PMID- 33095750
OWN - NLM
STAT- MEDLINE
DCOM- 20211008
LR  - 20220218
IS  - 1751-8857 (Electronic)
IS  - 1751-8849 (Print)
IS  - 1751-8849 (Linking)
VI  - 14
IP  - 5
DP  - 2020 Oct
TI  - Identification of robust genes in transcriptional regulatory network of 
      Mycobacterium tuberculosis.
PG  - 292-296
LID - 10.1049/iet-syb.2020.0039 [doi]
AB  - About 30% of the world population is infected with Mycobacterium tuberculosis 
      (MTB). It is well known that the gene expression in MTB is highly variable, thus 
      screening of traditional single-gene in MTB has been incapable to meet the 
      desires of clinical diagnosis. In this report, the authors systemically analysed 
      the transcription regulatory network (TRN) in MTB H37Rv. The complex interplay of 
      these gene interactions has been revealed using exhaustive topological and global 
      analysis of TRN using parameters including indegree, outdegree, degree, directed 
      and undirected average path length (APL), and randomly performed. Results from 
      indegree analysis reveal a set of important genes, including papA5 and Rv0177 
      which are associated with high indegree values. Gene ontology analysis suggested 
      their importance in the virulence of MTB. In addition, APL and analysis of highly 
      significant genes further identified some critical genes with different APL 
      values. Among the list of genes identified, the csoR gene has the shortest 
      directed APL score and high outdegree value, thus suggesting their importance in 
      maintaining network topology. This study provides a comprehensive analysis of TRN 
      and offers a good basis of understanding for developing experimental study in 
      search of new therapeutic targets against MTB H37Rv pathogen.
FAU - Singh, Prithvi
AU  - Singh P
AD  - Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, 
      New Delhi 110025, India.
FAU - Amir, Mohd
AU  - Amir M
AD  - Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, 
      New Delhi 110025, India.
FAU - Chaudhary, Upasana
AU  - Chaudhary U
AD  - Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, 
      New Delhi 110025, India.
FAU - Ahmad, Fozail
AU  - Ahmad F
AD  - Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, 
      New Delhi 110025, India.
FAU - Bhatt, Sachin
AU  - Bhatt S
AD  - Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, 
      New Delhi 110025, India.
FAU - Sankhwar, Shweta
AU  - Sankhwar S
AD  - Department of Information Technology, Babasaheb Bhimrao Ambedkar University, 
      Lucknow 226025, India.
FAU - Dohare, Ravins
AU  - Dohare R
AD  - Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, 
      New Delhi 110025, India. ravinsdohare@gmail.com.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - England
TA  - IET Syst Biol
JT  - IET systems biology
JID - 101301198
SB  - IM
MH  - *Computational Biology
MH  - *Gene Regulatory Networks
MH  - Genes, Bacterial/*genetics
MH  - Mycobacterium tuberculosis/*genetics
PMC - PMC8687171
EDAT- 2020/10/24 06:00
MHDA- 2021/10/09 06:00
PMCR- 2020/09/21
CRDT- 2020/10/23 17:09
PHST- 2020/10/23 17:09 [entrez]
PHST- 2020/10/24 06:00 [pubmed]
PHST- 2021/10/09 06:00 [medline]
PHST- 2020/09/21 00:00 [pmc-release]
AID - SYB2BF00211 [pii]
AID - 10.1049/iet-syb.2020.0039 [doi]
PST - ppublish
SO  - IET Syst Biol. 2020 Oct;14(5):292-296. doi: 10.1049/iet-syb.2020.0039.