Sébastien Vigneau

This study identifies a loss of osteoblastic lineage fidelity in metastatic osteosarcoma through single-nucleus RNA sequencing, linking it to disease progression and potential therapeutic targets.

The paper identifies an IFN response-high epigenetic program linked to BAP1 deficiency in kidney cancer using single nucleus ATAC sequencing across multiple cohorts.

The paper develops DRUG-seq to profile drug responses in primary human cells, revealing shared and cell-type-specific transcriptional changes across multiple compounds and concentrations.

This paper creates a spatial cell atlas of neuroblastoma, revealing tumor heterogeneity through multi-omics data and identifying spatial compartmentalization and signaling patterns.

SCHAF generates spatially resolved single-cell transcriptomes from H&E histology images using vision transformers and adversarial learning, showing good agreement with ground-truth data.

This study uses single-cell RNA sequencing to analyze developing and mature glia in peripheral sensory ganglia, revealing transcriptional differences and shared molecular features across glial subtypes.

This study identifies transcriptional states in mCRPC that mediate treatment resistance, including AR splicing heterogeneity, TGF-β signaling, and immune infiltration patterns.

The paper develops a toolbox for scRNA-Seq and snRNA-Seq of fresh and frozen human tumors, testing it across eight tumor types and optimizing protocols for different tissue characteristics.

The paper identifies DNA methylation as a key mechanism for maintaining monoallelic expression on autosomes and reveals its tunable control of allele-specific expression.

MaGIC identifies monoallelic expressed genes using chromatin signatures from ChIP-seq data, providing a tool for analyzing MAE in human and mouse cells.