Literature DB >> 31396752

Serial gene co-expression network approach to mine biological meanings from integrated transcriptomes of the porcine endometrium during estrous cycle.

Krishnamoorthy Srikanth1, WonCheoul Park1, Dajeong Lim1, Kyung Tai Lee2, Gul Won Jang1, Bong Hwan Choi1, Hakhyun Ka3, Jong-Eun Park4, Jun-Mo Kim5.   

Abstract

The estrous cycle is a complex process regulated by several hormones. To understand the dynamic changes in gene expression that takes place in the swine endometrium during the estrous cycle relative to the day of estrus onset, we performed RNA-sequencing analysis on days 0, 3, 6, 9, 12, 15, and 18, resulting in the identification of 4495 differentially expressed genes (DEGs; Q ≤ 0.05 and |log2FC| ≥ 1) at various phases in the estrous cycle. These DEGs were integrated into multiple gene co-expression networks based on different fold changes and correlation coefficient (R2) thresholds and a suitable network, which included 899 genes (|log2FC| ≥ 2 and R2 ≥ 0.99), was identified for downstream analyses based on the biological relevance of the Gene Ontology (GO) terms enriched. The genes in this network were partitioned into 6 clusters based on the expression pattern. Several GO terms including cell cycle, apoptosis, hormone signaling, and lipid biosynthetic process were found to be enriched. Furthermore, we found 15 significant KEGG pathways, including cell adhesion molecules, cytokine-cytokine receptor signaling, steroid biosynthesis, and estrogen signaling pathways. We identified several genes and GO terms to be stage-specific. Moreover, the identified genes and pathways extend our understanding of porcine endometrial regulation during estrous cycle and will serve as a good resource for future studies.

Entities:  

Keywords:  DEGs; Estrous cycle; Gene co-expression network; Porcine endometrium; RNA-seq

Mesh:

Year:  2019        PMID: 31396752     DOI: 10.1007/s10142-019-00703-1

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.410


  71 in total

1.  Expression of estrus modifies the gene expression profile in reproductive tissues on Day 19 of gestation in beef cows.

Authors:  S Davoodi; R F Cooke; A C C Fernandes; B I Cappellozza; J L M Vasconcelos; R L A Cerri
Journal:  Theriogenology       Date:  2015-10-14       Impact factor: 2.740

2.  Transcriptome changes in the porcine endometrium during the preattachment phase.

Authors:  Anastazia Samborski; Alexander Graf; Stefan Krebs; Barbara Kessler; Myriam Reichenbach; Horst-Dieter Reichenbach; Susanne E Ulbrich; Stefan Bauersachs
Journal:  Biol Reprod       Date:  2013-12-12       Impact factor: 4.285

3.  Combining partial correlation and an information theory approach to the reversed engineering of gene co-expression networks.

Authors:  Antonio Reverter; Eva K F Chan
Journal:  Bioinformatics       Date:  2008-09-10       Impact factor: 6.937

4.  Characterization of genes and pathways that respond to heat stress in Holstein calves through transcriptome analysis.

Authors:  Krishnamoorthy Srikanth; Anam Kwon; Eunjin Lee; Hoyoung Chung
Journal:  Cell Stress Chaperones       Date:  2016-11-16       Impact factor: 3.667

5.  Transcriptomic analysis of the porcine endometrium during early pregnancy and the estrous cycle.

Authors:  Anita Franczak; Bartosz Wojciechowicz; Genowefa Kotwica
Journal:  Reprod Biol       Date:  2013-07-20       Impact factor: 2.376

Review 6.  Cyclic changes in the matrix metalloproteinase system in the ovary and uterus.

Authors:  T E Curry ; K G Osteen
Journal:  Biol Reprod       Date:  2001-05       Impact factor: 4.285

7.  Expression of key prostaglandin synthases in equine endometrium during late diestrus and early pregnancy.

Authors:  Derek Boerboom; Kristy A Brown; Denis Vaillancourt; Pierre Poitras; Alan K Goff; Kikuko Watanabe; Monique Doré; Jean Sirois
Journal:  Biol Reprod       Date:  2003-10-15       Impact factor: 4.285

8.  Interleukin 11 advances progesterone-induced decidualization of human endometrial stromal cells.

Authors:  E Dimitriadis; L Robb; L A Salamonsen
Journal:  Mol Hum Reprod       Date:  2002-07       Impact factor: 4.025

9.  Gene co-expression network analysis reveals common system-level properties of prognostic genes across cancer types.

Authors:  Yang Yang; Leng Han; Yuan Yuan; Jun Li; Nainan Hei; Han Liang
Journal:  Nat Commun       Date:  2014       Impact factor: 14.919

10.  Gene co-expression analysis for functional classification and gene-disease predictions.

Authors:  Sipko van Dam; Urmo Võsa; Adriaan van der Graaf; Lude Franke; João Pedro de Magalhães
Journal:  Brief Bioinform       Date:  2018-07-20       Impact factor: 11.622

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