Gert Hulselmans

TL;DR: On a compendium of single-cell data from tumors and brain, it is demonstrated that cis-regulatory analysis can be exploited to guide the identification of transcription factors and cell states.

TL;DR: SCENIC (Single Cell rEgulatory Network Inference and Clustering) is the first method to analyze scRNA-seq data using a network-centric, rather than cell-centric approach and allows for the simultaneous tracing of genomic regulatory programs and the mapping of cellular identities emerging from these programs.

TL;DR: Over-activate p53 in breast cancer cells, followed by RNA-seq and ChIP-seq, and could identify an extensive up-regulated network controlled directly by p53 and a repressive network with no indication of direct p53 regulation but rather an indirect effect via E2F and NFY are mapped.

TL;DR: A single-cell transcriptome atlas of the entire adult Drosophila melanogaster brain sampled across its lifespan is presented, allowing comprehensive exploration of all transcriptional states of an entire aging brain.

TL;DR: Exome sequencing on 67 T-ALLs is used to gain insight into the mutational spectrum in these leukemias and identify the ribosome as a potential oncogenic factor.