Literature DB >> 33620770

Single-Cell RNA Sequencing Analysis of the Drosophila Larval Ventral Cord.

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.
© 2021 U.S. Government. Basic Protocol 1: Dissection of larval ventral nerve cords and preparation of single-cell suspensions Basic Protocol 2: Preparation and sequencing of single-cell transcriptome libraries Basic Protocol 3: Alignment of raw sequencing data to indexed genome and generation of count matrices. Published 2021. This article is a U.S. Government work and is in the public domain in the USA.

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


  59 in total

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2.  Accounting for technical noise in single-cell RNA-seq experiments.

Authors:  Philip Brennecke; Simon Anders; Jong Kyoung Kim; Aleksandra A Kołodziejczyk; Xiuwei Zhang; Valentina Proserpio; Bianka Baying; Vladimir Benes; Sarah A Teichmann; John C Marioni; Marcus G Heisler
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3.  Smart-seq2 for sensitive full-length transcriptome profiling in single cells.

Authors:  Simone Picelli; Åsa K Björklund; Omid R Faridani; Sven Sagasser; Gösta Winberg; Rickard Sandberg
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4.  Mapping the Neural Substrates of Behavior.

Authors:  Alice A Robie; Jonathan Hirokawa; Austin W Edwards; Lowell A Umayam; Allen Lee; Mary L Phillips; Gwyneth M Card; Wyatt Korff; Gerald M Rubin; Julie H Simpson; Michael B Reiser; Kristin Branson
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Journal:  Nature       Date:  2017-08-09       Impact factor: 49.962

6.  Scrublet: Computational Identification of Cell Doublets in Single-Cell Transcriptomic Data.

Authors:  Samuel L Wolock; Romain Lopez; Allon M Klein
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9.  A Single-Cell Transcriptome Atlas of the Aging Drosophila Brain.

Authors:  Kristofer Davie; Jasper Janssens; Duygu Koldere; Maxime De Waegeneer; Uli Pech; Łukasz Kreft; Sara Aibar; Samira Makhzami; Valerie Christiaens; Carmen Bravo González-Blas; Suresh Poovathingal; Gert Hulselmans; Katina I Spanier; Thomas Moerman; Bram Vanspauwen; Sarah Geurs; Thierry Voet; Jeroen Lammertyn; Bernard Thienpont; Sha Liu; Nikos Konstantinides; Mark Fiers; Patrik Verstreken; Stein Aerts
Journal:  Cell       Date:  2018-06-18       Impact factor: 41.582

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Authors:  Junyue Cao; Wei Zhou; Frank Steemers; Cole Trapnell; Jay Shendure
Journal:  Nat Biotechnol       Date:  2020-04-13       Impact factor: 54.908

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  3 in total

1.  Analysis of Single-Cell Transcriptome Data in Drosophila.

Authors:  Schayan Yousefian; Maria Jelena Musillo; Josephine Bageritz
Journal:  Methods Mol Biol       Date:  2022

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Authors:  Yupu Wang; Meike Lobb-Rabe; James Ashley; Purujit Chatterjee; Veera Anand; Hugo J Bellen; Oguz Kanca; Robert A Carrillo
Journal:  Development       Date:  2022-05-19       Impact factor: 6.862

3.  Single cell RNA-seq analysis reveals temporally-regulated and quiescence-regulated gene expression in Drosophila larval neuroblasts.

Authors:  Noah Dillon; Ben Cocanougher; Chhavi Sood; Xin Yuan; Andrea B Kohn; Leonid L Moroz; Sarah E Siegrist; Marta Zlatic; Chris Q Doe
Journal:  Neural Dev       Date:  2022-08-24       Impact factor: 3.800

  3 in total

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