Single-Cell Gene Expression Profiling

By J. Levsky, S. Shenoy, R. Pezo, R. Singer. Science, 2002

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Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments (2012, background): “This assumption is supported by the idea that transcription of mRNA is thought to occur in bursts of activity (Levsky et al. , 2002; Kaufmann and van Oudenaarden, 2007), followed by quiescence.”
Single-cell entropy for accurate estimation of differentiation potency from a cell's transcriptome (2017, methodology): “There are five steps to the SCENT algorithm: (1) estimation of the differentiation potency of single cells via computation of signalling entropy, (2) inference of the potency state distribution across the single-cell population, (3) quantification of the intercellular heterogeneity of potency states”
Museum of spatial transcriptomics (2020, methodology): “References: 1976 LCM [37], 1988 ligase mediated single nucleotide variant (SNV) detection [38], 1989 amplification [39, 40], 1989 FISH [41], 1995 microarray [42], 1996 LCM [43, 44], 1998 smFISH [45], 1999 LCM [46], 2002 combinatorial [47], 2008 RNA-seq [48], 2012 Tomo-array [49], 2013 ISS [50], 2014”