Difference between revisions of "Jenna Reed"

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2/13/18
 
  
mut/WT log2 500/1000 = 0.5 Anything less than 1 is negative
 
 
DESeq2 >>> run htseq-count data with features
 
After doing a DESeq2 run, two files will appear in the history
 
First one is tabular. Download that, open in Text Wrangler, then copy and paste that in excel
 
Second one is a pdf. Download and open that to see data visualizations
 
 
54 & 55 >>> DESeq2 for "Female_MUTvWT"
 
56 & 57 >>> DESeq2 for "Male_MUTvWT"
 
58 & 59 >>> DESeq2 for "MUT_MALEvFEMALE"
 
60 & 61 >>> DESeq2 for "WT_MALEvFEMALE"
 
62 & 63 >>> DESeq2 for "MUT_v_WT"
 
 
Research method for today: look at what genes are significant in each dataset and see where there is overlap between datasets
 
 
In excel sheet:
 
DESeq2 data for all 5 comparisons
 
P-value < 0.05 highlighted in yellow
 
P-adjusted <0.05 highlighted in green
 
List of just the p-adjusted <0.05 genes for all 5 comparisons together
 
 
General observations:
 
# of genes with p-adj < 0.05
 
Female_MUTvWT: 72
 
 
Sphk2 >>> p-adj is less than 0.05 for both MUT_MALEvFEMALE and WT_MALEvFEMALE
 
Sphingosine Kinase 2
 
Paralog with Sphk1, which codes for the other enzyme that has the same function
 
Encodes for an enzyme that catalyzes the phosphorylation of sphingosine into sphingosine 1-phosphate
 
sphingosine 1-phosphate = important in cell migration, proliferation, apoptosis
 
Implicated in some cancers (breast cancer proliferation, chemoresistance)
 
Related pathways: Calcium signaling pathway (could be connection to CMT2D), Metabolism
 
 
Tsix >>> p-adj is less than 0.05 for both MUT_MALEvFEMALE and WT_MALEvFEMALE
 

Latest revision as of 02:47, 14 February 2018