Science topic

Synapses - Science topic

Specialized junctions at which a neuron communicates with a target cell. At classical synapses, a neuron's presynaptic terminal releases a chemical transmitter stored in synaptic vesicles which diffuses across a narrow synaptic cleft and activates receptors on the postsynaptic membrane of the target cell. The target may be a dendrite, cell body, or axon of another neuron, or a specialized region of a muscle or secretory cell. Neurons may also communicate via direct electrical coupling with ELECTRICAL SYNAPSES. Several other non-synaptic chemical or electric signal transmitting processes occur via extracellular mediated interactions.
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The rate of glucose consumption by the neocortex is reduced by over 80% during anesthesia (Sibson et al. 1998), which disables the synapses (Richards 2002) that are supported by glial tissue (Engl and Attwell 2015). It is the synapses that provide the brain with its computational power (Hebb 1949). Disconnected (pig) neurons on life support (e.g., Sestan 2018)[1] have no ability to transfer information, and some might argue that such cells have been reduced to having a computational power below that of a single-cell organism, the amoeba (Saigusa et al. 2008), since they have been taken out of their ‘social’ environment for the expected programming between individual neural members. The organizational life of a multicellular organism is no trivial matter, requiring that each cell be subjected to some biological constraints (Albert et al. 2002) in exchange for the energy efficiency obtained per cell, which scales as the 3/4th power of an organism’s body mass (DeLong et al. 2010; Kleiber 1947; Wells 2007). This process has been shaped by 500 million years of evolution. We are a long way away from merely dumping a bunch of disconnected neurons into a dish that self-organize into a superorganism that supports consciousness, a well-studied topic by entomologist E.O. Wilson (Wilson 2012). Indeed, this calls for taking evolution seriously so that one day we might be able to really engineer a superorganism, which is not trivial (also see ‘converting rodents into humans’[2]).
Footnotes:
[1] The Yale researcher, Prof. Nenad Sestan, has managed to keep pig brains that were detached from the body and on life support (i.e. a warm blood supply mediated by pumps) alive for up to 36 hours (Regalado 2018). This result created quite a sensation at the National Institutes of Health with some even suggesting that this could yield the possibility of studying consciousness and the brain in the absence of the body. A notable observation was that the EEG activity of the pig brains was flat. What is clear from this is that a body is necessary to give the brain life through feedback (Tehovnik and Chen 2015). The challenge now is to determine how much of the body (or its prosthetic equivalent) is sufficient to provide function to a brain. A similar misthinking, as that which motivated Sestan (2018), has occurred by investigators who have hooked up two brains via wires to create the illusion that significant information can be transmitted between them (cf. Pais-Vieira et al. 2013 & Tehovnik and Teixeira e Silva 2014).
[2] Converting rodents into humans: Brain tissues from humans, called organoids, have been implanted into the brains of mice raising the possibility of having human brain cells incorporated into the rodent biostructure (Mansour et al. 2018). Some have speculated that this could endow rodents with an enhanced cognitive ability if the number of human cells were numerous enough (Begley 2017). Note that there are some 71 million neurons in a mouse brain, so this would require a significant addition of organized tissue. A fear persists amongst bioethicists that such implants might give rodents some degree of humanness: i.e., augmented consciousness. But injections of neural tissue into a foreign body are riddled with incompatibilities such as problems with blood supply, immunity, and functional connectivity.
The bird brain, unlike the human brain, regularly injects itself with new neurons via neurogenesis, and therefore it might provide clues about the challenges of adding new neurons into another’s nervous system (Barnea and Pravosudov 2011). Cell proliferation, cell migration via glia, and cell replacement are some of the steps that make up neurogenesis. Riding the brain of old cells is also part of the process (as anyone who has ever received chemotherapy understands). To add, this process is tightly regulated. For example, in the canary, neural augmentation occurs in the vocal control nuclei during periods of song and mating (Goldman and Nottebohm 1983). The point behind emphasizing this detail is to show that for the new neurons to contribute, one might need to reprogram the existing tissues—neurons, glia, epithelia—so that the new neurons are accepted and utilized effectively. At this point, injections of human neurons into a rodent brain may be more prone to producing cognitive deficits than cognitive enhancements.
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A world expert on this topic is Nikos Logothetis who had an entire team of anesthesiologists working on your problem, so he could optimize the fMRI signal in his anesthetized monkeys. Send him an e-mail.
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We have mice brains that were over-fixed due to old PFA used during perfusion. Thus, the synapses are no longer being labeled by the Synaptophysin (SY38) mAB. which works perfectly every other time.
I have already tried antigen retrieval, but that has not been helpful either.
It is really important for us to label the synapses and we have no option but to use the over-fixed mice brains we have right now.
I am planning to try other synaptic markers like PSD95 and Synapsin next.
But I am open to more suggestions or troubleshooting ideas.
Would love to hear if someone has faced similar issues.
Thanks a lot.
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I would try VGLUT and VGAT antibody from Synaptic Systems, wich are very good in labelling synapses. Both are presynaptic markers. You can also use Homer1 (post synaptic excitatory) or Gephyrin (post-synaptic inhibitory). Also in this case, the Synapt Systems ones, works really good.
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The neurology of learning to ride a bike is illustrated in the left panel (this is not a proof but rather a heuristic, Fig, 3 of Gallistel et al. 2022). The cell is a Purkinje neuron (that is being classically conditioned). Imagine that after months of conscious, declarative training a child by day 600 (trial 600 in the figure, left panel) is finally off on his or her bicycle. This behavioral change should be reflected as an abrupt modification in neural firing within the cerebellum and the neocortex (Gallistel et al. 2022). Furthermore, the ‘consciousness’ of neocortex is immediately informed about the accomplishment once the child rides off on the bike (Ikeda et al. 1994; Libet 1985; Soon et al. 2008). Curiously, once learned. all records of the months of learning to ride seem to disappear which is why we all think (wrongly) that learning to ride a bike is a procedural, motor accomplishment rather than a conscious, declarative accomplishment. But we (including all parents that assist in the learning) all know better (see Tehovnik, Hasanbegović, and Chen 2024).
Contrary to what many assume (e.g., Duhamel, Goldberg et al. 1992), the efference-copy coding circuitry is located at the level of the Purkinje synapses, the same synapses that are modified during classical conditioning (Bell et al. 1997; De Zeeuw 2021; Gallistel et al. 2022; Giovannucci et al. 2017; Loyola et al. 2019; Shadmehr 2020; Tehovnik et al. 2021; Wang et al. 2023); the coding circuitry after being configured anew following a first successful bike ride, will require updates throughout life. For instance, such adjustments are made when a child’s vestibular system needs to undergo change due to body growth and further adjustments are made when the body begins to decline due to old age.
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I would recommend that you read the work of Stephen Lisberger and colleagues at Duke University, who are world experts of the vestibular system and therefore deserves you attention. Lisberger has authored many dozens of paper on this topic--all peer reviewed.
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We know that the brain stores data in neurons or networks of neurons. The data exchange center is called a synapse through which the data passes and is coordinated. The neurons are connected to millions of sensors. The question is can we run analytics on them or can we visualize our dreams?
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Dreams are thought to be generated by various processes in the brain during the REM (Rapid Eye Movement) phase of sleep, but the specific mechanisms by which they occur are not well understood.
Although we cannot yet "visualise" or "record" dreams in the conventional sense, researchers have made some progress in interpreting brain activity during sleep. For example, a study conducted by researchers at the University of Kyoto in Japan in 2013 used fMRI scans and artificial intelligence to make rudimentary predictions about the content of dreams.
The researchers first built a database of images by scanning the brains of participants as they looked at various pictures. Later, when the participants were asleep, the researchers scanned their brains again and used the previously collected data to predict what images the participants might see in their dreams. While the predictions were far from perfectly accurate, they were better than chance, suggesting that this approach has some potential.
Regarding the analysis of neurons and synapses, while it's true that these structures are fundamental to the operation of the brain, we currently lack the technology to observe and analyse their activity at the necessary scale and level of detail in a living, dreaming brain. The human brain contains approximately 86 billion neurons and an estimated 100 trillion synapses, making it an incredibly complex system.
While research into these areas is ongoing, it's important to note that this field is very challenging, and progress may be slow. As technology and our understanding of the brain advance, we can expect to see further developments in the future.
