Literature DB >> 30417879

Single-cell RNA Sequencing of Fluorescently Labeled Mouse Neurons Using Manual Sorting and Double In Vitro Transcription with Absolute Counts Sequencing (DIVA-Seq).

Anirban Paul1, Z Josh Huang2.   

Abstract

Single-cell RNA sequencing (RNA-seq) is now a widely implemented tool for assaying gene expression. Commercially available single-cell RNA-sequencing platforms process all input cells indiscriminately. Sometimes, fluorescence-activated cell sorting (FACS) is used upstream to isolate a specifically labeled population of interest. A limitation of FACS is the need for high numbers of input cells with significantly labeled fractions, which is impractical for collecting and profiling rare or sparsely labeled neuron populations from the mouse brain. Here, we describe a method for manually collecting sparse fluorescently labeled single neurons from freshly dissociated mouse brain tissue. This process allows for capturing single-labeled neurons with high purity and subsequent integration with an in vitro transcription-based amplification protocol that preserves endogenous transcript ratios. We describe a double linear amplification method that uses unique molecule identifiers (UMIs) to generate individual mRNA counts. Two rounds of amplification results in a high degree of gene detection per single cell.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 30417879      PMCID: PMC6235609          DOI: 10.3791/58690

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  15 in total

1.  Analysis of gene expression in single live neurons.

Authors:  J Eberwine; H Yeh; K Miyashiro; Y Cao; S Nair; R Finnell; M Zettel; P Coleman
Journal:  Proc Natl Acad Sci U S A       Date:  1992-04-01       Impact factor: 11.205

2.  Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.

Authors:  Evan Z Macosko; Anindita Basu; Rahul Satija; James Nemesh; Karthik Shekhar; Melissa Goldman; Itay Tirosh; Allison R Bialas; Nolan Kamitaki; Emily M Martersteck; John J Trombetta; David A Weitz; Joshua R Sanes; Alex K Shalek; Aviv Regev; Steven A McCarroll
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

3.  CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.

Authors:  Tamar Hashimshony; Florian Wagner; Noa Sher; Itai Yanai
Journal:  Cell Rep       Date:  2012-08-30       Impact factor: 9.423

4.  Use of the Fluidigm C1 platform for RNA sequencing of single mouse pancreatic islet cells.

Authors:  Yurong Xin; Jinrang Kim; Min Ni; Yi Wei; Haruka Okamoto; Joseph Lee; Christina Adler; Katie Cavino; Andrew J Murphy; George D Yancopoulos; Hsin Chieh Lin; Jesper Gromada
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-07       Impact factor: 11.205

5.  Transcriptional Architecture of Synaptic Communication Delineates GABAergic Neuron Identity.

Authors:  Anirban Paul; Megan Crow; Ricardo Raudales; Miao He; Jesse Gillis; Z Josh Huang
Journal:  Cell       Date:  2017-09-21       Impact factor: 41.582

6.  Exploiting single-cell expression to characterize co-expression replicability.

Authors:  Megan Crow; Anirban Paul; Sara Ballouz; Z Josh Huang; Jesse Gillis
Journal:  Genome Biol       Date:  2016-05-06       Impact factor: 13.583

7.  Adult mouse cortical cell taxonomy revealed by single cell transcriptomics.

Authors:  Bosiljka Tasic; Vilas Menon; Thuc Nghi Nguyen; Tae Kyung Kim; Tim Jarsky; Zizhen Yao; Boaz Levi; Lucas T Gray; Staci A Sorensen; Tim Dolbeare; Darren Bertagnolli; Jeff Goldy; Nadiya Shapovalova; Sheana Parry; Changkyu Lee; Kimberly Smith; Amy Bernard; Linda Madisen; Susan M Sunkin; Michael Hawrylycz; Christof Koch; Hongkui Zeng
Journal:  Nat Neurosci       Date:  2016-01-04       Impact factor: 24.884

8.  Single-cell analysis of experience-dependent transcriptomic states in the mouse visual cortex.

Authors:  Sinisa Hrvatin; Daniel R Hochbaum; M Aurel Nagy; Marcelo Cicconet; Keiramarie Robertson; Lucas Cheadle; Rapolas Zilionis; Alex Ratner; Rebeca Borges-Monroy; Allon M Klein; Bernardo L Sabatini; Michael E Greenberg
Journal:  Nat Neurosci       Date:  2017-12-11       Impact factor: 24.884

9.  Nanogrid single-nucleus RNA sequencing reveals phenotypic diversity in breast cancer.

Authors:  Ruli Gao; Charissa Kim; Emi Sei; Theodoros Foukakis; Nicola Crosetto; Leong-Keat Chan; Maithreyan Srinivasan; Hong Zhang; Funda Meric-Bernstam; Nicholas Navin
Journal:  Nat Commun       Date:  2017-08-09       Impact factor: 14.919

10.  Characterizing the replicability of cell types defined by single cell RNA-sequencing data using MetaNeighbor.

Authors:  Megan Crow; Anirban Paul; Sara Ballouz; Z Josh Huang; Jesse Gillis
Journal:  Nat Commun       Date:  2018-02-28       Impact factor: 14.919

View more
  1 in total

1.  Profiling mouse cochlear cell maturation using 10× Genomics single-cell transcriptomics.

Authors:  Zhenhang Xu; Shu Tu; Caroline Pass; Yan Zhang; Huizhan Liu; Jack Diers; Yusi Fu; David Z Z He; Jian Zuo
Journal:  Front Cell Neurosci       Date:  2022-08-18       Impact factor: 6.147

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.