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Identification of autophagic target RAB13 with small‐molecule inhibitor in low‐grade glioma via integrated multi‐omics approaches coupled with virtual screening of traditional Chinese medicine databases

OBJECTIVES: Autophagy, a highly conserved lysosomal degradation process in eukaryotic cells, has been widely reported closely related to the progression of many types of human cancers, including LGG; however, the intricate relationship between autophagy and LGG remains to be clarified. MATERIALS AND...

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Autores principales: Su, Wei, Liao, Minru, Tan, Huidan, Chen, Yanmei, Zhao, Rongyan, Jin, Wenke, Zhu, Shiou, Zhang, Yiwen, He, Li, Liu, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666277/
https://www.ncbi.nlm.nih.gov/pubmed/34632655
http://dx.doi.org/10.1111/cpr.13135
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author Su, Wei
Liao, Minru
Tan, Huidan
Chen, Yanmei
Zhao, Rongyan
Jin, Wenke
Zhu, Shiou
Zhang, Yiwen
He, Li
Liu, Bo
author_facet Su, Wei
Liao, Minru
Tan, Huidan
Chen, Yanmei
Zhao, Rongyan
Jin, Wenke
Zhu, Shiou
Zhang, Yiwen
He, Li
Liu, Bo
author_sort Su, Wei
collection PubMed
description OBJECTIVES: Autophagy, a highly conserved lysosomal degradation process in eukaryotic cells, has been widely reported closely related to the progression of many types of human cancers, including LGG; however, the intricate relationship between autophagy and LGG remains to be clarified. MATERIALS AND METHODS: Multi‐omics methods were used to integrate omics data to determine potential autophagy regulators in LGG. The expression of ZFP36L2 and RAB13 in SW1088 cells was experimentally manipulated using cDNAs and small interfering RNAs (siRNA). RT‐qPCR detects RNAi gene knockout and cDNA overexpression efficiency. The expression levels of proteins in SW1088 cells were evaluated using Western blot analysis and immunofluorescence analysis. Homology modelling and molecular docking were used to identify compounds from Multi‐Traditional Chinese Medicine (TCM) Databases. The apoptosis ratios were determined by flow cytometry analysis of Annexin‐V/PI double staining. We detect the number of autophagosomes by GFP‐MRFP‐LC3 plasmid transfection to verify the process of autophagy flow. RESULTS: We integrated various omics data from LGG, including EXP, MET and CNA data, with the SNF method and the LASSO algorithm, and identified ZFP36L2 and RAB13 as positive regulators of autophagy, which are closely related to the core autophagy regulators. Both transcription level and protein expression level of the four autophagy regulators, including ULK1, FIP200, ATG16L1 and ATG2B, and LC3 puncta were increased by ZFP36L2 and RAB13 overexpression. In addition, RAB13 participates in autophagy through ATG2B, FIP200, ULK1, ATG16L1 and Beclin‐1. Finally, we screened multi‐TCM databases and identified gallic acid as a novel potential RAB13 inhibitor, which was confirmed to negatively regulate autophagy as well as to induce cell death in SW1088 cells. CONCLUSION: Our study identified the key autophagic regulators ZFP36L2 and Rab13 in LGG progression, and demonstrated that gallic acid is a small molecular inhibitor of RAB13, which negatively regulates autophagy and provides a possible small molecular medicine for the subsequent treatment of LGG.
