Evidence map›Paper›PMID 32747759›Full record

ArticleNature biotechnology2020

Generalizing RNA velocity to transient cell states through dynamical modeling.

Volker Bergen, Marius Lange, Stefan Peidli, F Alexander Wolf, Fabian J Theis

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In one paragraph

Article in Nature biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,789 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,789citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1,789 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  20. IGF2-associated tumor cells and APOE-positive macrophages define an imatinib resistance-associated niche in gastrointestinal stromal tumors.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026
    Article

1,729 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Volker BergenInstitute of Computational Biology, Helmholtz Center Munich, Munich, Germany.
Marius LangeInstitute of Computational Biology, Helmholtz Center Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-4846-1266
Stefan PeidliDepartment of Mathematics, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-4257-8690
F Alexander WolfInstitute of Computational Biology, Helmholtz Center Munich, Munich, Germany. alex.wolf@helmholtz-muenchen.de.ORCID http://orcid.org/0000-0002-8760-7838
Fabian J TheisInstitute of Computational Biology, Helmholtz Center Munich, Munich, Germany. fabian.theis@helmholtz-muenchen.de.ORCID http://orcid.org/0000-0002-2419-1943

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA velocity has opened up new ways of studying cellular differentiation in single-cell RNA-sequencing data. It describes the rate of gene expression change for an individual gene at a given time point based on the ratio of its spliced and unspliced messenger RNA (mRNA). However, errors in velocity estimates arise if the central assumptions of a common splicing rate and the observation of the full splicing dynamics with steady-state mRNA levels are violated. Here we present scVelo, a method that overcomes these limitations by solving the full transcriptional dynamics of splicing kinetics using a likelihood-based dynamical model. This generalizes RNA velocity to systems with transient cell states, which are common in development and in response to perturbations. We apply scVelo to disentangling subpopulation kinetics in neurogenesis and pancreatic endocrinogenesis. We infer gene-specific rates of transcription, splicing and degradation, recover each cell's position in the underlying differentiation processes and detect putative driver genes. scVelo will facilitate the study of lineage decisions and gene regulation.

Indexed as

Models, GeneticAnimalsCell CycleCell LineageDentate GyrusEndocrine SystemHumansKineticsMiceNeurogenesisRNARNA SplicingSingle-Cell AnalysisStem CellsStochastic ProcessesTranscription, GeneticRNA

Identifiers

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.