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Hi,
I have extensive 2D and 3D spheroid cell culture experience and I am considering a multi-cellular culture whereby I layer cell types on top of each other, for example stromal fibroblasts followed by epithelial cells.
Is it as simple as timing the addition of the second layer (the top) of cells addition so that both layers become confluent at a similar time, providing I use the correct mix of media and supplements for both cell types?
Or is there a little more to it such as an ECM coating of say fibronectin to stick the second layer to the first layer?
Many Thanks,
Ethan
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If you don't want to use robot -printed matrices or microfluidics, the old fashioned way is to seed the fibroblasts in a collagen coating , then plate the epithelial cells onto the collagen. An example:
If you are interested in diffusible factor effects, cells can be seeded on opposite sides of cell culture inserts.
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Hello,
I am currently looking for an easy way to track teacher displacements in a classroom. I know you can do it with cameras and triangulation but what about new technologies? Would it be possible to do it with only a smartphone?
Thanks in advance for your time
ECM
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If the teacher were wearing an Apple Watch, then a paired iPhone will store a variety of data, including location, steps, step length, walking speed, heart rate, etc. May not be exactly what you need, but it would provide clean data.
Good luck.
Don P. (not an Apple employee, lol)
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I'm wondering about media usage in iPSC culture. Most papers/protocols work with mTESR1, but for me it seems that PluriSTEM needs less media change and no overweekend change.
Does anyone use PluriSTEM with matrigel/ECM and has good results?
and btw: Does EDTA-solution or EDTA-based solution (like Versene) for cell passaging also work on matrigel/ECM?
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Hi,
in our lab we use mTESR1 only for very sensitive cell lines. Otherwise we use iPS Brew, which works really well and is cheaper. I even feed only every second day with that and my cells are happy. This should be tested for each cell line though.
For passaging we use 0.5mM EDTA, like mentioned before.
Good luck with your cell culture!
Selene
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I follow this guide to plot CUSUM after ARDL:
But i read some journal article that ECM model is to be plotted. Can i know is it different to plot ARDL model itself or the ECM version? Which should we plot?
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Both will have same answer
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Cardiac tissue ECM showing more stiff nature in comparison to other tissue, it isn't solubilize easily. Is there any way to solubilize it. I have tried Pepsin/ HCl solution for digestion but it isn't working.
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Did you also have a problem? Are your
problems solved?
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Hi, I want to quantify the amount of collagen(s) that got secreted outside of cells to ECM through Western Blotting the media, however I'm not sure which housekeeping gene I can use in order to normalize my data. Any ideas?
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Hi Denis,
To do so, we usually stain the PVDF/Nitrocellulose membrane post-transfer and before blocking with Ponceau Red solution. This is quite convenient as you can just wash it with TBS-T. After that, you can follow your normal WB procedure (blocking, washing, 1ary AB incubation, ...).
Some people are also using a highly diluted coomassie/brilliant blue staining solution the same way, but I'm not recommending it as it will be hard to completly remove it using TBS-T.
Hope this was helpful and good luck!
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Energy Conservation Measure (ECM) analysis is a process that involves identifying and evaluating potential opportunities for reducing energy consumption in a building or facility. The objective of ECM analysis is to identify cost-effective solutions for reducing energy consumption, improving energy efficiency, and reducing greenhouse gas emissions.
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There are several analysis tools and software available that can be useful for performing energy conservation measure (ECM) analysis. Here are some of the most commonly used ones:
  1. Energy modeling software: Energy modeling software such as EnergyPlus, eQUEST, and DesignBuilder are commonly used for building energy simulations. These software tools allow you to model the energy performance of a building under various scenarios, including the impact of different ECMs.
  2. Data analytics software: Data analytics software such as Tableau, Microsoft Power BI, and SAS can be useful for analyzing energy data and identifying patterns and trends in energy consumption. This information can then be used to identify potential ECMs.
  3. Measurement and verification (M&V) software: M&V software such as eSight, EnergyCAP, and UtilityModule can be used to track and monitor energy consumption over time. This information can be used to evaluate the effectiveness of ECMs and identify areas for further improvement.
  4. Energy audit software: Energy audit software such as RETScreen, Energy Audit Tool (EAT), and Energy Grader can be useful for identifying potential energy savings opportunities in buildings and facilities. These software tools provide a systematic approach to energy audits and help identify low-cost and no-cost ECMs.
  5. Financial analysis software: Financial analysis software such as RETScreen, HOMER Energy, and LBNL's Cost Effectiveness Tool can be used to evaluate the economic feasibility of ECMs. These software tools can help determine the payback period, internal rate of return, and net present value of different ECMs.
The choice of which analysis tool or software to use depends on the specific needs and requirements of the ECM analysis. It's recommended to consult with an experienced energy professional to determine the most appropriate tools and methods for your specific project.
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Hi scientific community!
I was hoping to get some input on a problem I am currently having deciding how to fix my samples for AFM. I am using AFM to detect stiffness of the ECM in fibrotic areas, and have the option to leave my samples unfixed (we have tested that this works), or go for PFA, NBF or a solvent method like methanol.
Since we know methanol will dehydrate the ECM and PFA or NBF will cross-link it, we were intending to go straight for measuring the unfixed tissue, since this would be most "correct". However, whilst the main structural proteins like collagen will be fine for the time period of the AFM experiment if kept cool, it has come to my attention that other smaller, less stable ECM proteins could degrade if unfixed, which could affect the integrity of the fibrosis and therefore the resulting stiffness measurement.
