Evidence map›Paper›PMID 33262348›Full record

ArticleScientific data2020

Bioinformatic analysis of membrane and associated proteins in murine cardiomyocytes and human myocardium.

Shin-Haw Lee, Sina Hadipour-Lakmehsari, Da Hye Kim, Michelle Di Paola, Uros Kuzmanov, Saumya Shah, Joseph Jong-Hwan Lee, Thomas Kislinger, Parveen Sharma, Gavin Y Oudit and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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

11 authors at 3 institutions in 2 countries.

Shin-Haw LeeTranslational Biology and Engineering Program, Ted Rogers Centre for Heart Research, Toronto, Ontario, M5G 1M1, Canada.ORCID 0000-0002-9699-5967
Sina Hadipour-LakmehsariTranslational Biology and Engineering Program, Ted Rogers Centre for Heart Research, Toronto, Ontario, M5G 1M1, Canada.ORCID 0000-0001-7247-2849
Da Hye KimTranslational Biology and Engineering Program, Ted Rogers Centre for Heart Research, Toronto, Ontario, M5G 1M1, Canada.
Michelle Di PaolaTranslational Biology and Engineering Program, Ted Rogers Centre for Heart Research, Toronto, Ontario, M5G 1M1, Canada.
Uros KuzmanovTranslational Biology and Engineering Program, Ted Rogers Centre for Heart Research, Toronto, Ontario, M5G 1M1, Canada.ORCID 0000-0002-3502-6986
Saumya ShahDepartment of Medicine, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada.
Joseph Jong-Hwan LeeTranslational Biology and Engineering Program, Ted Rogers Centre for Heart Research, Toronto, Ontario, M5G 1M1, Canada.
Thomas KislingerPrincess Margaret Cancer Research Centre, Toronto, Ontario, M5G 1L8, Canada.ORCID 0000-0003-3525-5540
Parveen SharmaDepartment of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, M5S 1M8, Canada.ORCID 0000-0002-5534-2417
Gavin Y OuditDepartment of Medicine, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada.ORCID 0000-0002-9154-9028
Anthony O GramoliniTranslational Biology and Engineering Program, Ted Rogers Centre for Heart Research, Toronto, Ontario, M5G 1M1, Canada. anthony.gramolini@utoronto.ca.ORCID 0000-0003-1109-2070
University of Toronto · CAUniversity of Alberta · CAUniversity of Liverpool · GB

Funding

Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) PJT-155921Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) PJT-166118
6 · The paper itself

Abstract

In the current study we examined several proteomic- and RNA-Seq-based datasets of cardiac-enriched, cell-surface and membrane-associated proteins in human fetal and mouse neonatal ventricular cardiomyocytes. By integrating available microarray and tissue expression profiles with MGI phenotypic analysis, we identified 173 membrane-associated proteins that are cardiac-enriched, conserved amongst eukaryotic species, and have not yet been linked to a 'cardiac' Phenotype-Ontology. To highlight the utility of this dataset, we selected several proteins to investigate more carefully, including FAM162A, MCT1, and COX20, to show cardiac enrichment, subcellular distribution and expression patterns in disease. We performed three-dimensional confocal imaging analysis to validate subcellular localization and expression in adult mouse ventricular cardiomyocytes. FAM162A, MCT1, and COX20 were expressed differentially at the transcriptomic and proteomic levels in multiple models of mouse and human heart diseases and may represent potential diagnostic and therapeutic targets for human dilated and ischemic cardiomyopathies. Altogether, we believe this comprehensive cardiomyocyte membrane proteome dataset will prove instrumental to future investigations aimed at characterizing heart disease markers and/or therapeutic targets for heart failure.

Indexed as

ProteomeAnimalsComputational BiologyDatasets as TopicMembrane ProteinsMiceMyocardiumMyocytes, CardiacRNA-SeqTranscriptomeMembrane ProteinsProteome

Identifiers

PMID33262348
PMCPMC7708497
OpenAlexW3109120520

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.