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Simulation of Ultra-slow Oscillations Using the Integrate and Fire Neuron Model

Engineering（科研） 2012年第10期4卷 65-67页

作者： Danny Ng MokSiew -Ying Chan Siow -Cheng goh sing -yau Department of Mechanical and Material Engineering University Tunku Abdul Rahman UTAR Kuala Lumpur Malaysia Department of Mechatronics and BioMedical Engineering University Tunku Abdul Rahman UTAR Kuala Lumpur Malaysia

The Integrate and Fire (IF) neuron model wasusedto simulate ultra-slow oscillations that were observed in cortical cultures. Simulation of a network with 2 sub-networks is conducted in this study. We introduced an additional equation that governs the generation and dissipation of an inhibitory property to each of the ***-networks that fire at different rate are generated from the simulation. The network activity from the simulation oscillates at frequencies that are comparable to ultra-slow oscillations observed in cortical cultures.

关键词： Integrate and Fire Neurons Ultra-slow Oscillation Simulation

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Dynamic phenotypic heterogeneity and the evolution of multiple RNA subtypes in hepatocellular carcinoma:the PLANET study

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National Science Review 2022年第3期9卷 96-109页

作者： Weiwei Zhai Hannah Lai Neslihan Arife Kaya Jianbin Chen Hechuan Yang Bingxin Lu Jia Qi Lim Siming Ma Sin Chi Chew Khi Pin Chua Jacob Josiah Santiago Alvarez Pauline Jieqi Chen Mei Mei Chang Lingyan Wu Brian K.P.goh Alexander Yaw-Fui Chung Chung Yip Chan Peng Chung Cheow Ser Yee Lee Juinn Huar Kam Alfred Wei-Chieh Kow Iyer Shridhar Ganpathi Rawisak Chanwat Jidapa Thammasiri Boon Koon Yoong Diana Bee-Lan Ong Vanessa H.de Villa Rouchelle D.Dela Cruz Tracy Jiezhen Loh Wei Keat Wan Zeng Zeng Anders Jacobsen Skanderup Yin Huei Pang Krishnakumar Madhavan Tony Kiat-Hon Lim Glenn Bonney Wei Qiang Leow Valerie Chew Yock Young Dan Wai Leong Tam Han Chong Toh Roger Sik-Yin Foo Pierce Kah-Hoe Chow Genome Institute of singapore Agency for Science Technology and Research Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Center for Excellence in Animal Evolution and Genetics Chinese Academy of Sciences School of Biological Sciences Nanyang Technological University Division of Biosciences Faculty of Life Sciences Division of Surgery and Surgical Oncology National Cancer Centre Department of Hepato-Pancreato-Biliary and Transplant Surgery Singapore General Hospital Division of Hepatobiliary and Pancreatic Surgery Department of Surgery University Surgical Cluster National University Health System Hepato-Pancreato-Biliary Surgery Unit Department of Surgery National Cancer Institute Division of Pathology National Cancer Institute Department of Surgery Faculty of Medicine University of Malaya Department of Surgery and Center for Liver Disease Management and Transplantation The Medical City 13. Department of Laboratories The Medical City Department of Pathology Singapore General Hospital Institute for Infocomm Research ASTAR Department of Pathology National University Health System Translational Immunology Institute (TII) Sing Health Duke-NUS Academic Medical Centre Division of Gastroenterology and Hepatology University Medicine Cluster National University Hospital Department of Biochemistry Yong Loo Lin School of Medicine National University of Singapore Cancer Science Institute of singapore National University of Singapore Division of Medical Oncology National Cancer Center Singapore Cardiovascular Research Institute National University of Singapore National University Healthcare System singhealth-Duke-NUS Academic Surgery Program Duke-NUS Graduate Medical School Institute of Molecular and Cell Biology Agency for Science Technology and Research

Intra-tumor heterogeneity(ITH) is a key challenge in cancer treatment, but previous studies have focused mainly on the genomic alterations without exploring phenotypic(transcriptomic and immune)heterogeneity. Using one of the largest prospective surgical cohorts for hepatocellular carcinoma(HCC)with multi-region sampling, we sequenced whole genomes and paired transcriptomes from 67 HCC patients(331 samples). We found that while genomic ITH was rather constant across stages, phenotypic ITH had a very different trajectory and quickly diversified in stage Ⅱ patients. Most strikingly, 30% of patients were found to contain more than one transcriptomic subtype within a single tumor. Such phenotypic ITH was found to be much more informative in predicting patient survival than genomic ITH and explains the poor efficacy of single-target systemic therapies in HCC. Taken together, we not only revealed an unprecedentedly dynamic landscape of phenotypic heterogeneity in HCC, but also highlighted the importance of studying phenotypic evolution across cancer types.

关键词： NADH oxidase H2O2 production oxidative phosphorylation

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