Most previous literature either uses unfixed tissue or PFA.
What seems the best method to you - to fix the ECM, or to go ahead unfixed?
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Why not do the experiment? Measure a fresh tissue, fix it (PFA), measure again.
But to answer your question: The closer you are to the living state the better, scanning in buffer would be the best. The ECM is fairly robust in comparison to other structures, I would assume that unfixed will give you the most accurate stiffness measurements. Once you aldehyde-fix biology a lot of unpredictable things happen (tissues turn brittle, proteins are crosslinked but nothing else), and solvents are even worse because a lot of material gets extracted. Also keep in mind that NBF contains methanol. And all these parameters vary depending on which tissue you're looking at. You'll have to do the experiment! ;)
For general structural preservation PFA>NBF>solvents
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We have performed an experiment where the recombinant protein was allowed to bind to the ECM.
The ECM components was kept at a fixed concentration thereby variation with the antigen concentration was applied.
I want to find the dissociation constant for the protein.
anyone knowing please help me out..
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There are many ways that can potentially be used - isothermal titration calorimetry and surface plasmon resonance are the two that immediately come to mind.
Without knowing more details of your experiment though (is it a protein:protein or a protein:ligand interaction?) it will be difficult for people to give informantive guidance to you.
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Does anyone know about a chemical or drug, whatever that increases basement membrane stiffness ectopically? In particular, I would like to culture a tissue ex vivo and follow tissue dynamics after stiffness alteration (something contrary to Collagenase treatment).
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Hi Ellen,
Thank you for this helpful answer. Not absolutley sure if this will allow me to study the cell behaviour underneath the matrix without harm them. But I will try.
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Hi!
I am looking for a summary/review of overall different integrin isoforms' affinity to different ECM ligand isoforms。 eg. integrin a7b1 has high affinity to Laminin a2, while a3b1 and a6b1 has high affinity to Laminin a5. Not just laminin but also different collagen. I have came across some papers but there should have been some previously done review.
Thank you!
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The following is the review article which you may be interested in.
Best.
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We use ECM to predict Dutch yearly traffic kilometers. For year 2020, the covid-policies impact the traffic performance a lot. We need to use data from 1983-2020 to obtain coefficients of independent variables, such as GDP, population, oil price...to estimate traffic kilometers for year 2021 to 2025. Therefore we add a dummy variable to present the covid-policies for year 2020. The question is: should the dummy for both short and long terms or only for short term?
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Hello Amelia Huang ! I'm interested in your question that unfurtunately did not receive an answer. I'm doing a similar research and I wondered if I had to add the dummy variable for a year that is an outlier for the step 2 ECM (the equation in differences) also in the cointegrating long run equation in levels. May I ask you how did you fix it in your research?
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Association of ECM with cardiac fibrosis
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Cardiac fibrosis is associated with ECM disruption. MMPs ( metalloproteases ) play a major role in C-ECM remodeling. C-ECM remodeling is mainly controlled by matrix MMPs belonging to a large family of zinc-dependent peptides that degrade almost all C-ECM components in both physiological and pathological conditions. TGFb/Smad can trigger cardiac fibrosis and increase IL-6 levels. If you wanna study cardiac fibrosis you can induce cardiac fibrosis by Angiotensin II infusion. You can also observe a decrease in alpha SMA and collagen 2 and 3. Another really helpful tool for studying cardiac fibrosis and C-ECM remodeling are the collagen hybridizing peptides. I hope you find this helpful!!!
For more information about inducing cardiac fibrosis and studying C-ECM, you may refer to the papers attached below.
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Hi everyone,
I am running ARDL equations for the connection between imports (dependent variable), domestic growth and the real exchange rate (explaining variables) of several countries. Now, to test for cointegration, ARDL requires the bounds test. However, I am asking myself if the following is possible: run the ARDL, then run it in its ECM form. If the error correction coefficient is significantly negative (between -1 and 0), we get confirmation that the ARDL is cointegrated and fine. Hence, it would not be a test for cointegration before running any regression but running the ECM to test for cointegration. Is this valid?
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Thanks for these links!
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Dear all,
I am working on EMT-invasion of cancer cells. I have observed changes in the expression level of ECM-associated genes. Upon submission of a manuscript, one reviewer suggested: " to investigate possible changes to the organization of cell-culture ECM and its ability to support cell migration or invasion".
Can anyone help me to understand this comment? How exactly (specific experiments) can we proceed? What is it that the reviewers want?
Thanks in advance,
Swarnali
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It's only one.
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I am working on reprogramming fibroblasts to neural stem cells. After the NSCs induction, I am feeling it difficult to detach the cells from the surface. Even after incubating to 0.25% trypsin/Accutase for around 10 mins, the cells are not lifting off the surface. Only ~50% of the cells can be harvested and toxicity is seen because of the exposure time to the enzymes. I have also tried tapping the dish but it's not working. I can see some fibre-like structure around the cells which I think is ECM and that is inhibiting trypsin activity.
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Hi Shravani! Thanks for your suggestion. Yes, I am washing the cells twice with PBS. I also read that for cells releasing high ECM, it is recommended to incubate in PBS for 10-15 mins before trypsinisation. I am yet to try that.
