Cell fixation and preservation for droplet-based single-cell transcriptomics

Jonathan Alles(United States Nuclear Regulatory Commission), Nikos Karaiskos(United States Nuclear Regulatory Commission), Samantha D. Praktiknjo(United States Nuclear Regulatory Commission), Stefanie Grosswendt(United States Nuclear Regulatory Commission), Philipp Wahle(MSB Medical School Berlin), Pierre-Louis Ruffault(Max Delbrück Center), Salah Ayoub(United States Nuclear Regulatory Commission), Luisa Schreyer(United States Nuclear Regulatory Commission), Anastasiya Boltengagen(United States Nuclear Regulatory Commission), Carmen Birchmeier(Max Delbrück Center), Robert P. Zinzen(MSB Medical School Berlin), Christine Kocks(United States Nuclear Regulatory Commission), Nikolaus Rajewsky(United States Nuclear Regulatory Commission)
bioRxiv (Cold Spring Harbor Laboratory)
January 10, 2017
Cited by 30Open Access
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Abstract

ABSTRACT 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 compromised by stress or ageing. Another challenge are rare cells that need to be collected over several days, or samples prepared at different times or locations. Results Here, we used chemical fixation to overcome these problems. Methanol fixation allowed us to stabilize and preserve dissociated cells for weeks. By using mixtures of fixed human and mouse cells, we 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 single cells from dissociated complex tissues. Low RNA content cells from Drosophila embryos, as well as mouse hindbrain and cerebellum cells sorted by FACS, 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.


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