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Effective detection of variation in single-cell transcriptomes using MATQ-seq
- Source :
- Nature methods. 14(3)
- Publication Year :
- 2016
-
Abstract
- The quantification of transcriptional variation in single cells, particularly within the same cell population, is currently limited by the low sensitivity and high technical noise of single-cell RNA-seq assays. We report multiple annealing and dC-tailing-based quantitative single-cell RNA-seq (MATQ-seq), a highly sensitive and quantitative method for single-cell sequencing of total RNA. By systematically determining technical noise, we show that MATQ-seq captures genuine biological variation between whole transcriptomes of single cells.
- Subjects :
- 0301 basic medicine
genetic processes
Cell
Computational biology
Biology
Biochemistry
Cell Line
Transcriptome
03 medical and health sciences
0302 clinical medicine
Gene expression
medicine
Humans
natural sciences
Molecular Biology
Genetics
Sequence Analysis, RNA
Gene Expression Profiling
RNA
High-Throughput Nucleotide Sequencing
Cell Biology
Genomics
Highly sensitive
030104 developmental biology
medicine.anatomical_structure
HEK293 Cells
Single-Cell Analysis
030217 neurology & neurosurgery
Biotechnology
Subjects
Details
- ISSN :
- 15487105
- Volume :
- 14
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Nature methods
- Accession number :
- edsair.doi.dedup.....6ec0744c8032b78cc6e8e956d6e4b059