1,727,825 research outputs found
Relative expression of miR-4286 gene targets after specific miR-4286 inhibitor application to BRO melanoma cells.
No full textRelative expression of miR-4286 gene targets after specific miR-4286 inhibitor application to BRO melanoma cells.</p
Relative expression of miR-4286 gene targets after specific miR-4286 inhibitor application to SK-MEL-1 melanoma cells.
No full textRelative expression of miR-4286 gene targets after specific miR-4286 inhibitor application to SK-MEL-1 melanoma cells.</p
Expression levels of miR-4286 in BRO and SK-MEL-1 melanoma cells estimated by real-time PCR after miR-4286 inhibitor application (normalized by the geometric mean of U6snRNA and RNU6B expression levels).
No full textExpression levels of miR-4286 in BRO and SK-MEL-1 melanoma cells estimated by real-time PCR after miR-4286 inhibitor application (normalized by the geometric mean of U6snRNA and RNU6B expression levels).</p
Antiproliferative and Pro-Apoptotic Effects of MiR-4286 Inhibition in Melanoma Cells
No full textIntroductionMicroRNAs are essential regulators of gene expression at the post-transcriptional level. Their expression is altered in cancer tissues, and evaluation of these alterations is considered a promising tool used to diagnose and identify prognostic markers.Materials and methodsThe microRNA expression profiles of formalin-fixed, paraffin-embedded melanoma and melanocytic nevi samples were estimated with a microarray and subsequently validated by real-time PCR. Melanoma cells were transfected with miR-4286 inhibitor to evaluate the influence of this microRNA on the viability, proliferation, apoptosis, migration, and invasion of melanoma cells.ResultsThe microarray revealed that the expression of 1,171 microRNAs was altered in melanoma samples compared to melanocytic nevi. Real-time PCR validation experiments found the microRNA expression levels to correspond to the melanoma/melanocytic nevi microarray results. The pathway analysis identified 52 modulated pathways in melanoma. Moreover, the application of miR-4286 inhibitor to BRO melanoma cells resulted in a 2.6-fold increase in the apoptosis rate and a 1.7-fold decrease in the cell proliferation/viability but did not affect the invasiveness and migration of these cells. Furthermore, the use of miR-4286 inhibitor altered the mRNA expression of several miR-4286 gene targets: folylpolyglutamate synthase, RNA polymerase I-specific transcription initiation factor, apelin, G-protein-coupled receptor 55, and high-mobility group A1 protein, which have been implicated in cell proliferation/apoptosis regulation. Lastly, the transiently transfected SK-MEL-1 cells with miR-4286 inhibitor decreased proliferation rate and modulated folylpolyglutamate synthase rates of these cells.ConclusionOur results demonstrate that miR-4286 mediates proliferation and apoptosis in melanoma cells, these findings may represent a novel mechanism underlying these processes.</div
Linked collectors and determiners for: Universidad de San Carlos de Guatemala - Colección de Porifera.
No full textNatural history specimen data linked to collectors and determiners held within, "Universidad de San Carlos de Guatemala - Colección de Porifera". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/7a0f4ed3-8ba7-4286-9edd-4408c80380ee">https://bionomia.net/dataset/7a0f4ed3-8ba7-4286-9edd-4408c80380ee</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7a0f4ed3-8ba7-4286-9edd-4408c80380ee">https://gbif.org/dataset/7a0f4ed3-8ba7-4286-9edd-4408c80380ee</a>. Formatted as a Frictionless Data package
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Effect of anti-miR-4286 on melanoma cell apoptosis.
No full text(A) Flow cytometry showed a significant increase in apoptotic BRO melanoma cells after miR-4286 inhibition. (B) The percentage of viable, early apoptotic, late apoptotic/necrotic BRO cells. (C) Fluorescent microscopy of alive and apoptotic BRO cells: viable cell nuclei are colored blue, and the cytoplasm of apoptotic caspase-3+/7+ cells is colored green. *—significant difference compared to the apoptosis rate of negative control cells. (D) Flow cytometry revealed no changes in apoptosis of SK-MEL-1 cells after miR-4286 inhibition. (E) The percentage of viable, early apoptotic, late apoptotic/necrotic SK-MEL-1 cells. (F) Fluorescent microscopy of alive and apoptotic SK-MEL-1 cells: viable cell nuclei are colored blue, and the cytoplasm of caspase-3+/7+ apoptotic cells is colored green.</p
Linked collectors and determiners for: Digitalización y sistematización de las colecciones biológicas del INECOL (Jardín botánico).
No full textNatural history specimen data linked to collectors and determiners held within, "Digitalización y sistematización de las colecciones biológicas del INECOL (Jardín botánico)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/ed80a247-379f-4286-a348-63da32c9c047">https://bionomia.net/dataset/ed80a247-379f-4286-a348-63da32c9c047</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/ed80a247-379f-4286-a348-63da32c9c047">https://gbif.org/dataset/ed80a247-379f-4286-a348-63da32c9c047</a>. Formatted as a Frictionless Data package
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