Rafick‐Pierre Sékaly

This paper identifies 23 candidate causal genes for critical COVID-19 by integrating severity-stratified, longitudinal cis-eQTL mapping with GWAS signals from 1,031 patients.

The paper identifies distinct follicular helper CD4 T cell programming in HIV-positive individuals who produce broadly neutralizing antibodies, linking it to improved B cell follicle architecture and reduced suppressor cells.

The paper validates an LLM-guided gene prioritization framework for sepsis and tests its generalizability to obesity and infection using clinical and proteomic data.

The paper identifies a multi-omics recovery factor predictive of long COVID using data from the IMPACC study, showing it can predict LC risk early after infection.

This study identifies immune subtypes in hospitalized COVID-19 patients linked to clinical outcomes and long COVID risk through longitudinal multi-omics analysis.

The paper introduces the Immune Signatures Data Resource, a compendium of standardized systems vaccinology datasets for comparative vaccine response analysis.

The paper identifies an IL-15 response signature in vaccinated rhesus macaques that correlates with protection against SIV challenge following RhCMV/SIV vaccination.

The paper analyzes the viral-host interactome of SARS-CoV, MERS-CoV, and HCoV-229E using a network-based approach to predict SARS-CoV-2 pathogenesis.