000265419 001__ 265419
000265419 005__ 20190506141215.0
000265419 02470 $$2DOI$$a10.1038/s41586-018-0414-6
000265419 02470 $$2PMID$$a30089906
000265419 02470 $$a2-s2.0-8505210923$$2ScopusID
000265419 02470 $$aWOS:000442483400043$$2ISI
000265419 037__ $$aARTICLE
000265419 245__ $$aRNA velocity of single cells
000265419 260__ $$c2018-08-08
000265419 269__ $$a2018-08-08
000265419 336__ $$aJournal Articles
000265419 500__ $$aFree PMC Article.
000265419 520__ $$aRNA abundance is a powerful indicator of the state of individual cells. Single-cell RNA sequencing can reveal RNA abundance with high quantitative accuracy, sensitivity and throughput 1 . However, this approach captures only a static snapshot at a point in time, posing a challenge for the analysis of time-resolved phenomena such as embryogenesis or tissue regeneration. Here we show that RNA velocity—the time derivative of the gene expression state—can be directly estimated by distinguishing between unspliced and spliced mRNAs in common single-cell RNA sequencing protocols. RNA velocity is a high-dimensional vector that predicts the future state of individual cells on a timescale of hours. We validate its accuracy in the neural crest lineage, demonstrate its use on multiple published datasets and technical platforms, reveal the branching lineage tree of the developing mouse hippocampus, and examine the kinetics of transcription in human embryonic brain. We expect RNA velocity to greatly aid the analysis of developmental lineages and cellular dynamics, particularly in humans.
000265419 700__ $$aLa Manno, Gioele
000265419 700__ $$aSoldatov, Ruslan
000265419 700__ $$aZeisel, Amit
000265419 700__ $$aBraun, Emelie
000265419 700__ $$aHochgerner, Hannah
000265419 700__ $$aPetukhov, Viktor
000265419 700__ $$aLidschreiber, Katja
000265419 700__ $$aKastriti, Maria E.
000265419 700__ $$aLönnerberg, Peter
000265419 700__ $$aFurlan, Alessandro
000265419 700__ $$aFan, Jean
000265419 700__ $$aBorm, Lars E.
000265419 700__ $$aLiu, Zehua
000265419 700__ $$avan Bruggen, David
000265419 700__ $$aGuo, Jimin
000265419 700__ $$aHe, Xiaoling
000265419 700__ $$aBarker, Roger
000265419 700__ $$aSundström, Erik
000265419 700__ $$aCastelo-Branco, Gonçalo
000265419 700__ $$aCramer, Patrick
000265419 700__ $$aAdameyko, Igor
000265419 700__ $$aLinnarsson, Sten
000265419 700__ $$aKharchenko, Peter V.
000265419 773__ $$tNature$$j560$$k7719$$q494-498
000265419 85641 $$yFree PMC Article$$uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6130801/
000265419 8560_ $$feliane.blumer@epfl.ch
000265419 909CO $$particle$$ooai:infoscience.epfl.ch:265419
000265419 909C0 $$0265243$$zBlumer, Eliane$$meliane.blumer@epfl.ch$$xU13622$$pGR-LAMAN$$yApproved
000265419 960__ $$aeliane.blumer@epfl.ch
000265419 961__ $$aalessandra.bianchi@epfl.ch
000265419 973__ $$aOTHER$$sPUBLISHED$$rREVIEWED
000265419 980__ $$aARTICLE
000265419 981__ $$aoverwrite