Matthew C. Altman

This study shows Th17 cells enhance interferon responses and viral replication in bronchial epithelial cells from asthmatic children infected with rhinovirus-16.

This study shows IL-13 suppresses antiviral defenses and enhances proinflammatory pathways in RV-infected bronchial epithelium, contributing to asthma exacerbations.

This study identifies dysregulated interferon and inflammatory responses to rhinovirus in exacerbation-prone pediatric asthma using transcriptomics and protein analysis.

This study identifies SH2B3 as a critical regulator of T cell tolerance in T1D, showing that its deficiency enhances cytokine signaling and promotes islet destruction.

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.

kimma is an R package for linear mixed effects modeling of RNA-seq data, offering improved sensitivity and model complexity compared to existing pipelines.

The paper identifies high-value CpGs in the human methylome associated with allergic sensitization using a custom array and WGBS data from airway epithelial cells.

This study identifies a genetic variant associated with reduced lung function in urban children and shows its mediation by DNA methylation linked to smoking exposure.

The paper provides R scripts for analyzing and visualizing blood transcriptional module repertoires, demonstrating their application in septic patients' transcriptome data.

The paper identifies a regulatory region near the IL33 gene that influences asthma risk through allele-specific expression and OCT-1 binding.