Data from: Transcriptomes of bovine ovarian follicular and luteal cells

<p>Affymetrix Bovine GeneChip® Gene 1.0 ST Array RNA expression analysis was performed on four somatic ovarian cell types: the granulosa cells (GCs) and theca cells (TCs) of the dominant follicle and the large luteal cells (LLCs) and small luteal cells (SLCs) of the corpus luteum. The normalized linear microarray data was deposited to the NCBI GEO repository (GSE83524). Subsequent ANOVA determined genes that were enriched (≥2 fold more) or decreased (≤−2 fold less) in one cell type compared to all three other cell types, and these analyzed and filtered datasets are presented as tables. Genes that were shared in enriched expression in both follicular cell types (GCs and TCs) or in both luteal cells types (LLCs and SLCs) are also reported in tables. The standard deviation of the analyzed array data in relation to the log of the expression values is shown as a figure. These data have been further analyzed and interpreted in the companion article "Gene expression profiling of ovarian follicular and luteal cells provides insight into cellular identities and functions", Romereim et al., (2017) <em>Mol. Cell. Endocrinol.</em> 439:379-394. <a href="https://doi.org/10.1016/j.mce.2016.09.029">https://doi.org/10.1016/j.mce.2016.09.029</a> </p> <div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: RNA Expression Data from Four Isolated Bovine Ovarian Somatic Cell Types.</p> <p>File Name: Web Page, url: <a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE83524" target="_blank">https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE83524</a> </p><p>NCBI Gene Expression Omnibus (GEO) Accession Display. Analysis of the RNA present in each bovine cell type using Affymetrix microarrays yielded new cell-specific genetic markers, functional insight into the behavior of each cell type via Gene Ontology Annotations and Ingenuity Pathway Analysis, and evidence of small and large luteal cell lineages using Principle Component Analysis. Enriched expression of select genes for each cell type was validated by qPCR. This expression analysis offers insight into the lineage and differentiation process that transforms somatic follicular cells into luteal cells. The orignal Affymetrix .CEL files and the normalized linear expression data are included in this submission.</p></li></ul>

Saved in:
Bibliographic Details
Main Authors: Sarah M. Romereim (17478504), Adam F. Summers (17478507), William E. Pohlmeier (17478510), Pan Zhang (206408), Xiaoying Hou (4503154), Heather Talbott (17478462), Robert A. Cushman (17478465), Jennifer R. Wood (11662054), John S. Davis (11662060), Andrea S. Cupp (11662057)
Format: Dataset biblioteca
Published: 2017
Subjects:Animal production, Genomics and transcriptomics, Genetics, Animal structure and function, Bos taurus, somatic ovarian cell types, granulosa cells, theca cells, large luteal cells, small luteal cells, data.gov, ARS,
Online Access:https://figshare.com/articles/dataset/Data_from_Transcriptomes_of_bovine_ovarian_follicular_and_luteal_cells/24852552
Tags: Add Tag
No Tags, Be the first to tag this record!
id dat-usda-us-article24852552
record_format figshare
spelling dat-usda-us-article248525522017-12-15T00:00:00Z Data from: Transcriptomes of bovine ovarian follicular and luteal cells Sarah M. Romereim (17478504) Adam F. Summers (17478507) William E. Pohlmeier (17478510) Pan Zhang (206408) Xiaoying Hou (4503154) Heather Talbott (17478462) Robert A. Cushman (17478465) Jennifer R. Wood (11662054) John S. Davis (11662060) Andrea S. Cupp (11662057) Animal production Genomics and transcriptomics Genetics Animal structure and function Bos taurus somatic ovarian cell types granulosa cells theca cells large luteal cells small luteal cells data.gov ARS <p>Affymetrix Bovine GeneChip® Gene 1.0 ST Array RNA expression analysis was performed on four somatic ovarian cell types: the granulosa cells (GCs) and theca cells (TCs) of the dominant follicle and the large luteal cells (LLCs) and small luteal cells (SLCs) of the corpus luteum. The normalized linear microarray data was deposited to the NCBI GEO repository (GSE83524). Subsequent ANOVA determined genes that were enriched (≥2 fold more) or decreased (≤−2 fold less) in one cell type compared to all three other cell types, and these analyzed and filtered datasets are presented as tables. Genes that were shared in enriched expression in both follicular cell types (GCs and TCs) or in both luteal cells types (LLCs and SLCs) are also reported in tables. The standard deviation of the analyzed array data in relation to the log of the expression values is shown as a figure. These data have been further analyzed and interpreted in the companion article "Gene expression profiling of ovarian follicular and luteal cells provides insight into cellular identities and functions", Romereim et al., (2017) <em>Mol. Cell. Endocrinol.</em> 439:379-394. <a href="https://doi.org/10.1016/j.mce.2016.09.029">https://doi.org/10.1016/j.mce.2016.09.029</a> </p> <div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: RNA Expression Data from Four Isolated Bovine Ovarian Somatic Cell Types.</p> <p>File Name: Web Page, url: <a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE83524" target="_blank">https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE83524</a> </p><p>NCBI Gene Expression Omnibus (GEO) Accession Display. Analysis of the RNA present in each bovine cell type using Affymetrix microarrays yielded new cell-specific genetic markers, functional insight into the behavior of each cell type via Gene Ontology Annotations and Ingenuity Pathway Analysis, and evidence of small and large luteal cell lineages using Principle Component Analysis. Enriched expression of select genes for each cell type was validated by qPCR. This expression analysis offers insight into the lineage and differentiation process that transforms somatic follicular cells into luteal cells. The orignal Affymetrix .CEL files and the normalized linear expression data are included in this submission.</p></li></ul> 2017-12-15T00:00:00Z Dataset Dataset 10.1016/j.dib.2016.11.093 https://figshare.com/articles/dataset/Data_from_Transcriptomes_of_bovine_ovarian_follicular_and_luteal_cells/24852552 CC BY 4.0