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I'm currently working on decellularizing ECM produced by fibroblasts to be used as base for cancer cells culture. The problem is that even with the gentlest wash the dECM still comes off the surface easily and result in a solution containing broken dECM. I'm thinking that for the purpose of my research I can also centrifuge the solution, collect that broken dECM and embed it into hydrogel for use. Does anyone has similar experience and know if it's feasible and if so what would be a good centrifuge setting to use? Or if you have better tips on how to make dECM stay more firmly on a well plate surface you're welcomed! Thanks
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The trick with removing cells whilst retaining an intact ECM is to do every step extremely carefully. Always pipette in and out at the same position against the side of the culture dish and one drop at a time. It takes forever but it worked for me. Also, how long are you allowing the fibroblasts to produce the ECM? I remember seeing in the literature people generally waited 10-12 days but I got much better results when I waited for about 21 days (my aim was also to culture cancer cells on the ECM).
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tapping mode tips are too stiff to measure extracellular matrix roughness. I am looking to find the right cantilever type with a stiffness (k-value) that is able to do so in solution.
Thank you in advance
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For ExtraCellular Matrix samples I would use PeakForce QNM (Hybride Mode or similar) with contact mode cantilever (e.g. soft Ultra-Short Cantilevers from Nanoworld are good candidates)
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I am using an ARDL model however I am having some difficulties interpreting the results. I found out that there is a cointegration in the long run. I provided pictures below.
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Mr a. D.
The ECT(-1)os always the lagged value of your dependent variable.
Regards
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Hi all,
I am looking for an antibody to stain human kidney ECM Collagen III with IHC-P. I have tried using abcam's ab7778 unsuccessfully, and it is difficult to find other antibodies in the literature for this. Does anyone have any recommendations?
Thanks!
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Hi Lucia Marinas del Rey, in my experience of IHC the usual culprit is generally the antibody, antigen retrieval, incubation periods, or antigen degradation due to over processing. Since the antibody you selected has some pretty good reviews, I would recommend trying out different antigen retrieval times and methods. Heat mediated antigen retrieval generally works the best in my experience, but enzymatic could be another option. Increasing the antibody incubation period may also help if you haven't tried that yet. If you can provide a bit more info on what is unsuccessful about your staining (e.g., no stain, non-specific staining, etc.) I may be able to help more. Don't give up, IHC is a pain!
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I want to quantify the collagen content containing intracellularly and that secreted outside the cells within the ECM. To do that, I am looking for a validated protocol to separate the two fractions without altering the integrity of the cells and the tissue. Most of protocols talk about decellularization step. Is there any other efficient technique that can be useful to separate cells from ECM fraction in order to quantify the collagen content within two fractions separately ?
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Dear Anna,
If you use tissue culture, in the first step you collect cells by solution and in the second step you collect ECM by screw.
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Hi community,
we isolate decellularized ECM from various organs and produce hydrogels of these. I am looking for protocols to label ECM or ECM hydrogels with fluorophores, biotin, digoxigenin or otherwise in order to monitor e.g. degradation / turnover in time. What would be advisable?
Many thanks,
Martin Harmsen
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During degradation, the covalent bonds of the ECM protein are broken. However, the properties of a hydrogel are very dependent on the state of the water in it. You can change the state of water by adding inorganic salt, temperature. Even adding a fluorophore will change her condition. The state of the hydrogel is controlled by the energies of thermal kT and quantum fluctuations ħω.
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I thought its because of the many sulfat groups which they contain ?
So they are negativly charged in some way ?
Please correct me if im wrong.
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Hello Max Knier
Yes, you are right. Glycosaminoglycans (GAGs) are highly negatively charged because of sulfate or carboxyl groups on most of their sugars. Their highly negative charge attracts osmotically active cations like sodium ions, which causes large amounts of water to be incorporated into the matrix. This results in porous hydrated gels and is responsible for the turgor that enables the matrix to withstand compressive force.
Best.
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In my model, I had four I(1) variables and after running JJ test, I got the result that there are 3 co-integration equation.
Now, I want to run ECM Model, but I am not sure what to put in the Co-integration rank?
Please help
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Dear Puneet.
Why not consider using ARDL as recommended @Mwoya Byaro.
Regards
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If the pore size/porosity of human skin ECM (decellularization) is around (68.3 ± 5.8)% (Wang et al., 2015), there are other results as well.
Does an artificial skin graft need a similar porosity or higher? I personally think higher porosity is the logical approach since a much more needed space for cell and ECM (collagen, elastin, etc.) growth compared to ECM (only cell grows and a bit of ECM maybe)>
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يحتاج الى مختص في مجال الجلدية
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I found different ways in estimating long-run and short-run when processing time series data through ARDL-ECM method in Eviews 10.
Someone use OLS method to estimasi long-run and short run, however, others directly use output ARDL for long run, and ECM for short run.
In your opinion, which one between these two method shoud I use, and why?
Thank you
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I recommand to see first the intergration order of your series. I(0), (1) I(2). Usually a mix of I(0) I(1) implies the usage of ARDL. I suggest also to see model with time varying parameters. One can see this :
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I want to solubilize decellularized ECM particles in order to get a homogeneous solution.
As I have seen in the literature, a common way to digest dECM is using pepsin/HCl. To do so, I used Hcl 0.01 M and 10 mg/mL dECM in 1 mg/mL pepsin at 25 C . once again the Hcl, dECM and pepsin respectively in proportion1,5,2(0.2 ml, 1mg, 0.4mg) were used (at 37 C).But I didn't get the desired result and the particles of the matter remain insoluble.
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The pH was 2, but I will be more careful about washing in the new series. Thank you very much for your tips.
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Hi everyone
I would like to analyse decellularized ECM for an experiment, however, so far I have not been able to successfully remove the cells while keeping the ECM attached to a 96-well plate.
