» Articles » PMID: 35980574

Analysis of Single-Cell Transcriptome Data in Drosophila

Overview
Specialty Molecular Biology
Date 2022 Aug 18
PMID 35980574
Authors
Affiliations
Soon will be listed here.
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.

References
1.
Tang F, Barbacioru C, Wang Y, Nordman E, Lee C, Xu N . mRNA-Seq whole-transcriptome analysis of a single cell. Nat Methods. 2009; 6(5):377-82. DOI: 10.1038/nmeth.1315. View

2.
Islam S, Kjallquist U, Moliner A, Zajac P, Fan J, Lonnerberg P . Highly multiplexed and strand-specific single-cell RNA 5' end sequencing. Nat Protoc. 2012; 7(5):813-28. DOI: 10.1038/nprot.2012.022. View

3.
Ramskold D, Luo S, Wang Y, Li R, Deng Q, Faridani O . Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells. Nat Biotechnol. 2012; 30(8):777-82. PMC: 3467340. DOI: 10.1038/nbt.2282. View

4.
Macosko E, Basu A, Satija R, Nemesh J, Shekhar K, Goldman M . Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets. Cell. 2015; 161(5):1202-1214. PMC: 4481139. DOI: 10.1016/j.cell.2015.05.002. View

5.
Rosenberg A, Roco C, Muscat R, Kuchina A, Sample P, Yao Z . Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding. Science. 2018; 360(6385):176-182. PMC: 7643870. DOI: 10.1126/science.aam8999. View