Identification of GNRA tetraloop using proteome arrays

• Main Authors: CHAN BAO, 陳寶興
• Other Authors: Chien-Sheng Chen
• Format: Others
• Language: en_US
• Online Access: http://ndltd.ncl.edu.tw/handle/19773084879318621303

碩士 === 國立中央大學 === 系統生物與生物資訊研究所 === 98 === Microarray has become an important technology for large-scale and high-throughput biology. More than 18000 human proteins, 5000 yeast proteins or 4000 E. coli proteins have been printed on different surface modified slides and implemented in research of protein-RNA interaction. RNA serves several essential functions for all life processes. Identifying proteins that preferentially bind to a hepatitis C virus (HCV) RNA hairpin may help explore functions involved in RNA viral activities or pathway of infection in the host. In our experiment, four synthesized RNA hairpin structures each with nucleotide(s) differences were probed with either yeast or E.coli proteome chip. By using anti-his antibody which was labeled with Cy3 or Cy5 to probe with the proteome chip, we estimated the amount of each protein on certain slides. This approach helps to identify and classify the cellular proteins that can recognize with the RNA hairpins exist in HCV, an important human pathogen. By using this miniature and high-throughput platform, we are able to discovery new biomarker that related to certain diseases.