ArticleNPJ systems biology and applications2019
Identification of an early cell fate regulator by detecting dynamics in transcriptional heterogeneity and co-regulation during astrocyte differentiation.
Article in NPJ systems biology and applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 12 citations in OpenAlex.
- The Expression and Oncogenic Role of NTSR2 in Human Glioblastoma.OncoTargets and therapy · 2026Article
- Multienzyme activity profiling for evaluation of cell-to-cell variability of metabolic state.FASEB bioAdvances · 2022Article
- Detecting critical transition signals from single-cell transcriptomes to infer lineage-determining transcription factors.Nucleic acids research · 2022Article
- Label-free morphological sub-population cytometry for sensitive phenotypic screening of heterogenous neural disease model cells.Scientific reports · 2022Article
- Region-Specific Characteristics of Astrocytes and Microglia: A Possible Involvement in Aging and Diseases.Cells · 2022Review
- Loss of Function of the Neural Cell Adhesion Molecule NrCAM Regulates Differentiation, Proliferation and Neurogenesis in Early Postnatal Hypothalamic Tanycytes.Frontiers in neuroscience · 2022Article
- Integrative analysis of somatic mutations and differential expression profiles in glioblastoma based on aging acceleration.International journal of clinical and experimental pathology · 2021Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
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Abstract
There are an increasing number of reports that characterize the temporal behavior of gene expression at the single-cell level during cell differentiation. Despite accumulation of data describing the heterogeneity of biological responses, the dynamics of gene expression heterogeneity and its regulation during the differentiation process have not been studied systematically. To understand transcriptional heterogeneity during astrocyte differentiation, we analyzed single-cell transcriptional data from cells representing the different stages of astrocyte differentiation. When we compared the transcriptional variability of co-expressed genes between the undifferentiated and differentiated states, we found that there was significant increase in transcriptional variability in the undifferentiated state. The genes showing large changes in both "variability" and "correlation" between neural stem cells (NSCs) and astrocytes were found to be functionally involved in astrocyte differentiation. We determined that these genes are potentially regulated by
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