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.
Cite this Research Publication
Joji Kurian Thomas, Min-Sik Kim, Lavanya Balakrishnan, Vishalakshi Nanjappa, Rajesh Raju, Arivusudar Marimuthu, Aneesha Radhakrishnan, Babylakshmi Muthusamy, Aafaque Ahmad Khan, Sruthi Sakamuri, Dr. Bipin G. Nair, Shantal Gupta Tankala, Mukul Singal, Ravi Sirdeshmukh, Aditi Chatterjee, T. S. Keshava Prasad, Anirban Maitra, Harsha Gowda, Ralph H Hruban, and Akhilesh Pandey, “Pancreatic Cancer Database: An integrative resource for pancreatic cancer.”, Cancer biology & therapy, vol. 15, pp. 963-967, 2014.
Publication Type:
Journal ArticleAuthors:
Joji Kurian Thomas; Min-Sik Kim; Lavanya Balakrishnan; Vishalakshi Nanjappa; Rajesh Raju; Arivusudar Marimuthu; Aneesha Radhakrishnan; Babylakshmi Muthusamy; Aafaque Ahmad Khan; Sruthi Sakamuri; Dr. Bipin G. Nair; Shantal Gupta Tankala; Mukul Singal; Ravi Sirdeshmukh; Aditi Chatterjee; T. S. Keshava Prasad; Anirban Maitra; Harsha Gowda; Ralph H Hruban; Akhilesh PandeySource:
Cancer biology & therapy, Volume 15, Number 8, p.963-967 (2014)URL:
http://www.tandfonline.com/doi/abs/10.4161/cbt.29188#.Va8o56SqqkpAbstract:
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.
Cite this Research Publication
Joji Kurian Thomas, Min-Sik Kim, Lavanya Balakrishnan, Vishalakshi Nanjappa, Rajesh Raju, Arivusudar Marimuthu, Aneesha Radhakrishnan, Babylakshmi Muthusamy, Aafaque Ahmad Khan, Sruthi Sakamuri, Dr. Bipin G. Nair, Shantal Gupta Tankala, Mukul Singal, Ravi Sirdeshmukh, Aditi Chatterjee, T. S. Keshava Prasad, Anirban Maitra, Harsha Gowda, Ralph H Hruban, and Akhilesh Pandey, “Pancreatic Cancer Database: An integrative resource for pancreatic cancer.”, Cancer biology & therapy, vol. 15, pp. 963-967, 2014.