Currently, the primary methods of studying dreams still involve waking people during or immediately after REM sleep and asking them to describe their dreams, or having people keep dream journals where they record their dreams upon waking. These methods rely on self-reporting and memory, which have limitations but can still provide valuable information.
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Are there any published studies? Is the question sensible?
Consider:
Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex
Front. Neural Circuits, 30 March 2016 Volume 10 - 2016 | https://doi.org/10.3389/fncir.2016.00023
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Dear Robert,
There are studies. This one for example summarizes what has been experimentally learned for the past hundred years on the manner in which the neocortex stores and recovers memories and how it allows conceptual thinking. Published in 2019 and republished upon invitation in 2020. All formal sources are provided, most with direct links to these sources:
Best Regards, André
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I’ve been having numerous issues with achieving stable baselines recording from the TA-CA1 synapse from juvenile (P12-P24) rat hippocampus slices. In addition, when applying drugs such as antagonists/inhibitors which should not show any effect on baseline, I have been seeing gradual increases in synaptic transmission that differ from what other students have previously shown in my lab.
I cull my rats by cervical dislocation and slice in ice cold sucrose aCSF and allow the slices to rest for 1 h at RT in regular aCSF. I then stimulate and record from the TA-CA1 and my first slice usually takes 2-3 hours to stabilise. I oxygenate my aCSF for at least 40 minutes prior to putting a slice on the rig and I use a platinum harp to hold it down in the bath. My rig uses a gravity feed system and the flow rate is 2.5 mL/min. My recording electrode is filled with aCSF and I bleach the silver wire every few days.
When the slice eventually stabilises for 20 min, I add my drug which has been oxygenating for at least 10 min. I can often see strange increases caused by the drugs that have not previously been seen. I thought it might be down to changes in oxygenation but I’ve been keeping all of my solutions in similar sized cylinders and have increased my oxygen so that everything is saturated.
Can anyone advise me how I can improve this and shed some light onto why I am seeing such instability and increases when switching drug?
Any help would be much appreciated, as I feel as though I’ve exhausted all ideas at this point.
Thank you!
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I think that the speed of the flow rate can influence fEPSP amplitude. You may believe that your flow rate is constant between conditions, but if your system is gravity fed, it could be that the flow rate varies depending on the height of the solution.
Apostolos' idea about reference electrode is worth considering, but I believe that changes between reference (ground) and recording electrode will influence the absolute baseline values, but not the amplitude of the fEPSP.
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I heard that a group did a 3D EM reconstruction showing that some neurons could form both excitatory and inhibitory synapses, but I have been unable to find it.
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Yes, there are a number of papers that have come out showing that the same neuron can release both GABA (inhibitory synapse) and glutamate (excitatory synapse). Marisela Morales's group has shown this for VTA to Lateral Habenula projections (Root, et al. Cell Reports 2018 v23 p3465) and it's also been shown for Hippocampus (?) and one or two other areas as well I believe.
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I was thinking about VGlut2 (presynaptic) and PSD95 (post-synaptic) for the excitatory synapses, and VGAT (presynaptic) and Gephrin (post-synaptic) for the inhibitory ones.
Should I define as a synapse only the areas of colocalization between pre and post synaptic marker? Or should I consider also the isolate VGlut2/VGAT and PSD95/Gephrin ?
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I think that you can use the Golgi staining to measure the density
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Is there any experimental data for the amount of energy transfer involved in registration of a bit of information at synapse?
Is there any experimental data for the amount of energy transfer involved in bit storage and bit release (erasure)?
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As far as I know, there is no general agreement about what "a bit of information at synapse" means ... the synapse is probably one memory site, but the amount of memory of it can be measured in many ways (receptors, vesicles, neurotransmitters, spikes), all of them still controversial and incomplete.
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How many synapses in visual pathway?
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The count of 7 synapses is incorrect, it isn't simply one synapse per area mentioned in textbooks. For example, the retina contains many interneurons that are synapsing before reaching the retinal ganglion cell. It's impossible to put a precise figure on the number of synapses.
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We are recording field EPSPs in CA3-CA1 synapses from 2-3-month old WT mice. We can get good EPSPs (size trace in blue) but during the baseline the EPSP gets small (yellow trace) and then large again and cycles over the course of the baseline.
As you can see in the traces, the EPSP changes in size but the fibre volley remains the same, so I don't think the electrodes aren't drifting. We also wrap our recording electrodes with cotton so droplets of aCSF do not form and land on the slice.
Please let me know if you have any suggestions of other things we can check. Thanks!
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How many neurons have you recorded? Did all the recorded neurons exhibit the same pattern?
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I want to measure STDP for biological synapse but I am stuck on
1. how to give write and read pre-post synaptic pulses.
2. Data can read (read voltage) after pre-post or pre and post individually
Please anyone can help.
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Normally you would measure the time when a neuron receives an input (preferably at the location of the synaptic input) this gives you a presynaptic time. For the postsynaptic time one needs know when the neuron fires a spike. Once you have these times then its easy to apply the classic STDP.
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Good day,
we would like to see/count projections of 5-HT neurons and their synapses in the mouse/rat brains - mainly in cortical areas and the hippocampus - to see if they are affected by our experimental treatment. For that sake we would like to use immunohistochemistry on PFA-fixed free floating brain sections.
We already found that TPH2 immunohistochemistry (IHC) effectively visualizes 5-HT neuron axons. Right know we are looking for a marker of synapses to combine with TPH2 IHC so that the synapses stained with TPH2 are doublestained with this marker. We already tried synaptophysin+tph2 combination but sadly synaptophysin signal was too abundant (unspecific). So now we are looking for a marker more specific to synapses of 5-HT projections to pair with TPH2 IHC. Any ideas we can try? Thanks in advance for any input.
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Hy to stain neurones and synapses for electron microscopy it’s necessary to use antibodies against 5HT labelled with colloïdal gold or HRP revelled by DAB or TMB. Good luck
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Parallelism is said to be an important difference between digital and human brain computation? If brains can use dimensional capacity to obtain computational advantages (if they do) then can computer architecture be modified to emulate brain architecture?
Reference
Nagarajan N, Stevens CF. How does the speed of thought compare for brains and digital computers? Curr Biol. 2008 Sep 9;18(17):R756-R758. doi: 10.1016/j.cub.2008.06.043. PMID: 18786380.
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I agree with brains parallelism. However, is the brain merely parallel processing with the continuous formation of multiple neural pathways, or is mind-controlling the parallel processing or is the brain and mind the same with no difference is still a question.
I have read a few things about quantum states, string theory and their dimensions.
In string theory, the multiverse is made of different dimensions but the highest in the 11th dimension. Beyond 11 dimensions, the universe would become unstable, and dimensions higher than 11 would collapse to an 11-dimensional universe.
With the increased understanding of particle physics, quantum theory, string theory, the human mind, psychology, other topics of quantum jumping, parallel realities, multiprocessing architectures and chips. Possibly we could one day in the future have a great computer system with Dimensional computational Architecture.
Thank you for the question. Really interesting.
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My research is about memristor-based synapses. Spike-timing-dependent plasticity has been routinely reported in different papers.
Here is a description from the paper "The spikes from both preneuron and postneuron arrive at the synapse occasionally in the opposite direction [7]. In STDP, the change of the synaptic weight is the function of relative neuron spike timing ∆t (∆t = tpre − tpost), where tpre is the time when the presynaptic neuron spike arrives and tpost is the time when the postsynaptic neuron spike arrives [4]. In a typical STDP behavior, if postsynaptic neuron spike arrives after presynaptic neuron spike (∆t < 0), the synaptic weight increases. If postsynaptic neuron spike arrives before presynaptic neuron spike (∆t > 0), the synaptic weight decreases." (10.5772/intechopen.69535)
I do not know how to get ∆w. Here ∆w should be the change of conductance (G). according to my understanding. ∆w=G (before pulse)-G (after pulse). My question is "what is the G (before pulse) and how to chose the G (before pulse)". In published papers, they get many data points of ∆w determined by ∆t. shall they use the same G (before pulse) and monitor the G (after pulse) after pluses with different interval times? But the resistance of memristors is tunable, how can they confirm the same G (before pulse)?
Thanks
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Hello,
the full formula to calculate ∆w should be ∆w=G(after pulse)-G (before pulse)/G (before pulse). To get the conductances before and after STDP spikes, you should probe the device with low voltage pulses and then, you can calculate the conductances. Alternatively, you can just calculate ∆w with current instead of conductance.
