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Digital gene-expression of alfalfa saponin extract on laying hens
Cardiovascular disease is a major cause of death worldwide, so people are advised to limit their intake of dietary cholesterol [1]. Egg consumption has been seriously reduced because of the high levels of cholesterol [2]. The objective of this study was to evaluate the cholesterol metabolism effects...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535876/ https://www.ncbi.nlm.nih.gov/pubmed/26484156 http://dx.doi.org/10.1016/j.gdata.2014.12.003 |
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author | Fan, Wenna Du, Hongqi Zhou, Lu Shi, Pengfei Wang, Chengzhang |
author_facet | Fan, Wenna Du, Hongqi Zhou, Lu Shi, Pengfei Wang, Chengzhang |
author_sort | Fan, Wenna |
collection | PubMed |
description | Cardiovascular disease is a major cause of death worldwide, so people are advised to limit their intake of dietary cholesterol [1]. Egg consumption has been seriously reduced because of the high levels of cholesterol [2]. The objective of this study was to evaluate the cholesterol metabolism effects of alfalfa saponin extract (ASE) in liver and ovary tissues using digital gene-expression (DGE) profiling analysis. The liver and ovary tissues were isolated from laying hens fed with ASE for RNA sequencing. Here, we provide detailed experimental methods and analysis pipeline in our study to identify digital gene expression of alfalfa saponin extract on laying hens and analysis pipeline published by Singh and colleagues in the PLOS ONE [3]. The data generated in our work provide meaningful information for understanding the molecular mechanisms underlying the cholesterol-lowering effects of ASE. |
format | Online Article Text |
id | pubmed-4535876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-45358762015-10-19 Digital gene-expression of alfalfa saponin extract on laying hens Fan, Wenna Du, Hongqi Zhou, Lu Shi, Pengfei Wang, Chengzhang Genom Data Data in Brief Cardiovascular disease is a major cause of death worldwide, so people are advised to limit their intake of dietary cholesterol [1]. Egg consumption has been seriously reduced because of the high levels of cholesterol [2]. The objective of this study was to evaluate the cholesterol metabolism effects of alfalfa saponin extract (ASE) in liver and ovary tissues using digital gene-expression (DGE) profiling analysis. The liver and ovary tissues were isolated from laying hens fed with ASE for RNA sequencing. Here, we provide detailed experimental methods and analysis pipeline in our study to identify digital gene expression of alfalfa saponin extract on laying hens and analysis pipeline published by Singh and colleagues in the PLOS ONE [3]. The data generated in our work provide meaningful information for understanding the molecular mechanisms underlying the cholesterol-lowering effects of ASE. Elsevier 2014-12-27 /pmc/articles/PMC4535876/ /pubmed/26484156 http://dx.doi.org/10.1016/j.gdata.2014.12.003 Text en © 2014 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data in Brief Fan, Wenna Du, Hongqi Zhou, Lu Shi, Pengfei Wang, Chengzhang Digital gene-expression of alfalfa saponin extract on laying hens |
title | Digital gene-expression of alfalfa saponin extract on laying hens |
title_full | Digital gene-expression of alfalfa saponin extract on laying hens |
title_fullStr | Digital gene-expression of alfalfa saponin extract on laying hens |
title_full_unstemmed | Digital gene-expression of alfalfa saponin extract on laying hens |
title_short | Digital gene-expression of alfalfa saponin extract on laying hens |
title_sort | digital gene-expression of alfalfa saponin extract on laying hens |
topic | Data in Brief |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535876/ https://www.ncbi.nlm.nih.gov/pubmed/26484156 http://dx.doi.org/10.1016/j.gdata.2014.12.003 |
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