Comparative analysis of protein-protein interactions in cancer-associated genes.
Comparative analysis of protein-protein interactions in cancer-associated genes.
复制标题
DOI：
10.1016/s1672-0229(08)60030-3
复制
发表时间：
2009-06
期刊：
影响因子：
--
通讯作者：
Guda C
中科院分区：
文献类型：
--
作者：
Guda P;Chittur SV;Guda C
蛋白质-蛋白质相互作用（PPI）已被广泛研究，以了解与癌症等不同疾病系统相关的生物过程或分子功能。虽然针对个体癌症的重点研究已经产生了有价值的信息，但尚未对不同癌症类型的数据集进行全球和比较分析。在这项工作中，我们对不同肿瘤组织（属于膀胱癌、结肠癌、肾癌和甲状腺癌）的微阵列中差异表达基因对应的PPI进行了生物信息学分析，并比较了它们相关的生物过程和分子功能（基于基因本体论术语）。我们确定了所有这些癌症以及仅针对一种或部分癌症类型特有的一组过程或功能。同样，比较核酸代谢中的蛋白质相互作用网络，以确定不同癌症类型的常见/特定蛋白质簇。我们的结果为进一步研究与癌症相关的蛋白质相互作用网络的实验研究提供了基础。这项工作中开发的方法也可用于研究类似的疾病系统。
Protein-protein interactions (PPIs) have been widely studied to understand the biological processes or molecular functions associated with different disease systems like cancer. While focused studies on individual cancers have generated valuable information, global and comparative analysis of datasets from different cancer types has not been done. In this work, we carried out bioinformatic analysis of PPIs corresponding to differentially expressed genes from microarrays of various tumor tissues (belonging to bladder, colon, kidney and thyroid cancers) and compared their associated biological processes and molecular functions (based on Gene Ontology terms). We identified a set of processes or functions that are common to all these cancers, as well as those that are specific to only one or partial cancer types. Similarly, protein interaction networks in nucleic acid metabolism were compared to identify the common/specific clusters of proteins across different cancer types. Our results provide a basis for further experimental investigations to study protein interaction networks associated with cancer. The methodology developed in this work can also be applied to study similar disease systems.