Cristian Iperi

This study creates a multi-organ single-cell atlas of systemic sclerosis to identify shared and tissue-specific transcriptional programs and potential therapeutic targets.

BiomiX 3.0 is a multi-omics integration platform that introduces PRAMIGO, a supervised heterogeneous graph transformer, and benchmarks five methods on CLL and PTB datasets, showing that no single method captures all biologically relevant signals.

This paper identifies an IFN-α signature in B cells of Sjögren's disease patients, revealing metabolic reprogramming and refining molecular classification.

This study characterizes PDE4B expression in systemic sclerosis (SSc) tissues, showing dysregulation in immune cells and protein enrichment in activated fibroblasts, supporting PDE4B as a therapeutic target.

This study identifies SSc synovitis as an IFN-driven stromal condition distinct from RA, with implications for IFNAR1 blockade as a therapeutic strategy.

The paper identifies a stable metabolic-secretory defect in RA monocytes across activation states using multi-omics analysis, linking reduced glycosylation to disease mechanisms.

This study integrates multi-omics data from Sjogren's disease patients to identify LPA and metabolic pathway signatures in B cells and the immune microenvironment.

BiomiX automates multiomics data analysis and integration, enabling efficient comparison of two cohorts through MOFA and providing interpretable results using literature and clinical data.