Ruth R. Montgomery

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.

This paper shows biologic therapy in severe asthma reduces a specific activated eosinophil subpopulation linked to worse asthma control and lung function.

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.

This study investigates viral reactivation in COVID-19 patients, finding associations between reactivation of specific virus families and clinical outcomes, including mortality and PASC symptoms.

This study identifies immune programs linked to COVID-19 severity and mortality through longitudinal multi-omics analysis of 1,152 hospitalized patients.

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

Time-course single-cell RNA sequencing of infected human bronchial epithelial cultures reports ciliated cells as a major target, with tropism later widening to basal and club cells.

SAUCIE is a deep neural network that processes large single-cell datasets, performs batch correction, and identifies cluster-based signatures in dengue patient T cells.

The paper introduces DeepCyTOF, a deep learning method for automating cell gating in mass cytometry data, achieving high concordance with manual gating and performing well on benchmark challenges.