DE Kaufmann

This study tracks the development of human autoantibodies against interferons over time, revealing their maturation, specificity, and synergistic effects in blocking IFN signaling.

The paper introduces RF-PHATE, a supervised data visualization method that integrates expert knowledge to enhance interpretation of complex biological data.

This study identifies gene-environment interactions influencing immune response to SARS-CoV-2 in hospitalized patients using single-cell RNA-sequencing and eQTL analysis.

This study analyzes longitudinal gene expression in COVID-19 patients to identify distinct disease phases and associated therapeutic targets.

The paper identifies chromatin accessibility QTLs (caQTLs) in immune cells and finds they colocalize more with GWAS loci than eQTLs, but often lack downstream gene expression effects.

This study uses virtual patient cohorts to model immune response differences in cancer and immunosuppressed COVID-19 patients, identifying key immune dysregulation factors.

The paper shows CD4 downregulation precedes Env expression in HIV-1-infected cells, making them resistant to non-neutralizing antibody-mediated ADCC.

This study shows that immunosuppressed patients with hematologic cancers develop viral populations with immune escape mutations, suggesting the need for combination therapies.

This study evaluates the impact of freezing cobas PCR Media on SARS-CoV-2 RNA integrity and whole genome sequencing results, finding no significant negative effects.

This study identifies OAS1 as a protective factor against COVID-19 severity and susceptibility using Mendelian randomization and case-control analyses.