Evidence map›Paper›PMID 33983025›Full record

ReviewJournal of the American Society for Mass Spectrometry2021

Novel Strategies to Address the Challenges in Top-Down Proteomics.

Jake A Melby, David S Roberts, Eli J Larson, Kyle A Brown, Elizabeth F Bayne, Song Jin, Ying Ge

Open access · greenAbstract readReview
In one paragraph

Review in Journal of the American Society for Mass Spectrometry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed
16.4field-weighted citation impact, top 1% 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

99 citing papers in PubMed, 189 citations in OpenAlex.

  1. Article
  2. Review
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  15. Article
  16. State-of-the-Art and Future Directions in Structural Proteomics.Molecular & cellular proteomics : MCP · 2025
    Review
  17. Article
  18. Review
  19. Article
  20. Article

39 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Jake A MelbyDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID http://orcid.org/0000-0003-1499-9508
David S RobertsDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID http://orcid.org/0000-0002-0478-4987
Eli J LarsonDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID http://orcid.org/0000-0002-1354-0722
Kyle A BrownDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Elizabeth F BayneDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Song JinDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID http://orcid.org/0000-0001-8693-7010
Ying GeDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID http://orcid.org/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
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 GM125085NIH HHS S10 OD018475
6 · The paper itself

Abstract

Top-down mass spectrometry (MS)-based proteomics is a powerful technology for comprehensively characterizing proteoforms to decipher post-translational modifications (PTMs) together with genetic variations and alternative splicing isoforms toward a proteome-wide understanding of protein functions. In the past decade, top-down proteomics has experienced rapid growth benefiting from groundbreaking technological advances, which have begun to reveal the potential of top-down proteomics for understanding basic biological functions, unraveling disease mechanisms, and discovering new biomarkers. However, many challenges remain to be comprehensively addressed. In this Account & Perspective, we discuss the major challenges currently facing the top-down proteomics field, particularly in protein solubility, proteome dynamic range, proteome complexity, data analysis, proteoform-function relationship, and analytical throughput for precision medicine. We specifically review the major technology developments addressing these challenges with an emphasis on our research group's efforts, including the development of top-down MS-compatible surfactants for protein solubilization, functionalized nanoparticles for the enrichment of low-abundance proteoforms, strategies for multidimensional chromatography separation of proteins, and a new comprehensive user-friendly software package for top-down proteomics. We have also made efforts to connect proteoforms with biological functions and provide our visions on what the future holds for top-down proteomics.

Indexed as

HumansMass SpectrometryPrecision MedicineProtein Processing, Post-TranslationalProteinsProteomeProteomicsSoftwareSolubilityProteinsProteome

Identifiers

PMID33983025
PMCPMC8310706
OpenAlexW3161104087

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.