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Cell fixation and preservation for droplet-based single-cell transcriptomics
BACKGROUND: Recent developments in droplet-based microfluidics allow the transcriptional profiling of thousands of individual cells in a quantitative, highly parallel and cost-effective way. A critical, often limiting step is the preparation of cells in an unperturbed state, not altered by stress or...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5438562/ https://www.ncbi.nlm.nih.gov/pubmed/28526029 http://dx.doi.org/10.1186/s12915-017-0383-5 |
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author | Alles, Jonathan Karaiskos, Nikos Praktiknjo, Samantha D. Grosswendt, Stefanie Wahle, Philipp Ruffault, Pierre-Louis Ayoub, Salah Schreyer, Luisa Boltengagen, Anastasiya Birchmeier, Carmen Zinzen, Robert Kocks, Christine Rajewsky, Nikolaus |
author_facet | Alles, Jonathan Karaiskos, Nikos Praktiknjo, Samantha D. Grosswendt, Stefanie Wahle, Philipp Ruffault, Pierre-Louis Ayoub, Salah Schreyer, Luisa Boltengagen, Anastasiya Birchmeier, Carmen Zinzen, Robert Kocks, Christine Rajewsky, Nikolaus |
author_sort | Alles, Jonathan |
collection | PubMed |
description | BACKGROUND: Recent developments in droplet-based microfluidics allow the transcriptional profiling of thousands of individual cells in a quantitative, highly parallel and cost-effective way. A critical, often limiting step is the preparation of cells in an unperturbed state, not altered by stress or ageing. Other challenges are rare cells that need to be collected over several days or samples prepared at different times or locations. METHODS: Here, we used chemical fixation to address these problems. Methanol fixation allowed us to stabilise and preserve dissociated cells for weeks without compromising single-cell RNA sequencing data. RESULTS: By using mixtures of fixed, cultured human and mouse cells, we first showed that individual transcriptomes could be confidently assigned to one of the two species. Single-cell gene expression from live and fixed samples correlated well with bulk mRNA-seq data. We then applied methanol fixation to transcriptionally profile primary cells from dissociated, complex tissues. Low RNA content cells from Drosophila embryos, as well as mouse hindbrain and cerebellum cells prepared by fluorescence-activated cell sorting, were successfully analysed after fixation, storage and single-cell droplet RNA-seq. We were able to identify diverse cell populations, including neuronal subtypes. As an additional resource, we provide 'dropbead', an R package for exploratory data analysis, visualization and filtering of Drop-seq data. CONCLUSIONS: We expect that the availability of a simple cell fixation method will open up many new opportunities in diverse biological contexts to analyse transcriptional dynamics at single-cell resolution. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12915-017-0383-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5438562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54385622017-05-22 Cell fixation and preservation for droplet-based single-cell transcriptomics Alles, Jonathan Karaiskos, Nikos Praktiknjo, Samantha D. Grosswendt, Stefanie Wahle, Philipp Ruffault, Pierre-Louis Ayoub, Salah Schreyer, Luisa Boltengagen, Anastasiya Birchmeier, Carmen Zinzen, Robert Kocks, Christine Rajewsky, Nikolaus BMC Biol Methodology Article BACKGROUND: Recent developments in droplet-based microfluidics allow the transcriptional profiling of thousands of individual cells in a quantitative, highly parallel and cost-effective way. A critical, often limiting step is the preparation of cells in an unperturbed state, not altered by stress or ageing. Other challenges are rare cells that need to be collected over several days or samples prepared at different times or locations. METHODS: Here, we used chemical fixation to address these problems. Methanol fixation allowed us to stabilise and preserve dissociated cells for weeks without compromising single-cell RNA sequencing data. RESULTS: By using mixtures of fixed, cultured human and mouse cells, we first showed that individual transcriptomes could be confidently assigned to one of the two species. Single-cell gene expression from live and fixed samples correlated well with bulk mRNA-seq data. We then applied methanol fixation to transcriptionally profile primary cells from dissociated, complex tissues. Low RNA content cells from Drosophila embryos, as well as mouse hindbrain and cerebellum cells prepared by fluorescence-activated cell sorting, were successfully analysed after fixation, storage and single-cell droplet RNA-seq. We were able to identify diverse cell populations, including neuronal subtypes. As an additional resource, we provide 'dropbead', an R package for exploratory data analysis, visualization and filtering of Drop-seq data. CONCLUSIONS: We expect that the availability of a simple cell fixation method will open up many new opportunities in diverse biological contexts to analyse transcriptional dynamics at single-cell resolution. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12915-017-0383-5) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-19 /pmc/articles/PMC5438562/ /pubmed/28526029 http://dx.doi.org/10.1186/s12915-017-0383-5 Text en © Kocks et al. 2017 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 | Methodology Article Alles, Jonathan Karaiskos, Nikos Praktiknjo, Samantha D. Grosswendt, Stefanie Wahle, Philipp Ruffault, Pierre-Louis Ayoub, Salah Schreyer, Luisa Boltengagen, Anastasiya Birchmeier, Carmen Zinzen, Robert Kocks, Christine Rajewsky, Nikolaus Cell fixation and preservation for droplet-based single-cell transcriptomics |
title | Cell fixation and preservation for droplet-based single-cell transcriptomics |
title_full | Cell fixation and preservation for droplet-based single-cell transcriptomics |
title_fullStr | Cell fixation and preservation for droplet-based single-cell transcriptomics |
title_full_unstemmed | Cell fixation and preservation for droplet-based single-cell transcriptomics |
title_short | Cell fixation and preservation for droplet-based single-cell transcriptomics |
title_sort | cell fixation and preservation for droplet-based single-cell transcriptomics |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5438562/ https://www.ncbi.nlm.nih.gov/pubmed/28526029 http://dx.doi.org/10.1186/s12915-017-0383-5 |
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