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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Main Authors: Jiao Wang, Qian Wang, Dongfang Lu, Fangfang Zhou, Dong Wang, Ruili Feng, Kai Wang, Robert Molday, Jiang Xie, Tieqiao Wen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5481017?pdf=render
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spelling 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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