Evidence map›Paper›PMID 32125145›Full record

ArticleAnalytical chemistry2020

In-Source CID Ramping and Covariant Ion Analysis of Hydrophilic Interaction Chromatography Metabolomics.

Xiaoyang Su, Eric Chiles, Sara Maimouni, Fredric E Wondisford, Wei-Xing Zong, Chi Song

Abstract read
In one paragraph

Article in Analytical chemistry, 2020. 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.

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  9. Comprehensive profiling of folates across polyglutamylation and one-carbon states.Metabolomics : Official journal of the Metabolomic Society · 2025
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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

6 authors.

Xiaoyang SuDepartment of Medicine, Rutgers-Robert Wood Johnson Medical School, New Brunswick, New Jersey 08901, United States.ORCID 0000-0001-8081-1396
Eric ChilesRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey 08903, United States.
Sara MaimouniRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey 08903, United States.
Fredric E WondisfordDepartment of Medicine, Rutgers-Robert Wood Johnson Medical School, New Brunswick, New Jersey 08901, United States.
Wei-Xing ZongRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey 08903, United States.
Chi SongDivision of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio 43210, United States.

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Chang S Chan · 1997 to 2026
$94.5M
Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI ROBERT John LAUMBACH · 1988 to 2026
$47.4M
The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUL1TR002733 · NCATS · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2018 to 2022
$28.9M
Protein and redox homeostasis in cancer development and therapyR01CA129536 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI ZONG, WEI-XING · 2008 to 2022
$4.8M
Glutamine synthetase in cancer cell metabolism and oncogenesisR01CA224550 · NCI · RUTGERS, THE STATE UNIV OF N.J. · PI Wei-Xing Zong · 2018 to 2026
$4.7M
PI3 kinase PIK3CB (p110beta) in membrane trafficking and metabolismR01CA232246 · NCI · RUTGERS, THE STATE UNIV OF N.J. · PI ZONG, WEI-XING · 2018 to 2022
$1.8M
NCATS NIH HHS UL1 TR002733NCI NIH HHS P30 CA072720NCI NIH HHS R01 CA129536NCI NIH HHS R01 CA224550NCI NIH HHS R01 CA232246NIEHS NIH HHS P30 ES005022
6 · The paper itself

Abstract

A large proportion of the complexity and redundancy of LC-MS metabolomics data comes from adduct formation. To reduce such redundancy, many tools have been developed to recognize and annotate adduct ions. These tools rely on predefined adduct lists that are generated empirically from reversed-phase LC-MS studies. In addition, hydrophilic interaction chromatography (HILIC) is gaining popularity in metabolomics studies due to its enhanced performance over other methods for polar compounds. HILIC methods typically use high concentrations of buffer salts to improve chromatographic performance. Therefore, it is necessary to analyze adduct formation in HILIC metabolomics. To this end, we developed

Indexed as

MetabolomicsCell Line, TumorChromatography, High Pressure LiquidHumansHydrophobic and Hydrophilic InteractionsMass Spectrometry

Identifiers

PMID32125145
PMCPMC8141260

What OpenQuestion holds

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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.