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>
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2017
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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 |
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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 |
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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 |
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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 |
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<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 |
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