Brief Communication: Identifying the target mRNAs of microRNAs in colorectal cancer

  • Authors:
  • Shinuk Kim;Minsoo Choi;Kwang-Hyun Cho

  • Affiliations:
  • Interdisciplinary Program in Bioinformatics, Seoul National University, 599 Gwanakno, Gwanak-gu, Seoul 151-747, Republic of Korea;Interdisciplinary Program in Bioinformatics, Seoul National University, 599 Gwanakno, Gwanak-gu, Seoul 151-747, Republic of Korea and Department of Bio and Brain Engineering and KI for the Bio Cen ...;Department of Bio and Brain Engineering and KI for the Bio Century, Korea Advanced Institute of Science and Technology (KAIST), 335 Gwahangno, Yuseong-gu, Daejeon 305-701, Republic of Korea

  • Venue:
  • Computational Biology and Chemistry
  • Year:
  • 2009

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Abstract

MicroRNAs (miRNAs) play an important role in gene regulatory networks by inhibiting the expression of target mRNAs. There is a growing interest in identifying the relationship between miRNAs and their target mRNAs. Various experimental studies have been carried out to discover miRNAs involved in cancer and to identify their target genes. At the same time, a large volume of miRNA and mRNA expression profiles have become available owing to the development of high-throughput measurement technologies. So, there is now a pressing need to develop a computational method by which we can identify the target mRNAs of given miRNAs from such massive expression data sets. In this respect, we propose an effective linear model based identification method to unravel the relationship between miRNAs and their target mRNAs in colorectal cancer by using microarray expression profiles and sequence data.