Literature DB >> 25388844

Gene and Protein Network Analysis of AmpC β Lactamase.

P Anitha1, Susmita Bag1, Anand Anbarasu1, Sudha Ramaiah2.   

Abstract

AmpC β-lactamase is a cephalosporinase, which exhibits resistance against all existing β-lactam antibiotics except carbapenems. Their occurrence in many bacterial pathogens poses a threat to public health and is a growing concern in the medical world. The ampC gene is highly inducible in the presence of β-lactam antibiotics and can be expressed in high levels due to mutation. This inducible expression is regulated by several functional genes. Several studies on functional relationship of these genes and its resistance mechanisms are carried out but it still lacks comprehensible evidences. Thus, in our current study, we used computational gene networks to analyze ampC gene. Based on its interaction type, co-expression, Gene Ontology, and text mining, a functional interaction network is constructed. Around 247 functional genes in 15 different bacterial genus have a functional association with ampC gene. It is predicted that 19.8% ampD, 13.3% frdD, 8.5% gcvA, 2.4% ampR, and 55.7% of other functional partners are associated with ampC gene. Our present study provides a glimpse about the functional gene network of ampC gene and also provides the integrated evidence for ampC gene in regulating the β-lactamase production and its role in antibiotic resistance.

Entities:  

Keywords:  AmpC β-lactamases; Gene regulatory networks; Molecular sequence annotation

Mesh:

Substances:

Year:  2015        PMID: 25388844     DOI: 10.1007/s12013-014-0379-5

Source DB:  PubMed          Journal:  Cell Biochem Biophys        ISSN: 1085-9195            Impact factor:   2.194


  4 in total

1.  Panel strain of Klebsiella pneumoniae for beta-lactam antibiotic evaluation: their phenotypic and genotypic characterization.

Authors:  Roshan Dsouza; Naina Adren Pinto; InSik Hwang; YoungLag Cho; Dongeun Yong; Jongrak Choi; Kyungwon Lee; Yunsop Chong
Journal:  PeerJ       Date:  2017-01-19       Impact factor: 2.984

2.  Network analysis of atherosclerotic genes elucidates druggable targets.

Authors:  Sheuli Kangsa Banik; Somorita Baishya; Anupam Das Talukdar; Manabendra Dutta Choudhury
Journal:  BMC Med Genomics       Date:  2022-03-03       Impact factor: 3.063

3.  Amalgamation of 3D structure and sequence information for protein-protein interaction prediction.

Authors:  Kanchan Jha; Sriparna Saha
Journal:  Sci Rep       Date:  2020-11-05       Impact factor: 4.379

4.  Role of AmpC-Inducing Genes in Modulating Other Serine Beta-Lactamases in Escherichia coli.

Authors:  Dhriti Mallik; Diamond Jain; Sanjib Bhakta; Anindya Sundar Ghosh
Journal:  Antibiotics (Basel)       Date:  2022-01-06
  4 in total

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