Evidence map›Paper›PMID 31462402›Full record

ArticleJournal of the American Society of Nephrology : JASN2019

Single-Cell Transcriptomic Map of the Human and Mouse Bladders.

Zhenyuan Yu, Jinling Liao, Yang Chen, Chunlin Zou, Haiying Zhang, Jiwen Cheng, Deyun Liu, Tianyu Li, Qingyun Zhang, Jiaping Li and 6 more

Abstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.

0numbers the graph read from it
0cells of the map it votes in
112citing 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

112 citing papers in PubMed.

  1. Review
  2. Article
  3. Inherited Susceptibility to Urinary Tract Infections from Kidney Papilla to Bladder.medRxiv : the preprint server for health sciences · 2026
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  10. Dysregulation of CD39/Ectonucleoside Triphosphate Diphosphohydrolase 1 Causes Urinary Bladder Dysfunction with Abnormal Smooth Muscle Contractility.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
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  13. Review
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  19. Review
  20. Article

52 more citing papers are in PubMed but not listed here.

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

16 authors.

Zhenyuan YuInstitute of Urology and Nephrology.
Jinling LiaoCenter for Genomic and Personalized Medicine.
Yang ChenInstitute of Urology and Nephrology.
Chunlin ZouKey Laboratory of Longevity and Ageing-related Diseases, Ministry of Education, Nanning, China.
Haiying ZhangCenter for Genomic and Personalized Medicine.
Jiwen ChengInstitute of Urology and Nephrology.
Deyun LiuInstitute of Urology and Nephrology.
Tianyu LiInstitute of Urology and Nephrology.
Qingyun ZhangInstitute of Urology and Nephrology.
Jiaping LiCardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Xiaobo YangCenter for Genomic and Personalized Medicine.
Yu YeInstitute of Urology and Nephrology.
Zhiguang HuangCenter for Genomic and Personalized Medicine.
Xinyang LongCenter for Genomic and Personalized Medicine.
Rirong YangCenter for Genomic and Personalized Medicine, zengnanmo@hotmail.com 520yrr@163.com.
Zengnan MoInstitute of Urology and Nephrology, zengnanmo@hotmail.com 520yrr@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHaving a comprehensive map of the cellular anatomy of the normal human bladder is vital to understanding the cellular origins of benign bladder disease and bladder cancer.

methodsWe used single-cell RNA sequencing (scRNA-seq) of 12,423 cells from healthy human bladder tissue samples taken from patients with bladder cancer and 12,884 cells from mouse bladders to classify bladder cell types and their underlying functions.

resultsWe created a single-cell transcriptomic map of human and mouse bladders, including 16 clusters of human bladder cells and 15 clusters of mouse bladder cells. The homology and heterogeneity of human and mouse bladder cell types were compared and both conservative and heterogeneous aspects of human and mouse bladder evolution were identified. We also discovered two novel types of human bladder cells. One type is

conclusionsThis transcriptomic map provides a resource for studying bladder cell types, specific cell markers, signaling receptors, and genes that will help us to learn more about the relationship between bladder cell types and diseases.

Indexed as

Single-Cell AnalysisTranscriptomeAnimalsFemaleHumansMaleMiceMice, Inbred C57BLRatsRats, Sprague-DawleyReceptors, Adrenergic, alpha-2Receptors, Histamine H2Sequence Analysis, RNATroponin TUrinary BladderADRA2A protein, humanReceptors, Adrenergic, alpha-2Receptors, Histamine H2Troponin Tbladder cellsepithelial cellsinterstitial cellssingle-cell RNA sequencingsingle-cell transcriptomic map

Identifiers

PMID31462402
PMCPMC6830796

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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.