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microarray expression and methylation probe  (Illumina Inc)


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    Structured Review

    Illumina Inc microarray expression and methylation probe
    We collected published datasets of human blood samples for gene expression, DNA <t>methylation,</t> and single-cell transcriptomic data. The analysis aimed to study the relation between the expression and DNA methylation of retrotransposons (RTEs) versus chronological and biological aging in large human cohorts. The single-cell transcriptomic datasets were employed for cell type-specific analysis of RTEs in peripheral blood mononuclear cell (PBMC) to identify the relation between RTE expression and aging events for annotated cell types within old versus young PBMC samples.
    Microarray Expression And Methylation Probe, supplied by Illumina Inc, 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/microarray+expression+and+methylation+probe/pmc11486490-20-6-2?v=Illumina+Inc
    Average 90 stars, based on 1 article reviews
    microarray expression and methylation probe - by Bioz Stars, 2026-07
    90/100 stars

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    1) Product Images from "Expression of most retrotransposons in human blood correlates with biological aging"

    Article Title: Expression of most retrotransposons in human blood correlates with biological aging

    Journal: eLife

    doi: 10.7554/eLife.96575

    We collected published datasets of human blood samples for gene expression, DNA methylation, and single-cell transcriptomic data. The analysis aimed to study the relation between the expression and DNA methylation of retrotransposons (RTEs) versus chronological and biological aging in large human cohorts. The single-cell transcriptomic datasets were employed for cell type-specific analysis of RTEs in peripheral blood mononuclear cell (PBMC) to identify the relation between RTE expression and aging events for annotated cell types within old versus young PBMC samples.
    Figure Legend Snippet: We collected published datasets of human blood samples for gene expression, DNA methylation, and single-cell transcriptomic data. The analysis aimed to study the relation between the expression and DNA methylation of retrotransposons (RTEs) versus chronological and biological aging in large human cohorts. The single-cell transcriptomic datasets were employed for cell type-specific analysis of RTEs in peripheral blood mononuclear cell (PBMC) to identify the relation between RTE expression and aging events for annotated cell types within old versus young PBMC samples.

    Techniques Used: Gene Expression, DNA Methylation Assay, Expressing

    (a, b), Methylation levels of RTE classes inversely correlated with chronological age in monocyte (Multi-Ethnic Study of Atherosclerosis, MESA) and whole blood (WB) (BSGS, SATSA, and GMPWAR) samples. Satellite DNA was included as a control group. ( c ), Methylation levels versus low (first quartile), medium (second and third quartile), and high (fourth quartile) expressions of RTE classes in monocytes (MESA). Wilcoxon test; ns: not significant. ( d ), Correlation matrix for RTE expressions and methylation levels, and chronological age. *p≤0.05, **p≤0.01, ***p≤0.001, ****p≤0.0001, Pearson’s correlation. MESA, n=1202; BSGS, n=614; GMPWAR, n=656; SATSA, n=1072.
    Figure Legend Snippet: (a, b), Methylation levels of RTE classes inversely correlated with chronological age in monocyte (Multi-Ethnic Study of Atherosclerosis, MESA) and whole blood (WB) (BSGS, SATSA, and GMPWAR) samples. Satellite DNA was included as a control group. ( c ), Methylation levels versus low (first quartile), medium (second and third quartile), and high (fourth quartile) expressions of RTE classes in monocytes (MESA). Wilcoxon test; ns: not significant. ( d ), Correlation matrix for RTE expressions and methylation levels, and chronological age. *p≤0.05, **p≤0.01, ***p≤0.001, ****p≤0.0001, Pearson’s correlation. MESA, n=1202; BSGS, n=614; GMPWAR, n=656; SATSA, n=1072.

