bioRxiv (Cold Spring Harbor Laboratory) · 2018 · 17 citations · 43 references
Life SciencesDevelopmental BiologyNeuroscienceCellular NeuroscienceDevelopmental NeuroscienceTranscriptomicsNeural DevelopmentNeural DifferentiationNeural Stem CellsNeuronal DevelopmentNeuronal DifferentiationSingle-cell TranscriptomicsCell Type-specific Expression QuantificationCell-type-specific Expression EstimationHuman Induced Pluripotent Stem Cell ModelsInduced Pluripotent Stem CellsNeural Cell DifferentiationNeural Stem Cell DifferentiationNeuronal TranscriptomicsSingle-cell Expression Signatures
Summary Human induced pluripotent stem cells (hiPSCs) are a powerful model of neural differentiation and maturation. We present a hiPSC transcriptomics resource on corticogenesis from 5 iPSC donor and 13 subclonal lines across nine time points over 5 broad conditions: self-renewal, early neuronal differentiation, neural precursor cells (NPCs), assembled rosettes, and differentiated neuronal cells that were validated using electrophysiology. We identified widespread changes in the expression of individual transcript features and their splice variants, gene networks, and global patterns of transcription. We next demonstrated that co-culturing human NPCs with rodent astrocytes resulted in mutually synergistic maturation, and that cell type-specific expression data can be extracted using only sequencing read alignments without potentially disruptive cell sorting. We lastly developed and validated a computational tool to estimate the relative neuronal maturity of iPSC-derived neuronal cultures and human brain tissue, which were maturationally heterogeneous but contained subsets of cells most akin to adult human neurons.
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WGCNA: an R package for weighted correlation network analysis
Peter Langfelder, Steve Horvath · BMC Bioinformatics · 2008 · 29.1K citations · Full text
Daehwan Kim, Geo Pertea, Cole Trapnell et al. · Genome biology · 2013 · 13.7K citations · Full text
Salmon provides fast and bias-aware quantification of transcript expression
Rob Patro, Geet Duggal, Michael I. Love et al. · Nature Methods · 2017 · 13.7K citations · Full text