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PC3T:一种基于特征驱动的化合物预测细胞转化的指标。

PC3T: a signature-driven predictor of chemical compounds for cellular transition.

机构信息

Beijing Institute of Pharmacology and Toxicology, 100850, Beijing, China.

State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, China.

出版信息

Commun Biol. 2023 Sep 27;6(1):989. doi: 10.1038/s42003-023-05225-y.

DOI:10.1038/s42003-023-05225-y
PMID:37758874
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10533498/
Abstract

Cellular transitions hold great promise in translational medicine research. However, therapeutic applications are limited by the low efficiency and safety concerns of using transcription factors. Small molecules provide a temporal and highly tunable approach to overcome these issues. Here, we present PC3T, a computational framework to enrich molecules that induce desired cellular transitions, and PC3T was able to consistently enrich small molecules that had been experimentally validated in both bulk and single-cell datasets. We then predicted small molecule reprogramming of fibroblasts into hepatic progenitor-like cells (HPLCs). The converted cells exhibited epithelial cell-like morphology and HPLC-like gene expression pattern. Hepatic functions were also observed, such as glycogen storage and lipid accumulation. Finally, we collected and manually curated a cell state transition resource containing 224 time-course gene expression datasets and 153 cell types. Our framework, together with the data resource, is freely available at http://pc3t.idrug.net.cn/ . We believe that PC3T is a powerful tool to promote chemical-induced cell state transitions.

摘要

细胞转变在转化医学研究中具有巨大的应用潜力。然而,由于转录因子的效率低和安全性问题,其治疗应用受到限制。小分子提供了一种时间和高度可调的方法来克服这些问题。在这里,我们提出了 PC3T,这是一种计算框架,用于富集诱导所需细胞转变的分子,并且 PC3T 能够一致地富集在批量和单细胞数据集中经过实验验证的小分子。然后,我们预测了小分子将成纤维细胞重编程为肝祖细胞样细胞(HPLCs)。转化后的细胞表现出上皮细胞样形态和 HPLC 样基因表达模式。还观察到了肝的功能,如糖原储存和脂质积累。最后,我们收集并手动整理了一个细胞状态转变资源,其中包含 224 个时间过程基因表达数据集和 153 种细胞类型。我们的框架和数据资源可在 http://pc3t.idrug.net.cn/ 上免费获得。我们相信 PC3T 是促进化学诱导细胞状态转变的有力工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d8b/10533498/c40c3e036dbe/42003_2023_5225_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d8b/10533498/8c21f0199bc4/42003_2023_5225_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d8b/10533498/46d019b961e9/42003_2023_5225_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d8b/10533498/276a1e733c71/42003_2023_5225_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d8b/10533498/96433e27af62/42003_2023_5225_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d8b/10533498/28504caf1a3a/42003_2023_5225_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d8b/10533498/c40c3e036dbe/42003_2023_5225_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d8b/10533498/8c21f0199bc4/42003_2023_5225_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d8b/10533498/46d019b961e9/42003_2023_5225_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d8b/10533498/276a1e733c71/42003_2023_5225_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d8b/10533498/96433e27af62/42003_2023_5225_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d8b/10533498/28504caf1a3a/42003_2023_5225_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d8b/10533498/c40c3e036dbe/42003_2023_5225_Fig6_HTML.jpg

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本文引用的文献

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ChemPert: mapping between chemical perturbation and transcriptional response for non-cancer cells.ChemPert:非癌细胞中化学干扰与转录反应之间的关系映射
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