scSLAM-seq reveals core features of transcription dynamics in single cells-Reference-Cited by-同舟云学术

scSLAM-seq reveals core features of transcription dynamics in single cells

Published:2019-07-10 Issue:7765 Volume:571 Page:419-423
ISSN:0028-0836
Container-title:Nature
language:en
Short-container-title:Nature

Author:

Erhard Florian,Baptista Marisa A. P.,Krammer Tobias,Hennig Thomas,Lange Marius,Arampatzi Panagiota,Jürges Christopher S.,Theis Fabian J.,Saliba Antoine-Emmanuel,Dölken Lars

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41586-019-1369-y.pdf

Reference27 articles.

1. Wagner, A., Regev, A. & Yosef, N. Revealing the vectors of cellular identity with single-cell genomics. Nat. Biotechnol. 34, 1145–1160 (2016).

2. Dölken, L. et al. High-resolution gene expression profiling for simultaneous kinetic parameter analysis of RNA synthesis and decay. RNA 14, 1959–1972 (2008).

3. Herzog, V. A. et al. Thiol-linked alkylation of RNA to assess expression dynamics. Nat. Methods 14, 1198–1204 (2017).

4. Jürges, C., Dölken, L. & Erhard, F. Dissecting newly transcribed and old RNA using GRAND-SLAM. Bioinformatics 34, i218–i226 (2018).

5. La Manno, G. et al. RNA velocity of single cells. Nature 560, 494–498 (2018).

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