Protocol: Cancer cell lines were cultivated for three weeks in a polystyrene TC treated 96-well plate, coated with 0.2% gelatin. For the cell lysis, I have used two different buffers either containing 1% Triton-X-100 or 1% NP-40 detergent. I have changed several parameters for the lysis step: temperature (4°C, room temperature or 37°C), time (15 minutes up to 1h or over night) and percentage of detergent (ranging from 0.1-1%), but the ECM always detached after this step. I also added all the solutions with a lot of care.
Does anyone have any experience with decellularization in a 96-well plate and somehow solved this problem? All inputs are greatly appreciated and thank you very much in advance for your help!
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Hi, you might be able to do it by cross-linking the ECM to the bottom of wells using cross-linking agents like glutaraldehyde.
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I am trying to calculate an ECM with panel data and thereby I have the following problem. I run the ecm command from the ecm package an error occurs saying “non-numeric matrix extent “. I found out that the reason is the creation of the panel data. I tried two different approaches to fix the problem.
At first I created the panel dataset with the pdata.frame command from the plm package.
p.dfA <- pdata.frame(data, index = c("id", "t"))
where “index” indicates the individual and time indexes for the panel dataset. The command converts the id and t variables into factor variables which later leads to the error in the ecm command.
Secondly, I created the panel dataset with the panel_data command from the panelr package.
p.dfB <- panel_data(data, id = "id", wave = "t")
where “id” is the name of the column (unquoted) that identifies participants/entities. A new column will be created called id, overwriting any column that already has that name. “wave” is the name of the column (unquoted) that identifies waves or periods. A new column will be created called wave, overwriting any column that already has that name.
This panel_data command also converts the id variable into a factor variable. So, the same error occurs in the ecm command.
If I transfer the factor variables back into numeric variables, I lose the panel structure of the dataset.
Could someone please explain to me how to run an ECM with panel data in R?
Thank you very much in advance!
Sample R Script attached
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In solubilization of decellular ECM process, after dissolving the decellular powder in pepsin and then adjusting its pH and lyophilizing the scaffold, as soon as the scaffold is placed in the crosslink solution, does the scaffold disintegrate?
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Thank you I really appreciate your help.
I used skeletal muscle tissue for decellularization.
The tissue/pepsin is 10 to 1 in most articles
Is it necessary to reduce the incubation time by increasing the concentration of pepsin?
thanks@
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Dear Colleagues,
I ran an Error Correction Model, obtaining the results depicted below. The model comes from the literature, where Dutch disease effects were tested in the case of Russia. My dependent variable was the real effective exchange rate, while oil prices (OIL_Prices), terms of trade (TOT), public deficit (GOV), industrial productivity (PR) were independent variables. My main concern is that only the Error Correction Term, the dummy variable, and the intercept are statistically significant. Moreover, residuals are not normally distributed, while also the residuals are heteroscedasdic. There is no serial correlation issue according to the LM test. How can I improve my findings? Thank you beforehand.
Best
Ibrahim
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I notice the following about your specification. (1) Your inclusion of a constant (and its subsequent significance) means you allow for (and find) a trend in the real exchange rate independent of any trends in the other variables. Is that economically reasonable? (2) I assume the CRISIS variable is a zero-one dummy for time periods with a "crisis" of some sort. Apparently it is not in the cointegration vector. Why not? If it were, then I'd expect to find CRISIS differences in the error correction equation. Instead, you have it in levels. Thus you specify that a temporary crisis has a permanent effect of the level of the real exchange rate independent of the other variables. Is that what you intend? (3) You do not include the lagged difference of the real exchange rate in the error correction equation. Why not? Normally it would be there.
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Hi, I am trying to run WB on human brain samples to detect ECM in particular collagen IV and laminins.
I have an extraction protocol and I'm doing the WB using an Iblot machine.
I am using 2 different antibodies but get not bands at all ...
the ladder is visible so I think the transfer is working.
Thanks, in advance for your help
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Do not trust to ladder only. Apply ponceau S staining and first see your protein of interest at membrane after transfer thereby primarily validate your extraction and transfer method. Afterward freshly prepare and adjust well the concentrations conveniently of your primary and secondary antibody buffers. Validate your loading concentration and imaging method by using a housekeeping protein if possible.
Emir
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What are the equivalent cases of cointegration trend spec. (restricted constant, constant, and restricted trend) in an panel ARDL PMG ECM setting?
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Hi,
I am doing a sonication study to dissolve Extracellular matrix proteins in PBS to induce gelation. I came up with a strategy to reduce heat produced by sonication and cavitation affecting proteins but I was wondering if anyone knows if cavitation itself can lead to ECM protein denaturation. Besides, ultrasonic frequencies (20kHz) can neither damage ECM proteins right?
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Dear Gabriela Sanchez,
Please see the link below.
With my best regards
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Hi,
I'm doing sonications on Ecm with PBS for 1 minute and the temperatures go up to 50 degrees. However the sample cools down in ice for one minute and goes back to 15 degrees. Is this detrimental for my ecm proteins? What temperature is bad for the ecm?
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Denaturation temperatures vary for different proteins. Generally, temperatures above 41 degree C will break the interactions in many proteins and denature them. For ECM proteins temperatures above 55 degree C will cause denaturation of proteins. The degree of damage also depends upon the duration of exposure to high temperatures.
Heat denaturation of proteins is usually irreversible at temperatures higher than 80 degree C because under these conditions proteins generally aggregate after heat denaturation.
