Arnaud Droit

The paper maps virulence-associated protein interaction networks in Cryptococcus neoformans to identify regulators of thermotolerance, revealing two novel proteins involved in heat-shock protein interactions.

This study investigates the MBTD1-EZHIP fusion protein in LGESS, showing it forms a TIP60-PRC2 complex, reduces H3K27me3, and upregulates oncogenes, similar to JAZF1-SUZ12 but with distinct mechanisms.

This study establishes and characterizes immortalized human choroidal melanocytes that retain melanocytic function and are suitable for gene editing.

This study shows that ECM composition determines tissue-specific decellularization outcomes and mechanical properties, advocating for ECM-focused quality assessment in regenerative medicine.

The paper benchmarks 16S amplicon sequencing tools and databases using mock communities to evaluate their accuracy in estimating microbial diversity.

This study identifies ZNF768 as a regulator of E2F1 expression, which drives G0/G1 transition and cell cycle progression, with implications for cancer progression.

PeptiDIA enhances peptide identification in fast-gradient DIA data using machine learning, improving identification depth by 25-34% in human and murine datasets.

This paper presents a method combining DIA MS/MS and MS1-only spectra for rapid UTI pathogen identification, achieving high accuracy in both controlled and clinical samples.

This study shows that SARS-CoV-2 Nsp2 drives immunopathology by reprogramming host immune responses, leading to more severe inflammation compared to its deletion mutant.

This study identifies Parkinson's disease risk genes expressed at brain barriers and shows poor transcript-protein correlation and low interspecies conservation.

This study examines the dynamic changes in the immune microenvironment of paediatric solid tumours over time, revealing a shift toward immunosuppressive and tolerogenic states.

This study investigates how NuA4/TIP60 complex acetylates and loads H2A.Z onto chromatin to regulate transcription, showing that acetylation precedes chromatin incorporation at promoters.

scMusketeers improves cell type annotation and reduces batch effects in single-cell data using a modular autoencoder with focal loss and adversarial domain adaptation.

This study shows Sfp1 and NuA4 interact in a TORC1-dependent manner to regulate ribosome biogenesis gene transcription through distinct mechanisms.

This paper develops a method combining LC-SRM and machine learning to rapidly identify and quantify bacterial pathogens in UTIs with high accuracy.

This paper benchmarks nineteen methods for integrating metagenomics and metabolomics data, identifies top-performing approaches, and provides guidelines for their application.

BioDiscViz provides visualization tools and consensus signature selection for BioDiscML results to improve model interpretation and usability.

The paper uses whole-exome sequencing data to identify novel breast cancer susceptibility genes and assess the contribution of coding variants to breast cancer risk.

The paper identifies and characterizes multiple protein complexes associated with MRG15 and MRGX, revealing their roles in chromatin modification and transcription regulation.

The paper introduces cis-regulatory hubs (CRHs) as a 3D model of gene regulation in neurons, showing their enrichment in schizophrenia-associated genes, SNPs, and heritability.

The paper shows GFI1 recruits the NuRD complex to open chromatin regions in myeloid progenitors, influencing chromatin structure and gene regulation during neutrophil differentiation.

The paper presents a framework for integrating longitudinal multi-omics data to detect temporal relationships and interactions between omics layers, applied to cell cycle and aphid feeding studies.

The paper benchmarks DIA acquisition methods and software tools using a complex proteomic standard, identifying optimal workflows for LC-MS/MS proteomic analyses.

The paper improves the caribou genome assembly and identifies copy number variations (CNVs) associated with adaptation in different ecotypes.

This study identifies recurrent chromosomal translocations in sarcomas that merge NuA4/TIP60 and PRC2 complexes, leading to mislocalization of chromatin marks and aberrant gene expression.

eTumorMetastasis uses whole-exome sequencing data to predict tumor recurrence by analyzing network-based gene signatures from founding clones.

The paper develops a cumulative learning approach for classifying small mass spectrometry datasets using 1D-CNNs, achieving high accuracy across diverse biological contexts.

DSNetwork aggregates variant deleteriousness predictions from multiple tools to prioritize functional variants in GWAS loci, using a web interface for visualization and analysis.

This study fine-maps 150 breast cancer risk regions to identify 178 high confidence target genes using genomic and functional annotations.

The paper introduces a framework for integrating microbiome longitudinal data with other data types to analyze relationships and associations across different biological and clinical variables.