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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...

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Autores principales: Reimegård, Johan, Tarbier, Marcel, Danielsson, Marcus, Schuster, Jens, Baskaran, Sathishkumar, Panagiotou, Styliani, Dahl, Niklas, Friedländer, Marc R., Gallant, Caroline J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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.
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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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