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spelling pubmed-86662772021-12-21 Identification of autophagic target RAB13 with small‐molecule inhibitor in low‐grade glioma via integrated multi‐omics approaches coupled with virtual screening of traditional Chinese medicine databases Su, Wei Liao, Minru Tan, Huidan Chen, Yanmei Zhao, Rongyan Jin, Wenke Zhu, Shiou Zhang, Yiwen He, Li Liu, Bo Cell Prolif Original Articles OBJECTIVES: Autophagy, a highly conserved lysosomal degradation process in eukaryotic cells, has been widely reported closely related to the progression of many types of human cancers, including LGG; however, the intricate relationship between autophagy and LGG remains to be clarified. MATERIALS AND METHODS: Multi‐omics methods were used to integrate omics data to determine potential autophagy regulators in LGG. The expression of ZFP36L2 and RAB13 in SW1088 cells was experimentally manipulated using cDNAs and small interfering RNAs (siRNA). RT‐qPCR detects RNAi gene knockout and cDNA overexpression efficiency. The expression levels of proteins in SW1088 cells were evaluated using Western blot analysis and immunofluorescence analysis. Homology modelling and molecular docking were used to identify compounds from Multi‐Traditional Chinese Medicine (TCM) Databases. The apoptosis ratios were determined by flow cytometry analysis of Annexin‐V/PI double staining. We detect the number of autophagosomes by GFP‐MRFP‐LC3 plasmid transfection to verify the process of autophagy flow. RESULTS: We integrated various omics data from LGG, including EXP, MET and CNA data, with the SNF method and the LASSO algorithm, and identified ZFP36L2 and RAB13 as positive regulators of autophagy, which are closely related to the core autophagy regulators. Both transcription level and protein expression level of the four autophagy regulators, including ULK1, FIP200, ATG16L1 and ATG2B, and LC3 puncta were increased by ZFP36L2 and RAB13 overexpression. In addition, RAB13 participates in autophagy through ATG2B, FIP200, ULK1, ATG16L1 and Beclin‐1. Finally, we screened multi‐TCM databases and identified gallic acid as a novel potential RAB13 inhibitor, which was confirmed to negatively regulate autophagy as well as to induce cell death in SW1088 cells. CONCLUSION: Our study identified the key autophagic regulators ZFP36L2 and Rab13 in LGG progression, and demonstrated that gallic acid is a small molecular inhibitor of RAB13, which negatively regulates autophagy and provides a possible small molecular medicine for the subsequent treatment of LGG. John Wiley and Sons Inc. 2021-10-10 /pmc/articles/PMC8666277/ /pubmed/34632655 http://dx.doi.org/10.1111/cpr.13135 Text en © 2021 The Authors. Cell Proliferation published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Su, Wei
Liao, Minru
Tan, Huidan
Chen, Yanmei
Zhao, Rongyan
Jin, Wenke
Zhu, Shiou
Zhang, Yiwen
He, Li
Liu, Bo
Identification of autophagic target RAB13 with small‐molecule inhibitor in low‐grade glioma via integrated multi‐omics approaches coupled with virtual screening of traditional Chinese medicine databases
title Identification of autophagic target RAB13 with small‐molecule inhibitor in low‐grade glioma via integrated multi‐omics approaches coupled with virtual screening of traditional Chinese medicine databases
title_full Identification of autophagic target RAB13 with small‐molecule inhibitor in low‐grade glioma via integrated multi‐omics approaches coupled with virtual screening of traditional Chinese medicine databases
title_fullStr Identification of autophagic target RAB13 with small‐molecule inhibitor in low‐grade glioma via integrated multi‐omics approaches coupled with virtual screening of traditional Chinese medicine databases
title_full_unstemmed Identification of autophagic target RAB13 with small‐molecule inhibitor in low‐grade glioma via integrated multi‐omics approaches coupled with virtual screening of traditional Chinese medicine databases
title_short Identification of autophagic target RAB13 with small‐molecule inhibitor in low‐grade glioma via integrated multi‐omics approaches coupled with virtual screening of traditional Chinese medicine databases
title_sort identification of autophagic target rab13 with small‐molecule inhibitor in low‐grade glioma via integrated multi‐omics approaches coupled with virtual screening of traditional chinese medicine databases
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666277/
https://www.ncbi.nlm.nih.gov/pubmed/34632655
http://dx.doi.org/10.1111/cpr.13135
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