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Sequenom massarray epityper analysis
Massarray Epityper Analysis, supplied by Sequenom, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/massarray+epityper+analysis/massarray+epityper/pmc03583736-20-12-11
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Quantitation Assay:

Article Title: Quantitative DNA Methylation Analysis and Epigenotype-Phenotype Correlations in Taiwanese Patients with Silver-Russell Syndrome
Article Snippet: .. The quantitation of DNA methylation was carried out using the MassARRAY EpiTYPER platform (Sequenom, San Diego, CA, USA) as previously described , , . shows the primer sequences for the bisulfite PCR. .. All diagnostic examinations were performed by methylation profiling of H19 -associated IC1 and the imprinted PEG1/MEST region using MS-HRM and high-resolution quantitative methylation profiling with a methylation-specific PCR assay using the MassARRAY EpiTYPER platform (Sequenom, San Diego, CA, USA).

DNA Methylation Assay:

Article Title: Quantitative DNA Methylation Analysis and Epigenotype-Phenotype Correlations in Taiwanese Patients with Silver-Russell Syndrome
Article Snippet: .. The quantitation of DNA methylation was carried out using the MassARRAY EpiTYPER platform (Sequenom, San Diego, CA, USA) as previously described , , . shows the primer sequences for the bisulfite PCR. .. All diagnostic examinations were performed by methylation profiling of H19 -associated IC1 and the imprinted PEG1/MEST region using MS-HRM and high-resolution quantitative methylation profiling with a methylation-specific PCR assay using the MassARRAY EpiTYPER platform (Sequenom, San Diego, CA, USA).

Article Title: DNA methylation promotes the expression of PPARγ transcript 1 at least in part by preventing NRF1 binding to the promoter P1 of chicken PPARγ gene
Article Snippet: Then, the products were subjected to T cleavage, and spotted onto a 384-well SpectroCHIP bioarray (Sequenom, San Diego, CA) using MassARRAY Nanodispenser 1000 (Sequenom, San Diego, CA) and analyzed by the MassARRAY Analyzer 4.0 (Sequenom, San Diego, CA). .. DNA methylation levels were calculated using MassARRAY EpiTYPER software (Sequenom, San Diego, CA) ( ). .. Pyrosequencing was used for quantitative methylation of individual CpG sites in the promoter P1.

Article Title: Placenta Thickness Mediates the Association Between AKIP1 Methylation in Maternal Peripheral Blood and Full-Term Small for Gestational Age Neonates
Article Snippet: .. The DNA methylation analysis of CpG in the target region of the AKIP1 gene was measured by the Sequenom MassARRAY EpiTYPER approach. ..

Article Title: Early-life adversity severity, timing, and context type are associated with SLC6A4 methylation in emerging adults: Results from a prospective cohort study.
Article Snippet: Background: Epigenetic modifications, including DNA methylation (DNAm), can play a role in the biological embedding of early-life adversity (ELA) through serotonergic mechanisms.. The current study examines methylation of the CpG island in the promoter region of the stress-responsive serotonin transporter gene (SLC6A4) and is the first to jointly assess how it is influenced by ELA severity, timing, and type—specifically, deprivation and threat.. Methods: We use data from 627 Youth Emotion Project study participants, recruited from two US high schools.

Polymerase Chain Reaction:

Article Title: Quantitative DNA Methylation Analysis and Epigenotype-Phenotype Correlations in Taiwanese Patients with Silver-Russell Syndrome
Article Snippet: .. The quantitation of DNA methylation was carried out using the MassARRAY EpiTYPER platform (Sequenom, San Diego, CA, USA) as previously described , , . shows the primer sequences for the bisulfite PCR. .. All diagnostic examinations were performed by methylation profiling of H19 -associated IC1 and the imprinted PEG1/MEST region using MS-HRM and high-resolution quantitative methylation profiling with a methylation-specific PCR assay using the MassARRAY EpiTYPER platform (Sequenom, San Diego, CA, USA).

