Evidence map›Paper›PMID 40107723›Full record

ArticleGenome research2025

Heterogeneous and novel transcript expression in single cells of patient-derived clear cell renal cell carcinoma organoids.

Tülay Karakulak, Natalia Zajac, Hella Anna Bolck, Anna Bratus-Neuenschwander, Qin Zhang, Weihong Qi, Debleena Basu, Tamara Carrasco Oltra, Hubert Rehrauer, Christian von Mering and 2 more

Abstract read
In one paragraph

Article in Genome research, 2025. 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. Article
  2. Oncology research · 2026
    Article
  3. Article
  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

12 authors.

Tülay Karakulak *Department of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland.
Natalia Zajac *Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
Hella Anna BolckDepartment of Pathology and Molecular Pathology, University of Zurich and University Hospital Zurich, 8091 Zurich, Switzerland.
Anna Bratus-NeuenschwanderFunctional Genomics Center Zurich, ETH, 8057 Zurich, Switzerland.
Qin ZhangFunctional Genomics Center Zurich, ETH, 8057 Zurich, Switzerland.
Weihong QiSwiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.ORCID 0000-0001-8581-908X
Debleena BasuDepartment of Pathology and Molecular Pathology, University of Zurich and University Hospital Zurich, 8091 Zurich, Switzerland.
Tamara Carrasco OltraFunctional Genomics Center Zurich, ETH, 8057 Zurich, Switzerland.
Hubert RehrauerSwiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.ORCID 0000-0001-7612-9394
Christian von MeringDepartment of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland.
Holger MochDepartment of Pathology and Molecular Pathology, University of Zurich and University Hospital Zurich, 8091 Zurich, Switzerland.
Abdullah KahramanSwiss Institute of Bioinformatics, 1015 Lausanne, Switzerland; abdullah.kahraman@fhnw.ch.ORCID 0000-0003-3523-4467

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Splicing is often dysregulated in cancer, leading to alterations in the expression of canonical and alternatively spliced isoforms. We used the multiplexed arrays sequencing (MAS-seq) protocol of PacBio to sequence full-length transcripts in patient-derived organoid (PDO) cells of clear cell renal cell carcinoma (ccRCC). The sequencing revealed a heterogeneous dysregulation of splicing across 2599 single ccRCC cells. The majority of novel transcripts could be removed with stringent filtering criteria. The remaining 31,531 transcripts (36.6% of the 86,182 detected transcripts on average) were previously uncharacterized. In contrast to known transcripts, many of the novel transcripts have cell-specific expression. Novel transcripts common to ccRCC cells belong to genes involved in ccRCC-related pathways, such as hypoxia and oxidative phosphorylation. A novel transcript of the ccRCC-related gene nicotinamide N-methyltransferase is validated using PCR. Moreover, >50% of novel transcripts possess a predicted complete protein-coding open reading frame. An analysis of the most dominant transcript-switching events between ccRCC and non-ccRCC cells shows many switching events that are cell- and sample-specific, underscoring the heterogeneity of alternative splicing events in ccRCC. Overall, our study elucidates the intricate transcriptomic architecture of ccRCC, underlying its aggressive phenotype and providing insights into its molecular complexity.

Indexed as

Carcinoma, Renal CellGene Expression Regulation, NeoplasticKidney NeoplasmsOrganoidsAlternative SplicingGene Expression ProfilingHumansSingle-Cell AnalysisTranscriptome

Identifiers

PMID40107723
PMCPMC12047245

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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.