Evidence map›Paper›PMID 34236868›Full record

ArticleJournal of proteome research2021

Ultrafast and Reproducible Proteomics from Small Amounts of Heart Tissue Enabled by Azo and timsTOF Pro.

Timothy J Aballo, David S Roberts, Jake A Melby, Kevin M Buck, Kyle A Brown, Ying Ge

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 58 citations in OpenAlex.

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  9. Review
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  12. Proteomics of the heart.Physiological reviews · 2024
    Review
  13. Article
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  15. Article
  16. Top-down proteomics.Nature reviews. Methods primers · 2024
    Article
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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 at 1 institution in 1 country.

Timothy J AballoMolecular and Cellular Pharmacology Training Program, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.ORCID 0000-0003-1164-5966
David S RobertsDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0002-0478-4987
Jake A MelbyDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0003-1499-9508
Kevin M BuckDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Kyle A BrownDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Ying GeDepartment of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.ORCID 0000-0001-5211-6812
University of Wisconsin–Madison · US

Funding

Training Program in Translational Cardiovascular Science (TPTCS)T32HL007936 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Lee Lochbaum Eckhardt, Gail A Robertson · 2001 to 2026
$11.6M
Training Program In Molecular AND Cellular PharmacologyT32GM008688 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI AUDHYA, ANJON · 1998 to 2020
$6.0M
Deciphering Myofilament Modifications in Ischemic CardiomyopathyR01HL109810 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI GE, YING · 2013 to 2024
$3.5M
Top Down Proteomics Of Myofilaments In Heart FailureR01HL096971 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI GE, YING · 2011 to 2021
$3.3M
Enabling Top-Down Proteomics through Materials Chemistry and NanotechnologyR01GM117058 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI GE, YING, JIN, SONG · 2015 to 2023
$2.7M
Vascular Surgery Research Training ProgramT32HL110853 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI MATSUMURA, JON STEVEN · 2012 to 2021
$2.6M
Ultra High Resolution Mass Spectrometer for Biomedical ResearchS10OD018475 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI GE, YING · 2015 to 2015
$2.0M
MASH Explorer, a Comprehensive Software Environment for Top-Down ProteomicsR01GM125085 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI GE, YING · 2018 to 2021
$1.2M
NHLBI NIH HHS R01 HL096971NHLBI NIH HHS R01 HL109810NHLBI NIH HHS T32 HL007936NHLBI NIH HHS T32 HL110853NIGMS NIH HHS R01 GM117058NIGMS NIH HHS R01 GM125085NIGMS NIH HHS T32 GM008688NIH HHS S10 OD018475
6 · The paper itself

Abstract

Global bottom-up mass spectrometry (MS)-based proteomics is widely used for protein identification and quantification to achieve a comprehensive understanding of the composition, structure, and function of the proteome. However, traditional sample preparation methods are time-consuming, typically including overnight tryptic digestion, extensive sample cleanup to remove MS-incompatible surfactants, and offline sample fractionation to reduce proteome complexity prior to online liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. Thus, there is a need for a fast, robust, and reproducible method for protein identification and quantification from complex proteomes. Herein, we developed an ultrafast bottom-up proteomics method enabled by Azo, a photocleavable, MS-compatible surfactant that effectively solubilizes proteins and promotes rapid tryptic digestion, combined with the Bruker timsTOF Pro, which enables deeper proteome coverage through trapped ion mobility spectrometry (TIMS) and parallel accumulation-serial fragmentation (PASEF) of peptides. We applied this method to analyze the complex human cardiac proteome and identified nearly 4000 protein groups from as little as 1 mg of human heart tissue in a single one-dimensional LC-TIMS-MS/MS run with high reproducibility. Overall, we anticipate this ultrafast, robust, and reproducible bottom-up method empowered by both Azo and the timsTOF Pro will be generally applicable and greatly accelerate the throughput of large-scale quantitative proteomic studies. Raw data are available via the MassIVE repository with identifier MSV000087476.

Indexed as

HeartProteomicsTandem Mass SpectrometryChromatography, LiquidHumansProteomeReproducibility of ResultsProteomebottom-up proteomicshuman heart proteomicsphotocleavable surfactantquantitative proteomicssample preparation

Identifiers

PMID34236868
PMCPMC8349881
OpenAlexW3179832482

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.