43P Integrated analysis of genome-wide DNA methylation and gene expression profiles identifies potential novel biomarkers of rectal cancer

Abstract Ulcerative colitis (UC) is a prevalent relapsing-remitting inflammatory bowel disease whose pathogenetic mechanisms remain elusive. In the present study, colonic biopsies samples from three UC patients treated in the Traditional Chinese Medicine Hospital and three healthy controls were obtained. The genome-wide mRNA and lncRNA expression of the samples were profiled through Agilent gene expression microarray. Moreover, the genome-wide DNA methylation dataset of normal and UC colon tissues was also downloaded from GEO for a collaborative analysis. Differential expression of lncRNA (DELs) and mRNAs (DEMs) in UC samples compared with healthy samples were identified by using limma Bioconductor package. Differentially methylated promoters (DMPs) in UC samples compared with controls were obtained through comparing the average methylation level of CpGs located at promoters by using t-test. Functional enrichment analysis was performed by the DAVID. STRING database was applied to the construction of gene functional interaction network. As a result, 2090 DEMs and 1242 DELs were screened out in UC samples that were closely associated with processes related to complement and coagulation cascades, osteoclast differentiation vaccinia, and hemorrhagic diseases. A total of 90 DEMs and 72 DELs were retained for the construction of functional network for the promoters of their corresponding genes were identified as DMPs. S100A9, HECW2, SOD3 and HIX0114733 showed high interaction degrees in the functional network, and expression of S100A9 was confirmed to be significantly elevated in colon tissues of UC patients compared with that of controls by qRT-PCR that was consistent with gene microarray analysis. These indicate that S100A9 could potentially be used as predictive biomarkers in UC.

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Integrative analysis of genome‐wide DNA methylation and gene expression profiles reveals important epigenetic genes related to milk production traits in dairy cattle

Journal of Animal Breeding and Genetics ◽

10.1111/jbg.12530 ◽

2021 ◽

Author(s):

Wanting Dong ◽

Jie Yang ◽

Yu Zhang ◽

Shuli Liu ◽

Chao Ning ◽

...

Keyword(s):

Gene Expression ◽

Dna Methylation ◽

Dairy Cattle ◽

Milk Production ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Integrative Analysis ◽

Production Traits ◽

Milk Production Traits ◽

Genome Wide

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Monozygotic Twins Discordant for Immunoglobulin A Nephropathy Display Differences in DNA Methylation and Gene Expression

Kidney Diseases ◽

10.1159/000512169 ◽

2020 ◽

pp. 1-10

Author(s):

Min Wei ◽

Sijun Meng ◽

Sufang Shi ◽

Lijun Liu ◽

Xujie Zhou ◽

...

Keyword(s):

Gene Expression ◽

Dna Methylation ◽

Expression Profiles ◽

Immunoglobulin A ◽

Gene Expression Profiles ◽

Enrichment Analysis ◽

Functional Enrichment Analysis ◽

Functional Enrichment ◽

Genome Wide ◽

Mz Twins

Introduction: Immunoglobulin A nephropathy (IgAN) is the most common primary glomerulonephritis. It involves both genetic and environmental factors, among which DNA methylation, the most studied epigenetic modification, was shown to play a role. Here, we assessed genome-wide DNA methylation and gene expression profiles in 2 pairs of IgAN-discordant monozygotic (MZ) twins, in order to characterize methylation changes and their potential influences on gene expression in IgAN. Methods: Genome-wide DNA methylation and gene expression profiles were evaluated in peripheral blood mononuclear cells obtained from 2 IgAN-discordant MZ twins. Differentially methylated regions (DMRs) and differentially expressed genes (DEGs) were detected, and an integrated analysis was performed. Finally, functional enrichment analysis was done for DMR-associated genes and DEGs. Results: Totally 521 DMRs were detected for 2 IgAN-discordant MZ twins. Among them, 9 DMRs were found to be mapped to genes that differentially expressed in 2 MZ twins, indicating the potential regulatory mechanisms of expression for these 9 genes (MNDA, DYSF, IL1R2, TLR6, TREML2, TREM1, IL32, S1PR5, and ADGRE3) in IgAN. Biological process analysis of them showed that they were mostly involved in the immune system process. Functional enrichment analysis of DEGs and DMR-associated genes both identified multiple pathways relevant to inflammatory and immune responses. And DMR-associated genes were significantly enriched in terms related to T-cell function. Conclusions: Our findings indicate that changes in DNA methylation patterns were involved in the pathogenesis of IgAN. Nine target genes detected in our study may provide new ideas for the exploration of molecular mechanisms of IgAN.

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Abstract 40: Transcriptome and DNA Methylation Changes in Patients with Subarachnoid Hemorrhage Undergoing Remote Ischemic Preconditioning

Stroke ◽

10.1161/str.46.suppl_1.40 ◽

2015 ◽

Vol 46 (suppl_1) ◽

Author(s):

Elina Nikkola ◽

Arthur Ko ◽

Mark J Connolly ◽

Yinn Cher Ooi ◽

Päivi Pajukanta ◽

...

Keyword(s):

Gene Expression ◽

Dna Methylation ◽

Expression Profiles ◽

Methylation Status ◽

Gene Expression Profiles ◽

Reduced Representation ◽

Ischemic Conditioning ◽

Genome Wide ◽

Reduced Representation Bisulfite Sequencing ◽

Before And After

Background: Remote ischemic conditioning (RIC) is a phenomenon by which brief periods of sublethal ischemia in one tissue confers protection from ischemia to distant tissues. We hypothesize that RIC triggers a cascade of integrated gene expression and methylation changes, leading to neuroprotection in subarachnoidal hemorrhage (SAH) patients. Our goal was to identify and compare changes in DNA methylation and gene expression profiles before and after RIC. Methods: Patients enrolled in a clinical trial of RIC after SAH, receiving RIC by limb cuff transient ischemia sessions. Fourteen SAH patients (64% female, mean age 51) underwent 3-4 RIC sessions and gave a blood sample before and after RIC, seven days apart. The transcriptome analysis of whole blood was performed using paired-end, 100-bp RNA-sequencing. We employed STAR and HTSeq to align and count reads; EdgeR to normalize the counts and detect differential expression (DE); and David to search for functional categories of the DE genes. Genome-wide DNA methylation profiles were assessed using reduced representation bisulfite sequencing (RRBS); Bismark with Bowtie to align the RRBS data, and the differential methylation analysis package (DMAP) to call the methylation status of CpG sites. Bedtools was used to overlap the DE genes with differentially methylated regions. Results: Of the 12,411 genes passing QC, 168 genes were differentially expressed after RIC (FDR<0.05). These genes were enriched for pathways involving mitosis and nuclear division (P50% after RIC in at least one individual. Of the 8,069 sites, 723 were differentially methylated (Bonferroni P<0.05). Our overlap analysis showed that 88 of the significantly altered methylation sites resided in 39 DE genes, including CEACAM8 and CRISP3, both implicated previously for stroke. Conclusions: Our data suggest that RIC alters expression of a specific set of genes involved in stroke via changes in regional DNA methylation. Further studies are warranted to replicate these pilot results.

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