A whole genome bioinformatic approach to determine potential latent phase specific targets in Mycobacterium tuberculosis

Summary Current Tuberculosis treatment is long and expensive, faces the increasing burden of MDR/XDR strains and lack of effective treatment against latent form, resulting in an urgent need of new anti-TB drugs. Key to TB biology is its capacity to fight the host's RNOS mediated attack. RNOS ar...

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Autores principales:	Defelipe, L.A., Do Porto, D.F., Pereira Ramos, P.I., Nicolás, M.F., Sosa, E., Radusky, L., Lanzarotti, E., Turjanski, A.G., Marti, M.A.
Formato:	JOUR
Materias:	Latent phase Mycobacterium tuberculosis Reactive oxygen and nitrogen species (RNOS) Structural bioinformatics proteome bacterial protein reactive nitrogen species reactive oxygen metabolite tuberculostatic agent amino acid sequence Article bacterial metabolism bactericidal activity bioinformatics controlled study genome infection meta analysis (topic) microarray analysis nonhuman oxidative stress priority journal sensitivity analysis stress structural homology animal bacterial genome biology C57BL mouse DNA microarray drug development drug effects gene expression profiling genetic database genetics genome-wide association study host pathogen interaction human latent tuberculosis meta analysis metabolism microbial viability microbiology molecularly targeted therapy pathogenicity procedures protein protein interaction signal transduction Animals Antitubercular Agents Bacterial Proteins Computational Biology Databases, Genetic Drug Discovery Gene Expression Profiling Genome, Bacterial Genome-Wide Association Study Host-Pathogen Interactions Humans Latent Tuberculosis Mice, Inbred C57BL Microbial Viability Molecular Targeted Therapy Oligonucleotide Array Sequence Analysis Protein Interaction Maps Reactive Nitrogen Species Reactive Oxygen Species Signal Transduction
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_14729792_v97_n_p181_Defelipe
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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spelling	todo:paper_14729792_v97_n_p181_Defelipe2023-10-03T16:18:11Z A whole genome bioinformatic approach to determine potential latent phase specific targets in Mycobacterium tuberculosis Defelipe, L.A. Do Porto, D.F. Pereira Ramos, P.I. Nicolás, M.F. Sosa, E. Radusky, L. Lanzarotti, E. Turjanski, A.G. Marti, M.A. Latent phase Mycobacterium tuberculosis Reactive oxygen and nitrogen species (RNOS) Structural bioinformatics proteome bacterial protein reactive nitrogen species reactive oxygen metabolite tuberculostatic agent amino acid sequence Article bacterial metabolism bactericidal activity bioinformatics controlled study genome infection meta analysis (topic) microarray analysis Mycobacterium tuberculosis nonhuman oxidative stress priority journal sensitivity analysis stress structural homology animal bacterial genome biology C57BL mouse DNA microarray drug development drug effects gene expression profiling genetic database genetics genome-wide association study host pathogen interaction human latent tuberculosis meta analysis metabolism microbial viability microbiology molecularly targeted therapy Mycobacterium tuberculosis pathogenicity procedures protein protein interaction signal transduction Animals Antitubercular Agents Bacterial Proteins Computational Biology Databases, Genetic Drug Discovery Gene Expression Profiling Genome, Bacterial Genome-Wide Association Study Host-Pathogen Interactions Humans Latent Tuberculosis Mice, Inbred C57BL Microbial Viability Molecular Targeted Therapy Mycobacterium tuberculosis Oligonucleotide Array Sequence Analysis Protein Interaction Maps Reactive Nitrogen Species Reactive Oxygen Species Signal Transduction Summary Current Tuberculosis treatment is long and expensive, faces the increasing burden of MDR/XDR strains and lack of effective treatment against latent form, resulting in an urgent need of new anti-TB drugs. Key to TB biology is its capacity to fight the host's RNOS mediated attack. RNOS are known to display a concentration dependent mycobactericidal activity, which leads to the following hypothesis "if we know which proteins are targeted by RNOS and kill TB, we we might be able to inhibit them with drugs resulting in a synergistic bactericidal effect". Based on this idea, we performed an Mtb metabolic network whole proteome analysis of potential RNOS sensitive and relevant targets which includes target druggability and essentiality criteria. Our results, available at http://tuberq.proteinq.com.ar yield new potential TB targets, like I3PS, while also providing and updated view of previous proposals becoming an important tool for researchers looking for new ways of killing TB. © 2015 Elsevier Ltd. All rights reserved. Fil:Defelipe, L.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Turjanski, A.G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Marti, M.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_14729792_v97_n_p181_Defelipe
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Latent phase Mycobacterium tuberculosis Reactive oxygen and nitrogen species (RNOS) Structural bioinformatics proteome bacterial protein reactive nitrogen species reactive oxygen metabolite tuberculostatic agent amino acid sequence Article bacterial metabolism bactericidal activity bioinformatics controlled study genome infection meta analysis (topic) microarray analysis Mycobacterium tuberculosis nonhuman oxidative stress priority journal sensitivity analysis stress structural homology animal bacterial genome biology C57BL mouse DNA microarray drug development drug effects gene expression profiling genetic database genetics genome-wide association study host pathogen interaction human latent tuberculosis meta analysis metabolism microbial viability microbiology molecularly targeted therapy Mycobacterium tuberculosis pathogenicity procedures protein protein interaction signal transduction Animals Antitubercular Agents Bacterial Proteins Computational Biology Databases, Genetic Drug Discovery Gene Expression Profiling Genome, Bacterial Genome-Wide Association Study Host-Pathogen Interactions Humans Latent Tuberculosis Mice, Inbred C57BL Microbial Viability Molecular Targeted Therapy Mycobacterium tuberculosis Oligonucleotide Array Sequence Analysis Protein Interaction Maps Reactive Nitrogen Species Reactive Oxygen Species Signal Transduction
