Christophe E. Redon

SCLC TumorMiner is a genomics platform that provides molecular classification, biomarker identification, and drug-response analysis for small cell lung cancer using integrated datasets from multiple institutions.

This study identifies key cellular programs and pathways driving metastatic organotropism in small cell lung cancer using preclinical models and multiomic profiling.

This paper identifies SEMA7A as a prognostic biomarker in adrenocortical carcinoma using transcriptome data from TCGA and NCI samples, showing its association with poor prognosis and specific signaling pathways.

This study shows that LMNA deficiency in SCLC increases R-loop accumulation, leading to genomic instability and poor patient survival.

The paper investigates replication origin over-activation in cancer cells and finds two distinct pools of origins are activated under different conditions.

This study identifies H2A.J's role in promoting ISG expression during senescence through its interaction with H1 and derepression of repeated DNA sequences.

BAMscale processes DNA sequencing datasets to generate normalized peak scores and scaled coverage tracks for visualization.