Questions tagged [microarray]
A chip-based assay that allows parallel detection of thousands of samples, such as DNA, at once.
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Limma - Voom function for microarray data
I am wondering if anyone can have a look at the voom plot I got below and let me know if this is indicative of an issue with my design?
I understand that it should be more of a J-shape rather than a ...
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Why do microarrays require a priori knowledge of the genome?
Reading this paper they said this:
Contemporary microarrays emerged in the wake of genome sequencing
projects for one obvious reason: arrays require a priori knowledge of
the query genome
Why do you ...
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Why do genes, encoding the same proteins and in the same conditions, have different expression?
Is it possible that two genes, which come from two different cell cultures and which encodes the same protein, produces different quantity of mRNA? If yes, why?
My question comes from the fact that I ...
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Quantifying Gene Expression
I have found that many studies use the mRNA concentration as a “proxy” for protein activity because there should be correlation between mRNA levels and proteins expression levels. How is protein ...
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Why are there different gene expressions that are refered to the same gene in microarray experiments results?
I am studying gene expression profiling considering a dataset available on NCBI website. I do not understand the following: why are there some genes that have different profile and different ID ...
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Microarray experiment validation meaning
I have a quick question: what does microarray experiment validation mean ?
I was reading a paper in which they say that the data of the experiment show that the 3 genes radB, dp1 and dp2 are co-...
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Why do we use cRNA instead of initial extracted RNA in the microarray technique?
I am recapping for the exam in transcriptomics and stumbled into a question about microarray. So, our regular workflow is to
extract RNA from cells
generate cDNA from the initial RNA using reverse ...
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Why analyse transcriptome instead of proteome?
Analysing the transcriptome (RNA-Seq, microarrays, qPCR etc) is probably the most widely used technology to assess gene expression and dynamic cellular processes. The results are then extrapolated (...
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Preprocessing microarray data to detect increased male expression variance due to dosage compensation?
I am currently working with a dataset from a large microarray experiment where one of the aims is to look for evidence of the predicted doubling of variance in expression on the X chromosome in ...
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Does PCR amplification affect microarray or DNA biosensor results?
I've noticed that PCR amplification is commonly done before analyzing the DNA sample with microarrays or biosensors.
However, won't amplification biases or errors mess up the gene expression profile ...
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In microarray normalization, why is the normalization factor this?
I am working on analysis of a huge number of microarray files. I was trying to understand the need for normalization in microarray data and was going through this paper by John Quackenbush(2002). In ...
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Microarray with n channels
Recently we've been learning about Microarrays, and the typical method seems to be to run a two channel microarray where your RNA from each cell is labelled with a different fluorescent marker, and ...
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How do I score differential activity of cellular pathways in microarray data (not enrichment)?
I would like to identify cellular pathways (KEGG) with discriminative changes in the average activity (expression levels) of their gene members in a two-condition microarray dataset. The goal is to ...
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How to determine continental ancestry group (race) with transcriptome data obtained with RNA microarray?
Say I have a whole genome expression data (transcriptome) for some sampled human tissue. Is this data sufficient to find out the continental ancestry group of a donor?
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Are the human placenta chorionic villi and villous tree the synonyms?
Are the human placental chorionic villi and the villous tree the synonyms? Or, if not, can I say that these tissues would have practically the same gene expression profile in an RNA microarray ...
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