So, I suggest you break your sonication time into smaller time intervals meaning instead of 1 min you can perform sonication for 20 secs each (3 times). While sonicating place the sample on ice and after each sonication give a break for a few secs with the sample on ice. Then again perform sonication for 20 secs and continue this cycle. This will help control the temperature and prevent protein degradation.
I hope this is helpful.
Good Luck.
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Hi,
As part of my research I am trying to achieve non enzymatic gelation of ECM hydrogels by using sonication with a probe. I have been doing some samples and they all become clumpy no matter what the time and power. Any tips or things to try? I use a 10mg/ml ecm concentration and PBS
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Why not trying with an high power Ultrasonic Sonicator bath?
BW.
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I am trying to fix MDA-MB-231 cells for confocal microscopy. The cells are seeded in PEG based scaffold using collagen based cell seeding matrix that acts as ECM. I will be imaging in hopes to find the shape of cell spheroid formed in the scaffold.
Number of cells seeded - 2 to 2.5 million
I need the fixed cells to survive transportation since I will be travelling to a different facility for confocal imaging. I need them to survive or retain morphology after fixing for atleast 24 hours.
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Hi Dr. Subia Bano I am using ultra-low attachment plates (Corning), I want to collect my spheres and want to fix them onto a glass slide for further ICC. Could you pl guide me for the same. Thanks in advance.
Best,
MJ
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My aim is to find out the significant relationship between FDI and its determinants. I am using bound test and error correction model.
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Since your objective is not to test for causal link between the variables, I think you can perform the ARDL without the causality test. The Granger causality does not necessarily address the cause-and-effect relationship between the variables however, it helps to determine if one variable can predict or forecast another variable.
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Hi! I want to mix stationary and non stationary panel data in an error correction and for cointegration. In a non-panel data setting, this is done with ARDL ECM, where a significant EC and long-run coefficient indicate cointegration, and where a bounds test can confirm this. Now, in a panel setting, is the corresponding ARDL ECM with PMG (Pesaran et al. 1998) valid? To test for cointegarion, I can use the Westerlund test in the depvar is non-stationary but indepvars are statioary, right?
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Hi my dear
The following link is very important for your problem
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Problem in ARDL "EViews".
After running the ARDL model, we did a bounds test to test for cointegration and we found that the variables are actually cointegrated at 10% significance level. Then, we ran an ECM (Error Correction Model) test to see the short run and long run coefficients but the problem is that some variables are dropped in the short run coefficients.
Knowing that our dependent variable is logWAGES and our independent variables are logFDI, secondary enrollment rate and unemployment rate and also a dummy was added taking value 1 at 2005.
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Normally when you are using some other tests like simple OLS, DOLS, FMOLS, or CCR, they show you only long-run relation. For finding the error correction term ECT you will need to run a separate error correction model, which uses differenced data with estimated lags. Here in ECM you will look for insignificant variables and delete them one by one, not all in one go. Once you start deleting the insignificant variable you might notice that the value of ECT is becoming negative and significant which is a good sign. Somehow keep deleting the insignificant variables until they left with few significant variables. why you need to delete the variables because it will make the residuals more perfect that u can check from residual graphs.
In my view, normally short-run effects are seldomly interpreted or rather in a case when the nature of variables is such that their values change on daily basis or weekly or monthly with greater impacts on the dependent variable.
In the case of ARDL normally the ECT is calculated automatically, if you have concerns that the most important variables are ignored in the short-run estimates, then try to change the lags of the dependent and independent variables and go through a trial and error process, you might come with better results.
Kindly cross-check your results of ARDL with FMOLS or CCR as well.
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The results of the ECM test and ARDL model are attached above.
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Malak Sherif Not yet
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When a variable enters the main (i.e. the unrestricted) ARDL at zero (0) lag, it subsequently fails to appear in the short-run error correction model (ECM). Thus, only those variables at 1 or more lags appear in the short-run ECM. I am yet to come across any theoretical or technical reason/explanation for this.
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I believe you are using Eviews. Please see the following Eviews forum since this seems to answer your question. It seems that Eviews display the short-run coefficient for the zero-lag variables in a specific way.
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Actually, I am looking for different terms and vocabularies of Engineering Change Management such as engineering change request (ECR), engineering change order (ECO), etc., that are available in both English and French. Thank you in advance. #ECM #PLM #BIM
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I don't know such a dictionary, but you can check the book "Conduire Le Changement - Feuille De Route En 8 Étapes" from John Kotter (available in French and English); It could give you some terms and french/english expressions about change management.
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Why sometimes the results of ECM are a little different from those of Breitung and Candelon’s (2006) spectral Granger causality?
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Thanks Guy.
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I am trying to dissolve decellularized ECM tissue, and have not succeeded.
Have tried ultrasonication, HCl, acetic acid, RIPA, none succesful so far.
Any adittional ideas?
would like to dissolve for assays, so do not want to use pepsin.
Thank you in advance
Raizel
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Dear Colleague,
As far as I can see, there is no single method for all the different decECMs. Depending on the species and the tissue type used or the anatomical localisation, the respective generated decECMs have different biochemical compositions. The degree of cross-linking of the different structural proteins can also be very different.
Best regards,
JS
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I am trying to estimate the long run relationship between fiscal policy an economic growth, what is the best way to deal with reverse causality besides finding an IV, in a time series approach (ARDL, ECM, VAR).
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For the long run, I don't know a well stablished method besides the usual ones (FMOLS, DOLS, GMM, IV). However, I think your question ties in the so-called "Wagner's law" literature. If you search for empirical papers on this topic, you will probably find something of your interest.
