62 research outputs found

    Accurate prediction of collection time from salivary miRNA levels.

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    <p><b>(A)</b> 11 of the total 61 identified miRNA predictors and their accuracy of prediction for sample set 3. <b>(B)</b> Sine transformed values of the average expression of 1 of the 61 CircaMiRs (miR-199b-3p) for the subjects in sample set 3 (collected at various times across 2 days).</p

    Flow chart outlining the analytic approach for the current study.

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    <p>Briefly, sample sets 1 and 2 were used to identify circadian RNA candidates (green), which were then validated in sample set 3 (blue). Relationships between CircaMiR levels and CircaMicrobes, or mRNA targets were explored (orange). The functional implications of CircaMiRs and CircaMicrobes were interrogated through annotation analyses and characterization in a cohort of children with disordered sleep (sample set 4; red). The relationship of oscillating RNA with patterns of daily activity (sleep, eating, and tooth brushing) were also investigated.</p

    Salivary miRNA levels change across time.

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    <p><b>(A)</b> Heat map clustering of expression data for the 61 miRNAs changed according to collection time in sample set 1. This set consisted of 24 samples from 4 subjects across 3 days of sampling (days 1, 3, 7) at a frequency of 2 times/day (9 am, 9 pm). <b>(B)</b> Heat map clustering of expression data for the 61 miRNAs changed according to collection time in sample set 2. This set consisted of 48 samples from 3 subjects obtained across 4 days of sampling (days 1, 5, 10, 15) at a frequency of 4 times/day (9 am, 1:30 pm, 5:30 pm, 9 pm).</p
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