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Investigation of the Potential Mechanisms Underlying Nuclear F-Actin Organization in Ovarian Cancer Cells by High-Throughput Screening in Combination With Deep Learning
Increasing evidence supports the notion that filamentous actin (F-actin) and globular actin exist in the nuclei of somatic cells, and are involved in chromatin remodeling, gene transcription regulation and DNA damage repair. However, the underlying mechanisms of how nuclear F-actin are polymerized i...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178185/ https://www.ncbi.nlm.nih.gov/pubmed/35693931 http://dx.doi.org/10.3389/fcell.2022.869531 |
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author | Wu, Wei Xing, Xiaoxia Wang, Mingyang Feng, Yinzhou Wietek, Nina Chong, Kay El-Sahhar, Salma Ahmed, Ahmed Ashour Zang, Rongyu Zheng, Yiyan |
author_facet | Wu, Wei Xing, Xiaoxia Wang, Mingyang Feng, Yinzhou Wietek, Nina Chong, Kay El-Sahhar, Salma Ahmed, Ahmed Ashour Zang, Rongyu Zheng, Yiyan |
author_sort | Wu, Wei |
collection | PubMed |
description | Increasing evidence supports the notion that filamentous actin (F-actin) and globular actin exist in the nuclei of somatic cells, and are involved in chromatin remodeling, gene transcription regulation and DNA damage repair. However, the underlying mechanisms of how nuclear F-actin are polymerized in cells remain incompletely understood. Here, we identify potential kinase targets that participate in nuclear F-actin polymerization in ovarian cancer cells using small-molecule inhibitor library screening in combination with a deep learning approach. The analysis of the targets of the inhibitors used in this study suggest that the PI3K-AKT pathway are involved in regulating nuclear F-actin organization in ovarian cancer cells. Our work lays the foundation for uncovering the important roles of nuclear F-actin in the context of ovarian cancer, and for understanding how nuclear F-actin structures are organized. |
format | Online Article Text |
id | pubmed-9178185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91781852022-06-10 Investigation of the Potential Mechanisms Underlying Nuclear F-Actin Organization in Ovarian Cancer Cells by High-Throughput Screening in Combination With Deep Learning Wu, Wei Xing, Xiaoxia Wang, Mingyang Feng, Yinzhou Wietek, Nina Chong, Kay El-Sahhar, Salma Ahmed, Ahmed Ashour Zang, Rongyu Zheng, Yiyan Front Cell Dev Biol Cell and Developmental Biology Increasing evidence supports the notion that filamentous actin (F-actin) and globular actin exist in the nuclei of somatic cells, and are involved in chromatin remodeling, gene transcription regulation and DNA damage repair. However, the underlying mechanisms of how nuclear F-actin are polymerized in cells remain incompletely understood. Here, we identify potential kinase targets that participate in nuclear F-actin polymerization in ovarian cancer cells using small-molecule inhibitor library screening in combination with a deep learning approach. The analysis of the targets of the inhibitors used in this study suggest that the PI3K-AKT pathway are involved in regulating nuclear F-actin organization in ovarian cancer cells. Our work lays the foundation for uncovering the important roles of nuclear F-actin in the context of ovarian cancer, and for understanding how nuclear F-actin structures are organized. Frontiers Media S.A. 2022-05-26 /pmc/articles/PMC9178185/ /pubmed/35693931 http://dx.doi.org/10.3389/fcell.2022.869531 Text en Copyright © 2022 Wu, Xing, Wang, Feng, Wietek, Chong, El-Sahhar, Ahmed, Zang and Zheng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cell and Developmental Biology Wu, Wei Xing, Xiaoxia Wang, Mingyang Feng, Yinzhou Wietek, Nina Chong, Kay El-Sahhar, Salma Ahmed, Ahmed Ashour Zang, Rongyu Zheng, Yiyan Investigation of the Potential Mechanisms Underlying Nuclear F-Actin Organization in Ovarian Cancer Cells by High-Throughput Screening in Combination With Deep Learning |
title | Investigation of the Potential Mechanisms Underlying Nuclear F-Actin Organization in Ovarian Cancer Cells by High-Throughput Screening in Combination With Deep Learning |
title_full | Investigation of the Potential Mechanisms Underlying Nuclear F-Actin Organization in Ovarian Cancer Cells by High-Throughput Screening in Combination With Deep Learning |
title_fullStr | Investigation of the Potential Mechanisms Underlying Nuclear F-Actin Organization in Ovarian Cancer Cells by High-Throughput Screening in Combination With Deep Learning |
title_full_unstemmed | Investigation of the Potential Mechanisms Underlying Nuclear F-Actin Organization in Ovarian Cancer Cells by High-Throughput Screening in Combination With Deep Learning |
title_short | Investigation of the Potential Mechanisms Underlying Nuclear F-Actin Organization in Ovarian Cancer Cells by High-Throughput Screening in Combination With Deep Learning |
title_sort | investigation of the potential mechanisms underlying nuclear f-actin organization in ovarian cancer cells by high-throughput screening in combination with deep learning |
topic | Cell and Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178185/ https://www.ncbi.nlm.nih.gov/pubmed/35693931 http://dx.doi.org/10.3389/fcell.2022.869531 |
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