Transcriptomic and bioinformatics analysis of the early time-course of the response to prostaglandin F2 alpha in the bovine corpus luteum

Heather Talbott, Xiaoying Hou, Fang Qiu, Pan Zhang, Chittibabu Guda, Fang Yu, Robert A. Cushman, Jennifer R Wood, Cheng Wang, Andrea S Cupp, John S Davis

Research output: Contribution to journalArticle

2 Citations (Scopus)

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 P ≤ 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].

Original languageEnglish (US)
Pages (from-to)695-706
Number of pages12
JournalData in Brief
Volume14
DOIs
StatePublished - Oct 2017

Fingerprint

ontology
statistical analysis
animal
time

ASJC Scopus subject areas

  • General

Cite this

Transcriptomic and bioinformatics analysis of the early time-course of the response to prostaglandin F2 alpha in the bovine corpus luteum. / Talbott, Heather; Hou, Xiaoying; Qiu, Fang; Zhang, Pan; Guda, Chittibabu; Yu, Fang; Cushman, Robert A.; Wood, Jennifer R; Wang, Cheng; Cupp, Andrea S; Davis, John S.

In: Data in Brief, Vol. 14, 10.2017, p. 695-706.

Research output: Contribution to journalArticle

@article{fc8dddf8cde74b6e9bb65aea2b0aefc5,
title = "Transcriptomic and bioinformatics analysis of the early time-course of the response to prostaglandin F2 alpha in the bovine corpus luteum",
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 P ≤ 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].",
author = "Heather Talbott and Xiaoying Hou and Fang Qiu and Pan Zhang and Chittibabu Guda and Fang Yu and Cushman, {Robert A.} and Wood, {Jennifer R} and Cheng Wang and Cupp, {Andrea S} and Davis, {John S}",
year = "2017",
month = "10",
doi = "10.1016/j.dib.2017.08.026",
language = "English (US)",
volume = "14",
pages = "695--706",
journal = "Data in Brief",
issn = "2352-3409",
publisher = "Elsevier BV",

}

TY - JOUR

T1 - Transcriptomic and bioinformatics analysis of the early time-course of the response to prostaglandin F2 alpha in the bovine corpus luteum

AU - Talbott, Heather

AU - Hou, Xiaoying

AU - Qiu, Fang

AU - Zhang, Pan

AU - Guda, Chittibabu

AU - Yu, Fang

AU - Cushman, Robert A.

AU - Wood, Jennifer R

AU - Wang, Cheng

AU - Cupp, Andrea S

AU - Davis, John S

PY - 2017/10

Y1 - 2017/10

N2 - 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 P ≤ 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].

AB - 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 P ≤ 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].

UR - http://www.scopus.com/inward/record.url?scp=85028933399&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85028933399&partnerID=8YFLogxK

U2 - 10.1016/j.dib.2017.08.026

DO - 10.1016/j.dib.2017.08.026

M3 - Article

C2 - 28932774

AN - SCOPUS:85028933399

VL - 14

SP - 695

EP - 706

JO - Data in Brief

JF - Data in Brief

SN - 2352-3409

ER -