Sara Aibar

The paper identifies a conserved gene co-expression module in Drosophila linked to epilepsy, showing metabolic rate and AMPK activity influence seizure susceptibility.

SCENIC+ infers enhancer-driven gene regulatory networks from single-cell multi-omics data, improving TF identification and enabling analysis of regulatory dynamics and perturbations.

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

The paper spatially integrates single-cell transcriptomics and epigenomics data to identify enhancers and gene regulatory relationships in Drosophila eye-antennal disc.

The paper introduces cisTopic, a probabilistic framework for discovering cis-regulatory topics and cell states from single-cell epigenomics data, and validates its findings using RNA-seq co-expression networks and perturbation experiments.

This study creates a single-cell transcriptome catalogue of the Drosophila brain across its lifespan, revealing regulatory erosion and identifying novel neuronal states linked to ageing.

Building gene regulatory networks from scRNA-seq and clustering cells on them identifies stable states robustly to batch effects, applied to mouse and human brain and to melanoma.