Science topics: Animal ScienceSelection
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Selection - Science topic
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Questions related to Selection
I infected the cell lines H1437, H2073 and H2228 with a lentivirus that express resistance to puromycin. Does anyone knows the best dosis and time for selection? I have found information using 2 micrograms per ml for 3 days, but when I did the kill curve for H2228 it did not seem to be enough.
Any information or experiences would be greatly appreciated!
Thank you!
Use of auxotrophic mutants lines for transformation of fungi is a traditional practise but it does not enable future discrimination between the wild type and transgenic line. Could basta gene serve to enable selection of the transgenic line from the wild type or from the back mutants of the transgenic line?
Did u experience video interviewing in process of selection and if u did how did u feel about it ?
since i am trying to grow deinococcus radiodurans in my lab, i encounter a lot of compititive bacteria like E. coli and Bacillus types. please suggest
I am using the Invitrogen Countess FL II to count PBMCs in bone marrow samples. Which settings (size, brightness and circularity) will help to select this specific cell population?
I am working on the analysis of fungal populations sampled from 12 geographic locations using RADseq data. The dataset contains 7439 polymorphic loci with ~10 snps per RAD locus (75,482 snps total). I ran Structure and DAPC using dataset with 7439 loci and 1 snp per locus (to avoid linkage). As a result, 5 genetic clusters were identified in the whole dataset. While reading literature on RADseq population analysis, I have noticed that people also run analysis on the detection of loci under selection using Bayescan.
In order to proceed with the population analysis, I want to detect potential loci under selection in my dataset as well for two reasons: 1. To ensure I use only potentially neutral loci for population structure analysis; 2. Possibly identify genes that participate in local adaptation (environment etc) or code important phenotypic traits (e.g., linked to pathogenicity and such).
Since, I have never done such analysis before, I am worried whether I am approaching this task correctly, and I am also concerned about false positives. I was hoping to get perspective from scientific community and possibly some suggestions on few things.
First, if I want to detect whether any of markers I use for population analysis (e.g., single snp per locus) are under selection, I should use dataset with population strata 5 for Bayescan and dataset in which only single snp per locus recorded. Is it correct?
Second, if I want to detect loci under selection to further check for links to local adaptation and/or phenotypic characteristics, I should use population strata 12 (geographic locations) and dataset that consists of haplotypes that were built from all the snps detected in all loci. Is this correct?
Based on the logic described in "First" and "Second", I did test runs with Bayescan and plotted results. Two plots are attached. My questions regarding plots:
1. The distribution of data points on both plots diverges. My interpretation is that Bayescan detected loci under selection with very high Fst and low Fst (am I right?). Would that be a correct conclusion to make that loci with low Fst (lower string on the plot) are probably under balancing selection, while with high Fst under diversifying selection?
2. The difference in number of loci under selection reported from two separate analyses is significant. In the first run with pop5 and single snp (two alleles), I have got 272 outliers. In the second run with pop12 and haplotypes derived from all snps in loci (multiple alleles) I have got 700 outliers (roughly 10% of the total dataset). I don't know how to evaluate this result. Is it real or do I most likely have false positives here (since there are so many of them)?
If you can give input/perspective/warnings/point on my mistakes on at least some of the questions I highlighted above, I will be very grateful. I just want to make sure I am not doing some fundamental mistakes in the beginning and setting my analyses incorrectly.
Many thanks for reading and taking time to think with me.
Olga
At first I used for my transformations by electroporation CL990-cin in concentration 100 mkg/ml. But single colonies of not-transformed strain grow on a plate. I increased concentration of antibiotic to 300, but it didn't help. A substitution of CL990-cin to Zeocin is also. Plates were made without direct light source and covered by foil. It only leaves pH. But may be someone had any experience with this antibiotic?
I would like to isolate Plesiomonas from freshwater ?
do you know specific/selective culture media and/or enrichment step ?
thank you
Hi and thanks for taking the time to help me.
SHORT
Given I have all pairwise combinations of elements in a population, and each pair has a value associated with it. What algorithms can be used to select the pairs in order to maximize the sum of values under the constraint that each element must occur only once in the selected pairs?
LONG
Setting
I have a matrix of shape nxn with n being an even number. Elements exist only for the upper triangular matrix (not for the main diagonal however). Thus, the matrix indicates all possible pairing combinations (without repetition). Each pair is represented by a value in the matrix.
Imagine 4 boxer (A, B, C and D) whereas the matrix represents a possible fight setups.