institution USDA US
collection Figshare
country Estados Unidos
countrycode US
component Datos de investigación
access En linea
databasecode dat-usda-us
tag biblioteca
region America del Norte
libraryname National Agricultural Library of USDA
topic Animal production
Genomics and transcriptomics
Genetics
Animal structure and function
Bos taurus
somatic ovarian cell types
granulosa cells
theca cells
large luteal cells
small luteal cells
data.gov
ARS
spellingShingle Animal production
Genomics and transcriptomics
Genetics
Animal structure and function
Bos taurus
somatic ovarian cell types
granulosa cells
theca cells
large luteal cells
small luteal cells
data.gov
ARS
Sarah M. Romereim (17478504)
Adam F. Summers (17478507)
William E. Pohlmeier (17478510)
Pan Zhang (206408)
Xiaoying Hou (4503154)
Heather Talbott (17478462)
Robert A. Cushman (17478465)
Jennifer R. Wood (11662054)
John S. Davis (11662060)
Andrea S. Cupp (11662057)
Data from: Transcriptomes of bovine ovarian follicular and luteal cells
description <p>Affymetrix Bovine GeneChip® Gene 1.0 ST Array RNA expression analysis was performed on four somatic ovarian cell types: the granulosa cells (GCs) and theca cells (TCs) of the dominant follicle and the large luteal cells (LLCs) and small luteal cells (SLCs) of the corpus luteum. The normalized linear microarray data was deposited to the NCBI GEO repository (GSE83524). Subsequent ANOVA determined genes that were enriched (≥2 fold more) or decreased (≤−2 fold less) in one cell type compared to all three other cell types, and these analyzed and filtered datasets are presented as tables. Genes that were shared in enriched expression in both follicular cell types (GCs and TCs) or in both luteal cells types (LLCs and SLCs) are also reported in tables. The standard deviation of the analyzed array data in relation to the log of the expression values is shown as a figure. These data have been further analyzed and interpreted in the companion article "Gene expression profiling of ovarian follicular and luteal cells provides insight into cellular identities and functions", Romereim et al., (2017) <em>Mol. Cell. Endocrinol.</em> 439:379-394. <a href="https://doi.org/10.1016/j.mce.2016.09.029">https://doi.org/10.1016/j.mce.2016.09.029</a> </p> <div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: RNA Expression Data from Four Isolated Bovine Ovarian Somatic Cell Types.</p> <p>File Name: Web Page, url: <a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE83524" target="_blank">https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE83524</a> </p><p>NCBI Gene Expression Omnibus (GEO) Accession Display. Analysis of the RNA present in each bovine cell type using Affymetrix microarrays yielded new cell-specific genetic markers, functional insight into the behavior of each cell type via Gene Ontology Annotations and Ingenuity Pathway Analysis, and evidence of small and large luteal cell lineages using Principle Component Analysis. Enriched expression of select genes for each cell type was validated by qPCR. This expression analysis offers insight into the lineage and differentiation process that transforms somatic follicular cells into luteal cells. The orignal Affymetrix .CEL files and the normalized linear expression data are included in this submission.</p></li></ul>
format Dataset
author Sarah M. Romereim (17478504)
Adam F. Summers (17478507)
William E. Pohlmeier (17478510)
Pan Zhang (206408)
Xiaoying Hou (4503154)
Heather Talbott (17478462)
Robert A. Cushman (17478465)
Jennifer R. Wood (11662054)
John S. Davis (11662060)
Andrea S. Cupp (11662057)
author_facet Sarah M. Romereim (17478504)
Adam F. Summers (17478507)
William E. Pohlmeier (17478510)
Pan Zhang (206408)
Xiaoying Hou (4503154)
Heather Talbott (17478462)
Robert A. Cushman (17478465)
Jennifer R. Wood (11662054)
John S. Davis (11662060)
Andrea S. Cupp (11662057)
author_sort Sarah M. Romereim (17478504)
title Data from: Transcriptomes of bovine ovarian follicular and luteal cells
title_short Data from: Transcriptomes of bovine ovarian follicular and luteal cells
title_full Data from: Transcriptomes of bovine ovarian follicular and luteal cells
title_fullStr Data from: Transcriptomes of bovine ovarian follicular and luteal cells
title_full_unstemmed Data from: Transcriptomes of bovine ovarian follicular and luteal cells
title_sort data from: transcriptomes of bovine ovarian follicular and luteal cells
publishDate 2017
url https://figshare.com/articles/dataset/Data_from_Transcriptomes_of_bovine_ovarian_follicular_and_luteal_cells/24852552
work_keys_str_mv AT sarahmromereim17478504 datafromtranscriptomesofbovineovarianfollicularandlutealcells
AT adamfsummers17478507 datafromtranscriptomesofbovineovarianfollicularandlutealcells
AT williamepohlmeier17478510 datafromtranscriptomesofbovineovarianfollicularandlutealcells
AT panzhang206408 datafromtranscriptomesofbovineovarianfollicularandlutealcells
AT xiaoyinghou4503154 datafromtranscriptomesofbovineovarianfollicularandlutealcells
AT heathertalbott17478462 datafromtranscriptomesofbovineovarianfollicularandlutealcells
AT robertacushman17478465 datafromtranscriptomesofbovineovarianfollicularandlutealcells
AT jenniferrwood11662054 datafromtranscriptomesofbovineovarianfollicularandlutealcells
AT johnsdavis11662060 datafromtranscriptomesofbovineovarianfollicularandlutealcells
AT andreascupp11662057 datafromtranscriptomesofbovineovarianfollicularandlutealcells
_version_ 1813295228265693184