    Techniques Used: Methylation, Control

    (a, b), Methylation levels of long terminal repeats (LTR) and LINE/SINE families negatively correlate with chronological age in monocytes (MESA) and the WB (BSGS, SATSA, and GMPWAR). **p≤0.01, ***p≤0.001, Wilcoxon test.
    Figure Legend Snippet: (a, b), Methylation levels of long terminal repeats (LTR) and LINE/SINE families negatively correlate with chronological age in monocytes (MESA) and the WB (BSGS, SATSA, and GMPWAR). **p≤0.01, ***p≤0.001, Wilcoxon test.

    Techniques Used: Methylation

    While LINE families, MIR, and long terminal repeats (LTR) families except ERVK show lower levels of methylation in higher expression groups, this pattern is not seen in Alu, CR1, and ERVl. *p≤0.05, **p≤0.01, ***p≤0.001, ****p≤0.0001, ns: not significant, Wilcoxon test.
    Figure Legend Snippet: While LINE families, MIR, and long terminal repeats (LTR) families except ERVK show lower levels of methylation in higher expression groups, this pattern is not seen in Alu, CR1, and ERVl. *p≤0.05, **p≤0.01, ***p≤0.001, ****p≤0.0001, ns: not significant, Wilcoxon test.

    Techniques Used: Methylation, Expressing



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    Illumina Inc microarray expression and methylation probe
    We collected published datasets of human blood samples for gene expression, DNA <t>methylation,</t> and single-cell transcriptomic data. The analysis aimed to study the relation between the expression and DNA methylation of retrotransposons (RTEs) versus chronological and biological aging in large human cohorts. The single-cell transcriptomic datasets were employed for cell type-specific analysis of RTEs in peripheral blood mononuclear cell (PBMC) to identify the relation between RTE expression and aging events for annotated cell types within old versus young PBMC samples.
    Microarray Expression And Methylation Probe, supplied by Illumina Inc, 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/microarray+expression+and+methylation+probe/pmc11486490-20-6-2?v=Illumina+Inc
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    microarray expression and methylation probe - by Bioz Stars, 2026-07
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    Illumina Inc microarray expression methylation probes
    We collected published datasets of human blood samples for gene expression, DNA <t>methylation,</t> and single-cell transcriptomic data. The analysis aimed to study the relation between the expression and DNA methylation of retrotransposons (RTEs) versus chronological and biological aging in large human cohorts. The single-cell transcriptomic datasets were employed for cell type-specific analysis of RTEs in peripheral blood mononuclear cell (PBMC) to identify the relation between RTE expression and aging events for annotated cell types within old versus young PBMC samples.
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    https://www.bioz.com/product/microarray+expression+and+methylation+probe/bio_rxiv__2024__02__09__579582-20-7-3?v=Illumina+Inc
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    Image Search Results


    We collected published datasets of human blood samples for gene expression, DNA methylation, and single-cell transcriptomic data. The analysis aimed to study the relation between the expression and DNA methylation of retrotransposons (RTEs) versus chronological and biological aging in large human cohorts. The single-cell transcriptomic datasets were employed for cell type-specific analysis of RTEs in peripheral blood mononuclear cell (PBMC) to identify the relation between RTE expression and aging events for annotated cell types within old versus young PBMC samples.

    Journal: eLife

    Article Title: Expression of most retrotransposons in human blood correlates with biological aging

    doi: 10.7554/eLife.96575

    Figure Lengend Snippet: We collected published datasets of human blood samples for gene expression, DNA methylation, and single-cell transcriptomic data. The analysis aimed to study the relation between the expression and DNA methylation of retrotransposons (RTEs) versus chronological and biological aging in large human cohorts. The single-cell transcriptomic datasets were employed for cell type-specific analysis of RTEs in peripheral blood mononuclear cell (PBMC) to identify the relation between RTE expression and aging events for annotated cell types within old versus young PBMC samples.

    Article Snippet: By overlapping Illumina microarray expression and methylation probe locations to RTE locations in RepeatMasker , we were able to identify a sufficient number of probes to calculate the expression and methylation levels of RTE classes and families.

