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A single–cell type transcriptomics map of human tissues
Advances in molecular profiling have opened up the possibility to map the expression of genes in cells, tissues, and organs in the human body. Here, we combined single-cell transcriptomics analysis with spatial antibody-based protein profiling to create a high-resolution single–cell type map of huma...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Association for the Advancement of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318366/ https://www.ncbi.nlm.nih.gov/pubmed/34321199 http://dx.doi.org/10.1126/sciadv.abh2169 |
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author | Karlsson, Max Zhang, Cheng Méar, Loren Zhong, Wen Digre, Andreas Katona, Borbala Sjöstedt, Evelina Butler, Lynn Odeberg, Jacob Dusart, Philip Edfors, Fredrik Oksvold, Per von Feilitzen, Kalle Zwahlen, Martin Arif, Muhammad Altay, Ozlem Li, Xiangyu Ozcan, Mehmet Mardonoglu, Adil Fagerberg, Linn Mulder, Jan Luo, Yonglun Ponten, Fredrik Uhlén, Mathias Lindskog, Cecilia |
author_facet | Karlsson, Max Zhang, Cheng Méar, Loren Zhong, Wen Digre, Andreas Katona, Borbala Sjöstedt, Evelina Butler, Lynn Odeberg, Jacob Dusart, Philip Edfors, Fredrik Oksvold, Per von Feilitzen, Kalle Zwahlen, Martin Arif, Muhammad Altay, Ozlem Li, Xiangyu Ozcan, Mehmet Mardonoglu, Adil Fagerberg, Linn Mulder, Jan Luo, Yonglun Ponten, Fredrik Uhlén, Mathias Lindskog, Cecilia |
author_sort | Karlsson, Max |
collection | PubMed |
description | Advances in molecular profiling have opened up the possibility to map the expression of genes in cells, tissues, and organs in the human body. Here, we combined single-cell transcriptomics analysis with spatial antibody-based protein profiling to create a high-resolution single–cell type map of human tissues. An open access atlas has been launched to allow researchers to explore the expression of human protein-coding genes in 192 individual cell type clusters. An expression specificity classification was performed to determine the number of genes elevated in each cell type, allowing comparisons with bulk transcriptomics data. The analysis highlights distinct expression clusters corresponding to cell types sharing similar functions, both within the same organs and between organs. |
format | Online Article Text |
id | pubmed-8318366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-83183662021-08-10 A single–cell type transcriptomics map of human tissues Karlsson, Max Zhang, Cheng Méar, Loren Zhong, Wen Digre, Andreas Katona, Borbala Sjöstedt, Evelina Butler, Lynn Odeberg, Jacob Dusart, Philip Edfors, Fredrik Oksvold, Per von Feilitzen, Kalle Zwahlen, Martin Arif, Muhammad Altay, Ozlem Li, Xiangyu Ozcan, Mehmet Mardonoglu, Adil Fagerberg, Linn Mulder, Jan Luo, Yonglun Ponten, Fredrik Uhlén, Mathias Lindskog, Cecilia Sci Adv Research Articles Advances in molecular profiling have opened up the possibility to map the expression of genes in cells, tissues, and organs in the human body. Here, we combined single-cell transcriptomics analysis with spatial antibody-based protein profiling to create a high-resolution single–cell type map of human tissues. An open access atlas has been launched to allow researchers to explore the expression of human protein-coding genes in 192 individual cell type clusters. An expression specificity classification was performed to determine the number of genes elevated in each cell type, allowing comparisons with bulk transcriptomics data. The analysis highlights distinct expression clusters corresponding to cell types sharing similar functions, both within the same organs and between organs. American Association for the Advancement of Science 2021-07-28 /pmc/articles/PMC8318366/ /pubmed/34321199 http://dx.doi.org/10.1126/sciadv.abh2169 Text en Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Karlsson, Max Zhang, Cheng Méar, Loren Zhong, Wen Digre, Andreas Katona, Borbala Sjöstedt, Evelina Butler, Lynn Odeberg, Jacob Dusart, Philip Edfors, Fredrik Oksvold, Per von Feilitzen, Kalle Zwahlen, Martin Arif, Muhammad Altay, Ozlem Li, Xiangyu Ozcan, Mehmet Mardonoglu, Adil Fagerberg, Linn Mulder, Jan Luo, Yonglun Ponten, Fredrik Uhlén, Mathias Lindskog, Cecilia A single–cell type transcriptomics map of human tissues |
title | A single–cell type transcriptomics map of human tissues |
title_full | A single–cell type transcriptomics map of human tissues |
title_fullStr | A single–cell type transcriptomics map of human tissues |
title_full_unstemmed | A single–cell type transcriptomics map of human tissues |
title_short | A single–cell type transcriptomics map of human tissues |
title_sort | single–cell type transcriptomics map of human tissues |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318366/ https://www.ncbi.nlm.nih.gov/pubmed/34321199 http://dx.doi.org/10.1126/sciadv.abh2169 |
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