A B C D
A X X X
B X X
C X
D
Problem
I want to select n/2 values (2 in the example above). The constraint is, that after choosing the first element, the respective row and column is "deleted". By that I ensure that every boxer is chosen exactly once.
The resulting combination are the values of the following intersections
- AB / CD
- AC / BD
- AD / BC
Basically, it resembles to the combinatorial problem given in most sport league systems where teams are paired in the first round.
In this case however, each element has a value (let´s say, each fight has a prestige score). I want to select these elements in order to maximize the sum over all values.
If n is large, I need an algorithm to find a good solution. I thought that the problem might be similar to the traveling salesman or Knapsack problem. Hence, I could use according algorithms. However, I am not sure and would be happy to get input what algorithms could be suitable to this problem?
Best
Sven
Dear Sir/Madam,
We invite you to partake in a survey for this research project. The main objective of the survey is to identify the most critical QoS factors influencing the selection decision success in cloud service composition. Your participation will be completely confidential, and you will remain completely anonymous throughout this process. The data gathered within this survey will not be subject to any public disclosure and is for use only as part of a PhD research project. The following survey is stage 1 of our survey. The survey will provide valuable inputs for us to improve our research efficiency.
Thank you for taking the time to complete this survey
Survey Link: https://forms.gle/LuNthZ1MUSrCNSY49
Hello all,
I've detected selection using different methods. I am here showing example CLR method.
What I did is I selected position that have 1% highest CLR value (see picture). and crossed the position with the annotation and I got 1200 genes.
imagine that MYB transcription factor was in the list of candidate region that are under selection.
There is a probably several hundreds of MYB in the genome, so it's very likely that I can find them in the peaks by chance.
How would you really say this gene was under selection if it's at the end is a matter of chance?
Has anyone conducted a Puromycin kill curve on the mouse ovarian cancer ID8 cell line? I will be needing to do one before transfection, and am trying to decide the concentrations to vary treatment at. What concentrations have worked for you?
Thanks in advance.
What are the main topics, researched currently in the field of preferences? What are the more relevant open questions? Are the general definition of preferences among them (or equivalent: is there any attempt to create the foundations of the Unified Theory of preferences?).
I am not getting which part od data is used as PCA components... How to use sensing data for pCA anaysis
Hi!
I am trying to select the lowest amount of blasticidin needed for selection in murine primary neurons. I have tried concentrations from 1-8 ug/ml and had no difference in the fitness between the cells. The cells did appear dead, the axons were disintegrating but the cells didnt actually detach from the wells.
I am not sure what to make out of this, could I use blasticidin for selection and passage the cells & count on that the dead cells wont attach but that the live ones will?
Any input would be appreciated.
Best,
Linn
I have done selection puromycin 24 hours after infected and 48 hours after infected to the cell F1 B16. Then I used 400 ul dan 200 ul pBabe.puro.cmv andpcl ampho to infected the cell, but after selection 3 days, all cells died, does it mean that there were problem with retrovirus product?
Please, I'm looking for some Methods/Tools of the Learning Environments (LMS...) Qualification/Selection....
Many Thanks in advance.
Best Regards.
Yassine Zarouk
Adaptations correspond to physiological ranges (reaction norms, somatic adaptations). According to the theory of facilitated variation, such dynamic physiological restorations of the phenotype in response of variable environmental conditions are the outcome of genetic constraints (e.g. plasticity and robustness of developmental pathways). Therefore, when somatic adaptation occurs, exposing the phenotype to different selective conditions, physiological ranges can be "easily" shifted (i.e. their evolutionary shift is facilitated) by mutation, or genetic reassortments from the existing variability in the population (Baldwinian evolution). In other words, one of the key characteristics of adaptations would be their evolvability, or to say this with the words of Gould and Vrba (1982), "cooptability for fitness". Evolvability can thus be strongly conserved at the level of core molecular processes. Adaptations would then be selected to be both physiologically adaptable, i.e. to function in "a range of ways" in response to changed conditions ("dynamic restoration" or somatic adaptation), and to be evolvable. In other words, the "cooptability for fitness" would be under selection.
In my view, this idea implies that all adaptations at the organismal level should be partly selected to be "preaptations" (sensu Gould and Vrba 1982, Paleobiology), i.e. structures that retain the potential to enhance fitness (adaptive function) in variable conditions. Gould (2002, the structure of evolutionary theory) suggested that this selection should act at higher hierarchical level (species selection). However, the fact that adaptations that are selected in specific conditions are also selected to be physiologically modifiable, or to function in “a range of ways”, would make them likely to have fitness-increasing effects (aptations) that are not those they were selected for during their historical genesis, i.e. to become exaptations. Could this be a bet-hedging strategy also selected at organismal level?
