Small compound-based direct cell conversion with combinatorial optimization of pathway regulations
Small compound-based direct cell conversion with combinatorial optimization of pathway regulations
复制标题
基于小型化合物的直接细胞转化与途径调控的组合优化
DOI:
10.1093/bioinformatics/btac475
复制
发表时间:
2022
期刊:
影响因子:
5.8
通讯作者:
Yamanishi Yoshihiro
中科院分区:
文献类型:
--
作者:
Nakamura Toru;Iwata Michio;Hamano Momoko;Eguchi Ryohei;Takeshita Jun-ichi;Yamanishi Yoshihiro
MotivationDirect cell conversion, direct reprogramming (DR), is an innovative technology that directly converts source cells to target cells without bypassing induced pluripotent stem cells. The use of small compounds (e.g. drugs) for DR can help avoid carcinogenic risk induced by gene transfection; however, experimentally identifying small compounds remains challenging because of combinatorial explosion.ResultsIn this article, we present a new computational method, COMPRENDRE (combinatorial optimization of pathway regulations for direct reprograming), to elucidate the mechanism of small compound-based DR and predict new combinations of small compounds for DR. We estimated the potential target proteins of DR-inducing small compounds and identified a set of target pathways involving DR. We identified multiple DR-related pathways that have not previously been reported to induce neurons or cardiomyocytes from fibroblasts. To overcome the problem of combinatorial explosion, we developed a variant of a simulated annealing algorithm to identify the best set of compounds that can regulate DR-related pathways. Consequently, the proposed method enabled to predict new DR-inducing candidate combinations with fewer compounds and to successfully reproduce experimentally verified compounds inducing the direct conversion from fibroblasts to neurons or cardiomyocytes. The proposed method is expected to be useful for practical applications in regenerative medicine.Availability and implementationThe code supporting the current study is available at the http://labo.bio.kyutech.ac.jp/~yamani/comprendre.Supplementary informationSupplementary data are available atBioinformaticsonline.