Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity
Open accessAbstract
Development of a highly reproducible and sensitive single-cell RNA sequencing (RNA-seq) method would facilitate the understanding of the biological roles and underlying mechanisms of non-genetic cellular heterogeneity. In this study, we report a novel single-cell RNA-seq method called Quartz-Seq that has a simpler protocol and higher reproducibility and sensitivity than existing methods. We show that single-cell Quartz-Seq can quantitatively detect various kinds of non-genetic cellular heterogeneity, and can detect different cell types and different cell-cycle phases of a single cell type. Moreover, this method can comprehensively reveal gene-expression heterogeneity between single cells of the same cell type in the same cell-cycle phase.
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Many scRNA-seq approaches introduced over the last ten years are now key for measuring cell-to-cell variation and its effects on function across populations.
“Several scRNA-seq methods developed in the recent decade have become essential for capturing intercellular variation and its impact on cell functions at the population scale15–19.”
From The technological landscape and applications of single-cell multi-omics (2023) · cites this paper as [19]
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- Authors
- Sasagawa, Y., Nikaido, I., Hayashi, T., Danno, H., Uno, K. D., Imai, T., & Ueda, H. R.
- Affiliations
- RIKEN (JP)
- Japan Science and Technology Agency (JP)
- Corresponding author
- Sasagawa, Yohei
- Nikaido, Itoshi
- Ueda, Hiroki R
- Venue
- Genome Biology
- Published
- 2013-04-17
- Volume
- 14
- Issue
- 4
- Pages
- 9-9
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- PMC
- PMC4054835
- OpenAlex
- W2045317504
- Cited by
- 455
- References
- 31
- Citations by year
- 2026: 14 · 2025: 16 · 2024: 33 · 2023: 30 · 2022: 46 · 2021: 35 · 2020: 40 · 2019: 54 · 2018: 32 · 2017: 42 · 2016: 34 · 2015: 39 · 2014: 30 · 2013: 8
- FWCI
- 16.56
- Type
- journal article
- Language
- en
- Update notices
- correction (2017-01-18)
- Open access
- gold
- doi.org
- Locations
- Genome biology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Research Organization of Information and Systems
- Ministry of Education, Culture, Sports, Science and Technology
- Japan Society for the Promotion of Science (23115006, 23680038)
- RIKEN
- Institute of Genetics
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Molecular Biology Techniques and Applications
- Keywords
- single-cell RNA sequencing, non-genetic heterogeneity, gene expression heterogeneity, cell cycle, cell type annotation, sequencing sensitivity
- MeSH terms
- Animals, Cell Line, Organ Specificity, Sensitivity and Specificity, Transcription, Genetic, Sequence Analysis, RNA, Mice, Single-Cell Analysis
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