Evidence map›Paper›PMID 22225547›Full record

ReviewFEMS microbiology ecology2012

Exploring mixed microbial community functioning: recent advances in metaproteomics.

Alma Siggins, Eoin Gunnigle, Florence Abram

Abstract readReview
In one paragraph

Review in FEMS microbiology ecology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Bioinformatic Workflows for Metaproteomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Psoriatic arthritis from a mechanistic perspective.Nature reviews. Rheumatology · 2022
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Experimental and computational approaches to unravel microbial community assembly.Computational and structural biotechnology journal · 2020
    Review
  17. Article
  18. Review
  19. Review
  20. 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

3 authors.

Alma SigginsMicrobial Ecology Laboratory, Department of Microbiology and Ryan Institute, National University of Ireland, Galway (NUI, Galway), Galway, Ireland.
Eoin Gunnigle
Florence Abram

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

System approaches to elucidate ecosystem functioning constitute an emerging area of research within microbial ecology. Such approaches aim at investigating all levels of biological information (DNA, RNA, proteins and metabolites) to capture the functional interactions occurring in a given ecosystem and track down characteristics that could not be accessed by the study of isolated components. In this context, the study of the proteins collectively expressed by all the microorganisms present within an ecosystem (metaproteomics) is not only crucial but can also provide insights into microbial functionality. Overall, the success of metaproteomics is closely linked to metagenomics, and with the exponential increase in the availability of metagenome sequences, this field of research is starting to experience generation of an overwhelming amount of data, which requires systematic analysis. Metaproteomics has been employed in very diverse environments, and this review discusses the recent advances achieved in the context of human biology, soil, marine and freshwater environments as well as natural and bioengineered systems.

Indexed as

EcosystemEnvironmental MicrobiologyBioengineeringEnvironmentHumansMetagenomeMetagenomicsProteomeProteomicsProteome

Identifiers

PMID22225547
PMCPMC3491685

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.