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. 2022:2540:93-111.
doi: 10.1007/978-1-0716-2541-5_4.

Analysis of Single-Cell Transcriptome Data in Drosophila

Schayan Yousefian  1   2   3 , Maria Jelena Musillo  4 , Josephine Bageritz  5
Affiliations

Analysis of Single-Cell Transcriptome Data in Drosophila

Schayan Yousefian et al. Methods Mol Biol. 2022.

Abstract

The fly Drosophila is a versatile model organism that has led to fascinating biological discoveries. In the past few years, Drosophila researchers have used single-cell RNA-sequencing (scRNA-seq) to gain insights into the cellular composition, and developmental processes of various tissues and organs. Given the success of single-cell technologies a variety of computational tools and software packages were developed to enable and facilitate the analysis of scRNA-seq data. In this book chapter we want to give guidance on analyzing droplet-based scRNA-seq data from Drosophila. We will initially describe the preprocessing commonly done for Drosophila, point out possible downstream analyses, and finally highlight computational methods developed using Drosophila scRNA-seq data.

Keywords: Computational methods; Data analysis; Droplet based; Drosophila; Seurat; Single-cell RNA-seq; Software packages.

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