Literature DB >> 33420198

Elucidating the network features and evolutionary attributes of intra- and interspecific protein-protein interactions between human and pathogenic bacteria.

Debarun Acharya1, Tapan K Dutta2.   

Abstract

Host-pathogen interaction is one of the most powerful determinants involved in coevolutionary processes covering a broad range of biological phenomena at molecular, cellular, organismal and/or population level. The present study explored host-pathogen interaction from the perspective of human-bacteria protein-protein interaction based on large-scale interspecific and intraspecific interactome data for human and three pathogenic bacterial species, Bacillus anthracis, Francisella tularensis and Yersinia pestis. The network features revealed a preferential enrichment of intraspecific hubs and bottlenecks for both human and bacterial pathogens in the interspecific human-bacteria interaction. Analyses unveiled that these bacterial pathogens interact mostly with human party-hubs that may enable them to affect desired functional modules, leading to pathogenesis. Structural features of pathogen-interacting human proteins indicated an abundance of protein domains, providing opportunities for interspecific domain-domain interactions. Moreover, these interactions do not always occur with high-affinity, as we observed that bacteria-interacting human proteins are rich in protein-disorder content, which correlates positively with the number of interacting pathogen proteins, facilitating low-affinity interspecific interactions. Furthermore, functional analyses of pathogen-interacting human proteins revealed an enrichment in regulation of processes like metabolism, immune system, cellular localization and transport apart from divulging functional competence to bind enzyme/protein, nucleic acids and cell adhesion molecules, necessary for host-microbial cross-talk.

Entities:  

Year:  2021        PMID: 33420198      PMCID: PMC7794237          DOI: 10.1038/s41598-020-80549-x

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  56 in total

1.  Evidence for dynamically organized modularity in the yeast protein-protein interaction network.

Authors:  Jing-Dong J Han; Nicolas Bertin; Tong Hao; Debra S Goldberg; Gabriel F Berriz; Lan V Zhang; Denis Dupuy; Albertha J M Walhout; Michael E Cusick; Frederick P Roth; Marc Vidal
Journal:  Nature       Date:  2004-06-09       Impact factor: 49.962

2.  Comparative genomics of centrality and essentiality in three eukaryotic protein-interaction networks.

Authors:  Matthew W Hahn; Andrew D Kern
Journal:  Mol Biol Evol       Date:  2004-12-22       Impact factor: 16.240

3.  mentha: a resource for browsing integrated protein-interaction networks.

Authors:  Alberto Calderone; Luisa Castagnoli; Gianni Cesareni
Journal:  Nat Methods       Date:  2013-08       Impact factor: 28.547

4.  PHISTO: pathogen-host interaction search tool.

Authors:  Saliha Durmuş Tekir; Tunahan Çakır; Emre Ardiç; Ali Semih Sayılırbaş; Gökhan Konuk; Mithat Konuk; Hasret Sarıyer; Azat Uğurlu; İlknur Karadeniz; Arzucan Özgür; Fatih Erdoğan Sevilgen; Kutlu Ö Ülgen
Journal:  Bioinformatics       Date:  2013-03-20       Impact factor: 6.937

5.  Insights into human intrinsically disordered proteins from their gene expression profile.

Authors:  Arup Panda; Debarun Acharya; Tapash Chandra Ghosh
Journal:  Mol Biosyst       Date:  2017-11-21

6.  High-Resolution CRISPR Screens Reveal Fitness Genes and Genotype-Specific Cancer Liabilities.

Authors:  Traver Hart; Megha Chandrashekhar; Michael Aregger; Zachary Steinhart; Kevin R Brown; Graham MacLeod; Monika Mis; Michal Zimmermann; Amelie Fradet-Turcotte; Song Sun; Patricia Mero; Peter Dirks; Sachdev Sidhu; Frederick P Roth; Olivia S Rissland; Daniel Durocher; Stephane Angers; Jason Moffat
Journal:  Cell       Date:  2015-11-25       Impact factor: 41.582

7.  MINT: the Molecular INTeraction database.

Authors:  Andrew Chatr-aryamontri; Arnaud Ceol; Luisa Montecchi Palazzi; Giuliano Nardelli; Maria Victoria Schneider; Luisa Castagnoli; Gianni Cesareni
Journal:  Nucleic Acids Res       Date:  2006-11-29       Impact factor: 16.971

8.  APID: Agile Protein Interaction DataAnalyzer.

Authors:  Carlos Prieto; Javier De Las Rivas
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

9.  Proteome-wide analysis of human motif-domain interactions mapped on influenza a virus.

Authors:  Carlos A García-Pérez; Xianwu Guo; Juan García Navarro; Diego Alonso Gómez Aguilar; Edgar E Lara-Ramírez
Journal:  BMC Bioinformatics       Date:  2018-06-25       Impact factor: 3.169

10.  GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists.

Authors:  Eran Eden; Roy Navon; Israel Steinfeld; Doron Lipson; Zohar Yakhini
Journal:  BMC Bioinformatics       Date:  2009-02-03       Impact factor: 3.169

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  1 in total

Review 1.  Computational Network Inference for Bacterial Interactomics.

Authors:  Katherine James; Jose Muñoz-Muñoz
Journal:  mSystems       Date:  2022-03-30       Impact factor: 7.324

  1 in total

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