Single-cell RNA counting at allele and isoform resolution using Smart-seq3-Reference-Cited by-同舟云学术

Single-cell RNA counting at allele and isoform resolution using Smart-seq3

Published:2020-05-04 Issue:6 Volume:38 Page:708-714
ISSN:1087-0156
Container-title:Nature Biotechnology
language:en
Short-container-title:Nat Biotechnol

Author:

Hagemann-Jensen Michael^ORCID,Ziegenhain Christoph^ORCID,Chen Ping,Ramsköld Daniel^ORCID,Hendriks Gert-Jan,Larsson Anton J. M.,Faridani Omid R.,Sandberg Rickard^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

http://www.nature.com/articles/s41587-020-0497-0.pdf

Reference25 articles.

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2. Byrne, A. et al. Nanopore long-read RNAseq reveals widespread transcriptional variation among the surface receptors of individual B cells. Nat. Commun. 8, 16027 (2017).

3. Gupta, I. et al. Single-cell isoform RNA sequencing characterizes isoforms in thousands of cerebellar cells. Nat. Biotechnol. https://doi.org/10.1038/nbt.4259 (2018).

4. Mereu, E. et al. Benchmarking single-cell RNA sequencing protocols for cell atlas projects. Nat. Biotechnol. https://doi.org/10.1038/s41587-020-0469-4 (2020).

5. Ziegenhain, C. et al. Comparative analysis of single-cell RNA sequencing methods. Mol. Cell 65, 631–643 (2017).

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