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Dynamic Modularity of Host Protein Interaction Networks in Salmonella Typhi Infection

BACKGROUND: Salmonella Typhi is a human-restricted pathogen, which causes typhoid fever and remains a global health problem in the developing countries. Although previously reported host expression datasets had identified putative biomarkers and therapeutic targets of typhoid fever, the underlying m...

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Autores principales: Dhal, Paltu Kumar, Barman, Ranjan Kumar, Saha, Sudipto, Das, Santasabuj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4140748/
https://www.ncbi.nlm.nih.gov/pubmed/25144185
http://dx.doi.org/10.1371/journal.pone.0104911
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author Dhal, Paltu Kumar
Barman, Ranjan Kumar
Saha, Sudipto
Das, Santasabuj
author_facet Dhal, Paltu Kumar
Barman, Ranjan Kumar
Saha, Sudipto
Das, Santasabuj
author_sort Dhal, Paltu Kumar
collection PubMed
description BACKGROUND: Salmonella Typhi is a human-restricted pathogen, which causes typhoid fever and remains a global health problem in the developing countries. Although previously reported host expression datasets had identified putative biomarkers and therapeutic targets of typhoid fever, the underlying molecular mechanism of pathogenesis remains incompletely understood. METHODS: We used five gene expression datasets of human peripheral blood from patients suffering from S. Typhi or other bacteremic infections or non-infectious disease like leukemia. The expression datasets were merged into human protein interaction network (PIN) and the expression correlation between the hubs and their interacting proteins was measured by calculating Pearson Correlation Coefficient (PCC) values. The differences in the average PCC for each hub between the disease states and their respective controls were calculated for studied datasets. The individual hubs and their interactors with expression, PCC and average PCC values were treated as dynamic subnetworks. The hubs that showed unique trends of alterations specific to S. Typhi infection were identified. RESULTS: We identified S. Typhi infection-specific dynamic subnetworks of the host, which involve 81 hubs and 1343 interactions. The major enriched GO biological process terms in the identified subnetworks were regulation of apoptosis and biological adhesions, while the enriched pathways include cytokine signalling in the immune system and downstream TCR signalling. The dynamic nature of the hubs CCR1, IRS2 and PRKCA with their interactors was studied in detail. The difference in the dynamics of the subnetworks specific to S. Typhi infection suggests a potential molecular model of typhoid fever. CONCLUSIONS: Hubs and their interactors of the S. Typhi infection-specific dynamic subnetworks carrying distinct PCC values compared with the non-typhoid and other disease conditions reveal new insight into the pathogenesis of S. Typhi.
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spelling pubmed-41407482014-08-25 Dynamic Modularity of Host Protein Interaction Networks in Salmonella Typhi Infection Dhal, Paltu Kumar Barman, Ranjan Kumar Saha, Sudipto Das, Santasabuj PLoS One Research Article BACKGROUND: Salmonella Typhi is a human-restricted pathogen, which causes typhoid fever and remains a global health problem in the developing countries. Although previously reported host expression datasets had identified putative biomarkers and therapeutic targets of typhoid fever, the underlying molecular mechanism of pathogenesis remains incompletely understood. METHODS: We used five gene expression datasets of human peripheral blood from patients suffering from S. Typhi or other bacteremic infections or non-infectious disease like leukemia. The expression datasets were merged into human protein interaction network (PIN) and the expression correlation between the hubs and their interacting proteins was measured by calculating Pearson Correlation Coefficient (PCC) values. The differences in the average PCC for each hub between the disease states and their respective controls were calculated for studied datasets. The individual hubs and their interactors with expression, PCC and average PCC values were treated as dynamic subnetworks. The hubs that showed unique trends of alterations specific to S. Typhi infection were identified. RESULTS: We identified S. Typhi infection-specific dynamic subnetworks of the host, which involve 81 hubs and 1343 interactions. The major enriched GO biological process terms in the identified subnetworks were regulation of apoptosis and biological adhesions, while the enriched pathways include cytokine signalling in the immune system and downstream TCR signalling. The dynamic nature of the hubs CCR1, IRS2 and PRKCA with their interactors was studied in detail. The difference in the dynamics of the subnetworks specific to S. Typhi infection suggests a potential molecular model of typhoid fever. CONCLUSIONS: Hubs and their interactors of the S. Typhi infection-specific dynamic subnetworks carrying distinct PCC values compared with the non-typhoid and other disease conditions reveal new insight into the pathogenesis of S. Typhi. Public Library of Science 2014-08-21 /pmc/articles/PMC4140748/ /pubmed/25144185 http://dx.doi.org/10.1371/journal.pone.0104911 Text en © 2014 Dhal et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Dhal, Paltu Kumar
Barman, Ranjan Kumar
Saha, Sudipto
Das, Santasabuj
Dynamic Modularity of Host Protein Interaction Networks in Salmonella Typhi Infection
title Dynamic Modularity of Host Protein Interaction Networks in Salmonella Typhi Infection
title_full Dynamic Modularity of Host Protein Interaction Networks in Salmonella Typhi Infection
title_fullStr Dynamic Modularity of Host Protein Interaction Networks in Salmonella Typhi Infection
title_full_unstemmed Dynamic Modularity of Host Protein Interaction Networks in Salmonella Typhi Infection
title_short Dynamic Modularity of Host Protein Interaction Networks in Salmonella Typhi Infection
title_sort dynamic modularity of host protein interaction networks in salmonella typhi infection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4140748/
https://www.ncbi.nlm.nih.gov/pubmed/25144185
http://dx.doi.org/10.1371/journal.pone.0104911
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