서울대학교 생물정보연구소와 생물정보학 협동과정 공동 주최로 특별 세미나를 아래와 같이 열고자 하오니,　많은 참여 바랍니다.

일시: 2016년　3월　9일 수요일 오전　11시

연사:　이상혁　(이화여자대학교 생명과학과)

장소:　서울대학교　25동　411호

Title: Integrative Clinical Cancer Genomics　–　Information System, Mouse Models, and Precision Medicine

Abstract:　Clinical cancer genomics is at the forefront of precision medicine, which requires integrative approaches inevitably encompassing multi-layered omics data, advanced information system, and animal models. Unifying these multi-disciplinary components towards clinical application in practice is a huge challenge. In this talk, we present our prototypical system to realize the precision treatment of lung cancer. First, we will briefly describe the results from multi-dimensional genomic study of 111 lung adenocarcinoma patients in never-smoker Korean females. This should highlight the importance of multi-layered omics approach and proper analysis methods based on systems bioinformatics discipline. Then, we introduce an MIS (management information system) that integrates genome and clinical information in a tailored fashion for precision therapy of cancer. Our information system comprises two base units of the clinical genome information system (CGIS) and BioCloud system. The CGIS unit collects and manages all clinical/personal information by interacting with the electronic medical record (EMR) system via intranet to meet the security requirements of the institution. The BioCloud system consists of several components including BioDataBank, genome data analysis (GDA) unit, and cohort analysis unit. BioDataBank is the collection of public knowledge on genes, genomes, cancer variants, and available drugs. The GDA unit is the pipeline for analyzing NGS data of genome, exome, and transcriptome sequencing. The cohort analysis unit is a data-mining system dedicated for specific types of cancer. The BioCloud system communicates with the institutional CGIS over the internet where all personal information is anonymized. This system should be able to provide a powerful yet flexible information solution to meet delicate security policies of each institution. Lastly, we will briefly report the initial progress of the mouse PDX (patient derived xenograft) project on lung cancer. Our platform of clinical genomics based on multi-layered deep sequencing, big data mining of public bio-information, and animal models should present a viable model for realizing the precision treatment of cancer.

Education and Professional Career

Selected Publications

1. Yoo HY, Kim P, Kim WS, Lee SH, Kim S, Kang SY, Jang HY, Lee JE, Kim SJ, Ko YH*,　LeeS*.

Frequent　CTLA4-CD28 gene fusion in diverse types of T cell lymphoma.　Haematologica, in press (2016).

2. Lee S, Seo CH,　LeeS*,ParkPJ*.

EMSAR:EstimationoftranscriptabundancefromRNA-seqdatabymappability-basedsegmentationandreclustering.BMC Bioinformatics,　16:278 (2015).

3. Park C, Yu N, Choi I, Kim W,　LeeS*.

lncRNAtor: a comprehensive resource for functional investigation of long noncoding RNAs.　Bioinformatics,　30:2480 (2014).

4. Yoo HY, Sung MK,　…,　LeeS*,KoYH*,

ArecurrentinactivatingmutationinRHOAGTPaseinangioimmunoblasticT-celllymphoma,Nature Genetics,　46:371 (2014)

5. Kim SC, Jung Y, Park J, Cho S,　…,　LeeS*.

Ahigh-dimensional,deep-sequencingstudyoflungadenocarcinomainfemalenever-smokers,PLoS One,　8: e55596 (2013).

6. Cho SY, Jang I, Jun Y,　…,　LeeS*.

miRGatorv3.0:amicroRNAportalfordeepsequencing,expressionprofiling,andmRNAtargeting,Nucleic Acids Res.　41:D252 (2013)

서울대학교 생물정보연구소

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