That is, exaptations would also have a non-random origin (contra Gould & Vrba 1982), while this does not rule out the possibility of non-aptations as a possible source of exaptations. In this scenario, exaptations from nonaptations (spandrels s.s.) would be less frequent than exaptations from previous adaptations. Note also that the measurable adaptations are a subset of the extant ones, due to the overall scarcity of available historical data.
I will often modify my comments.
I calculated allele frequency classes and number of alleles (from microsat data) to infer selection/demography of a population. I experienced that intermediate and high frequency alleles are lack. There is no sign of recent bottleneck because I have high numbers at low frequency class. May I experience high geneflow or large scale drift as cause distortion? Please suggest articles on the topic to explain.
I have 800 plants each for two turmeric varieties in M1V2 generation. I have found that many plants have undesirable characters. I am aiming for simultaneous improvement in curcumin, yield and desirable rhizome characters, In turmeric, yield is associated with plant height, leaf size, number and tillers apart from rhizome characters. I want to select certain mutants in this generation. What is the best strategy for selecting the plants as I wish to analyze for curcumin content in M1V3 generation without losing variability.
Hi everyone.
My lab bought a stable MDA-MB-231/Cas9 cell-line. The selection antibiotic is hygromycin. In the data-sheet, they say that for subculture, I should replace the selection medium with selection-free medium for up to 6 hours. Then I should rince with PBS and trypsinize my cells and split them in 1/2 : 1/4 ratio.
I don't understand why replacing selection medium with free-selection medium is asked for a simple passage...
Does someone have experience with stable cell-lines and can explain this to me?
Thank you in advance!
I am working on a recombinant protein that belongs to YjgF/Yer057p/UK114 family. I want to know the similarity of my protein with other membrs of this family. Which database i can use, and whar would be the selection criteria for best match ?
I want to create a figure like mentioned in this paper
Many Thanks
I'm currently studying tests that predict performance in air force school. But the result is kind of disappointing because the tests (there are 25 tests) only predict 35% of the variation of performance in air school. I need papers on study that i mentioned above to show that besides the result of my study, there has to be a reduction number of tests for efficiency. Thank you.
What would be the confidence level of points selection for the quantification of area under a signal ?
Hi.
When i do a modal test on any structures.
So, How many can i select number of measurement points?
How can i select locations to put sensors?
And, the end, what does they depend on?
Thank you.
I want to test and compare the activity of a rhamnolipid and a sophorolipid sample. Is it essential to test the same range of concentrations for both biosurfactants, as both might have different effective concentrations?
Hi
I was informed you cited one of my articles - from the one selected I thought the letter addd may also provide some info. Please excuse if not relevant.
Regards
Every time this is an issue arising while calculating the yield. Two different kinds of results are coming with two different approaches
Dear ALL,
i was wondering if somebody with experience can recommend the optimal conditions (in terms of concentration and time of incubation) of Puromycin selection for immortalized human bone marrow MSCs ?
Thanks for your help
Regards
Laura Macri-Pellizzeri
Dear researchers, what variables would be possible to fill the gap in job analysis, selection, personality and job performance relationship?
I want to understand the relationship between discretization and selection of element. what is the significance of order element?
Dear All,
How do you determine which potential range to sweep in a potentiodynamic Tafel scan?
How would you determine the corrosion potential for Titanium and its alloys?
Thank you Very much.
I am looking for optimum Carrier frequency for sinusoidal pulse width modulation for reducing THD?Does selection of frequency convert SPWM into SHE-PWM?
while the preparation of sample by using powder metallurgy what factors are taken in consideration to finalize the percentage of the base material and reinforcements.
How to improve the inheritance of pigeons, selection or crossbreeding?
whats most important traits we study? Can we use molecular markers in enhancement? What is the suitably markers we use?
Like in C-H activation reaction s if I looking for a meta selective reaction, then how will I determine meta:other products from nmr of reaction mixture?
In term of the selection, analysis and as approach, what is the difference between these approaches Grounded theory, Ethnography and Phenomenology ?
I used PDA and Swab cotton techniques to isolate Pyricularia but till now not successful. How may I start my job to isolate Pyricularia from rice sample?
how i can solve the error:the selected primary variable is not avvailable in the current frame in the abaqus
Now I try to select animate => save as=> .avi
but after i try to open this file with window media player, it showed non-movement.
