Genome Research · 2014 · 33 citations · 28 references
Life SciencesBiologyDevelopmental BiologyGene ExpressionGene Regulatory NetworksTranscriptomicsCell-type Specific Gene ExpressionCell-type-specific TranscriptomicsDevelopmental TranscriptomicsCell State AnalysisCell Type SpecificityCell Type-specific Regulatory NetworksCell Type-specific Transcriptional RegulationCell-type Specific TranscriptionEarly Embryonic Gene Regulatory NetworksGene Regulatory Networks In Early DevelopmentRegulatory Gene Networks
Differentially expressed, cell type-specific effector gene sets hold the key to multiple important problems in biology, from theoretical aspects of developmental gene regulatory networks (GRNs) to various practical applications. Although individual cell types of interest have been recovered by various methods and analyzed, systematic recovery of multiple cell type-specific gene sets from whole developing organisms has remained problematic. Here we describe a general methodology using the sea urchin embryo, a material of choice because of the large-scale GRNs already solved for this model system. This method utilizes the regulatory states expressed by given cells of the embryo to define cell type and includes a fluorescence activated cell sorting (FACS) procedure that results in no perturbation of transcript representation. We have extensively validated the method by spatial and qualitative analyses of the transcriptome expressed in isolated embryonic skeletogenic cells and as a consequence, generated a prototypical cell type-specific transcriptome database.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
STAR: ultrafast universal RNA-seq aligner
Alexander Dobin, Carrie Davis, Felix Schlesinger et al. · Bioinformatics · 2012 · 56.2K citations · Full text
Differential expression analysis for sequence count data
Simon Anders, Wolfgang Huber · Genome biology · 2010 · 16.4K citations · Full text