Yuan Zhang1, Xiao Yong Lei. 1. Institute of Hematology, Medical College of Jinan University, Guangzhou 510632, People's Republic of China. tzyuan@jnu.edu.cn
Abstract
INTRODUCTION: We investigated the effect of two antisense oligodeoxynucleotides, previously selected with the help of computer-aided RNA structure prediction, on drug sensitivity, bcl-2 expression and apoptosis of leukemia cells. The drugs tested were etoposide (VP-16), cytarabine (Ara-C), daunorubicin (DNR) and arsenic trioxide (As(2)O(3)). MATERIALS AND METHODS: The experimental assays were performed with cultures, IC(50) of leukemic cells to drugs, immunochemistry and flow cytometry. RESULTS: The results showed that the two antisense oligodeoxynucleotides significantly reduced IC(50) levels for VP-16, Ara-c, DNA and As(2)O(3), inhibited bcl-2 gene expression and induced apoptosis of leukemic cells. CONCLUSIONS: Computational prediction of antisense efficacy is faster than other methods and more cost-efficient. This could hasten the development of sequences for both research and clinical applications.
INTRODUCTION: We investigated the effect of two antisense oligodeoxynucleotides, previously selected with the help of computer-aided RNA structure prediction, on drug sensitivity, bcl-2 expression and apoptosis of leukemia cells. The drugs tested were etoposide (VP-16), cytarabine (Ara-C), daunorubicin (DNR) and arsenic trioxide (As(2)O(3)). MATERIALS AND METHODS: The experimental assays were performed with cultures, IC(50) of leukemic cells to drugs, immunochemistry and flow cytometry. RESULTS: The results showed that the two antisense oligodeoxynucleotides significantly reduced IC(50) levels for VP-16, Ara-c, DNA and As(2)O(3), inhibited bcl-2 gene expression and induced apoptosis of leukemic cells. CONCLUSIONS: Computational prediction of antisense efficacy is faster than other methods and more cost-efficient. This could hasten the development of sequences for both research and clinical applications.