Article Title: Quantitative DNA Methylation Analysis and Epigenotype-Phenotype Correlations in Taiwanese Patients with Silver-Russell Syndrome
Article Snippet: The quantitation of DNA methylation was carried out using the MassARRAY EpiTYPER platform (Sequenom, San Diego, CA, USA) as previously described , , . shows the primer sequences for the bisulfite PCR. .. All diagnostic examinations were performed by methylation profiling of H19 -associated IC1 and the imprinted PEG1/MEST region using MS-HRM and high-resolution quantitative methylation profiling with a methylation-specific PCR assay using the MassARRAY EpiTYPER platform (Sequenom, San Diego, CA, USA). ..

Software:

Article Title: DNA methylation promotes the expression of PPARγ transcript 1 at least in part by preventing NRF1 binding to the promoter P1 of chicken PPARγ gene
Article Snippet: Then, the products were subjected to T cleavage, and spotted onto a 384-well SpectroCHIP bioarray (Sequenom, San Diego, CA) using MassARRAY Nanodispenser 1000 (Sequenom, San Diego, CA) and analyzed by the MassARRAY Analyzer 4.0 (Sequenom, San Diego, CA). .. DNA methylation levels were calculated using MassARRAY EpiTYPER software (Sequenom, San Diego, CA) ( ). .. Pyrosequencing was used for quantitative methylation of individual CpG sites in the promoter P1.

Diagnostic Assay:

Article Title: Quantitative DNA Methylation Analysis and Epigenotype-Phenotype Correlations in Taiwanese Patients with Silver-Russell Syndrome
Article Snippet: The quantitation of DNA methylation was carried out using the MassARRAY EpiTYPER platform (Sequenom, San Diego, CA, USA) as previously described , , . shows the primer sequences for the bisulfite PCR. .. All diagnostic examinations were performed by methylation profiling of H19 -associated IC1 and the imprinted PEG1/MEST region using MS-HRM and high-resolution quantitative methylation profiling with a methylation-specific PCR assay using the MassARRAY EpiTYPER platform (Sequenom, San Diego, CA, USA). ..

Methylation:

Article Title: Quantitative DNA Methylation Analysis and Epigenotype-Phenotype Correlations in Taiwanese Patients with Silver-Russell Syndrome
Article Snippet: The quantitation of DNA methylation was carried out using the MassARRAY EpiTYPER platform (Sequenom, San Diego, CA, USA) as previously described , , . shows the primer sequences for the bisulfite PCR. .. All diagnostic examinations were performed by methylation profiling of H19 -associated IC1 and the imprinted PEG1/MEST region using MS-HRM and high-resolution quantitative methylation profiling with a methylation-specific PCR assay using the MassARRAY EpiTYPER platform (Sequenom, San Diego, CA, USA). ..

Article Title: Early-life adversity severity, timing, and context type are associated with SLC6A4 methylation in emerging adults: Results from a prospective cohort study.
Article Snippet: Background: Epigenetic modifications, including DNA methylation (DNAm), can play a role in the biological embedding of early-life adversity (ELA) through serotonergic mechanisms.. The current study examines methylation of the CpG island in the promoter region of the stress-responsive serotonin transporter gene (SLC6A4) and is the first to jointly assess how it is influenced by ELA severity, timing, and type—specifically, deprivation and threat.. Methods: We use data from 627 Youth Emotion Project study participants, recruited from two US high schools.

Article Title: The role of cecal metabolites and DNA methylation in deciphering the effects of maternal genistein intake on white fat browning in adult female offspring.
Article Snippet: Maternal diets during pregnancy and lactation are critical determinants that regulate the metabolic homeostasis in offspring.. Our previous research demonstrated that maternal genistein (GEN) intervention ameliorated the dysregulation of glucolipid metabolism induced by intrauterine overnutrition in adult offspring, accompanied by changes in the composition of gut microbiota; however, the underlying mechanisms remain unclear.. Here, we used a maternal overnutrition model induced by excess energy intake before and throughout pregnancy and lactation, with maternal GEN administered during the same period.

