Literature DB >> 26316313

Consolidation of proteomics data in the Cancer Proteomics database.

Magnus Ø Arntzen1,2, Paul Boddie1, Rahel Frick1, Christian J Koehler1,3, Bernd Thiede1,3.   

Abstract

Cancer is a class of diseases characterized by abnormal cell growth and one of the major reasons for human deaths. Proteins are involved in the molecular mechanisms leading to cancer, furthermore they are affected by anti-cancer drugs, and protein biomarkers can be used to diagnose certain cancer types. Therefore, it is important to explore the proteomics background of cancer. In this report, we developed the Cancer Proteomics database to re-interrogate published proteome studies investigating cancer. The database is divided in three sections related to cancer processes, cancer types, and anti-cancer drugs. Currently, the Cancer Proteomics database contains 9778 entries of 4118 proteins extracted from 143 scientific articles covering all three sections: cell death (cancer process), prostate cancer (cancer type) and platinum-based anti-cancer drugs including carboplatin, cisplatin, and oxaliplatin (anti-cancer drugs). The detailed information extracted from the literature includes basic information about the articles (e.g., PubMed ID, authors, journal name, publication year), information about the samples (type, study/reference, prognosis factor), and the proteomics workflow (Subcellular fractionation, protein, and peptide separation, mass spectrometry, quantification). Useful annotations such as hyperlinks to UniProt and PubMed were included. In addition, many filtering options were established as well as export functions. The database is freely available at http://cancerproteomics.uio.no.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Bioinformatics; Cancer; Cell death; Cisplatin; Database; Prostate cancer

Mesh:

Substances:

Year:  2015        PMID: 26316313     DOI: 10.1002/pmic.201500144

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  5 in total

1.  Anti-metastatic effect of ranolazine in an in vivo rat model of prostate cancer, and expression of voltage-gated sodium channel protein in human prostate.

Authors:  Ilknur Bugan; Selma Kucuk; Zeynep Karagoz; Scott P Fraser; Handan Kaya; Andrew Dodson; Christopher S Foster; Seyhan Altun; Mustafa B A Djamgoz
Journal:  Prostate Cancer Prostatic Dis       Date:  2019-03-20       Impact factor: 5.554

2.  dbDEPC 3.0: the database of differentially expressed proteins in human cancer with multi-level annotation and drug indication.

Authors:  Qingmin Yang; Yuqi Zhang; Hui Cui; Lanming Chen; Yong Zhao; Yong Lin; Menghuan Zhang; Lu Xie
Journal:  Database (Oxford)       Date:  2018-01-01       Impact factor: 3.451

3.  Identifying autophagy gene-associated module biomarkers through construction and analysis of an autophagy-mediated ceRNA‑ceRNA interaction network in colorectal cancer.

Authors:  Kun Qian; Huiying Huang; Jing Jiang; Dahua Xu; Shengnan Guo; Ying Cui; Hao Wang; Liqiang Wang; Kongning Li
Journal:  Int J Oncol       Date:  2018-06-18       Impact factor: 5.650

4.  Immunosignature Screening for Multiple Cancer Subtypes Based on Expression Rule.

Authors:  Lei Chen; XiaoYong Pan; Tao Zeng; Yu-Hang Zhang; YunHua Zhang; Tao Huang; Yu-Dong Cai
Journal:  Front Bioeng Biotechnol       Date:  2019-11-29

5.  The Cancer Research Database (CRDB): Integrated Platform to Gain Statistical Insight Into the Correlation Between Cancer and COVID-19.

Authors:  Shahid Ullah; Tianshun Gao; Farhan Ullah; Wajeeha Rahman; Dimitrios A Karras; Anees Ullah; Gulzar Ahmad; Muhammad Ijaz
Journal:  JMIR Cancer       Date:  2022-06-10
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.