Identifying Cell-Type Specific Genes and Expression Rules Based on Single-Cell Transcriptomic Atlas Data.
cell type
expression rule
multi-class classification
single-cell transcriptomics
tissue development
Journal
Frontiers in bioengineering and biotechnology
ISSN: 2296-4185
Titre abrégé: Front Bioeng Biotechnol
Pays: Switzerland
ID NLM: 101632513
Informations de publication
Date de publication:
2020
2020
Historique:
received:
31
01
2020
accepted:
30
03
2020
entrez:
16
5
2020
pubmed:
16
5
2020
medline:
16
5
2020
Statut:
epublish
Résumé
Single-cell sequencing technologies have emerged to address new and longstanding biological and biomedical questions. Previous studies focused on the analysis of bulk tissue samples composed of millions of cells. However, the genomes within the cells of an individual multicellular organism are not always the same. In this study, we aimed to identify the crucial and characteristically expressed genes that may play functional roles in tissue development and organogenesis, by analyzing a single-cell transcriptomic atlas of mice. We identified the most relevant gene features and decision rules classifying 18 cell categories, providing a list of genes that may perform important functions in the process of tissue development because of their tissue-specific expression patterns. These genes may serve as biomarkers to identify the origin of unknown cell subgroups so as to recognize specific cell stages/states during the dynamic process, and also be applied as potential therapy targets for developmental disorders.
Identifiants
pubmed: 32411685
doi: 10.3389/fbioe.2020.00350
pmc: PMC7201067
doi:
Types de publication
Journal Article
Langues
eng
Pagination
350Informations de copyright
Copyright © 2020 Yuan, Pan, Zeng, Zhang, Chen, Gan, Huang and Cai.
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