Literature DB >> 20193130

Transcript profiling of expressed sequence tags from intramuscular fat, longissimus dorsi muscle and liver in Korean cattle (Hanwoo).

Dajeong Lim1, Seung Hwan Lee, Yong Min Cho, Duhak Yoon, Younhee Shin, Kyu Won Kim, Hye Sun Park, Heebal Kim.   

Abstract

A large data set of Hanwoo (Korean cattle) ESTs was analyzed to obtain differential gene expression results for the following three libraries: intramuscular fat, longissimus dorsi muscle and liver. To better understand the gene expression profiles, we identified differentially expressed genes (DEGs) via digital gene expression analysis. Hierarchical clustering of genes was performed according to their relative abundance within the six separate groups (Hanwoo fat versus non-Hanwoo fat, Hanwoo muscle versus non-Hanwoo muscle and Hanwoo liver versus non-Hanwoo liver), producing detailed patterns of gene expression. We determined the quantitative traits associated with the highly expressed genes. We also provide the first list of putative regulatory elements associated with differential tissue expression in Hanwoo cattle. In addition, we conducted evolutionary analysis that suggests a subset of genes accelerated in the bovine lineage are strongly correlated with their expression in Hanwoo muscle.

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Year:  2010        PMID: 20193130     DOI: 10.5483/bmbrep.2010.43.2.115

Source DB:  PubMed          Journal:  BMB Rep        ISSN: 1976-6696            Impact factor:   4.778


  3 in total

1.  Generation and analysis of expressed sequence tags from the bone marrow of Chinese Sika deer.

Authors:  Baojin Yao; Yu Zhao; Mei Zhang; Juan Li
Journal:  Mol Biol Rep       Date:  2011-06-17       Impact factor: 2.316

2.  Genetic variants and signatures of selective sweep of Hanwoo population (Korean native cattle).

Authors:  Taeheon Lee; Seoae Cho; Kang Seok Seo; Jongsoo Chang; Heebal Kim; Duhak Yoon
Journal:  BMB Rep       Date:  2013-07       Impact factor: 4.778

3.  Computational identification of tissue-specific transcription factor cooperation in ten cattle tissues.

Authors:  Lukas Steuernagel; Cornelia Meckbach; Felix Heinrich; Sebastian Zeidler; Armin O Schmitt; Mehmet Gültas
Journal:  PLoS One       Date:  2019-05-16       Impact factor: 3.240

  3 in total

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