Exploiting allele-specific transcriptional effects of subclonal copy number alterations for genotype-phenotype mapping in cancer cell populations.

clonal phenotypes genotype phenotype single cell DNA single cell RNA

Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
17 Jan 2023
Historique:
pubmed: 31 1 2023
medline: 31 1 2023
entrez: 30 1 2023
Statut: epublish

Résumé

Somatic copy number alterations drive aberrant gene expression in cancer cells. In tumors with high levels of chromosomal instability, subclonal copy number alterations (CNAs) are a prevalent feature which often result in heterogeneous cancer cell populations with distinct phenotypes

Identifiants

pubmed: 36711951
doi: 10.1101/2023.01.10.523464
pmc: PMC9882029
pii:
doi:

Types de publication

Preprint

Langues

eng

Déclaration de conflit d'intérêts

Competing Interests SPS is a shareholder of Imagia Canexia Health Inc. and is a consultant to AstraZeneca Inc., outside the scope of this work.

Auteurs

Hongyu Shi (H)

Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Gerstner Sloan Kettering Graduate School of Biomedical Sciences, New York, NY, USA.

Marc J Williams (MJ)

Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Gryte Satas (G)

Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Adam C Weiner (AC)

Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Tri-Institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA.

Andrew McPherson (A)

Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Sohrab P Shah (SP)

Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Classifications MeSH