Evidence map›Paper›PMID 24997995›Full record

ArticleMolecular & cellular proteomics : MCP2014

Quantitative mass spectrometry reveals plasticity of metabolic networks in Mycobacterium smegmatis.

Tarun Chopra, Romain Hamelin, Florence Armand, Diego Chiappe, Marc Moniatte, John D McKinney

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Review
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  4. Regulation of theJournal of bacteriology · 2021
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  14. Transcriptome Landscape ofFrontiers in microbiology · 2017
    Article
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  17. Article
  18. Noncanonical SMC protein in Mycobacterium smegmatis restricts maintenance of Mycobacterium fortuitum plasmids.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Tarun ChopraFrom the ‡School of Life Sciences and tarun.chopra@epfl.ch romain.hamelin@epfl.ch.
Romain Hamelin¶Proteomics Core Facility, Swiss Federal Institute of Technology in Lausanne, 1015 Lausanne, Switzerland tarun.chopra@epfl.ch romain.hamelin@epfl.ch.
Florence Armand¶Proteomics Core Facility, Swiss Federal Institute of Technology in Lausanne, 1015 Lausanne, Switzerland.
Diego Chiappe¶Proteomics Core Facility, Swiss Federal Institute of Technology in Lausanne, 1015 Lausanne, Switzerland.
Marc Moniatte¶Proteomics Core Facility, Swiss Federal Institute of Technology in Lausanne, 1015 Lausanne, Switzerland.
John D McKinneyFrom the ‡School of Life Sciences and.
École Polytechnique Fédérale de Lausanne · CH

Funding

Mycobacterium tuberculosis carbon metabolism in vivoR01HL088906 · NHLBI · ROCKEFELLER UNIVERSITY · PI MCKINNEY, JOHN D. · 2006 to 2010
$1.5M
NHLBI NIH HHS HL088906NHLBI NIH HHS R01 HL088906
6 · The paper itself

Abstract

Mycobacterium tuberculosis has a remarkable ability to persist within the human host as a clinically inapparent or chronically active infection. Fatty acids are thought to be an important carbon source used by the bacteria during long term infection. Catabolism of fatty acids requires reprogramming of metabolic networks, and enzymes central to this reprogramming have been targeted for drug discovery. Mycobacterium smegmatis, a nonpathogenic relative of M. tuberculosis, is often used as a model system because of the similarity of basic cellular processes in these two species. Here, we take a quantitative proteomics-based approach to achieve a global view of how the M. smegmatis metabolic network adjusts to utilization of fatty acids as a carbon source. Two-dimensional liquid chromatography and mass spectrometry of isotopically labeled proteins identified a total of 3,067 proteins with high confidence. This number corresponds to 44% of the predicted M. smegmatis proteome and includes most of the predicted metabolic enzymes. Compared with glucose-grown cells, 162 proteins showed differential abundance in acetate- or propionate-grown cells. Among these, acetate-grown cells showed a higher abundance of proteins that could constitute a functional glycerate pathway. Gene inactivation experiments confirmed that both the glyoxylate shunt and the glycerate pathway are operational in M. smegmatis. In addition to proteins with annotated functions, we demonstrate carbon source-dependent differential abundance of proteins that have not been functionally characterized. These proteins might play as-yet-unidentified roles in mycobacterial carbon metabolism. This study reveals several novel features of carbon assimilation in M. smegmatis, which suggests significant functional plasticity of metabolic networks in this organism.

Indexed as

AcetatesBacterial ProteinsCarbonEnergy MetabolismFatty AcidsGene Expression ProfilingGlucoseMetabolic Networks and PathwaysMycobacterium Infections, NontuberculousMycobacterium smegmatisPropionatesProteomeProteomicsAcetatesBacterial ProteinsCarbonFatty AcidsGlucosePropionatesProteome

Identifiers

PMID24997995
PMCPMC4223488
OpenAlexW2019315324

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.