Genomic Methylation Research Articles

Single-base resolution quantitative genome methylation analysis in the model bacterium Helicobacter pylori by enzymatic methyl sequencing (EM-Seq) reveals influence of strain, growth phase, and methyl homeostasis

BackgroundBacterial epigenetics is a rapidly expanding research field. DNA methylation by diverse bacterial methyltransferases (MTases) contributes to genomic integrity and replication, and many recent studies extended MTase function also to global transcript regulation and phenotypic variation. Helicobacter pylori is currently one of those bacterial species which possess the highest number and the most variably expressed set of DNA MTases. Next-generation sequencing technologies can directly detect DNA base methylation. However, they still have limitations in their quantitative and qualitative performance, in particular for cytosine methylation.ResultsAs a complementing approach, we used enzymatic methyl sequencing (EM-Seq), a technology recently established that has not yet been fully evaluated for bacteria. Thereby, we assessed quantitatively, at single-base resolution, whole genome cytosine methylation for all methylated cytosine motifs in two different H. pylori strains and isogenic MTase mutants. EM-Seq reliably detected both m5C and m4C methylation. We demonstrated that three different active cytosine MTases in H. pylori provide considerably different levels of average genome-wide single-base methylation, in contrast to isogenic mutants which completely lost specific motif methylation. We found that strain identity and changed environmental conditions, such as growth phase and interference with methyl donor homeostasis, significantly influenced quantitative global and local genome-wide methylation in H. pylori at specific motifs. We also identified significantly hyper- or hypo-methylated cytosines, partially linked to overlapping MTase target motifs. Notably, we revealed differentially methylated cytosines in genome-wide coding regions under conditions of methionine depletion, which can be linked to transcript regulation.ConclusionsThis study offers new knowledge on H. pylori global and local genome-wide methylation and establishes EM-Seq for quantitative single-site resolution analyses of bacterial cytosine methylation.

Unveiling dissociation mechanisms and binding patterns in the UHRF1-DPPA3 complex via multi-replica molecular dynamics simulations.

Ubiquitin-like with PHD and RING finger domain containing protein 1 (UHRF1) is responsible for preserving the stability of genomic methylation through the recruitment of DNA methyltransferase 1 (DNMT1). However, the interaction between Developmental pluripotency associated 3 (DPPA3) and the pre-PHD-PHD (PPHD) domain of UHRF1 hinders the nuclear localization of UHRF1. This disruption has implications for potential cancer treatment strategies. Drugs that mimic the binding pattern between DPPA3 and PPHD could offer a promising approach to cancer treatment. Our study reveals that DPPA3 undergoes dissociation from the C-terminal through three different modes of helix unfolding. Furthermore, we have identified key residue pairs involved in this dissociation process and potential drug-targeting residues. These findings offer valuable insights into the dissociation mechanism of DPPA3 from PPHD and have the potential to inform the design of novel drugs targeting UHRF1 for cancer therapy. To comprehend the dissociation process and binding patterns of PPHD-DPPA3, we employed enhanced sampling techniques, including steered molecular dynamics (SMD) and conventional molecular dynamics (cMD). Additionally, we utilized self-organizing maps (SOM) and time-resolved force distribution analysis (TRFDA) methodologies. The Gromacs software was used for performing molecular dynamics simulations, and the AMBER FF14SB force field was applied to the protein.

Recent Advances in Studies of Genomic DNA Methylation and Its Involvement in Regulating Drought Stress Response in Crops.

As global arid conditions worsen and groundwater resources diminish, drought stress has emerged as a critical impediment to plant growth and development globally, notably causing declines in crop yields and even the extinction of certain cultivated species. Numerous studies on drought resistance have demonstrated that DNA methylation dynamically interacts with plant responses to drought stress by modulating gene expression and developmental processes. However, the precise mechanisms underlying these interactions remain elusive. This article consolidates the latest research on the role of DNA methylation in plant responses to drought stress across various species, focusing on methods of methylation detection, mechanisms of methylation pattern alteration (including DNA de novo methylation, DNA maintenance methylation, and DNA demethylation), and overall responses to drought conditions. While many studies have observed significant shifts in genome-wide or gene promoter methylation levels in drought-stressed plants, the identification of specific genes and pathways involved remains limited. This review aims to furnish a reference for detailed research into plant responses to drought stress through epigenetic approaches, striving to identify drought resistance genes regulated by DNA methylation, specific signaling pathways, and their molecular mechanisms of action.

