Evidence map›Paper›PMID 41473271›Full record

ArticlebioRxiv : the preprint server for biology2025

Fundamental errors in RNA velocity arising from the omission of cell growth.

Vishal Shah, Hia Ming, Brian Cleary

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Vishal ShahProgram in Bioinformatics, Boston University, Boston, MA.ORCID 0000-0002-7033-8571
Hia MingDepartment of Biomedical Engineering, Boston University, Boston, MA.
Brian ClearyProgram in Bioinformatics, Boston University, Boston, MA.

Funding

Measuring and modeling gene expression trajectories: new computational-experimental approachesR35GM160123 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Brian Lowman Cleary · 2025 to 2026
$899k
NIGMS NIH HHS R35 GM160123
6 · The paper itself

Abstract

The ultimate promise of single cell "RNA velocity" methods is compelling: in principle, one can project forward the transcriptional state of each cell and map long-term expression trajectories. While there has been robust and ongoing articulation of limitations of existing methods, consensus frameworks continue to overlook a fundamental aspect of cellular dynamics: growth. In a growing population, biomass (including RNA and other macromolecules) is constantly accumulating. This implies a homeostatic velocity (defined in the terms of production and degradation) that is positive, which is at odds with the conventional estimation, interpretation, and uses of velocity. Here, we investigate the consequences of omitting cell growth from the RNA velocity framework. We demonstrate systematic errors that arise from ignoring cell growth and show evidence for these artifacts in existing data. Finally, we point the way forward and highlight that explicitly accounting for cell growth can lead to new biological insights.

Identifiers

PMID41473271
PMCPMC12746066

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.