Evidence map›Paper›PMID 36800490›Full record

ArticleJournal of proteome research2023

Defining the Sarcomeric Proteoform Landscape in Ischemic Cardiomyopathy by Top-Down Proteomics.

Emily A Chapman, Timothy J Aballo, Jake A Melby, Tianhua Zhou, Scott J Price, Kalina J Rossler, Ienglam Lei, Paul C Tang, Ying Ge

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2023. 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
5.3field-weighted citation impact, top 4% 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, 23 citations in OpenAlex.

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  15. Top-down proteomics.Nature reviews. Methods primers · 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.

Emily A ChapmanDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0003-1110-8984
Timothy J AballoMolecular and Cellular Pharmacology Training Program, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.ORCID 0000-0003-1164-5966
Jake A MelbyDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0003-1499-9508
Tianhua ZhouDepartment of Medicine, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Scott J PriceDepartment of Medicine, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Kalina J RosslerMolecular and Cellular Pharmacology Training Program, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.
Ienglam LeiDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, Michigan 48109, United States.
Paul C TangDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, Michigan 48109, United States.
Ying GeDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0001-5211-6812
University of Wisconsin–Madison · USUniversity of Michigan · 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
Chemistry-Biology Interface Training ProgramT32GM008505 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BLACKWELL, HELEN E. · 1993 to 2023
$9.8M
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
Targeting Immune-Responsive Gene 1 (Irg1) and Itaconate for Cardioprotection of the Donor Heart for TransplantationR01HL164416 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Paul Tang · 2022 to 2026
$3.3M
Targeting Mineralocorticoid Receptor Condensates to Optimize Donor Heart PreservationR01HL166140 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Paul Tang · 2023 to 2026
$2.7M
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 R01 HL164416NHLBI NIH HHS R01 HL166140NHLBI NIH HHS T32 HL007936NIGMS NIH HHS R01 GM125085NIGMS NIH HHS T32 GM008505NIGMS NIH HHS T32 GM008688NIH HHS S10 OD018475
6 · The paper itself

Abstract

Ischemic cardiomyopathy (ICM) is a prominent form of heart failure, but the molecular mechanisms underlying ICM remain relatively understudied due to marked phenotypic heterogeneity. Alterations in post-translational modifications (PTMs) and isoform switches in sarcomeric proteins play important roles in cardiac pathophysiology. Thus, it is essential to define sarcomeric proteoform landscape to better understand ICM. Herein, we have implemented a top-down liquid chromatography (LC)-mass spectrometry (MS)-based proteomics method for the identification and quantification of sarcomeric proteoforms in the myocardia of donors without heart diseases (

Indexed as

CardiomyopathiesSarcomeresHumansMyocardiumProtein IsoformsProtein Processing, Post-TranslationalProteomicsProtein Isoformshuman heart proteomicsischemic cardiomyopathymyofilament proteinsquantitative proteomicssarcomeretop-down proteomicsZ-disk proteins

Identifiers

PMID36800490
PMCPMC10115148
OpenAlexW4321186845

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.