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報告人:魯志教授 清華大學(xué)生命科學(xué)院

題目:Finding Novel exRNA Biomarkers for the Liquid Biopsy of Cancer

時(shí)間:2019年12月18日下午2:00

地點(diǎn):生科大樓報告廳

主持人:王澤峰研究員,計算生物學(xué)重點(diǎn)實(shí)驗室

報告人簡(jiǎn)介:魯志博士,清華大學(xué)生命科學(xué)學(xué)院研究員,博士生導師,“生物信息學(xué)”教育部重點(diǎn)實(shí)驗室副主任,國家“優(yōu)秀青年”基金和“霍英東”青年基金獲得者。2003年獲中國科學(xué)技術(shù)大學(xué)生命學(xué)院學(xué)士學(xué)位,2008年獲美國羅切斯特大學(xué)的生物物理學(xué)博士學(xué)位,2008-2010年在耶魯大學(xué)從事生物信息學(xué)的博士后研究, 2011年加入清華大學(xué)建立生物信息學(xué)實(shí)驗室。魯志博士的實(shí)驗室主要從事跟非編碼RNA有關(guān)的生物信息學(xué)研究,包括(1)RNA調控和(2)精準醫療兩個(gè)重點(diǎn)方向。發(fā)表在國際重要期刊文章50余篇(Science, Cell Research, Genome Biology, Nature Communications, NAR等),總引用超過(guò)10000次。其中以通訊作者身份發(fā)表的20余篇(影響因子超過(guò)10的11篇)。曾獲清華大學(xué)“學(xué)術(shù)新人獎”,入選教育部“新世紀人才計劃”,入選清華大學(xué)“221基礎研究青年人才”計劃。

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.

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