Deep whole genome sequencing identifies recurrent genomic alterations in commonly used breast cancer cell lines and patient-derived xenograft models.

Deng, Niantao; Minoche, Andre; Harvey, Kate; Li, Meng; Winkler, Juliane; Goga, Andrei; Swarbrick, Alex

Deng, Niantao; Minoche, Andre; Harvey, Kate; Li, Meng; Winkler, Juliane; Goga, Andrei; Swarbrick, Alex.

Afiliação

Deng N; Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, Australia.
Minoche A; School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
Harvey K; School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.
Li M; Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, Australia.
Winkler J; Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, Australia.
Goga A; Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, CA, USA.
Swarbrick A; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.

Breast Cancer Res ; 24(1): 63, 2022 09 24.

Article em En | MEDLINE | ID: mdl-36153537

Assuntos

Neoplasias da Mama; Animais; Neoplasias da Mama/genética; Modelos Animais de Doenças; Feminino; Genômica/métodos; Xenoenxertos; Humanos; Células MCF-7; Nucleotídeos; Sequenciamento Completo do Genoma

Palavras-chave

Breast cancer cell lines; Non-coding mutations; Patient-derived xenografts; Structural variants; Whole genome sequencing

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Limite: Animals / Female / Humans Idioma: En Revista: Breast Cancer Res Assunto da revista: NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Austrália

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