Unknown

Dataset Information

Multi-omic signatures of sarcoidosis and progression in bronchoalveolar lavage cells.


ABSTRACT:

Background

Sarcoidosis is a heterogeneous granulomatous disease with no accurate biomarkers of disease progression. Therefore, we profiled and integrated the DNA methylome, mRNAs, and microRNAs to identify molecular changes associated with sarcoidosis and disease progression that might illuminate underlying mechanisms of disease and potential biomarkers.

Methods

Bronchoalveolar lavage cells from 64 sarcoidosis subjects and 16 healthy controls were used. DNA methylation was profiled on Illumina HumanMethylationEPIC arrays, mRNA by RNA-sequencing, and miRNAs by small RNA-sequencing. Linear models were fit to test for effect of sarcoidosis diagnosis and progression phenotype, adjusting for age, sex, smoking, and principal components of the data. We built a supervised multi-omic

SUBMITTER: Konigsberg IR 

PROVIDER: S-EPMC11290275 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature