Literature DB >> 29851244

The Use of the Fluidigm C1 for RNA Expression Analyses of Single Cells.

Daniel M DeLaughter1.   

Abstract

Understanding the transcriptional heterogeneity that occurs on the level of a single cell is critical to understanding the gene-regulatory mechanisms underlying development and disease. Population-level whole-transcriptome profiling approaches average gene expression across thousands to millions of cells and are unable to delineate the transcriptional signature of individual cells. Considerable biological heterogeneity between individual cells arises from differences in cell lineage, environment, or response to stimulus. The development of single-cell RNA sequencing (RNA-seq) enabled a high-resolution and unbiased analysis of cell transcriptomes. This unit describes a procedure utilizing an automated microfluidic platform, the Fluidigm C1 system, to simultaneously isolate dozens of single cells in a size- and shape-dependent manner. The microfluidic platform processes cells in individual nanoliter-scale reactions to convert their contents into double-stranded cDNA. This cDNA is used to make dual-indexed libraries using the Illumina Nextera XT library preparation kit for eventual RNA-seq analysis. © 2018 by John Wiley & Sons, Inc.
Copyright © 2018 John Wiley & Sons, Inc.

Entities:  

Keywords:  Fluidigm C1; RNA-seq; single-cell

Mesh:

Substances:

Year:  2018        PMID: 29851244      PMCID: PMC6777549          DOI: 10.1002/cpmb.55

Source DB:  PubMed          Journal:  Curr Protoc Mol Biol        ISSN: 1934-3647


  15 in total

1.  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
Journal:  Nat Methods       Date:  2013-09-22       Impact factor: 28.547

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

Review 3.  The technology and biology of single-cell RNA sequencing.

Authors:  Aleksandra A Kolodziejczyk; Jong Kyoung Kim; Valentine Svensson; John C Marioni; Sarah A Teichmann
Journal:  Mol Cell       Date:  2015-05-21       Impact factor: 17.970

4.  Comparative Analysis of Single-Cell RNA Sequencing Methods.

Authors:  Christoph Ziegenhain; Beate Vieth; Swati Parekh; Björn Reinius; Amy Guillaumet-Adkins; Martha Smets; Heinrich Leonhardt; Holger Heyn; Ines Hellmann; Wolfgang Enard
Journal:  Mol Cell       Date:  2017-02-16       Impact factor: 17.970

5.  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

6.  Genetic programs in human and mouse early embryos revealed by single-cell RNA sequencing.

Authors:  Zhigang Xue; Kevin Huang; Chaochao Cai; Lingbo Cai; Chun-yan Jiang; Yun Feng; Zhenshan Liu; Qiao Zeng; Liming Cheng; Yi E Sun; Jia-yin Liu; Steve Horvath; Guoping Fan
Journal:  Nature       Date:  2013-07-28       Impact factor: 49.962

7.  Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types.

Authors:  Diego Adhemar Jaitin; Ephraim Kenigsberg; Hadas Keren-Shaul; Naama Elefant; Franziska Paul; Irina Zaretsky; Alexander Mildner; Nadav Cohen; Steffen Jung; Amos Tanay; Ido Amit
Journal:  Science       Date:  2014-02-14       Impact factor: 47.728

Review 8.  A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications.

Authors:  Ashraful Haque; Jessica Engel; Sarah A Teichmann; Tapio Lönnberg
Journal:  Genome Med       Date:  2017-08-18       Impact factor: 11.117

9.  Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods.

Authors:  Alessandra Dal Molin; Giacomo Baruzzo; Barbara Di Camillo
Journal:  Front Genet       Date:  2017-05-23       Impact factor: 4.599

10.  Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex.

Authors:  Alex A Pollen; Tomasz J Nowakowski; Joe Shuga; Xiaohui Wang; Anne A Leyrat; Jan H Lui; Nianzhen Li; Lukasz Szpankowski; Brian Fowler; Peilin Chen; Naveen Ramalingam; Gang Sun; Myo Thu; Michael Norris; Ronald Lebofsky; Dominique Toppani; Darnell W Kemp; Michael Wong; Barry Clerkson; Brittnee N Jones; Shiquan Wu; Lawrence Knutsson; Beatriz Alvarado; Jing Wang; Lesley S Weaver; Andrew P May; Robert C Jones; Marc A Unger; Arnold R Kriegstein; Jay A A West
Journal:  Nat Biotechnol       Date:  2014-08-03       Impact factor: 54.908

View more
  4 in total

1.  Deterministic scRNA-seq captures variation in intestinal crypt and organoid composition.

Authors:  Johannes Bues; Marjan Biočanin; Joern Pezoldt; Riccardo Dainese; Antonius Chrisnandy; Saba Rezakhani; Wouter Saelens; Vincent Gardeux; Revant Gupta; Rita Sarkis; Julie Russeil; Yvan Saeys; Esther Amstad; Manfred Claassen; Matthias P Lutolf; Bart Deplancke
Journal:  Nat Methods       Date:  2022-02-14       Impact factor: 47.990

2.  Comparative Studies of Renin-Null Zebrafish and Mice Provide New Functional Insights.

Authors:  Scott Hoffmann; Linda Mullins; Sebastien Rider; Cara Brown; Charlotte B Buckley; Adrienne Assmus; Ziwen Li; Mariana Sierra Beltran; Neil Henderson; Jorge Del Pozo; Alexandre De Goes Martini; Maria Luisa S Sequeira-Lopez; R Ariel Gomez; John Mullins
Journal:  Hypertension       Date:  2022-01-10       Impact factor: 9.897

Review 3.  Microfluidics Facilitates the Development of Single-Cell RNA Sequencing.

Authors:  Yating Pan; Wenjian Cao; Ying Mu; Qiangyuan Zhu
Journal:  Biosensors (Basel)       Date:  2022-06-24

Review 4.  Recent developments in application of single-cell RNA sequencing in the tumour immune microenvironment and cancer therapy.

Authors:  Pei-Heng Li; Xiang-Yu Kong; Ya-Zhou He; Yi Liu; Xi Peng; Zhi-Hui Li; Heng Xu; Han Luo; Jihwan Park
Journal:  Mil Med Res       Date:  2022-09-26
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.