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The human protein atlas—Integrated omics for single cell mapping of the human proteome
Studying the spatial distribution of proteins provides the basis for understanding the biology, molecular repertoire, and architecture of every human cell. The Human Protein Atlas (HPA) has grown into one of the world's largest biological databases, and in the most recent version, a major updat...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850435/ https://www.ncbi.nlm.nih.gov/pubmed/36604173 http://dx.doi.org/10.1002/pro.4562 |
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author | Digre, Andreas Lindskog, Cecilia |
author_facet | Digre, Andreas Lindskog, Cecilia |
author_sort | Digre, Andreas |
collection | PubMed |
description | Studying the spatial distribution of proteins provides the basis for understanding the biology, molecular repertoire, and architecture of every human cell. The Human Protein Atlas (HPA) has grown into one of the world's largest biological databases, and in the most recent version, a major update of the structure of the database was performed. The data has now been organized into 10 different comprehensive sections, each summarizing different aspects of the human proteome and the protein‐coding genes. In particular, large datasets with information on the single cell type level have been integrated, refining the tissue and cell type specificity and detailing the expression in cell states with an increased resolution. The multi‐modal data constitute an important resource for both basic and translational science, and hold promise for integration with novel emerging technologies at the protein and RNA level. |
format | Online Article Text |
id | pubmed-9850435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98504352023-02-01 The human protein atlas—Integrated omics for single cell mapping of the human proteome Digre, Andreas Lindskog, Cecilia Protein Sci Tools for Protein Science Studying the spatial distribution of proteins provides the basis for understanding the biology, molecular repertoire, and architecture of every human cell. The Human Protein Atlas (HPA) has grown into one of the world's largest biological databases, and in the most recent version, a major update of the structure of the database was performed. The data has now been organized into 10 different comprehensive sections, each summarizing different aspects of the human proteome and the protein‐coding genes. In particular, large datasets with information on the single cell type level have been integrated, refining the tissue and cell type specificity and detailing the expression in cell states with an increased resolution. The multi‐modal data constitute an important resource for both basic and translational science, and hold promise for integration with novel emerging technologies at the protein and RNA level. John Wiley & Sons, Inc. 2023-02-01 /pmc/articles/PMC9850435/ /pubmed/36604173 http://dx.doi.org/10.1002/pro.4562 Text en © 2023 The Authors. Protein Science published by Wiley Periodicals LLC on behalf of The Protein Society. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Tools for Protein Science Digre, Andreas Lindskog, Cecilia The human protein atlas—Integrated omics for single cell mapping of the human proteome |
title | The human protein atlas—Integrated omics for single cell mapping of the human proteome |
title_full | The human protein atlas—Integrated omics for single cell mapping of the human proteome |
title_fullStr | The human protein atlas—Integrated omics for single cell mapping of the human proteome |
title_full_unstemmed | The human protein atlas—Integrated omics for single cell mapping of the human proteome |
title_short | The human protein atlas—Integrated omics for single cell mapping of the human proteome |
title_sort | human protein atlas—integrated omics for single cell mapping of the human proteome |
topic | Tools for Protein Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850435/ https://www.ncbi.nlm.nih.gov/pubmed/36604173 http://dx.doi.org/10.1002/pro.4562 |
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