JCI Insight · 2020 · 36 citations · 54 references
Inflammatory Lung DiseaseGeneticsTranscriptomics TechnologyAccessible ChromatinMolecular GeneticsGene CharacterizationDisease Gene IdentificationEpigeneticsDisease-dependent Epigenetic RemodelingVariant InterpretationPulmonary FibrosisGene ExpressionEpigenetic RegulationCell BiologyFunctional GenomicsEpigenetic ProgrammingTranscription RegulationChromatin FunctionIpf LungsChromatinAllelic VariantChromatin StructureChromatin RemodelingNatural SciencesEpigenomicsGene RegulationEnhancer SubjectSystems BiologyMedicine
The G/T transversion rs35705950, located approximately 3 kb upstream of the MUC5B start site, is the cardinal risk factor for idiopathic pulmonary fibrosis (IPF). Here, we investigate the function and chromatin structure of this -3 kb region and provide evidence that it functions as a classically defined enhancer subject to epigenetic programming. We use nascent transcript analysis to show that RNA polymerase II loads within 10 bp of the G/T transversion site, definitively establishing enhancer function for the region. By integrating Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) analysis of fresh and cultured human airway epithelial cells with nuclease sensitivity data, we demonstrate that this region is in accessible chromatin that affects the expression of MUC5B. Through applying paired single-nucleus RNA- and ATAC-seq to frozen tissue from IPF lungs, we extend these findings directly to disease, with results indicating that epigenetic programming of the -3 kb enhancer in IPF occurs in both MUC5B-expressing and nonexpressing lineages. In aggregate, our results indicate that the MUC5B-associated variant rs35705950 resides within an enhancer that is subject to epigenetic remodeling and contributes to pathologic misexpression in IPF.
54
BEDTools: a flexible suite of utilities for comparing genomic features
Aaron R. Quinlan, Ira M. Hall · Bioinformatics · 2010 · 28.9K citations · Full text
Comprehensive Integration of Single-Cell Data
Tim Stuart, Andrew Butler, Paul Hoffman et al. · Cell · 2019 · 16K citations · Full text
FIMO: scanning for occurrences of a given motif
Charles E. Grant, Timothy L. Bailey, William Stafford Noble · Bioinformatics · 2011 · 4.7K citations · Full text