Evidence map›Paper›PMID 32291283›Full record

ArticleMolecular & cellular proteomics : MCP2020

Quantitative Proteomics of Human Heart Samples Collected

Nora Linscheid, Pi Camilla Poulsen, Ida Dalgaard Pedersen, Emilie Gregers, Jesper Hastrup Svendsen, Morten Salling Olesen, Jesper Velgaard Olsen, Mario Delmar, Alicia Lundby

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

27 citing papers in PubMed, 48 citations in OpenAlex.

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  9. Review
  10. Article
  11. Article
  12. Proteomics of the heart.Physiological reviews · 2024
    Review
  13. The Senescent Heart-"Age Doth Wither Its Infinite Variety".International journal of molecular sciences · 2024
    Review
  14. Article
  15. 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

9 authors at 3 institutions in 2 countries.

Nora LinscheidDepartment of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen N, Denmark.
Pi Camilla PoulsenDepartment of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen N, Denmark.
Ida Dalgaard PedersenDepartment of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen N, Denmark.
Emilie GregersLaboratory for Molecular Cardiology, the Heart Centre, Rigshospitalet, Denmark.
Jesper Hastrup SvendsenLaboratory for Molecular Cardiology, the Heart Centre, Rigshospitalet, Denmark.
Morten Salling OlesenDepartment of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen N, Denmark.
Jesper Velgaard OlsenThe Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen N, Denmark.
Mario DelmarLeon H Charney Division of Cardiology, NYU School of Medicine, New York, New York, USA.
Alicia LundbyDepartment of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen N, Denmark; The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen N, Denmark. Electronic address: alicia.lundby@sund.ku.dk.
University of Copenhagen · DKRigshospitalet · DKNew York University · US

Funding

Role of desmosomes in cardiac electrical functionR01HL134328 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DELMAR, MARIO, MORLEY, GREGORY E · 2016 to 2019
$2.6M
NHLBI NIH HHS R01 HL134328
6 · The paper itself

Abstract

Genetic and genomic research has greatly advanced our understanding of heart disease. Yet, comprehensive, in-depth, quantitative maps of protein expression in hearts of living humans are still lacking. Using samples obtained during valve replacement surgery in patients with mitral valve prolapse (MVP), we set out to define inter-chamber differences, the intersect of proteomic data with genetic or genomic datasets, and the impact of left atrial dilation on the proteome of patients with no history of atrial fibrillation (AF).We collected biopsies from right atria (RA), left atria (LA) and left ventricle (LV) of seven male patients with mitral valve regurgitation with dilated LA but no history of AF. Biopsy samples were analyzed by high-resolution mass spectrometry (MS), where peptides were pre-fractionated by reverse phase high-pressure liquid chromatography prior to MS measurement on a Q-Exactive-HF Orbitrap instrument. We identified 7,314 proteins based on 130,728 peptides. Results were confirmed in an independent set of biopsies collected from three additional individuals. Comparative analysis against data from post-mortem samples showed enhanced quantitative power and confidence level in samples collected from living hearts. Our analysis, combined with data from genome wide association studies suggested candidate gene associations to MVP, identified higher abundance in ventricle for proteins associated with cardiomyopathies and revealed the dilated LA proteome, demonstrating differential representation of molecules previously associated with AF, in non-AF hearts.This is the largest dataset of cardiac protein expression from human samples collected

Indexed as

Atrial FibrillationBiopsyChromatography, High Pressure LiquidGene OntologyGenome-Wide Association StudyHeart AtriaHeart VentriclesHumansMaleMass SpectrometryMiddle AgedMitral Valve ProlapseProteomeProteomicsUp-RegulationProteomecardiac proteomicsCardiovascular diseasecardiovascular function or biologyclinical proteomicsheart physiologylabel-free quantificationquantitative proteomicstandem mass spectrometry

Identifiers

PMID32291283
PMCPMC7338087
OpenAlexW3015768232

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.