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. 2018 Feb 14;19:145. doi: 10.1186/s12864-018-4515-2

Table 3.

Relative expression of the set of isoforms of four loci (TIMP1, ITGA5, ANXA2 and LITAF) in HIGH (N = 26) vs LOW (N = 26) pigsa

Feature ID Feature transcript ID Transcript ID Length (bp) Typeb Relative expression mean (%) CLC Bio STAR/RSEM/DESeq2
Log2
(FC)
P-value q-value Log2
(FC)
P-value q-valuec
ENSSSCG00000004578 ENSSSCT00000034155 ANXA2–201 1609 Protein coding 0.64 0.21 6.77E-01 1.00E + 00 0.07 9.20E-01 NA
ENSSSCG00000004578 ENSSSCT00000005057 ANXA2–202 1455 Protein coding 99.36 0.70 3.32E-06 7.23E-03 0.69 4.56E-06 1.58E-03
ENSSSCG00000000293 ENSSSCT00000000314 ITGA5–201 4445 Protein coding 99.00 0.85 2.64E-05 2.82E-02 0.85 2.54E-06 1.21E-03
ENSSSCG00000000293 ENSSSCT00000035821 ITGA5–203 1255 NMD 0.34 −0.03 9.18E-01 1.00E + 00
ENSSSCG00000000293 ENSSSCT00000034427 ITGA5–204 1013 NMD 0.71 −0.08 1.00E + 00 1.00E + 00
ENSSSCG00000000293 ENSSSCT00000033141 ITGA5–205 766 NMD 0.48 −0.29 1.00E + 00 1.00E + 00 −0.01 9.97E-01 NA
ENSSSCG00000012277 ENSSSCT00000013426 TIMP1–001 931 Protein coding 97.86 2.57 4.61E-07 1.85E-03 0.79 2.01E-04 1.32E-02
ENSSSCG00000012277 ENSSSCT00000033796 TIMP1–002 598 Protein coding 0.38 1.12 5.56E-01 1.00E + 00 0.38 8.98E-01 NA
ENSSSCG00000012277 ENSSSCT00000034602 TIMP1–003 641 Protein coding 1.57 1.19 8.47E-01 1.00E + 00 −0.19 7.39E − 01 NA
ENSSSCG00000012277 ENSSSCT00000036308 TIMP1–004 173 Protein coding 0.19 3.05 4.21E-01 1.00E + 00 0.18 9.52E-01 NA
ENSSSCG00000024982 ENSSSCT00000036552 LITAF-201 2190 Protein coding 88.45 1.01 1.02E-04 4.82E-02 0.79 1.21E-04 1.04E-02
ENSSSCG00000024982 ENSSSCT00000025103 LITAF-202 2370 Protein coding 11.55 -0.04 1.00E + 00 1.00E + 00 0.49 7.52E-01 NA

aDifferentially expressed mRNA isoforms that remained significant after correction for multiple testing (q-value < 0.05 and ±0.6 log2Fold-Change) are shown in bold. A positive log2FC means that the gene is upregulated in HIGH pigs

bNMD Nonsense-mediated mRNA decay

cFor multiple testing correction, DESeq2 carries out a filtering step based on the average expression strength of each gene across all samples with the aim of discarding genes which are likely to loose significance after correcting for multiple testing. The purpose of this filtering step is to increase statistical power by reducing the list of candidate genes to be tested. The q-values of the genes which do not pass the filtering step are set to NA