Practical Compass of Single-Cell RNA-Seq Analysis.
Curr Osteoporos Rep
; 2023 Nov 29.
Article
em En
| MEDLINE
| ID: mdl-38019344
ABSTRACT
PURPOSE OF REVIEW This review paper provides step-by-step instructions on the fundamental process, from handling fastq datasets to illustrating plots and drawing trajectories. RECENT FINDINGS:
The number of studies using single-cell RNA-seq (scRNA-seq) is increasing. scRNA-seq revealed the heterogeneity or diversity of the cellular populations. scRNA-seq also provides insight into the interactions between different cell types. User-friendly scRNA-seq packages for ligand-receptor interactions and trajectory analyses are available. In skeletal biology, osteoclast differentiation, fracture healing, ectopic ossification, human bone development, and the bone marrow niche have been examined using scRNA-seq. scRNA-seq data analysis tools are still being developed, even at the fundamental step of dataset integration. However, updating the latest information is difficult for many researchers. Investigators and reviewers must share their knowledge of in silico scRNA-seq for better biological interpretation. This review article aims to provide a useful guide for complex analytical processes in single-cell RNA-seq data analysis.
Texto completo:
1
Base de dados:
MEDLINE
Idioma:
En
Revista:
Curr Osteoporos Rep
Assunto da revista:
ORTOPEDIA
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
Japão