clonealign: statistical integration of independent single-cell RNA and DNA sequencing data from human cancers.
Genome Biol
; 20(1): 54, 2019 03 12.
Article
em En
| MEDLINE
| ID: mdl-30866997
ABSTRACT
Measuring gene expression of tumor clones at single-cell resolution links functional consequences to somatic alterations. Without scalable methods to simultaneously assay DNA and RNA from the same single cell, parallel single-cell DNA and RNA measurements from independent cell populations must be mapped for genome-transcriptome association. We present clonealign, which assigns gene expression states to cancer clones using single-cell RNA and DNA sequencing independently sampled from a heterogeneous population. We apply clonealign to triple-negative breast cancer patient-derived xenografts and high-grade serous ovarian cancer cell lines and discover clone-specific dysregulated biological pathways not visible using either sequencing method alone.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Ovarianas
/
Software
/
Biomarcadores Tumorais
/
Modelos Estatísticos
/
Cistadenocarcinoma Seroso
/
Análise de Célula Única
/
Sequenciamento de Nucleotídeos em Larga Escala
/
Neoplasias de Mama Triplo Negativas
Tipo de estudo:
Risk_factors_studies
Limite:
Animals
/
Female
/
Humans
Idioma:
En
Revista:
Genome Biol
Assunto da revista:
BIOLOGIA MOLECULAR
/
GENETICA
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Canadá