title: Effective detection of variation in single-cell transcriptomes using MATQ-seq.
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.
authors.affiliation: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.|Integrative Molecular and Biomedical Sciences Graduate Program, Baylor College of Medicine, Houston, Texas, USA.
authors.forename: Kuanwei
authors.initials: K
authors.lastname: Sheng
authors.affiliation: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
authors.forename: Wenjian
authors.initials: W
authors.lastname: Cao
authors.affiliation: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
authors.forename: Yichi
authors.initials: Y
authors.lastname: Niu
authors.affiliation: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
authors.forename: Qing
authors.initials: Q
authors.lastname: Deng
authors.affiliation: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.|Integrative Molecular and Biomedical Sciences Graduate Program, Baylor College of Medicine, Houston, Texas, USA.|Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA.|McNair Medical Institute, Baylor College of Medicine, Houston, Texas, USA.
authors.forename: Chenghang
authors.initials: C
authors.lastname: Zong
mesh_terms: D002460:Cell Line; D020869:Gene Expression Profiling / Q000379:methods*; D023281:Genomics / Q000379:methods*; D057809:HEK293 Cells; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D012313:RNA / Q000235:genetics*; D017423:Sequence Analysis, RNA / Q000379:methods*; D059010:Single-Cell Analysis / Q000379:methods; D059467:Transcriptome / Q000235:genetics
chemical_list: D012313:RNA