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MethylPurify: tumor purity deconvolution and differential methylation detection from tumor DNA methylomes

ABSTRACT: We propose a statistical algorithm MethylPurify that uses regions with bisulfite reads showing discordant methylation levels to infer tumor purity from tumor samples alone. With purity estimate, MethylPurify can identify differentially methylated regions (DMRs) from individual tumor samples without genomic variation information or prior knowledge from other datasets. In simulations with mixed bisulfite reads from cancer and normal cell lines, MethylPurify correctly inferred tumor purity and identified over 96% of the DMRs. On real patient data where tumor to normal comparison were used as golden standard, MethylPurify called DMR from tumor samples alone at over 57% sensitivity and 91% specificity. Lung adenocarcinoma cancer and normal tissues from 5 patients were captured by Agilent SureSelect Methyl-Seq system, followed by bisulfite sequencing.

ORGANISM(S): Homo sapiens

SUBMITTER: Shirley Liu

PROVIDER: E-GEOD-56712 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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MethylPurify: tumor purity deconvolution and differential methylation detection from tumor DNA methylomes

Project description:We propose a statistical algorithm MethylPurify that uses regions with bisulfite reads showing discordant methylation levels to infer tumor purity from tumor samples alone. With purity estimate, MethylPurify can identify differentially methylated regions (DMRs) from individual tumor samples without genomic variation information or prior knowledge from other datasets. In simulations with mixed bisulfite reads from cancer and normal cell lines, MethylPurify correctly inferred tumor purity and identified over 96% of the DMRs. On real patient data where tumor to normal comparison were used as golden standard, MethylPurify called DMR from tumor samples alone at over 57% sensitivity and 91% specificity.

2014-07-08 | GSE56712 | GEO

Validation of differentially methylated DNA regions in colorectal precancerous lesions.

Project description:In this study, we validated 992 previously identified differentially methylated regions (DMRs) in colorectal precancerous lesions compared to adjacent normal mucosa in a new series of 59 prospectively collected lesions and matched normal tissue using targeted bisulfite sequencing. Strong differences in methylation level were observed across the full set of validated DMRs. Based on the mean methylation levels of a panel of 30 selected DMRs tumors could be accurately classified. We thus provide a large list of validated DNA markers to be exploited in the development of noninvasive, colorectal tumor screening assays.

2023-03-30 | E-MTAB-12612 | biostudies-arrayexpress

In Utero Cigarette Smoke Affects Allergic Airway Disease But Does Not Alter the Lung Methylome

Project description:Introduction: Prenatal and postnatal cigarette smoke exposure enhances the risk of developing asthma. Despite this as well as other smoking related risks, 11% of women still smoke during pregnancy. We hypothesized that cigarette smoke exposure during prenatal development generates long lasting differential methylation altering transcriptional activity that correlates with disease. Methods: In a house dust mite (HDM) model of allergic airway disease, we measured airway hyperresponsiveness (AHR) and airway inflammation between mice exposed prenatally to cigarette smoke (CS) or filtered air (FA). DNA methylation and gene expression were then measured in lung tissue. Results: We demonstrate that HDM-treated CS mice develop a more severe allergic airway disease compared to HDM-treated FA mice including increased AHR and airway inflammation. While DNA methylation changes between the two HDM-treated groups failed to reach genome-wide significance, 99 DMRs had an uncorrected p-value < 0.001. 6 of these 99 DMRs were selected for validation, based on the immune function of adjacent genes, and only 2 of the 6 DMRs confirmed the bisulfite sequencing data. Additionally, genes near these 6 DMRs (Lif, Il27ra, Tle4, Ptk7, Nfatc2, and Runx3) are differentially expressed between HDM-treated CS mice and HDM-treated FA mice. Conclusions: Our findings confirm that prenatal exposure to cigarette smoke is sufficient to modify allergic airway disease, however, it is unlikely that specific methylation changes account for the exposure-response relationship. These findings highlight the important role in utero cigarette smoke exposure plays in the development of allergic airway disease. Lung DNA methylation profiles of mice exposed in utero to cigarette smoke (CS) then treated with house dust mite (HDM, n = 8) or saline (n = 6), or exposed in utero to filtered air (FA) then treated with HDM (n = 9) or saline (n = 6)

2015-11-19 | E-GEOD-71718 | biostudies-arrayexpress

Identification of novel imprinted differentially methylated regions by global analysis of human parthenogenetic induced pluripotent stem cells

Project description:Parental imprinting is an epigenetic phenomenon by which genes are expressed in a monoallelic fashion, according to their parent-of-origin. DNA methylation is considered the hallmark mechanism regulating parental imprinting. To identify imprinted differentially methylated regions (DMRs), we compared the DNA methylation status between multiple normal and parthenogenetic human pluripotent stem cells (PSCs) by performing reduced representation bisulfite sequencing. Our analysis identified over twenty previously unknown imprinted DMRs in addition to the known DMRs. These include DMRs in loci associated with human disorders, and a class of intergenic DMRs that do not seem to be related to gene expression. Furthermore, the study showed some DMRs to be unstable, liable to differentiation or reprogramming. A comprehensive comparison between mouse and human DMRs identified almost half of the imprinted DMRs to be species-specific. Taken together our data map novel DMRs in the human genome, their evolutionary conservation, and relation to gene expression. RRBS profiles were generated from 6 parthenogenetic iPSC lines (hiPS A11, hiPS A20, hIPS A26, hiPS B34, hiPS B36, hiPS B41) and fibroblasts from the 2 parents whose ovarian teratomas were used to derive the iPSC lines, for a total of 8 samples.

2013-06-12 | E-GEOD-47088 | biostudies-arrayexpress

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2015-05-28 | E-GEOD-63393 | biostudies-arrayexpress

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2015-06-18 | E-GEOD-62195 | biostudies-arrayexpress

Targeted bisulfite sequencing by solution hybrid selection and massively parallel sequencing

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Genome-wide analysis of DNA methylation in the sexual stage of the insect pathogenic fungus Cordyceps militaris

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2016-05-13 | E-GEOD-66919 | biostudies-arrayexpress

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