Evidence map›Paper›PMID 23711563›Full record

ArticleJournal of visualized experiments : JoVE2013

Untargeted metabolomics from biological sources using ultraperformance liquid chromatography-high resolution mass spectrometry (UPLC-HRMS).

Nathaniel W Snyder, Maya Khezam, Clementina A Mesaros, Andrew Worth, Ian A Blair

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Trial
  2. Review
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  5. Article
  6. Review
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  14. Differences in testosterone and its precursors by sex of the offspring in meconium.The Journal of steroid biochemistry and molecular biology · 2017
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
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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

5 authors.

Nathaniel W SnyderCenters for Cancer Pharmacology and Excellence in Environmental Toxicology, Department of Pharmacology, University of Pennsylvania.
Maya Khezam
Clementina A Mesaros
Andrew Worth
Ian A Blair

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Susan M Domchek · 1985 to 2026
$222.3M
Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Trevor M Penning · 2006 to 2026
$35.3M
PREDOCTORAL TRAINING PROGRAM IN PHARMACOLOGYT32GM008076 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI BLENDY, JULIE A · 1985 to 2023
$10.8M
Translational Research Training Program in Environmental Health SciencesT32ES019851 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Kara A Bernstein, Trevor M Penning · 2012 to 2026
$6.0M
NCI NIH HHS P30 CA016520NIEHS NIH HHS P30 ES013508NIEHS NIH HHS P30ES013508NIEHS NIH HHS T32 ES019851NIGMS NIH HHS 5T32GM008076NIGMS NIH HHS T32 GM008076
6 · The paper itself

Abstract

Here we present a workflow to analyze the metabolic profiles for biological samples of interest including; cells, serum, or tissue. The sample is first separated into polar and non-polar fractions by a liquid-liquid phase extraction, and partially purified to facilitate downstream analysis. Both aqueous (polar metabolites) and organic (non-polar metabolites) phases of the initial extraction are processed to survey a broad range of metabolites. Metabolites are separated by different liquid chromatography methods based upon their partition properties. In this method, we present microflow ultra-performance (UP)LC methods, but the protocol is scalable to higher flows and lower pressures. Introduction into the mass spectrometer can be through either general or compound optimized source conditions. Detection of a broad range of ions is carried out in full scan mode in both positive and negative mode over a broad m/z range using high resolution on a recently calibrated instrument. Label-free differential analysis is carried out on bioinformatics platforms. Applications of this approach include metabolic pathway screening, biomarker discovery, and drug development.

Indexed as

BiomarkersBlood Chemical AnalysisCell ExtractsCell Line, TumorChromatography, High Pressure LiquidGlioblastomaHumansMetabolomicsTandem Mass SpectrometryTissue ExtractsBiomarkersCell ExtractsTissue Extracts

Identifiers

PMID23711563
PMCPMC3711276

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.