SCeNGEA

SCeNGEA maps single-cell RNA sequencing data to characterize gene expression profiles across the mature hermaphrodite nervous system of Caenorhabditis elegans for identification and comparison of neuron types and subtypes.

Key Features:

• Extensive Dataset: Provides gene expression profiles covering over 90% of individual neuron classes within the C. elegans nervous system.
• Single-Cell Resolution: Processes transcriptomes from 52,412 neurons and clusters them into groups corresponding to 109 of the canonical 118 neuron classes in the mature hermaphrodite nervous system.
• Subtype Differentiation: Identifies molecular signatures that subdivide recognized neuron classes into specific neuronal subtypes.
• Functional Insights: Reveals differential expression of neuropeptide-related genes among subtypes of given neuron classes, indicating potential functional distinctions.

Scientific Applications:

• Neuroscience Research: Supports analysis of developmental lineage, anatomy, synaptic connectivity, and function of each neuron type in C. elegans using detailed gene expression profiles.
• Model Organism Studies: Enables comparative studies to elucidate conserved genetic pathways across species using C. elegans as a model.
• Gene Function Exploration: Facilitates investigation of specific gene roles within neuronal contexts and identification of candidates for further functional assays.

Methodology:

Uses single-cell RNA sequencing data and clustering of individual-cell transcriptomes to identify and classify neuron types and subtypes; the dataset comprises 52,412 neurons clustered into groups corresponding to 109 of 118 canonical neuron classes.