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Linking single-cell measurements of mass, growth rate, and gene expression
Mass and growth rate are highly integrative measures of cell physiology not discernable via genomic measurements. Here, we introduce a microfluidic platform enabling direct measurement of single-cell mass and growth rate upstream of highly multiplexed single-cell profiling such as single-cell RNA se...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260722/ https://www.ncbi.nlm.nih.gov/pubmed/30482222 http://dx.doi.org/10.1186/s13059-018-1576-0 |
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author | Kimmerling, Robert J. Prakadan, Sanjay M. Gupta, Alejandro J. Calistri, Nicholas L. Stevens, Mark M. Olcum, Selim Cermak, Nathan Drake, Riley S. Pelton, Kristine De Smet, Frederik Ligon, Keith L. Shalek, Alex K. Manalis, Scott R. |
author_facet | Kimmerling, Robert J. Prakadan, Sanjay M. Gupta, Alejandro J. Calistri, Nicholas L. Stevens, Mark M. Olcum, Selim Cermak, Nathan Drake, Riley S. Pelton, Kristine De Smet, Frederik Ligon, Keith L. Shalek, Alex K. Manalis, Scott R. |
author_sort | Kimmerling, Robert J. |
collection | PubMed |
description | Mass and growth rate are highly integrative measures of cell physiology not discernable via genomic measurements. Here, we introduce a microfluidic platform enabling direct measurement of single-cell mass and growth rate upstream of highly multiplexed single-cell profiling such as single-cell RNA sequencing. We resolve transcriptional signatures associated with single-cell mass and growth rate in L1210 and FL5.12 cell lines and activated CD8+ T cells. Further, we demonstrate a framework using these linked measurements to characterize biophysical heterogeneity in a patient-derived glioblastoma cell line with and without drug treatment. Our results highlight the value of coupled phenotypic metrics in guiding single-cell genomics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1576-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6260722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62607222018-11-30 Linking single-cell measurements of mass, growth rate, and gene expression Kimmerling, Robert J. Prakadan, Sanjay M. Gupta, Alejandro J. Calistri, Nicholas L. Stevens, Mark M. Olcum, Selim Cermak, Nathan Drake, Riley S. Pelton, Kristine De Smet, Frederik Ligon, Keith L. Shalek, Alex K. Manalis, Scott R. Genome Biol Method Mass and growth rate are highly integrative measures of cell physiology not discernable via genomic measurements. Here, we introduce a microfluidic platform enabling direct measurement of single-cell mass and growth rate upstream of highly multiplexed single-cell profiling such as single-cell RNA sequencing. We resolve transcriptional signatures associated with single-cell mass and growth rate in L1210 and FL5.12 cell lines and activated CD8+ T cells. Further, we demonstrate a framework using these linked measurements to characterize biophysical heterogeneity in a patient-derived glioblastoma cell line with and without drug treatment. Our results highlight the value of coupled phenotypic metrics in guiding single-cell genomics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1576-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-27 /pmc/articles/PMC6260722/ /pubmed/30482222 http://dx.doi.org/10.1186/s13059-018-1576-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Method Kimmerling, Robert J. Prakadan, Sanjay M. Gupta, Alejandro J. Calistri, Nicholas L. Stevens, Mark M. Olcum, Selim Cermak, Nathan Drake, Riley S. Pelton, Kristine De Smet, Frederik Ligon, Keith L. Shalek, Alex K. Manalis, Scott R. Linking single-cell measurements of mass, growth rate, and gene expression |
title | Linking single-cell measurements of mass, growth rate, and gene expression |
title_full | Linking single-cell measurements of mass, growth rate, and gene expression |
title_fullStr | Linking single-cell measurements of mass, growth rate, and gene expression |
title_full_unstemmed | Linking single-cell measurements of mass, growth rate, and gene expression |
title_short | Linking single-cell measurements of mass, growth rate, and gene expression |
title_sort | linking single-cell measurements of mass, growth rate, and gene expression |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260722/ https://www.ncbi.nlm.nih.gov/pubmed/30482222 http://dx.doi.org/10.1186/s13059-018-1576-0 |
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