David Wofsy

The paper uses serum proteomics to identify molecular signatures that classify lupus nephritis, differentiate disease activity and chronicity, and predict treatment response.

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.

This paper establishes a protocol for preserving and analyzing single-cell transcriptomes from cryopreserved renal tissue and urine samples in lupus nephritis studies.