| Literature DB >> 33620770 |
Tho Huu Nguyen1, Rosario Vicidomini1, Saumitra Dey Choudhury1, Steven L Coon2, James Iben2, Thomas Brody1, Mihaela Serpe1.
Abstract
Drosophila provides a powerful genetic system and an excellent model to study the development and function of the nervous system. The fly's small brain and complex behavior has been instrumental in mapping neuronal circuits and elucidating the neural basis of behavior. The fast pace of fly development and the wealth of genetic tools has enabled systematic studies on cell differentiation and fate specification, and has uncovered strategies for axon guidance and targeting. The accessibility of neuronal structures and the ability to edit and manipulate gene expression in selective cells and/or synaptic compartments has revealed mechanisms for synapse assembly and neuronal connectivity. Recent advances in single-cell RNA sequencing (scRNA-seq) have further enhanced our appreciation and understanding of neuronal diversity in a fly brain. However, due to the small size of the fly brain and its constituent cells, scRNA-seq methodologies require a few adaptations. Here, we describe a set of protocols optimized for scRNA-seq analysis of the Drosophila larval ventral nerve cord, starting from tissue dissection and cell dissociation to cDNA library preparation, sequencing, and data analysis. We apply this workflow to three separate samples and detail the technical challenges associated with successful application of scRNA-seq to studies on neuronal diversity. An accompanying article (Vicidomini, Nguyen, Choudhury, Brody, & Serpe, 2021) presents a custom multistage analysis pipeline that integrates modules contained in different R packages to ensure high-flexibility, high-quality RNA-seq data analysis. These protocols are developed for Drosophila larval ventral nerve cord, but could easily be adapted to other tissues and model organisms.Entities:
Keywords: 10× Genomics; Cell Ranger; Drosophila; cell dissociation; central nervous system; count matrix; demultiplexing; larval ventral nerve cord; reference genome; scRNA-seq
Mesh:
Year: 2021 PMID: 33620770 PMCID: PMC7942971 DOI: 10.1002/cpz1.38
Source DB: PubMed Journal: Curr Protoc ISSN: 2691-1299