massarray epityper application guide Search Results


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DNA methylation and isoform-specific expression within the promoter regions of <t>FCGR3A</t> and FCGR3B. A) Representation of the <t>FCGR3</t> locus spanning approximately 100 kb of chromosome 1q23.3 displaying transcripts annotated in the RefSeq database (adapted from the UCSC Genome Browser). Below, promoter regions of FCGR3A and FCGR3B are enlarged displaying the various transcript variants annotated in the RefSeq database that differ in the 5′ region. MassARRAY amplicons (green bars) used are shown along with the positions of CpG dinucleotides (green markers). TSS, transcriptional start site. B) The MassARRAY EpiTYPER assay was used to interrogate the DNA methylation levels of CpGs across the promoter region of FCGR3A and FCGR3B in a gene-specific manner in sorted NK CD16a+ and CD16a- fractions. Methylation plots are aligned to enlargements of gene promoters (in B) according to the hg19 genome assembly. C, D) DNA methylation levels in NK cell lines and neutrophils, respectively. E) The expression ratio of FCGR3A to FCGR3B in CD16a+ NK cells and neutrophils as determined by the MassARRAY iPLEX assay. F) Quantitative RT-PCR analysis of 5′ transcript variants using primers specific for variant 1 or variants 3 and 2 indicating promoter usage in NK cells, neutrophils, and NK cell lines YT and NKL (both primer pairs do not distinguish FCGR3A vs. FCGR3B). D1-4 represents donor numbers 1–4. Expression values expressed relative to the average of four housekeeping (HK) genes.
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Sequenom massarray epityper application guide
DNA methylation and isoform-specific expression within the promoter regions of <t>FCGR3A</t> and FCGR3B. A) Representation of the <t>FCGR3</t> locus spanning approximately 100 kb of chromosome 1q23.3 displaying transcripts annotated in the RefSeq database (adapted from the UCSC Genome Browser). Below, promoter regions of FCGR3A and FCGR3B are enlarged displaying the various transcript variants annotated in the RefSeq database that differ in the 5′ region. MassARRAY amplicons (green bars) used are shown along with the positions of CpG dinucleotides (green markers). TSS, transcriptional start site. B) The MassARRAY EpiTYPER assay was used to interrogate the DNA methylation levels of CpGs across the promoter region of FCGR3A and FCGR3B in a gene-specific manner in sorted NK CD16a+ and CD16a- fractions. Methylation plots are aligned to enlargements of gene promoters (in B) according to the hg19 genome assembly. C, D) DNA methylation levels in NK cell lines and neutrophils, respectively. E) The expression ratio of FCGR3A to FCGR3B in CD16a+ NK cells and neutrophils as determined by the MassARRAY iPLEX assay. F) Quantitative RT-PCR analysis of 5′ transcript variants using primers specific for variant 1 or variants 3 and 2 indicating promoter usage in NK cells, neutrophils, and NK cell lines YT and NKL (both primer pairs do not distinguish FCGR3A vs. FCGR3B). D1-4 represents donor numbers 1–4. Expression values expressed relative to the average of four housekeeping (HK) genes.
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DNA methylation and isoform-specific expression within the promoter regions of <t>FCGR3A</t> and FCGR3B. A) Representation of the <t>FCGR3</t> locus spanning approximately 100 kb of chromosome 1q23.3 displaying transcripts annotated in the RefSeq database (adapted from the UCSC Genome Browser). Below, promoter regions of FCGR3A and FCGR3B are enlarged displaying the various transcript variants annotated in the RefSeq database that differ in the 5′ region. MassARRAY amplicons (green bars) used are shown along with the positions of CpG dinucleotides (green markers). TSS, transcriptional start site. B) The MassARRAY EpiTYPER assay was used to interrogate the DNA methylation levels of CpGs across the promoter region of FCGR3A and FCGR3B in a gene-specific manner in sorted NK CD16a+ and CD16a- fractions. Methylation plots are aligned to enlargements of gene promoters (in B) according to the hg19 genome assembly. C, D) DNA methylation levels in NK cell lines and neutrophils, respectively. E) The expression ratio of FCGR3A to FCGR3B in CD16a+ NK cells and neutrophils as determined by the MassARRAY iPLEX assay. F) Quantitative RT-PCR analysis of 5′ transcript variants using primers specific for variant 1 or variants 3 and 2 indicating promoter usage in NK cells, neutrophils, and NK cell lines YT and NKL (both primer pairs do not distinguish FCGR3A vs. FCGR3B). D1-4 represents donor numbers 1–4. Expression values expressed relative to the average of four housekeeping (HK) genes.
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DNA methylation and isoform-specific expression within the promoter regions of <t>FCGR3A</t> and FCGR3B. A) Representation of the <t>FCGR3</t> locus spanning approximately 100 kb of chromosome 1q23.3 displaying transcripts annotated in the RefSeq database (adapted from the UCSC Genome Browser). Below, promoter regions of FCGR3A and FCGR3B are enlarged displaying the various transcript variants annotated in the RefSeq database that differ in the 5′ region. MassARRAY amplicons (green bars) used are shown along with the positions of CpG dinucleotides (green markers). TSS, transcriptional start site. B) The MassARRAY EpiTYPER assay was used to interrogate the DNA methylation levels of CpGs across the promoter region of FCGR3A and FCGR3B in a gene-specific manner in sorted NK CD16a+ and CD16a- fractions. Methylation plots are aligned to enlargements of gene promoters (in B) according to the hg19 genome assembly. C, D) DNA methylation levels in NK cell lines and neutrophils, respectively. E) The expression ratio of FCGR3A to FCGR3B in CD16a+ NK cells and neutrophils as determined by the MassARRAY iPLEX assay. F) Quantitative RT-PCR analysis of 5′ transcript variants using primers specific for variant 1 or variants 3 and 2 indicating promoter usage in NK cells, neutrophils, and NK cell lines YT and NKL (both primer pairs do not distinguish FCGR3A vs. FCGR3B). D1-4 represents donor numbers 1–4. Expression values expressed relative to the average of four housekeeping (HK) genes.
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Genome-wide epigenetic studies of retinal disease, risk factors, and related pathologies.
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Genome-wide epigenetic studies of retinal disease, risk factors, and related pathologies.
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Genome-wide epigenetic studies of retinal disease, risk factors, and related pathologies.
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Genome-wide epigenetic studies of retinal disease, risk factors, and related pathologies.
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Genome-wide epigenetic studies of retinal disease, risk factors, and related pathologies.
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Image Search Results


DNA methylation and isoform-specific expression within the promoter regions of FCGR3A and FCGR3B. A) Representation of the FCGR3 locus spanning approximately 100 kb of chromosome 1q23.3 displaying transcripts annotated in the RefSeq database (adapted from the UCSC Genome Browser). Below, promoter regions of FCGR3A and FCGR3B are enlarged displaying the various transcript variants annotated in the RefSeq database that differ in the 5′ region. MassARRAY amplicons (green bars) used are shown along with the positions of CpG dinucleotides (green markers). TSS, transcriptional start site. B) The MassARRAY EpiTYPER assay was used to interrogate the DNA methylation levels of CpGs across the promoter region of FCGR3A and FCGR3B in a gene-specific manner in sorted NK CD16a+ and CD16a- fractions. Methylation plots are aligned to enlargements of gene promoters (in B) according to the hg19 genome assembly. C, D) DNA methylation levels in NK cell lines and neutrophils, respectively. E) The expression ratio of FCGR3A to FCGR3B in CD16a+ NK cells and neutrophils as determined by the MassARRAY iPLEX assay. F) Quantitative RT-PCR analysis of 5′ transcript variants using primers specific for variant 1 or variants 3 and 2 indicating promoter usage in NK cells, neutrophils, and NK cell lines YT and NKL (both primer pairs do not distinguish FCGR3A vs. FCGR3B). D1-4 represents donor numbers 1–4. Expression values expressed relative to the average of four housekeeping (HK) genes.

Journal: Journal of immunology (Baltimore, Md. : 1950)

Article Title: Epigenetic and post-transcriptional regulation of CD16 expression during human natural killer cell development 1

doi: 10.4049/jimmunol.1701128

Figure Lengend Snippet: DNA methylation and isoform-specific expression within the promoter regions of FCGR3A and FCGR3B. A) Representation of the FCGR3 locus spanning approximately 100 kb of chromosome 1q23.3 displaying transcripts annotated in the RefSeq database (adapted from the UCSC Genome Browser). Below, promoter regions of FCGR3A and FCGR3B are enlarged displaying the various transcript variants annotated in the RefSeq database that differ in the 5′ region. MassARRAY amplicons (green bars) used are shown along with the positions of CpG dinucleotides (green markers). TSS, transcriptional start site. B) The MassARRAY EpiTYPER assay was used to interrogate the DNA methylation levels of CpGs across the promoter region of FCGR3A and FCGR3B in a gene-specific manner in sorted NK CD16a+ and CD16a- fractions. Methylation plots are aligned to enlargements of gene promoters (in B) according to the hg19 genome assembly. C, D) DNA methylation levels in NK cell lines and neutrophils, respectively. E) The expression ratio of FCGR3A to FCGR3B in CD16a+ NK cells and neutrophils as determined by the MassARRAY iPLEX assay. F) Quantitative RT-PCR analysis of 5′ transcript variants using primers specific for variant 1 or variants 3 and 2 indicating promoter usage in NK cells, neutrophils, and NK cell lines YT and NKL (both primer pairs do not distinguish FCGR3A vs. FCGR3B). D1-4 represents donor numbers 1–4. Expression values expressed relative to the average of four housekeeping (HK) genes.

Article Snippet: Antibodies and flow cytometric analysis The following antibodies were used to stain human peripheral blood cells: CD3 (SK7, BD Biosciences), CD14 (TÜK4, Miltenyi), CD15 (VIMC6, Miltenyi), CD16 (VEP13, Miltenyi), CD16 (3G8, BD Biosciences), and CD56 (N901, Beckman Coulter).

Techniques: DNA Methylation Assay, Expressing, MassARRAY EpiTYPER assay, Methylation, Quantitative RT-PCR, Variant Assay

Analysis of DNA methylation- and lineage-specific activity of FCGR3 promoter sequences. A) Illustration of FCGR3A and FCGR3B sequences cloned into luciferase constructs (black bars). B) Four separate promoter sequence fragments were cloned from either FCGR3A (left) or FCGR3B (right) and transfected in various cell lines. Luciferase assays showing sequence- and gene-specific activity (relative to empty-vector control). Pmed1-A and Pmed1-B were additionally methylated in vitro prior to transfection. Error bars represent SEM of n=3 individual experiments; ND, not done. C) Sequence alignment of Pmed1-A and Pmed1-B with numbered CpGs. All sequence variants are enlarged below; an 8 bp repeat occurring in the vicinity of CpG#6 is highlighted in blue, asterisks below the sequence indicate homology. D) Luciferase activity following site-directed mutagenesis of CpG#s 1&2 of Pmed1-A compared to unaltered FCGR3A and FCGR3B sequences in YT and K562 cells.

