Identifying Reversible Molecular Networks in Human Pulmonary Fibrosis Using Single Nuclear Transcriptomics and Systems Biology
Abstract
The goals of this study are to identify aberrant cell compositions and aberrant gene expression profiles in cellular subpopulations in differentially affected regions within the IPF lung, to establish cell-type-specific regulatory networks in the microenvironment of IPF and cell-type-specific pathways of disease progression and to discover cell-type-specific biomarkers of disease progression as well as targets for novel therapeutics. To this end, we identified the optimal nuclei isolation and purification method for single nuclei RNA sequencing and are in the progress of generating the final dataset. We developed an automated computational pipeline for data preprocessing of single nuclei RNA sequencing data. We applied this pipeline to a single transcriptome dataset of samples from cystic fibrosis and controls and published this as the manuscript Single Cell Transcriptional Archetypes of Airway Inflammation in Cystic Fibrosis.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 2020
- Accession Number
- AD1111614
Entities
People
- Jonas Schupp
Organizations
- Yale University