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Transcriptomic and bioinformatics analysis of the early time-course of the response to prostaglandin F2 alpha in the bovine corpus luteum()()
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 ana...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596332/ https://www.ncbi.nlm.nih.gov/pubmed/28932774 http://dx.doi.org/10.1016/j.dib.2017.08.026 |
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author | 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. |
author_facet | 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. |
author_sort | Talbott, Heather |
collection | PubMed |
description | 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]. |
format | Online Article Text |
id | pubmed-5596332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-55963322017-09-20 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. Data Brief Agricultural and Biological Science 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]. Elsevier 2017-09-01 /pmc/articles/PMC5596332/ /pubmed/28932774 http://dx.doi.org/10.1016/j.dib.2017.08.026 Text en http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Agricultural and Biological Science 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. Transcriptomic and bioinformatics analysis of the early time-course of the response to prostaglandin F2 alpha in the bovine corpus luteum()() |
title | Transcriptomic and bioinformatics analysis of the early time-course of the response to prostaglandin F2 alpha in the bovine corpus luteum()() |
title_full | Transcriptomic and bioinformatics analysis of the early time-course of the response to prostaglandin F2 alpha in the bovine corpus luteum()() |
title_fullStr | Transcriptomic and bioinformatics analysis of the early time-course of the response to prostaglandin F2 alpha in the bovine corpus luteum()() |
title_full_unstemmed | Transcriptomic and bioinformatics analysis of the early time-course of the response to prostaglandin F2 alpha in the bovine corpus luteum()() |
title_short | Transcriptomic and bioinformatics analysis of the early time-course of the response to prostaglandin F2 alpha in the bovine corpus luteum()() |
title_sort | transcriptomic and bioinformatics analysis of the early time-course of the response to prostaglandin f2 alpha in the bovine corpus luteum()() |
topic | Agricultural and Biological Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596332/ https://www.ncbi.nlm.nih.gov/pubmed/28932774 http://dx.doi.org/10.1016/j.dib.2017.08.026 |
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