Unraveling Molecular Mechanisms Underlying Chronic Obstructive Pulmonary Disease Heterogeneity Using Combinatorial Barcoding and Single-Nuclear RNA Sequencing
Abstract
Chronic Obstructive Pulmonary Disease (COPD) is the 4th leading cause of death due to chronic illness in the United States, and is particularly common amongst current and former United States military personnel. COPD is a heterogeneous disorder characterized by diverse clinical and pathologic manifestations that vary amongst susceptible individuals. However, the profound complexity of COPD heterogeneity has made it challenging to link clinical features with cellular mechanisms and develop targeted therapies. Our goal is to generate comprehensive single-cell transcriptional profiles of lung tissue samples from the full spectrum of disease. Then, we will use systems-based computational approaches to identify cell-specific molecular phenotypes in COPD (Aim 1), novel endotypes and their associated biomarkers (Aim 2), and cell-targeted therapies (Aim 3). Our hypothesis for Aim 1 was that Cell-specific transcriptional phenotypes underlie progression of COPD-related disease traits. We have performed single nuclear RNAseq of COPD and disease-free lung tissue samples and are analyzing the results currently.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2023
- Accession Number
- AD1208014
Entities
People
- Maor Sauler
Organizations
- Yale University