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A combined approach for single-cell mRNA and intracellular protein expression analysis
Combined measurements of mRNA and protein expression in single cells enable in-depth analysis of cellular states. We present SPARC, an approach that combines single-cell RNA-sequencing with proximity extension essays to simultaneously measure global mRNA and 89 intracellular proteins in individual c...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149646/ https://www.ncbi.nlm.nih.gov/pubmed/34035432 http://dx.doi.org/10.1038/s42003-021-02142-w |
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author | Reimegård, Johan Tarbier, Marcel Danielsson, Marcus Schuster, Jens Baskaran, Sathishkumar Panagiotou, Styliani Dahl, Niklas Friedländer, Marc R. Gallant, Caroline J. |
author_facet | Reimegård, Johan Tarbier, Marcel Danielsson, Marcus Schuster, Jens Baskaran, Sathishkumar Panagiotou, Styliani Dahl, Niklas Friedländer, Marc R. Gallant, Caroline J. |
author_sort | Reimegård, Johan |
collection | PubMed |
description | Combined measurements of mRNA and protein expression in single cells enable in-depth analysis of cellular states. We present SPARC, an approach that combines single-cell RNA-sequencing with proximity extension essays to simultaneously measure global mRNA and 89 intracellular proteins in individual cells. We show that mRNA expression fails to accurately reflect protein abundance at the time of measurement, although the direction of changes is in agreement during neuronal differentiation. Moreover, protein levels of transcription factors better predict their downstream effects than do their corresponding transcripts. Finally, we highlight that protein expression variation is overall lower than mRNA variation, but relative protein variation does not reflect the mRNA level. Our results demonstrate that mRNA and protein measurements in single cells provide different and complementary information regarding cell states. SPARC presents a state-of-the-art co-profiling method that overcomes current limitations in throughput and protein localization, including removing the need for cell fixation. |
format | Online Article Text |
id | pubmed-8149646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81496462021-05-27 A combined approach for single-cell mRNA and intracellular protein expression analysis Reimegård, Johan Tarbier, Marcel Danielsson, Marcus Schuster, Jens Baskaran, Sathishkumar Panagiotou, Styliani Dahl, Niklas Friedländer, Marc R. Gallant, Caroline J. Commun Biol Article Combined measurements of mRNA and protein expression in single cells enable in-depth analysis of cellular states. We present SPARC, an approach that combines single-cell RNA-sequencing with proximity extension essays to simultaneously measure global mRNA and 89 intracellular proteins in individual cells. We show that mRNA expression fails to accurately reflect protein abundance at the time of measurement, although the direction of changes is in agreement during neuronal differentiation. Moreover, protein levels of transcription factors better predict their downstream effects than do their corresponding transcripts. Finally, we highlight that protein expression variation is overall lower than mRNA variation, but relative protein variation does not reflect the mRNA level. Our results demonstrate that mRNA and protein measurements in single cells provide different and complementary information regarding cell states. SPARC presents a state-of-the-art co-profiling method that overcomes current limitations in throughput and protein localization, including removing the need for cell fixation. Nature Publishing Group UK 2021-05-25 /pmc/articles/PMC8149646/ /pubmed/34035432 http://dx.doi.org/10.1038/s42003-021-02142-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Reimegård, Johan Tarbier, Marcel Danielsson, Marcus Schuster, Jens Baskaran, Sathishkumar Panagiotou, Styliani Dahl, Niklas Friedländer, Marc R. Gallant, Caroline J. A combined approach for single-cell mRNA and intracellular protein expression analysis |
title | A combined approach for single-cell mRNA and intracellular protein expression analysis |
title_full | A combined approach for single-cell mRNA and intracellular protein expression analysis |
title_fullStr | A combined approach for single-cell mRNA and intracellular protein expression analysis |
title_full_unstemmed | A combined approach for single-cell mRNA and intracellular protein expression analysis |
title_short | A combined approach for single-cell mRNA and intracellular protein expression analysis |
title_sort | combined approach for single-cell mrna and intracellular protein expression analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149646/ https://www.ncbi.nlm.nih.gov/pubmed/34035432 http://dx.doi.org/10.1038/s42003-021-02142-w |
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