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Bioinformatic analysis of membrane and associated proteins in murine cardiomyocytes and human myocardium
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 analy...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708497/ https://www.ncbi.nlm.nih.gov/pubmed/33262348 http://dx.doi.org/10.1038/s41597-020-00762-1 |
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author | Lee, Shin-Haw Hadipour-Lakmehsari, Sina Kim, Da Hye Di Paola, Michelle Kuzmanov, Uros Shah, Saumya Lee, Joseph Jong-Hwan Kislinger, Thomas Sharma, Parveen Oudit, Gavin Y. Gramolini, Anthony O. |
author_facet | Lee, Shin-Haw Hadipour-Lakmehsari, Sina Kim, Da Hye Di Paola, Michelle Kuzmanov, Uros Shah, Saumya Lee, Joseph Jong-Hwan Kislinger, Thomas Sharma, Parveen Oudit, Gavin Y. Gramolini, Anthony O. |
author_sort | Lee, Shin-Haw |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7708497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77084972020-12-03 Bioinformatic analysis of membrane and associated proteins in murine cardiomyocytes and human myocardium Lee, Shin-Haw Hadipour-Lakmehsari, Sina Kim, Da Hye Di Paola, Michelle Kuzmanov, Uros Shah, Saumya Lee, Joseph Jong-Hwan Kislinger, Thomas Sharma, Parveen Oudit, Gavin Y. Gramolini, Anthony O. Sci Data Analysis 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. Nature Publishing Group UK 2020-12-01 /pmc/articles/PMC7708497/ /pubmed/33262348 http://dx.doi.org/10.1038/s41597-020-00762-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Analysis Lee, Shin-Haw Hadipour-Lakmehsari, Sina Kim, Da Hye Di Paola, Michelle Kuzmanov, Uros Shah, Saumya Lee, Joseph Jong-Hwan Kislinger, Thomas Sharma, Parveen Oudit, Gavin Y. Gramolini, Anthony O. Bioinformatic analysis of membrane and associated proteins in murine cardiomyocytes and human myocardium |
title | Bioinformatic analysis of membrane and associated proteins in murine cardiomyocytes and human myocardium |
title_full | Bioinformatic analysis of membrane and associated proteins in murine cardiomyocytes and human myocardium |
title_fullStr | Bioinformatic analysis of membrane and associated proteins in murine cardiomyocytes and human myocardium |
title_full_unstemmed | Bioinformatic analysis of membrane and associated proteins in murine cardiomyocytes and human myocardium |
title_short | Bioinformatic analysis of membrane and associated proteins in murine cardiomyocytes and human myocardium |
title_sort | bioinformatic analysis of membrane and associated proteins in murine cardiomyocytes and human myocardium |
topic | Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708497/ https://www.ncbi.nlm.nih.gov/pubmed/33262348 http://dx.doi.org/10.1038/s41597-020-00762-1 |
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