David Sims

Fibroblast specialisation across microanatomy in a single-cell atlas of healthy human Achilles tendon

The paper creates a single-cell atlas of the healthy human Achilles tendon, identifying six fibroblast subtypes with distinct spatial distributions and transcriptional profiles.

A High-Resolution Atlas of the Brain Predicts Lineage and Birth Order Underly Neuronal Identity.

The paper creates a high-resolution single-cell transcriptomic atlas of the Drosophila brain, showing that neuronal identity is determined by lineage and birth order.

The long-range gene regulatory landscape of cerebellar granule neuron progenitors

The paper identifies long-range gene regulatory interactions in cerebellar granule neuron progenitors using pcHi-C, ATAC-seq, and ChIP-seq, revealing co-regulation by Atoh1 and CHD7.

The dynamic gene regulatory landscape of the mouse brain in response to sleep deprivation

This study investigates how sleep deprivation alters gene regulatory networks in three mouse brain regions using multiomic analysis, revealing region-specific epigenomic changes.

Gliotransmission of D-serine promotes thirst-directed behaviors in Drosophila

The paper identifies D-serine release from astrocytes as a mechanism promoting thirst-directed behaviors in Drosophila by activating glutamatergic circuits.

Correction of amyotrophic lateral sclerosis related phenotypes in induced pluripotent stem cell-derived motor neurons carrying a hexanucleotide expansion mutation in C9orf72 by CRISPR/Cas9 genome editing using homology-directed repair

This study corrects a C9orf72 hexanucleotide expansion in iPSC-derived motor neurons using CRISPR/Cas9 and HDR, restoring normal gene expression and eliminating pathological phenotypes.

Co-transcriptional loading of RNA export factors shapes the human transcriptome.

The paper shows that RNA export factors are co-transcriptionally recruited to mRNAs via splicing before 3-end processing, influencing splicing and polyadenylation.

CGAT-core: a python framework for building scalable, reproducible computational biology workflows

CGAT-core is a Python framework for building scalable, reproducible computational biology workflows, demonstrated with an RNAseq analysis pipeline.

The genetic architecture of hair colour in the UK population

The paper maps the genetic architecture of hair colour in the UK population, identifying multiple loci and epistatic interactions contributing to red and blonde hair.