Biomarker Discovery:

Article Title: Biomarkers for predicting responsiveness to decitabine therapy
Article Snippet: .. EpiTYPER MassARRAY: Validation of CpG methylation of select genomic regions was performed by MALDI-TOF using EpiTYPER MassARRAY (Sequenom, San Diego, CA) (see, e.g., Ehrich, M., et al., Proc Natl Acad Sci USA. ..

CpG Methylation Assay:

Article Title: Biomarkers for predicting responsiveness to decitabine therapy
Article Snippet: .. EpiTYPER MassARRAY: Validation of CpG methylation of select genomic regions was performed by MALDI-TOF using EpiTYPER MassARRAY (Sequenom, San Diego, CA) (see, e.g., Ehrich, M., et al., Proc Natl Acad Sci USA. ..

Mass Spectrometry:

Article Title: Early-life adversity severity, timing, and context type are associated with SLC6A4 methylation in emerging adults: Results from a prospective cohort study.
Article Snippet: Background: Epigenetic modifications, including DNA methylation (DNAm), can play a role in the biological embedding of early-life adversity (ELA) through serotonergic mechanisms.. The current study examines methylation of the CpG island in the promoter region of the stress-responsive serotonin transporter gene (SLC6A4) and is the first to jointly assess how it is influenced by ELA severity, timing, and type—specifically, deprivation and threat.. Methods: We use data from 627 Youth Emotion Project study participants, recruited from two US high schools.



