Evidence map›Paper›PMID 21285414›Full record

ArticleMolecular & cellular proteomics : MCP2011

Quantitative tracking of isotope flows in proteomes of microbial communities.

Chongle Pan, Curt R Fischer, Doug Hyatt, Benjamin P Bowen, Robert L Hettich, Jillian F Banfield

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.4field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 81 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Phytoplankton exudates and lysates support distinct microbial consortia with specialized metabolic and ecophysiological traits.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Metaproteomics method to determine carbon sources and assimilation pathways of species in microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Proteomic tools to decipher microbial community structure and functioning.Environmental science and pollution research international · 2015
    Review
  18. Tracking heavy water (D2O) incorporation for identifying and sorting active microbial cells.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  19. Analytics for Metabolic Engineering.Frontiers in bioengineering and biotechnology · 2015
    Review
  20. Systems-based approaches to unravel multi-species microbial community functioning.Computational and structural biotechnology journal · 2015
    Review
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 4 institutions in 1 country.

Chongle PanComputer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831-6164, USA. panc@ornl.gov
Curt R Fischer
Doug Hyatt
Benjamin P Bowen
Robert L Hettich
Jillian F Banfield
Oak Ridge National Laboratory · USLawrence Berkeley National Laboratory · USPlanetary Science Institute · USUniversity of California, Berkeley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stable isotope probing (SIP) has been used to track nutrient flows in microbial communities, but existing protein-based SIP methods capable of quantifying the degree of label incorporation into peptides and proteins have been demonstrated only by targeting usually less than 100 proteins per sample. Our method automatically (i) identifies the sequence of and (ii) quantifies the degree of heavy atom enrichment for thousands of proteins from microbial community proteome samples. These features make our method suitable for comparing isotopic differences between closely related protein sequences, and for detecting labeling patterns in low-abundance proteins or proteins derived from rare community members. The proteomic SIP method was validated using proteome samples of known stable isotope incorporation levels at 0.4%, ∼50%, and ∼98%. The method was then used to monitor incorporation of (15)N into established and regrowing microbial biofilms. The results indicate organism-specific migration patterns from established communities into regrowing communities and provide insights into metabolism during biofilm formation. The proteomic SIP method can be extended to many systems to track fluxes of (13)C or (15)N in microbial communities.

Indexed as

Microbial ConsortiaActinobacteriaAmmonium SulfateBacterial ProteinsBacteriophagesBiofilmsIsotope LabelingLeptospiraMetabolic Networks and PathwaysNitrogen IsotopesProteomeTandem Mass SpectrometryThermoplasmalesViral ProteinsAmmonium SulfateBacterial ProteinsNitrogen IsotopesProteomeViral Proteins

Identifiers

PMID21285414
PMCPMC3069347
OpenAlexW2167872211

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.