Evidence map›Paper›PMID 24410464›Full record

ArticleAnalytical chemistry2014

Development and quantitative evaluation of a high-resolution metabolomics technology.

Xiaojing Liu, Zheng Ser, Jason W Locasale

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Analytical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed
9.1field-weighted citation impact, top 1% of its field
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

106 citing papers in PubMed, 188 citations in OpenAlex.

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  6. Analytical Methods for Mass Spectrometry-Based Metabolomics Studies.Advances in experimental medicine and biology · 2026
    Review
  7. Gut metabolism links precision nutrition, exercise, and healthspan inbioRxiv : the preprint server for biology · 2025
    Article
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46 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

3 authors at 1 institution in 1 country.

Xiaojing LiuDivision of Nutritional Sciences, Cornell University , Ithaca, New York 14853, United States.
Zheng Ser
Jason W Locasale
Cornell University · US

Funding

Understanding metabolic flux and the control of mammalian cell growthR00CA168997 · NCI · DUKE UNIVERSITY · PI LOCASALE, JASON W. · 2013 to 2015
$695k
NCI NIH HHS R00 CA168997NCI NIH HHS R00CA168997
6 · The paper itself

Abstract

Recent advances in mass spectrometry have allowed for unprecedented characterization of human metabolism and its contribution to disease. Despite these advances, limitations in metabolomics technology remain. Here, we describe a metabolomics strategy that consolidates several recent improvements in mass spectrometry technology. The platform involves a high-resolution Orbitrap mass spectrometer coupled to faster scanning speeds, allowing for polarity switching and improved ion optics resulting in enhanced sensitivity. When coupled to HILIC chromatography, we are able to quantify over 339 metabolites from an extract of HCT8 cells with a linear range of over 4 orders of magnitude in a single chromatographic run. These metabolites include diverse chemical classes ranging from amino acids to polar lipids. In addition, we also detect over 3000 additional potential metabolites present in mammalian cells. We applied this platform to characterize the metabolome of eight colorectal cancer cell lines and observed both commonalities and heterogeneities across their metabolic profiles when cells are grown in identical conditions. Together these results demonstrate that simultaneous profiling and quantitation of the human metabolome is feasible.

Indexed as

Cell LineCell Line, TumorColorectal NeoplasmsHumansMetabolomics

Identifiers

PMID24410464
PMCPMC3983012
OpenAlexW2081311904

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.