A highly sensitive and accurate gene expression analysis by sequencing ("bead-seq") for a single cell.
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Koji Arikawa | Hiroyuki Tsunoda | Hideki Kambara | Koji Arikawa | Hiroko Matsunaga | Mari Goto | Masataka Shirai | Huan Huang | Hiroyuki Tsunoda | H. Matsunaga | H. Kambara | M. Shirai | Huan Huang | Mari Goto
[1] Åsa K. Björklund,et al. Smart-seq2 for sensitive full-length transcriptome profiling in single cells , 2013 .
[2] Tomoharu Kajiyama,et al. Quantitative analysis of gene expression in a single cell by qPCR , 2009, Nature Methods.
[3] R. Sandberg,et al. Full-Length mRNA-Seq from single cell levels of RNA and individual circulating tumor cells , 2012, Nature Biotechnology.
[4] P. Rorsman,et al. Gene expression profiling in single cells from the pancreatic islets of Langerhans reveals lognormal distribution of mRNA levels. , 2005, Genome research.
[5] N. Tamamaki,et al. Method for single-cell microarray analysis and application to gene-expression profiling of GABAergic neuron progenitors , 2008, Neuroscience Research.
[6] H. Ueda,et al. Erratum to: Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity , 2017, Genome Biology.
[7] N. Neff,et al. Quantitative assessment of single-cell RNA-sequencing methods , 2013, Nature Methods.
[8] Catalin C. Barbacioru,et al. mRNA-Seq whole-transcriptome analysis of a single cell , 2009, Nature Methods.
[9] N. Anderson,et al. Control of macrophage cell differentiation in human promyelocytic HL-60 leukemia cells by 1,25-dihydroxyvitamin D3 and phorbol-12-myristate-13-acetate. , 1983, Cancer research.
[10] S. Bodovitz,et al. Single cell analysis: the new frontier in 'omics'. , 2010, Trends in biotechnology.
[11] S. Linnarsson,et al. Counting absolute numbers of molecules using unique molecular identifiers , 2011, Nature Methods.
[12] Robert H Singer,et al. Gene expression and the myth of the average cell. , 2003, Trends in cell biology.
[13] Kazuki Kurimoto,et al. An improved single-cell cDNA amplification method for efficient high-density oligonucleotide microarray analysis , 2006, Nucleic acids research.
[14] B. Williams,et al. Mapping and quantifying mammalian transcriptomes by RNA-Seq , 2008, Nature Methods.
[15] S. Ranade,et al. Stem cell transcriptome profiling via massive-scale mRNA sequencing , 2008, Nature Methods.
[16] Hiroyuki Tsunoda,et al. Non-biased and efficient global amplification of a single-cell cDNA library , 2013, Nucleic acids research.
[17] Yoshihide Hayashizaki,et al. Genome-wide investigation of in vivo EGR-1 binding sites in monocytic differentiation , 2009, Genome Biology.
[18] Catalin C. Barbacioru,et al. RNA-Seq analysis to capture the transcriptome landscape of a single cell , 2010, Nature Protocols.
[19] Tony Z. Jia,et al. Digital RNA sequencing minimizes sequence-dependent bias and amplification noise with optimized single-molecule barcodes , 2012, Proceedings of the National Academy of Sciences.
[20] H. Aburatani,et al. A comparison of differences in the gene expression profiles of phorbol 12-myristate 13-acetate differentiated THP-1 cells and human monocyte-derived macrophage. , 2004, Journal of atherosclerosis and thrombosis.
[21] Eric T. Wang,et al. Alternative Isoform Regulation in Human Tissue Transcriptomes , 2008, Nature.
[22] A. van Oudenaarden,et al. Using Gene Expression Noise to Understand Gene Regulation , 2012, Science.
[23] K. Tada,et al. Induction of maturation in cultured human monocytic leukemia cells by a phorbol diester. , 1982, Cancer research.
[24] S. Linnarsson,et al. Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq. , 2011, Genome research.