Population genomics and epigenomics of Spirodela polyrhiza provide insights into the evolution of facultative asexuality

Many plants are facultatively asexual, balancing short-term benefits with long-term costs of asexuality. During range expansion, natural selection likely influences the genetic controls of asexuality in these organisms. However, evidence of natural selection driving asexuality is limited, and the evolutionary consequences of asexuality on the genomic and epigenomic diversity remain controversial. We analyzed population genomes and epigenomes of Spirodela polyrhiza, (L.) Schleid., a facultatively asexual plant that flowers rarely, revealing remarkably low genomic diversity and DNA methylation levels. Within species, demographic history and the frequency of asexual reproduction jointly determined intra-specific variations of genomic diversity and DNA methylation levels. Genome-wide scans revealed that genes associated with stress adaptations, flowering and embryogenesis were under positive selection. These data are consistent with the hypothesize that natural selection can shape the evolution of asexuality during habitat expansions, which alters genomic and epigenomic diversity levels.

DNA methylation analysis in patients with neurodevelopmental disorders improves variant interpretation and reveals complexity

Analysis of genomic DNA methylation by generating epigenetic signature profiles (“episignatures”) is increasingly being implemented in genetic diagnosis. Here we report our experience using episignature analysis to resolve both uncomplicated and complex cases of neurodevelopmental disorder (NDD). We analysed 97 NDDs divided into: (i) a validation cohort of 59 patients with likely pathogenic/pathogenic variants characterized by a known episignature and (ii) a test cohort of 38 patients harbouring variants of unknown significance (VUS) or unidentified variants. The expected episignature was obtained in most cases with likely pathogenic/pathogenic variants (53/59; 90%), a revealing exception being the overlapping profile of two SMARCB1 pathogenic variants with ARID1A/B:c.6200, confirmed by the overlapping clinical features. In the test cohort, five cases showed the expected episignature, including: (i) novel pathogenic variants in ARID1B and BRWD3; (ii) a deletion in ATRX causing MRXFH1 X-linked mental retardation and (iii) confirmed the clinical diagnosis of Cornelia de Lange (CdL) syndrome in mutation negative CdL patients. Episignatures analysis of the in BAF complex components revealed novel functional protein interactions and common episignatures affecting homologous residues in highly conserved paralogous proteins (SMARCA2 M856V and SMARCA4 M866V). Finally, we also found sex-dependent episignatures in X-linked disorders. Implementation of episignature profiling is still in its early days but with increasing utilization come increasing awareness of the capacity of this methodology to help resolve the complex challenges of genetic diagnoses.

Expression of genes related to gonadal development and construction of gonadal DNA methylation maps of Trachinotus blochii under hypoxia

Chronic hypoxia can affect the growth and metabolism of fish and potentially impact gonadal development through epigenetic regulation. Trachinotus blochii (Golden pompano) is widely cultured near the coast and is sensitive to low oxygen conditions. We found that hypoxia and reoxygenation processes acted on multiple targets on the HPG axis, leading to endocrine disorders. Changes in the expression of key genes in the brain (gnrh), pituitary (fsh and lh), ovaries (cyp19a1a, foxl2, and er), and testes (dmrt1, ar, sox9, and gsdf) were associated with significant decreases in estrogen and testosterone levels. Hypoxia and reoxygenation lead to changes in DNA methylation levels in the gonads. Hypoxia upregulated the expression of dnmt1, dnmt3a, dnmt3b, tet1, and tet2 in females and dnmt3a and dnmt3b in males, while reoxygenation down-regulated the expression of dnmt1, dnmt3a, dnmt3b, tet1, and tet2 in males. Whole genome methylation sequencing showed that the number of differentially methylated regions was highest on chromosome 10 (5192) and lowest on chromosome 24 (275). Differentially methylated genes in females and males, as well as between males and females, were enriched in the oxytocin signaling pathway, fatty acid metabolism pathway, and HIF-1a pathway. In summary, hypoxia and reoxygenation can induce endocrine disorders, affect the expression of HPG axis genes, change the methylation pattern and modification pattern of gonad DNA, and then have potential effects on gonad development.