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Epigenome-wide <t>DNA</t> <t>methylation</t> analysis reveals MIR-21 as the top hypermethylated region in CD4 T cells from FAE-treated patients. CD4 T cell DNA from 47 treatment-naïve, 35 FAE-treated and 16 GA-treated multiple sclerosis patients was analysed by using the Infinium MethylationEPIC BeadChip array. To identify differentially methylated regions between treated and untreated patients, we utilized a linear regression model at each individual CpG site to identify the contribution of treatment status in DNA methylation changes after controlling for age, gender, race, disease duration, the total CD4 T cell percentage as well as the percentage of CCR6−CCR4+, CCR6+CCR4+ and CCR6+CCR4− CD4 T cells in each sample. We then used a 1-kb sliding window to define genomic regions with closely located CpG sites, and then combined each CpG specific P-value from our previous linear regression model within a single region with the Stouffer’s method. This was followed by the Bonferroni correction for multiple hypothesis testing. DMRs were defined as regions with more than four CpG sites that have an absolute median β-value change > 0.02 and an adjusted combined P-value of < 0.01. Based on this analysis we uncovered 202 hypermethylated DMRs (containing 1545 CpGs) and only 13 hypomethylated DMRs (containing 158 CpGs) in FAE-treated patients compared to controls. (A and B) The CpGs distribution of these hypermethylated (hyperCpGs) and hypomethylated (hypoCpGs) DMRs was compared to that of the CpG distribution in the Illumina Infinium MethylationEPIC BeadChip (allCpGs). (C) Circos plot showing (from inside out); innermost first circle: chromosomal colors, numbers and size; second circle: a scatter plot with each point representing the genomic location and mean change in β-value of hypomethylated (in blue) and hypermethylated (in red) CpG sites; third circle: dark red perpendicular lines represent the genomic location of significantly hypermethylated DMRs; fourth circle: dark red scatter plot with each point representing the genomic location and mean beta change of significantly hypermethylated DMRs spanning more than 10 CpGs; outermost fifth circle: contains the names of genes whose promoters are located in these large DMRs (MIR-21 is shown in red). (D) Manhattan plot of the discovery cohort analysis showing mean beta change of significantly hypermethylated DMRs spanning more than 10 CpGs, where MIR-21 was the top differentially methylated locus. (E) Manhattan plot from the pair-wise longitudinal analysis showing that MIR-21 was the hypermethylated DMR with the most consistent and greatest methylation change in the validation cohort.
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Epigenome-wide DNA methylation analysis reveals MIR-21 as the top hypermethylated region in CD4 T cells from FAE-treated patients. CD4 T cell DNA from 47 treatment-naïve, 35 FAE-treated and 16 GA-treated multiple sclerosis patients was analysed by using the Infinium MethylationEPIC BeadChip array. To identify differentially methylated regions between treated and untreated patients, we utilized a linear regression model at each individual CpG site to identify the contribution of treatment status in DNA methylation changes after controlling for age, gender, race, disease duration, the total CD4 T cell percentage as well as the percentage of CCR6−CCR4+, CCR6+CCR4+ and CCR6+CCR4− CD4 T cells in each sample. We then used a 1-kb sliding window to define genomic regions with closely located CpG sites, and then combined each CpG specific P-value from our previous linear regression model within a single region with the Stouffer’s method. This was followed by the Bonferroni correction for multiple hypothesis testing. DMRs were defined as regions with more than four CpG sites that have an absolute median β-value change > 0.02 and an adjusted combined P-value of < 0.01. Based on this analysis we uncovered 202 hypermethylated DMRs (containing 1545 CpGs) and only 13 hypomethylated DMRs (containing 158 CpGs) in FAE-treated patients compared to controls. (A and B) The CpGs distribution of these hypermethylated (hyperCpGs) and hypomethylated (hypoCpGs) DMRs was compared to that of the CpG distribution in the Illumina Infinium MethylationEPIC BeadChip (allCpGs). (C) Circos plot showing (from inside out); innermost first circle: chromosomal colors, numbers and size; second circle: a scatter plot with each point representing the genomic location and mean change in β-value of hypomethylated (in blue) and hypermethylated (in red) CpG sites; third circle: dark red perpendicular lines represent the genomic location of significantly hypermethylated DMRs; fourth circle: dark red scatter plot with each point representing the genomic location and mean beta change of significantly hypermethylated DMRs spanning more than 10 CpGs; outermost fifth circle: contains the names of genes whose promoters are located in these large DMRs (MIR-21 is shown in red). (D) Manhattan plot of the discovery cohort analysis showing mean beta change of significantly hypermethylated DMRs spanning more than 10 CpGs, where MIR-21 was the top differentially methylated locus. (E) Manhattan plot from the pair-wise longitudinal analysis showing that MIR-21 was the hypermethylated DMR with the most consistent and greatest methylation change in the validation cohort.

Journal: Brain

Article Title: Fumarates target the metabolic-epigenetic interplay of brain-homing T cells in multiple sclerosis

doi: 10.1093/brain/awy344

Figure Lengend Snippet: Epigenome-wide DNA methylation analysis reveals MIR-21 as the top hypermethylated region in CD4 T cells from FAE-treated patients. CD4 T cell DNA from 47 treatment-naïve, 35 FAE-treated and 16 GA-treated multiple sclerosis patients was analysed by using the Infinium MethylationEPIC BeadChip array. To identify differentially methylated regions between treated and untreated patients, we utilized a linear regression model at each individual CpG site to identify the contribution of treatment status in DNA methylation changes after controlling for age, gender, race, disease duration, the total CD4 T cell percentage as well as the percentage of CCR6−CCR4+, CCR6+CCR4+ and CCR6+CCR4− CD4 T cells in each sample. We then used a 1-kb sliding window to define genomic regions with closely located CpG sites, and then combined each CpG specific P-value from our previous linear regression model within a single region with the Stouffer’s method. This was followed by the Bonferroni correction for multiple hypothesis testing. DMRs were defined as regions with more than four CpG sites that have an absolute median β-value change > 0.02 and an adjusted combined P-value of < 0.01. Based on this analysis we uncovered 202 hypermethylated DMRs (containing 1545 CpGs) and only 13 hypomethylated DMRs (containing 158 CpGs) in FAE-treated patients compared to controls. (A and B) The CpGs distribution of these hypermethylated (hyperCpGs) and hypomethylated (hypoCpGs) DMRs was compared to that of the CpG distribution in the Illumina Infinium MethylationEPIC BeadChip (allCpGs). (C) Circos plot showing (from inside out); innermost first circle: chromosomal colors, numbers and size; second circle: a scatter plot with each point representing the genomic location and mean change in β-value of hypomethylated (in blue) and hypermethylated (in red) CpG sites; third circle: dark red perpendicular lines represent the genomic location of significantly hypermethylated DMRs; fourth circle: dark red scatter plot with each point representing the genomic location and mean beta change of significantly hypermethylated DMRs spanning more than 10 CpGs; outermost fifth circle: contains the names of genes whose promoters are located in these large DMRs (MIR-21 is shown in red). (D) Manhattan plot of the discovery cohort analysis showing mean beta change of significantly hypermethylated DMRs spanning more than 10 CpGs, where MIR-21 was the top differentially methylated locus. (E) Manhattan plot from the pair-wise longitudinal analysis showing that MIR-21 was the hypermethylated DMR with the most consistent and greatest methylation change in the validation cohort.

