Literature DB >> 20596835

Microarray analysis of gene expression profiles in the bovine mammary gland during lactation.

XiaoMing Hou1, QingZhang Li, TianYing Huang.   

Abstract

Mammary glands undergo functional and metabolic changes during virgin, lactation and dry periods. A total of 122 genes were identified as differentially expressed, including 79 up-regulated and 43 down-regulated genes during lactation compared with virgin and dry periods. Gene ontology analysis showed the functional classification of the up-regulated genes in lactation, including transport, biosynthetic process, signal transduction, catalytic activity, immune system process, cell death, and positive regulation of the developmental process. Microarray data clarified molecular events in bovine mammary gland lactation.

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Year:  2010        PMID: 20596835     DOI: 10.1007/s11427-010-0034-3

Source DB:  PubMed          Journal:  Sci China Life Sci        ISSN: 1674-7305            Impact factor:   6.038


  5 in total

1.  Responses of the mammary transcriptome of dairy cows to altered photoperiod during late gestation.

Authors:  P A Bentley; E H Wall; G E Dahl; T B McFadden
Journal:  Physiol Genomics       Date:  2015-07-14       Impact factor: 3.107

2.  Establishing gene Amelogenin as sex-specific marker in yak by genomic approach.

Authors:  P P Das; G Krishnan; J Doley; D Bhattacharya; S M Deb; P Chakravarty; P J Das
Journal:  J Genet       Date:  2019-03       Impact factor: 1.166

3.  Differential expression of genes in milk of dairy cattle during lactation.

Authors:  Jie Yang; Jicai Jiang; Xuan Liu; Haifei Wang; Gang Guo; Qin Zhang; Li Jiang
Journal:  Anim Genet       Date:  2015-12-22       Impact factor: 3.169

4.  Transcriptional profiling of two different physiological states of the yak mammary gland using RNA sequencing.

Authors:  Fan Jiangfeng; Luo Yuzhu; Yu Sijiu; Cui Yan; Xu Gengquan; Wang Libin; Pan Yangyang; He Honghong
Journal:  PLoS One       Date:  2018-07-30       Impact factor: 3.240

5.  Application of Top-Down and Bottom-up Systems Approaches in Ruminant Physiology and Metabolism.

Authors:  Khuram Shahzad; Juan J Loor
Journal:  Curr Genomics       Date:  2012-08       Impact factor: 2.236

  5 in total

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