Paper · 42967922
Single-cell profiling uncovers a rare mesenchymal-like urothelial state associated with sarcomatoid bladder cancer.
Jacobi JJ and 11 others. Cell Death Dis, 2026.
11 sourcespapers-2026-11-12-0.1.0
Cite this record
ConductScience Library. Single-cell profiling uncovers a rare mesenchymal-like urothelial state associated with sarcomatoid bladder cancer. Papers, record 42967922. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/42967922
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Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Title
- Single-cell profiling uncovers a rare mesenchymal-like urothelial state associated with sarcomatoid bladder cancer.
- Journal
- Cell Death Dis
- Year
- 2026
- Publication types
- Journal Article
- Revised in PubMed
- 2026-11-05
Source PubMed
Topics9
NLM's MeSH indexing of the paper, its major topics first.
| MeSH term | Major |
|---|---|
| Urinary Bladder Neoplasms | Major topic |
| Urothelium | Major topic |
| Single-Cell Analysis | Major topic |
| Animals | |
| Humans | |
| Mice | |
| Epithelial-Mesenchymal Transition | |
| Gene Expression Regulation, Neoplastic | |
| Single-Cell Gene Expression Analysis |
Source PubMed
Grants6
Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.
| Grant, as the record writes it | Agency | Country | NIH project | Stated by | Source |
|---|---|---|---|---|---|
| R50 CA283805 | NCI NIH HHS | United States | R50CA283805 | PubMed | NIH RePORTER |
| P30 CA016056 | NCI NIH HHS | United States | P30CA016056 | PubMed | NIH RePORTER |
| K08 CA252161 | NCI NIH HHS | United States | K08CA252161 | PubMed | NIH RePORTER |
| R01 CA308972 | NCI NIH HHS | United States | R01CA308972 | PubMed | NIH RePORTER |
| P30CA016056 | U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) | P30CA016056 | PubMed | NIH RePORTER | |
| K08CA252161 | U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) | K08CA252161 | PubMed | NIH RePORTER |
Trials0
The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.
None in this release.
Comments and corrections0
PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.
None in this release.
References42
The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.
| Order | PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|---|
| 1 | 30,643,263 | Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage. | Nat Immunol | 2019 | https://conductscience.org/library/papers/30643263 | PubMed |
| 2 | 29,732,388 | Systematic Review: Characteristics and Preclinical Uses of Bladder Cancer Cell Lines. | Bladder Cancer | 2018 | https://conductscience.org/library/papers/29732388 | PubMed |
| 3 | 15,840,768 | Gene deletion in urothelium by specific expression of Cre recombinase. | Am J Physiol Renal Physiol | 2005 | https://conductscience.org/library/papers/15840768 | PubMed |
| 4 | 31,974,247 | Single-cell transcriptional diversity is a hallmark of developmental potential. | Science | 2020 | https://conductscience.org/library/papers/31974247 | PubMed |
| 5 | 24,556,840 | Molecular mechanisms of epithelial-mesenchymal transition. | Nat Rev Mol Cell Biol | 2014 | https://conductscience.org/library/papers/24556840 | PubMed |
| 6 | 30,954,476 | Scrublet: Computational Identification of Cell Doublets in Single-Cell Transcriptomic Data. | Cell Syst | 2019 | https://conductscience.org/library/papers/30954476 | PubMed |
| 7 | 37,853,467 | NF-κB signaling in neoplastic transition from epithelial to mesenchymal phenotype. | Cell Commun Signal | 2023 | https://conductscience.org/library/papers/37853467 | PubMed |
| 8 | 32,300,252 | Guidelines and definitions for research on epithelial-mesenchymal transition. | Nat Rev Mol Cell Biol | 2020 | https://conductscience.org/library/papers/32300252 | PubMed |
| 9 | 35,469,013 | Cell type and gene expression deconvolution with BayesPrism enables Bayesian integrative analysis across bulk and single-cell RNA sequencing in oncology. | Nat Cancer | 2022 | https://conductscience.org/library/papers/35469013 | PubMed |
| 10 | 31,092,844 | Enhanced metastatic potential in the MB49 urothelial carcinoma model. | Sci Rep | 2019 | https://conductscience.org/library/papers/31092844 | PubMed |
1 to 10 of 42
See all 42 referencesCited by0
The papers in our copy of PubMed whose reference list names this one, newest first.
None in this release.
Genes0
The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.
None in this release.
Drugs0
The drugs whose trials, in the Pipelines release, list the paper.
None in this release.
Data0
The data bank entries PubMed's record names. Trial numbers are under Trials.
None in this release.
Data dates
The date of each source this release read.
- Trials
- 2026-11-12
- Gene search
- 2026-11-11
- Pipelines
- 2026-09-18
Sources 11
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- HGNCCC0
- iCiteCC BY 4.0
- NCBI GenePublic domain (US government)
- NIH RePORTER's grant and paper linksPublic domain
- Open TargetsCC0 1.0
- PMC's ID filePublic domain (US government)
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0
Each source's terms
- ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- ClinicalTrials.govnone stated
- HGNCCC0: https://www.genenames.org/about/license/
- iCiteCC BY 4.0
- NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
- Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
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The record and each of its lists are JSON, twenty rows a page. No key.
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