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Proteomic analysis of streptomycin resistant and sensitive clinical isolates of Mycobacterium tuberculosis
BACKGROUND: Streptomycin (SM) is a broad spectrum antibiotic and is an important component of any anti-tuberculosis therapy regimen. Several mechanisms have been proposed to explain the emergence of resistance but still our knowledge is inadequate. Proteins form a very complex network and drugs are...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2998474/ https://www.ncbi.nlm.nih.gov/pubmed/21083941 http://dx.doi.org/10.1186/1477-5956-8-59 |
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author | Sharma, Prashant Kumar, Bhavnesh Gupta, Yash Singhal, Neelja Katoch, Vishwa Mohan Venkatesan, Krishnamurthy Bisht, Deepa |
author_facet | Sharma, Prashant Kumar, Bhavnesh Gupta, Yash Singhal, Neelja Katoch, Vishwa Mohan Venkatesan, Krishnamurthy Bisht, Deepa |
author_sort | Sharma, Prashant |
collection | PubMed |
description | BACKGROUND: Streptomycin (SM) is a broad spectrum antibiotic and is an important component of any anti-tuberculosis therapy regimen. Several mechanisms have been proposed to explain the emergence of resistance but still our knowledge is inadequate. Proteins form a very complex network and drugs are countered by their modification/efflux or over expression/modification of targets. As proteins manifest most of the biological processes, these are attractive targets for developing drugs, immunodiagnostics or therapeutics. The aim of present study was to analyze and compare the protein profile of whole cell extracts from Mycobacterium tuberculosis clinical isolates susceptible and resistant to SM. RESULTS: Two-dimensional gel electrophoresis (2DE) and matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry was employed for analyzing the protein profiles. Homology and in silico characterization for identified proteins was assessed using BLAST, InterProScan and KEGG database searches. Computational studies on the possible interactions between SM and identified proteins were carried out by a battery of online servers and softwares, namely, CLUSTALW (KEGG), I-TASSER, VMD, PatchDock and FireDock. On comparing 2DE patterns, nine proteins were found consistently overexpressed in SM resistant isolates and were identified as Rv0350, Rv0440, Rv1240, Rv3075c, Rv2971, Rv3028c, Rv2145c, Rv2031c and Rv0569. In silico docking analysis showed significant interactions of SM with essential (Rv0350, Rv0440 and Rv2971) and non essential (Rv1240, Rv3075c and Rv2031c) genes. CONCLUSIONS: The computational results suggest high protein binding affinity of SM and suggested many possible interactions between identified proteins and the drug. Bioinformatic analysis proves attributive for analysis of diversity of proteins identified by whole proteome analysis. In-depth study of the these proteins will give an insight into probable sites of drug action other than established primary sites and hence may help in search of novel chemotherapeutic agents at these new sites as inhibitors. |
format | Text |
id | pubmed-2998474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-29984742010-12-08 Proteomic analysis of streptomycin resistant and sensitive clinical isolates of Mycobacterium tuberculosis Sharma, Prashant Kumar, Bhavnesh Gupta, Yash Singhal, Neelja Katoch, Vishwa Mohan Venkatesan, Krishnamurthy Bisht, Deepa Proteome Sci Research BACKGROUND: Streptomycin (SM) is a broad spectrum antibiotic and is an important component of any anti-tuberculosis therapy regimen. Several mechanisms have been proposed to explain the emergence of resistance but still our knowledge is inadequate. Proteins form a very complex network and drugs are countered by their modification/efflux or over expression/modification of targets. As proteins manifest most of the biological processes, these are attractive targets for developing drugs, immunodiagnostics or therapeutics. The aim of present study was to analyze and compare the protein profile of whole cell extracts from Mycobacterium tuberculosis clinical isolates susceptible and resistant to SM. RESULTS: Two-dimensional gel electrophoresis (2DE) and matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry was employed for analyzing the protein profiles. Homology and in silico characterization for identified proteins was assessed using BLAST, InterProScan and KEGG database searches. Computational studies on the possible interactions between SM and identified proteins were carried out by a battery of online servers and softwares, namely, CLUSTALW (KEGG), I-TASSER, VMD, PatchDock and FireDock. On comparing 2DE patterns, nine proteins were found consistently overexpressed in SM resistant isolates and were identified as Rv0350, Rv0440, Rv1240, Rv3075c, Rv2971, Rv3028c, Rv2145c, Rv2031c and Rv0569. In silico docking analysis showed significant interactions of SM with essential (Rv0350, Rv0440 and Rv2971) and non essential (Rv1240, Rv3075c and Rv2031c) genes. CONCLUSIONS: The computational results suggest high protein binding affinity of SM and suggested many possible interactions between identified proteins and the drug. Bioinformatic analysis proves attributive for analysis of diversity of proteins identified by whole proteome analysis. In-depth study of the these proteins will give an insight into probable sites of drug action other than established primary sites and hence may help in search of novel chemotherapeutic agents at these new sites as inhibitors. BioMed Central 2010-11-18 /pmc/articles/PMC2998474/ /pubmed/21083941 http://dx.doi.org/10.1186/1477-5956-8-59 Text en Copyright ©2010 Sharma et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Sharma, Prashant Kumar, Bhavnesh Gupta, Yash Singhal, Neelja Katoch, Vishwa Mohan Venkatesan, Krishnamurthy Bisht, Deepa Proteomic analysis of streptomycin resistant and sensitive clinical isolates of Mycobacterium tuberculosis |
title | Proteomic analysis of streptomycin resistant and sensitive clinical isolates of Mycobacterium tuberculosis |
title_full | Proteomic analysis of streptomycin resistant and sensitive clinical isolates of Mycobacterium tuberculosis |
title_fullStr | Proteomic analysis of streptomycin resistant and sensitive clinical isolates of Mycobacterium tuberculosis |
title_full_unstemmed | Proteomic analysis of streptomycin resistant and sensitive clinical isolates of Mycobacterium tuberculosis |
title_short | Proteomic analysis of streptomycin resistant and sensitive clinical isolates of Mycobacterium tuberculosis |
title_sort | proteomic analysis of streptomycin resistant and sensitive clinical isolates of mycobacterium tuberculosis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2998474/ https://www.ncbi.nlm.nih.gov/pubmed/21083941 http://dx.doi.org/10.1186/1477-5956-8-59 |
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