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Hello everyone,
Is it possible to calculate the E/I ratio on single-cell levels only based on miniature signals (Excitatory and inhibitory)?
If yes, then what parameters should I take to calculate it? and how?
Currently, I can get lots of parameters from mIPSPs and mEPSPs such as the number of events, decay and rise time, area, baseline, noise, half-width, 10-90 slope, etc...
Which one of these can i use to calculate the E/I balance and the calculation mathematical formula?
Thank you!
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What do you think the E/I ratio is? What do you hope to show? If you wanted to, you could calculate the total charge transfer due to mIPSCs, and the total charge transfer due to mEPSCs, and take the ratio of those, but what do you think that would demonstrate? Do you think that metric would have the same information as when someone reports the time varying E/I balance due to a sensory input? Think about what the rates of minis represent, think about what the amplitudes represent. And think about whether if you did some math on these, whether they would answer the question you hope to answer.
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I need a marker protein that is expressed only in the post-synapse, not outside the synapse, preferably with a reference, thank you. PSD95 is not suitable for my project .
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For inhibitory synapses, you could evaluate the presence of gephyrin at the postsynapsis.
Pizzarelli R, Griguoli M, Zacchi P, Petrini EM, Barberis A, Cattaneo A, Cherubini E. Tuning GABAergic Inhibition: Gephyrin Molecular Organization and Functions. Neuroscience. 2020 Jul 15;439:125-136. doi: 10.1016/j.neuroscience.2019.07.036. Epub 2019 Jul 26. PMID: 31356900; PMCID: PMC7351109.
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Does it form networks in 3D cell culture (e.g. when grown in collagen matrix)? What other options for neural cell lines (PNS related) exist that show network connectivity? Can the network connectivity be tested without co-culturing with other cells? Literature shows that NG108-15 forms synapses when cultured together with muscle cells.
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Previous studied have demonstrated the ability of NG108-15 cells to potentially form neuromuscular junction as co-cultured with different types of muscle cells
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Dear all,
I would try for the first time the DiI crystals for tracing neuronal pathways. I'm wondering if the Dil labelling, applyed post-mortem and post-fixation period, should pass the chemical synapses or not, as biocitine does. Just because I'm interested in labeling only the first neuron of the neural pathway, and not the second or the third etc.
Thank you in advance
Riccardo
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In most cases, if you biolistic delivery it does not. Unless you have severely shrunk samples.
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Matlhworks provides ANN Toolbox for constructing and training ANNs. However, one come across situations where e.g. MLP with a single hidden layer will not predict accurately enough the outputs one is expecting. Trying to add more layers may end up with endless training sessions. My question is two fold:
First: Does Python truly address this issue ? Any examples and references?
Second: Is there any visualization tools that shows the dynamics of the ANN during training or utilization after training? In other words, are there any tool that shows values of weights (synapses) and neurons dynamically?
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I think you have to give emphasize on optimizing algorithm which can increase performance. Choose deep learning algorithm as per your data and requirement.
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Chemical synapses are clearly necessary to the operation of Earth brains as they have been conserved omni-presently and refined and differentiated for hundreds of millions of years.
1) The synaptic gap is only on the order of ten times the size of a neurotransmitter molecule, and anchored to hold its dimension. This means the gap is a tightly-controlled busy place with dense chemistry going on. That supports the possibility that the "neural" correlate of consciousness is entirely disconnected from the neuron, and an effect of molecular goings-on in the gap. We know that some neurons correlate to consciousness and some do not, and that different neurotransmitters are used by different neuron types, and that some neural circuits produce pain and others, pleasure.
2) The actions between the neurons means there will also be electric potential swings across the gap (which also influence the closely-spaced molecules therein).
3) The scales and densities involved also suggest the possibility of multimolecular quantum effects.
For consciousness to both arise from and affect electrochemical brain activity, there must be a locus of rich enough physics and with sufficient opportunity for continued evolution.
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Dear Roman I strongly agree with your interpretation that consciousness is not directly related to the neuron.
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Hello everyone,
I'm currently studying a certain synapse and, apart from the functional characterization, I want to show that a receptor is present in a certain type of cell.
Recently, 4 different papers have been published that perform single-cell RNAseq in that kind of cells with slightly different controls and all of them have made available both the raw data and the pre-processed data with the normalized and corrected relative expression levels.
As my only intention is to show that 2 genes are being diferentially expressed in my cells of interest, I thought about showing the log 2 fold-change in expression for my genes of interest vs. the corresponding control for each study.
Is this acceptable or I have to inevitably perform the analysis from scratch with the raw data from each study?
thanks in advance!
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In general, omics data needs to normalize properly due technical noises. If you want to merge a number of different datasets from different studies, only normalization will not be enough. You need to minimize the batch effects. Many meta-analysis without batch effect minimizing are getting publish though. They are full of biases. Applying log2 for normalization might not be enough. Check the normality of data. If not normal/semi-normal, you need to use rule-base normalization in addition. After that, you can minimize batch effect using comBat. See batch-effect part here ( )
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We have several fixed coverslips of NK cells synapsing to cancer cell lines, which we were going to use in an experiment with demo equipment. The cells are labeled with Dil, but during the experiment, it became apparent that this dye was bleeding through into the green channel. I'm not sure whether the instrument just had poor quality filters or if this is just the dye itself, but in any event, we'd like to possibly use these slips for confocal imaging to look at the immune synapse.
Even if the Dil will stay in the red channel on a better imaging system, most of our conjugated antibodies are bound to Alexa 488, 568, or 594. We'd need to stain with 2 colors, and the dil will interfere with both 568 and 594 on our system. Does anyone know of a way to remove the dye? Or can we just blast the slides for a while/leave them out under the lights to bleach the old dye, and re-stain with whatever we want?
I'd like to avoid having to buy a blue fluorophore-conjugated Ab if possible, as we'd like to keep using DAPI for counterstaining. If anyone has any advice, it would be greatly appreciated!
P.S. I'd like to avoid making new coverslips at this point, as we've been having trouble culturing these (transduced) NK cells and our supply is dwindling -- otherwise the obvious solution would be to just re-make the coverslips!
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Dear William,
If the problem is that DiI contaminates the Alexa 488 signal you could try to 1) increase the A488 labelling intensity, so that the DiI contamination can be tolerated, 2) subtract the DiI signal from the A488 channel by measuring the percentage of bleed-through in DiI-only control samples, or 3) lower the A488 excitation wavelength and narrow the A488 emission filter.
I do not think that you can use either Alexa 568 or 594 in conjunction with DiI, since the spectra overlap too much. If you need another colour, you may have to re-consider the blue part of the spectrum (or far-red).
Given that DiI is very lipophilic it will be almost impossible to remove it from your samples. In future experiments, you could reduce the DiI labelling (concentration/incubation time), so that the bleed-through will also be lower. I do not advise to try the bleaching approach: DiI will take a long time to bleach and you will most likely fry your epitopes so that subsequent immunolabelling will not work!
Hope this helps,
Chris
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I suspect the stimulation intensity of paired-pulse stimulation will affect whether it will be PPF or PPD, or the percentage of enhancement or depression. Please advise what the best the intensity of paired-pulse stimulation to correctly reflect the pre-synaptic release probability of given synapse.
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Thank you very much Dr. Engelhardt! Sorry for the late of response, I lost track of my question.
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I'm trying to find examples of EM being used in rodent brain tissue for quantification of synapse density and ultrastructure. If this has been done, are there special considerations that have to be taken into account when preparing the brain tissue at these early stages. The earliest I've seen is P14, but I'm hoping to find examples before this; P0-P12, if they exist.
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Perhaps the literature on the Calyx of Held synapse is useful for you. You can check Sätzler et al. (2002, JNeurosci), Hoffpauir et al. (2006, JNeurosci) and Holcomb et al. (2013, JNeurosci).
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Hi there,
I'm currently working on a project that aims to classify synapses into three distinct classes.
Class One: Containing only PSD95
Class Two: Containing only SAP102
Class Three: Containing both PSD95 and SAP102
I am looking for any open-access software that would allow me to quantify both individual synaptic puncta and those that are colocalised.
Any help would be really appreciated.
