Evidence map›Paper›PMID 32551936›Full record

ReviewAstrobiology2020

Metabolomics as an Emerging Tool in the Search for Astrobiologically Relevant Biomarkers.

Lauren Seyler, Elizabeth B Kujawinski, Armando Azua-Bustos, Michael D Lee, Jeffrey Marlow, Scott M Perl, Henderson James Cleaves Ii

Abstract readReview
In one paragraph

Review in Astrobiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

13 citing papers in PubMed.

  1. Review
  2. JACS Au · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Metabolomic Profile of the FungusFrontiers in microbiology · 2022
    Article
  11. Article
  12. Review
  13. 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

7 authors.

Lauren SeylerDepartment of Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA.
Elizabeth B KujawinskiDepartment of Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA.
Armando Azua-BustosDepartment of Planetology and Habitability, Centro de Astrobiología (CSIC-INTA), Madrid, Spain.
Michael D LeeBlue Marble Space Institute of Science, Seattle, Washington, USA.
Jeffrey MarlowBlue Marble Space Institute of Science, Seattle, Washington, USA.
Scott M PerlGeological and Planetary Sciences, California Institute of Technology/NASA Jet Propulsion Laboratory, Pasadena, California, USA.
Henderson James Cleaves IiBlue Marble Space Institute of Science, Seattle, Washington, USA.

Funding

European Research Council 818602
6 · The paper itself

Abstract

It is now routinely possible to sequence and recover microbial genomes from environmental samples. To the degree it is feasible to assign transcriptional and translational functions to these genomes, it should be possible, in principle, to largely understand the complete molecular inputs and outputs of a microbial community. However, gene-based tools alone are presently insufficient to describe the full suite of chemical reactions and small molecules that compose a living cell. Metabolomic tools have developed quickly and now enable rapid detection and identification of small molecules within biological and environmental samples. The convergence of these technologies will soon facilitate the detection of novel enzymatic activities, novel organisms, and potentially extraterrestrial life-forms on solar system bodies. This review explores the methodological problems and scientific opportunities facing researchers who hope to apply metabolomic methods in astrobiology-related fields, and how present challenges might be overcome.

Indexed as

ExobiologyExtraterrestrial EnvironmentMetabolomicsBiomarkersBiomarkersBiogeochemistry. Astrobiology 20, 1251–1261BiomarkersBiosignaturesMetabolismMolecular fossils

Identifiers

PMID32551936
PMCPMC7116171

What OpenQuestion holds

Textmetadata
LicenceTDM
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.