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expression microarray probe ilmn_1807807  (Illumina Inc)


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    Illumina Inc expression microarray probe ilmn_1807807
    Expression Microarray Probe Ilmn 1807807, 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+probes/expression+microarray+probe+ilmn+1807807/us12291749-679-18-9
    Average 90 stars, based on 1 article reviews
    expression microarray probe ilmn_1807807 - by Bioz Stars, 2026-10
    90/100 stars

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    Microarray:

    Article Title: Peroxisome Proliferator Activated Receptor Agonists Modulate Transposable Element Expression in Brain and Liver
    Article Snippet: .. We mapped Illumina microarray probes to genomic locations that correspond to different classes of TEs and used this information to study the effects of PPAR agonists on expression of TEs in the amygdala, PFC, and liver of male C57Bl/6J mice. ..

    Article Title: A Gene Expression Classifier from Whole Blood Distinguishes Benign from Malignant Lung Nodules Detected by Low Dose Computed Tomography
    Article Snippet: Supplementary Table S3 summarizes the sources of the final list of the candidate biomarkers selected for the custom NanoString panel. .. The NanoString probes were then designed to target the same or closely located transcriptome regions as those targeted by the Illumina microarray probes whenever possible. .. We first assessed how well the classification accuracies had been retained between the Illumina and NanoString platforms by re-assaying 199 of the samples from the microarray training set.

    Article Title: A prospective blood RNA signature for tuberculosis disease risk
    Article Snippet: .. For each downloaded dataset, the Illumina 1032 microarray probes for all genes present in the set of reference splice junctions (Supplementary 1033 The resulting 1042 Zak et al. Clean version 53 pages on 8x11. ..

    Article Title: Disentangling tumorigenesis-associated DNA methylation changes in colorectal tissues from those associated with ageing.
    Article Snippet: Physiological ageing and tumorigenesis are both associated with epigenomic alterations in human tissue cells, the most extensively investigated of which entails de novo cytosine methylation (i.e., hypermethylation) within the CpG dinucleotides of CpG islands.. Genomic regions that become hypermethylated during tumorigenesis are generally believed to overlap regions that acquire methylation in normal tissues as an effect of ageing.. To define the extension of this overlap, we analysed the DNA methylomes of 48 large-bowel tissue samples taken from women of different ages during screening colonoscopy: 18 paired samples of normal and lesional tissues from donors harbouring a precancerous lesion and 12 samples of normal mucosa from tumourfree donors.

    Article Title: Identification of Reduced Host Transcriptomic Signatures for Tuberculosis Disease and Digital PCR-Based Validation and Quantification
    Article Snippet: .. The Illumina microarray probes and the RT-dPCR TaqMan assays are provided in . ..

    Article Title: Genome-wide expression and response to exposure-based psychological therapy for anxiety disorders
    Article Snippet: .. Illumina microarray probes were annotated using the Bioconductor package lumiHumanIDmapping. ..

    Expressing:

    Article Title: Peroxisome Proliferator Activated Receptor Agonists Modulate Transposable Element Expression in Brain and Liver
    Article Snippet: .. We mapped Illumina microarray probes to genomic locations that correspond to different classes of TEs and used this information to study the effects of PPAR agonists on expression of TEs in the amygdala, PFC, and liver of male C57Bl/6J mice. ..

    other:

    Article Title: Prediction of therapeutic response in inflammatory conditions
    Article Snippet: The microarray analysis was restricted only on those probes that were still considered as valid (Illumina in-house data).



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    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

    Set Enrichment Analysis (GSEA) of A549 Cell Line Treated with 5-Aza. The running ES indicates the degree to which this gene set is overrepresented at the top or bottom of the entire ranked list of genes. GSEA plots are a ranked list of genes from microarray analysis, sorted by their correlation with treatment effect. The color code bar (red to blue) represents the correlation of gene expression with the phenotype of interest, with red indicating a positive correlation and blue indicating a negative correlation. The leading-edge subset of genes, those contributing most to the ES, are highlighted within this list.

    Journal: Medicine and Pharmacy Reports

    Article Title: 5-Azacytidine treatment inhibits the development of lung cancer models via epigenetic reprogramming and activation of cellular pathways with anti-tumor activity

    doi: 10.15386/mpr-2777

    Figure Lengend Snippet: Set Enrichment Analysis (GSEA) of A549 Cell Line Treated with 5-Aza. The running ES indicates the degree to which this gene set is overrepresented at the top or bottom of the entire ranked list of genes. GSEA plots are a ranked list of genes from microarray analysis, sorted by their correlation with treatment effect. The color code bar (red to blue) represents the correlation of gene expression with the phenotype of interest, with red indicating a positive correlation and blue indicating a negative correlation. The leading-edge subset of genes, those contributing most to the ES, are highlighted within this list.

    Article Snippet: Prior to hybridizatiion, the microarray probes (cRNA-Cy3) underwent purification using the RNeasy Mini Kit (Qiagen, Germany).

    Techniques: Microarray, Gene Expression

    Comparative analysis of gene expression changes from microarray and qPCR analysis.

    Journal: Medicine and Pharmacy Reports

    Article Title: 5-Azacytidine treatment inhibits the development of lung cancer models via epigenetic reprogramming and activation of cellular pathways with anti-tumor activity

    doi: 10.15386/mpr-2777

    Figure Lengend Snippet: Comparative analysis of gene expression changes from microarray and qPCR analysis.

    Article Snippet: Prior to hybridizatiion, the microarray probes (cRNA-Cy3) underwent purification using the RNeasy Mini Kit (Qiagen, Germany).

    Techniques: Gene Expression, Microarray, Biomarker Discovery