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Epigenomics ag roadmap epigenomics data portal
Roadmap Epigenomics Data Portal, supplied by Epigenomics ag, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Epigenomics ag roadmap epigenomics dhs (red) data
eForge analysis (Consolidated <t>Roadmap</t> Epigenomics) of hypermethylated CpGs showed significant enrichment in different fetal tissues ( a ) and hypomethylated CpGs showing non-significant enrichment in different fetal tissues ( b ). The x -axis represents the type of tissues, while y -axis represents the p value (−log10) showing significance.
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eForge analysis (Consolidated <t>Roadmap</t> Epigenomics) of hypermethylated CpGs showed significant enrichment in different fetal tissues ( a ) and hypomethylated CpGs showing non-significant enrichment in different fetal tissues ( b ). The x -axis represents the type of tissues, while y -axis represents the p value (−log10) showing significance.
Roadmap Epigenomics Program Data, supplied by Epigenomics ag, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Epigenomics ag encode epigenomics roadmap reference data
DNA methylation changes across the genome in patients with TET2 mt CH and DNMT3A mt CH. (A) Overview of patient cohorts from whom PBMCs were collected and analyzed in this study using DNA methylation (Illumina Methylation EPIC array), single-cell proteogenomics (Tapestri assay), scRNA-seq (10x Genomics), multiome (10x Genomics), and GoTChA modalities. Mutations and VAFs are shown above the figurines. Patient ages and modalities used are shown below the figurines. Sample identifier is shown inside the figurines. (B) Box plot showing the comparison of global DNA methylation between DNMT3A mt and TET2 mt CH. There was no significant difference by Wilcoxon signed-rank test ( P = .057). (C) Density plot demonstrating DNA methylation differences between TET2 mt CH and DNMT3A mt CH, primarily affecting highly methylated CpGs (β > 0.75; Kolmogorov-Smirnov test, P < 2.2 × 10 −16 ). (D) Circos plot showing the number, genomic location, and density of differentially methylated regions between TET2 mt CH and DNMT3A mt CH. There was an increased number of hypomethylated sites in DNMT3A mt CH compared with TET2 mt CH. (E) Functional annotation of the differentially methylated regions (with Δβ > 10% and P < .010) using the <t>ENCODE</t> Epigenomics <t>Roadmap</t> PBMC reference data. Hypermethylation of Enh and promoters (TssA, TssAFlnk) was more commonly observed in DNMT3A mt CH (compared with TET2 mt CH), whereas the hypomethylation observed in DNMT3A CH was predominately found at actively transcribed states (Tx, TxWk). scATAC, single-cell ATAC; TssA, active transcription start site; TssAFlnk, Flanking bivalent transcription start sites.
Encode Epigenomics Roadmap Reference Data, supplied by Epigenomics ag, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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eForge analysis (Consolidated Roadmap Epigenomics) of hypermethylated CpGs showed significant enrichment in different fetal tissues ( a ) and hypomethylated CpGs showing non-significant enrichment in different fetal tissues ( b ). The x -axis represents the type of tissues, while y -axis represents the p value (−log10) showing significance.

Journal: Lifestyle Genomics

Article Title: Exploring Differentially Methylated Genes among Preterm Birth and Full-Term Birth

doi: 10.1159/000543372

Figure Lengend Snippet: eForge analysis (Consolidated Roadmap Epigenomics) of hypermethylated CpGs showed significant enrichment in different fetal tissues ( a ) and hypomethylated CpGs showing non-significant enrichment in different fetal tissues ( b ). The x -axis represents the type of tissues, while y -axis represents the p value (−log10) showing significance.

Article Snippet: Similarly, analysis using Roadmap Epigenomics DHS (RED) data revealed significant enrichment ( FDR p < 0.05 ) of hypermethylated CpGs in fetal tissues such as fetal adrenal, brain, heart, and small and large intestine, while hypomethylated CpGs showed no significant enrichment (online suppl.

Techniques:

DNA methylation changes across the genome in patients with TET2 mt CH and DNMT3A mt CH. (A) Overview of patient cohorts from whom PBMCs were collected and analyzed in this study using DNA methylation (Illumina Methylation EPIC array), single-cell proteogenomics (Tapestri assay), scRNA-seq (10x Genomics), multiome (10x Genomics), and GoTChA modalities. Mutations and VAFs are shown above the figurines. Patient ages and modalities used are shown below the figurines. Sample identifier is shown inside the figurines. (B) Box plot showing the comparison of global DNA methylation between DNMT3A mt and TET2 mt CH. There was no significant difference by Wilcoxon signed-rank test ( P = .057). (C) Density plot demonstrating DNA methylation differences between TET2 mt CH and DNMT3A mt CH, primarily affecting highly methylated CpGs (β > 0.75; Kolmogorov-Smirnov test, P < 2.2 × 10 −16 ). (D) Circos plot showing the number, genomic location, and density of differentially methylated regions between TET2 mt CH and DNMT3A mt CH. There was an increased number of hypomethylated sites in DNMT3A mt CH compared with TET2 mt CH. (E) Functional annotation of the differentially methylated regions (with Δβ > 10% and P < .010) using the ENCODE Epigenomics Roadmap PBMC reference data. Hypermethylation of Enh and promoters (TssA, TssAFlnk) was more commonly observed in DNMT3A mt CH (compared with TET2 mt CH), whereas the hypomethylation observed in DNMT3A CH was predominately found at actively transcribed states (Tx, TxWk). scATAC, single-cell ATAC; TssA, active transcription start site; TssAFlnk, Flanking bivalent transcription start sites.

Journal: Blood Advances

Article Title: Single-cell multiomics reveal divergent effects of DNMT3A- and TET2- mutant clonal hematopoiesis in inflammatory response

doi: 10.1182/bloodadvances.2024014467

Figure Lengend Snippet: DNA methylation changes across the genome in patients with TET2 mt CH and DNMT3A mt CH. (A) Overview of patient cohorts from whom PBMCs were collected and analyzed in this study using DNA methylation (Illumina Methylation EPIC array), single-cell proteogenomics (Tapestri assay), scRNA-seq (10x Genomics), multiome (10x Genomics), and GoTChA modalities. Mutations and VAFs are shown above the figurines. Patient ages and modalities used are shown below the figurines. Sample identifier is shown inside the figurines. (B) Box plot showing the comparison of global DNA methylation between DNMT3A mt and TET2 mt CH. There was no significant difference by Wilcoxon signed-rank test ( P = .057). (C) Density plot demonstrating DNA methylation differences between TET2 mt CH and DNMT3A mt CH, primarily affecting highly methylated CpGs (β > 0.75; Kolmogorov-Smirnov test, P < 2.2 × 10 −16 ). (D) Circos plot showing the number, genomic location, and density of differentially methylated regions between TET2 mt CH and DNMT3A mt CH. There was an increased number of hypomethylated sites in DNMT3A mt CH compared with TET2 mt CH. (E) Functional annotation of the differentially methylated regions (with Δβ > 10% and P < .010) using the ENCODE Epigenomics Roadmap PBMC reference data. Hypermethylation of Enh and promoters (TssA, TssAFlnk) was more commonly observed in DNMT3A mt CH (compared with TET2 mt CH), whereas the hypomethylation observed in DNMT3A CH was predominately found at actively transcribed states (Tx, TxWk). scATAC, single-cell ATAC; TssA, active transcription start site; TssAFlnk, Flanking bivalent transcription start sites.

Article Snippet: We then annotated the differentially methylated regions using the ENCODE Epigenomics Roadmap reference data.

Techniques: DNA Methylation Assay, Methylation, Comparison, Functional Assay