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연구논문

생물정보학적 접근을 통한 Caenorhabditis elegans 모델시스템의 생체내 RNAi 기능예측 및 비특이적 공동발현억제 현상 분석

원문정보

Bioinformatics Approach to Direct Target Prediction for RNAi Function and Non-specific Cosuppression in Caenorhabditis elegans

김태호, 김의용, 주현

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

Some computational approaches are needed for clarifying RNAi sequences, because it takes much time and endeavor that almost of RNAi sequences are verified by experimental data. Incorrectness of RNAi mechanism and other unaware factors in organism system are frequently faced with questions regarding potential use of RNAi as therapeutic applications. Our massive parallelized pair alignment scoring between dsRNA in Genebank and expressed sequence tags (ESTs) in Caenorhabditis elegans Genome Sequencing Projects revealed that this provides a useful tool for the prediction of RNAi induced cosuppression details for practical use. This pair alignment scoring method using high performance computing exhibited some possibility that numerous unwanted gene silencing and cosuppression exist even at high matching scores each other. The classifying the relative higher matching score of them based on GO (Gene Ontology) system could present mapping dsRNA of C. elegans and functional roles in an applied system. Our prediction also exhibited that more than 78% of the predicted co-suppressible genes are located in the ribosomal spot of C. elegans.

목차

Abstract
 1. 서론
 2. 재료 및 방법
  2.1. 다중서열정렬 연산도구를 이용한 RNAi 표적서열 검색
  2.2. 고속 대용량 연산 클러스터 구축
  2.3. dsRNA 서열과 발현단편 라이브러리
  2.4. 연산 매개변수 추정 및 쌍정렬 점수 획득
 3. 결과 및 고찰
 4. 결론
 References

저자정보

  • 김태호 Taeho Kim. 일본 오사카대학교 WPI 면역선도연구센터
  • 김의용 Euiyong Kim. 인제의대 생리학교실
  • 주현 Hyun Joo. 인제의대 생리학교실

참고문헌

자료제공 : 네이버학술정보

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