dc.contributor.author
Salmen, Fredrik
dc.contributor.author
De Jonghe, Joachim
dc.contributor.author
Kaminski, Tomasz S.
dc.contributor.author
Alemany, Anna
dc.contributor.author
Parada, Guillermo E.
dc.contributor.author
Verity-Legg, Joe
dc.contributor.author
Yanagida, Ayaka
dc.contributor.author
Kohler, Timo N.
dc.contributor.author
Battich, Nicholas
dc.contributor.author
van den Brekel, Floris
dc.contributor.author
Ellermann, Anna L.
dc.contributor.author
Martinez Arias, Alfonso
dc.contributor.author
Nichols, Jennifer
dc.contributor.author
Hemberg, Martin
dc.contributor.author
Hollfelder, Florian
dc.contributor.author
van Oudenaarden, Alexander
dc.date.issued
2022-09-08T06:04:41Z
dc.date.issued
2022-09-08T06:04:41Z
dc.identifier
Salmen F, De Jonghe J, Kaminski TS, Alemany A, Parada GE, Verity-Legg J, Yanagida A, Kohler TN, Battich N, van den Brekel F, Ellermann AL, Arias AM, Nichols J, Hemberg M, Hollfelder F, van Oudenaarden A. High-throughput total RNA sequencing in single cells using VASA-seq. Nat Biotechnol. 2022 Jun 27. DOI: 10.1038/s41587-022-01361-8
dc.identifier
http://hdl.handle.net/10230/54019
dc.identifier
http://dx.doi.org/10.1038/s41587-022-01361-8
dc.description.abstract
Data de publicació electrònica: 27-06-2022
dc.description.abstract
Most methods for single-cell transcriptome sequencing amplify the termini of polyadenylated transcripts, capturing only a small fraction of the total cellular transcriptome. This precludes the detection of many long non-coding, short non-coding and non-polyadenylated protein-coding transcripts and hinders alternative splicing analysis. We, therefore, developed VASA-seq to detect the total transcriptome in single cells, which is enabled by fragmenting and tailing all RNA molecules subsequent to cell lysis. The method is compatible with both plate-based formats and droplet microfluidics. We applied VASA-seq to more than 30,000 single cells in the developing mouse embryo during gastrulation and early organogenesis. Analyzing the dynamics of the total single-cell transcriptome, we discovered cell type markers, many based on non-coding RNA, and performed in vivo cell cycle analysis via detection of non-polyadenylated histone genes. RNA velocity characterization was improved, accurately retracing blood maturation trajectories. Moreover, our VASA-seq data provide a comprehensive analysis of alternative splicing during mammalian development, which highlighted substantial rearrangements during blood development and heart morphogenesis.
dc.description.abstract
This work was supported by a European Research Council (ERC) Advanced Grant (ERC-AdG 742225-IntScOmics), a Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) TOP award (NWO-CW 714.016.001) and the Wellcome Trust (WT108438/C/15/Z). This work is part of the Oncode Institute, which is partly financed by the Dutch Cancer Society. J.D.J. received scholarship support from the Biotechnology and Biological Sciences Research Council (BBSRC), T.N.K. from AstraZeneca, A.L.E. from the Cambridge Trusts and the EU H2020 Marie Curie ITN MMBio and T.S.K. from an EU H2020 Marie Skłodowska-Curie Actions Individual Fellowship (MSCA-IF 750772). F.H. is an H2020 ERC Advanced Investigator (69566). M.H. was supported by a core grant from the Wellcome Trust and by funding from the Evergrande Center for Immunologic Diseases. J.N. was funded by the Wellcome Trust (03151/Z/16/Z). For the purpose of open access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission. A.Y. was funded by the BBSRC (RG83885), and the mice used in the study are associated with the Wellcome Trust Strategic Grant (105031). Parts of the illustrations were designed using BioRender.
dc.format
application/pdf
dc.format
application/pdf
dc.publisher
Nature Research
dc.relation
Nat Biotechnol. 2022 Jun 27
dc.relation
info:eu-repo/grantAgreement/EC/H2020/742225
dc.relation
info:eu-repo/grantAgreement/EC/H2020/750772
dc.rights
© The Author(s) 2022. 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
dc.rights
http://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Non-coding RNAs
dc.subject
Transcriptomics
dc.title
High-throughput total RNA sequencing in single cells using VASA-seq
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion