Evidence map›Paper›PMID 24482123›Full record

ArticleMolecular & cellular proteomics : MCP2014

Mass spectrometry-based workflow for accurate quantification of Escherichia coli enzymes: how proteomics can play a key role in metabolic engineering.

Mathieu Trauchessec, Michel Jaquinod, Aline Bonvalot, Virginie Brun, Christophe Bruley, Delphine Ropers, Hidde de Jong, Jérôme Garin, Gwenaëlle Bestel-Corre, Myriam Ferro

Abstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. HMicroorganisms · 2023
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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

10 authors.

Mathieu TrauchessecCommisariat à l'Energie Atomique et aux Energies Alternatives (CEA), Institut de Recherches en Technologie et Sciences pour le Vivant (iRTSV), Biologie à Grande Echelle, F-38054 Grenoble, France;
Michel Jaquinod
Aline Bonvalot
Virginie Brun
Christophe Bruley
Delphine Ropers
Hidde de Jong
Jérôme Garin
Gwenaëlle Bestel-Corre
Myriam Ferro

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic engineering aims to design high performance microbial strains producing compounds of interest. This requires systems-level understanding; genome-scale models have therefore been developed to predict metabolic fluxes. However, multi-omics data including genomics, transcriptomics, fluxomics, and proteomics may be required to model the metabolism of potential cell factories. Recent technological advances to quantitative proteomics have made mass spectrometry-based quantitative assays an interesting alternative to more traditional immuno-affinity based approaches. This has improved specificity and multiplexing capabilities. In this study, we developed a quantification workflow to analyze enzymes involved in central metabolism in Escherichia coli (E. coli). This workflow combined full-length isotopically labeled standards with selected reaction monitoring analysis. First, full-length (15)N labeled standards were produced and calibrated to ensure accurate measurements. Liquid chromatography conditions were then optimized for reproducibility and multiplexing capabilities over a single 30-min liquid chromatography-MS analysis. This workflow was used to accurately quantify 22 enzymes involved in E. coli central metabolism in a wild-type reference strain and two derived strains, optimized for higher NADPH production. In combination with measurements of metabolic fluxes, proteomics data can be used to assess different levels of regulation, in particular enzyme abundance and catalytic rate. This provides information that can be used to design specific strains used in biotechnology. In addition, accurate measurement of absolute enzyme concentrations is key to the development of predictive kinetic models in the context of metabolic engineering.

Indexed as

CalibrationCarbonChromatography, LiquidEscherichia coliEscherichia coli ProteinsIsotope LabelingKineticsMass SpectrometryMetabolic EngineeringNADPProteomicsReference StandardsReproducibility of ResultsWorkflowCarbonEscherichia coli ProteinsNADP

Identifiers

PMID24482123
PMCPMC3977194

What OpenQuestion holds

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Registered trials

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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.