Mechanisms governing melon fruit skin pigmentation: Insights from transcriptome sequencing and whole-genome bisulfite sequencing analyses

Fruit skin color is a critical agronomic trait determining fruit quality, but the mechanisms governing melon (Cucumis melo L.) fruit skin pigmentation remain inadequately characterized. We performed cytological, transcriptomic, and whole-genome bisulfite sequencing (WGBS) comparative analyses on two near-isogenic lines (NILs) at different developmental stages: the green-skinned (GS) and white-skinned (WS) melon. The enriched functions among the 536 identified differentially expressed genes (DEGs) were related to chloroplast development, pigment metabolism, and photosynthetic pathway. The genes in these pathways were downregulated in the WS line, potentially contributing to the decreased chlorophyll content and abnormal chloroplast development in WS. WGBS analysis revealed that the levels of genomic DNA methylation in WS progressively exceeded those in GS as the fruits developed. The integrated analysis of the transcriptome and methylome identified DMR-associated DEGs (CHLI, CRD1, PORA, and HCAR) involved in chlorophyll metabolism. Notably, PORA exhibited downregulated expression and was hypermethylated in WS fruits during two developmental stages, showing a coordinated expression with the chlorophyll contents in developing WS and GS fruits. Furthermore, we identified a transcription factor gene, MELO3C011576, that was closely associated with the expression of PORA and chlorophyll levels across three developmental stages in both NILs. We speculate that PORA positively regulates chlorophyll biosynthesis in the two NILs, with its expression may be co-controlled by DNA methylation and transcription factors.

Polymorphic variants of the <i>PPP1R21</i> gene associated with the level of sex hormone-binding globulin and the risk of various stages of breast cancer

Aim. To assess the relationship of polymorphic gene variants associated with the level of sex hormone-binding globulin (SHBG) according to genome-wide association studies (GWAS) with the risk of stage I–II and stage III-IV breast cancer. Materials and methods. A comparative genetic analysis was carried out on samples of patients with breast cancer: 254 patients with stages I–II and 91 with stages III–IV, and 1140 females of the control group. The paper considers 4 single nucleotide substitutions associated with the level of circulating SHBG according to GWAS: g.107546375AG PRMT6 (rs17496332), g.27519736TC GCKR (rs780093), g.48419260TC PPP1R21 (rs10454142), g.98364050TA BAIAP2L1 (rs3779195). Results. Differences in the involvement of polymorphic variants of SHBG candidate genes in the development of stages I–II and III–IV breast cancer were revealed. The rs10454142 TC polymorphic variant in the PPP1R21 gene is associated with the risk of stage I–II breast cancer: women with an allelic variant of this locus have a higher risk of early-stage disease (T/T vs. T/C vs. C/C, odds ratio 1.35, 95% confidence interval 1.05-1.75; p=0.021; ppermutat=0.027). Also, an increase in the number of C alleles in the female genotype increased the risk of stage I–II breast cancer by 17–18% per allele. There were no associations of polymorphic variants of SHBG candidate genes with the risk of severe disease (stage III–IV). The single nucleotide substitution rs10454142 TC in the PPP1R21 gene and the single nucleotide polymorphisms strongly linked to it are functionally significant (located in the regions of enhancers and promoters) in the epithelial and myoepithelial cells of the mammary gland and liver, affect the level of genome methylation, and are associated with the level of GTF2A1L gene expression.

