A5091827577- Hippo pathway signaling and YAP/TAZ
- Ubiquitin and proteasome pathways
- Liver physiology and pathology
- Kruppel-like factors research
- Animal Vocal Communication and Behavior
- Medical Image Segmentation Techniques
- Polymer Surface Interaction Studies
- Advanced Image and Video Retrieval Techniques
- Electrospun Nanofibers in Biomedical Applications
- RNA Research and Splicing
- Dendrimers and Hyperbranched Polymers
- Music and Audio Processing
- Muscle Physiology and Disorders
- Speech and Audio Processing
- Fibroblast Growth Factor Research
- Educational Technology and Assessment
- Educational Research and Pedagogy
Korea University
2010-2025
Myoblast differentiation is indispensable for skeletal muscle formation and governed by the precisely coordinated regulation of a series transcription factors, including MyoD myogenin, transcriptional coregulators. TAZ (transcriptional coactivator with PDZ-binding motif) has been characterized as modulator mesenchymal stem cell into osteoblasts adipocytes through its lineage-specific master factors. In this study, we investigated whether affects myoblast differentiation, which one...
Background: Endothelial dysfunction is a systemic disorder and involved in the pathogenesis of several human diseases.Hemodynamic shear stress plays an important role vascular homeostasis including nitric oxide (NO) production.Impairment NO production endothelial cells stimulates capillarization liver sinusoidal cells, followed by hepatic stellate cell activation, inducing fibrosis.However, detailed mechanism underlying not well understood.In hepatocytes, transcriptional co-activator with...
Abstract Mitochondria are energy-generating organelles and mitochondrial biogenesis is stimulated to meet energy requirements in response extracellular stimuli, including exercise. However, the mechanisms underlying remain unknown. Here, we demonstrate that transcriptional coactivator with PDZ-binding motif (TAZ) stimulates skeletal muscle. In muscle-specific TAZ-knockout (mKO) mice, biogenesis, respiratory metabolism, exercise ability were decreased compared wild-type mice. Mechanistically,...
In response to liver injury, the undergoes a regeneration process retain its mass and function. However, mechanism has not been fully clarified. This study investigated role of transcriptional coactivator with PDZ-binding motif (TAZ), Hippo-signaling effector, in regeneration. We observed that TAZ stimulates after injury. After partial hepatectomy (PHx) or carbon tetrachloride damage, was required for increase hepatic cell proliferation resist apoptosis, which were decreased liver-specific...
Deep learning models that require vast amounts of training data struggle to achieve good animal sound classification (ASC) performance. Among recent few-shot ASC methods address the shortage problem regarding animals are difficult observe, model-agnostic meta-learning (MAML) has shown new possibilities by encoding common prior knowledge derived from different tasks into model parameter initialization target tasks. However, when on sounds is generalize due its diversity, MAML exhibits poor...
A nanoscale artificial extracellular matrix (nanoshell) formed by layer-by-layer adsorption can enhance and modulate the function of stem cells transferring biochemical stimulus to cell directly. Here, nanoshell composed fibronectin (FN) chondroitin sulfate (CS) is demonstrated promote chondrogenic differentiation mesenchymal (MSCs). The multilayer structure repeating self-assembly FN CS, its thickness be controlled through number layers. expression markers in MSCs coated with FN/CS was...
Abstract Chronic liver injury follows inflammation and fibrosis; however, the molecular mechanism underlying fibrosis has not been fully elucidated. In this study, role of ductal WW domain‐containing transcription regulator 1 (WWTR1)/transcriptional coactivator with PDZ‐binding motif (TAZ) was investigated after injury. Ductal TAZ‐knockout (DKO) mice showed decreased following a Diethyl 1,4‐dihydro‐2,4,6‐trimethyl‐3,5‐pyridinedicarboxylate (DDC) diet compared to wild‐type (WT) mice, as...
일반적으로 최적화 문제는 다양한 탐색 알고리즘을 통해 해결되어 왔다. 본 연구는 “학습을 최적해를 찾을 수 있을까?”라는 질문으로부터 출발하였으며, 기계 학습을 활용한 문제의 해결 방향을 제시한다. 이를 위해 논문에서는 심층 강화 활용하여 대표적인 문제인 8-퍼즐 문제를 해결하는 세 가지 방안을 첫 번째는 모든 상태에 대해 최적의 행동을 학습하는 것이고, 두 A* 탐색을 위한 휴리스틱 함수를 것이다. 마지막으로 특정 상태에서 목표 상태까지의 최적 경로를 학습한다. 학습 모두 알고리즘인 Q-학습을 기반으로 수행한다. 실험 결과에 의하면 대한 것은 쉽지 않은 것으로 보인다. 그러나 함수의 학습뿐만 아니라 것 또한 문제 해결을 매우 효과적임을 확인하였다.