Evidence map›Paper›PMID 29133944›Full record

ArticleNature communications2017

Region and cell-type resolved quantitative proteomic map of the human heart.

Sophia Doll, Martina Dreßen, Philipp E Geyer, Daniel N Itzhak, Christian Braun, Stefanie A Doppler, Florian Meier, Marcus-Andre Deutsch, Harald Lahm, Rüdiger Lange and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

157 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Nuclear Proteome Map of Mouse Heart Chambers.Molecular & cellular proteomics : MCP · 2026
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97 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

12 authors.

Sophia DollDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, 82152, Germany.
Martina DreßenDepartment of Cardiovascular Surgery, German Heart Center Munich at the Technische Universität München, Munich, 80636, Germany.
Philipp E GeyerDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, 82152, Germany.
Daniel N ItzhakDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, 82152, Germany.
Christian BraunForensic Institute, Ludwig-Maximilians-University, Munich, 80336, Germany.
Stefanie A DopplerDepartment of Cardiovascular Surgery, German Heart Center Munich at the Technische Universität München, Munich, 80636, Germany.ORCID http://orcid.org/0000-0002-1505-1658
Florian MeierDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, 82152, Germany.ORCID http://orcid.org/0000-0003-4729-175X
Marcus-Andre DeutschDepartment of Cardiovascular Surgery, German Heart Center Munich at the Technische Universität München, Munich, 80636, Germany.
Harald LahmDepartment of Cardiovascular Surgery, German Heart Center Munich at the Technische Universität München, Munich, 80636, Germany.
Rüdiger LangeDepartment of Cardiovascular Surgery, German Heart Center Munich at the Technische Universität München, Munich, 80636, Germany.
Markus KraneDepartment of Cardiovascular Surgery, German Heart Center Munich at the Technische Universität München, Munich, 80636, Germany. krane@dhm.mhn.de.
Matthias MannDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, 82152, Germany. mmann@biochem.mpg.de.ORCID http://orcid.org/0000-0003-1292-4799

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The heart is a central human organ and its diseases are the leading cause of death worldwide, but an in-depth knowledge of the identity and quantity of its constituent proteins is still lacking. Here, we determine the healthy human heart proteome by measuring 16 anatomical regions and three major cardiac cell types by high-resolution mass spectrometry-based proteomics. From low microgram sample amounts, we quantify over 10,700 proteins in this high dynamic range tissue. We combine copy numbers per cell with protein organellar assignments to build a model of the heart proteome at the subcellular level. Analysis of cardiac fibroblasts identifies cellular receptors as potential cell surface markers. Application of our heart map to atrial fibrillation reveals individually distinct mitochondrial dysfunctions. The heart map is available at maxqb.biochem.mpg.de as a resource for future analyses of normal heart function and disease.

Indexed as

Cells, CulturedCoronary VesselsEndothelial CellsHeartHeart AtriaHeart VentriclesHumansMaleMyocardiumMyocytes, CardiacMyocytes, Smooth MuscleProteomeProteomicsProteome

Identifiers

PMID29133944
PMCPMC5684139

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.