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Dear Eva,
I've tried ImageJ but can't seem to able to find a suitable plugin that will let me analyse individual and colocalised puncta?
Best,
Seb
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Autism spectrum disorders are a group of neurodevelopmental disorders, one of the main characteristics of which is impaired social communication. But what happens in patients' brains that disrupts their social skills?
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Just a suggestion:
Brains are self-sculpting organs and the opportunity for self-sculpting is much greater in humans than in other apes because of secondary altriciality (rapid brain growth continues after birth) and extended childhood (more than in chimps). 75% of human brain growth occurs outside the womb whilst infants are active in the world, and busy sculpting their own brains. Self-sculpting is achieved in two waves each marked by rapid arborization followed by pruning (greatest anatomical change between 2-5 years and 11-15 years). Normal children spontaneously do all the right things to ensure normal development of self/other awareness (intersubjectivity) such as song-and-dance display, pretend play, role-play etc. Autistic children are deficient in pretend play and I think this is the major reason for their social deficiencies (according to social mirror theory and the "play and display" hypothesis).
Autistic people tend to have larger brains than normal which suggests normal arborization with inadequate pruning.
These two factors (deficient play and pruning) may explain their social problems, intollerance of change, and the occasional prodigies of art, music, maths, etc.
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Hello
I would like to isolate synapses from whole brain lysate. We have a ultracentrifuge with Sorvall SS-34 rotor. Does someone recommend centrifuge tubes that fit in the rotor and that are puncturable so that I can suck out the different phases? I found some Seton tubes online but I am not sure if they fit or whether they are too narrow. Are Nalgene tubes thin enough to pierce? First time doing this so any advice greatly appreciated!
Thanks!!
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Dear Chris
Thanks a lot for the answer and the paper. I will give this a go next time. Fingers crossed.
Thanks a lot!
Janosch
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Hi,
I am a second year graduate student and have been doing flow cytometry on embryonic neurons as a part of my experimental procedures. The neurons were cultured in vitro and allowed to form synapses for 10 days after which I used them for flow cytometry. In order to understand the percentage of live and dead cells, I used 7AAD as a marker. Ideally, I would have expected two distant peaks indicating 7AAD positive (dead cells) and 7AAD negative (live cells). However, my graph has three peaks.It looks like a negative peak and two positive peaks. I am however a little confused about this and wanted help to interpret this data.I am attaching the histogram plot in order to get an idea of what it looks like. If anyone has any inputs please do comment. I would really appreciate your help.
Thank you.
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If in your conditions neurons strongly attach to the substrate, the method that you use for harvesting neurons will cause cell damage. I think that it is likely that you have early and late necrotic cells, because late necrotic cells show a more damaged cytoplasmic membrane and incorporate higher amounts of 7-AAD compared to early necrotic cells. Also, it could be cellular aggregates. To be sure, first discriminate aggregates (FSC-A vs FSC-H) and then you can make a FSC -A vs 7-AAD dot-plot . Late necrotic cells will be smaller and with higher fluorescence for 7-AAD, respect to viable 7-AAD negative cells. By contrast, if what you are obtaining is a cell cycle profile of the dead cells, as Waqas suggests, you will find that cells with a higher fluorescence for 7-AAD tend to be bigger. In any case, FSC -A vs 7-AAD dot-plot will allow a better discrimination of live and necrotic cells because you will analyze two parameters instead of one.
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Hello! I try to stain some synaptic proteins (synaptophysin, synapsin, SNAP-25) by immunofluorescence in synapses on mSOD1 mouse diaphragms, but I have faced 2 problems - first, sometimes the background fluorescence is high too much. Second, sometimes specific fluorescence of the proteins absents absolutely.
So I am wondering does anybody have a good, well-working protocol? Could you please share it with me?
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Hi,
Thank you very much!
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If so, can we use electric as stimulus to increase the IQ?
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Okay, mysterious brain! Thanky you , sir!
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I wish to test the synapses in the ASD brain vs those with N typical. Specifically immature neurons within the e/i networks targeting glutamatergic/GABAergic alongside their contributing networks. which program(s) could do this at preferably lower cost?
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Hi Melissa,
that depends on the level of biphysical detail you wish to incorporate into the network model. If you want to use a spiking network model, then NEST (http://www.nest-simulator.org/) and Brian (http://briansimulator.org/) are probably a good choice for point neuron models and Neuron (https://www.neuron.yale.edu/neuron/) [maybe together with NetPyNE (netpyne.org)] for biophysically more detailed Hodgkin-Huxley type multicompartment neurons.
Best,
Christoph
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Is there any software for drawing synapses and neurons?
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BioRender might be a good option (https://biorender.io/)
It's an online app that contains a library of pre-made cells, proteins, membrane shapes, organs, lab equipment, etc. that you can drag-and-drop so you don't have to spend time drawing each element of the figure yourself. Saves a LOT of time and the final figures you create are professional-looking. Plus, it's free for educational use.
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I am trying to plan an experiment in which I am trying to silence neurons in a circuit-specific manner. I would like to target neurons in a certain nucleus that project to the cortex and synapse onto neurons that descend to the spinal cord. I'm looking for either an anterograde AAV or a mouse that expresses DREADDs (particularly hmd4i) in a Flp-dependent manner. I've found mice that express DREADDs but require both Flp/Cre recombinase, but because of my experiment design (I don't want to burden you with details) I can't express Cre in my neurons of interest. Any ideas? Thanks!
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I currently breed mouse lines that express VGaT::FlpO, VGluT2::Cre, or both. We inject DREADDS (both hM4D and hM3D) using stereotaxic techniques into the specific brain regions we are targeting. As far as I know, we are one of the only, if not the only lab, to have access to the double transgenic mouse expressing both Cre and FlpO in this fashion. I’m happy to help further if needed!
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Hello everyone!
In your experience, changes in the expression of which genes better represent synaptic growth and activity? I look for a marker of vesicular pool (quantity of synaptic vesicles, more precisely) and a marker of synaptic activity itself - whether the synapse is actively working or silent. I'm thinking about SV2, VAMP-associated proteins and synaptotagmin.
Do you have any suggestions?
P.S. Method - real-time PCR
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Hi everyone,
for synaptic activity i would suggest for c-Fos or ARK. They are the best characterized IEG for monitoring synaptic activity.
Cheers
Luca
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I am working on a experiment to analyze the immune synapse between T cells and macrophages. In our protocol to stain the cells with fluorescent markers, we have quite a few pipetting, washing and centrifugation at 300G steps, before and after fixation.
I am wondering how many immune synapses get disrupted by all these mechanical forces. Does anybody have an idea how strong and rigid this complex is?
Thanks in advance!
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I am not exactly sure about the conditions of your experiment and your readout, but especial most of the time the pH, temperature, concentration and the quantity washing buffer are important things which can disrupt after certain limit. so in my opinion it may be better to check those things and standardize the work protocol. Good luck
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Hi All,
I was wondering if anyone knew of any correlation analyses comparing the size of CA1 pyramidal cells and frequency of spontaneous activity. Doing the eye test, it seems like I’m getting increased rates of sIPSCs onto CA1 pyramidal as the cell size increases (measured by capaticance).
Additionally, I was curious about the best way to interpret miniature (with TTx) IPSC frequency data. If the frequency is increased compared to control, can you conclude that there are increased numbers of synaptic connections or that the vesicular release probability is increased or both? My gut tells me it is both and I’d have to do other experiments to tease apart the exact mechanism...ie paired-pulse for release probability and some sort of synaptic labeling and counting for increased synaptic number.
Thanks,
Chad
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There were modifications in the numbers and activity of inhibitory interneurons in hippocampus associated with lower theta power in a mouse model of schizophrenia. These modifications could contribute to deficiencies in learning abilities and spatial working memory observed in this model of schizophrenia . The attached research article reported a decrease in number and activity of CA1 -interneurons.
Hippocampal place cell and inhibitory neuron activity in disrupted-in-schizophrenia-1 mutant mice: implications for working memory deficits
A very interesting research article that would help you answering your questions.
Best of luck.
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I'm looking for references to justify max and min conductance values of synapses containg AMPA and/or NMDA receptors in a biophysical model using the Neuron simulation environment. If I can be really specific I'd like values from stellate cells in the medial entorhinal cortex. But general values would be fine. I have some general numbers I'm playing with that I've found from different sources but those sources don't have any citations. So for AMPA I've found a range form 0.1-1.5 nS and for NMDA 0.05-3.9 nS.
