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Method Article
Chenghang (Chuck) Zong
Baylor College of Medicine
Corresponding Author
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This work is licensed under a CC BY-NC 3.0 License. Read Full License
Quantification of transcriptional variations in single cells, particularly of the same cell population, is currently still limited by both the sensitivity and the technical noise of single-cell RNA-seq assays. We report a single-cell RNA-seq method -- Multiple Annealing and dC-Tailing based Quantitative single-cell RNA-seq (MATQ-seq) -- that achieves high sensitivity and low technical noise.
Keywords
Single cell RNA-seq; single cell transcriptome
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MATQ seq single cell transcriptome protocol Zong Lab
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Associated Publications
Effective detection of variation in single-cell transcriptomes using MATQ-seq
by Kuanwei Sheng, Wenjian Cao, Yichi Niu, +2
Nature Methods (28 February, 2017)
An open repository of community-contributed protocols sponsored by Nature Research.
Learn more about Protocol Exchange
Method Article
Chenghang (Chuck) Zong
Baylor College of Medicine
Corresponding Author
Version History
CURRENT STATUS: Posted
Version 1
Posted 28 Feb, 2017
No community comments so far
Metrics
Comments: 0
HTML Views: ...
License:
This work is licensed under a CC BY-NC 3.0 License. Read Full License
Quantification of transcriptional variations in single cells, particularly of the same cell population, is currently still limited by both the sensitivity and the technical noise of single-cell RNA-seq assays. We report a single-cell RNA-seq method -- Multiple Annealing and dC-Tailing based Quantitative single-cell RNA-seq (MATQ-seq) -- that achieves high sensitivity and low technical noise.
N/A
This is a list of supplementary files associated with this preprint. Click to download.
- supplement0.docx
MATQ seq single cell transcriptome protocol Zong Lab
Loading...
Associated Publications
Effective detection of variation in single-cell transcriptomes using MATQ-seq
by Kuanwei Sheng, Wenjian Cao, Yichi Niu, +2
Nature Methods (28 February, 2017)