Evidence map›Paper›PMID 29192912›Full record

ArticleThe Analyst2017

Quantitative profiling of carbonyl metabolites directly in crude biological extracts using chemoselective tagging and nanoESI-FTMS.

Pan Deng, Richard M Higashi, Andrew N Lane, Ronald C Bruntz, Ramon C Sun, Mandapati V Ramakrishnam Raju, Michael H Nantz, Zhen Qi, Teresa W-M Fan

Erratum issuedAbstract read
In one paragraph

Article in The Analyst, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. UncoveringGut microbes · 2025
    Article
  2. A high-specificity aniline-based mass tag for aldehyde detection.Rapid communications in mass spectrometry : RCM · 2022
    Article
  3. Article
  4. Review
  5. Article
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  8. Review
  9. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Pan DengCenter for Environmental and Systems Biochemistry, Markey Cancer Center, and Dept. Toxicology & Cancer Biology, University of Kentucky, Lexington, Kentucky 40536-0596, USA. twmfan@gmail.com.
Richard M Higashi
Andrew N Lane
Ronald C Bruntz
Ramon C Sun
Mandapati V Ramakrishnam Raju
Michael H Nantz
Zhen Qi
Teresa W-M Fan

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI KATHLEEN L. O'CONNOR · 2013 to 2026
$38.3M
SAMPLE COREU24DK097215 · NIDDK · UNIVERSITY OF KENTUCKY · PI FAN, TERESA WHEI-MEI, HIGASHI, RICHARD M · 2013 to 2017
$8.7M
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
TRAINING GRANT IN MOLECULAR MECHANISMS OF TOXICITY.T32ES007266 · NIEHS · UNIVERSITY OF KENTUCKY · PI LIU, XIAOQI, MELLON, ISABEL W · 1990 to 2020
$3.7M
Interdisciplinary Research Training in Cancer BiologyT32CA165990 · NCI · UNIVERSITY OF KENTUCKY · PI Bernard Mark Evers, KATHLEEN L. O'CONNOR · 2013 to 2026
$3.2M
Biochemical Mechanisms of Se Anticancer Activity in LungR01CA118434 · NCI · UNIVERSITY OF LOUISVILLE · PI FAN, TERESA WHEI-MEI · 2008 to 2011
$1.4M
Algorithms for Accurate and Scalable Identification of Isotopologues from Mass Spectrometry DataR03CA222449 · NCI · UNIVERSITY OF KENTUCKY · PI HIGASHI, RICHARD M, LIU, JINZE · 2017 to 2017
$153k
NCI NIH HHS P01 CA163223NCI NIH HHS P30 CA177558NCI NIH HHS R01 CA118434NCI NIH HHS R03 CA222449NCI NIH HHS T32 CA165990NIDDK NIH HHS U24 DK097215NIEHS NIH HHS T32 ES007266NIH HHS 1P01CA163223-01A1NIH HHS 1R01ES022191-01NIH HHS 1U24DK097215-01A1NIH HHS T32 5T32ES007266-25
6 · The paper itself

Abstract

The extensive range of chemical structures, wide range of abundances, and chemical instability of metabolites present in the metabolome pose major analytical challenges that are difficult to address with existing technologies. To address these issues, one approach is to target a subset of metabolites that share a functional group, such as ketones and aldehydes, using chemoselective tagging. Here we report a greatly improved chemoselective method for the quantitative analysis of hydrophilic and hydrophobic carbonyl-containing metabolites directly in biological samples. This method is based on direct tissue or cells extraction with simultaneous derivatization of stable and labile carbonylated metabolites using N-[2-(aminooxy)ethyl]-N,N-dimethyl-1-dodecylammonium (QDA) and

Identifiers

PMID29192912
PMCPMC6759371

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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.