Evidence map›Paper›PMID 37738129›Full record

ArticleJournal of the American Chemical Society2023

Solid-Phase Compatible Silane-Based Cleavable Linker Enables Custom Isobaric Quantitative Chemoproteomics.

Nikolas R Burton, Daniel A Polasky, Flowreen Shikwana, Samuel Ofori, Tianyang Yan, Daniel J Geiszler, Felipe da Veiga Leprevost, Alexey I Nesvizhskii, Keriann M Backus

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

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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.

Nikolas R BurtonDepartment of Biological Chemistry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California 90095, United States.
Daniel A PolaskyDepartment of Pathology, University of Michigan, Ann Arbor, Michigan 48109, United States.ORCID 0000-0002-0515-1735
Flowreen ShikwanaDepartment of Biological Chemistry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California 90095, United States.
Samuel OforiDepartment of Biological Chemistry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California 90095, United States.
Tianyang YanDepartment of Biological Chemistry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California 90095, United States.
Daniel J GeiszlerDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, United States.ORCID 0000-0002-7691-8534
Felipe da Veiga LeprevostDepartment of Pathology, University of Michigan, Ann Arbor, Michigan 48109, United States.
Alexey I NesvizhskiiDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, United States.ORCID 0000-0002-2806-7819
Keriann M BackusDepartment of Biological Chemistry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California 90095, United States.ORCID 0000-0001-8541-1404
University of California, Los Angeles · USUniversity of Michigan · US

Funding

COMPUTATIONAL TOOLS FOR MASS SPECTROMETRY-BASED INTERACTOME DATAR01GM094231 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 2010 to 2026
$5.4M
Michigan Center for Translational Cancer Proteogenomics-Diversity SupplementU24CA271037 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Saravana Mohan Dhanasekaran, Alexey I Nesvizhskii · 2022 to 2026
$4.4M
Proteogenomics of Cancer Training ProgramT32CA140044 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAO, ARVIND, SARTOR, MAUREEN AGNES · 2010 to 2024
$3.9M
Biotechnology Training in Biomedical Sciences and EngineeringT32GM067555 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GU, ZHEN · 2005 to 2019
$2.8M
A systems-level approach to decipher the protein interactome.DP2GM146246 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BACKUS, KERIANN MARIE · 2021 to 2024
$2.3M
NCI NIH HHS T32 CA140044NCI NIH HHS U24 CA271037NIGMS NIH HHS DP2 GM146246NIGMS NIH HHS R01 GM094231NIGMS NIH HHS T32 GM067555
6 · The paper itself

Abstract

Mass spectrometry-based chemoproteomics has emerged as an enabling technology for functional biology and drug discovery. To address limitations of established chemoproteomics workflows, including cumbersome reagent synthesis and low throughput sample preparation, here, we established the silane-based cleavable isotopically labeled proteomics (sCIP) method. The sCIP method is enabled by a high yielding and scalable route to dialkoxydiphenylsilane fluorenylmethyloxycarbonyl (DADPS-Fmoc)-protected amino acid building blocks, which enable the facile synthesis of customizable, isotopically labeled, and chemically cleavable biotin capture reagents. sCIP is compatible with both MS1- and MS2-based quantitation, and the sCIP-MS2 method is distinguished by its click-assembled isobaric tags in which the reporter group is encoded in the sCIP capture reagent and balancer in the pan cysteine-reactive probe. The sCIP-MS2 workflow streamlines sample preparation with early stage isobaric labeling and sample pooling, allowing for high coverage and increased sample throughput via customized low cost six-plex sample multiplexing. When paired with a custom FragPipe data analysis workflow and applied to cysteine-reactive fragment screens, sCIP proteomics revealed established and unprecedented cysteine-ligand pairs, including the discovery that mitochondrial uncoupling agent FCCP acts as a covalent-reversible cysteine-reactive electrophile.

Indexed as

CysteineSilanesIndicators and ReagentsMass SpectrometryProteomicsCysteineIndicators and ReagentsSilanes

Identifiers

PMID37738129
PMCPMC11895830
OpenAlexW4386954696

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.