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Single-cell protein-mRNA correlation analysis enabled by multiplexed dual-analyte co-detection
We have investigated the correlation between proteins and mRNAs in single cells employing an integrated workflow for dual-analyte co-detection. This is achieved by combining the oligo extension reaction (OER), which converts protein levels to DNA levels, with reverse transcription for mRNA detection...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459813/ https://www.ncbi.nlm.nih.gov/pubmed/28584233 http://dx.doi.org/10.1038/s41598-017-03057-5 |
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author | Gong, Haibiao Wang, Xiaohui Liu, Benjamin Boutet, Stephane Holcomb, Ilona Dakshinamoorthy, Gajalakshmi Ooi, Aik Sanada, Chad Sun, Gang Ramakrishnan, Ramesh |
author_facet | Gong, Haibiao Wang, Xiaohui Liu, Benjamin Boutet, Stephane Holcomb, Ilona Dakshinamoorthy, Gajalakshmi Ooi, Aik Sanada, Chad Sun, Gang Ramakrishnan, Ramesh |
author_sort | Gong, Haibiao |
collection | PubMed |
description | We have investigated the correlation between proteins and mRNAs in single cells employing an integrated workflow for dual-analyte co-detection. This is achieved by combining the oligo extension reaction (OER), which converts protein levels to DNA levels, with reverse transcription for mRNA detection. Unsupervised gene expression profiling analysis, including principal component analysis and hierarchical clustering, revealed different aspects of the protein-mRNA relationship. Violin plot analysis showed that some genes exhibited similar distribution patterns for proteins and mRNAs. We also demonstrate that cells can be separated into subpopulations based on their protein-mRNA expression profiles, and that different subpopulations have distinct correlation coefficient values. Our results demonstrated that integrated investigations of mRNA and protein levels in single cells allows comprehensive analysis not attainable at bulk levels. |
format | Online Article Text |
id | pubmed-5459813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54598132017-06-06 Single-cell protein-mRNA correlation analysis enabled by multiplexed dual-analyte co-detection Gong, Haibiao Wang, Xiaohui Liu, Benjamin Boutet, Stephane Holcomb, Ilona Dakshinamoorthy, Gajalakshmi Ooi, Aik Sanada, Chad Sun, Gang Ramakrishnan, Ramesh Sci Rep Article We have investigated the correlation between proteins and mRNAs in single cells employing an integrated workflow for dual-analyte co-detection. This is achieved by combining the oligo extension reaction (OER), which converts protein levels to DNA levels, with reverse transcription for mRNA detection. Unsupervised gene expression profiling analysis, including principal component analysis and hierarchical clustering, revealed different aspects of the protein-mRNA relationship. Violin plot analysis showed that some genes exhibited similar distribution patterns for proteins and mRNAs. We also demonstrate that cells can be separated into subpopulations based on their protein-mRNA expression profiles, and that different subpopulations have distinct correlation coefficient values. Our results demonstrated that integrated investigations of mRNA and protein levels in single cells allows comprehensive analysis not attainable at bulk levels. Nature Publishing Group UK 2017-06-05 /pmc/articles/PMC5459813/ /pubmed/28584233 http://dx.doi.org/10.1038/s41598-017-03057-5 Text en © The Author(s) 2017 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 | Article Gong, Haibiao Wang, Xiaohui Liu, Benjamin Boutet, Stephane Holcomb, Ilona Dakshinamoorthy, Gajalakshmi Ooi, Aik Sanada, Chad Sun, Gang Ramakrishnan, Ramesh Single-cell protein-mRNA correlation analysis enabled by multiplexed dual-analyte co-detection |
title | Single-cell protein-mRNA correlation analysis enabled by multiplexed dual-analyte co-detection |
title_full | Single-cell protein-mRNA correlation analysis enabled by multiplexed dual-analyte co-detection |
title_fullStr | Single-cell protein-mRNA correlation analysis enabled by multiplexed dual-analyte co-detection |
title_full_unstemmed | Single-cell protein-mRNA correlation analysis enabled by multiplexed dual-analyte co-detection |
title_short | Single-cell protein-mRNA correlation analysis enabled by multiplexed dual-analyte co-detection |
title_sort | single-cell protein-mrna correlation analysis enabled by multiplexed dual-analyte co-detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459813/ https://www.ncbi.nlm.nih.gov/pubmed/28584233 http://dx.doi.org/10.1038/s41598-017-03057-5 |
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