Evaluating the utility of ZNF331 promoter methylation as a prognostic and predictive marker in stage III colon cancer: results from CALGB 89803 (Alliance)

ABSTRACT While epigenomic alterations are common in colorectal cancers (CRC), few epigenomic biomarkers that risk-stratify patients have been identified. We thus sought to determine the potential of ZNF331 promoter hypermethylation (mZNF331) as a prognostic and predictive marker in colon cancer. We examined the association of mZNF331 with clinicopathologic features, relapse, survival, and treatment efficacy in patients with stage III colon cancer treated within a randomized adjuvant chemotherapy trial (CALGB/Alliance89803). Residual tumour tissue was available for genomic DNA extraction and methylation analysis for 385 patients. ZNF331 promoter methylation status was determined by bisulphite conversion and fluorescence-based real-time polymerase chain reaction. Kaplan-Meier estimator and Cox proportional hazard models were used to assess the prognostic and predictive role of mZNF331 in this well-annotated dataset, adjusting for clinicopathologic features and standard molecular markers. mZNF331 was observed in 267/385 (69.4%) evaluable cases. Histopathologic features were largely similar between patients with mZNF331 compared to unmethylated ZNF331 (unmZNFF31). There was no significant difference in disease-free or overall survival between patients with mZNF331 versus unmZNF331 colon cancers, even when adjusting for clinicopathologic features and molecular marker status. Similarly, there was no difference in disease-free or overall survival across treatment arms when stratified by ZNF331 methylation status. While ZNF331 promoter hypermethylation is frequently observed in CRC, our current study of a small subset of patients with stage III colon cancer suggests limited applicability as a prognostic marker. Larger studies may provide more insight and clarity into the applicability of mZNF331 as a prognostic and predictive marker.

Age Prediction Using DNA Methylation Heterogeneity Metrics.

Dynamic changes in genomic DNA methylation patterns govern the epigenetic developmental programs and accompany the organism's aging. Epigenetic clock (eAge) algorithms utilize DNA methylation to estimate the age and risk factors for diseases as well as analyze the impact of various interventions. High-throughput bisulfite sequencing methods, such as reduced-representation bisulfite sequencing (RRBS) or whole genome bisulfite sequencing (WGBS), provide an opportunity to identify the genomic regions of disordered or heterogeneous DNA methylation, which might be associated with cell-type heterogeneity, DNA methylation erosion, and allele-specific methylation. We systematically evaluated the applicability of five scores assessing the variability of methylation patterns by evaluating within-sample heterogeneity (WSH) to construct human blood epigenetic clock models using RRBS data. The best performance was demonstrated by the model based on a metric designed to assess DNA methylation erosion with an MAE of 3.686 years. We also trained a prediction model that uses the average methylation level over genomic regions. Although this region-based model was relatively more efficient than the WSH-based model, the latter required the analysis of just a few short genomic regions and, therefore, could be a useful tool to design a reduced epigenetic clock that is analyzed by targeted next-generation sequencing.

Investigation of Genetic Markers for Predicting Oral Cancer Progression and Patient Outcomes.

Genomic methylation being used as a sensitive indicator for identifying oral potentially malignant disorders (OPMDS) and oral cancer could be a viable option. DNA methylation is a potential approach for "cancer therapeutics" and can help researchers truly understand the genomic mechanism that leads to cancer. Investigation of genetic markers for predicting oral cancer progression and patient outcomes. One hundred and twelve patients having oral premalignant lesions and malignant lesions were included in this study. Saliva samples were obtained for analysis of the expression of genetic markers, such as p16, DAP-K, and MGMT. The Illumina Infinium HumanMethylation450 BeadChip (Illumina Inc., USA) would be used to assess genome-wide DNA methylation according to the manufacturer's instructions. Methylation of all the genes, that is, p16, DAP-K, and MGMT, was observed in 12.7% of oral cancer lesions. 41.94% of oral cancer lesions were found to have methylation of two genes. 13.23% cases were found to be associated with methylation of p16 and DAP-K, 12.12% cases were found to have methylation in the p16 and MGMT, and 15.27% cases of oral cancer lesions showed methylation of DAP-K and MGMT. Genetic markers, such as p53, DAP-K, and MGMT, can be used for predicting oral cancer progression and patient outcomes.