Journal: Journal of immunology (Baltimore, Md. : 1950)

Article Title: Epigenetic and post-transcriptional regulation of CD16 expression during human natural killer cell development 1

doi: 10.4049/jimmunol.1701128

Figure Lengend Snippet: Analysis of DNA methylation- and lineage-specific activity of FCGR3 promoter sequences. A) Illustration of FCGR3A and FCGR3B sequences cloned into luciferase constructs (black bars). B) Four separate promoter sequence fragments were cloned from either FCGR3A (left) or FCGR3B (right) and transfected in various cell lines. Luciferase assays showing sequence- and gene-specific activity (relative to empty-vector control). Pmed1-A and Pmed1-B were additionally methylated in vitro prior to transfection. Error bars represent SEM of n=3 individual experiments; ND, not done. C) Sequence alignment of Pmed1-A and Pmed1-B with numbered CpGs. All sequence variants are enlarged below; an 8 bp repeat occurring in the vicinity of CpG#6 is highlighted in blue, asterisks below the sequence indicate homology. D) Luciferase activity following site-directed mutagenesis of CpG#s 1&2 of Pmed1-A compared to unaltered FCGR3A and FCGR3B sequences in YT and K562 cells.

Article Snippet: Antibodies and flow cytometric analysis The following antibodies were used to stain human peripheral blood cells: CD3 (SK7, BD Biosciences), CD14 (TÜK4, Miltenyi), CD15 (VIMC6, Miltenyi), CD16 (VEP13, Miltenyi), CD16 (3G8, BD Biosciences), and CD56 (N901, Beckman Coulter).

Techniques: DNA Methylation Assay, Activity Assay, Clone Assay, Luciferase, Construct, Sequencing, Transfection, Plasmid Preparation, Control, Methylation, In Vitro, Mutagenesis

Identification of miR-218 as a potential regulator of FCGR3A. (A) Expression ratio of predicted miRNAs that were present in the miRNA expression array comparing CD16a+ and CD16a- NK cells freshly isolated from adult peripheral blood. A ratio <1 indicates low expression in CD16a+ NK cells while a ratio >1 indicates high expression in CD16a+ NK cells. (B) Predicted miRNA regulators of FCGR3A have putative binding sites in the FCGR3A 3′ UTR. (C) Validation of expression of predicted miRNA regulators of FCGR3A by qPCR (n=3). (D) Luciferase expression as a ratio of firefly/renilla for each expression vector (n=2). Data are presented as mean±SD, * indicates p<0.05.

Journal: Journal of immunology (Baltimore, Md. : 1950)

Article Title: Epigenetic and post-transcriptional regulation of CD16 expression during human natural killer cell development 1

doi: 10.4049/jimmunol.1701128

Figure Lengend Snippet: Identification of miR-218 as a potential regulator of FCGR3A. (A) Expression ratio of predicted miRNAs that were present in the miRNA expression array comparing CD16a+ and CD16a- NK cells freshly isolated from adult peripheral blood. A ratio <1 indicates low expression in CD16a+ NK cells while a ratio >1 indicates high expression in CD16a+ NK cells. (B) Predicted miRNA regulators of FCGR3A have putative binding sites in the FCGR3A 3′ UTR. (C) Validation of expression of predicted miRNA regulators of FCGR3A by qPCR (n=3). (D) Luciferase expression as a ratio of firefly/renilla for each expression vector (n=2). Data are presented as mean±SD, * indicates p<0.05.

Article Snippet: Antibodies and flow cytometric analysis The following antibodies were used to stain human peripheral blood cells: CD3 (SK7, BD Biosciences), CD14 (TÜK4, Miltenyi), CD15 (VIMC6, Miltenyi), CD16 (VEP13, Miltenyi), CD16 (3G8, BD Biosciences), and CD56 (N901, Beckman Coulter).

