Accession Number:

AD1111614

Title:

Identifying Reversible Molecular Networks in Human Pulmonary Fibrosis Using Single Nuclear Transcriptomics and Systems Biology

Descriptive Note:

[Technical Report, Annual Report]

Corporate Author:

Yale University

Personal Author(s):

Report Date:

2020-05-01

Pagination or Media Count:

77

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.

Descriptors:

Subject Categories:

  • Medicine and Medical Research

Distribution Statement:

[A, Approved For Public Release]