I work on a multi-objective problem and I am preparing a Pareto front. Among the solutions I want to select the best solution. I know there are many methods such as min-max or fuzzy methods. Does anyone know a better method to find the best solution? Or does anyone know any report or paper that compares the different methods in this context?
Knowing that the challenges that face rural telecoms planners are complex and multi-dimensional.
The reasons for choosing target species.
Thanks!
Why we use the reciprocal of the probability of being selected into survey as the weighting sample?
I only want my participants to agree or disagree with a statement. '1' for "strongly disagree", '2' for "disagree", '4' for "agree", '5' for "strongly agree".
My simulation has 6 Process Modules, each with 1 resource and I used the Failure Module to set the up-time and downtime for each resource.
For the entire system, 1 resource per month is suppose to fail and the selection of the resource to fail is random.
Does Arena have any ability to randomly allocate failure to resources?
Do you know how I can go about it?
how can we decide the selection of a model for our analysis? because sometimes it really just seem challenging to select a best model for analysis, what should be the criteria to select any model ?
I need moment and axial force time histories along a tunnel liner for an earthquake excitation problem. When selecting points for curves prior to a dynamic calculation, points selected on structural elements (such as a plate element) record the displacements and accelerations at each time step but not the forces. The only way I have found to get around this is to store the results for every time step of the dynamic analysis for the entire model including all of the soil elements. Doing this allows me to select points for force time histories along the tunnel liner after the calculation is complete. However, this results in a huge amount of data (50 GB per run for my simple 2D model). It also makes the curves program take a long time to start up. Has anyone found a more efficient way to get time history data from structural elements when using the Plaxis 2D 2016 dynamics module?
Thanks!
I have 81 samples of essential oil obtained by 3*3 levels and 3 treatment for each level. Can anybody please help me know how to select between these 81 samples for GC/MSS analysis?
Dear colleagues,
I would like to share with you the list of predatory publishers. Is this list applies to the entire scientific community? And the criteria of selection are unanimously adopted or not?
Thank you in advance for all your contributions
Best regards,
A. DEGAICHIA
how does one decide on the skills to be tested in an assessment. I am looking for possible methods that will help selecting appropriate skills to be tested and not the skills per se. additionally what would be the source of creating hypothetical situations / encounters that one may use in assessments of medical students . thanks
Its a general question. Asked to understand in which selection is most effective
Dear all, I am looking for a web tool to calculate the evolutionary selection pressure of a gene. Any suggstions please?
In an educational intervention study, for the process of randomisation can we use the teacher's reference as categorisation, that is when we want to select randomly can we use the subject teachers opinion for dividing the sample into low level learner, average level learner and high level learner as criterion for sample selection.
I would like to select 2 metals, and use one of them as sacrificial layer while keeping the other one to act as an electrode for my device. no preference in terms of properties is needed and it just needs to have enough adhesion to the glass. metals are not touching and are placed at different parts of a glass substrate. I have access to a sputtering machine with various metal targets like: Cu, Al, Ti, Cr, Co, Ni, W, Nb, and Ta.
I've initially used Al as the electrode and Cu and the sacrificial material but overnight exposure to APS-100 copper etchant dissolved the Al layer.
Any helps or thoughts is highly appreciated.
(N.B: for various reasons, I'm limited to the use of a metal layer as sacrificial layer. polymers, various ceramics, etc. is not an option for me.)
