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Exploring transcriptome data for alternative splicing

등록일
2005년 2월 24일 01시 34분 07초
접수번호
1091
발표코드
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발표시간
토 11시 : 00분
발표형식
심포지엄
발표분야
생명화학 - 생명Ⅱ: 화학 생물학
저자 및
공동저자
이상혁, 김남신1, 문지영1
이화여자대학교 화학과,
1이화여자대학교 분자생명과학부,
Transcriptome plays a central role in modern molecular biology. The importance of transcriptome study is being rapidly established since it encompasses the functional noncoding RNAs (e.g. microRNA, snoRNA, etc.) as well as mRNAs coding for proteins. Abundant public data, mRNA, EST, SAGE, and microarray, are another merit for bioinformatics research. We describe the ECgene system dedicated to annotate transcript structure, function and expression using EST and SAGE data, taking alternative splicing events into consideration. Furthermore, two examples of exploring EST data to find the drug targets will be provided. The first is to find the fusion sequences in the GenBank that are produced from chromosomal translocation abundant in cancer development. They may serve as excellent drug targets for cancer treatment as can be seen in the example of Gleevec. The second is to find the allele-specific alternative splicing events. Many disease-related SNPs are believed to appear near the splicing-regulatory region. SNPs that appear within exonic splicing-regulatory region are identified from systematic study of isoform structure.

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