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

  • 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

Research output: Contribution to journalArticlepeer-review

Abstract

Single-cell transcriptomic profiling is a powerful tool to explore cellular heterogeneity. However, most of these methods focus on the 3′-end of polyadenylated transcripts and provide only a partial view of the transcriptome. We introduce C1 CAGE, a method for the detection of transcript 5′-ends with an original sample multiplexing strategy in the C1 TM microfluidic system. We first quantifiy the performance of C1 CAGE and find it as accurate and sensitive as other methods in the C1 system. We then use it to profile promoter and enhancer activities in the cellular response to TGF-β of lung cancer cells and discover subpopulations of cells differing in their response. We also describe enhancer RNA dynamics revealing transcriptional bursts in subsets of cells with transcripts arising from either strand in a mutually exclusive manner, validated using single molecule fluorescence in situ hybridization.

Original languageEnglish
Article number360
JournalNature Communications
Volume10
Issue number1
DOIs
Publication statusPublished - 1 Dec 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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