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Comparison of Ectopic Gene Expression Methods in Rat Neural Stem Cells
Kim, Woosuk,Kim, Ji Hyeon,Kong, Sun-Young,Park, Min-Hye,Sohn, Uy Dong,Kim, Hyun-Jung The Korean Society of Pharmacology 2013 The Korean Journal of Physiology & Pharmacology Vol.17 No.1
Neural stem cells (NSCs) have the ability to proliferate and differentiate into various types of cells that compose the nervous system. To study functions of genes in stem cell biology, genes or siRNAs need to be transfected. However, it is difficult to transfect ectopic genes into NSCs. Thus to identify the suitable method to achieve high transfection efficiency, we compared lipid transfection, electroporation, nucleofection and retroviral transduction. Among the methods that we tested, we found that nucleofection and retroviral transduction showed significantly increased transfection efficiency. In addition, with retroviral transduction of Ngn2 that is known to induce neurogenesis in various types of cells, we observed facilitated final cell division in rat NSCs. These data suggest that nucleofection and retroviral transduction provide high efficiency of gene delivery system to study functions of genes in rat NSCs.
Kim, Sangryun,Nam, Kwan Woo,Lee, Soyeon,Cho, Woosuk,Kim, Joo‐,Seong,Kim, Byung Gon,Oshima, Yoshifumi,Kim, Ju‐,Sik,Doo, Seok‐,Gwang,Chang, Hyuk,Aurbach, Doron,Choi, Jang Wook WILEY‐VCH Verlag 2015 Angewandte Chemie Vol.54 No.50
<P><B>Abstract</B></P><P>The phase transition of layered manganese oxides to spinel phases is a well‐known phenomenon in rechargeable batteries and is the main origin of the capacity fading in these materials. This spontaneous phase transition is associated with the intrinsic properties of manganese, such as its size, preferred crystal positions, and reaction characteristics, and it is therefore very difficult to avoid. The introduction of crystal water by an electrochemical process enables the inverse phase transition from spinel to a layered Birnessite structure. Scanning transmission electron microscopy can be used to directly visualize the rearrangement of lattice atoms, the simultaneous insertion of crystal water, the formation of a transient structure at the phase boundary, and layer‐by‐layer progression of the phase transition from the edge. This research indicates that crystal water intercalation can reverse phase transformation with thermodynamically favored directionality.</P>
Kim, Myoung-Hwan,Choi, Jeonghoon,Yang, Jinhee,Chung, Woosuk,Kim, Ji-Hyun,Paik, Sang Kyoo,Kim, Karam,Han, Seungnam,Won, Hyejung,Bae, Young-Soo,Cho, Suk-Hee,Seo, Jinsoo,Bae, Yong Chul,Choi, Se-Young,Kim The Society 2009 The Journal of neuroscience Vol.29 No.5
<P>IRSp53 is an adaptor protein that acts downstream of Rac and Cdc42 small GTPases and is implicated in the regulation of membrane deformation and actin filament assembly. In neurons, IRSp53 is an abundant postsynaptic protein and regulates actin-rich dendritic spines; however, its in vivo functions have not been explored. We characterized transgenic mice deficient of IRSp53 expression. Unexpectedly, IRSp53(-/-) neurons do not show significant changes in the density and ultrastructural morphologies of dendritic spines. Instead, IRSp53(-/-) neurons exhibit reduced AMPA/NMDA ratio of excitatory synaptic transmission and a selective increase in NMDA but not AMPA receptor-mediated transmission. IRSp53(-/-) hippocampal slices show a markedly enhanced long-term potentiation (LTP) with no changes in long-term depression. LTP-inducing theta burst stimulation enhances NMDA receptor-mediated transmission. Spatial learning and novel object recognition are impaired in IRSp53(-/-) mice. These results suggest that IRSp53 is involved in the regulation of NMDA receptor-mediated excitatory synaptic transmission, LTP, and learning and memory behaviors.</P>
딥러닝 기반의 복원 네트워크을 사용한 위상 홀로그램 비디오 압축 방법
김우석(Woosuk Kim),강지원(Ji-Won Kang),오관정(Kwan-Jung Oh),김진웅(Jin-Woong Kim),김동욱(Dong-Wook Kim),서영호(Young-Ho Seo) 한국방송·미디어공학회 2021 한국방송공학회 학술발표대회 논문집 Vol.2021 No.6
본 연구는 딥러닝 기반의 복원 모델을 사용하여, 비디오 압축을 통해 변질된 위상 홀로그램의 화질을 복원하는 방법을 제안한다. 압축 효율을 위해 위상 홀로그램의 해상도를 감소시킨 후 압축한다. 원래의 해상도로 되돌린 홀로그램을 딥러닝 모델을 사용하여 복원한다. 복원된 위상 홀로그램은 원본 홀로그램을 압축한 것보다 동일한 BPP에서 더 높은 PSNR을 보인다.