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Linked optical and gene expression profiling of single cells at high-throughput
Single-cell RNA sequencing has emerged as a powerful tool for characterizing cells, but not all phenotypes of interest can be observed through changes in gene expression. Linking sequencing with optical analysis has provided insight into the molecular basis of cellular function, but current approach...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7041248/ https://www.ncbi.nlm.nih.gov/pubmed/32093753 http://dx.doi.org/10.1186/s13059-020-01958-9 |
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author | Zhang, Jesse Q. Siltanen, Christian A. Liu, Leqian Chang, Kai-Chun Gartner, Zev J. Abate, Adam R. |
author_facet | Zhang, Jesse Q. Siltanen, Christian A. Liu, Leqian Chang, Kai-Chun Gartner, Zev J. Abate, Adam R. |
author_sort | Zhang, Jesse Q. |
collection | PubMed |
description | Single-cell RNA sequencing has emerged as a powerful tool for characterizing cells, but not all phenotypes of interest can be observed through changes in gene expression. Linking sequencing with optical analysis has provided insight into the molecular basis of cellular function, but current approaches have limited throughput. Here, we present a high-throughput platform for linked optical and gene expression profiling of single cells. We demonstrate accurate fluorescence and gene expression measurements on thousands of cells in a single experiment. We use the platform to characterize DNA and RNA changes through the cell cycle and correlate antibody fluorescence with gene expression. The platform’s ability to isolate rare cell subsets and perform multiple measurements, including fluorescence and sequencing-based analysis, holds potential for scalable multi-modal single-cell analysis. |
format | Online Article Text |
id | pubmed-7041248 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70412482020-03-03 Linked optical and gene expression profiling of single cells at high-throughput Zhang, Jesse Q. Siltanen, Christian A. Liu, Leqian Chang, Kai-Chun Gartner, Zev J. Abate, Adam R. Genome Biol Method Single-cell RNA sequencing has emerged as a powerful tool for characterizing cells, but not all phenotypes of interest can be observed through changes in gene expression. Linking sequencing with optical analysis has provided insight into the molecular basis of cellular function, but current approaches have limited throughput. Here, we present a high-throughput platform for linked optical and gene expression profiling of single cells. We demonstrate accurate fluorescence and gene expression measurements on thousands of cells in a single experiment. We use the platform to characterize DNA and RNA changes through the cell cycle and correlate antibody fluorescence with gene expression. The platform’s ability to isolate rare cell subsets and perform multiple measurements, including fluorescence and sequencing-based analysis, holds potential for scalable multi-modal single-cell analysis. BioMed Central 2020-02-24 /pmc/articles/PMC7041248/ /pubmed/32093753 http://dx.doi.org/10.1186/s13059-020-01958-9 Text en © The Author(s) 2020 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 Zhang, Jesse Q. Siltanen, Christian A. Liu, Leqian Chang, Kai-Chun Gartner, Zev J. Abate, Adam R. Linked optical and gene expression profiling of single cells at high-throughput |
title | Linked optical and gene expression profiling of single cells at high-throughput |
title_full | Linked optical and gene expression profiling of single cells at high-throughput |
title_fullStr | Linked optical and gene expression profiling of single cells at high-throughput |
title_full_unstemmed | Linked optical and gene expression profiling of single cells at high-throughput |
title_short | Linked optical and gene expression profiling of single cells at high-throughput |
title_sort | linked optical and gene expression profiling of single cells at high-throughput |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7041248/ https://www.ncbi.nlm.nih.gov/pubmed/32093753 http://dx.doi.org/10.1186/s13059-020-01958-9 |
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