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  RNA velocity of single cells.

La Manno, G., Soldatov, R., Zeisel, A., Braun, E., Hochgerner, H., Petukhov, V., et al. (2018). RNA velocity of single cells. Nature, 560(7719), 494-498. doi:10.1038/s41586-018-0414-6.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-EA90-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-7BE8-E
Genre: Journal Article

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 Creators:
La Manno, G., Author
Soldatov, R., Author
Zeisel, A., Author
Braun, E., Author
Hochgerner, H., Author
Petukhov, V., Author
Lidschreiber, K., Author
Kastriti, M. E., Author
Lönnerberg, P., Author
Furlan, A., Author
Fan, J., Author
Borm, L. E., Author
Liu, Z., Author
van Bruggen, D., Author
Guo, J., Author
He, X., Author
Barker, R., Author
Sundström, E., Author
Castelo-Branco, G., Author
Cramer, P.1, Author              
Adameyko, I., AuthorLinnarsson, S., AuthorKharchenko, P. V., Author more..
Affiliations:
1Department of Molecular Biology, MPI for Biophysical Chemistry, Max Planck Society, ou_1863498              

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 Abstract: RNA abundance is a powerful indicator of the state of individual cells. Single-cell RNA sequencing can reveal RNA abundance with high quantitative accuracy, sensitivity and throughput1. However, this approach captures only a static snapshot at a point in time, posing a challenge for the analysis of time-resolved phenomena such as embryogenesis or tissue regeneration. Here we show that RNA velocity-the time derivative of the gene expression state-can be directly estimated by distinguishing between unspliced and spliced mRNAs in common single-cell RNA sequencing protocols. RNA velocity is a high-dimensional vector that predicts the future state of individual cells on a timescale of hours. We validate its accuracy in the neural crest lineage, demonstrate its use on multiple published datasets and technical platforms, reveal the branching lineage tree of the developing mouse hippocampus, and examine the kinetics of transcription in human embryonic brain. We expect RNA velocity to greatly aid the analysis of developmental lineages and cellular dynamics, particularly in humans.

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Language(s): eng - English
 Dates: 2018-08-082018-08-23
 Publication Status: Published in print
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 Rev. Method: Peer
 Identifiers: DOI: 10.1038/s41586-018-0414-6
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Title: Nature
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Pages: - Volume / Issue: 560 (7719) Sequence Number: - Start / End Page: 494 - 498 Identifier: -