What Insights Can Be Gained from MiRNA Profile Bar Diagrams in GSE94799?

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SUMMARY

The discussion focuses on interpreting miRNA profile bar diagrams from the GSE94799 dataset. Key questions include the significance of bars below zero and the relationship between the F statistic and log fold change (logFC) in RNA abundance analysis. It is established that bars below zero indicate a decrease in expression levels, while the F statistic is used in statistical tests like ANOVA to derive p-values, not directly related to logFC. Participants emphasize the importance of consulting documentation and advisors for clarity on graph interpretations.

PREREQUISITES
  • Understanding of miRNA microarray data analysis
  • Familiarity with statistical concepts such as the F statistic and ANOVA
  • Knowledge of log fold change (logFC) calculations in gene expression
  • Experience with interpreting graphical data representations
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  • Research "miRNA microarray data analysis techniques"
  • Study "F statistic in ANOVA" for statistical testing
  • Learn about "log fold change calculations in gene expression"
  • Consult "documentation for GSE94799 dataset analysis tools"
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Researchers in molecular biology, bioinformaticians, and anyone involved in analyzing miRNA expression data and interpreting microarray results.

TytoAlba95
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TL;DR
Hi there. I'm a PhD student learning how to interpret raw microarray data. I have selected a miRNA expression profile of mice liver tissue, of three groups: Control, High-fat diet(HFD) and HFD+drug.
microarry.png

Picture source:GSE94799

Following are the two different types of bar-digram that were observed. My questions are:
1. What do bars hanging below 0 mean in the first dig. ?
2. What do bars shooting from -6 mean, also why are they below 0?
3. Like a normal gene (non-ncRNA gene) expression profile where the expression level is measured by the logFC value, is F the parameter that is analogous to logFC here? Could you shed some light as how F works?
 
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This is outside my field, so I googled for 'microarray data analysis' and found some tutorials. I would suggest starting there.

When I hit problems, in Grad school, that I did not understand my first stop was to check in with my advisor, have you done that?
 
The y-axis of your graphs aren't labeled, so I don't think anyone can figure out what the values are supposed to mean. You'll probably need to consult the documentation from the program you used to obtain those graphs.

For logFC, this is short for the logarithm (usually base two) of the fold change of RNA abundance. For example, if the TPM of a gene A is 100 before treatment, and 200 after treatment, the fold change FC = 2 and log2(FC) = 1. Similarly for a gene that goes from 100 before treatment to 25 after treatment, FC = 0.25 and log2(FC) = -2.

In this context, I would assume that the F represented here refers to the F statistic for a statistical test such as ANOVA. The F is not directly related to log(FC), but is used to calculate the p-value.
 
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Hi
I had googled but with narrower keywords, which displayed nothing relevant. I was attending a lousy workshop on (protein coding gene) microarray data analysis. So miRNA microarray analysis naturally came to my mind. The resource person could not answer my questions so I decided to post here.

No, I haven't checked it with my advisor yet.
Thanks
 

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