Techniques: Expressing, Isolation, Binding Assay, Biomarker Discovery, Luciferase, Plasmid Preparation

MiR-218 negatively regulates CD16a in primary human NK cells. Primary human NK cells were enriched by magnetic selection to >70% purity and infected with lentivirus containing either miR-218 or empty vector. 48hr after infection, NK cells were sorted as live/CD3-/CD56+/GFP+ lymphocytes. (A) Representative histogram plot (of one of six donors) of CD16a expression in live/CD3-/CD56+/GFP+ primary human NK cells infected with miR-218 or empty vector virus. (B) CD16a expression in primary human NK cells infected with miR-218 or empty vector virus (* indicates p=0.05). (C) Validation of miR-218 over-expression by real-time PCR (** indicates p<0.01). (D) FCGR3A mRNA expression assessed by real-time RT-PCR in sorted NK cells infected with either miR-218 or empty vector (*** indicates p<0.005). (B–D) Data are presented as mean±SD, n=6.

Journal: Journal of immunology (Baltimore, Md. : 1950)

Article Title: Epigenetic and post-transcriptional regulation of CD16 expression during human natural killer cell development 1

doi: 10.4049/jimmunol.1701128

Figure Lengend Snippet: MiR-218 negatively regulates CD16a in primary human NK cells. Primary human NK cells were enriched by magnetic selection to >70% purity and infected with lentivirus containing either miR-218 or empty vector. 48hr after infection, NK cells were sorted as live/CD3-/CD56+/GFP+ lymphocytes. (A) Representative histogram plot (of one of six donors) of CD16a expression in live/CD3-/CD56+/GFP+ primary human NK cells infected with miR-218 or empty vector virus. (B) CD16a expression in primary human NK cells infected with miR-218 or empty vector virus (* indicates p=0.05). (C) Validation of miR-218 over-expression by real-time PCR (** indicates p<0.01). (D) FCGR3A mRNA expression assessed by real-time RT-PCR in sorted NK cells infected with either miR-218 or empty vector (*** indicates p<0.005). (B–D) Data are presented as mean±SD, n=6.

Article Snippet: Antibodies and flow cytometric analysis The following antibodies were used to stain human peripheral blood cells: CD3 (SK7, BD Biosciences), CD14 (TÜK4, Miltenyi), CD15 (VIMC6, Miltenyi), CD16 (VEP13, Miltenyi), CD16 (3G8, BD Biosciences), and CD56 (N901, Beckman Coulter).

Techniques: Selection, Infection, Plasmid Preparation, Expressing, Virus, Biomarker Discovery, Over Expression, Real-time Polymerase Chain Reaction, Quantitative RT-PCR

Genome-wide epigenetic studies of retinal disease, risk factors, and related pathologies.

Journal: Journal of Experimental Neuroscience

Article Title: Epigenetic Mechanisms of the Aging Human Retina

doi: 10.4137/JEN.S25513

Figure Lengend Snippet: Genome-wide epigenetic studies of retinal disease, risk factors, and related pathologies.

Article Snippet: Ko et al, 2013 , Renal , Kidney fibrosis , Discovery: HELP-Nimblegen whole genome covering microarray; validation: bisulfite-Sequenom MassArray EpiTYPER; replication: Illumina Infinium HumanMethylation450K BeadChip , None , Discovery/validation: 12 hypertensive or diabetic chronic kidney disease, 14 controls; replication: 21 diabetic chronic kidney disease, 66 controls , Human kidney tubule epithelial cell tissue samples from healthy living transplants or surgical nephrectomies , Not provided , Discovery: 4751 DMRs/1535 genes; replication: 1061 genes , Cell adhesion, development , COLIVA1, DSCAM, DPT.

Techniques: Genome Wide, RNA Expression, Preserving, Methylation, Microarray, Immunohistochemistry, Western Blot, Activity Assay, Binding Assay, Methylated DNA Immunoprecipitation, Biomarker Discovery, DNA Methylation Assay, Cell Culture, Extraction, Methylation Sequencing, Transformation Assay, Sequencing, Methylated DNA Immunoprecipitation Sequencing, Phospho-proteomics, Glycoproteomics, Luciferase, Starch, In Vitro, Expressing, Transduction, Ubiquitin Proteomics, Clinical Proteomics, Membrane, Cell Differentiation, Control