8 research outputs found

    Genotype data of Chenghua pigs and Neijiang pigs.

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    The genotype datasets of 21 Chenghua pigs and 49 Neijiang pigs.</p

    Genotype data of Tibetan pigs

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    The genotype datasets of high-altitude and low-altitude Tibetan pigs. After removing duplicates, 149 samples were remaining.</p

    Lactation-Related MicroRNA Expression Profiles of Porcine Breast Milk Exosomes

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    <div><p>Breast milk is the primary source of nutrition for newborns, and is rich in immunological components. MicroRNAs (miRNAs) are present in various body fluids and are selectively packaged inside the exosomes, a type of membrane vesicles, secreted by most cell types. These exosomal miRNAs could be actively delivered into recipient cells, and could regulate target gene expression and recipient cell function. Here, we analyzed the lactation-related miRNA expression profiles in porcine milk exosomes across the entire lactation period (newborn to 28 days after birth) by a deep sequencing. We found that immune-related miRNAs are present and enriched in breast milk exosomes (<em>p</em><10<sup>−16</sup>, <em>χ</em><sup>2</sup> test) and are generally resistant to relatively harsh conditions. Notably, these exosomal miRNAs are present in higher numbers in the colostrums than in mature milk. It was higher in the serum of colostrum-only fed piglets compared with the mature milk-only fed piglets. These immune-related miRNA-loaded exosomes in breast milk may be transferred into the infant body via the digestive tract. These observations are a prelude to in-depth investigations of the essential roles of breast milk in the development of the infant’s immune system.</p> </div

    Lactation-related expression patterns of 13 abundant immune-related miRNAs.

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    <p>The data are normally distributed (Kolmogorov-Smirnov test, <i>p</i>>0.05). Pearson correlation was used to determine the relation of miRNAs expression changes between the q-PCR and the deep sequencing approaches. Values are means±SD.</p

    Differences of circulating metabolic indicators and immune-related miRNAs in serum between the colostrum-only and the mature milk-only fed piglets.

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    <p>(A) Seven representative circulating indicators of metabolism. (B) Thirteen well-characterized immune-related miRNAs. The data are normally distributed (Kolmogorov-Smirnov test, <i>p</i>>0.05). The statistical significance was calculated by Student’s <i>t</i>-test (<i>n</i> = 6 per group). Values are means±SD. CF: colostrum-only feeding; MF: mature milk-only feeding.</p

    Lactation-related miRNA expression profiles.

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    <p>(A) Distribution of lactation-related pre-miRNAs. Out of 1,527 pre-miRNAs deposited in miRBase 18.0, 84 (5.50%) pre-miRNAs have been designated as immunopathology-related pre-miRNAs, based on annotation in the Pathway Central database (SABiosciences, MD, USA). These immune-related pre-miRNAs are enriched in each milk exosomal miRNA library. <i>χ</i><sup>2</sup> test (**<i>p</i><10<sup>−16</sup>): Numbers of immunopathology-related miRNAs and others detected in milk exosomes compared with the total entries in miRBase 18.0. The three biological replicates at 0 days are denoted by 0d-1, -2 and -3, respectively. (B) Hierarchical clustering and heat map matrix of pairwise Spearman correlations of the counts of 234 unique miRNAs between eight exosomal miRNA libraries. (C) Top 10 unique miRNAs with the highest expression levels in milk exosomal miRNA libraries. Plot of the unique miRNAs versus their % in total counts of all unique miRNAs for each library. The dashed vertical lines represent the accumulative % of the top 10 unique miRNAs in total counts of all unique miRNAs. Seven miRNAs that are present in the top 10 miRNAs in all six libraries are connected by lines.</p

    Evidence of miRNA-loaded exosomes in porcine breast milk.

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    <p>(A) 3D AFM image of isolated milk exosomes. (B) The line profile of AFM image for a milk exosome. X- and Y-axes are the width and height of a porcine milk exosome, respectively. (C) RNA from porcine breast milk exosomes was detected using Agilent Bioanalyzer 2100.</p
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