Literature DB >> 31618669

Transcriptomic analysis on the promoter regions discover gene networks involving mastitis in cattle.

Abdolvahab Ebrahimpour Gorji1, Zahra Roudbari2, Balal Sadeghi3, Ali Javadmanesh4, Tomasz Sadkowski5.   

Abstract

Mastitis is one of the costliest diseases in dairy farms caused by infection of different microorganisms such as Escherichia coli, Streptococcus uberis and Staphylococcus aureus. Promoters are significantly involved in regulating gene expression and shedding light on the mechanisms of transcriptional regulation in physiological and immunological processes of the infections. Exploiting regulatory elements such as transcription factor binding sites (TFBSs modules) on the promoter region could reveal co-regulated genes, which allow screating regulatory models and executing a cross-sectional analysis on several databases. In this study, the promoter regions of 11 genes associated with contagious mastitis including CCL4, CXCL8, STAT3, IKBKB, MAPK14, NFKBIA, NFKB1, TNF, IL18, IL6, and HCK were investigated to predict the activating regulatory modules on promoters and to discover the key related transcription factors. By exploring the promoter regions, 228 genes were discovered comprising the same transcription factors modules. Out of 228 genes, 36 were validated using five microarray datasets. The promoter research of these genes revealed that as many as 7 down-regulated and 12 up-regulated genes are predictable in the network. The genes whose functions were associated with the initial gene list (11 genes), were identified by DAVID queries with TFBSs models implying that the approach provides a clear image of the underlying regulatory mechanism of gene expression profile and offers a novel approach in designing gene networks in cattle.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Gene expression; Gene ontology; Mastitis; Transcription factor binding site

Mesh:

Substances:

Year:  2019        PMID: 31618669     DOI: 10.1016/j.micpath.2019.103801

Source DB:  PubMed          Journal:  Microb Pathog        ISSN: 0882-4010            Impact factor:   3.738


  2 in total

1.  Identification of Key Genes and Potential Pathways Associated with Mastitis Induced by E. coli.

Authors:  Elham Darang; Zahra Pezeshkian; Seyed Ziaeddin Mirhoseini; Shahrokh Ghovvati
Journal:  Biochem Genet       Date:  2022-07-14       Impact factor: 2.220

Review 2.  Genome-wide selection signatures detection in Shanghai Holstein cattle population identified genes related to adaption, health and reproduction traits.

Authors:  Dengying Liu; Zhenliang Chen; Wei Zhao; Longyu Guo; Hao Sun; Kai Zhu; Guanglei Liu; Xiuping Shen; Xiaoduo Zhao; Qishan Wang; Peipei Ma; Yuchun Pan
Journal:  BMC Genomics       Date:  2021-10-15       Impact factor: 3.969

  2 in total

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