Unknown

Dataset Information

0

Combining single-cell RNA-sequencing with a molecular atlas unveils new markers for Caenorhabditis elegans neuron classes.


ABSTRACT: Single-cell RNA-sequencing (scRNA-seq) of the Caenorhabditis elegans nervous system offers the unique opportunity to obtain a partial expression profile for each neuron within a known connectome. Building on recent scRNA-seq data and on a molecular atlas describing the expression pattern of ∼800 genes at the single cell resolution, we designed an iterative clustering analysis aiming to match each cell-cluster to the ∼100 anatomically defined neuron classes of C. elegans. This heuristic approach successfully assigned 97 of the 118 neuron classes to a cluster. Sixty two clusters were assigned to a single neuron class and 15 clusters grouped neuron classes sharing close molecular signatures. Pseudotime analysis revealed a maturation process occurring in some neurons (e.g. PDA) during the L2 stage. Based on the molecular profiles of all identified neurons, we predicted cell fate regulators and experimentally validated unc-86 for the normal differentiation of RMG neurons. Furthermore, we observed that different classes of genes functionally diversify sensory neurons, interneurons and motorneurons. Finally, we designed 15 new neuron class-specific promoters validated in vivo. Amongst them, 10 represent the only specific promoter reported to this day, expanding the list of neurons amenable to genetic manipulations.

SUBMITTER: Lorenzo R 

PROVIDER: S-EPMC7367206 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Combining single-cell RNA-sequencing with a molecular atlas unveils new markers for Caenorhabditis elegans neuron classes.

Lorenzo Ramiro R   Onizuka Michiho M   Defrance Matthieu M   Laurent Patrick P  

Nucleic acids research 20200701 13


Single-cell RNA-sequencing (scRNA-seq) of the Caenorhabditis elegans nervous system offers the unique opportunity to obtain a partial expression profile for each neuron within a known connectome. Building on recent scRNA-seq data and on a molecular atlas describing the expression pattern of ∼800 genes at the single cell resolution, we designed an iterative clustering analysis aiming to match each cell-cluster to the ∼100 anatomically defined neuron classes of C. elegans. This heuristic approach  ...[more]

Similar Datasets

| S-EPMC3463556 | biostudies-literature
| S-EPMC10632145 | biostudies-literature
| S-EPMC5749674 | biostudies-literature
| S-EPMC7610403 | biostudies-literature
| S-EPMC3210371 | biostudies-literature
| S-EPMC7587405 | biostudies-literature
| S-EPMC7227805 | biostudies-literature
| S-EPMC6565610 | biostudies-literature
| S-EPMC11615225 | biostudies-literature
| S-EPMC5544745 | biostudies-literature