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Method Article
MATQ-seq protocol
Chenghang (Chuck) Zong
Baylor College of Medicine
Corresponding Author
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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)
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This is a preprint. It has not completed peer review.
Method Article
MATQ-seq protocol
Chenghang (Chuck) Zong
Baylor College of Medicine
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
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.
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)