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

Author:
Abdolvahab Ebrahimpour Gorji
,
Zahra Roudbari
,
Balal Sadeghi
,
علی جوادمنش
,
Tomasz Sadkowski
,
Abdolvahab Ebrahimpour Gorji
,
Zahra Roudbari
,
Balal Sadeghi
,
Ali Javadmanesh
,
Tomasz Sadkowski
Year
: 2019
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 play an essential role in controlling gene expression and understanding the mechanisms
of transcriptional regulation involved in physiological and immunological processes involved in
infections. Exploiting regulatory elements such as transcription factor binding sites (TFBSs
modules) on the promoter region could reveal co-regulated genes allowing to create regulatory
models and to execute 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 also to discover the key related transcription factors. By
exploring the promoter regions, 228 genes were discovered comprising the same transcription
factors modules. Thirty six out of 228 genes 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. This implies that the
approach provides a clear image on the underlying regulatory mechanism of gene expression profile
and also offers a novel approach in designing gene networks in cattle.
DOI: 10.1016/j.micpath.2019.103801
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/3368919
Keyword(s): Mastitis,Transcription factor binding site,Gene ontology,Gene expression
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    Transcriptomic analysis on the promoter regions discover gene networks involving mastitis in cattle

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contributor authorAbdolvahab Ebrahimpour Gorjien
contributor authorZahra Roudbarien
contributor authorBalal Sadeghien
contributor authorعلی جوادمنشen
contributor authorTomasz Sadkowskien
contributor authorAbdolvahab Ebrahimpour Gorjifa
contributor authorZahra Roudbarifa
contributor authorBalal Sadeghifa
contributor authorAli Javadmaneshfa
contributor authorTomasz Sadkowskifa
date accessioned2020-06-06T13:47:08Z
date available2020-06-06T13:47:08Z
date issued2019
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/3368919
description abstractMastitis 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 play an essential role in controlling gene expression and understanding the mechanisms
of transcriptional regulation involved in physiological and immunological processes involved in
infections. Exploiting regulatory elements such as transcription factor binding sites (TFBSs
modules) on the promoter region could reveal co-regulated genes allowing to create regulatory
models and to execute 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 also to discover the key related transcription factors. By
exploring the promoter regions, 228 genes were discovered comprising the same transcription
factors modules. Thirty six out of 228 genes 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. This implies that the
approach provides a clear image on the underlying regulatory mechanism of gene expression profile
and also offers a novel approach in designing gene networks in cattle.
en
languageEnglish
titleTranscriptomic analysis on the promoter regions discover gene networks involving mastitis in cattleen
typeJournal Paper
contenttypeExternal Fulltext
subject keywordsMastitisen
subject keywordsTranscription factor binding siteen
subject keywordsGene ontologyen
subject keywordsGene expressionen
identifier doi10.1016/j.micpath.2019.103801
journal titleMicobial Pathogenesisfa
pages103801-1038027
journal volume137
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1076322.html
identifier articleid1076322
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