| URL: | http://crdd.osdd.net/raghava/pcmdb |
| Full name: | Pancreatic Cancer methylation database |
| Description: | PCMdb is a database of methylated genes found in pancreatic cancer cell lines and tissues. In other words, it provides comprehensive information about methylation status of various genes in Pancreatic Cancer (PCa) and their comparison with transcriptomics and genomics landscape. It is a manually curated database where information is collected and compiled from literature/databases. This database will be very useful to discover novel biomakers for PCa as well as to understand the role of methylation in drug resistance. |
| Year founded: | 2014 |
| Last update: | |
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| Accessibility: |
Accessible
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| Country/Region: | India |
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| University/Institution: | Institute of Microbial Technology |
| Address: | Sector 39-A, Chandigarh-160036, India |
| City: | Chandigarh |
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| Country/Region: | India |
| Contact name (PI/Team): | Gajendra P. S. Raghava |
| Contact email (PI/Helpdesk): | raghava@iiitd.ac.in |
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PCMdb: pancreatic cancer methylation database. [PMID: 24569397]
Pancreatic cancer is the fifth most aggressive malignancy and urgently requires new biomarkers to facilitate early detection. For providing impetus to the biomarker discovery, we have developed Pancreatic Cancer Methylation Database (PCMDB, http://crdd.osdd.net/raghava/pcmdb/), a comprehensive resource dedicated to methylation of genes in pancreatic cancer. Data was collected and compiled manually from published literature. PCMdb has 65907 entries for methylation status of 4342 unique genes. In PCMdb, data was compiled for both cancer cell lines (53565 entries for 88 cell lines) and cancer tissues (12342 entries for 3078 tissue samples). Among these entries, 47.22% entries reported a high level of methylation for the corresponding genes while 10.87% entries reported low level of methylation. PCMdb covers five major subtypes of pancreatic cancer; however, most of the entries were compiled for adenocarcinomas (88.38%) and mucinous neoplasms (5.76%). A user-friendly interface has been developed for data browsing, searching and analysis. We anticipate that PCMdb will be helpful for pancreatic cancer biomarker discovery. |