Joy N. Ismail

Optimised fluorescence-activated nuclei sorting for epigenomic analysis of cortical cell types

The paper introduces optimized fluorescence-activated nuclei sorting (FANS) protocols to isolate cell-type-specific nuclei from human and mouse brain tissue for multi-omic analysis.

CUT&Tag recovers up to half of ENCODE ChIP-seq histone acetylation peaks

This study benchmarks CUT&Tag against ENCODE ChIP-seq for histone modifications, finding 54% average recall of known peaks and comparable peak caller performance.

Spatial transcriptomics in the adult Drosophila brain and body

The paper applies spatial transcriptomics to the adult Drosophila brain and body to map mRNA locations and integrate with single-cell data.

Cell type directed design of synthetic enhancers

This study uses deep learning to design synthetic enhancers that target specific cell types in fruit flies and humans, revealing the enhancer code as optimal TF activator motifs and absence of repressor motifs.

HyDrop: droplet-based scATAC-seq and scRNA-seq using dissolvable hydrogel beads

HyDrop is a droplet microfluidic platform for scATAC-seq and scRNA-seq that improves throughput and sensitivity while reducing cost.

Decoding gene regulation in the fly brain

The paper identifies regulatory regions and gene regulatory networks in Drosophila brain cell types using chromatin accessibility and transcriptome data.