1,787,556 research outputs found

    Trykk 423

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    423 med tittel: Forskrifter for bruk av motordrevne plattformtraller (verkstedtraller), -traktorer, gaffeltrucker og bilkraner (mobilkraner)423 med tittel: Forskrifter for bruk av traktorer, motorredskap, løfteinnretninger og løfteredska

    Circulating miR-423-5p expression (n = 3).

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    (A) Circulating miR-423-5p expression in CAD, AMI_T0 and AMI_T1 groups. Kruskal-Wallis statistic 12.20, p = 0.0022; Dunn’s multiple comparisons test *p≤0.05, **p≤0.005. Discriminatory power of plasma miR-423-5p. (B) Receiver operator characteristic (ROC) curves for AMI_T0 vs CAD (set as control group). (C) Receiver operator characteristic (ROC) curves for AMI_T1 vs AMI_T0 (set as control group).</p

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Tumor growth and metastasis associated with miR-423-3p <i>in vivo</i>.

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    (A–B) Levels of miR-423-3p in five NSCLC cell lines (left panel), stable miR-423-3p-overexpression H1299 cells (Lenti-Mimic), and control H1299 cells (Lenti-Control) (right panel). (C) Tumor volumes in mice subcutaneously implanted with stable miR-423-3p-overexpression H1299 cells (left panel), and representative images of endpoint tumor burden, as determined by in vivo luciferase imaging (right panel). (D) Representative H&E-stained images and Ki-67 IHC-stained images of the miR-423-3p-overexpression xenograft. (E) Representative images of tumor burden, as determined by in vivo luciferase imaging of the lung, brain, liver, adrenal gland, and bone. Endpoint H&E staining results for mice subjected to the tail vein injection of stable miR-423-3p-overexpression H1299 cells. Data are presented as the means ± SD of three experiments. ** P P < 0.05.</p

    MiR-423-5p expression in PBMCs (n = 3).

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    (A) MiR-425-5p expression in PBMCs of CAD, AMI_T0 and AMI_T1 patients. Kruskal-Wallis statistic 11.93, p≤0.005. Discriminatory power of miR-423-5p expression in PBMCs. (B) Receiver operator characteristic (ROC) curves for AMI_T1 vs CAD (set as control group). (C) Receiver operator characteristic (ROC) curves for AMI_T1 vs AMI_T0 (set as control group).</p

    Putative target genes of miR-4270 and miR-423-3p.

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    (A–B) The predicted miR-4270 binding site in the 3’-UTR of MMP-19 (left panel), and the predicted miR-423-3p binding site in the 3’-UTR of P21 (right panel). (C–D) Quantification of (C) MMP-19 mRNA expression and (D) P21 mRNA expression after the transfection of the miRNA mimic or inhibitor. (E–F) Quantification of (E) MMP-19 protein expression and (F) P21 protein expression after the transfection of the miRNA mimic or inhibitor. (G–H) Results of luciferase reporter assay, after (G) the co-transfection of cells with miR-4270 and the pGL3 construct containing MMP19 with either a WT or a MT 3’-UTR region, or (H) the co-transfection of cells with miR-423-3p and the pGL3 construct containing P21 with either a WT or a MT 3’-UTR region. Results were normalized to those of cells co-transfected with the negative control mimic (NC) and the pGL3 construct containing either a WT or a MT MMP19 or P21. (I–J) Immunohistochemistry of MMP-19 and P21 in the tumor tissues of nude mice treated with (I) the miR-4270-knockdown xenograft or (J) the miR-423-3p-overexpression xenograft. Data are presented as the means ± SD of three experiments. ** P < 0.01.</p

    Rescue assay of miR-4270 and miR-423-3p.

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    (A) The mRNA and protein expression levels of MMP-19. (B) The results of the migration assay after the co-transfection of cells with the miR-4270 mimic and the pEGFP-C1 plasmid containing an MMP-19 CDS sequence. (C) MMP-19 protein expression, as measured by immunohistochemical staining, in LAD samples. (D) Spearman correlation analysis showing the negative correlation between MMP-19 and miR-4270 expression. (E) The mRNA and protein expression levels of P21. (F) The results of the migration assay after the co-transfection of cells with the miR-423-3p mimic and pEGFP-C1 plasmid containing a P21 CDS sequence. (G) P21 protein expression, as measured by immunohistochemical staining, in LAD samples. (H) Spearman correlation analysis showing the negative correlation between P21 and miR-423-3p expression. Data are presented as the means ± SD of three experiments. ** P < 0.01.</p
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