UCLA researchers performed RNA sequencing on 40,000 cells to create a high-resolution single-cell gene expression atlas of developing human cortex, providing the first single-cell characterization of previously uncharacterized cell types, including human subplate neurons, comparisons with bulk tissue, and systematic ...
Read More »Transcriptional benchmarking of in vitro cells to in vivo with single-cell rna-seq
Single-cell genomic methods now provide unprecedented resolution for characterizing the component cell types and states of tissues such as the epithelial subsets of the gastrointestinal tract. Nevertheless, functional studies of these subsets at scale require faithful in vitro models of ...
Read More »Using single-cell genomics to understand developmental processes and cell fate decisions
High-throughput -omics techniques have revolutionised biology, allowing for thorough and unbiased characterisation of the molecular states of biological systems. However, cellular decision-making is inherently a unicellular process to which “bulk” -omics techniques are poorly suited, as they capture ensemble averages ...
Read More »switchde – Inference of switch-like differential expression along single-cell pseudotemporal trajectories
Pseudotime analyses of single-cell RNA-seq data have become increasingly common. Typically, a latent trajectory corresponding to a biological process of interest – such as differentiation or cell cycle – is discovered. However, relatively little attention has been paid to modelling ...
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