Article Snippet: EpiTYPER MassArray® analysis DNA methylation analysis of ex vivo and in vitro stimulated cells was performed with EpiTYPERTM MassARRAY® system (Agena Bioscience) as previously described ( Moyon et al. , 2016 ) at the Epigenetics Core facility at the CUNY Advanced Science Research Center (ASRC).

Techniques: DNA Methylation Assay, Methylation, Biomarker Discovery

FAEs inhibit DNA demethylation at the MIR-21 promoter in a specific and dose-dependent manner. Naïve (CD45RO−CCR7+) and memory (CD45RO+) CD4 T cells were isolated from human PBMCs by FACS. The baseline DNA methylation levels of naïve (NaïveBL) and memory CD4 T cells (MemoryBL) at the (A) MIR-21 and (B) TNF promoters were measured ex vivo by EpiTYPER™ MassARRAY®. Naïve and memory CD4 T cells were also cultured with or without MMF at the specified concentration and stimulated with anti-CD3 and anti-CD28 coated beads for 3 days either without polarization or under Th17 polarizing conditions, after which DNA methylation levels at the (A) MIR-21 and (B) TNF promoters were measured by EpiTYPER™ MassARRAY®. (A) MMF was able to inhibit DNA demethylation of the MIR-21 promoter in naïve CD4 T cells, but not in memory CD4 T cells, in a dose dependent manner. (B) DNA methylation at the TNF promoter was not significantly changed by MMF in either naïve or memory CD4 T cells. (C) MMF had an even greater hypermethylating effect on the MIR-21 locus of naïve CD4 T cells that were stimulated under Th17 polarizing conditions. (D) MMF was also able to inhibit the demethylation of the MIR-21 promoter of naïve (CD45RO−CCR7+) CD8 T cells after 3 days of activation with anti-CD3 and anti-CD28 coated beads in vitro under Tc17 polarizing conditions. MMF20 = 20 µM of MMF; MMF50 = 50 µM of MMF; Veh = vehicle.

Journal: Brain

Article Title: Fumarates target the metabolic-epigenetic interplay of brain-homing T cells in multiple sclerosis

