Evidence map›Paper›PMID 20064840›Full record

ArticleMolecular & cellular proteomics : MCP2010

Decimal place slope, a fast and precise method for quantifying 13C incorporation levels for detecting the metabolic activity of microbial species.

Nico Jehmlich, Ingo Fetzer, Jana Seifert, Jens Mattow, Carsten Vogt, Hauke Harms, Bernd Thiede, Hans-Hermann Richnow, Martin von Bergen, Frank Schmidt

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-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

5 citing papers in PubMed, 20 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Nico JehmlichDepartment of Proteomics, Helmholtz Centre for Environmental Research, D-04318 Leipzig, Germany.
Ingo Fetzer
Jana Seifert
Jens Mattow
Carsten Vogt
Hauke Harms
Bernd Thiede
Hans-Hermann Richnow
Martin von Bergen
Frank Schmidt
Helmholtz Centre for Environmental Research · DEMax Planck Institute for Infection Biology · DEUniversität Greifswald · DEUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The metabolic incorporation of stable isotopes such as (13)C or (15)N into proteins has become a powerful tool for qualitative and quantitative proteome studies. We recently introduced a method that monitors heavy isotope incorporation into proteins and presented data revealing the metabolic activity of various species in a microbial consortium using this technique. To further develop our method using an liquid chromatography (LC)-mass spectrometry (MS)-based approach, we present here a novel approach for calculating the incorporation level of (13)C into peptides by using the information given in the decimal places of peptide masses obtained by modern high-resolution MS. In the present study, the applicability of this approach is demonstrated using Pseudomonas putida ML2 proteins uniformly labeled via the consumption of [(13)C(6)]benzene present in the medium at concentrations of 0, 10, 25, 50, and 100 atom %. The incorporation of (13)C was calculated on the basis of several labeled peptides derived from one band on an SDS-PAGE gel. The accuracy of the calculated incorporation level depended upon the number of peptide masses included in the analysis, and it was observed that at least 100 peptide masses were required to reduce the deviation below 4 atom %. This accuracy was comparable with calculations of incorporation based on the isotope envelope. Furthermore, this method can be extended to the calculation of the labeling efficiency for a wide range of biomolecules, including RNA and DNA. The technique will therefore allow a highly accurate determination of the carbon flux in microbial consortia with a direct approach based solely on LC-MS.

Indexed as

CarbonCarbon IsotopesIsotope LabelingMass SpectrometryNanotechnologyPeptidesProtein SubunitsPseudomonas putidaCarbonCarbon IsotopesPeptidesProtein Subunits

Identifiers

PMID20064840
PMCPMC2877982
OpenAlexW2164917194

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.