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You can search in pharmacology guide web site.
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I'm trying to come up with an LTP protocol induction(TBS) in CA1 pyramidal neurons which reliably lead to firing of neuron.
I'm using a theta glass for bipolar stimulation and the diameter of the tip is approximately ~40-50um. I'm interested to stimulate proximal synapses of SC.
when I set the baseline EPSP to be around one third of the difference between firing threshold and resting membrane potential, in most cases I won't get a spike although I can see the potentiation effect.
I tried different position for stimulating electrode when it's distant from the neuron (more than 600um) I can't usually get big EPSPs.
What is the best strategy to have spikes during induction?
Should I try blocking interneurons?
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You could try the theta burst pairing protocol. Here you would pair each (or some of the) synaptic stimulations during the TBS protocol with spikes artificially introduced by somatic depolarizations. Set the baseline somatic EPSP value to be around 4–5 mV, and do not change the stimulus intensity or the RMP throughout the experiment — even during the theta-burst pairing protocol. This is one of the most reliable and robust LTP protocols for SC synapses.
Keep the stimulus electrode close (40–50 µm sounds fine) to the neuron that you are recording to ensure robust and reliable responses even with low stimulus amplitude.
The protocol and the delay between stimulus and the action potential during the pairing protocol may be found in the following publications. You will note that you can modulate the number of pairings per burst during the protocol to alter the mechanisms and the strength of the LTP induced.
If you're blocking inhibition, ensure that you make a cut between the CA3 and the CA1 to avoid activating the CA3 recurrent collaterals through antidromic stimulation.
References:
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Hi there,
I've recently started recording fEPSPs from coronal sections (incubating with bicuculline), focusing on the CA3-CA1 synapse. I put my stimulating and recording electrodes both in the middle of stratum radiatum of CA1, about 100µm apart. I'd like to confirm some uncertainties I have about the recordings. in Image A, is that the presynaptic fiber volley? As I increase the stimulation intensity, I get Image B. What is the small peak at the beginning of the trace? Also, other peaks aside from the fEPSP start to appear, what are those? Is that normal? Finally, when I start my paired pulse ratio protocol (ISI = 50 ms), I get these strange looking peaks in the trace. What are those? I'm saying these look strange because in representative traces from Kaeser et al. 2009, they look very different (refer to image D). If there may be something you notice that is wrong, please point it out as that would be greatly appreciated.
Finally, I wanted to confirm that during stimulation, the membrane of the neurons being stimulated are depolarized, which will induce glutamate to be released at excitatory synapses and GABA to be released at inhibitory synapses, which leads to influx of sodium and chloride, respectively. The purpose of bicuculline is to block the GABA currents, and ensure that the output is purely from excitatory synapses?
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Hi there,
my first time answering here but I'll try to help.
In A, yes that seems to be your fiber volley. In B the small peak right after your stimulus artifact seems to be an upward peak of your fiber volley. I don't see these myself as I work with low current stimulation, but it reminds me of the figure 3 in supplement of the paper "proBDNF negatively regulates neuronal remodeling, synaptic transmission, and synaptic plasticity in hippocampus".
The other peaks (in B, but most prominently in C) look like circuit activity. This is more prominent in the presence of biccuculine because inhibition is lifted.
And lastly yes, biccuculine is blocking GABA(A) receptors to diminish inhibition and ensure you are recording excitatory responses.
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I have tried to stain the GABA neuron marker GAD67 in the hypothalamus paraventricular nucleus (PVN) brain region. After trying some antibody condition, I still can't see the GAD67 signal expressed on the neuron soma, but it seemed that some signal expressed on the synapse in the PVN. However, I can clear see the GAD67 neuron soma signal in the cortex and other brain region such as hippocampus. The attachment is the results. I am looking forward to some suggestions. Thank you so much.
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Elena,
For GAD67 we use a specific protocol. Please see if that improves your staining:
1) Relocate slices to 24-well plate, with PBS
2. Rinse in 0.1M Tris (pH7.6), 5 min/each x 3 times with shaking
3. 1 st blocking in Tris-BSA (0.1 M Tris, pH 7.6, 0.005% BSA) x 15 min at RT
4. 2 nd blocking in 10% NGS in Tris-BSA x 1hr at RT
5. Incubate slices with Ab1: Mouse anti-GAD67 1:1000 dilution in Tris-BSA at 4C overnight with gentle shaking.
6. Wash slices with Tris-BSA for 10 min/each x 3 times at RT
7. Incubate slices with Ab2: Goat anti-Mouse Alexa antibodies 1:1000 either for 2hr at RT or overnight at 4C.
8. Remove Ab2, and incubate slices with DAPI 0.1M Tris for 15 min, followed by 3 more wash in 0.1M Tris with 15 min/each.
9. Mount slices on microscope slides with mounting medium.
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I am using SHSY5Y cells to develop neuroinflammation. I wanted to use MAP2 as a marker, but MAP2 only indicates the cells are differentiated. Is it necessary to ensure the cells are mature (eg: have synapse (synaptophysin as marker) to validate my in vitro model of neuroinflammation?
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Hi Noor,
Although it is not totally necessary, I would recommend it or I would try both. Non-mature neuronal cells can behave very different and present diverse antigens. However, some differentiation protocols can be a little... "tricky". You can obtain some aberratic cells that can interfere with your results.
Overall, I would do some testing using both to characterize your in vitro model.
Regards,
Jordi.
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Hi all,
Recently I have been working on analyzing the immune synapse formation using imaging flow cytometry. I co-culture mouse APCs and T cells and subsequently perform fixation/permeabilization and different staining steps with fluorescent antibodies.
I am wondering how strong the immune synapse is, and if it can withstand external mechanical forces like pipetting and centrifugation. I have been successful in finding cells that are crosstalking with each other, but I don’t know if this number is reduced due to the steps of my staining protocol.
Thanks in advance!
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Hi Emmamuel, what would according to your experience be the maximal strengths the immune synapse can sustain? My centrifugation steps are at 300G, and I try to pipette gentle when perform washing steps.
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Hi Victoria
At least for brain structure, ECM (Extra Cellular Matrix) has a definitively support role for synaptic plasticity:
This is very interesing and informative:
In animals ingeneral, as https://www.ncbi.nlm.nih.gov/books/NBK26810/ expresses, ECM contributes to several tasks. As a consequence, your suggestion is an interesting one and has some empirical support. The point now is to define with more detail how it works and in which circunstances.
Best,
Jordi
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I'm making a model of cortex with an excitatory layer (e.g. layer 2/3 pyramidal neurons) and an inhibitory layer (e.g. gabaergic interneurons). Right now I'm refining the connection matrix. I have the option to eliminate reciprocal connections where neuron A connects to neuron B and B back to A. This would affect the extent of positive feedback in the system. I would like to base this on biology. I did a quick search for this and didn't find exactly what I was looking for. Hoping you might know answer or a relevant paper offhand.
I know that identifying a synapse between two cells can be done in various ways with various trade-offs. Serial electron microscopy would give the most detail, but serial EM reconstructions haven't even been achieved of much more than a single neuron, much less a group. Fluorescence based methods often require some interpretation. Dual patch clamp electrophysiology might be the best approach but is low yield.
Also, if this isn't known, that's good to know as well.
Thanks in advance.
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Older literature that might interest you:
Miles R. (1989) Synaptic excitation of inhibitory cells by single CA3 hippocampal pyramidal cells of the guinea-pig in vitro. Journal of Physiology (London), 428, 61-77.
Lisvarday et al. (1986) Synaptic connections of axo-axonic (chandelier) cells in human epileptic temporal cortex. Neuroscience, 19 (4), 1179-1186
Not knowing what you might want to do with your model once it's constructed, I will suggest a couple of my own papers.