HDAC4 Genomic Methylation and Subsequent DNA Binding Following Joint Injury Confers a Sustained Epigenetic Memory of Disrupted Muscle Plasticity

Joint injury is associated with protracted atrophy and weakness that poorly recovers; our objective was to define molecular effectors of lost muscle size, strength, and plasticity following joint injury. We hypothesized that epigenetic imprinting of joint injury in muscle impairs muscle plasticity and contributes to poor functional recovery following surgical repair. We recruited a total of sixteen ACL-injured participants from whom we obtained vastus lateralis muscle biopsies Pre-, 7-days post-, and 4-months post- reconstruction surgery (Sx) and strength measures up to 6-months post-Sx. We performed immunohistochemistry, RNA-seq, reduced representation bisulfite sequencing (RRBS), and HDAC4 chromatin immunoprecipitation sequencing (HDAC4 ChIP-seq) to determine the impact of epigenetics and gene expression on histological profiles, muscle size and muscle strength following injury. Binding and Expression Target Analysis (BETA) of DNA methylation revealed a conserved 985bp regulatory genomic region that was differentially methylated upstream of the HDAC4 promoter. We observed 108 (Pre-Sx), 111 (7d post-Sx), and 110 (4-months post-Sx) differentially methylated promoter sites of which 95 sites were common across all timepoints in the injured limb. Additionally, we observed 1293 differentially methylated intragenic sites within the HDAC4 locus that were also common across all timepoints following injury. Altered HDAC4 methylation was associated with a 2.2 and 4.3 fold change in HDAC4 transcript abundance Pre-Sx and 7d post-Sx, respectively (FDR < 0.05). Notably, HDAC4 binding to critical contractile genes coincided with their downregulation 7d post-Sx (Log2 fold change: ACTA1: -2.02; CKM: -0.97; ATP2A1: -2.34; HOMER2: -1.09; all FDR<0.05). Altered transcript abundance of these genes coincided with lower mean muscle fiber cross-sectional area in the injured limb compared to Healthy (Healthy: 4845 ± 213.4μm2; pre-Sx: 4313 ± 190.6μm2, p<0.05; 7d post-Sx: 3685 ± 228.1μm2, p<0.05; 4-months post-Sx: 3422 ± 142.8μm2, p<0.05) and lower peak torque compared to Healthy (Healthy: 174.8 ± 10.72nm; pre-Sx: 135.2 ± 10.19nm, p<0.05; 4-months post-Sx: 82.64 ± 6.80nm, p<0.05; 6-months post-Sx: 105.9 ± 8.26nm, p<0.05) that was sustained throughout follow-up. Our results suggest that joint injury confers HDAC4 promoter-proximal and intragenic epigenetic imprinting by DNA methylation that increases HDAC4 transcript abundance and HDAC4-DNA binding to represses expression of genes regulating muscle contractile function. This HDAC4 gene regulatory program likely contributes to prolonged deficits in muscle size and strength following joint injury. This work was supported by NIH-NIAMS R01 AR072061. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Identification of Susceptibility Genes Underlying Bovine Respiratory Disease in Xinjiang Brown Cattle Based on DNA Methylation.

DNA methylation is a form of epigenetic regulation, having pivotal parts in controlling cellular expansion and expression levels within genes. Although blood DNA methylation has been studied in humans and other species, its prominence in cattle is largely unknown. This study aimed to methodically probe the genomic methylation map of Xinjiang brown (XJB) cattle suffering from bovine respiratory disease (BRD), consequently widening cattle blood methylome ranges. Genome-wide DNA methylation profiling of the XJB blood was investigated through whole-genome bisulfite sequencing (WGBS). Many differentially methylated regions (DMRs) obtained by comparing the cases and controls groups were found within the CG, CHG, and CHH (where H is A, T, or C) sequences (16,765, 7502, and 2656, respectively), encompassing 4334 differentially methylated genes (DMGs). Furthermore, GO/KEGG analyses showed that some DMGs were involved within immune response pathways. Combining WGBS-Seq data and existing RNA-Seq data, we identified 71 significantly differentially methylated (DMGs) and expressed (DEGs) genes (p < 0.05). Next, complementary analyses identified nine DMGs (LTA, STAT3, IKBKG, IRAK1, NOD2, TLR2, TNFRSF1A, and IKBKB) that might be involved in the immune response of XJB cattle infected with respiratory diseases. Although further investigations are needed to confirm their exact implication in the involved immune processes, these genes could potentially be used for a marker-assisted selection of animals resistant to BRD. This study also provides new knowledge regarding epigenetic control for the bovine respiratory immune process.