doi: 10.1093/brain/awy344

Figure Lengend Snippet: FAEs inhibit DNA demethylation at the MIR-21 promoter in a specific and dose-dependent manner. Naïve (CD45RO−CCR7+) and memory (CD45RO+) CD4 T cells were isolated from human PBMCs by FACS. The baseline DNA methylation levels of naïve (NaïveBL) and memory CD4 T cells (MemoryBL) at the (A) MIR-21 and (B) TNF promoters were measured ex vivo by EpiTYPER™ MassARRAY®. Naïve and memory CD4 T cells were also cultured with or without MMF at the specified concentration and stimulated with anti-CD3 and anti-CD28 coated beads for 3 days either without polarization or under Th17 polarizing conditions, after which DNA methylation levels at the (A) MIR-21 and (B) TNF promoters were measured by EpiTYPER™ MassARRAY®. (A) MMF was able to inhibit DNA demethylation of the MIR-21 promoter in naïve CD4 T cells, but not in memory CD4 T cells, in a dose dependent manner. (B) DNA methylation at the TNF promoter was not significantly changed by MMF in either naïve or memory CD4 T cells. (C) MMF had an even greater hypermethylating effect on the MIR-21 locus of naïve CD4 T cells that were stimulated under Th17 polarizing conditions. (D) MMF was also able to inhibit the demethylation of the MIR-21 promoter of naïve (CD45RO−CCR7+) CD8 T cells after 3 days of activation with anti-CD3 and anti-CD28 coated beads in vitro under Tc17 polarizing conditions. MMF20 = 20 µM of MMF; MMF50 = 50 µM of MMF; Veh = vehicle.

Article Snippet: EpiTYPER MassArray® analysis DNA methylation analysis of ex vivo and in vitro stimulated cells was performed with EpiTYPERTM MassARRAY® system (Agena Bioscience) as previously described ( Moyon et al. , 2016 ) at the Epigenetics Core facility at the CUNY Advanced Science Research Center (ASRC).

Techniques: Isolation, DNA Methylation Assay, Ex Vivo, Cell Culture, Concentration Assay, Activation Assay, In Vitro

FAE therapy modifies the metabolic-epigenetic interplay in multiple sclerosis to reduce pathogenic CCR6+ CD4 and CD8 T cells. (A) CD4 T cells from treatment naïve patients with multiple sclerosis exhibit low DNA methylation levels at the MIR-21 locus and high expression of CCR6. CD8 T cells from treatment naïve multiple sclerosis patients also exhibit high levels of CCR6. (B) FAE therapy epigenetically modulates the MIR-21 locus in CD4 and CD8 T cells, which results in hypermethylation and downregulation of miR-21 expression in FAE-treated Th17 and Tc17 cells. This in turn allows for the upregulation of SMAD7 in both CD4 and CD8 T cells, a miR-21-5p and miR-21-3p target with inhibitory feedback on the TGF-b signalling pathway. Finally, FAEs reduce CCR6 expression and lower this potentially pathogenic brain-homing CCR6+ CD4 and CD8 T cell population in FAE-treated multiple sclerosis patients.

Journal: Brain

Article Title: Fumarates target the metabolic-epigenetic interplay of brain-homing T cells in multiple sclerosis

doi: 10.1093/brain/awy344

Figure Lengend Snippet: FAE therapy modifies the metabolic-epigenetic interplay in multiple sclerosis to reduce pathogenic CCR6+ CD4 and CD8 T cells. (A) CD4 T cells from treatment naïve patients with multiple sclerosis exhibit low DNA methylation levels at the MIR-21 locus and high expression of CCR6. CD8 T cells from treatment naïve multiple sclerosis patients also exhibit high levels of CCR6. (B) FAE therapy epigenetically modulates the MIR-21 locus in CD4 and CD8 T cells, which results in hypermethylation and downregulation of miR-21 expression in FAE-treated Th17 and Tc17 cells. This in turn allows for the upregulation of SMAD7 in both CD4 and CD8 T cells, a miR-21-5p and miR-21-3p target with inhibitory feedback on the TGF-b signalling pathway. Finally, FAEs reduce CCR6 expression and lower this potentially pathogenic brain-homing CCR6+ CD4 and CD8 T cell population in FAE-treated multiple sclerosis patients.

Article Snippet: EpiTYPER MassArray® analysis DNA methylation analysis of ex vivo and in vitro stimulated cells was performed with EpiTYPERTM MassARRAY® system (Agena Bioscience) as previously described ( Moyon et al. , 2016 ) at the Epigenetics Core facility at the CUNY Advanced Science Research Center (ASRC).

Techniques: DNA Methylation Assay, Expressing