Evidence map›Paper›PMID 22041788›Full record

ReviewMolecular bioSystems2012

LC-MS-based metabolomics.

Bin Zhou, Jun Feng Xiao, Leepika Tuli, Habtom W Ressom

Abstract readReview
In one paragraph

Review in Molecular bioSystems, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 258 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
258citing papers in PubMed, 2 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

258 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  7. The cholesterol-dependent cytolysin promotesInfection and immunity · 2026
    Article
  8. Leveraging 13C-Labeling to Assign Molecular Formulas to Unknown Yeast Metabolites.Journal of the American Society for Mass Spectrometry · 2026
    Article
  9. Article
  10. Review
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  12. Article
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  14. Article
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  17. Article
  18. Phytochemical Analysis of PlantMolecules (Basel, Switzerland) · 2026
    Article
  19. Article
  20. Article

198 more citing papers are in PubMed but not listed here.

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

4 authors.

Bin ZhouLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.
Jun Feng Xiao
Leepika Tuli
Habtom W Ressom

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
Metabolomic and Integromic Approaches to Identify Fingerprints for Early DetectioR21CA153176 · NCI · GEORGETOWN UNIVERSITY · PI RESSOM, HABTOM W · 2010 to 2011
$362k
NCI NIH HHS P30 CA051008NCI NIH HHS R21 CA153176NCI NIH HHS R21CA153176
6 · The paper itself

Abstract

Metabolomics aims at identification and quantitation of small molecules involved in metabolic reactions. LC-MS has enjoyed a growing popularity as the platform for metabolomic studies due to its high throughput, soft ionization, and good coverage of metabolites. The success of a LC-MS-based metabolomic study often depends on multiple experimental, analytical, and computational steps. This review presents a workflow of a typical LC-MS-based metabolomic analysis for identification and quantitation of metabolites indicative of biological/environmental perturbations. Challenges and current solutions in each step of the workflow are reviewed. The review intends to help investigators understand the challenges in metabolomic studies and to determine appropriate experimental, analytical, and computational methods to address these challenges.

Indexed as

Chromatography, LiquidHumansMass SpectrometryMetabolomicsResearch Design

Identifiers

PMID22041788
PMCPMC3699692

What OpenQuestion holds

Textmetadata
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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.