Evidence map›Paper›PMID 41491261›Full record

ReviewEuropean journal of medical research2026

Single-cell profiling defines the cellular landscape of the urinary bladder: a scoping review.

Eugene Padi, Alexander Guldmann Clausen, Anastasia Buch Kjeldgaard, Mahboobeh Amoushahi, Clara Ibel Chamorro, Magdalena Fossum

Abstract readScoping ReviewReview
In one paragraph

Review in European journal of medical 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

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

6 authors.

Eugene PadiLaboratory of Tissue Engineering, Rigshospitalet, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Alexander Guldmann ClausenLaboratory of Tissue Engineering, Rigshospitalet, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Anastasia Buch KjeldgaardLaboratory of Tissue Engineering, Rigshospitalet, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Mahboobeh AmoushahiLaboratory of Tissue Engineering, Rigshospitalet, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Clara Ibel ChamorroLaboratory of Tissue Engineering, Rigshospitalet, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Magdalena FossumLaboratory of Tissue Engineering, Rigshospitalet, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. maria.magdalena.fossum@regionh.dk.

Funding

Novo Nordisk Fonden NNFSA170030576
6 · The paper itself

Abstract

backgroundThe urinary bladder contains a heterogeneous cell population. Multiple studies utilizing single-cell RNA sequencing techniques have uncovered the complex transcriptomic profile of cells in the healthy bladder.

objectiveThe present study aims to map existing evidence on the use of single-cell RNA sequencing to assess cellular heterogeneity in the healthy urinary bladder and to identify gaps in the literature that could guide future research.

designWe searched four online databases, supplemented with manual searches, to identify relevant studies that characterized various cell types of the bladder at single-cell resolution. Studies that did not meet the predefined inclusion criteria were excluded based on a protocol drafted a priori. We included only studies published in English.

resultsTwelve studies met the inclusion criteria, investigating various subtypes of cells: urothelial, interstitial, smooth muscle, immune, endothelial, mesothelial, and neural. A landmark study differentiating mural cells from fibroblasts was also presented. Another study compared the use of single-cell with single-nuclei RNA sequencing to assess the utility of the latter for cell identification. We further discussed the gaps and requirements necessary to implement single-cell RNA sequencing in a clinical setting.

conclusionThe combined results highlight several rare and newly identified cell types in different compartments of the urinary bladder. Data integration and validation across multiple modalities are critical steps forward to resolve the cellular complexity of the urinary bladder.

Indexed as

Single-Cell AnalysisUrinary BladderGene Expression ProfilingHumansSequence Analysis, RNATranscriptomeBladderDifferentially expressed genesScRNA-seqTranscriptomicsUnsupervised clustering

Identifiers

PMID41491261
PMCPMC12870175

What OpenQuestion holds

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Registered trials

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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.