李衍达

李衍达
李衍达 教授

Professor

Member of CAS

Dept of Automation

Tsinghua University

个人简历:  

 

2010: Wanwan Tang

 

2009: Pufeng Du, Tao Peng, Jin Gu, Jing Zhang

 

2008: Tao He, Xiaowo Wang, Jianning Bi

 

2007: Huiyu Xia, Xiangqing Sun

      

主要科研领域及方向:         

   ncRNAs (non-coding RNAs)

    In higher eukaryotic organisms, the protein-coding gene regions only account for very small part of the whole genome. What are the "hidden" functions of other regions? Few non-coding genes which can be transcribed into ncRNAs are identified before the burst of hundreds of miRNAs. After lin-4 and let-7 are discovered in C. elegans, the tiny ~22nt molecules attract extensive attentions. These molecules are important posttranscriptional regulators by repressing or degrading mRNAs by base-pairing to their 3'-UTRs or coding regions. Recent studies show that miRNAs can maintain or change the expression profiles of cell lineage. Many cancer tissues show low-expressions of miRNAs. Computational methods can greatly forward our understanding miRNAs and other ncRNAs. We mainly use secondary structures, comparative genomics and expression data (ESTs, microarray, CAGE) to identify ncRNAs and to explore their functions.

      Alternative Splicing

    The sequencing of human genome shows a surprisingly small number of genes, which raises great interests in the origin of organism complexity. The problem can partly be explained by the post-transcriptional process termed alternative splicing, which can produce many mRNA isoforms from a single gene. Alternative splicing is prevalent in higher eukaryotes and plays important regulatory and functional roles in these organisms. Moreover, alternative splicing has extensive relation with human diseases. It is reported that mis-regulation of alternative splicing is involved in 15% of human genetic diseases and may also promote tumorigenesis. In our lab, we mainly exploit computational methods to study alternative splicing. Computational methods have provided us great insights into almost all aspects of alternative splicing including its regulation, function and evolution and we believe it is indispensable in the post-genome era.

      Complex Diseases

     The research in human disease genomics has begun to deal with the difficult complex diseases. Because the multigenic disorders are caused by the effects of multiple genes, and the dynamic regulation in the gene network is very complicated, the research in complex diseases needs big improvements in population and marker selection, mathematic models, and statistical methods, etc. We made a great effort in development of new statistic methods to detect the susceptibility loci of complex diseases with epistatic interactions. In this area, we made deep and wide research in schizophrenia by cooperation with Peking Union Medical College. We developed two multi-locus association methods which have some advantages over the current popular methods in detecting susceptibility loci with complex and weak epistatic interactions. Besides, in the schizophrenia research, we found the joint effects of two genes significantly associated with schizophrenia in dopaminergic pathway. We will make further research in detection of susceptibility genes of the complex diseases and their etiopathogenesis. Our future research will focus on the problems in genomewide association study, population stratification, genotype error and missing data, etc.

代表论文:     

Year 2011

Xin Yao, Han Hao, Yanda Li, Shao Li. Modularity-based credible prediction of disease genes and detection of disease subtypes on the phenotype-gene heterogeneous network. BMC System Biology 2011, 5:79.

 Year 2010

Jin Gu, Yang Chen, Shao Li, Yanda Li. Identification of responsive gene modules by network-based gene clustering and extending: application to inflammation and angiogenesis. BMC System Biology 2010, 4:47.

Li Tang, Zhen Chen, Hao Yin, Jun Li, Yanda Li. CORS: A cooperative overlay routing service to enhance interactive multimedia communications. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 2010, 21(2):107-119.

 

联系方式:           

 

Beijing 100084, China

 

Tel: +86-10-6279-4295

 

Fax: +86-10-6278-6911

 

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