Thomas Joji Kurian, Kim Min-Sik, Balakrishnan Lavanya, Nanjappa Vishalakshi, Raju Rajesh, Marimuthu Arivusudar, Radhakrishnan Aneesha, Muthusamy Babylakshmi, Khan Aafaque Ahmad, Sakamuri Sruthi, Tankala Shantal Gupta, Singal Mukul, Nair Bipin, Sirdeshmukh Ravi, Chatterjee Aditi, Prasad T S Keshava, Maitra Anirban, Gowda Harsha, Hruban Ralph H, Pandey Akhilesh
Institute of Bioinformatics; International Technology Park; Bangalore, India; Amrita School of Biotechnology; Amrita Vishwa Vidyapeetham; Kollam, Kerala India.
McKusick-Nathans Institute of Genetic Medicine; Johns Hopkins University School of Medicine; Baltimore, MD USA; Department of Biological Chemistry; Johns Hopkins University School of Medicine; Baltimore, MD USA.
Cancer Biol Ther. 2014 Aug;15(8):963-7. doi: 10.4161/cbt.29188. Epub 2014 May 19.
Pancreatic cancer is the fourth leading cause of cancer-related death in the world. The etiology of pancreatic cancer is heterogeneous with a wide range of alterations that have already been reported at the level of the genome, transcriptome, and proteome. The past decade has witnessed a large number of experimental studies using high-throughput technology platforms to identify genes whose expression at the transcript or protein levels is altered in pancreatic cancer. Based on expression studies, a number of molecules have also been proposed as potential biomarkers for diagnosis and prognosis of this deadly cancer. Currently, there are no repositories which provide an integrative view of multiple Omics data sets from published research on pancreatic cancer. Here, we describe the development of a web-based resource, Pancreatic Cancer Database (http://www.pancreaticcancerdatabase.org), as a unified platform for pancreatic cancer research. PCD contains manually curated information pertaining to quantitative alterations in miRNA, mRNA, and proteins obtained from small-scale as well as high-throughput studies of pancreatic cancer tissues and cell lines. We believe that PCD will serve as an integrative platform for scientific community involved in pancreatic cancer research.
胰腺癌是全球癌症相关死亡的第四大主要原因。胰腺癌的病因具有异质性,在基因组、转录组和蛋白质组水平上已有大量改变被报道。过去十年见证了大量使用高通量技术平台的实验研究,以鉴定那些在胰腺癌中转录或蛋白质水平表达发生改变的基因。基于表达研究,一些分子也被提议作为这种致命癌症诊断和预后的潜在生物标志物。目前,尚无储存库能提供已发表的胰腺癌研究中多个组学数据集的综合视图。在此,我们描述了一个基于网络的资源——胰腺癌数据库(http://www.pancreaticcancerdatabase.org)的开发,作为胰腺癌研究的统一平台。PCD包含从胰腺癌组织和细胞系的小规模以及高通量研究中获得的有关miRNA、mRNA和蛋白质定量改变的人工整理信息。我们相信PCD将为参与胰腺癌研究的科学界提供一个综合平台。