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As a researcher in the field of non-conventional machining processes, such as EDM, ECM, PeP, and the hybrid machining processes that can be derived from them, I would be interested in which of these processes you see as the best option for post-processing additive machining processes. It would be important that the advantages and disadvantages are shown.
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Interesting question. Hypothetically the best post process would be no post process!
WEDM is commonly used to remove parts from build plates in LPBF but I have seen an excellent patent which details synthesis of ceramics at the interface so even metals parts can be 'broken' away from the substrate.
As for the remaining surfaces - I see all of the examples you mention as being necessary in the same way that from a surface integrity and geometrical perspective LPBF parts are essentially equivalent to good quality castings. Therefore I think there is a challenge for designers to create components which take advantage of AM but are easily post processed.
We should also be mindful that for many materials (including the ones I work with) there will be a need for heat treatments to 'CTRL+ATL+DEL' the unfavourable microstructure from process. Syncing post processing with this is also an important consideration. Great question!
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I am interested in looking at possible alterations in ECM composition in a mutant mice while comparing the same with WT mice. Any recommendations on the best method that can give an overall compositional changes in the ECM is highly appraciated
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Hello Vinod
Methods to analyze ECM changes such as scanning electron microscopy, immunohistochemistry and zymography could be used.
Please refer to the research article below.
Best Wishes.
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Hey guys,
So at the moment I am growing my VSMC on collagen coated hydrogels and measuring the the mechanosensory effects produced by the hydrogels of varying stiffness. However, I thought it might also be interesting to see whether the ECM itself produced by the VSMC would be altered depending on the stiffness of the hydrogel its grown on. However, I am unaware of any such methods that have been published about. Any ideas on how to achieve this? Any input would be greatly appreciated! Many thanks :)
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It has been shown that hyperglycemia induces excessive ECM formation in muscle.
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I am currently trying to estimate the effect of energy crises on food prices. Given the link between energy and food prices, I am inclined to reason that ECM will be best to estimate the relationship between food price and energy price (fuel price). Additionally I would like to include dummy variables in the model to estimate the effects of periods of energy crises on food prices. This I know is simple to do.
Where am confused is, how to model price volatility in the context of an ECM. I am only interested in the direction where fuel price, as well as the structural dummies for energy crises influences not just the determination of food price, but their volatility as well.
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Hello. I hope you are doing well. It seems to me that in this case you can use NARDL midel to check the Asymmetric Impact of price volatility besides the ECM. moreover, to check the causal direction you can apply Toda Yamamato test.
Good luck
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Is the collagen a dipole merely because the peptide is a zwitterion, with NH4+ on N end and COO- on C end, or is it because of its (Gly-x-y)n amino-sequence? If it's related to it's amino-sequence and the triple helix, how is it related?
Is it just simply that the N end is the + end and the C end is the - end?
Is this dipole property only occurs when pH = isoelectric point ?
Thanks!
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Please look at the following below links which may help you in your analysis:
Thanks
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What are the Differents between "DecBM " and "ECM of a bone" and bone allograft?
Does bone allograft include "ECM" and "DecBM"? What are the differents between them?are their applications the same?
+DecBM:decellularize bone matrix
+ECM:extra cellular matrix
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I am planning on performing a western blot for Lysyl Oxidase (an extracellular matrix protein that is about 30 kD). I am looking to extract proteins from lung tissue and need a suggestion for a lysis buffer that can soluble my protein of interest (ECM proteins).
Thanks!
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follow and care
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Hi everyone,
I've been decellularizing 2D cell cultures for immunos and LC-MS/MS using 20 mM NH4OH. Basically, I incubate my cells with this solution for 5 min and keep the ECM that is attached to the dishes. For immunos is quite simple, as I basically fix it in PFA and it's ready to go. For LC-MS/MS I used an SDS-PAGE sample buffer and scratched the samples with it to recover as much as possible. For these assays, no problem at all.
Now I want to make hydrogels out of it and for that I need to solubilize them first. Here is where my problems start. I've tried incubating the plates with 2M urea buffer in a 0,15 M NaCl 0,05 M Tris HCl pH 7,4 buffer with 1% protease inhibitors at 4 ºC in the dark for 1h (scratching the plates before and after incubation) but haven't been able to get any protein when quantifying it (BCA, I've checked and this kit is compatible). Is there any tip/suggestion you could share with me? Is there something I'm doing wrong? Any help is deeply appreciated :)
Note: I'm now going to try and leave the samples at 4 ºC for 2 days to see if that helps.
Thanks a lot in advance!
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ECM is mainly sugars. I'm not sure how to make hydrogels out of them, but solubilising them will require breaking the long chain sugars (hyaluronic acid, chondroitin, etc.)
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I have an ARDL error correction model, in the CUSUM chart as far as I diagnosed there is a negative trend, moving means. Before that, I found that the explanatory variable and the dependent variable are not integrated to the same degree. I know I could not use ECM when there is no cointegration, I don't know is there any other model that gives more consistent results.
Could anyone offer a remedy?
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Well, Your CUSUM results indicate that the linear model is inappropriate to be estimated as this indicates some nonlinear behaviour. I would suggest the the use of nonliner model. I f you want to test for cointegration, use nonlinear cointegration analysis of Seo 2006 or even some new developed nonlinear cointegration analysis.
Regards,
Dr Katleho Makatjane
Business and Risk Analyst
Basetsana Consultants
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Healthy human tissues are composed of cellular and non-cellular components, termed the extracellular Matrix (ECM), which is the perfect natural microenvironment for all our cells (for millions of years).
