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A biosystems approach to identify the molecular signaling mechanisms of TMEM30A during tumor migration
Understanding the molecular mechanisms underlying cell migration, which plays an important role in tumor growth and progression, is critical for the development of novel tumor therapeutics. Overexpression of transmembrane protein 30A (TMEM30A) has been shown to initiate tumor cell migration, however...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5481017/ https://www.ncbi.nlm.nih.gov/pubmed/28640862 http://dx.doi.org/10.1371/journal.pone.0179900 |
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author | Wang, Jiao Wang, Qian Lu, Dongfang Zhou, Fangfang Wang, Dong Feng, Ruili Wang, Kai Molday, Robert Xie, Jiang Wen, Tieqiao |
author_facet | Wang, Jiao Wang, Qian Lu, Dongfang Zhou, Fangfang Wang, Dong Feng, Ruili Wang, Kai Molday, Robert Xie, Jiang Wen, Tieqiao |
author_sort | Wang, Jiao |
collection | PubMed |
description | Understanding the molecular mechanisms underlying cell migration, which plays an important role in tumor growth and progression, is critical for the development of novel tumor therapeutics. Overexpression of transmembrane protein 30A (TMEM30A) has been shown to initiate tumor cell migration, however, the molecular mechanisms through which this takes place have not yet been reported. Thus, we propose the integration of computational and experimental approaches by first predicting potential signaling networks regulated by TMEM30A using a) computational biology methods, b) our previous mass spectrometry results of the TMEM30A complex in mouse tissue, and c) a number of migration-related genes manually collected from the literature, and subsequently performing molecular biology experiments including the in vitro scratch assay and real-time quantitative polymerase chain reaction (qPCR) to validate the reliability of the predicted network. The results verify that the genes identified in the computational signaling network are indeed regulated by TMEM30A during cell migration, indicating the effectiveness of our proposed method and shedding light on the regulatory mechanisms underlying tumor migration, which facilitates the understanding of the molecular basis of tumor invasion. |
format | Online Article Text |
id | pubmed-5481017 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54810172017-07-05 A biosystems approach to identify the molecular signaling mechanisms of TMEM30A during tumor migration Wang, Jiao Wang, Qian Lu, Dongfang Zhou, Fangfang Wang, Dong Feng, Ruili Wang, Kai Molday, Robert Xie, Jiang Wen, Tieqiao PLoS One Research Article Understanding the molecular mechanisms underlying cell migration, which plays an important role in tumor growth and progression, is critical for the development of novel tumor therapeutics. Overexpression of transmembrane protein 30A (TMEM30A) has been shown to initiate tumor cell migration, however, the molecular mechanisms through which this takes place have not yet been reported. Thus, we propose the integration of computational and experimental approaches by first predicting potential signaling networks regulated by TMEM30A using a) computational biology methods, b) our previous mass spectrometry results of the TMEM30A complex in mouse tissue, and c) a number of migration-related genes manually collected from the literature, and subsequently performing molecular biology experiments including the in vitro scratch assay and real-time quantitative polymerase chain reaction (qPCR) to validate the reliability of the predicted network. The results verify that the genes identified in the computational signaling network are indeed regulated by TMEM30A during cell migration, indicating the effectiveness of our proposed method and shedding light on the regulatory mechanisms underlying tumor migration, which facilitates the understanding of the molecular basis of tumor invasion. Public Library of Science 2017-06-22 /pmc/articles/PMC5481017/ /pubmed/28640862 http://dx.doi.org/10.1371/journal.pone.0179900 Text en © 2017 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wang, Jiao Wang, Qian Lu, Dongfang Zhou, Fangfang Wang, Dong Feng, Ruili Wang, Kai Molday, Robert Xie, Jiang Wen, Tieqiao A biosystems approach to identify the molecular signaling mechanisms of TMEM30A during tumor migration |
title | A biosystems approach to identify the molecular signaling mechanisms of TMEM30A during tumor migration |
title_full | A biosystems approach to identify the molecular signaling mechanisms of TMEM30A during tumor migration |
title_fullStr | A biosystems approach to identify the molecular signaling mechanisms of TMEM30A during tumor migration |
title_full_unstemmed | A biosystems approach to identify the molecular signaling mechanisms of TMEM30A during tumor migration |
title_short | A biosystems approach to identify the molecular signaling mechanisms of TMEM30A during tumor migration |
title_sort | biosystems approach to identify the molecular signaling mechanisms of tmem30a during tumor migration |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5481017/ https://www.ncbi.nlm.nih.gov/pubmed/28640862 http://dx.doi.org/10.1371/journal.pone.0179900 |
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