David D. Vogel. (1998) Auto-associative memory produced by disinhibition in a sparsely connected network. Neural Networks, 11, 897-908
David D. Vogel (2005) A neural network model of memory and higher cognitive functions. International Journal of Psychophysiology, 55, 3-21
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Currently I use “Reconstruct Synapse Web”, made available by the Harris lab at the University of Texas at Austin. Although I am very familiar with this software and do enjoy using it, it requires me to segment all of my TEM series manually. I am looking for a segmentation program that is at least somewhat automated in order to increase my efficiency in taking blocks of tissue to the reconstruction stage. I have heard that the Lichtman group at Harvard utilizes a program called ”Mojo” to do this but I have been unable to get the program to work for me from its link on their website. If any of you know a suitable program that you have used could you please let me know?
cheers
Ian
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Andreas and Sohaib, thank you for taking the time to provide me with these potential solutions. I will look into these and post again after I tinker with them.
much appreciated,
Ian
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I am looking for a way to localize energy use in a synapse during endocytosis of the synaptic vesicle cycle.
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Hi Clara,
Synaptotagmin-ATP is a genetically-encoded ATP reporter from Tim Ryan's lab you can use.I attach the link to his article below:
Hope this helps.
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I'm trying to find a method to study the number of active mature synapses of purkinje cells (PCs) in the critical week of cerebellum development. I thought about mesuring AMPA-mediated mEPSC (whole-cell patch clamp). However, I'm not sure if I can compare different ages between P10 and P15 considering that the arborization of PCs is critically different at these ages and I can have space-clamp problems. 
Do you think you can help me?
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It's hard to say without knowing exactly how much changes in the dendritic properties of PC cells you expect between P10 and P15. To be confident, I would suggest neuronal modelling, but that will probably take too much time unless you already know someone who is very competitive at multicompartment modelling.
I'm somewhat tempted to suggest something like the following: fill you PC cell with Alexa, so you can visualize it's dendrites, then, at a proximal section of dendrite, puff a high sucrose solution from another pipette. This *should* cause release of synaptic vesicles. Then somehow quantify the magnitude of the release event. If you do this on animals at P10 and P15, you should be able to keep the distance from the soma constant. The sphere of influence of the sucrose should be constant. Hence the only significant change should be the number of active synapses within that sphere of sucrose.
It's not perfect, as if there are large changes in the membrane properties you could get different space-clamp properties, and you'd need a microscope with epiflourescence (unless you're DIC is good enough to visualize dendrites with confidence) and if the nature of the neuropil changes significantly, perhaps the sucrose could get further (though I doubt the last one). Still, it's as good a solution as I can think of at 9 in the morning.
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I have done some loss of function experiments in primary hippocample neurons. The neurons were transduced with a lentivirus having a GFP reporter. The neurons were further stained with postsynaptic (PSD95- Alexa 546) and presynaptic (Synapsin1- Alexa 633) proteins. We are trying to quantify synapse density in transduced neurons, considering one synapse as the colocalisation of Red, far-red and Green channel. I have tried it in Fiji (another version of ImageJ) but I am getting stuck in particle analysing step. Can anyone suggest of other ways to do it?
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Contact Prodanov, he is on research gate.
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Does anyone have any experience using cyclothiazide (CTZ, 100uM) plus kynurenate (KYN, 300uM) in patch clamp recordings on mouse or rat hippocampal slices? We are trying to use KYN block (competitive glutamate antagonist on APMA receptors) from evoked EPSCs at the CA1 synapse as an indirect way to measure glutamate's timecourse within the synapse. 
I can isolate decent AMPA responses but the addition of CTZ is giving me some odd results. I first add 200uM APV and 10uM gabazine to isolate APMA responses (monopolar electrode, stimulating Schaffer collaterals in mice and rats aged P11-18).
In mice, I'm seeing APV, gabazine, CTZ, and KYN potentiate evoked EPSCs rather than inhibit/dampen them. To ensure our drugs worked, we performed two electrode voltage clamp experiments in oocytes expressing rat GluR1 and they worked just fine....CTZ potentiated due to relief of desensitization and CTZ plus KYN inhibited current to ~50% of CTZ plus saturating glutamate (100uM). 
Currenty working on the same experimental set up in rat slices (CTZ then KYN inhibition) as we thought there may be a species difference. Most, if not all, experiments using these compounds are in rat, not mice. 
Does anyone have any experience with these compounds, particularly when used together in slices? Any feedback would be greatly appreciated. 
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Linda and Matthew, 
Thank you both for the responses. I used KYN at 1mM today and still got no block. If anything, my results are indicating that the presence of KYN decreases the amount of time it takes for CTZ to have its full affect and block desensitization. No idea why. 
For our experiments, we want competition. I think we are going to try moving in another direction....using a low-affinity NMDA blocker to evaluate glutamate's timecourse within the synapse (Diamond 2001, J NeuroSci). 
From my brief reading, NMDARs don't desensitize nearly as much as AMPARs. However, it definitely still happens. Are there any drugs to prevent NMDAR desensitization? Or is the desensitization of NMDARs negligible when recording synaptic events, i.e. time spent in the desensitized state? 
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Hi, I am doing extracellular field recording from CA1 region of hippocampus in rat. 
I usually have robust and big response (amplitude ~1mV) in older rat.
However, I could not get a big response in p7 rat (postnatal day 7) .
I need to isolate NMDA component from my response so it really needs to be big and stable. 
I slice the brain in ice cold sucrose solution and it works for older rat.  
Is p7 known to be difficult to get big CA1 response?
Are synapses not developed in p7 yet?
Anyone has a trick to share?
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Dear Refik, 
Thank you for the reply. I will give it a try to what you suggested! Thanks!
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I have noticed an increased in the asymmetrical synaptic excitatory junctions to be increased in the diabetic brain but could not find any discussion of this in the literature at present.  If you have any information or publications regarding this question please share with me when you have the time.  
My hypothesis is that in younger diabetic brains this increase in asymmetrical synaptic excitatory junctions may result in an overuse phenomenon and result in a later or older models in their attentuation and or loss as in accelerated aging in the diabetic brain.  Thank you for your time and consideration.
Sincerely,
M.R. (Pete) Hayden, MD 
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Dr. S. Liu,
Your answer was very much appreciated and I have learned a great deal due to your paper in PNAS.  I am going to be studying the db/db K strain model in the coming months, while I will be focusing my TEM  studies of this model primarily on the neurovascular unit I will also be evaluating the  dysmorphic myelin white matter and due to the better understancing of you PNAS paper I will be keeping a close observation regarding the assymettrical excitatory snapses as well.  You paper really helped and I am so thankful for your earlier response to my questions regarding an observation of increased excitatory synapses in the type 1 model and now will be alert to observe similar changes in the obese T2DM of obesity insulin resistance hyperinsulinemia  and persisitent elevation of glucose levels well above the diabetic range for mice  - approximately 300-400 ranges. 
Sincerely ,
M.R.(Pete) Hayden MD 
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Anyone have a protocol written up?
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Dear Yemi, 
In this paper: 
I used an ImageJ plugin to quantify number of vesicles, clustering and the length of synaptic active zone and several other measures. Happy to send you a more detailed protocol if that is useful to you. 
The same method was used in this paper as well:
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what is the mechanism of neurotransmitters  be removed from synaptic clift of synapses ?
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As the neuron is stationary and polarized, This could be at  to at its sleeping potential. It stays this manner until a stimulus comes all along.
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A linear summate and fire default model of post-synaptic integration would not require inputting axons to synapse at any particular place within the dendritic tree of the receiving neuron. However, if post-synaptic integration was non-linear and possibly pattern sensitive it might be essential that the site of each synapse bore a relation to the meaning or significance of a specific input signal. Thus for a multimodal high-level sensory neuron signals originating from different primary cortices might arrive at different domains of the dendritic tree.
I would be very interested to know whether there is already useful information on this topic or whether anyone hopes to collect such information.
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The doi seems to match. The Trettenbrein paper is certainly interesting. I see it makes a lot of Randy Gallistel's 2009 book, which I was looking at last week for other reasons. I have sympathy with the idea of information being stored in cell structure independently of synaptic 'weight' but have always thought Gallistel was sticking too closely to a Turing analysis in developing his question. 
And I guess my question remains the same: do we know if synaptic site matters for meaning?
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Stimulation of apical dendrites (stratum radiatum) in CA1 region in hippocampal slices using MEA device induces a negative extracellular response due to Ca2+ and Na+ inward flow by activated-NMDAR and AMPAR at the synapsis. It also induces extracellular positive response in soma and basal dendrites due to passive return current.
I would like to know the ionic basis of this passive return current. Could It be due to Ca2+ waves and activation of BK and SK channels at the soma?
