Cargando…
Microdroplet-based one-step RT-PCR for ultrahigh throughput single-cell multiplex gene expression analysis and rare cell detection
Gene expression analysis of individual cells enables characterization of heterogeneous and rare cell populations, yet widespread implementation of existing single-cell gene analysis techniques has been hindered due to limitations in scale, ease, and cost. Here, we present a novel microdroplet-based,...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7990930/ https://www.ncbi.nlm.nih.gov/pubmed/33762663 http://dx.doi.org/10.1038/s41598-021-86087-4 |
_version_ | 1783669152825737216 |
---|---|
author | Ma, Jennifer Tran, Gary Wan, Alwin M. D. Young, Edmond W. K. Kumacheva, Eugenia Iscove, Norman N. Zandstra, Peter W. |
author_facet | Ma, Jennifer Tran, Gary Wan, Alwin M. D. Young, Edmond W. K. Kumacheva, Eugenia Iscove, Norman N. Zandstra, Peter W. |
author_sort | Ma, Jennifer |
collection | PubMed |
description | Gene expression analysis of individual cells enables characterization of heterogeneous and rare cell populations, yet widespread implementation of existing single-cell gene analysis techniques has been hindered due to limitations in scale, ease, and cost. Here, we present a novel microdroplet-based, one-step reverse-transcriptase polymerase chain reaction (RT-PCR) platform and demonstrate the detection of three targets simultaneously in over 100,000 single cells in a single experiment with a rapid read-out. Our customized reagent cocktail incorporates the bacteriophage T7 gene 2.5 protein to overcome cell lysate-mediated inhibition and allows for one-step RT-PCR of single cells encapsulated in nanoliter droplets. Fluorescent signals indicative of gene expressions are analyzed using a probabilistic deconvolution method to account for ambient RNA and cell doublets and produce single-cell gene signature profiles, as well as predict cell frequencies within heterogeneous samples. We also developed a simulation model to guide experimental design and optimize the accuracy and precision of the assay. Using mixtures of in vitro transcripts and murine cell lines, we demonstrated the detection of single RNA molecules and rare cell populations at a frequency of 0.1%. This low cost, sensitive, and adaptable technique will provide an accessible platform for high throughput single-cell analysis and enable a wide range of research and clinical applications. |
format | Online Article Text |
id | pubmed-7990930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79909302021-03-26 Microdroplet-based one-step RT-PCR for ultrahigh throughput single-cell multiplex gene expression analysis and rare cell detection Ma, Jennifer Tran, Gary Wan, Alwin M. D. Young, Edmond W. K. Kumacheva, Eugenia Iscove, Norman N. Zandstra, Peter W. Sci Rep Article Gene expression analysis of individual cells enables characterization of heterogeneous and rare cell populations, yet widespread implementation of existing single-cell gene analysis techniques has been hindered due to limitations in scale, ease, and cost. Here, we present a novel microdroplet-based, one-step reverse-transcriptase polymerase chain reaction (RT-PCR) platform and demonstrate the detection of three targets simultaneously in over 100,000 single cells in a single experiment with a rapid read-out. Our customized reagent cocktail incorporates the bacteriophage T7 gene 2.5 protein to overcome cell lysate-mediated inhibition and allows for one-step RT-PCR of single cells encapsulated in nanoliter droplets. Fluorescent signals indicative of gene expressions are analyzed using a probabilistic deconvolution method to account for ambient RNA and cell doublets and produce single-cell gene signature profiles, as well as predict cell frequencies within heterogeneous samples. We also developed a simulation model to guide experimental design and optimize the accuracy and precision of the assay. Using mixtures of in vitro transcripts and murine cell lines, we demonstrated the detection of single RNA molecules and rare cell populations at a frequency of 0.1%. This low cost, sensitive, and adaptable technique will provide an accessible platform for high throughput single-cell analysis and enable a wide range of research and clinical applications. Nature Publishing Group UK 2021-03-24 /pmc/articles/PMC7990930/ /pubmed/33762663 http://dx.doi.org/10.1038/s41598-021-86087-4 Text en © The Author(s) 2021 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ma, Jennifer Tran, Gary Wan, Alwin M. D. Young, Edmond W. K. Kumacheva, Eugenia Iscove, Norman N. Zandstra, Peter W. Microdroplet-based one-step RT-PCR for ultrahigh throughput single-cell multiplex gene expression analysis and rare cell detection |
title | Microdroplet-based one-step RT-PCR for ultrahigh throughput single-cell multiplex gene expression analysis and rare cell detection |
title_full | Microdroplet-based one-step RT-PCR for ultrahigh throughput single-cell multiplex gene expression analysis and rare cell detection |
title_fullStr | Microdroplet-based one-step RT-PCR for ultrahigh throughput single-cell multiplex gene expression analysis and rare cell detection |
title_full_unstemmed | Microdroplet-based one-step RT-PCR for ultrahigh throughput single-cell multiplex gene expression analysis and rare cell detection |
title_short | Microdroplet-based one-step RT-PCR for ultrahigh throughput single-cell multiplex gene expression analysis and rare cell detection |
title_sort | microdroplet-based one-step rt-pcr for ultrahigh throughput single-cell multiplex gene expression analysis and rare cell detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7990930/ https://www.ncbi.nlm.nih.gov/pubmed/33762663 http://dx.doi.org/10.1038/s41598-021-86087-4 |
work_keys_str_mv | AT majennifer microdropletbasedonesteprtpcrforultrahighthroughputsinglecellmultiplexgeneexpressionanalysisandrarecelldetection AT trangary microdropletbasedonesteprtpcrforultrahighthroughputsinglecellmultiplexgeneexpressionanalysisandrarecelldetection AT wanalwinmd microdropletbasedonesteprtpcrforultrahighthroughputsinglecellmultiplexgeneexpressionanalysisandrarecelldetection AT youngedmondwk microdropletbasedonesteprtpcrforultrahighthroughputsinglecellmultiplexgeneexpressionanalysisandrarecelldetection AT kumachevaeugenia microdropletbasedonesteprtpcrforultrahighthroughputsinglecellmultiplexgeneexpressionanalysisandrarecelldetection AT iscovenormann microdropletbasedonesteprtpcrforultrahighthroughputsinglecellmultiplexgeneexpressionanalysisandrarecelldetection AT zandstrapeterw microdropletbasedonesteprtpcrforultrahighthroughputsinglecellmultiplexgeneexpressionanalysisandrarecelldetection |