Dataset Information

Bordbar2010_Macrophage_Metabolism

ABSTRACT: This is the genome scale metabolic reconstruction of the human alveloar macrophage, iAB-AMØ-1410, described in the article: Insight into human alveolar macrophage and M. tuberculosis interactions via metabolic reconstructions. Bordbar A, Lewis NE, Schellenberger J, Palsson BØ, Jamshidi N. Mol Syst Biol. 2010 Oct 19;6:422. PMID: 20959820 , DOI: 10.1038/msb.2010.68 Abstract: Metabolic coupling of Mycobacterium tuberculosis to its host is foundational to its pathogenesis. Computational genome-scale metabolic models have shown utility in integrating -omic as well as physiologic data for systemic, mechanistic analysis of metabolism. To date, integrative analysis of host-pathogen interactions using in silico mass-balanced, genome-scale models has not been performed. We, therefore, constructed a cell-specific alveolar macrophage model, iAB-AMØ-1410, from the global human metabolic reconstruction, Recon 1. The model successfully predicted experimentally verified ATP and nitric oxide production rates in macrophages. This model was then integrated with an M. tuberculosis H37Rv model, iNJ661, to build an integrated host-pathogen genome-scale reconstruction, iAB-AMØ-1410-Mt-661. The integrated host-pathogen network enables simulation of the metabolic changes during infection. The resulting reaction activity and gene essentiality targets of the integrated model represent an altered infectious state. High-throughput data from infected macrophages were mapped onto the host-pathogen network and were able to describe three distinct pathological states. Integrated host-pathogen reconstructions thus form a foundation upon which understanding the biology and pathophysiology of infections can be developed. This model was downloaded from the supplementary materials ( link ) to the article. To make this file valid SBML the units of all parameters where changed from mmole per gDW per hour to mmole per hour and the empty reactions with the ids R_EX_retpalm_LPAREN_e_RPAREN_ were removed. The model can be used eg. fpr FBA with the COBRA toolbox , amongst others. This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

SUBMITTER: Lukas Endler

PROVIDER: MODEL1011090001 | BioModels | 2005-01-01

REPOSITORIES: BioModels

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Publications

Insight into human alveolar macrophage and M. tuberculosis interactions via metabolic reconstructions.

Bordbar Aarash A Lewis Nathan E NE Schellenberger Jan J Palsson Bernhard Ø BØ Jamshidi Neema N

Molecular systems biology 20101001

Metabolic coupling of Mycobacterium tuberculosis to its host is foundational to its pathogenesis. Computational genome-scale metabolic models have shown utility in integrating -omic as well as physiologic data for systemic, mechanistic analysis of metabolism. To date, integrative analysis of host-pathogen interactions using in silico mass-balanced, genome-scale models has not been performed. We, therefore, constructed a cell-specific alveolar macrophage model, iAB-AMØ-1410, from the global human ...[more]

PMID: 20959820

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Project description:This is the joined genome scale reconstruction of both Mycobacterium tuberculosis and the human alveloar macrophage metabolism, iAB-AMØ-1410-Mt-661, described in the article: Insight into human alveolar macrophage and M. tuberculosis interactions via metabolic reconstructions. Bordbar A, Lewis NE, Schellenberger J, Palsson BØ, Jamshidi N. Mol Syst Biol. 2010 Oct 19;6:422. PMID: 20959820 , DOI: 10.1038/msb.2010.68 Abstract: Metabolic coupling of Mycobacterium tuberculosis to its host is foundational to its pathogenesis. Computational genome-scale metabolic models have shown utility in integrating -omic as well as physiologic data for systemic, mechanistic analysis of metabolism. To date, integrative analysis of host-pathogen interactions using in silico mass-balanced, genome-scale models has not been performed. We, therefore, constructed a cell-specific alveolar macrophage model, iAB-AMØ-1410, from the global human metabolic reconstruction, Recon 1. The model successfully predicted experimentally verified ATP and nitric oxide production rates in macrophages. This model was then integrated with an M. tuberculosis H37Rv model, iNJ661, to build an integrated host-pathogen genome-scale reconstruction, iAB-AMØ-1410-Mt-661. The integrated host-pathogen network enables simulation of the metabolic changes during infection. The resulting reaction activity and gene essentiality targets of the integrated model represent an altered infectious state. High-throughput data from infected macrophages were mapped onto the host-pathogen network and were able to describe three distinct pathological states. Integrated host-pathogen reconstructions thus form a foundation upon which understanding the biology and pathophysiology of infections can be developed. This model was downloaded from the supplementary materials ( link ) to the article. To make this file valid SBML the units of all parameters where changed from mmole per gDW per hour to mmole per hour. The model can be used eg. fpr FBA with the COBRA toolbox , amongst others. This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

Project description:Purpose: The goal of this RNA-seq study was to profile changes in miRNA expression in bovine alveolar macrophages isolated from Holstein-Friesian and challenged with M. bovis over a 48 hour time course. Background: Mycobacterium bovis, the causative agent of bovine tuberculosis, is a major infectious disease problem for global agriculture, resulting in losses of billions of Euros annually. The bacterium spreads via an airborne route and is taken up by alveolar macrophages in the lung. MicroRNAs (miRNAs) — short non-coding RNAs that post-transcriptionally regulate gene expression — are increasingly being recognised as key regulators of the immune system. There is mounting evidence for the role of miRNAs in regulating the early innate immune response to mycobacterial infections; however, the underlying processes are not fully understood yet. Results: In total, 2.5 billion raw sequencing reads were generated. 93% of post-filtered reads aligned to known miRNAs. The expression of miRNAs varied over a wide range: miR-21 was expressed at approximately 430,000 reads per million (RPM), but the majority were more lowly expressed (1000-10,000 RPM). One, six, and 40 miRNAs were identified as significantly differentially expressed at 2, 24 and 48 h post-infection (hpi), respectively (FDR < 0.05); the differential expression at 48 hpi of three (out of four) of these miRNAs was confirmed by RT-qPCR. No miRNAs were detected to be differentially expressed 6 hpi. Many of the differentially expressed miRNAs have been shown to have a role in the host response to mycobacterial pathogens and other infections in other species. MicroRNA-155, for example, which we observed to be upregulated in response to M. bovis has recently been shown to control autophagy in murine macrophages infected with the human pathogen Mycobacterium tuberculosis. Pathway analysis suggests that upregulated miRNAs target endocytosis and lysosome trafficking, thus potentially enhancing bacterial survival. An independent gene silencing experiment with a bovine macrophage cell line (Bomac) has confirmed downregulation of IRAK1 by miR-146a and miR-146b. Moreover, downregulation of another predicted target, TGFRB2, by miR-146a was also confirmed. These findings support the target prediction and pathway analysis results. Our results suggest that several miRNAs have an important role in the alveolar macrophage response to pathogenic mycobacteria.

Dataset Information

Bordbar2010_Macrophage_Metabolism

Publications

Insight into human alveolar macrophage and M. tuberculosis interactions via metabolic reconstructions.

Similar Datasets

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