Hope A. Townsend

The paper identifies airway epithelial transcriptional mechanisms linked to air pollutant exposure and lung disease risk using a functional genomics pipeline, highlighting hyaluronic acid metabolism and TOMM7 regulation as potential therapeutic targets.

SPP1hi macrophages in RA synovial fibrin deposits promote tissue hyperplasia.

This paper integrates multiple transcriptomics assays to identify cancer biomarkers, finding GBP4 as a predictor of recurrence and immune remodeling.

This study investigates the predictability of progression-free survival in ovarian cancer using NanoString gene expression data from pre- and post-chemotherapy samples, finding low predictability and suggesting the need for larger datasets.

The paper introduces two algorithms, Mu Counts and TFEA-LE, to improve the identification of differentially transcribed regulatory elements by integrating motif information and enhancing precision and recall.

The paper introduces the LIET model to analyze RNA polymerase kinetics across transcription stages and applies it to human cell-types and perturbation experiments to detect changes in transcription dynamics.

This study integrates GWAS and scRNA-seq to identify genetically relevant cell states in inflammatory diseases, finding scDRS outperforms scGWAS in capturing disease-relevant cellular heterogeneity.

The paper identifies over 800,000 bidirectional transcription regions in human samples and links them to genes through correlated transcription, enriched for disease SNPs and supported by 3D data.