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PMID: 14681473 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

RTCGD: retroviral tagged cancer gene database.

Nucleic acids research ·Vol. 32 ·No. Database issue ·2004-01-01 ·Pages D523-7

Akagi K, Suzuki T, Stephens RM, Jenkins NA, Copeland NG

Abstract

Retroviral insertional mutagenesis in mouse hematopoietic tumors provides a potent cancer gene discovery tool in the post-genome-sequence era. To manage multiple high-throughput insertional mutagenesis screening projects, we developed the Retroviral Tagged Cancer Gene Database (RTCGD; http://RTCGD.ncifcrf.gov). A sequence analysis pipeline determines the genomic position of each retroviral integration site cloned from a mouse tumor, the distance between it and the nearest candidate disease gene(s) and its orientation with respect to the candidate gene(s). The pipeline also identifies genomic regions that are targets of retroviral integration in more than one tumor (common integration sites, CISs) and are thus likely to encode a disease gene. Users can search the database using a specified gene symbol, chromosome number or tumor model to identify both CIS genes and unique viral integration sites or compare the integration sites cloned by different laboratories using different models. As a default setting, users first review the CIS Lists and then Clone Lists. CIS Lists describe CISs and their candidate disease genes along with links to other public databases and clone lists. Clone Lists describe the viral integration site clones along with the tumor model and tumor type from which they were cloned, candidate disease gene(s), genomic position and orientation of the integrated provirus with respect to the candidate gene(s). It also provides a pictorial view of the genomic location of each integration site relative to neighboring genes and markers. Researchers can identify integrations of interest and compare their results with those for multiple tumor models and tumor types using RTCGD.

MeSH Terms
Animals Cloning, Molecular Computational Biology Databases, Genetic Genetic Markers/genetics Genetic Vectors/genetics Genome Genomics Humans Information Storage and Retrieval Internet Mice Mutagenesis, Insertional/genetics Neoplasms/genetics Physical Chromosome Mapping Retroviridae/genetics
Chemicals
Genetic Markers
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Akagi Keiko
Mouse Cancer Genetics Program, National Cancer Institute, Frederick, MD 21701, USA.
Suzuki Takeshi
Stephens Robert M
Jenkins Nancy A
Copeland Neal G
References (21)
21 references, click to expand
  1. MGD: the Mouse Genome Database.
    Nucleic Acids Res. 2003 Jan 1;31(1):193-5 PMID: 12519980
  2. Hoxa9 transforms primary bone marrow cells through specific collaboration with Meis1a but not Pbx1b.
    EMBO J. 1998 Jul 1;17(13):3714-25 PMID: 9649441
  3. Knowledge acquisition, consistency checking and concurrency control for Gene Ontology (GO).
    Bioinformatics. 2003 Jan 22;19(2):241-8 PMID: 12538245
  4. NCBI Reference Sequence project: update and current status.
    Nucleic Acids Res. 2003 Jan 1;31(1):34-7 PMID: 12519942
  5. Ensembl 2002: accommodating comparative genomics.
    Nucleic Acids Res. 2003 Jan 1;31(1):38-42 PMID: 12519943
  6. The UCSC Genome Browser Database.
    Nucleic Acids Res. 2003 Jan 1;31(1):51-4 PMID: 12519945
  7. Leukaemia disease genes: large-scale cloning and pathway predictions.
    Nat Genet. 1999 Nov;23(3):348-53 PMID: 10610183
  8. The Hedgehog and Wnt signalling pathways in cancer.
    Nature. 2001 May 17;411(6835):349-54 PMID: 11357142
  9. The KEGG databases at GenomeNet.
    Nucleic Acids Res. 2002 Jan 1;30(1):42-6 PMID: 11752249
  10. BLAT--the BLAST-like alignment tool.
    Genome Res. 2002 Apr;12(4):656-64 PMID: 11932250
  11. The human genome browser at UCSC.
    Genome Res. 2002 Jun;12(6):996-1006 PMID: 12045153
  12. Identification of oncogenes collaborating with p27Kip1 loss by insertional mutagenesis and high-throughput insertion site analysis.
    Proc Natl Acad Sci U S A. 2002 Aug 20;99(17):11293-8 PMID: 12151601
  13. New genes involved in cancer identified by retroviral tagging.
    Nat Genet. 2002 Sep;32(1):166-74 PMID: 12185365
  14. Genome-wide retroviral insertional tagging of genes involved in cancer in Cdkn2a-deficient mice.
    Nat Genet. 2002 Sep;32(1):160-5 PMID: 12185367
  15. Initial sequencing and comparative analysis of the mouse genome.
    Nature. 2002 Dec 5;420(6915):520-62 PMID: 12466850
  16. Retroviral insertional mutagenesis: tagging cancer pathways.
    Adv Cancer Res. 2003;88:53-99 PMID: 12665053
  17. Connecting sequence and biology in the laboratory mouse.
    Genome Res. 2003 Jun;13(6B):1505-19 PMID: 12819150
  18. Novel use of polymerase chain reaction to amplify cellular DNA adjacent to an integrated provirus.
    J Virol. 1989 May;63(5):1924-8 PMID: 2704070
  19. Amplification and sequence analysis of DNA flanking integrated proviruses by a simple two-step polymerase chain reaction method.
    J Virol. 1993 Dec;67(12):7118-24 PMID: 8230434
  20. A rapid RT-PCR based method to isolate complementary DNA fragments flanking retrovirus integration sites.
    Nucleic Acids Res. 1997 Nov 1;25(21):4419-21 PMID: 9336478
  21. Genome-based identification of cancer genes by proviral tagging in mouse retrovirus-induced T-cell lymphomas.
    J Virol. 2003 Feb;77(3):2056-62 PMID: 12525640
Article Info
Journal
Nucleic acids research
Abbr.
Nucleic Acids Res
ISSN
1362-4962
Published
2004-01-01
Pages
D523-7
Language
English
Region
England
NLM ID
0411011
PMCID
PMC308748
Subset
IM
Analysis Services
Analysis Services

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