Structure-guided functional suppression of AML-associated DNMT3A hotspot mutations

DNA methyltransferases DNMT3A- and DNMT3B-mediated DNA methylation critically regulate epigenomic and transcriptomic patterning during development. The hotspot DNMT3A mutations at the site of Arg822 (R882) promote polymerization, leading to aberrant DNA methylation that may contribute to the pathogenesis of acute myeloid leukemia (AML). However, the molecular basis underlying the mutation-induced functional misregulation of DNMT3A remains unclear. Here, we report the crystal structures of the DNMT3A methyltransferase domain, revealing a molecular basis for its oligomerization behavior distinct to DNMT3B, and the enhanced intermolecular contacts caused by the R882H or R882C mutation. Our biochemical, cellular, and genomic DNA methylation analyses demonstrate that introducing the DNMT3B-converting mutations inhibits the R882H-/R882C-triggered DNMT3A polymerization and enhances substrate access, thereby eliminating the dominant-negative effect of the DNMT3A R882 mutations in cells. Together, this study provides mechanistic insights into DNMT3A R882 mutations-triggered aberrant oligomerization and DNA hypomethylation in AML, with important implications in cancer therapy.

Yak genome database: a multi-omics analysis platform

BackgroundThe yak (Bos grunniens) is a large ruminant species that lives in high-altitude regions and exhibits excellent adaptation to the plateau environments. To further understand the genetic characteristics and adaptive mechanisms of yak, we have developed a multi-omics database of yak including genome, transcriptome, proteome, and DNA methylation data.DescriptionThe Yak Genome Database (http://yakgenomics.com/) integrates the research results of genome, transcriptome, proteome, and DNA methylation, and provides an integrated platform for researchers to share and exchange omics data. The database contains 26,518 genes, 62 transcriptomes, 144,309 proteome spectra, and 22,478 methylation sites of yak. The genome module provides access to yak genome sequences, gene annotations and variant information. The transcriptome module offers transcriptome data from various tissues of yak and cattle strains at different developmental stages. The proteome module presents protein profiles from diverse yak organs. Additionally, the DNA methylation module shows the DNA methylation information at each base of the whole genome. Functions of data downloading and browsing, functional gene exploration, and experimental practice were available for the database.ConclusionThis comprehensive database provides a valuable resource for further investigations on development, molecular mechanisms underlying high-altitude adaptation, and molecular breeding of yak.

Abstract LB206: The progression of chromosomal instability and aberrant DNA methylation during colorectal cancer development

Abstract Chromosomal instability (CIN) and aberrant DNA methylation play a pivotal role in the pathogenesis of colorectal cancer (CRC). Mapping both of these cancer hallmarks during the progression of the disease can help identify potential targets for pharmacological intervention and improve the management of CRC metastasis. In a set of 27 patients diagnosed with either high-grade colorectal adenoma or advanced metastatic CRC disease, high-throughput DNA methylation and/or DNA somatic copy number alterations (SCNAs) analyses were performed. Global genome methylation profiles and the most frequent hot-spot regions harboring SCNAs, identified in the patients' DNA, were verified in a validation set of eight CRC patients through whole-exome sequencing, genome-wide DNA methylation measurement, and gene expression profiling.The study is currently ongoing; however, a panel of 29 cancer-relevant genes, amplified in more than 50% of investigated adenoma tissues (such as PTK6, SRC, MALAT1, BRCA2), was identified. Chromosomal loci amplified in primary tumors were highly concordant with those in liver metastases. An increase in CIN was detected in all metastases, representing mostly gains of Chr7q, 8q, 13q, 20q, and the small arm of ChrX, while the lost chromosomal loci included Chr8p, 17p, and the entire Chr18. A gain unique to metastases was located on Chr6 (p25.1-p22.3), encoding the oncogene DEK. All metastases exhibited an increase in hypomethylated and a decrease in hypermethylated CpGs. The gene enrichment analysis of the differently methylated gene promoters showed the olfactory receptors pathway as the most frequently represented (FDR-adjusted P value=1.06E-8), with all the identified promoters (n=120) less methylated in metastases. Taken together, several genomic hot-spot regions with SCNAs, possibly important during the development of adenoma and also during the metastatic process, were identified. Furthermore, a decrease in methylation within promoters of odorant receptors was the most prominent epigenetic alteration occurring in our set of metastases. The study was funded by the Ministry of Health of the Czech Republic (NU22J-03-00028) and GACR 21-27902S. Citation Format: Katerina Saskova, Mattias Landfors, Josef Horak, Katerina Honkova, Kristyna Tomasova, Jana Drabova, Fernanda Schäfer Hackenhaar, Jitka Pavlikova, Ludmila Vodickova, Torbjörn Nilsson, Sanja Farkas, Veronika Vymetalkova, Pavel Vodicka, Sofie Degerman, Michal Kroupa. The progression of chromosomal instability and aberrant DNA methylation during colorectal cancer development [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB206.

