transcriptome tagged posts

New, Highly Precise ‘Clock’ can measure Biological Age

Scientists Create 'Clock' That Measures Biological Age
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Scientists have developed a method that can determine an organism’s biological age with unprecedented precision. Researchers expect new insights into how the environment, nutrition, and therapies influence the aging process.

Using the model organism Caenorhabditis elegans, researchers at the University of Cologne have developed an ‘aging clock’ that reads the biological age of an organism directly from its gene expression, the transcriptome...

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Gene Signature could lead to a new way of diagnosing Lyme Disease

Longitudinal differential gene expression and pathway analysis of Lyme disease. (A) Bar chart of the numbers of genes found to be upregulated or downregulated at Lyme disease diagnosis (V1), 3 weeks post-treatment (V2, after a standard course of antibiotics), and 6 months post-treatment (V5). (B) Venn diagram representing the number of DEGs between Lyme disease patients and controls at three time points. (C) Principal component analysis (PCA) of Lyme disease patients and controls at three time points on the basis of 1,759 unique DEGs identified at V1, V2, and V5. The asterisk represents a subject in the control group who looks like an outlier in the PCA plot but is not shown to be an outlier by PCA analysis of the control samples (see Fig. S2 in the supplemental material). Note that the PC3 axis in the PCA plot accounts for only 8% of the variance in the data set. (D to F) Top 10 disease and functional categories (D), top 10 canonical pathways (E), and top 10 upstream regulators (excluding drug categories) (F) predicted to be involved in Lyme disease at (V1, V2, and V5) with categories, pathways, and genes ranked by the negative log of the P value of the enrichment score. The color scheme is based on Z scores, with activation in orange, inhibition in blue, and undetermined directionality in gray. The red line represents the designated significance threshold (P < 0.05).

Longitudinal differential gene expression and pathway analysis of Lyme disease. (A) Bar chart of the numbers of genes found to be upregulated or downregulated at Lyme disease diagnosis (V1), 3 weeks post-treatment (V2, after a standard course of antibiotics), and 6 months post-treatment (V5). (B) Venn diagram representing the number of DEGs between Lyme disease patients and controls at three time points. (C) Principal component analysis (PCA) of Lyme disease patients and controls at three time points on the basis of 1,759 unique DEGs identified at V1, V2, and V5. The asterisk represents a subject in the control group who looks like an outlier in the PCA plot but is not shown to be an outlier by PCA analysis of the control samples (see Fig. S2 in the supplemental material)...

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