1.Induction of Nuclear Enlargement and Senescence by Sirtuin Inhibitors in Glioblastoma Cells.
Kyoung B YOON ; Kyeong R PARK ; Soo Y KIM ; Sun Young HAN
Immune Network 2016;16(3):183-188
Sirtuin family members with lysine deacetylase activity are known to play an important role in anti-aging and longevity. Cellular senescence is one of the hallmarks of aging, and downregulation of sirtuin is reported to induce premature senescence. In this study, we investigated the effects of small-molecule sirtuin inhibitors on cellular senescence. Various small molecules such as tenovin-1 and EX527 were employed for direct sirtuin activity inhibition. U251, SNB-75, and U87MG glioblastoma cells treated with sirtuin inhibitors exhibited phenotypes with nuclear enlargement. Furthermore, treatment of rat primary astrocytes with tenovin-1 also increased the size of the nucleus. The activity of senescence-associated β-galactosidase, a marker of cellular senescence, was induced by tenovin-1 and EX527 treatment in U87MG glioblastoma cells. Consistent with the senescent phenotype, treatment with tenovin-1 increased p53 expression in U87MG cells. This study demonstrated the senescence-inducing effect of sirtuin inhibitors, which are potentially useful tools for senescence research.
Aging*
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Animals
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Astrocytes
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Cell Aging
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Down-Regulation
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Glioblastoma*
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Humans
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Longevity
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Lysine
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Phenotype
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Rats
2.Technology trends and applications of deep learning in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency
Jonghyon YI ; Ho Kyung KANG ; Jae-Hyun KWON ; Kang-Sik KIM ; Moon Ho PARK ; Yeong Kyeong SEONG ; Dong Woo KIM ; Byungeun AHN ; Kilsu HA ; Jinyong LEE ; Zaegyoo HAH ; Won-Chul BANG
Ultrasonography 2021;40(1):7-22
In this review of the most recent applications of deep learning to ultrasound imaging, the architectures of deep learning networks are briefly explained for the medical imaging applications of classification, detection, segmentation, and generation. Ultrasonography applications for image processing and diagnosis are then reviewed and summarized, along with some representative imaging studies of the breast, thyroid, heart, kidney, liver, and fetal head. Efforts towards workflow enhancement are also reviewed, with an emphasis on view recognition, scanning guide, image quality assessment, and quantification and measurement. Finally some future prospects are presented regarding image quality enhancement, diagnostic support, and improvements in workflow efficiency, along with remarks on hurdles, benefits, and necessary collaborations.