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Think simpler. Any inward current in the dendrites must be associated with an outward current in the rest of the cell. What is available to pass that current? Firstly there is the current due to the capacitance of the membrane (which I believe is negligible, but don't quote me on that), and secondly there are the ion channels that are open at rest. Most notably leak potassium currents, and the h-current.
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is this theory right?
Pathway 1:  the fast increase of intercellular [K+] produced by the spiking activity of the postsynaptic neuron.
Pathway 2: the slow production of a mediator (Glutamat) triggered by the synaptic activity.
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Local increase includes 
1, K+ release from axons as a results of APs.
2, synaptic transmission, which is a major source. 
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I have read a lot of papers from neuroscience ... psychology ... Biological sciences... they talk about the roles of astrocytes in synaptic plasticity? Is there any evidence to consider astrocytes as the main player of plasticity not the neurons?..is it possible that the plasticity definition based on changing of astrocytic strength by synapses, as well as altering synaptic strength by asrtrocytes? 
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Dear Bassam:
"Neural" includes neurons and glia.
The concept of "plasticity" as the strengthening of synapses apply only to neurons, because the astroglial network does not have synapses (astrocytes communicate by means of gap junctions). 
Neuron-astrocyte interactions is a new, integrative field in neuroscience. There are some models attempting to interpret this interacting system. Vera Maura has done a good job of understanding these complex interactions using the retina as a model of the whole brain.
I have built a model in which neurons execute cognitive operations (processing sensory signals, selective attention, memory, motor control), while the astroglial network instantiates feelings (all kinds of feelings - from basic sensations as hunger and thirst to perceptual 'qualia' as the feel of color, sound, taste, smell, also emotional feelings as joy and sadness and social feelings as love and hate).
In this model, neurons induce hydro-ionic waves in brain tissue, having the astroglial network as the master hub that propagates the small waves to the whole system and allow their interferences. For instance, when we are facing dangerous situations the amygdala triggers a wave of fear in brain/body tissue. The feeling of fear is not inside the amygdala, but in the living tissue, having astrocytes as the master hub that broadcasts it to the whole brain and body.
Constructive interferences in the astroglial network produce global waves that instantiate feelings; these waves feed back on the neurons and modulate their activity. The feedback of astrocytes on neurons is part of the neural plasticity phenomenon. According to the model, the wave of feeling reinforce the neuronal patterns that feel good, and depress the patterns that feel bad. There are several well known mechanisms that execute this modulation, for the details please read the paper below.
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For example, in olfactory neurons, EM has shown dendritic synapses between Mitral cells and Interneurons. But are there ways to detect such contacts using fluorescence microscopy? Are there any proteins unique to dendrodendritic synapses that may be molecular markers for IHC?
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Behnam, your questions is an interesting one. Of course, there are many ways of detecting dendro-dendritic synapses without use of EM, but these are typically not conclusive.
Fluorescence and Ca2+ imaging can be applied for detecting dendro-dendtiric connections. Immuno-staining with detection of the presence of PSD proteins at dendtiric spines is another approach. 
Check our perspective published in PNAS (Ovsepian and Dolly 2011), which discusses some relevant topics that might be of interest. Best, SV      
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Neurons are grown on coverslips in culture after some time they form connections and synapses (very basic networks). What kind of stimulator (digitimer) do i get to look at synaptically stimulated APs? I have used a voltage stimulator like the DS2 (digitimer) with a bipolar electrode in brain slice neurons, but I'm not sure if that's the best kind of stimulation for neurons in culture. Is current stimulator better or biphasic and what difference does it make? Also what kind of electrode would work better? Would a bipolar electrode fry my neuron cultures?
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Hi Dina,
I think it's most practical to stick with a bipolar stimulating electrode, not sure what other configurations you were considering - like a concentric (single-point) bipolar for example? The reason being that the synaptic connections are not going to be organized in such a way as they would be in brain slice - certainly not like in laminar structures like hippocampus or cerebellum. Actually for cultures, the bipolar electrodes can be much more widely spaced than ones typically used for brain slice. Essentially you can have the poles straddle both edges of the coverslip, if you wanted to maximize chance of stimulating inputs to the cell you're recording from.
As for the stimulator, I'm not sure if you're referring to the output (V vs I), but I've used ones that are easily switched from constant voltage output to constant current output - I typically use constant current output. Haven't tried constant voltage output when stimulating cultures, but I know in slices, both output modes produce effective stimulation.
Best,
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My understanding of direct vs indirect is that in the presence of TTX you can only measure activity at the synapse. However, I was discussing this with a colleague that thought it was only able to measure a postsynaptic effect. My thought is if you record in current clamp in the presence of TTX and apply a drug, if it releases a huge amount of neurotransmitter- such as glutamate- you could still get a depolarization of the post-synaptic membrane through the large influx of synaptic calcium. Is this wrong to believe? 
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Hi Brandon,
TTX is a sodium channel blocker and in neurons it blocks the production of action potentials, and thus its propagation too. It is possible, however, to record synaptic activity I the presence of TTX (e.g mEPSC). Following your example, you could just add KCl to your bath solution and that would depolarize the cell, if the depolarization is big enough that you activate CaV1.2 in the presinaptic terminal, the influx of calcium could produce the release of neurotransmitter which would produce postsynaptic depolarization, however that would not trigger an action potential since the sodium channels responsible for the initiation of the action potentials would be blocked. The KCl treatment could in itself also depolarize the postsynaptic terminal and that could lead to calcium entry. In some cells, such as pituitary secretory cells, action potentials are not sodium driven but calcium driven so in that situation the effects of TTX would be totally different.
Hope this helps,
Ezequiel
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I am looking for a way to study the function of synapses on neurons in culture without having to do e.phys.
Calcium imaging, e.g. FLIPR?
Thanks!
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Nicola, there are a number of ways in which you can gain good functional insight into synapse properties without using electrophysiology. As you suggest in your question, fluorescence imaging would be the way to go about this. I personally would prefer using optical methods to electrophysiology when monitoring synapse function. I suppose your are not yet set on what exactly you would like to monitor, so I will just provide a few general ideas.
 In cell culture the use of a good wide-field epifluorescence system, or a (spinning disk) confocal will allow large numbers of cells and synapses to be assessed in a relatively short time frame. There are numerous probes available, that provide access to different synaptic properties -- it is simply a matter of selecting which parameters you need or would would like to quantify:
Fusion proteins targeting pH-sensitive GFP-variants to the inside of synaptic vesicles can be used to monitor fusion events. Such probes are dim in the acidic environment of the vesicle, but light up once exposed to the neutral pH of the extracellular space, thus lighting up on vesicle fusion. SypHy or Synapto-pHlorin and it's variants are the most commonly used probes for this.
Calcium indicators can be used to monitor both pre- and postsynaptic calcium influx. Loading cells with AM-esters of small molecule calcium indicators such as Fluo-4 or Fura-2 is one option. But a number of genetically encoded probes are also available. GCaMP6f (the fast variant is better suited for imaging synaptic events) is the most commonly used probe for this. Fusing GCaMP to Synaptophysin results in the indicator only being present in the presynaptic boutons, increasing the signal to noise of the measurements and allowing for clearer interpretation of the acquired signals (SyGCaMP, Lagnado lab). In addition, red genetically encoded calcium indicators are also available, such as R-CaMP2 (from the Bito lab) which should make it possible to image pre- and postsynaptic activity at the same time.
It is also possible to image the release of neurotransmitters. Glutamate indicators, such as iGluSnFR (Looger lab at Janelia) are the tools used for this. These signals have a much higher temporal resolution than imaging pH or calcium transients, which might make them a better match for your experiments.
Using fusion proteins it is also possible to monitor changes in receptor numbers at a given synapse. This can be achieved by assessing brightness changes (careful controls are needed here) or ratioing brightness of different color proteins fused to different proteins. For example, AMPA-receptor internalization can be monitored by fusing a pH-sensitive GFP-variant to the extracellular part of the receptor, leading to a decrease in fluorescence on internalization, similar to the Synapto-pHlorin approach mentioned above.
To get deeper into the biophysics, fluorescence recovery after photobleaching (FRAP) could be used to monitor vesicle or protein mobility within a synapse. A bit over the top, cellular fluorescence correlation spectroscopy (FCS, see the work of Petra Schwille among others) can be used to monitor the concentration and diffusion rates of synaptic proteins.
