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...
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doaj-70fa39cec5f1487ab77474c84e2247612020-11-24T22:07:57ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01126e017990010.1371/journal.pone.0179900A biosystems approach to identify the molecular signaling mechanisms of TMEM30A during tumor migration.Jiao WangQian WangDongfang LuFangfang ZhouDong WangRuili FengKai WangRobert MoldayJiang XieTieqiao WenUnderstanding 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.http://europepmc.org/articles/PMC5481017?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jiao Wang Qian Wang Dongfang Lu Fangfang Zhou Dong Wang Ruili Feng Kai Wang Robert Molday Jiang Xie Tieqiao Wen |
spellingShingle |
Jiao Wang Qian Wang Dongfang Lu Fangfang Zhou Dong Wang Ruili Feng Kai Wang Robert Molday Jiang Xie Tieqiao Wen A biosystems approach to identify the molecular signaling mechanisms of TMEM30A during tumor migration. PLoS ONE |
author_facet |
Jiao Wang Qian Wang Dongfang Lu Fangfang Zhou Dong Wang Ruili Feng Kai Wang Robert Molday Jiang Xie Tieqiao Wen |
author_sort |
Jiao Wang |
title |
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_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_sort |
biosystems approach to identify the molecular signaling mechanisms of tmem30a during tumor migration. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2017-01-01 |
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. |
url |
http://europepmc.org/articles/PMC5481017?pdf=render |
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