Back

An exon-intron split framework to prioritize transcriptional and post-transcriptional regulatory signals and its application to study energy homeostasis in pigs

Marmol-Sanchez, E.; Cirera, S.; Zingaretti, L.; Jacobsen, M. J.; Ramayo-Caldas, Y.; Jorgensen, C. B.; Fredholm, M.; Cardoso, T. F.; Quintanilla, R.; Amills, M.

2021-07-14 genomics
10.1101/2021.07.14.452370 bioRxiv
Show abstract

The contribution of microRNAs (miRNAs) to mRNA regulation has often been explored by post hoc selection of downregulated genes and determining whether they harbor binding sites for miRNAs of interest. This approach, however, does not discriminate whether these mRNAs are also downregulated at the transcriptional level. Here, we have characterized the transcriptional and post-transcriptional changes of mRNA expression in two porcine tissues: gluteus medius muscle of fasted and fed Duroc gilts and adipose tissue of lean and obese Duroc-Gottingen minipigs. Exon-intron split analysis (EISA) of RNA-seq data allowed us to identify downregulated mRNAs with high post-transcriptional signals in fed or obese states, and we assessed whether they harbor binding sites for upregulated miRNAs in any of these two physiological states. We found 26 downregulated mRNAs with high post-transcriptional signals in the muscle of fed gilts and 21 of these were predicted targets of upregulated miRNAs also in the fed state. For adipose tissue, 44 downregulated mRNAs in obese minipigs displayed high post-transcriptional signals, and 25 of these were predicted targets of miRNAs upregulated in the obese state. These results suggest that the contribution of miRNAs to mRNA repression is more prominent in the skeletal muscle system. Finally, we identified several genes that may play relevant roles in the energy homeostasis of the pig skeletal muscle (DKK2 and PDK4) and adipose (SESN3 and ESRRG) tissues. By differentiating transcriptional from post-transcriptional changes in mRNA expression, EISA provides a valuable view about the regulation of gene expression, complementary to canonical differential expression analyses.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 1%
17.2%
2
Physiological Genomics
15 papers in training set
Top 0.1%
9.0%
3
PLOS ONE
4510 papers in training set
Top 26%
6.7%
4
Frontiers in Genetics
197 papers in training set
Top 1.0%
6.2%
5
Frontiers in Endocrinology
53 papers in training set
Top 0.4%
4.8%
6
International Journal of Molecular Sciences
453 papers in training set
Top 1%
4.8%
7
BMC Genomics
328 papers in training set
Top 0.6%
4.2%
50% of probability mass above
8
Nucleic Acids Research
1128 papers in training set
Top 6%
3.5%
9
Genomics
60 papers in training set
Top 0.5%
2.8%
10
G3 Genes|Genomes|Genetics
351 papers in training set
Top 0.9%
2.6%
11
Genes
126 papers in training set
Top 0.9%
1.8%
12
NAR Genomics and Bioinformatics
214 papers in training set
Top 2%
1.7%
13
Metabolites
50 papers in training set
Top 0.5%
1.7%
14
Cells
232 papers in training set
Top 3%
1.7%
15
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 5%
1.6%
16
PeerJ
261 papers in training set
Top 9%
1.5%
17
The FASEB Journal
175 papers in training set
Top 2%
1.3%
18
The Journal of Physiology
134 papers in training set
Top 1.0%
1.3%
19
BMC Cancer
52 papers in training set
Top 2%
0.9%
20
eLife
5422 papers in training set
Top 54%
0.9%
21
Journal of Clinical Medicine
91 papers in training set
Top 5%
0.9%
22
Genetics Selection Evolution
33 papers in training set
Top 0.2%
0.9%
23
PLOS Computational Biology
1633 papers in training set
Top 23%
0.8%
24
Communications Biology
886 papers in training set
Top 22%
0.8%
25
Frontiers in Physiology
93 papers in training set
Top 6%
0.7%
26
Peer Community Journal
254 papers in training set
Top 4%
0.7%
27
RNA Biology
70 papers in training set
Top 0.5%
0.7%
28
PLOS Genetics
756 papers in training set
Top 15%
0.7%
29
Endocrinology
38 papers in training set
Top 0.6%
0.7%
30
iScience
1063 papers in training set
Top 33%
0.7%