Evidence map›Paper›PMID 35184559›Full record

ArticleAnalytical chemistry2022

Discovery and Visualization of Uncharacterized Drug-Protein Adducts Using Mass Spectrometry.

Michael Riffle, Michael R Hoopmann, Daniel Jaschob, Guo Zhong, Robert L Moritz, Michael J MacCoss, Trisha N Davis, Nina Isoherranen, Alex Zelter

Open access · bronzeAbstract read
In one paragraph

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 33 citations in OpenAlex.

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  14. A framework for quality control in quantitative proteomics.bioRxiv : the preprint server for biology · 2024
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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

9 authors at 2 institutions in 1 country.

Michael RiffleDepartment of Biochemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0003-1633-8607
Michael R HoopmannInstitute for Systems Biology, Seattle, Washington 98109, United States.ORCID 0000-0001-7029-7792
Daniel JaschobDepartment of Biochemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-5383-9702
Guo ZhongDepartment of Pharmaceutics, University of Washington, Seattle, Washington 98195, United States.
Robert L MoritzInstitute for Systems Biology, Seattle, Washington 98109, United States.ORCID 0000-0002-3216-9447
Michael J MacCossDepartment of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0003-1853-0256
Trisha N DavisDepartment of Biochemistry, University of Washington, Seattle, Washington 98195, United States.
Nina IsoherranenDepartment of Pharmaceutics, University of Washington, Seattle, Washington 98195, United States.
Alex ZelterDepartment of Biochemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-5331-0577
University of Washington · USInstitute for Systems Biology · US

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI JODI A LAPIDUS · 2004 to 2026
$102.6M
TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI YATES III, JOHN R · 2012 to 2021
$20.7M
Molecular Analysis of Chromosome SegregationR35GM130293 · NIGMS · UNIVERSITY OF WASHINGTON · PI DAVIS, TRISHA N. · 2019 to 2023
$3.5M
NIA NIH HHS U19 AG023122NIGMS NIH HHS P41 GM103533NIGMS NIH HHS R35 GM130293
6 · The paper itself

Abstract

Drugs are often metabolized to reactive intermediates that form protein adducts. Adducts can inhibit protein activity, elicit immune responses, and cause life-threatening adverse drug reactions. The masses of reactive metabolites are frequently unknown, rendering traditional mass spectrometry-based proteomics approaches incapable of adduct identification. Here, we present Magnum, an open-mass search algorithm optimized for adduct identification, and Limelight, a web-based data processing package for analysis and visualization of data from all existing algorithms. Limelight incorporates tools for sample comparisons and xenobiotic-adduct discovery. We validate our tools with three drug/protein combinations and apply our label-free workflow to identify novel xenobiotic-protein adducts in CYP3A4. Our new methods and software enable accurate identification of xenobiotic-protein adducts with no prior knowledge of adduct masses or protein targets. Magnum outperforms existing label-free tools in xenobiotic-protein adduct discovery, while Limelight fulfills a major need in the rapidly developing field of open-mass searching, which until now lacked comprehensive data visualization tools.

Indexed as

ProteinsProteomicsAlgorithmsDNA AdductsMass SpectrometrySoftwareDNA AdductsProteins

Identifiers

PMID35184559
PMCPMC8892443
OpenAlexW4220800712

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.