Evidence map›Paper›PMID 41118514›Full record

ArticleNucleic acids research2026

RNAPaceDB: a dedicated database to dissect RNA velocity across diverse cell types.

Hui Liu, Honghan Zhou, Siru Yang, Weicheng Ma, Jun Wang, Nan Zhang, Huicheng Zhang, Wen Huang, Xin Zhong, Chaohan Xu and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. 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

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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

11 authors.

Hui LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Honghan ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Siru YangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Weicheng MaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Jun WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Nan ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Huicheng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Wen HuangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xin ZhongDepartment of Pathophysiology, School of Basic medicine, Harbin Medical University, Harbin 150081, China.
Chaohan XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0001-5145-8757
Shuyuan WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0001-9571-0299

Funding

National Natural Science Foundation of China 62272139Natural Science Foundation of Heilongjiang Province LH2022C056Natural Science Foundation of Heilongjiang Province LH2023C102
6 · The paper itself

Abstract

RNA velocity, which reflects the balance between nascent RNA synthesis and mature RNA degradation, provides a kinetic perspective to explore gene expression dynamics and cellular state transitions, offering profound insights into diverse biological processes and disease mechanisms. Deciphering RNA velocity patterns across cell types and contexts will deepen our understanding of the temporal logic of gene regulation and facilitating the discovery of novel biomarkers and therapeutic targets. Here, we present RNAPaceDB (http://biocclab.cn/RNAPaceDB/), a dedicated database to dissect RNA velocity across diverse cell types. RNAPaceDB integrates single-cell RNA sequencing profiles from 144 datasets, encompassing over 2.1 million cells across 81 cell types and 41 diseases, and offers 4380 velocity stream plots derived from six computational models. Using RNAPaceDB, users can explore RNA velocity profiles of >18 000 genes across cell development processes. Additionally, RNAPaceDB provides integrated online interfaces to retrieve and analyze cell cluster distribution, cell development trajectories, cell type-specific differential velocity genes, and functional enrichments under varying conditions. Collectively, RNAPaceDB serves as a valuable resource for deciphering the temporal logic of gene expression dynamics, facilitating discoveries of regulatory mechanisms, biomarkers, and therapeutic targets in precision medicine and systems biology.

Indexed as

Databases, GeneticDatabases, Nucleic AcidRNAAnimalsGene Expression RegulationHumansRNA StabilitySequence Analysis, RNASingle-Cell AnalysisSoftwareRNA

Identifiers

PMID41118514
PMCPMC12807595

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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.