Trajectory Inference for Unraveling Dynamic Biological Processes from Raman Spectral Data.
Anal Chem
; 95(9): 4395-4403, 2023 03 07.
Article
en En
| MEDLINE
| ID: mdl-36788139
ABSTRACT
Cell heterogeneity is a crucial parameter for understanding the complexity of numerous biomedical issues. Trajectory inference-based approaches are recent tools developed for single-cell transcriptomics (scRNA-seq) data analysis. They aim to reconstruct evolving pathways from the variety of cell states that coexist simultaneously in a cell population. We propose to expand this concept to Raman spectroscopy, a label-free modality that probes the global molecular nature of a sample, by investigating the dynamics of adipocyte differentiation.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Perfilación de la Expresión Génica
/
Análisis de la Célula Individual
Idioma:
En
Revista:
Anal Chem
Año:
2023
Tipo del documento:
Article
País de afiliación:
Francia
Pais de publicación:
EEUU
/
ESTADOS UNIDOS
/
ESTADOS UNIDOS DA AMERICA
/
EUA
/
UNITED STATES
/
UNITED STATES OF AMERICA
/
US
/
USA