Human ECM is composed of over 300 different proteins with different functions to cells, which are not all identified/characterized, however finally, the ECM orchestrates our tissue fate.
Human ECM proteins are identical in humans, where as NON-human ECM proteins may provide immune reactions in humans (as often observed in clinics). – Human ECM is also a clinical safety issue!
Human placenta is (1) a waste material, (2) available in consistent quantity and quality, (3) with a very dense blood vessel system, and (4) it provides many organ functions during the entire pregnancy– all in one...Human placenta tissues were used in medicine for a very long time...
However still, there are only limited numbers of publications/teams working with placenta ECM tissue for TERM. Is this a regulatory issue? A stem cell - hype issue? Other?
Generally, there would be sufficient human placenta tissues available for cost-effective and fully human TERM approaches in a way greater scales...
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Merci pour votre contribution! Exactement, c'est aussi un sujet très culturel, mais aussi les cultures changement avec le temps! Bonne chance!
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I am culturing primary epithelial cells and primary fibroblast in monolayer culture system. I found not only fibroblast, but also epithelial cells are expressing genes relative to ECM.
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Yes definitely, however the composition an differ with different cells
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EDM is Electric discharge machining and ECM is Electro chemical machining.
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But till now we believe that the operation of non conductive materials is difficult and gives inaccurate result for dimensions.
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i wan some biodegradability tests, for that i need ECM mimic solution for immersion. Can anyone please guide me ?
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Dear Muhammad,
(1) You can use simulated body fluid (SBF). SBF can be better as it is alternative soaking in calcium, phosphate and others.
(2) An another alternative method is to immerse the samples in saline or phosphate-buffered saline (PBS) solutions. PBS or phosphate-buffered saline is a buffer solution that is particularly valuable because it mimic the ion concentration, osmolarity, and pH of human body fluids. All in all, in life science or biomedical research, PBS is largely preferred while saline is more for medical usage or in fields that cares a bit more about the chemistry.
Ashish
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Normally we say, there is no tool-wear during Electro-Chemical Machining (ECM). Is it so? or is there any other possibilities of tool wear while ECMing?
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There is no tool wear in ECM if there is no short circuit during machining. If short circuit happens, the workpiece and electrode all may be damaged.
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I carried out ARDL bounds test which shows cointegration but my long run coefficient is insignificant. when i generate the ardl-ecm however, these are significant. what do i conclude on cointegration? should i interprete the ecm and or do i need to use another method?
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Conluding that all the LR coefficients to be insignificant is not a good idea. Instead, you may try including new variables or changing the length of observations. Of the results do not change, then you can present all your results and argue that there are no LR relation. I suggest following the p value for the RESET test. The higher the p value for RESET test, the lower the probability of omission of other variable(s).
Btw, have you checked your independent variables for multicollinearity?
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Hi, I ran unit root test and found that all variables are stationery at their levels. I then tested for co integration and it was confirmed. Then I ran ARDL and ECM models. The results were satisfactory and the ECM passed all the model diagnostic and residual tests. I read somewhere that there is no need for ECM if the series is stationery at level.
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Hello,
When the variables are integrated of order zero, Johansen cointegration test is applicable. After the long run relationship is ascertained, the next is to specify the VAR and VEC model.
Usually, researchers used ARDL and ECM for variables with different order.
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Hi,
I am working on a uni project and I am relatively new to econometrics.Basically I am looking for the relationship between stokc prices (lnSI), interest rate (lnIR) and ecxchange rate (lnER) over a period of time.
These are the steps I am following:
1. A simple correlation test
2. checking if they are stationary. They arent on level but the first differences are (so I(1))
3. Checking of they are cointegratted (with the Johansen test) They are cointegrated so I can procceed.
And I am a little bit stuck here. One of the papers suggests a two step ECM approach. Basically my model is: (delta) lnSI(t) = β(0) + (sum) β(1)*lnSI(t-l) + (sum) β(2) * lnIR (t-l) + β(3) * ECT(t-l)
same for lnER as well and then the other way around. I am working in stata the code I use is egranger lnSI lnIR,ecm. From the results if lnIR-LD. is significant then there is a short run effect if the _cons is significant then there is a long run effect.
Not sure if this is correct.
The other method people use in the literature is VECM I can run it on all 3 variables but I am havving difficultires to read the result. Which one is the long and short term effect of each bariable on lnSI? Also for short run I guess its the L1 values but that differes from the values on the ECM test.
Why one is correct?
Furthermore, I would like to run a impulse-response chart as well but I need a VAR for that. Can I run it on a VECM? if yes how?
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Hi Thomas Woodwork stationarity can be achieved through using first differences. Also, you can use some alternative data and indicators. I'm sure there are also other methods. Keep in mind, you should use original data when first differencing don't use natural log (ln).
You can take ln afterwards. But I would like to just remind you that exchange/interest rates are already rates so do not forget considering how would you interpret ln of rate.
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Hello dear friends!
I am looking for the long relationships between exchange rate fluctuations and balance of payments. I have time series data for the variables of the model. Variables are BOP, REER, Interest rate, M3, Openness, Log Real GDP, Log gov expenditures. All are stationary at 1st order, except interest rate and BOP which are I(0). Bound test shows there is cointegration. In stata, I run ECM to see long run relationship, the problem is that the shown magnitude of the coefficients are very large. I don't know what is the problem? Can anyone help me?
Or more specifically, am I right in running such model? Or I should change the estimation method? Thanks
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Look at the size of your dependent variable. I'm guessing it might be 6 or 7 digits in most countries, which would make coefficients in the thousands seem sensible.
