转发:生命科学学术报告12月24-25日

12月24日学术报告信息:
报告题目:Our systems approach to a better management of cancer:  DNA methylation diagnostics,optimization of combination chemotherapy and universal oncolytic adenoviral therapeutics. 
报告人:朱景德 博士
时间:12月24日 下午15:00-17:00
地点:生命科学科学正规赌博十大网站app E307学术报告厅
邀请人:周大旺 教授
联系人:彭永莹
电话:2181601
报告摘要:受累于广泛的遗传和表观遗传水平上异常,呈现为时空四维高度异质性和对抗机体免疫和治疗干预的高度适应性的肿瘤实属对人类生存威胁最大的疾病。在过去半个世纪以来,关注力度持续以指数方式加大下,人类在应对肿瘤威胁的进程中有了很大进展。发展新的诊断和治疗方法的努力的低效,远远不能满足全社会对健康生活期许,引起了对学术研究政策和能力的质疑(Jones R, Wilson J. The Biomedical Bubble. https:// // www.nesta.org.uk/report/biomedical-bubble/(accessed at  at 3 August 2018)。
我将用50%的时间系统地阐述肿瘤作为一个难治性,重大疾病的根源,技术上和认知上的。然后,用余下的时间介绍我们在DNA甲基化诊断和广谱溶瘤腺病毒治疗药物研发上工作。 重点是后者, 2015年美国FDA批准了抗黑色素瘤融瘤单纯疱疹病毒制剂的临床使用(Robert M Conry, Brian Westbrook, Svetlana McKee & Timothy GrahamNorwood (2018): Talimogene Laherparepvec: First in Class Oncolytic Virotherapy, Human Vaccines & Immunotherapeutics, DOI: 10.1080/21645515.2017.1412896)我们发展起来的广谱溶瘤腺病毒技术(STSP-Oad)是一个原创性高,有巨大临床应用前景的抗肿瘤治疗的手段。我们已完成了在细胞和裸鼠移植瘤水平上开展了的临床前期的研究表明,STSP-Oad感染了的膀胱癌,肝癌,非小细胞肺癌,骨肉瘤和乳腺癌细胞中的E1A表达,病毒增殖和细胞裂解能力是正常人纤维母细胞20-100倍以上。表明此病毒制剂优异的广谱的抗肿瘤能力。而且,STSP-Oad的表达,病毒增殖和细胞裂解能力比国内批准使用的上海三维公司H101(美国Onyx015)和进入临床一期的日本公司的Telomelysin (OBP-301)约高达百倍之多.


12月25日上午学术报告信息:
报告题目:Imaging Gene Regulation in Live Cells at the Single Molecule Level
报告人:刘喆 博士
时间:12月25日 上午 10:00-11:00
地点:生命科学正规赌博十大网站app E307学术报告厅
邀请人:周大旺教授
联系人:彭永莹
电话:2181601
报告摘要:The assembly of sequence-specific enhancer-binding transcription factors (TFs) at cis-regulatory elements in the genome has long been regarded as the fundamental mechanism driving cell type–specific gene expression. However, despite extensive biochemical, genetic, and genomic studies in the past three decades, our understanding of molecular mechanisms underlying enhancer-mediated gene regulation remains incomplete. Recent advances in imaging technologies now enable direct visualization of TF-driven regulatory events and transcriptional activities at the single-cell, single-molecule level. The ability to observe the remarkably dynamic behavior of individual TFs in live cells at high spatiotemporal resolution has begun to provide novel mechanistic insights and promises new advances in deciphering causal–functional relationships of TF targeting, genome organization, and gene activation. In this talk, I will present our latest effort on developing new transcription imaging techniques and summarize various lines of research that may instigate a revision of models to describe key features of eukaryotic gene regulation.


12月25日下午学术报告信息:

报告题目:Integrating statistical evidence from big biomedical data

报告人:Yong Chen, Ph.D.

Associate Professor of Biostatistics

Department of Biostatistics, Epidemiology and Informatics

University of Pennsylvania

报告时间:12月25日 下午15:00

报告地点:生命科学正规赌博十大网站app E307学术报告厅

邀请人:李博安教授 纪志梁教授

联系人:彭永莹

联系电话:2181601

报告摘要:With the increasing availability of medical and genomic data, it is critically important to effectively combine evidence, signals, or information from multiple data sources to enable reproducible scientific discovery. In this talk, I will share several stories from my experience in integrating big biomedical data. First, in pharmacovigilance it is critical to combine data from different sources for identifying safety signals for rare adverse events. I will talk about strategies in “pooling” data from large electronic health records (EHR) databases in different hospitals where the hospitals are not allowed to share individual patient level data due to privacy reasons. Secondly, I will share our recent work on integrating EHR data and genetic data from Penn Medicine Biobank for studying complex genetic architectures and their impacts on multiple phenotypes. Lastly, I will discuss some key challenges that have negatively impacted the reproducibility of research findings using EHR data, and introduce the current efforts in addressing these challenges. Real motivating examples will be introduced and discussed throughout the talk.




XML 地图 | Sitemap 地图