Literature DB >> 29767364

Single-Cell mRNA-Seq Using the Fluidigm C1 System and Integrated Fluidics Circuits.

Haibiao Gong1, Devin Do1, Ramesh Ramakrishnan2,3.   

Abstract

Single-cell mRNA-seq is a valuable tool to dissect expression profiles and to understand the regulatory network of genes. Microfluidics is well suited for single-cell analysis owing both to the small volume of the reaction chambers and easiness of automation. Here we describe the workflow of single-cell mRNA-seq using C1 IFC, which can isolate and process up to 96 cells. Both on-chip procedure (lysis, reverse transcription, and preamplification PCR) and off-chip sequencing library preparation protocols are described. The workflow generates full-length mRNA information, which is more valuable compared to 3' end counting method for many applications.

Keywords:  Gene expression; Integrated fluidic circuit; Single-cell; mRNA-seq

Mesh:

Substances:

Year:  2018        PMID: 29767364     DOI: 10.1007/978-1-4939-7834-2_10

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


  5 in total

Review 1.  Microfluidics for Neuronal Cell and Circuit Engineering.

Authors:  Rouhollah Habibey; Jesús Eduardo Rojo Arias; Johannes Striebel; Volker Busskamp
Journal:  Chem Rev       Date:  2022-09-07       Impact factor: 72.087

Review 2.  Single-Cell Sequencing: Ariadne's Thread in the Maze of Acute Myeloid Leukemia.

Authors:  Immacolata Redavid; Maria Rosa Conserva; Luisa Anelli; Antonella Zagaria; Giorgina Specchia; Pellegrino Musto; Francesco Albano
Journal:  Diagnostics (Basel)       Date:  2022-04-15

3.  High-Throughput Single Cell Proteomics Enabled by Multiplex Isobaric Labeling in a Nanodroplet Sample Preparation Platform.

Authors:  Maowei Dou; Geremy Clair; Chia-Feng Tsai; Kerui Xu; William B Chrisler; Ryan L Sontag; Rui Zhao; Ronald J Moore; Tao Liu; Ljiljana Pasa-Tolic; Richard D Smith; Tujin Shi; Joshua N Adkins; Wei-Jun Qian; Ryan T Kelly; Charles Ansong; Ying Zhu
Journal:  Anal Chem       Date:  2019-09-25       Impact factor: 6.986

Review 4.  Immune ageing at single-cell resolution.

Authors:  Denis A Mogilenko; Irina Shchukina; Maxim N Artyomov
Journal:  Nat Rev Immunol       Date:  2021-11-23       Impact factor: 108.555

Review 5.  Single-Cell Transcriptome Analysis as a Promising Tool to Study Pluripotent Stem Cell Reprogramming.

Authors:  Hyun Kyu Kim; Tae Won Ha; Man Ryul Lee
Journal:  Int J Mol Sci       Date:  2021-06-01       Impact factor: 5.923

  5 in total

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