Literature DB >> 35486244

Complete Transcriptome Analysis by 5'-End Single-Cell RNA-Seq with Random Priming.

Tsukasa Kouno1, Piero Carninci1, Jay W Shin2.   

Abstract

Single-cell transcriptome analysis reveals heterogeneous cell types in complex tissues and leads to unexpected biological findings when compared to bulk populations. However most of the methods focus on the 3'-end of polyadenylated transcripts using droplet-based technology. To achieve complete transcriptome, we describe single-cell 5'-end transcriptome protocol with random primed-cDNA harvesting on the Fluidigm C1™ platform which can isolate and process up to 96 cells from a single run with custom library preparation. The method enables detection of Transcription Start Site (TSS) at the single-cell resolution yielding a more comprehensive overview of gene regulatory elements governing in the EpiSC-like cell (EpiLC) including non-polyadenylated RNA and enhancer RNA activities.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  5′-end RNA; Enhancer; EpiSC; Fluidigm C1 ™; PSC; Single-cell complete transcriptome; TSS

Mesh:

Substances:

Year:  2022        PMID: 35486244     DOI: 10.1007/978-1-0716-2281-0_11

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


  7 in total

1.  Interactive visualization and analysis of large-scale sequencing datasets using ZENBU.

Authors:  Jessica Severin; Marina Lizio; Jayson Harshbarger; Hideya Kawaji; Carsten O Daub; Yoshihide Hayashizaki; Nicolas Bertin; Alistair R R Forrest
Journal:  Nat Biotechnol       Date:  2014-03       Impact factor: 54.908

2.  Genome-wide analysis of mammalian promoter architecture and evolution.

Authors:  Piero Carninci; Albin Sandelin; Boris Lenhard; Shintaro Katayama; Kazuro Shimokawa; Jasmina Ponjavic; Colin A M Semple; Martin S Taylor; Pär G Engström; Martin C Frith; Alistair R R Forrest; Wynand B Alkema; Sin Lam Tan; Charles Plessy; Rimantas Kodzius; Timothy Ravasi; Takeya Kasukawa; Shiro Fukuda; Mutsumi Kanamori-Katayama; Yayoi Kitazume; Hideya Kawaji; Chikatoshi Kai; Mari Nakamura; Hideaki Konno; Kenji Nakano; Salim Mottagui-Tabar; Peter Arner; Alessandra Chesi; Stefano Gustincich; Francesca Persichetti; Harukazu Suzuki; Sean M Grimmond; Christine A Wells; Valerio Orlando; Claes Wahlestedt; Edison T Liu; Matthias Harbers; Jun Kawai; Vladimir B Bajic; David A Hume; Yoshihide Hayashizaki
Journal:  Nat Genet       Date:  2006-04-28       Impact factor: 38.330

3.  Linking promoters to functional transcripts in small samples with nanoCAGE and CAGEscan.

Authors:  Charles Plessy; Nicolas Bertin; Hazuki Takahashi; Roberto Simone; Md Salimullah; Timo Lassmann; Morana Vitezic; Jessica Severin; Signe Olivarius; Dejan Lazarevic; Nadine Hornig; Valerio Orlando; Ian Bell; Hui Gao; Jacqueline Dumais; Philipp Kapranov; Huaien Wang; Carrie A Davis; Thomas R Gingeras; Jun Kawai; Carsten O Daub; Yoshihide Hayashizaki; Stefano Gustincich; Piero Carninci
Journal:  Nat Methods       Date:  2010-06-13       Impact factor: 28.547

4.  Quantitative assessment of single-cell RNA-sequencing methods.

Authors:  Angela R Wu; Norma F Neff; Tomer Kalisky; Piero Dalerba; Barbara Treutlein; Michael E Rothenberg; Francis M Mburu; Gary L Mantalas; Sopheak Sim; Michael F Clarke; Stephen R Quake
Journal:  Nat Methods       Date:  2013-10-20       Impact factor: 28.547

5.  Single-cell mRNA quantification and differential analysis with Census.

Authors:  Xiaojie Qiu; Andrew Hill; Jonathan Packer; Dejun Lin; Yi-An Ma; Cole Trapnell
Journal:  Nat Methods       Date:  2017-01-23       Impact factor: 28.547

6.  C1 CAGE detects transcription start sites and enhancer activity at single-cell resolution.

Authors:  Tsukasa Kouno; Jonathan Moody; Andrew Tae-Jun Kwon; Youtaro Shibayama; Sachi Kato; Yi Huang; Michael Böttcher; Efthymios Motakis; Mickaël Mendez; Jessica Severin; Joachim Luginbühl; Imad Abugessaisa; Akira Hasegawa; Satoshi Takizawa; Takahiro Arakawa; Masaaki Furuno; Naveen Ramalingam; Jay West; Harukazu Suzuki; Takeya Kasukawa; Timo Lassmann; Chung-Chau Hon; Erik Arner; Piero Carninci; Charles Plessy; Jay W Shin
Journal:  Nat Commun       Date:  2019-01-21       Impact factor: 14.919

7.  Single-cell transcriptomics reveals expansion of cytotoxic CD4 T cells in supercentenarians.

Authors:  Kosuke Hashimoto; Tsukasa Kouno; Tomokatsu Ikawa; Norihito Hayatsu; Yurina Miyajima; Haruka Yabukami; Tommy Terooatea; Takashi Sasaki; Takahiro Suzuki; Matthew Valentine; Giovanni Pascarella; Yasushi Okazaki; Harukazu Suzuki; Jay W Shin; Aki Minoda; Ichiro Taniuchi; Hideyuki Okano; Yasumichi Arai; Nobuyoshi Hirose; Piero Carninci
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-12       Impact factor: 11.205

  7 in total

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