Evidence map›Paper›PMID 25699545›Full record

ArticleThe Analyst2015

Metabolomics method to comprehensively analyze amino acids in different domains.

Haiwei Gu, Jianhai Du, Fausto Carnevale Neto, Patrick A Carroll, Sally J Turner, E Gabriela Chiorean, Robert N Eisenman, Daniel Raftery

Open access · greenAbstract read
In one paragraph

Article in The Analyst, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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  9. Quantitative models of nitrogen-fixing organisms.Computational and structural biotechnology journal · 2020
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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

8 authors at 4 institutions in 3 countries.

Haiwei GuNorthwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican St., Seattle, WA 98109, USA.
Jianhai Du
Fausto Carnevale Neto
Patrick A Carroll
Sally J Turner
E Gabriela Chiorean
Robert N Eisenman
Daniel Raftery
Seattle University · USUniversity of Washington · USFred Hutch Cancer Center · USIndiana University Health · US

Funding

Chromosome Metabolism and Cancer Training GrantT32CA009657 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI EISENMAN, ROBERT NEIL · 1991 to 2020
$7.6M
MYC ONCOPROTEIN FUNCTIONR01CA057138 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI EISENMAN, ROBERT NEIL · 1991 to 2018
$4.9M
Advanced Methods in NMR-Based MetabolomicsR01GM085291 · NIGMS · UNIVERSITY OF WASHINGTON · PI RAFTERY, DANIEL · 2008 to 2016
$2.7M
NCI NIH HHS R01 CA057138NCI NIH HHS R01 CA57138NCI NIH HHS T32 CA009657NIGMS NIH HHS 2R01GM085291NIGMS NIH HHS R01 GM085291
6 · The paper itself

Abstract

Amino acids play essential roles in both metabolism and the proteome. Many studies have profiled free amino acids (FAAs) or proteins; however, few have connected the measurement of FAA with individual amino acids in the proteome. In this study, we developed a metabolomics method to comprehensively analyze amino acids in different domains, using two examples of different sample types and disease models. We first examined the responses of FAAs and insoluble-proteome amino acids (IPAAs) to the Myc oncogene in Tet21N human neuroblastoma cells. The metabolic and proteomic amino acid profiles were quite different, even under the same Myc condition, and their combination provided a better understanding of the biological status. In addition, amino acids were measured in 3 domains (FAAs, free and soluble-proteome amino acids (FSPAAs), and IPAAs) to study changes in serum amino acid profiles related to colon cancer. A penalized logistic regression model based on the amino acids from the three domains had better sensitivity and specificity than that from each individual domain. To the best of our knowledge, this is the first study to perform a combined analysis of amino acids in different domains, and indicates the useful biological information available from a metabolomics analysis of the protein pellet. This study lays the foundation for further quantitative tracking of the distribution of amino acids in different domains, with opportunities for better diagnosis and mechanistic studies of various diseases.

Indexed as

AdolescentAdultAgedAged, 80 and overAmino AcidsCell Line, TumorFemaleHumansMaleMetabolomicsMiddle AgedYoung AdultAmino Acids

Identifiers

PMID25699545
PMCPMC4380628
OpenAlexW2094240357

What OpenQuestion holds

Textmetadata
LicenceTDM
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.