Abstract LB249: Multi-omics cancer risk assessment of Barrett’s esophagus with DNA methylation sequencing from endoscopic brush samples

Abstract Introduction: Barrett’s esophagus (BE) confers increased cancer risk. Endoscopic surveillance is recommended to distinguish non-dysplastic BE (NDBE), low grade dysplasia (LGD), high grade dysplasia (HGD), or adenocarcinoma (EAC) for endoscopic intervention. However, this paradigm is limited by sampling error, leading to missed/interval EAC. Herein, we aimed to classify these samples more accurately by performing whole genome methylation sequencing (WGMS) and utilizing multiple genomic features on endoscopic brush samples. Materials and methods: Endoscopic brush samples from patients with NDBE (n=18), HGD (18), EAC (18), and normal controls (18) were collected and underwent WGMS (discovery dataset). Sequence reads were processed through internal pipeline to extract CpG methylation and read level methylation ratio (alpha value). Copy number aberration (CNA) detection was performed using both CNVkit and ichorCNA. Differential methylated regions (DMRs) were identified through comparing EAC/HGD with NDBE and normal samples. Targeted methylation sequencing for selected DMRs and shallow WGMS were performed on EAC (41), HGD (26), LGD (23), NDBE (42), and normal controls (37) as validation. Ratio of the reads with alpha value&amp;gt;0.6 for each DMR was used for further analysis. Detected CNA segments were summarized into chromosome arm loss or gain (aneuploidy score or AS representing the number of chromosome arms gained or lost in a sample) and trimmed median absolute deviation (tMAD). Classification models were developed using the discovery set and the best performing one was applied to the validation dataset. Results: Genome-wide DNA methylation largely segregated different groups of samples as diagnosed; however, some unexpected group crossings were observed. Top 200 DMRs were identified between EAC/HGD and NDBE and normal samples. CNA changes were widespread in EAC, very common in HGD but rare in NDBE (17/18 EACs,14/18 HGDs, 5/18 NDBEs with AS&amp;gt;0). With tMAD &amp;gt; 0.015, 16/18 EACs, 8/18 HGDs but none of 18 NDBEs passed the threshold. EAC or HGD samples without detectable CNAs had very low “tumor” fraction as determined by methylation-based cell type deconvolution or ichorCNA. Similar results were found in the validation dataset. A multi-omics (AS, tMAD, estimated tumor fraction, and DMR methylation) model could predict EAC, HGD, or NDBE with 0.81 accuracy through cross validation (10X) and 0.73 in the independent dataset. This increased to 0.98 and 0.90 in separating high risk EAC/HGD from NDBE, respectively. Conclusion: Multi-omics data obtained from single WGMS allow for a comprehensive analysis of BE samples with varying dysplasia levels. Using classification modeling, these characteristics can be effectively used to accurately identify and distinguish between EAC and HGD from NDBE, suggesting their utility as adjuncts to endoscopic surveillance biopsies. Citation Format: Zhifu Sun, Caroline L. Matchett, Seth W. Slettedahl, William R. Taylor, Panwen Wang, Calise Berger, Caryn E. Anderson, Melissa A. Passe, Ramona Lansing, Collin E. Chalmers, Patrick H. Foote, Jeanette E. Eckel Passow, Doug W. Mahoney, John B. Kisiel, Prasad G. Iyer. Multi-omics cancer risk assessment of Barrett’s esophagus with DNA methylation sequencing from endoscopic brush samples [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB249.

