PC3T: a signature-driven predictor of chemical compounds for cellular transition
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 presen...
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Published in | Communications biology Vol. 6; no. 1; pp. 989 - 11 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
27.09.2023
Nature Publishing Group Nature Portfolio |
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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.
PC3T is an in silico chemical screening pipeline to identify small-molecule treatments that induce cell state transitions for any given initial and terminal state or any intermediate state in the cell transition trajectory. |
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AbstractList | 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.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. 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.PC3T is an in silico chemical screening pipeline to identify small-molecule treatments that induce cell state transitions for any given initial and terminal state or any intermediate state in the cell transition trajectory. 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. PC3T is an in silico chemical screening pipeline to identify small-molecule treatments that induce cell state transitions for any given initial and terminal state or any intermediate state in the cell transition trajectory. 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. 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. |
ArticleNumber | 989 |
Author | Song, Bin Zhong, Zhi Cui, Xiuliang Zhang, Peilin Bo, Xiaochen Wang, Hongyang Zhou, Wenxia Han, Lu Zhang, Yongxiang Zhang, Yong |
Author_xml | – sequence: 1 givenname: Lu surname: Han fullname: Han, Lu organization: Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures – sequence: 2 givenname: Bin surname: Song fullname: Song, Bin organization: Department of Pancreatic Surgery, Changhai Hospital, Second Military Medical University – sequence: 3 givenname: Peilin surname: Zhang fullname: Zhang, Peilin organization: National Center for Liver Cancer, Eastern Hepatobiliary Surgery Hospital, Naval Medical University – sequence: 4 givenname: Zhi surname: Zhong fullname: Zhong, Zhi organization: Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University – sequence: 5 givenname: Yongxiang surname: Zhang fullname: Zhang, Yongxiang organization: Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures – sequence: 6 givenname: Xiaochen orcidid: 0000-0003-1911-7922 surname: Bo fullname: Bo, Xiaochen organization: Department of Bioinformatics, Institute of Health Service and Transfusion Medicine – sequence: 7 givenname: Hongyang orcidid: 0000-0002-4709-3334 surname: Wang fullname: Wang, Hongyang organization: National Center for Liver Cancer, Eastern Hepatobiliary Surgery Hospital, Naval Medical University – sequence: 8 givenname: Yong orcidid: 0000-0001-6316-2734 surname: Zhang fullname: Zhang, Yong email: yzhang@tongji.edu.cn organization: Institute for Regenerative Medicine, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University – sequence: 9 givenname: Xiuliang orcidid: 0000-0002-0165-5020 surname: Cui fullname: Cui, Xiuliang email: wafyai@163.com organization: National Center for Liver Cancer, Eastern Hepatobiliary Surgery Hospital, Naval Medical University – sequence: 10 givenname: Wenxia orcidid: 0000-0002-6175-4821 surname: Zhou fullname: Zhou, Wenxia email: zhouwx@bmi.ac.cn organization: Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures |
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Title | PC3T: a signature-driven predictor of chemical compounds for cellular transition |
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