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I want to use fibroblasts to synthesize ECM scaffold for wound care. Is it better to use embryonic fibroblasts or adult fibroblasts? And why?
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What species?
In general fetal (not embryonic) fibroblasts are preferable to adult fibroblasts as they should be able to tolerate more population doublings in culture. Murine pups at 12.5 to 13.5 dpc are ideal for fibroblast preps.
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I'm trying to study ElectroChemical Migration (ECM) on the surface of PBCs. Essentially a metal is oxidized at the anode, and migrates under a voltage to the cathode and forms a dendrite. The migration process occures in the aqueous monolayer under humid contitions (around 20 molecules thick). I am wondering if you can do CV under these conditions to study the kinetics of the reactions and/or measure the diffusion of the ions involved?
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Fabrizio Guzzetta I'll look into it.
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I'm estimating an ECM for panel data and I found X and Y are cointegrated (from various panel cointegration tests and the significant error correction coefficient in ECM). However, when estimating the long-run relationship between X and Y, the FMOLS, DOLS and the long-run coefficient in ECM were insignficant. Is there a possible reason for such results?
Thank you.
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What is the indication of the (adequate) unit root tests first?
Issues of heterogeneity and cross sectional dependence have to be considered initially and then to proceed to the adequate (new generation) cointegration tests.
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I'm trying to set up immunofluorescence of various ECM components, and I've tried an antibody against Heparan Sulfate Proteoglycan (HSPG) which didn't work, even after harsh antigen retrieval.
Also, general tips for ECM immunostaining in the brain would be helpful.
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Amsbio now supplies the Seikagaku Corporation 10E4, JM403, 3G10 epitopes. I use the 10E4 and it is absolutely fantastic for IF.
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Hi!,
I am currently working with integrins. I wonder that if there any differences in terms of the staining pattern of integrins, when you use no ECM coated coverslips and fibronectin-coated coverslips.
Thanks
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You will observe completely different staining patterns, depending upon the antibody you use and what method you use to persuade your cells (whatever these might be) to attach to a non-coated surface. Different cell types express and use different integrins, but all cells/integrins do require a ligand to act as the recognition and attachment target.
No coating > no ligand > no attachment > no integrin organisation!
What are your coverslips made form? Glass? Polystyrene? Thermanox? Charged/Non-charged?
What are you trying to demonstrate / observe?
Can't be more specific because you provide too little information.
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Hi,
Hope anyone with more experience than me are able to help me!
I´m using single equation modelling to find a model for the mortgage rate (endo) and the money market rate (weakly exo). I have found that both of the rates are I(0), and that the long-run relationship also is I(0) by using the Bounds-test in Stata. The bounds-test is done with out the dummies which I used to get a well specified ARDL.
I have to questions:
1. Do I have to use the same number of lags and dummies for both rates when re-parameterizing the ARDL to an ECM?
- When I use the same lags an dummies in both the ARDL and the ECM, the standard specification tests in PcGive does not give the same answer.
2. Do I need to use the same dummies in the ADF-test for the respective variables as I use in the ARDL and ECM?
/Mette Marit :)
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In the first case the answer is a resounding no. But your analysis may reflect the fact that x or y use more lags and the converse is tractable if you are convinved that it is not mis specified. Then you can compare both with theoretical models. The one with less lags is probably more tractable because it is structurally intuitive.
In the second case the answer typically is more lags in the ADF test as the ADF tet will recommend the number of lags based on the Augmented Dickey Fullerson results. Your answer should go with what is theoretically more tractable. Also the software implementation of the test in both R and stata is typically fully automated and you need not tweak any settings apart from understanding the output and impacts on your model, if any.
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I am trying to isolate a specific cell in the eye but I don't know how to digest the matrix components without lysing or destroying the cells. The matrix is primarily made of collagen, GAGs and proteoglycans.
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I grow cells on Silicon substrates as part of my research. However, i usually throw out the substrates afterwards. I was wondering if there is a way to clean them in order to re-use them, but without changing the micro and nano-scale topographies.
I tried alcohol or trypsin (which we use to remove cells) but it did not work (i can see that there is GFP signal after cleaning, and possibly lots of ECM proteins). I was wondering if there is a protocol you use.
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Hi Sara,
I think that the piranha solution is an effective way to clean silicon substrates and remove organic materials from the surface of the substrate. The solution is prepared by mixing sulfuric acid and hydrogen peroxide with 3:1 (v/v). Please put sulfuric acid in a beaker first. Then, put the silicon substrate in the piranha solution for 10 minutes, and rinse it for 30 minutes with distilled water.
Best,
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I would like to know if it's possible to enhance mechanically an ECM with PCL (knowing it's actually hydrophobic) without it forming an obvious biphase. Perhaps adhering electrospun nanofibers or using lyophilization.
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It's a particular ECM protein that I can detect in the media well enough, especially if I concentrate the media samples. However, analyzing the concentration is more difficult due to the fact that I couldn't build the standard curve and therefore measure protein levels in the media using coomassie. Do you have recommendations for other ways to ensure equal loading of protein in samples?
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Thanks a lot, Engelbert Buxbaum
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I need a straight protocol to study deposited ECM in cultured cells upon stimuli with selected molecules
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Hi Alberto!
Maybe this paper can help you with methodology and for reference:
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The usual ECM suspects tend to be the larger companies (OpenText, Microsoft, IBM, EMC, Alfresxo, Hyland, Nuxeo etc)
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