First summary of RNAseq expression

First let’s look at the size of our gene expression table and how many genes are expressed.

A total of 25232 genes are expressed.

#descriptive statistics

Counts of gene expression:

## total number of genes
## [1] 35735
## genes with expression
## 
## FALSE  TRUE 
## 10503 25232
## [1] 25232    20

Gene expresion and filtering of non-expressed transcripts

## [1] 25232

## Sample labels
##  [1] mut mut mut mut mut mut mut mut mut mut wt  wt  wt  wt  wt  wt  wt  wt  wt 
## [20] wt 
## Levels: wt mut

More descriptive analyses

Here we prepare the matrices of gene expression and we look at the overall gene expression by sample

## [1] "DGEList"
## attr(,"package")
## [1] "edgeR"
## [1] "counts"  "samples"
## Sample matrix of read count per million
##                                result_mut10_count result_mut1_count
## MSTRG.21351|ENSCAFG00000018009           9.173737          11.70929
## MSTRG.1338|ENSCAFG00000000293           50.671234          43.16524
## MSTRG.14810|ENSCAFG00000013414          19.095176          17.42113
## MSTRG.18116|ENSCAFG00000015607          11.158024          12.60686
## MSTRG.11829|ENSCAFG00000012768          39.283148          49.08108
##                                result_mut2_count result_mut3_count
## MSTRG.21351|ENSCAFG00000018009          8.875232          12.23631
## MSTRG.1338|ENSCAFG00000000293          46.248574          46.33252
## MSTRG.14810|ENSCAFG00000013414         12.545160          15.63287
## MSTRG.18116|ENSCAFG00000015607         10.335714          10.97349
## MSTRG.11829|ENSCAFG00000012768         53.401188          31.52701
##                                result_mut4_count
## MSTRG.21351|ENSCAFG00000018009          9.760479
## MSTRG.1338|ENSCAFG00000000293          48.715246
## MSTRG.14810|ENSCAFG00000013414         19.738825
## MSTRG.18116|ENSCAFG00000015607         12.374893
## MSTRG.11829|ENSCAFG00000012768         31.982997
## How many genes have at least nine samples with a count per million>9?
## filtercpm
## FALSE  TRUE 
##  8288 16944
## Observe outlier sample in MDS plot

## [1] "DGEList"
## attr(,"package")
## [1] "edgeR"

Normalization and differential expression

## Disp = 0.05224 , BCV = 0.2286
## Disp = 0.12638 , BCV = 0.3555 
## Disp = 0.07945 , BCV = 0.2819 
## Disp = 0.10205 , BCV = 0.3195 
## Disp = 0.10156 , BCV = 0.3187 
## Disp = 0.09984 , BCV = 0.316 
## Disp = 0.07492 , BCV = 0.2737 
## Disp = 0.07534 , BCV = 0.2745 
## Disp = 0.08666 , BCV = 0.2944 
## Disp = 0.06858 , BCV = 0.2619 
## Disp = 0.07597 , BCV = 0.2756 
## Disp = 0.07841 , BCV = 0.28 
## Disp = 0.06899 , BCV = 0.2627 
## Disp = 0.07537 , BCV = 0.2745 
## Disp = 0.07869 , BCV = 0.2805 
## Disp = 0.06883 , BCV = 0.2624 
## Disp = 0.05465 , BCV = 0.2338 
## Disp = 0.05019 , BCV = 0.224 
## Disp = 0.04631 , BCV = 0.2152 
## Disp = 0.05955 , BCV = 0.244 
## Disp = 0.05528 , BCV = 0.2351 
## Disp = 0.04617 , BCV = 0.2149 
## Disp = 0.08127 , BCV = 0.2851 
## Disp = 0.04773 , BCV = 0.2185 
## Disp = 0.04172 , BCV = 0.2043 
## Disp = 0.03961 , BCV = 0.199 
## Disp = 0.04762 , BCV = 0.2182 
## Disp = 0.03545 , BCV = 0.1883 
## Disp = 0.03809 , BCV = 0.1952 
## Disp = 0.05374 , BCV = 0.2318 
## Disp = 0.03564 , BCV = 0.1888 
## Disp = 0.04109 , BCV = 0.2027 
## Disp = 0.03945 , BCV = 0.1986 
## Disp = 0.04355 , BCV = 0.2087 
## Disp = 0.03682 , BCV = 0.1919 
## Disp = 0.03381 , BCV = 0.1839 
## Disp = 0.04676 , BCV = 0.2162 
## Disp = 0.03504 , BCV = 0.1872 
## Disp = 0.03448 , BCV = 0.1857 
## Disp = 0.04559 , BCV = 0.2135 
## Disp = 0.04599 , BCV = 0.2144 
## Disp = 0.0366 , BCV = 0.1913 
## Disp = 0.03701 , BCV = 0.1924 
## Disp = 0.0317 , BCV = 0.178 
## Disp = 0.05382 , BCV = 0.232 
## Disp = 0.03623 , BCV = 0.1903 
## Disp = 0.0372 , BCV = 0.1929 
## Disp = 0.03789 , BCV = 0.1947 
## Disp = 0.0394 , BCV = 0.1985 
## Disp = 0.07201 , BCV = 0.2683

Differential expression analysis

## Histogram of p-values has desired shape

## Number of DE genes at FDR < 0.10
## [1] 486   4
## top 10 DE genes
##                                     logFC     logCPM       PValue          FDR
## ENSCAFG00000003496             -3.3038972 -0.2021082 3.707565e-23 6.282098e-19
## MSTRG.7226|ENSCAFG00000010008   2.0565905  1.4806904 5.004808e-20 4.240073e-16
## MSTRG.17992|ENSCAFG00000013691  2.6499301  0.7453387 8.927332e-16 5.042157e-12
## MSTRG.5659|ENSCAFG00000012022   0.8956423  6.3263964 1.370016e-14 5.803387e-11
## MSTRG.4426|ENSCAFG00000006134   1.1326055  5.2603432 2.827142e-13 9.580620e-10
## MSTRG.12343                    -2.4334341  0.2925127 7.589864e-13 2.143378e-09
## MSTRG.15878|ENSCAFG00000011115 -0.8856482  3.1270307 1.152219e-12 2.789029e-09
## ENSCAFG00000008193              2.5480143  0.9699329 1.692369e-11 3.584437e-08
## MSTRG.21590|ENSCAFG00000019451 -2.1465517  5.8520372 4.476487e-11 8.427733e-08
## MSTRG.2571|ENSCAFG00000003504   1.4288768  3.5031490 5.584084e-11 9.461671e-08

ADAMTS expression

## TS10 results
## Coefficient:  groupsmut 
##                                    logFC   logCPM     PValue       FDR
## MSTRG.8241|ENSCAFG00000018557 -0.2704827 5.067586 0.02006312 0.2745044
## TS17 results
## Coefficient:  groupsmut 
##                                     logFC   logCPM       PValue         FDR
## MSTRG.12393|ENSCAFG00000010709 -0.8999529 4.846317 5.439333e-05 0.008458657

Searchable table of gene expression

## [1] 486   4
## genes with at least one ID
## [1] 425   4
## genes with multiple names
## lnn
##   1   2   3   4 
## 406  16   1   2
## annotation table
## [1] 402   5
## total number of genes in DE
## [1] 449