Author
Listed:
- Tsukasa Kouno
(RIKEN Center for Integrative Medical Sciences (IMS))
- Jonathan Moody
(RIKEN Center for Integrative Medical Sciences (IMS))
- Andrew Tae-Jun Kwon
(RIKEN Center for Integrative Medical Sciences (IMS))
- Youtaro Shibayama
(RIKEN Center for Integrative Medical Sciences (IMS))
- Sachi Kato
(RIKEN Center for Integrative Medical Sciences (IMS))
- Yi Huang
(RIKEN Center for Integrative Medical Sciences (IMS)
ACT Genomics Co. Ltd.)
- Michael Böttcher
(RIKEN Center for Integrative Medical Sciences (IMS))
- Efthymios Motakis
(RIKEN Center for Integrative Medical Sciences (IMS)
National University of Singapore)
- Mickaël Mendez
(RIKEN Center for Integrative Medical Sciences (IMS)
Princess Margaret Cancer Research Tower 11-401)
- Jessica Severin
(RIKEN Center for Integrative Medical Sciences (IMS))
- Joachim Luginbühl
(RIKEN Center for Integrative Medical Sciences (IMS))
- Imad Abugessaisa
(RIKEN Center for Integrative Medical Sciences (IMS))
- Akira Hasegawa
(RIKEN Center for Integrative Medical Sciences (IMS))
- Satoshi Takizawa
(RIKEN Center for Integrative Medical Sciences (IMS))
- Takahiro Arakawa
(RIKEN Center for Integrative Medical Sciences (IMS))
- Masaaki Furuno
(RIKEN Center for Integrative Medical Sciences (IMS))
- Naveen Ramalingam
(Fluidigm Corporation)
- Jay West
(Fluidigm Corporation)
- Harukazu Suzuki
(RIKEN Center for Integrative Medical Sciences (IMS))
- Takeya Kasukawa
(RIKEN Center for Integrative Medical Sciences (IMS))
- Timo Lassmann
(RIKEN Center for Integrative Medical Sciences (IMS)
Perth Children’s Hospital)
- Chung-Chau Hon
(RIKEN Center for Integrative Medical Sciences (IMS))
- Erik Arner
(RIKEN Center for Integrative Medical Sciences (IMS))
- Piero Carninci
(RIKEN Center for Integrative Medical Sciences (IMS))
- Charles Plessy
(RIKEN Center for Integrative Medical Sciences (IMS)
Okinawa Institute of Science and Technology Graduate University (OIST))
- Jay W. Shin
(RIKEN Center for Integrative Medical Sciences (IMS))
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 C1TM 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.
Suggested Citation
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 Ab, 2019.
"C1 CAGE detects transcription start sites and enhancer activity at single-cell resolution,"
Nature Communications, Nature, vol. 10(1), pages 1-12, December.
Handle:
RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-018-08126-5
DOI: 10.1038/s41467-018-08126-5
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Citations
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Cited by:
- Ruiyan Hou & Chung-Chau Hon & Yuanhua Huang, 2023.
"CamoTSS: analysis of alternative transcription start sites for cellular phenotypes and regulatory patterns from 5' scRNA-seq data,"
Nature Communications, Nature, vol. 14(1), pages 1-16, December.
- Kai Battenberg & S. Thomas Kelly & Radu Abu Ras & Nicola A. Hetherington & Makoto Hayashi & Aki Minoda, 2022.
"A flexible cross-platform single-cell data processing pipeline,"
Nature Communications, Nature, vol. 13(1), pages 1-7, December.
- Parker C. Wilson & Yoshiharu Muto & Haojia Wu & Anil Karihaloo & Sushrut S. Waikar & Benjamin D. Humphreys, 2022.
"Multimodal single cell sequencing implicates chromatin accessibility and genetic background in diabetic kidney disease progression,"
Nature Communications, Nature, vol. 13(1), pages 1-20, December.
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