Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Fukuoka 820-8502, Japan.
Research Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki 305-8569, Japan.
Bioinformatics. 2024 Feb 1;40(2). doi: 10.1093/bioinformatics/btae048.
Direct reprogramming (DR) is a process that directly converts somatic cells to target cells. Although DR via small molecules is safer than using transcription factors (TFs) in terms of avoidance of tumorigenic risk, the determination of DR-inducing small molecules is challenging.
Here we present a novel in silico method, DIRECTEUR, to predict small molecules that replace TFs for DR. We extracted DR-characteristic genes using transcriptome profiles of cells in which DR was induced by TFs, and performed a variant of simulated annealing to explore small molecule combinations with similar gene expression patterns with DR-inducing TFs. We applied DIRECTEUR to predicting combinations of small molecules that convert fibroblasts into neurons or cardiomyocytes, and were able to reproduce experimentally verified and functionally related molecules inducing the corresponding conversions. The proposed method is expected to be useful for practical applications in regenerative medicine.
The code and data are available at the following link: https://github.com/HamanoLaboratory/DIRECTEUR.git.
直接重编程 (DR) 是一种将体细胞直接转化为靶细胞的过程。虽然与使用转录因子 (TFs) 相比,使用小分子进行 DR 避免了致瘤风险,但是确定 DR 诱导小分子具有挑战性。
在这里,我们提出了一种新的计算方法 DIRECTEUR,用于预测替代 TFs 进行 DR 的小分子。我们使用 TFs 诱导 DR 的细胞的转录组谱提取 DR 特征基因,并进行模拟退火的变体以探索具有与 DR 诱导 TFs 相似基因表达模式的小分子组合。我们将 DIRECTEUR 应用于预测将成纤维细胞转化为神经元或心肌细胞的小分子组合,并且能够重现实验验证和功能相关的诱导相应转化的分子。该方法有望在再生医学的实际应用中发挥作用。
代码和数据可在以下链接获得:https://github.com/HamanoLaboratory/DIRECTEUR.git。