Carmen Bravo González‐Blas

This paper identifies GSDME-FL as a macrophage-instructed regulator of glioblastoma cell-state plasticity and inflammatory cell death, showing its role in tumor progression and immune response.

This study maps glioblastoma tumor ecosystems over time using spatial single-cell profiling to identify prognostic subgroups and treatment responses.

This study identifies conserved and diverged gene regulatory networks in mammalian cerebellum development using single-nucleus gene expression and chromatin accessibility data from six species.

The paper compares enhancer codes of cell types between mammalian neocortex and avian pallium using deep learning, finding higher divergence in excitatory neurons than other cell types.

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 maps enhancer gene regulatory networks (GRNs) in liver cell types and identifies TFs governing hepatocyte zonation states using multiomics and deep learning.

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

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 identifies an intermediate cell state in melanoma through single-cell RNA-seq and ATAC-seq, revealing a gene regulatory network that governs phenotype switching and potential therapeutic targets.

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.