Evidence map›Paper›PMID 42135486›Full record

ArticleNature methods2026

Unraveling lncRNA diversity at a single cell resolution and in a spatial context across different cancer types.

P Prakrithi, Tuan Vo, Zherui Xiong, Hani Vu, Loan T Nguyen, Andrew Newman, Julie Wilhelmey, Vicki Whitehall, Jazmina L Gonzalez Cruz, Simon Wood and 3 more

Abstract read
In one paragraph

Article in Nature methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
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

13 authors.

P PrakrithiThe University of Queensland and Indian Institute of Technology Delhi (UQ-IITD) Research Academy, New Delhi, India.ORCID http://orcid.org/0000-0003-4816-8817
Tuan VoInstitute for Molecular Biosciences, The University of Queensland, St. Lucia, Queensland, Australia.ORCID http://orcid.org/0000-0002-9980-8186
Zherui XiongQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-5038-5629
Hani VuQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID http://orcid.org/0009-0002-4337-366X
Loan T NguyenQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, Queensland, Australia.
Andrew NewmanQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Julie WilhelmeyTakara Bio USA, San Jose, CA, USA.
Vicki WhitehallQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Jazmina L Gonzalez CruzFrazer Institute, The University of Queensland, Brisbane, Queensland, Australia.
Simon WoodDepartment of Urology, Princess Alexandra Hospital, Brisbane, Queensland, Australia.
Andrew J MallettInstitute for Molecular Biosciences, The University of Queensland, St. Lucia, Queensland, Australia.
Ishaan GuptaDepartment of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, New Delhi, India. Ishaan.Gupta@dbeb.iitd.ac.in.
Quan NguyenQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia. quan.nguyen@qimrb.edu.au.ORCID http://orcid.org/0000-0001-7870-5703

Funding

Department of Health | National Health and Medical Research Council (NHMRC) 2001514Department of Health | National Health and Medical Research Council (NHMRC) GNT2008928Indian Council of Medical Research (ICMR) IIRP-2023-2341/F1
6 · The paper itself

Abstract

Long noncoding RNAs (lncRNAs) participate in gene regulation underlying development and disease. Overcoming inherent limitations of bulk sequencing lncRNA analysis, we leveraged single-cell and spatial transcriptomics (ST) data to analyze 219,442 potential lncRNAs identified by the TAR-scRNA-seq pipeline across 13 cancer types. The lncRNA functions were assessed by identifying their cell-type specificity and spatial distributions across different tissue regions. Comparing with five existing databases, we confirmed shared lncRNAs and found 94,795 unannotated lncRNAs. The identified lncRNAs were experimentally validated across seven cancer types using three single-cell-resolution ST platforms and two long-read ST sequencing methods, encompassing both targeted and untargeted approaches. Genome-wide colocalization of lncRNAs with regulatory features, disease variants and pairwise spatial autocorrelation with protein-coding genes suggest potential functional roles. We built a free, fast and user-friendly database 'SPanC-Lnc' on AWS cloud. SPanC-Lnc will enable discovery of potentially functional lncRNAs specific for cell populations within heterogeneous tissues, providing new biological insights.

Indexed as

NeoplasmsRNA, Long NoncodingSingle-Cell AnalysisGene Expression Regulation, NeoplasticHumansSingle-Cell Gene Expression AnalysisSpatial TranscriptomicsRNA, Long Noncoding

Identifiers

PMID42135486
PMCPMC13259954

What OpenQuestion 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 OpenQuestion graph.