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Akademický článek

An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning

Autor: Chi-Long Chen, Chi-Chung Chen, Wei-Hsiang Yu, Szu-Hua Chen, Yu-Chan Chang, Tai-I Hsu, Michael Hsiao, Chao-Yuan Yeh, Cheng-Yu Chen

Publikováno v: Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)

Deep learning for digital pathology is hindered by the extremely high spatial resolution of whole slide images (WSIs), which requires researchers to adopt patch-based methods and laborious free-hand contouring. Here, the authors develop a whole-slide

Externí odkaz: https://doaj.org/article/47ff16da572b44e18dc48650a6b00d47

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Akademický článek

Downregulation of STK4 promotes colon cancer invasion/migration through blocking β‐catenin degradation

Autor: Cheng‐Han Lin, Tai‐I Hsu, Pei‐Yu Chiou, Michael Hsiao, Wen‐Ching Wang, Yu‐Chia Chen, Jen‐Tai Lin, Jaw‐Yuan Wang, Peng‐Chan Lin, Forn‐Chia Lin, Yu‐Kai Tseng, Hui‐Chuan Cheng, Chi‐Long Chen, Pei‐Jung Lu

Publikováno v: Molecular Oncology, Vol 14, Iss 10, Pp 2574-2588 (2020)

Mammalian STE20‐like kinase 1 (MST1/STK4/KRS2) encodes a serine/threonine kinase that is the mammalian homolog of Drosophila Hippo. STK4 plays an important role in controlling cell growth, apoptosis, and organ size. STK4 has been studied in many ca

Externí odkaz: https://doaj.org/article/c86687411b294698969e3c1dc451cebc

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Akademický článek

Stationed or Relocating: The Seesawing EMT/MET Determinants from Embryonic Development to Cancer Metastasis

Autor: Chien-Hsiu Li, Tai-I Hsu, Yu-Chan Chang, Ming-Hsien Chan, Pei-Jung Lu, Michael Hsiao

Publikováno v: Biomedicines, Vol 9, Iss 9, p 1265 (2021)

Epithelial and mesenchymal transition mechanisms continue to occur during the cell cycle and throughout human development from the embryo stage to death. In embryo development, epithelial-mesenchymal transition (EMT) can be divided into three essenti

Externí odkaz: https://doaj.org/article/989b4d5d17604d48b8f07dc41faf2646

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Akademický článek

miR-105/93-3p promotes chemoresistance and circulating miR-105/93-3p acts as a diagnostic biomarker for triple negative breast cancer

Autor: Hao-Yi Li, Jui-Lin Liang, Yao-Lung Kuo, Hao-Hsien Lee, Marcus J. Calkins, Hong-Tai Chang, Forn-Chia Lin, Yu-Chia Chen, Tai-I Hsu, Michael Hsiao, Luo-Ping Ger, Pei-Jung Lu

Publikováno v: Breast Cancer Research, Vol 19, Iss 1, Pp 1-14 (2017)

Abstract Background Triple negative breast cancer (TNBC) lacks both early detection biomarkers and viable targeted therapeutics. Moreover, chemotherapy only produces 20–30% pathologic complete response. Because miRNAs are frequently dysregulated in

Externí odkaz: https://doaj.org/article/1554c9dc505642a5aaf7604114037110

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Akademický článek

Mutation of the enterohemorrhagic Escherichia coli core LPS biosynthesis enzyme RfaD confers hypersusceptibility to host intestinal innate immunity in vivo

Autor: Cheng-Ju Kuo, Jenn-Wei Chen, Hao-Chieh Chiu, Ching-Hao Teng, Tai-I Hsu, Pei-Jung Lu, Wan-Jr Syu, Sin-Tian Wang, Ting-Chen Chou, Chang-Shi Chen

Publikováno v: Frontiers in Cellular and Infection Microbiology, Vol 6 (2016)

Enterohemorrhagic Escherichia coli (EHEC) O157:H7 is an important foodborne pathogen causing severe diseases in humans worldwide. Currently, there is no specific treatment available for EHEC infection and the use of conventional antibiotics is contra

Externí odkaz: https://doaj.org/article/deebe5064b424bdebe88745fc7d4b1dc

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Akademický článek

Effects of Ranolazine, a Novel Anti-anginal Drug, on Ion Currents and Membrane Potential in Pituitary Tumor GH3 Cells and NG108-15 Neuronal Cells

Autor: Bing-Shuo Chen, Yi-Ching Lo, Hsung Peng, Tai-I Hsu, Sheng-Nan Wu

Publikováno v: Journal of Pharmacological Sciences, Vol 110, Iss 3, Pp 295-305 (2009)

Abstract.: Ranolazine, a piperazine derivative, is currently approved for the treatment of chronic angina. However, its ionic mechanisms in other types of cells remain unclear, although it is thought to be a selective blocker of late Na+ current. Thi

Externí odkaz: https://doaj.org/article/307eb70464a34d46b45b56749f0c24b3

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