Systems Biology Approaches for the Prediction of Possible Role of Chlamydia pneumoniae Proteins in the Etiology of Lung Cancer.
Systems Biology Approaches for the Prediction of Possible Role of Chlamydia pneumoniae Proteins in the Etiology of Lung Cancer.
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DOI：
10.1371/journal.pone.0148530
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Alshamsan A
中科院分区：
文献类型：
--
作者：
Khan S;Imran A;Khan AA;Abul Kalam M;Alshamsan A
越来越多的证据支持细菌感染与癌症的生长和发展有关，特别是在经常暴露于细菌的器官中，如肺、结肠、宫颈癌等。肺炎与肺癌的发展和生长有关。有理由认为C.在感染过程中，肺炎链球菌在宿主细胞内细胞器内转运其蛋白质，在那里它们可能与宿主细胞蛋白质组一起工作。本研究旨在预测C.使用包括ExPASy pI/Mw工具、核定位信号（NLS）作图器、平衡亚细胞定位预测器（BaCeILo）和Hum-mPLoc 2.0的生物信息学预测器，在宿主细胞中测定肺炎克雷伯氏菌。我们预测了1112个C. pneumoniae与细胞内感染过程中宿主复制和转录的几种可能的改变有关。这些核靶向蛋白可能参与宿主与C.肺炎杆菌蛋白具有相同的底物的可用性，并且可能作为病原体参与肺癌的生长和发展。这些新的发现将有助于更好地理解肺癌的病因学和确定治疗的分子靶点。
Accumulating evidence has recently supported the association of bacterial infection with the growth and development of cancers, particularly in organs that are constantly exposed to bacteria such as the lungs, colon, cervical cancer etc. Our in silico study on the proteome of Chlamydia pneumoniae suggests an unprecedented idea of the etiology of lung cancer and have revealed that the infection of C. pneumoniae is associated with lung cancer development and growth. It is reasonable to assume that C. pneumoniae transports its proteins within host-intracellular organelles during infection, where they may work with host-cell proteome. The current study was performed for the prediction of nuclear targeting protein of C. pneumoniae in the host cell using bioinformatics predictors including ExPASy pI/Mw tool, nuclear localization signal (NLS) mapper, balanced sub cellular localization predictor (BaCeILo), and Hum-mPLoc 2.0. We predicted 47/1112 nuclear-targeting proteins of C. pneumoniae connected with several possible alterations in host replication and transcription during intracellular infection. These nuclear-targeting proteins may direct to competitive interactions of host and C. pneumoniae proteins with the availability of same substrate and may be involved as etiological agents in the growth and development of lung cancer. These novel findings are expected to access in better understanding of lung cancer etiology and identifying molecular targets for therapy.