Evidence map›Paper›PMID 25270929›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2014

Stable isotope-labeled tracers for metabolic pathway elucidation by GC-MS and FT-MS.

Richard M Higashi, Teresa W-M Fan, Pawel K Lorkiewicz, Hunter N B Moseley, Andrew N Lane

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
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  9. Article
  10. Review
  11. Article
  12. Article
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  15. Article
  16. Article
  17. A review of metabolism-associated biomarkers in lung cancer diagnosis and treatment.Metabolomics : Official journal of the Metabolomic Society · 2018
    Article
  18. Article
  19. Review
  20. From correlation to causation: analysis of metabolomics data using systems biology approaches.Metabolomics : Official journal of the Metabolomic Society · 2018
    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

5 authors.

Richard M HigashiGraduate Center of Toxicology, University of Kentucky, Biopharm Complex, 789 S. Limestone St., Lexington, KY, 40536, USA, rick.higashi@uky.edu.
Teresa W-M Fan
Pawel K Lorkiewicz
Hunter N B Moseley
Andrew N Lane

Funding

PROJ 12: STEM CELL-BASED VACCINE FOR CANCER PROPHYLAXISP20RR018733 · NCRR · UNIVERSITY OF LOUISVILLE · PI CUNNINGHAM, ALBERT R · 2003 to 2011
$18.9M
Systems Biochemistry in Lung Cancer: Toward a Mechanistic Understanding of NSCLCP01CA163223 · NCI · UNIVERSITY OF LOUISVILLE · PI FAN, TERESA WHEI-MEI, FAN, TERESA WHEI-MEI · 2013 to 2017
$6.5M
Integrated Chemoselective and Informatic Platform for Large-Scale MetabolomicsR01ES022191 · NIEHS · UNIVERSITY OF LOUISVILLE · PI FAN, TERESA WHEI-MEI, HIGASHI, RICHARD M · 2012 to 2016
$3.4M
Biochemical Mechanisms of Se Anticancer Activity in LungR01CA118434 · NCI · UNIVERSITY OF LOUISVILLE · PI FAN, TERESA WHEI-MEI · 2008 to 2011
$1.4M
Selenium Prevention of Tobacco Smoke-Induced Lung CancerR01CA101199 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI FAN, TERESA W-M · 2003 to 2005
$704k
Stable isotopomer analysis of anabolic metabolic pathways in breast cancerR21CA133668 · NCI · UNIVERSITY OF LOUISVILLE · PI LANE, ANDREW N. · 2009 to 2010
$358k
NCI NIH HHS 1R01CA101199-01NCI NIH HHS 1R01CA118434-01A2NCI NIH HHS 3R01CA118434-02S1NCI NIH HHS P01 CA163223NCI NIH HHS P01CA163223-01A1NCI NIH HHS R01 CA101199NCI NIH HHS R01 CA118434NCI NIH HHS R21 CA133668NCI NIH HHS R21CA133-668-02NCRR NIH HHS 5P20RR018733NCRR NIH HHS P20 RR018733NIEHS NIH HHS R01 ES022191NIEHS NIH HHS R01ES-022191-01
6 · The paper itself

Abstract

Advances in analytical methodologies, principally nuclear magnetic resonance spectroscopy (NMR) and mass spectrometry (MS), over the last decade have made large-scale analysis of the human metabolome a reality. This is leading to the reawakening of the importance of metabolism in human diseases, particularly widespread metabolic diseases such as cancer, diabetes, and obesity. Emerging NMR and MS atom-tracking technologies and informatics are poised to revolutionize metabolomics-based research because they deliver the high information throughput (HIT) that is needed for deciphering systems biochemistry. In particular, stable isotope-resolved metabolomics (SIRM) enables unambiguous tracking of individual atoms through compartmentalized metabolic networks in a wide range of experimental systems, including human subjects. MS offers a wide range of instrumental capabilities involving different levels of initial capital outlay and operating costs, ranging from gas-chromatography (GC) MS that is affordable by many individual laboratories to the HIT-supporting Fourier-transform (FT) class of MS that rivals NMR in cost and infrastructure support. This chapter focuses on sample preparation, instrument, and data processing procedures for these two extremes of MS instrumentation used in SIRM.

Indexed as

AnimalsFourier AnalysisGas Chromatography-Mass SpectrometryHumansIsotope LabelingMass SpectrometryMetabolomeMetabolomics

Identifiers

PMID25270929
PMCPMC4337027

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Registered trials

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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.