Difference between revisions of "Jenna Reed"

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

Latest revision as of 02:47, 14 February 2018