Evidence map›Paper›PMID 41929159›Full record

ArticlebioRxiv : the preprint server for biology2026

Tabula Sapiens reveals the non-coding RNA landscape across 22 human organs and tissues.

Jaeyoon Lee, Madhav Mantri, Kavita Murthy, Luise A Seeker, George Crowley, Robert C Jones, Tabula Sapiens Consortium, Stephen R Quake

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

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

8 authors.

Jaeyoon LeeDepartment of Bioengineering, Stanford University; Stanford, CA 94305, USA.
Madhav MantriDepartment of Bioengineering, Stanford University; Stanford, CA 94305, USA.ORCID 0000-0001-9844-7852
Kavita MurthyDepartment of Bioengineering, Stanford University; Stanford, CA 94305, USA.ORCID 0009-0003-5193-1331
Luise A SeekerDepartment of Bioengineering, Stanford University; Stanford, CA 94305, USA.ORCID 0000-0001-6375-6372
George CrowleyDepartment of Bioengineering, Stanford University; Stanford, CA 94305, USA.
Robert C JonesDepartment of Bioengineering, Stanford University; Stanford, CA 94305, USA.
Tabula Sapiens Consortium
Stephen R QuakeDepartment of Bioengineering, Stanford University; Stanford, CA 94305, USA.ORCID 0000-0002-1613-0809

Funding

UCSF Liver Core CenterP30DK026743 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Holger Willenbring · 1986 to 2026
$30.7M
NIDDK NIH HHS P30 DK026743
6 · The paper itself

Abstract

The biological significance of non-coding RNAs has been increasingly appreciated as their roles in various cellular processes are uncovered. However, single-cell transcriptomic profiling of human samples has focused primarily on protein-coding genes by targeting polyadenylated RNA transcripts, leaving the expression patterns of non-coding RNA underexplored. Here, we expand Tabula Sapiens to the non-coding transcriptome with single-cell and single-nucleus total RNA sequencing across 22 human organs and tissues. By simultaneously profiling both polyadenylated and non-polyadenylated transcripts, the resulting dataset enables joint analysis of the protein-coding and non-coding transcriptomes at single-cell and subcellular resolution. Using these data, we assessed the cell type specificity of non-coding genes and found that a greater proportion of non-coding genes are differentially expressed by single cell types compared to protein-coding genes. We then compared single-cell and single-nucleus data from the same samples to infer subcellular localization patterns, revealing cell type-dependent nuclear and cytoplasmic enrichment of specific non-coding RNAs. Next, we showed that tRNA repertoires are cell type-specific and that this specificity is not simply explained by differences in codon usage across cell types. Finally, we characterized dynamic expression patterns of non-coding RNAs across the cell cycle and senescence-associated cell states, identifying non-coding genes with putative roles in cell division and growth arrest. Our work establishes a resource for investigating the landscape of non-coding RNAs across a diverse set of human tissues and cell types.

Identifiers

PMID41929159
PMCPMC13041822

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.