《中国科学院上海营养与健康研究所固定学术报告:血液干细胞代谢调控规律》

相关报告
  • 《中国科学院上海营养与健康研究所固定学术报告:Finding Novel exRNA Biomarkers for the Liquid Biopsy of Cancer》

    • 来源专题:中国科学院文献情报生命健康领域集成服务门户
    • 编译者:江洪波
    • 发布时间:2020-03-21
    • 报告人:鲁志教授 清华大学生命科学院 题目:Finding Novel exRNA Biomarkers for the Liquid Biopsy of Cancer 时间:2019年12月18日下午2:00 地点:生科大楼报告厅 主持人:王泽峰研究员,计算生物学重点实验室 报告人简介:鲁志博士,清华大学生命科学学院研究员,博士生导师,“生物信息学”教育部重点实验室副主任,国家“优秀青年”基金和“霍英东”青年基金获得者。2003年获中国科学技术大学生命学院学士学位,2008年获美国罗切斯特大学的生物物理学博士学位,2008-2010年在耶鲁大学从事生物信息学的博士后研究, 2011年加入清华大学建立生物信息学实验室。鲁志博士的实验室主要从事跟非编码RNA有关的生物信息学研究,包括(1)RNA调控和(2)精准医疗两个重点方向。发表在国际重要期刊文章50余篇(Science, Cell Research, Genome Biology, Nature Communications, NAR等),总引用超过10000次。其中以通讯作者身份发表的20余篇(影响因子超过10的11篇)。曾获清华大学“学术新人奖”,入选教育部“新世纪人才计划”,入选清华大学“221基础研究青年人才”计划。 Abstract:Recent genomic studies suggest that potential novel long noncoding RNAs (lncRNAs) are specifically expressed and far outnumber annotated ncRNA sequences. To identify and characterize novel lncRNAs in sequencing data from new samples, we have developed a bioinformatics software package (http://software.ncrnalab.org) that includes 3 modules: RNAfinder, RNAstructurome and RNAtarget. We have applied them to many biological (i.e., plant) and medical (i.e., cancer) applications. For instance, based on RNAfinder, we have identified ~8K novel lncRNAs in HCC (liver cancer) samples. Many of them were further validated as metastasis associated lncRNA biomarkers. Currently, the main research focus of our lab is to identify and study novel extra-cellular RNA (exRNA) biomarkers in bio-fluids associated with tumorigenesis and cancer development, using machine learning (AI) approaches and high-throughput sequencing technologies. By analyzing dynamic expression and variants, we hope to find novel exRNA species related to tumorigenesis and/or cancer progression from cell-free plasma/serum, micro-vesicles, exosomes, and RNPs. The identified exRNA biomarkers are applied to the most lethal cancer in China. Finally, we will deliver an accurate, reproducible and robust method for cancer early diagnosis and/or prognosis.
  • 《中国科学院上海营养与健康研究所固定学术报告:Decode and recode the complex genome》

    • 来源专题:中国科学院文献情报生命健康领域集成服务门户
    • 编译者:江洪波
    • 发布时间:2019-11-16
    • Topic: Decode and recode the complex genome Speaker: Prof. Li YANG (杨力) CAS Key Lab of Computational Biology Time: 16:00, Nov 20th (Wednesday) Place: Lecture Hall, Main Building, 320 Yueyang Road Abstract: Dr. Li Yang’s lab focuses on integrating novel computational pipelines/algorithms with deep sequencing technologies to study a variety of new types of long noncoding RNAs, including circular RNAs, to uncover cross-talks between different types of RNA modifications/editing, and to develop new genome editing toolkits at single nucleotide resolution. Recently, by developing and applying a series of new RNA-seq strategies and specific computational pipelines for circRNA analyses, Dr. Yang’s lab has shown that circRNAs are widely expressed in transcriptomes from different species, that the biogenesis of circRNAscan be modulated by both intronic complementary sequences (ICSs) and/or RNA binding proteins, and that the unique structure of circRNAs and their binding and regulation of the innate immune dsRNA receptor PKR is crucial for immune responses (Zhang et al, Cell 2014; Zhang et al, Genome Res 2016; Zhang et al, Cell Rep 2016; Dong et al, RNA Biol 2017; Li et al, Mol Cell 2017; Liu et al, Cell 2019; etc). In addition, Dr. Yang’s lab has collaborated to develop distinct base editors (BEs), including but not limited to human APOBEC3A (hA3A)-conjugated BEs that mediate efficient C-to-T base editing in regions with high-methylation levels and CRISPR/Cpf1-based BEs that recognize a T-rich PAM (Wang et al Nat Biotechnol, 2018a; Li et al Nat Biotechnol, 2018b; etc) for targeted C-to-T base editing. By systematically analyzing the accessibilities of twenty BEs to all reported human pathogenic-related T-to-C or C-to-T point mutations in silico, Dr. Yang’s lab has constructed a BEable-GPS (Base Editable prediction of Global Pathogenic SNVs) database (http://www.picb.ac.cn/rnomics/BEable-GPS)to profile the BE editable pathogenic SNVs and provide gRNA designs for pathogenic SNVs and genomic sites with its embedded toolsets (Wang et al Genome Biol, 2019). In his talk, Dr. Yang will summary current understanding of circRNA and base editing and also update recent progresses.