Literature DB >> 12520005

PGDB: a curated and integrated database of genes related to the prostate.

Long-Cheng Li1, Hong Zhao, Hiroaki Shiina, Christopher J Kane, Rajvir Dahiya.   

Abstract

The Prostate Gene Database (PGDB: http://www.ucsf.edu/pgdb) is a curated and integrated database of genes or genomic loci related to the human prostate and prostatic diseases. Currently, PGDB covers genes involved in a number of molecular and genetic events of the prostate including gene amplification, mutation, gross deletion, methylation, polymorphism, linkage and over-expression, as published in the literature. Genes that are specifically expressed in prostate, as evidenced by analysis of data from expressed sequence tags (ESTs) and serial analysis of gene expression (SAGE), are also included. There are a total of 165 unique entries in the database. Users can either browse or query the PGDB through a web interface. For each gene, in addition to basic gene information and rich cross-references to other databases, inclusive and relevant literature references are provided to support the inclusion of the gene in the database. Detailed expression data calculated from the UniGene and SAGEmap databases are also presented.

Entities:  

Mesh:

Year:  2003        PMID: 12520005      PMCID: PMC165455          DOI: 10.1093/nar/gkg008

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  8 in total

1.  Prediction of gene function by genome-scale expression analysis: prostate cancer-associated genes.

Authors:  M G Walker; W Volkmuth; E Sprinzak; D Hodgson; T Klingler
Journal:  Genome Res       Date:  1999-12       Impact factor: 9.043

2.  SAGEmap: a public gene expression resource.

Authors:  A E Lash; C M Tolstoshev; L Wagner; G D Schuler; R L Strausberg; G J Riggins; S F Altschul
Journal:  Genome Res       Date:  2000-07       Impact factor: 9.043

3.  Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders.

Authors:  Ada Hamosh; Alan F Scott; Joanna Amberger; Carol Bocchini; David Valle; Victor A McKusick
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

4.  PEDB: the Prostate Expression Database.

Authors:  V Hawkins; D Doll; R Bumgarner; T Smith; C Abajian; L Hood; P S Nelson
Journal:  Nucleic Acids Res       Date:  1999-01-01       Impact factor: 16.971

Review 5.  Pieces of the puzzle: expressed sequence tags and the catalog of human genes.

Authors:  G D Schuler
Journal:  J Mol Med (Berl)       Date:  1997-10       Impact factor: 4.599

6.  Cancer statistics, 1999.

Authors:  S H Landis; T Murray; S Bolden; P A Wingo
Journal:  CA Cancer J Clin       Date:  1999 Jan-Feb       Impact factor: 508.702

7.  OrCGDB: a database of genes involved in oral cancer.

Authors:  A E Levine; D L Steffen
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

8.  Cumulative prevalence of prostatism matches the autopsy prevalence of benign prostatic hyperplasia.

Authors:  H A Guess; H M Arrighi; E J Metter; J L Fozard
Journal:  Prostate       Date:  1990       Impact factor: 4.104

  8 in total
  22 in total

1.  Progression to metastatic stage in a cellular model of prostate cancer is associated with methylation of the androgen receptor gene and transcriptional suppression of the insulin-like growth factor-I receptor gene.

Authors:  Hagit Schayek; Itay Bentov; Shihua Sun; Stephen R Plymate; Haim Werner
Journal:  Exp Cell Res       Date:  2010-03-23       Impact factor: 3.905

2.  COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method.

Authors:  Haisu Ma; Eric E Schadt; Lee M Kaplan; Hongyu Zhao
Journal:  Bioinformatics       Date:  2011-03-16       Impact factor: 6.937

3.  Identifying gene-disease associations using centrality on a literature mined gene-interaction network.

Authors:  Arzucan Ozgür; Thuy Vu; Günes Erkan; Dragomir R Radev
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

4.  Literature-based discovery of IFN-gamma and vaccine-mediated gene interaction networks.

Authors:  Arzucan Ozgür; Zuoshuang Xiang; Dragomir R Radev; Yongqun He
Journal:  J Biomed Biotechnol       Date:  2010-06-03

5.  Biomarker identification for prostate cancer and lymph node metastasis from microarray data and protein interaction network using gene prioritization method.

Authors:  Carlos Roberto Arias; Hsiang-Yuan Yeh; Von-Wun Soo
Journal:  ScientificWorldJournal       Date:  2012-05-02

6.  Integrative pathway analysis of genome-wide association studies and gene expression data in prostate cancer.

Authors:  Peilin Jia; Yang Liu; Zhongming Zhao
Journal:  BMC Syst Biol       Date:  2012-12-17

7.  CCDB: a curated database of genes involved in cervix cancer.

Authors:  Subhash M Agarwal; Dhwani Raghav; Harinder Singh; G P S Raghava
Journal:  Nucleic Acids Res       Date:  2010-11-02       Impact factor: 16.971

8.  DDPC: Dragon Database of Genes associated with Prostate Cancer.

Authors:  Monique Maqungo; Mandeep Kaur; Samuel K Kwofie; Aleksandar Radovanovic; Ulf Schaefer; Sebastian Schmeier; Ekow Oppon; Alan Christoffels; Vladimir B Bajic
Journal:  Nucleic Acids Res       Date:  2010-09-29       Impact factor: 16.971

9.  Detecting disease associated modules and prioritizing active genes based on high throughput data.

Authors:  Yu-Qing Qiu; Shihua Zhang; Xiang-Sun Zhang; Luonan Chen
Journal:  BMC Bioinformatics       Date:  2010-01-13       Impact factor: 3.169

10.  PEpiD: a prostate epigenetic database in mammals.

Authors:  Jiejun Shi; Jian Hu; Qing Zhou; Yanhua Du; Cizhong Jiang
Journal:  PLoS One       Date:  2013-05-16       Impact factor: 3.240

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