Literature DB >> 11257097

Genome and genetic resources from the Cancer Genome Anatomy Project.

G J Riggins1, R L Strausberg.   

Abstract

The Cancer Genome Anatomy Project (CGAP) is a collaborative network of cancer researchers with a common goal: to decipher the genetic changes that occur during cancer formation and progression. The project brings together several recent technologies capable of high-throughput analysis to help achieve this goal. Automated sequencing of cDNA libraries is a primary focus and is geared towards providing a comprehensive and annotated set of human and mouse transcribed sequences. This effort includes full-length transcript sequence generated by CGAP's new Mammalian Gene Collection initiative. Single nucleotide polymorphisms (SNPs) within human gene sequences (Genetic Annotation Initiative) and chromosomal rearrangements within cancer cells (Cancer Chromosome Aberration Project) are also being cataloged as part of CGAP. Finally, to help determine gene expression patterns related to cancer, CGAP provides a quantitative catalog of data through its SAGEmap initiative. The genome and genetic analysis tools listed in this review are all freely distributed by CGAP (http://cgap.nci.nih.gov/) without restriction.

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Year:  2001        PMID: 11257097     DOI: 10.1093/hmg/10.7.663

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  29 in total

1.  An anatomy of normal and malignant gene expression.

Authors:  Kathy Boon; Elisson C Osorio; Susan F Greenhut; Carl F Schaefer; Jennifer Shoemaker; Kornelia Polyak; Patrice J Morin; Kenneth H Buetow; Robert L Strausberg; Sandro J De Souza; Gregory J Riggins
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-15       Impact factor: 11.205

2.  Gene-L'EXPO: a tool to extract knowledge From transcriptomes and find 'Literature-Sparse' relationships between genes and tissues.

Authors:  Teruyoshi Hishiki; Issei Tamada; Kousaku Okubo
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

3.  RPL38, FOSL1, and UPP1 are predominantly expressed in the pancreatic ductal epithelium.

Authors:  Fikret Sahin; Wanglong Qiu; Robb E Wilentz; Christine A Iacobuzio-Donahue; Andres Grosmark; Gloria H Su
Journal:  Pancreas       Date:  2005-03       Impact factor: 3.327

4.  Identification of Down's syndrome critical locus gene SIM2-s as a drug therapy target for solid tumors.

Authors:  Maurice Phil DeYoung; Matthew Tress; Ramaswamy Narayanan
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-03       Impact factor: 11.205

5.  SAGE analysis of transcriptome responses in Arabidopsis roots exposed to 2,4,6-trinitrotoluene.

Authors:  Drew R Ekman; W Walter Lorenz; Alan E Przybyla; N Lee Wolfe; Jeffrey F D Dean
Journal:  Plant Physiol       Date:  2003-10-09       Impact factor: 8.340

6.  Cancer reduces transcriptome specialization.

Authors:  Octavio Martínez; M Humberto Reyes-Valdés; Luis Herrera-Estrella
Journal:  PLoS One       Date:  2010-05-03       Impact factor: 3.240

7.  A sequence-based approach to identify reference genes for gene expression analysis.

Authors:  Raj Chari; Kim M Lonergan; Larissa A Pikor; Bradley P Coe; Chang Qi Zhu; Timothy H W Chan; Calum E MacAulay; Ming-Sound Tsao; Stephen Lam; Raymond T Ng; Wan L Lam
Journal:  BMC Med Genomics       Date:  2010-08-03       Impact factor: 3.063

8.  Tissue-specific and ubiquitous expression patterns from alternative promoters of human genes.

Authors:  Edwin Jacox; Valer Gotea; Ivan Ovcharenko; Laura Elnitski
Journal:  PLoS One       Date:  2010-08-18       Impact factor: 3.240

Review 9.  Integrating the multiple dimensions of genomic and epigenomic landscapes of cancer.

Authors:  Raj Chari; Kelsie L Thu; Ian M Wilson; William W Lockwood; Kim M Lonergan; Bradley P Coe; Chad A Malloff; Adi F Gazdar; Stephen Lam; Cathie Garnis; Calum E MacAulay; Carlos E Alvarez; Wan L Lam
Journal:  Cancer Metastasis Rev       Date:  2010-03       Impact factor: 9.264

10.  Differential remodeling of a T-cell transcriptome following CD8- versus CD3-induced signaling.

Authors:  S Hussain I Abidi; Tao Dong; Mai T Vuong; Vattipally B Sreenu; Sarah L Rowland-Jones; Edward J Evans; Simon J Davis
Journal:  Cell Res       Date:  2008-06       Impact factor: 25.617

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