1,740,179 research outputs found
Additional file 5 of RUNX3-mediated circDYRK1A inhibits glutamine metabolism in gastric cancer by up-regulating microRNA-889-3p-dependent FBXO4
Additional file 5: Fig. S4. Expression of miR-889-3p in AGS and HGC-27 cells. A, Expression of miR-889-3p in HGC-27 cells treated with circDYRK1A measured by RT-qPCR. B, Expression of miR-889-3p in AGS cells treated with sh-circDYRK1A measured by RT-qPCR. The cell experiment was repeated three times. * p < 0.05 vs. HGC-27 cells treated with Vector or AGS cells treated with sh-NC
Grand challenges in global mental health.
A consortium of researchers, advocates and clinicians announces here research priorities for improving the lives of people with mental illness around the world, and calls for urgent action and investment
Additional file 7 of RUNX3-mediated circDYRK1A inhibits glutamine metabolism in gastric cancer by up-regulating microRNA-889-3p-dependent FBXO4
Additional file 7: Fig. S6. Expression of FBXO4 in AGS and HGC-27 cells. A, Expression of FBXO4 in HGC-27 cells treated with circDYRK1A or combined with miR-889-3p mimic determined by RT-qPCR. B, Expression of FBXO4 in AGS cells treated with sh-circDYRK1A or combined with miR-889-3p inhibitor determined by RT-qPCR. The cell experiment was repeated three times. * p < 0.05
Additional file 6 of RUNX3-mediated circDYRK1A inhibits glutamine metabolism in gastric cancer by up-regulating microRNA-889-3p-dependent FBXO4
Additional file 6: Fig. S5. miR-889-3p reverses the inhibitory effect of circDYRK1A on malignant phenotypes of GC cells. HGC-27 cells were transduced with miR-889-3p mimic and/or circDYRK1A, and AGS cells were transduced with miR-889-3p inhibitor and/or sh-circDYRK1A. A, Expression of circDYRK1A and miR-889-3p in AGS and HGC-27 cells determined by RT-qPCR. B, Proliferation of AGS and HGC-27 cells detected by EdU assay C, Migration of AGS and HGC-27 cells detected by Transwell assay. D, Invasion of AGS and HGC-27 cells detected by Transwell assay. E, Expression of glutamine in AGS and HGC-27 cells measured using the kit. F, Expression of glutamic acid in AGS and HGC-27 cells measured using the kit. G, Expression of α-KG in AGS and HGC-27 cells measured using the kit. H, Protein levels of GLS and GDH in AGS and HGC-27 cells measured by Western blot analysis. The cell experiment was repeated three times. * p < 0.05
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Mandurama photograph collection [889] [picture] /
Also available in an electronic version via the Internet at: http://nla.gov.au/nla.pic-an8526486-889
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