Alignment of single-cell trajectories to compare cellular expression dynamics.
Nat Methods
; 15(4): 267-270, 2018 04.
Article
en En
| MEDLINE
| ID: mdl-29529018
ABSTRACT
Single-cell RNA sequencing and high-dimensional cytometry can be used to generate detailed trajectories of dynamic biological processes such as differentiation or development. Here we present cellAlign, a quantitative framework for comparing expression dynamics within and between single-cell trajectories. By applying cellAlign to mouse and human embryonic developmental trajectories, we systematically delineate differences in the temporal regulation of gene expression programs that would otherwise be masked.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Regulación de la Expresión Génica
/
Análisis de la Célula Individual
/
Transcriptoma
Límite:
Animals
/
Humans
Idioma:
En
Revista:
Nat Methods
Asunto de la revista:
TECNICAS E PROCEDIMENTOS DE LABORATORIO
Año:
2018
Tipo del documento:
Article
País de afiliación:
Israel