I hope I have been able to provide you with a few useful pointers, while not going into too much detail. As you can see, the sky (or your imagination) is the limit.
Good luck with your experiments!
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I am developing a computational model of CA1, and I need to incorporate this parameter in the model. It has been surprisingly difficult to find within the literature. Thanks for the help!
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de Almeida et al. 2009 http://www.jneurosci.org/content/29/23/7497.full is a modeling paper that deals with that question and may have some good references.  
Have you checked out Hippocampal Microcircuits: A Computational Modeler's Resource Book http://www.springer.com/us/book/9781441909954?  If you can't afford it, a certain online LIBrary GENerously (.io) provides it.  
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Hi everyone,
I'm trying to induce chemical LTD at the CA3-CA1 hippocampal synapse using DHPG 100 uM as reported in literature but at the moment i'm not able to induce a stable LTD after 10 minutes of DHPG perfusion. I'm working on mice and i'm using 45 days old animals and i use 400 um brain slices for my experiments. When i applied DHPG i saw a reduction in the response but after about 20 minutes this reduction disappears and the response goes back at the control level (so the LTD is not induced). Do you have any suggestion or advice to have a stable DHPG induced LTD?
Thanks so much
Luca
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Luca,
To answer your questions: (1) We use S-DHPG and (2) we use male, C57BL/6J mice between 6-10 weeks old and still see around 60% depression with 50uM DHPG. I agree with Haider though, with a low N it's hard to make any conclusions as to whether or not you get LTD. How many slices have you tried now with not LTD?
Slicing/recording conditions could make a big difference. We use coronal sections, recording from the dorsal hippocampus using a submerged chamber. The ACSF is perfused at 2mL/min at 30-31 degrees Celsius. What are the conditions that you are using? Are you sure you are stimulating the Schaffer collaterals and recording in the stratum radiatum of CA1? Whenever we do not see DHPG-LTD it is normally because the stimulating and recording electrodes are improperly positioned.
Best,
James
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Dear Community,
this is about Action Potential transduction speed over a Neuron!
Reaching a Neuron, an AP will first go through the dendrites, then reach the cell-body. Afterwards, it will go over to the Axon, then find a Synapse to give the AP to the next Neuron.
I need speed-estimates of every single one.
I found some estimates for conduction velocity to be about 1m/s for unmyelinated Axons.
The transduction over dendrites and cell-body might be in the same range!?
 The transduction over a synapse is fast, but I am interested in a cell-cluster, so I have about 10 Synapses.
It would help us a lot!
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"Reaching a Neuron, an AP will first go through the dendrites, then reach the cell-body. Afterwards, it will go over to the Axon, then find a Synapse to give the AP to the next Neuron."
This is not at all how action potential firing unfolds.
Graded postsynaptic potentials will travel from the synapses down the dendrites and integrate at the soma (and in the dendrites). If the sum of these reach a certain voltage threshold at the axon initial segment (located close to the soma), an all-or-nothing AP will propagate out the axon from here. The AP will also back-propagate through the dendritic three.
As Nikolaos correctly writes above, the AP does not cross the synaptic cleft, instead here the signal is neurotransmitters that diffuse the short distance to the postsynapse, where they give rise to graded potentials, and so forth.
As for your model, each neuron commonly have thousands of synapses, so you probably have to describe better what you mean by a cell-cluster with 10 synapses.
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I wish to investigate activity independent measures of glutamate release at CA1-CA3 synapses in acute hippocampal slices.  I was wondering what is the standard concenteration of TTX people use for hippocampal slices. Thanks.
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Hi Anant,
a common TTX concentration used in many papers for mEPSC is 1 micromolar; however since TTX is not cheap I use it at 500 nM in my recordings and it always works. Just to make sure, after the first recording of the day I always perform a current injection protocol to confirm that the aliquot used in that particular day worked. I have seen a handful of papers using slightly lower concentrations but 500 nM is what I am comfortable with.
Hope this helps,
Ezequiel
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In our scenario, we let an Axon grow in Vitro over a distance of 500µm before it will find Dendrites to connect to.
How many Synapses are formed by that Axon when coming in contact with those Dendrites?
  • The elapsed time will be 7 Days
  •  The Cells are embryonic Hippocampal cells from Rats
A second Question would be related: What would be the spatial spreading of the most distant Synapses?
I need to know this to solve a problem we have when connecting single Neurons to Clusters.
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For a niche set up like this probably best to test it yourself? eg. dye filling your 'presynaptic' cell and post hoc staining for postsynaptic proteins, eg PSD95, then count the number of juxtaposed contact points? 
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My dissertation is based on an interdisciplinary analogy on communication in diverse species. I am wondering if an expert would like to work with me on cancer cell communication?
Thanks
Ruben
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Jacques, Humberto,
A few things... First, interdisciplinary terms have, since 2007, been the subject of study by MIT. However, I have changed the question to keep traditional understanding intact. Second, no respectable student will ask someone else to work on his thesis. It is actually illegal. Third, the objective here is to co-write an article which can answer (or at least generate) questions related to creativity in communication in microorganisms. I would prefer to stick to cancer cells.
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Hi guys,
I'm a little bit in trouble with LTP on CA1. I performed some experiments inducing LTP after HFS (1 for 100 stimuli at 250Hz). This protocol is able to induce a strong potentiation of the synapse. My problem is that the potentiation after the induction is not stable and the response continues to increase without reaching a plateau. What do you think the problem is? I recorded extracellularly fEPSPs from hippocampal brain slices (400uM thickness; flow rate of about 2 mL/minute).
Thanks in advance for your advices.
Luca
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Under the microscope how does your slices look, bright and shiny with nice cell line?
In the CA1, if the GABAergic tone is damaged, you do get epileptic EPSPs that look spikey (increased amplitude or slope and could explain what you observed) and the EPSP duration is also increased. In normal condition,  following HFS your EPSP should increase. Do you have any traces recorded in these slices? One stupid question have you checked your temperature probe (battery)?  Don`t put picro or bicculine it will make your EPSP epileptic, not in the CA1. It works in the dentate but not in the CA1   
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I am investigating the roles of PKA and CaMKII following synaptic potentiation. Is there a way in acute slices in rats where I can image their phosphorylation activity with a single/few synapse resolution?  
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Hello,
When PKA is activated, the regulatory domain (C subunit) split from the main enzyme.  You can simply measure the mass of the C subunit in your system.There are antibodies against this subunit.  You can do either histochemistry, ELISA, Western blottong,
Cheers
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I placed DiI crystals into the hilus of P10 mice horizontal sections (vibratome). I think the first image is from the CA3 region, and I can't tell if these are dendrites/axons or background, whereas the second image clearly has spines and does not belong near the CA3 region but is somewhere else in the cortex (can't tell right now where).
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Dear Tatyana,
I cannot tell what image No. 1 is. Try imaging at lower magnification first and identify the region at the cellular level (layer), and then zoom in. I assume you are trying to image spines. The second image is highly likely a dendrite with some spines. Also follow Christian Werner´s suggestion: counterstaining with dendritic/axonal markers. remember that diI is simply a good membrane labeling probe...
Best wishes
Francisco
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I would appreciate feedback (and protocols) on whether or not it is feasible to establish functional synapses between motor neuron and skeletal muscle cell lines.
Thank you!
P.
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Pablo, I am curious whether you tried this as this is something I would like to try. 
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Dear all,
We know that each reflex involves a time delay between the stimulus and the reaction. This time delay is called reflex latency and It consists of three components:
  1. time of afferent conduction (Ta),
  2. central delay (Tc)
  3. time of efferent conduction (Te).
I want to model the reflex latency of the stretch and miotatic reflexes in human upper limb (In particular,  I'm interested in biceps, triceps and brachialis muscles).
In your opinion which are the best values for Ta , Tc and Te?
After reading different papers and books, my ideas is that good values could be:
Ta= 10 msec;
Te= 10 msec;
Tc= 0.5 msec if we hypothesize that the motoneuron has just one synapse.
So, the stretch reflex latency is equal to 20.5 msec and the golgi tendon reflex latency is equal to 21 msec
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Dear Antonio,
I dont know any specific references, but I would recommend you to check work from Simon Gandevia from UNSW, Sydney Australia. He and his collegues have 100s of electrophysiological studies in humans. If you go through their papers you may find alot of usuful information.
Best wishes,
Refik