Literature DB >> 29423800

Using Fluidigm C1 to Generate Single-Cell Full-Length cDNA Libraries for mRNA Sequencing.

Robert Durruthy-Durruthy1, Manisha Ray1.   

Abstract

Single-cell RNA sequencing has evolved into a benchmark application to study cellular heterogeneity, advancing our understanding of cellular differentiation, disease progression, and gene regulation in a multitude of research areas. The generation of high-quality cDNA, an important step in the experimental workflow when generating sequence-ready libraries, is critical to maximizing data quality. Here we describe a strategy that uses a microfluidic device (i.e., the C1™ IFC) to synthesize full-length cDNA from single cells in a fully automated, nanoliter-scale format. The device also facilitates confirmation of the presence of a single, viable cell and recording of phenotypic information, quality control measures that are crucial for streamlining downstream data processing and enhancing overall data validity.

Keywords:  Cell characterization; Full-length cDNA; Gene expression profiling; Single-cell RNA-seq; Single-cell transcriptomics

Mesh:

Substances:

Year:  2018        PMID: 29423800     DOI: 10.1007/978-1-4939-7471-9_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  7 in total

Review 1.  An Introduction to the Analysis of Single-Cell RNA-Sequencing Data.

Authors:  Aisha A AlJanahi; Mark Danielsen; Cynthia E Dunbar
Journal:  Mol Ther Methods Clin Dev       Date:  2018-08-02       Impact factor: 6.698

2.  A plug and play microfluidic platform for standardized sensitive low-input chromatin immunoprecipitation.

Authors:  René A M Dirks; Peter C Thomas; Haoyu Wu; Robert C Jones; Hendrik G Stunnenberg; Hendrik Marks
Journal:  Genome Res       Date:  2021-03-11       Impact factor: 9.043

Review 3.  Microfluidics applications for high-throughput single cell sequencing.

Authors:  Wen-Min Zhou; Yan-Yan Yan; Qiao-Ru Guo; Hong Ji; Hui Wang; Tian-Tian Xu; Bolat Makabel; Christian Pilarsky; Gen He; Xi-Yong Yu; Jian-Ye Zhang
Journal:  J Nanobiotechnology       Date:  2021-10-11       Impact factor: 10.435

4.  See-N-Seq: RNA sequencing of target single cells identified by microscopy via micropatterning of hydrogel porosity.

Authors:  Jeong Hyun Lee; Emily S Park; Jane Ru Choi; Kerryn Matthews; Alice V Lam; Xiaoyan Deng; Simon P Duffy; Hongshen Ma
Journal:  Commun Biol       Date:  2022-07-30

5.  A Scalable Strand-Specific Protocol Enabling Full-Length Total RNA Sequencing From Single Cells.

Authors:  Simon Haile; Richard D Corbett; Veronique G LeBlanc; Lisa Wei; Stephen Pleasance; Steve Bilobram; Ka Ming Nip; Kirstin Brown; Eva Trinh; Jillian Smith; Diane L Trinh; Miruna Bala; Eric Chuah; Robin J N Coope; Richard A Moore; Andrew J Mungall; Karen L Mungall; Yongjun Zhao; Martin Hirst; Samuel Aparicio; Inanc Birol; Steven J M Jones; Marco A Marra
Journal:  Front Genet       Date:  2021-06-03       Impact factor: 4.599

Review 6.  High-throughput and single-cell T cell receptor sequencing technologies.

Authors:  Joy A Pai; Ansuman T Satpathy
Journal:  Nat Methods       Date:  2021-07-19       Impact factor: 47.990

Review 7.  Technological advances and computational approaches for alternative splicing analysis in single cells.

Authors:  Wei Xiong Wen; Adam J Mead; Supat Thongjuea
Journal:  Comput Struct Biotechnol J       Date:  2020-02-05       Impact factor: 7.271

  7 in total

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