    Techniques: Gene Expression, DNA Methylation Assay, Expressing

    (a, b), Methylation levels of RTE classes inversely correlated with chronological age in monocyte (Multi-Ethnic Study of Atherosclerosis, MESA) and whole blood (WB) (BSGS, SATSA, and GMPWAR) samples. Satellite DNA was included as a control group. ( c ), Methylation levels versus low (first quartile), medium (second and third quartile), and high (fourth quartile) expressions of RTE classes in monocytes (MESA). Wilcoxon test; ns: not significant. ( d ), Correlation matrix for RTE expressions and methylation levels, and chronological age. *p≤0.05, **p≤0.01, ***p≤0.001, ****p≤0.0001, Pearson’s correlation. MESA, n=1202; BSGS, n=614; GMPWAR, n=656; SATSA, n=1072.

    Journal: eLife

    Article Title: Expression of most retrotransposons in human blood correlates with biological aging

    doi: 10.7554/eLife.96575

    Figure Lengend Snippet: (a, b), Methylation levels of RTE classes inversely correlated with chronological age in monocyte (Multi-Ethnic Study of Atherosclerosis, MESA) and whole blood (WB) (BSGS, SATSA, and GMPWAR) samples. Satellite DNA was included as a control group. ( c ), Methylation levels versus low (first quartile), medium (second and third quartile), and high (fourth quartile) expressions of RTE classes in monocytes (MESA). Wilcoxon test; ns: not significant. ( d ), Correlation matrix for RTE expressions and methylation levels, and chronological age. *p≤0.05, **p≤0.01, ***p≤0.001, ****p≤0.0001, Pearson’s correlation. MESA, n=1202; BSGS, n=614; GMPWAR, n=656; SATSA, n=1072.

    Article Snippet: By overlapping Illumina microarray expression and methylation probe locations to RTE locations in RepeatMasker , we were able to identify a sufficient number of probes to calculate the expression and methylation levels of RTE classes and families.

    Techniques: Methylation, Control

    (a, b), Methylation levels of long terminal repeats (LTR) and LINE/SINE families negatively correlate with chronological age in monocytes (MESA) and the WB (BSGS, SATSA, and GMPWAR). **p≤0.01, ***p≤0.001, Wilcoxon test.

    Journal: eLife

    Article Title: Expression of most retrotransposons in human blood correlates with biological aging

    doi: 10.7554/eLife.96575

    Figure Lengend Snippet: (a, b), Methylation levels of long terminal repeats (LTR) and LINE/SINE families negatively correlate with chronological age in monocytes (MESA) and the WB (BSGS, SATSA, and GMPWAR). **p≤0.01, ***p≤0.001, Wilcoxon test.

    Article Snippet: By overlapping Illumina microarray expression and methylation probe locations to RTE locations in RepeatMasker , we were able to identify a sufficient number of probes to calculate the expression and methylation levels of RTE classes and families.

    Techniques: Methylation

    While LINE families, MIR, and long terminal repeats (LTR) families except ERVK show lower levels of methylation in higher expression groups, this pattern is not seen in Alu, CR1, and ERVl. *p≤0.05, **p≤0.01, ***p≤0.001, ****p≤0.0001, ns: not significant, Wilcoxon test.

    Journal: eLife

    Article Title: Expression of most retrotransposons in human blood correlates with biological aging

    doi: 10.7554/eLife.96575

    Figure Lengend Snippet: While LINE families, MIR, and long terminal repeats (LTR) families except ERVK show lower levels of methylation in higher expression groups, this pattern is not seen in Alu, CR1, and ERVl. *p≤0.05, **p≤0.01, ***p≤0.001, ****p≤0.0001, ns: not significant, Wilcoxon test.

    Article Snippet: By overlapping Illumina microarray expression and methylation probe locations to RTE locations in RepeatMasker , we were able to identify a sufficient number of probes to calculate the expression and methylation levels of RTE classes and families.

    Techniques: Methylation, Expressing