spellingShingle	Latent phase Mycobacterium tuberculosis Reactive oxygen and nitrogen species (RNOS) Structural bioinformatics proteome bacterial protein reactive nitrogen species reactive oxygen metabolite tuberculostatic agent amino acid sequence Article bacterial metabolism bactericidal activity bioinformatics controlled study genome infection meta analysis (topic) microarray analysis Mycobacterium tuberculosis nonhuman oxidative stress priority journal sensitivity analysis stress structural homology animal bacterial genome biology C57BL mouse DNA microarray drug development drug effects gene expression profiling genetic database genetics genome-wide association study host pathogen interaction human latent tuberculosis meta analysis metabolism microbial viability microbiology molecularly targeted therapy Mycobacterium tuberculosis pathogenicity procedures protein protein interaction signal transduction Animals Antitubercular Agents Bacterial Proteins Computational Biology Databases, Genetic Drug Discovery Gene Expression Profiling Genome, Bacterial Genome-Wide Association Study Host-Pathogen Interactions Humans Latent Tuberculosis Mice, Inbred C57BL Microbial Viability Molecular Targeted Therapy Mycobacterium tuberculosis Oligonucleotide Array Sequence Analysis Protein Interaction Maps Reactive Nitrogen Species Reactive Oxygen Species Signal Transduction Defelipe, L.A. Do Porto, D.F. Pereira Ramos, P.I. Nicolás, M.F. Sosa, E. Radusky, L. Lanzarotti, E. Turjanski, A.G. Marti, M.A. A whole genome bioinformatic approach to determine potential latent phase specific targets in Mycobacterium tuberculosis
topic_facet	Latent phase Mycobacterium tuberculosis Reactive oxygen and nitrogen species (RNOS) Structural bioinformatics proteome bacterial protein reactive nitrogen species reactive oxygen metabolite tuberculostatic agent amino acid sequence Article bacterial metabolism bactericidal activity bioinformatics controlled study genome infection meta analysis (topic) microarray analysis Mycobacterium tuberculosis nonhuman oxidative stress priority journal sensitivity analysis stress structural homology animal bacterial genome biology C57BL mouse DNA microarray drug development drug effects gene expression profiling genetic database genetics genome-wide association study host pathogen interaction human latent tuberculosis meta analysis metabolism microbial viability microbiology molecularly targeted therapy Mycobacterium tuberculosis pathogenicity procedures protein protein interaction signal transduction Animals Antitubercular Agents Bacterial Proteins Computational Biology Databases, Genetic Drug Discovery Gene Expression Profiling Genome, Bacterial Genome-Wide Association Study Host-Pathogen Interactions Humans Latent Tuberculosis Mice, Inbred C57BL Microbial Viability Molecular Targeted Therapy Mycobacterium tuberculosis Oligonucleotide Array Sequence Analysis Protein Interaction Maps Reactive Nitrogen Species Reactive Oxygen Species Signal Transduction
description	Summary Current Tuberculosis treatment is long and expensive, faces the increasing burden of MDR/XDR strains and lack of effective treatment against latent form, resulting in an urgent need of new anti-TB drugs. Key to TB biology is its capacity to fight the host's RNOS mediated attack. RNOS are known to display a concentration dependent mycobactericidal activity, which leads to the following hypothesis "if we know which proteins are targeted by RNOS and kill TB, we we might be able to inhibit them with drugs resulting in a synergistic bactericidal effect". Based on this idea, we performed an Mtb metabolic network whole proteome analysis of potential RNOS sensitive and relevant targets which includes target druggability and essentiality criteria. Our results, available at http://tuberq.proteinq.com.ar yield new potential TB targets, like I3PS, while also providing and updated view of previous proposals becoming an important tool for researchers looking for new ways of killing TB. © 2015 Elsevier Ltd. All rights reserved.
format	JOUR
author	Defelipe, L.A. Do Porto, D.F. Pereira Ramos, P.I. Nicolás, M.F. Sosa, E. Radusky, L. Lanzarotti, E. Turjanski, A.G. Marti, M.A.
author_facet	Defelipe, L.A. Do Porto, D.F. Pereira Ramos, P.I. Nicolás, M.F. Sosa, E. Radusky, L. Lanzarotti, E. Turjanski, A.G. Marti, M.A.
author_sort	Defelipe, L.A.
title	A whole genome bioinformatic approach to determine potential latent phase specific targets in Mycobacterium tuberculosis
title_short	A whole genome bioinformatic approach to determine potential latent phase specific targets in Mycobacterium tuberculosis
title_full	A whole genome bioinformatic approach to determine potential latent phase specific targets in Mycobacterium tuberculosis
title_fullStr	A whole genome bioinformatic approach to determine potential latent phase specific targets in Mycobacterium tuberculosis
title_full_unstemmed	A whole genome bioinformatic approach to determine potential latent phase specific targets in Mycobacterium tuberculosis
title_sort	whole genome bioinformatic approach to determine potential latent phase specific targets in mycobacterium tuberculosis
url	http://hdl.handle.net/20.500.12110/paper_14729792_v97_n_p181_Defelipe
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_version_	1807317649972002816

A whole genome bioinformatic approach to determine potential latent phase specific targets in Mycobacterium tuberculosis

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