Regards,
suggest me which orthogonal array suitable in taguchi methods for 3 levels and 4 factors (3 speeds, 3 feeds, 3 doc, 3 different coolants)
Hi
I need to label 2 branches in a phylogenetic tree. Can somebody tell me if I have labelled the branches in these newick trees correctly. I need to use these trees in PAML to see positive selection in these branches. I have labelled the node would that be different to labelling the branches? The phylogenetic tree is attached
Thank you very much
chandima
Branch 2
(OsHKT11:0.587799,OsHKT13:0.3677219999999999,((OsHKT15:0.502488,TmHKT141:0.695629):0.25236000000000014,((OsHKt21:0.17423499999999992,(L823634:0.10184700000000002,((21acDNA:0.02246400000000004,21d:0.023975999999999997):0.01638699999999993,(21BcDNA:0.02215900000000004,AM00005:0.0511569999999999):0.013416000000000095):0.050529999999999964):0.07750600000000007):0.24453400000000003,((Sb251700:0.07577699999999998,ZM2G1356:0.1177109999999999):0.37270800000000004,((OsHKT23:0.02419299999999991,OsHKT24:0.021389000000000102):0.16342100000000004,((Bra34210:0.0,L100846:0.0):0.08045600000000008,(22BcDNA:0.02155499999999999,((22AcDNA:0.01854099999999992,22DcDNA:0.009038000000000102):0.01695599999999997,AK37002:0.03680799999999995):0.005055999999999949):0.06552399999999992):0.03808900000000004):0.099661)#1:0.17251799999999995):0.3580960000000002):0.3620859999999999);
Branch 1
(OsHKT11:0.587799,OsHKT13:0.3677219999999999,((OsHKT15:0.502488,TmHKT141:0.695629):0.25236000000000014,((OsHKt21:0.17423499999999992,(L823634:0.10184700000000002,((21acDNA:0.02246400000000004,21d:0.023975999999999997):0.01638699999999993,(21BcDNA:0.02215900000000004,AM00005:0.0511569999999999):0.013416000000000095):0.050529999999999964):0.07750600000000007) #1:0.24453400000000003,((Sb251700:0.07577699999999998,ZM2G1356:0.1177109999999999):0.37270800000000004,((OsHKT23:0.02419299999999991,OsHKT24:0.021389000000000102):0.16342100000000004,((Bra34210:0.0,L100846:0.0):0.08045600000000008,(22BcDNA:0.02155499999999999,((22AcDNA:0.01854099999999992,22DcDNA:0.009038000000000102):0.01695599999999997,AK37002:0.03680799999999995):0.005055999999999949):0.06552399999999992):0.03808900000000004):0.099661):0.17251799999999995):0.3580960000000002):0.3620859999999999);
I am trying to study selection of post-foraging perching tree by frugivorous birds.
I have collected perching frequency of bird used tree, and also studied of the number of available trees.
Does anybody have any good suggestions for evaluate tree selection?
I have a problem about kemid method.
There are many methods about action research method. Can someone help me to select one method
Any experience with the removal of Potassium from salt brine using froth flotation? What would be the ideal operation conditions such as pH, collector concentration etc.?
In the social sciences, organizations are assumed to be selected via the processes of natural selection, i.e. some organizations are determined to be less fit than other similar organizations who seek the same resources in a specific area.
My problem with this assumption is that; not that many organizations are really 'similar', not that many interact in a 'population interaction' sense, and very few expereince the 'same' environment. Therefore, it would seem that the process of environmental selection would better explaing the survival or otherwise of an organization. Especially when one considers the process of niche construction playing out and different organizations interacting with their environment in differing ways.
I need help in running geNORM on qPCR results for 10 housekeeping genes (HKGs). I did run qPCR on 20 different samples (RNA) with 1:100 dilutions. I am not sure whether I need to run qPCR with different dilutions (at least 5) or 1:100 would be enough to run geNORM for analysis of the data for HKGs? Before selecting 1:100 dilution, I run qPCR for 10 HKGs on one RNA template with 6 different dilutions (ten times) and selected 1:100 on the basis of PCR efficiency and R2.
In Computing there is often two different ways that a process can be executed, Pre-emptive Selection, or Lazy Selection. In Pre-emptive Selection something is known about the process before selection is done, In Lazy Selection, nothing about the process needs to be known before the selection step because you are selecting among results.
In the Global Neuronal Workspace, it is assumed that Lazy Selection is the operation, and selection happens due to the "Strength" of the signal after processing.
This assumes that there is something about the processing step that determines the "Strength" of the signal so that there is a reason to select.
Theoretically, if there is nothing about the processing step that determines the "Strength" of the signal you would get a "Deadlock" as in other processing systems that must decide between different threads of execution.
Is the Neuronal Workspace theory correct in assuming that there is a
"strength" difference between modules, or is there some other decision making process involved such as Pre-emptive Selection?
I found inconsistent literature on when design effect and finite population correction are used. Some say that that finite pop correction is only useful in random sampling but others just mention % n/N only. Similarly, with a purposive sampling but we select cluster purposively first and then select individuals within each cluster, I know this sampling is potentially biased and is not be able to generalize but wonder if cluster effect is needed in this case
I am interested in using this inducible and stable selectable vector in cell culture experiments.
waste management using fuzzy
How do we differentiate between positive and negative selection. These two terms sound like they are complementary to each other.
I'm asking as I need to run a lot of reactions and am trying to minimize on the cost.. By the way we have the 7500 FAST system.
If the sample size is affected by the response not selected does this affect the level of accuracy of the results?
I'm wondering as in the first step in case selection is case representation. Any idea how can the case indexing be done? other than just a pointer you do it roughly which points on the main feature within the case?
Does The MDM system Power per each mode will be the power of single mode divided by the number of modes?To avoid Non-linearity or Fiber fuse.