NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE84719 Query DataSets for GSE84719
Status Public on Feb 23, 2017
Title Bayesian bisulphite sequencing analysis reveals changes in macrophage DNA methylation in glomerulonephritis
Organism Rattus norvegicus
Experiment type Methylation profiling by high throughput sequencing
Summary DNA methylation is one of the key epigenetic modifications involved in gene regulation. While whole-genome bisulfite sequencing (WGBS) allows the genome-wide quantification of DNA methylation at the single-base pair resolution, the contribution of DNA methylation in disease susceptibility remains to be fully understood. Here, we present a novel Bayesian smoothing approach (called ABBA) to accurately detect differentially methylated regions (DMRs) from WGBS data, and employ ABBA to map DNA methylation changes in disease. ABBA enables the genome-wide modeling of single-base resolution DNA methylation data, automatically adapting to different correlation structures in CpG methylation across the genome without requiring user-defined parameters and accounts for covariates and non-genetic confounding factors. First, we demonstrate the approach by an extensive simulation study and benchmarked ABBA against recently proposed alternative methods. We show the better performance of ABBA across a range of relevant parameters, including sequencing depth, number of replicates and noise level originating from incomplete bisulfite conversion. Second, we generated WGBS data from primary macrophages derived from an experimental rat model of glomerulonephritis and control rats, and employed ABBA to identify DMRs (>1,000 at 5% FDR) genome-wide that were associated with disease susceptibility. Investigation of the DMRs revealed differential DNA methylation localized to the promoter of the Ifitm3 gene and comparisons with existing DMR detection methods shows the enhanced interpretability of the results provided by ABBA. Additional ChIP-seq and RNA-seq analyses in the same experimental system showed differential transcription factor binding at the Ifitm3 promoter by JunD (an established determinant of glomerulonephritis) and consistent differential expression of Ifitm3. Taken together, these data suggest a role for DNA methylation alteration of the Ifitm3 gene in the pathogenesis of glomerulonephritis, and provide a proof of concept of using ABBA for differential methylation analysis of WGBS data.
 
Overall design Whole-genome bisulfite sequencing of primary bone marrow-derived macrophages (BMDMs) from two rat strains (WKY and Lewis) were generated using the HiSeq 2000 platform. Four biological replicates per strain were used
 
Contributor(s) Rackham O, Langley S, Oates T, Vradi E, Harmston N, Srivastava P, Behmoaras J, Dellaportas P, Bottolo L, Petretto E
Citation(s) 28213474
Submission date Jul 22, 2016
Last update date May 15, 2019
Contact name Enrico Petretto
E-mail(s) enrico.petretto@duke-nus.edu.sg
Organization name Duke‚ÄźNUS Graduate Medical School
Department Programme in Cardiovascular & Metabolic Disorders
Street address 8 College Road, Level 8
City Singapore
ZIP/Postal code 169857
Country Singapore
 
Platforms (1)
GPL14844 Illumina HiSeq 2000 (Rattus norvegicus)
Samples (8)
GSM2248349 Lewis rep1
GSM2248350 Lewis rep2
GSM2248351 Lewis rep3
Relations
BioProject PRJNA330923
SRA SRP079366

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE84719_Processed_Data.tar.bz2 199.5 Mb (ftp)(http) TAR
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap