David J. Erle

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 study identifies allergen-reactive Th2 cells in human airways using high-dimensional profiling and shows their systemic expansion following allergen challenge.

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.

The paper uses a massively parallel reporter assay to analyze 3' UTR sequences and shows that ARE length and registration affect mRNA stability and gene expression.

MPRAudit quantifies the fraction of variance explained by unknown features in MPRA data, revealing sequence variation as the main driver of outcome variability but with known categories explaining only part of the variance.

The paper develops an efficient method for gene targeting in human bronchial epithelial cells using direct delivery of sgRNA and rCas9, demonstrating its application in studying SPDEF's role in IL-13-induced mucostasis.

This study compares miRNA profiling methods using synthetic pools and exRNA samples, finding significant differences in reproducibility, accuracy, and sensitivity across platforms.

The paper develops GCLiPP to map RNA binding protein occupancy and identifies cis-regulatory elements in T cell 3' UTRs, revealing shared regulatory mechanisms across human and mouse.

The paper compares small RNA composition across 12 human biofluids, finding large variations in miRNA and tDR levels and identifying Y RNA fragments in several biofluids.