Effects of Selenium on DNA Methylation and Genomic Instability Induced by Drought Stress in Wheat (Triticum aestivum L.)

The main purpose of the study was to clarify the effect of selenium (Se) on DNA damage and DNA methylation in wheat (Triticum aestivum L.) plants exposed to polyethylene glycol (PEG)-induced drought stress under in vitro tissue culture. Random amplified polymorphic DNA (RAPD) and coupled restriction enzyme digestion-random amplification (CRED-RA) were utilized to explain the DNA damage grade and variations in DNA methylation patterns, respectively. The outcomes indicate that drought stress gives rise to a rise in RAPD profile variations (as DNA damage) and a decrease in genomic template stability (GTS) rate and DNA methylation changes. According to the RAPD data, the greatest GTS value was computed at 56.9% (5% PEG 6000), and the lowest GTS value was 41.2% (15% PEG 6000), demonstrating the adverse effects of PEG 6000. However, DNA damage can be reduced by treatment with sodium selenate (2, 4, and 6 µM of Na2SeO4) together with PEG (5%, 10%, and 15% PEG 6000)-induced water deficits. Moreover, according to CRED-RA analysis, PEG-induced DNA methylation rates were changed after treating different doses of Se. These data demonstrate that Se dose-dependently modulates both DNA damage and methylation alterations induced by drought in wheat.

More or less: The selection of indel in the 3'UTR of ZMET2 modules genome methylation and husk layer number in maize.

More or less: The selection of indel in the 3'UTR of ZMET2 modules genome methylation and husk layer number in maize.

Abstract 2291: Bravo automation of Agilent Avida targeted enrichment for high-throughput detection of genomic alteration and DNA methylation

Abstract Background: Current genomic and epigenomic profiling of cancer tissue DNA or cfDNA (cell-free DNA) in liquid biopsy relies upon separate, time- and sample-consuming technologies for somatic variant detection or methylation analysis. Here we describe workflow and performance of the Agilent Bravo automated liquid handling platform with the Agilent Avida targeted enrichment solution for next generation sequencing of somatic variants and methylation profiling. This solution can effectively analyze low-input tumor DNA or cfDNA samples. The Avida Duo workflow enables highly sensitive detection of single nucleotide variant (SNV), insertions and deletions (INDEL), copy number variation (CNV) and DNA methylation profiles from a single sample, without any sample splitting. Methods and Results: Panels, reagents, and automated workflows for Avida DNA, Avida Methyl, and Avida Duo Methyl (combined DNA &amp; methylation) kits were developed to accommodate up to 96 samples on the Bravo NGS workstation. The automated solution supports independent single-day workflows for somatic variants or methylation sample preparation. The Avida Duo analysis combines both workflows without sample splitting, streamlining the process and reducing sample consumption. Leveraging a focused cancer hotspot panel, we demonstrate excellent reproducibility and low allele frequency (SNV at sub 1%) variant detection in cfDNA samples and reference standards with as little as 10ng DNA input. We exhibit similar performance with a larger ~300 kb target region tumor profiling panel. Finally, we demonstrate DNA methylation detection in the standalone or combined (“Duo”) workflows across differentially methylated regions (DMRs) with a panel of ~3400 targets. Conclusions: Automation of the Avida targeted enrichment solution with the Bravo NGS workstation enables a sensitive, high-throughput, end-to-end analysis for detection of genomic alterations and DNA methylation changes from a single low-input cfDNA or tumor DNA sample. Citation Format: Ashraf Wahba, Tony Ho, Sarah Johns, Aswati Aravind, Heng Wang, Neelima V. Mehendale, Gilbert P. Amparo, Khine Win, Manuel Gomez, Grace Zhao, Douglas N. Roberts. Bravo automation of Agilent Avida targeted enrichment for high-throughput detection of genomic alteration and DNA methylation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2291.