» Articles » PMID: 28932774

Transcriptomic and Bioinformatics Analysis of the Early Time-course of the Response to Prostaglandin F2 Alpha in the Bovine Corpus Luteum

Overview
Journal Data Brief
Date 2017 Sep 22
PMID 28932774
Citations 5
Authors
Affiliations
Soon will be listed here.
Abstract

RNA expression analysis was performed on the corpus luteum tissue at five time points after prostaglandin F2 alpha treatment of midcycle cows using an Affymetrix Bovine Gene v1 Array. The normalized linear microarray data was uploaded to the NCBI GEO repository (GSE94069). Subsequent statistical analysis determined differentially expressed transcripts ± 1.5-fold change from saline control with ≤ 0.05. Gene ontology of differentially expressed transcripts was annotated by DAVID and Panther. Physiological characteristics of the study animals are presented in a figure. Bioinformatic analysis by Ingenuity Pathway Analysis was curated, compiled, and presented in tables. A dataset comparison with similar microarray analyses was performed and bioinformatics analysis by Ingenuity Pathway Analysis, DAVID, Panther, and String of differentially expressed genes from each dataset as well as the differentially expressed genes common to all three datasets were curated, compiled, and presented in tables. Finally, a table comparing four bioinformatics tools' predictions of functions associated with genes common to all three datasets is presented. These data have been further analyzed and interpreted in the companion article "Early transcriptome responses of the bovine mid-cycle corpus luteum to prostaglandin F2 alpha includes cytokine signaling" [1].

Citing Articles

Transcriptomics-Based Study of Differentially Expressed Genes Related to Fat Deposition in Tibetan and Yorkshire Pigs.

Gong X, Zheng M, Zhang J, Ye Y, Duan M, Chamba Y Front Vet Sci. 2022; 9:919904.

PMID: 35754534 PMC: 9218471. DOI: 10.3389/fvets.2022.919904.


Genome-Wide Expression Profiling of mRNAs, lncRNAs and circRNAs in Skeletal Muscle of Two Different Pig Breeds.

Hou X, Wang L, Zhao F, Liu X, Gao H, Shi L Animals (Basel). 2021; 11(11).

PMID: 34827901 PMC: 8614396. DOI: 10.3390/ani11113169.


Glioblastoma gene network reconstruction and ontology analysis by online bioinformatics tools.

Gubanova N, Orlova N, Dergilev A, Oparina N, Orlov Y J Integr Bioinform. 2021; 18(4).

PMID: 34783229 PMC: 8709738. DOI: 10.1515/jib-2021-0031.


Transcriptome analysis reveals differential gene expression in intramuscular adipose tissues of Jinhua and Landrace pigs.

Miao Z, Wei P, Khan M, Zhang J, Guo L, Liu D J Vet Med Sci. 2018; 80(6):953-959.

PMID: 29709900 PMC: 6021883. DOI: 10.1292/jvms.18-0074.


Early transcriptome responses of the bovine midcycle corpus luteum to prostaglandin F2α includes cytokine signaling.

Talbott H, Hou X, Qiu F, Zhang P, Guda C, Yu F Mol Cell Endocrinol. 2017; 452:93-109.

PMID: 28549990 PMC: 7388008. DOI: 10.1016/j.mce.2017.05.018.

References
1.
Mondal M, Schilling B, Folger J, Steibel J, Buchnick H, Zalman Y . Deciphering the luteal transcriptome: potential mechanisms mediating stage-specific luteolytic response of the corpus luteum to prostaglandin F₂α. Physiol Genomics. 2011; 43(8):447-56. DOI: 10.1152/physiolgenomics.00155.2010. View

2.
Summers A, Pohlmeier W, Sargent K, Cole B, Vinton R, Kurz S . Altered theca and cumulus oocyte complex gene expression, follicular arrest and reduced fertility in cows with dominant follicle follicular fluid androgen excess. PLoS One. 2014; 9(10):e110683. PMC: 4199720. DOI: 10.1371/journal.pone.0110683. View

3.
Szklarczyk D, Franceschini A, Wyder S, Forslund K, Heller D, Huerta-Cepas J . STRING v10: protein-protein interaction networks, integrated over the tree of life. Nucleic Acids Res. 2014; 43(Database issue):D447-52. PMC: 4383874. DOI: 10.1093/nar/gku1003. View

4.
Huang D, Sherman B, Lempicki R . Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res. 2008; 37(1):1-13. PMC: 2615629. DOI: 10.1093/nar/gkn923. View

5.
Gentleman R, Carey V, Bates D, Bolstad B, Dettling M, Dudoit S . Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 2004; 5(10):R80. PMC: 545600. DOI: 10.1186/gb-2004-5-10-r80. View