Clive S. D’Santos

This paper identifies a redox-gated phagocytic rheostat in neutrophils by analyzing phosphoproteomic and functional responses to bacterial exposure.

The paper identifies a non-catalytic repressor function of TET1 and an activating role of macroH2A.2 in bivalent chromatin during neuroectoderm differentiation.

This paper shows that IL-1-activated cancer-associated fibroblasts (iCAFs) promote STAT1-driven transcriptional reprogramming in pancreatic tumour cells, leading to chemoresistance and identifying STAT1 as a therapeutic target.

This study identifies a mechanism by which skull bone marrow-derived HSPCs and CD4+ T cells promote immunotolerance in childhood brain tumours, showing that antibody therapy targeting CSF cytokines can disrupt this process and induce tumour regression.

This study identifies MOZ and HBO1 as molecular dependencies in NUP98-rearranged AML, showing their inhibition reduces leukemic burden and synergizes with Menin inhibitors.

EstroGene2.0 is a multi-omic database that compiles data on estrogen receptor responses and resistance in breast cancer, revealing diverse transcriptomic changes and identifying key targets.

The paper investigates the role of GLP methyltransferase in oocyte development using multi-omics analysis and mouse models, finding that GLP contributes to transcriptional repression and is critical for oogenesis.

The paper examines how MEK and GSK3 inhibition affects the methylome and transcriptome of mouse embryonic stem cells, revealing distinct epigenetic and transcriptional changes.

The paper identifies 179 proteins interacting with PtdIns(3,4,5)P3 in nuclei, revealing enrichment in RNA processing and DNA repair, with PARP1 as a key interactor.

This study identifies Dppa2/4 as epigenetic factors that establish bivalency at developmental promoters, enabling lineage commitment by maintaining poised RNA polymerase and preventing DNA methylation.

The paper identifies copy number aberrations that alter kinase signaling and highlights potential therapeutic targets by integrating genomic and proteomic data across cancer samples.