Transcriptomic analysis on the promoter regions discover gene networks involving mastitis in cattle.
Gene expression
Gene ontology
Mastitis
Transcription factor binding site
Journal
Microbial pathogenesis
ISSN: 1096-1208
Titre abrégé: Microb Pathog
Pays: England
ID NLM: 8606191
Informations de publication
Date de publication:
Dec 2019
Dec 2019
Historique:
received:
08
05
2019
revised:
27
06
2019
accepted:
11
10
2019
pubmed:
17
10
2019
medline:
19
3
2020
entrez:
17
10
2019
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 31618669
pii: S0882-4010(19)30805-8
doi: 10.1016/j.micpath.2019.103801
pii:
doi:
Substances chimiques
Transcription Factors
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
103801Informations de copyright
Copyright © 2019 Elsevier Ltd. All rights reserved.