bioRxiv (Cold Spring Harbor Laboratory) · 2017 · 284 citations · 14 references
Life SciencesCell BiologyDevelopmental BiologyGene ExpressionStem Cell BiologyTranscriptomicsLineage ReconstructionLineage TracingPseudotime AnalysisSingle-cell AnalysisSingle-cell Rna Sequencing AnalysisSingle-cell TranscriptomicsLineage InferenceLineage-resolved TranscriptomicsMultipotent Progenitor CellsMultipotent ProgenitorsPseudotime InferenceSingle-cell Gene Expression ProfilingSingle-cell Lineage AnalysisSingle-cell Lineage Inference
Abstract Single-cell transcriptomics allows researchers to investigate complex communities of heterogeneous cells. These methods can be applied to stem cells and their descendants in order to chart the progression from multipotent progenitors to fully differentiated cells. While a number of statistical and computational methods have been proposed for analyzing cell lineages, the problem of accurately characterizing multiple branching lineages remains difficult to solve. Here, we introduce a novel method, Slingshot, for inferring multiple developmental lineages from single-cell gene expression data. Slingshot is a uniquely robust and flexible tool for inferring developmental lineages and ordering cells to reflect continuous, branching processes.
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Laurens van der Maaten, Geoffrey E. Hinton · Journal of Machine Learning Research · 2008 · 35.7K citations
Stochastic mRNA Synthesis in Mammalian Cells
Arjun Raj, Charles S. Peskin, Daniel Tranchina et al. · PLoS Biology · 2006 · 1.9K citations · Full text