Maria Dall’Era

This study identifies novel SLE autoantigens and links EBV-driven immunity to autoimmunity through longitudinal PhIP-seq and machine learning analysis.

This study defines the single-cell landscape of Class II lupus nephritis and identifies fibroblast transcriptional programs and chronicity index as potential predictors of kidney outcomes.

This study uses single-cell RNA-sequencing and spatial transcriptomics to analyze myeloid cell dynamics in lupus nephritis, showing shifts in immune responses linked to disease progression.

The paper identifies distinct genetic mechanisms for early (nuclear) and late (cellular) RNA eQTL by comparing their genomic localization and functional effects across tissues.

A single-cell atlas of blood and tissue samples from lupus nephritis patients and healthy controls identifies stromal and immune populations, including scar-associated macrophages, which correlate with disease activity.

The paper identifies three immunologically distinct groups in lupus nephritis patients based on blood immunophenotyping, correlating with histopathology, treatment response, and renal outcomes.

The paper identifies immune signatures in SLE cutaneous subtypes using transcriptomics, revealing subtype-specific pathways and potential therapeutic targets.

The paper identifies cell-specific transposable element (TE) gene expression associations with SLE phenotypes, finding 731 differentially expressed TEs linked to antiviral pathways and IFN signaling.

This study identifies ethnicity-specific transcriptomic subgroups in SLE patients using RNA-seq data and correlates them with disease activity.