CjPCA

CjPCA maps the transcriptomic architecture of nuclei in the central nervous system of Callithrix jacchus using high-resolution single-nuclei RNA sequencing to characterize cellular composition and region-specific specialization of white matter glia.

Key Features:

• Single-nuclei RNA-seq dataset: Contains approximately 500,000 nuclei sampled across 19 central nervous system tissue types from healthy marmosets (Callithrix jacchus).
• Subcluster identification: Identifies 87 distinct subclusters of CNS cell types from single-nuclei transcriptomes.
• Spatial Mapping: Spatially maps the 87 identified subclusters onto a three-dimensional MRI atlas to resolve anatomical distribution within the CNS.
• Cross-Species Comparison: Compares marmoset data with rodent models to highlight evolutionary differences in CNS architecture and white matter glial specialization.
• Regulatory Pathway Exploration: Analyzes regulatory pathways that govern cellular functions and interactions within the CNS.
• Intercellular Communication Modeling: Models regional intercellular communication and predicts more extensive interactions among resident cells in white matter versus gray matter glia.
• Neurological Disorder Surveys: Surveys cellular determinants of neurological disorders to link cell types and molecular signatures to disease relevance.
• Cell Type Segregation Analysis: Reveals strong spatial segregation among microglia, oligodendrocyte progenitor cells, and astrocytes in white matter.
• Gene Expression Profiling: Characterizes white matter glia by enrichment of genes involved in stimulus-response mechanisms and biomolecule modification, and characterizes gray matter glia by persistent neural tube patterning expression and shared transcription factors that limit transcriptome complexity.

Scientific Applications:

• White matter specialization: Dissects cellular composition and region-specific specialization of primate white matter glia.
• Comparative neurobiology: Enables evolutionary comparisons between marmoset and rodent CNS cellular architecture and glial specialization.
• Neurobiological disease research: Provides molecular and cell-type contexts for investigating cellular determinants of neurological disorders.

Methodology:

Processes high-resolution single-nuclei RNA sequencing data from ~500,000 nuclei across 19 CNS tissue types, identifies 87 subclusters, spatially maps subclusters onto a three-dimensional MRI atlas, performs cross-species comparisons with rodent data, explores regulatory pathways, models regional intercellular communication, and surveys cellular determinants of neurological disorders.