Renal neoplasms in tuberous sclerosis mice are neurocristopathies.

cancer; molecular physiology stem cells research

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
23 Jul 2021
Historique:
received: 15 12 2020
revised: 20 04 2021
accepted: 31 05 2021
entrez: 5 7 2021
pubmed: 6 7 2021
medline: 6 7 2021
Statut: epublish

Résumé

Tuberous sclerosis (TS) is a rare disorder exhibiting multi-systemic benign neoplasms. We hypothesized the origin of TS neoplastic cells derived from the neural crest given the heterogeneous ecto-mesenchymal phenotype of the most common TS neoplasms. To test this hypothesis, we employed Cre-loxP lineage tracing of myelin protein zero (Mpz)-expressing neural crest cells (NCCs) in spontaneously developing renal tumors of

Identifiants

pubmed: 34222844
doi: 10.1016/j.isci.2021.102684
pii: S2589-0042(21)00652-0
pmc: PMC8243016
doi:

Types de publication

Journal Article

Langues

eng

Pagination

102684

Informations de copyright

© 2021 The Authors.

Déclaration de conflit d'intérêts

The authors declare no competing interests.

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Auteurs

Uchenna Unachukwu (U)

Center for LAM and Rare Lung Disease, Department of Anesthesiology, College of Physicians and Surgeons, Columbia University, 630 West 168 Street, New York, NY 10032, USA.

Takayuki Shiomi (T)

Department of Pathology, International University of Health and Welfare, School of Medicine, 4-3 Kouzunomori, Narita-shi, Chiba 286-8686, Japan.

Monica Goldklang (M)

Center for LAM and Rare Lung Disease, Department of Anesthesiology, College of Physicians and Surgeons, Columbia University, 630 West 168 Street, New York, NY 10032, USA.

Kiran Chada (K)

Department of Biochemistry, Rutgers-Robert Wood Johnson Medical School, Rutgers University, 675 Hoes Lane, Piscataway, NJ 08854, USA.

Jeanine D'Armiento (J)

Center for LAM and Rare Lung Disease, Department of Anesthesiology, College of Physicians and Surgeons, Columbia University, 630 West 168 Street, New York, NY 10032, USA.

Classifications MeSH