Literature DB >> 36035788

Transcriptional profiling of mouse projection neurons with VECTORseq.

Victoria Cheung1, Philip Chung2, Evan H Feinberg3.   

Abstract

Existing techniques for transcriptional profiling of projection neurons could be applied to only one neuronal population per experiment. To increase throughput, we developed VECTORseq, which repurposes retrogradely infecting viruses to deliver multiplexable RNA barcodes, enabling projection anatomy to be read out in single-cell datasets. In this protocol, we describe the delivery of viral barcodes to mouse brain to label different projection neurons. We then detail single-cell or nuclei isolation for sequencing, followed by the analysis of single-cell sequencing data. For complete details on the use and execution of this protocol, please refer to Cheung et al. (2021).
© 2022 The Author(s).

Entities:  

Keywords:  Bioinformatics; Cell isolation; Gene expression; Genomics; Neuroscience; RNAseq; Sequence analysis; Sequencing; Single cell

Mesh:

Substances:

Year:  2022        PMID: 36035788      PMCID: PMC9405111          DOI: 10.1016/j.xpro.2022.101625

Source DB:  PubMed          Journal:  STAR Protoc        ISSN: 2666-1667


  7 in total

1.  A cluster separation measure.

Authors:  D L Davies; D W Bouldin
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1979-02       Impact factor: 6.226

2.  Using single nuclei for RNA-seq to capture the transcriptome of postmortem neurons.

Authors:  Suguna Rani Krishnaswami; Rashel V Grindberg; Mark Novotny; Pratap Venepally; Benjamin Lacar; Kunal Bhutani; Sara B Linker; Son Pham; Jennifer A Erwin; Jeremy A Miller; Rebecca Hodge; James K McCarthy; Martin Kelder; Jamison McCorrison; Brian D Aevermann; Francisco Diez Fuertes; Richard H Scheuermann; Jun Lee; Ed S Lein; Nicholas Schork; Michael J McConnell; Fred H Gage; Roger S Lasken
Journal:  Nat Protoc       Date:  2016-02-18       Impact factor: 13.491

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

Authors:  Samuel L Wolock; Romain Lopez; Allon M Klein
Journal:  Cell Syst       Date:  2019-04-03       Impact factor: 10.304

4.  Massively parallel digital transcriptional profiling of single cells.

Authors:  Grace X Y Zheng; Jessica M Terry; Phillip Belgrader; Paul Ryvkin; Zachary W Bent; Ryan Wilson; Solongo B Ziraldo; Tobias D Wheeler; Geoff P McDermott; Junjie Zhu; Mark T Gregory; Joe Shuga; Luz Montesclaros; Jason G Underwood; Donald A Masquelier; Stefanie Y Nishimura; Michael Schnall-Levin; Paul W Wyatt; Christopher M Hindson; Rajiv Bharadwaj; Alexander Wong; Kevin D Ness; Lan W Beppu; H Joachim Deeg; Christopher McFarland; Keith R Loeb; William J Valente; Nolan G Ericson; Emily A Stevens; Jerald P Radich; Tarjei S Mikkelsen; Benjamin J Hindson; Jason H Bielas
Journal:  Nat Commun       Date:  2017-01-16       Impact factor: 14.919

5.  SCANPY: large-scale single-cell gene expression data analysis.

Authors:  F Alexander Wolf; Philipp Angerer; Fabian J Theis
Journal:  Genome Biol       Date:  2018-02-06       Impact factor: 13.583

6.  From Louvain to Leiden: guaranteeing well-connected communities.

Authors:  V A Traag; L Waltman; N J van Eck
Journal:  Sci Rep       Date:  2019-03-26       Impact factor: 4.379

7.  Virally encoded connectivity transgenic overlay RNA sequencing (VECTORseq) defines projection neurons involved in sensorimotor integration.

Authors:  Victoria Cheung; Philip Chung; Max Bjorni; Varvara A Shvareva; Yesenia C Lopez; Evan H Feinberg
Journal:  Cell Rep       Date:  2021-12-21       Impact factor: 9.423

  7 in total

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