Arthur Radley

ESFS improves scRNA-seq data interpretability by identifying gene sets with complex expression dynamics, outperforming traditional methods in diverse biological contexts.

The paper uses genomic barcoding and single-cell RNA sequencing to reveal hierarchical lineage architecture in human and avian spinal cord development, showing conserved lineage restriction and developmental routes.

The paper uses an in vivo CRISPR screen in chick embryos to identify MLLT3 as a regulator of neural fate specification from the caudal epiblast.

This paper introduces cESFW for scRNA-seq analysis, revealing high-resolution developmental trajectories in human embryos and identifying lineage-specific markers.

This study uses human naive PSC models to show FGF signaling is critical for hypoblast specification, revealing conservation with mouse lineage specification.

The paper synthesizes a shorter yeast chromosome and studies its fusion with other chromosomes, revealing new 3D structural interactions and Red1 binding patterns.

The paper identifies the sequential activation of hypoblast marker genes in the human blastocyst, supporting a model of sequential lineage commitment.

The paper identifies a distinct transcriptional programme in pregranulosa cells before primordial follicle activation using single-cell RNA sequencing in mice.

Entropy Sorting identifies meaningful cellular heterogeneity in scRNA-seq data, revealing the inner cell mass in human pre-implantation embryos.