{"title":"预测白细胞介素-17家族的microRNA靶点","authors":"Sim-Hui Tee, S. Hew","doi":"10.1109/SHUSER.2012.6268783","DOIUrl":null,"url":null,"abstract":"MicroRNAs are short regulatory RNAs which play a major role in regulating gene expression. In this study, we employed bioinformatics techniques to predict microRNA target sites for interleukin-17 family. We aimed at identifying the pattern of microRNA regulatory mechanism on interleukin-17 family. This study provides insight into the expression pattern of interleukin-17 family in controlling immunopathologic diseases.","PeriodicalId":426671,"journal":{"name":"2012 IEEE Symposium on Humanities, Science and Engineering Research","volume":"423 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting microRNA target sites for interleukin-17 family\",\"authors\":\"Sim-Hui Tee, S. Hew\",\"doi\":\"10.1109/SHUSER.2012.6268783\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"MicroRNAs are short regulatory RNAs which play a major role in regulating gene expression. In this study, we employed bioinformatics techniques to predict microRNA target sites for interleukin-17 family. We aimed at identifying the pattern of microRNA regulatory mechanism on interleukin-17 family. This study provides insight into the expression pattern of interleukin-17 family in controlling immunopathologic diseases.\",\"PeriodicalId\":426671,\"journal\":{\"name\":\"2012 IEEE Symposium on Humanities, Science and Engineering Research\",\"volume\":\"423 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Symposium on Humanities, Science and Engineering Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SHUSER.2012.6268783\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Symposium on Humanities, Science and Engineering Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SHUSER.2012.6268783","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predicting microRNA target sites for interleukin-17 family
MicroRNAs are short regulatory RNAs which play a major role in regulating gene expression. In this study, we employed bioinformatics techniques to predict microRNA target sites for interleukin-17 family. We aimed at identifying the pattern of microRNA regulatory mechanism on interleukin-17 family. This study provides insight into the expression pattern of interleukin-17 family in controlling immunopathologic diseases.