Literature DB >> 16648115

Genomic platforms for cancer research: potential diagnostic and prognostic applications in clinical oncology.

Pedro Jares1, Elías Campo.   

Abstract

The completion of the Human Genome Project and the achievement of similar goals in other organisms have generated a huge amount of free available information with high potential in biomedical sciences. However, the identification of the DNA sequence was only a starting point for genomic research. This research has been facilitated by the development of new powerful genomic tools that allow the use of the wide amount of genomic information generated to address new biological and biomedical questions. One of these widely accepted and accessible technologies is DNA microarrays. Although the most popular use of DNA microarrays is gene expression profiling, due to the continuous advances in microarray technologies, scientists have also successfully used them for multiple applications, including genotyping, re-sequencing, DNA copy number analysis and DNA methylation. In short, DNA microarrays are changing the way cancer research scientists are addressing different biological questions and will allow the translation of genome research to clinical practice.

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Year:  2006        PMID: 16648115     DOI: 10.1007/s12094-006-0006-z

Source DB:  PubMed          Journal:  Clin Transl Oncol        ISSN: 1699-048X            Impact factor:   3.405


  83 in total

Review 1.  Expression profiling: DNA arrays in many guises.

Authors:  S Granjeaud; F Bertucci; B R Jordan
Journal:  Bioessays       Date:  1999-09       Impact factor: 4.345

2.  A microarray-based method for detecting methylated loci.

Authors:  Izuho Hatada; Azusa Kato; Sumiyo Morita; Yayoi Obata; Kayuri Nagaoka; Akira Sakurada; Masami Sato; Akira Horii; Atsumi Tsujimoto; Kenichi Matsubara
Journal:  J Hum Genet       Date:  2002       Impact factor: 3.172

Review 3.  Molecular interactions on microarrays.

Authors:  E Southern; K Mir; M Shchepinov
Journal:  Nat Genet       Date:  1999-01       Impact factor: 38.330

4.  Matrix-based comparative genomic hybridization: biochips to screen for genomic imbalances.

Authors:  S Solinas-Toldo; S Lampel; S Stilgenbauer; J Nickolenko; A Benner; H Döhner; T Cremer; P Lichter
Journal:  Genes Chromosomes Cancer       Date:  1997-12       Impact factor: 5.006

5.  Comparative genomic hybridization using oligonucleotide microarrays and total genomic DNA.

Authors:  Michael T Barrett; Alicia Scheffer; Amir Ben-Dor; Nick Sampas; Doron Lipson; Robert Kincaid; Peter Tsang; Bo Curry; Kristin Baird; Paul S Meltzer; Zohar Yakhini; Laurakay Bruhn; Stephen Laderman
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-10       Impact factor: 11.205

6.  Parallel genotyping of human SNPs using generic high-density oligonucleotide tag arrays.

Authors:  J B Fan; X Chen; M K Halushka; A Berno; X Huang; T Ryder; R J Lipshutz; D J Lockhart; A Chakravarti
Journal:  Genome Res       Date:  2000-06       Impact factor: 9.043

7.  Dissecting complex epigenetic alterations in breast cancer using CpG island microarrays.

Authors:  P S Yan; C M Chen; H Shi; F Rahmatpanah; S H Wei; C W Caldwell; T H Huang
Journal:  Cancer Res       Date:  2001-12-01       Impact factor: 12.701

8.  Functional epigenomics identifies genes frequently silenced in prostate cancer.

Authors:  Dimitri Lodygin; Alexey Epanchintsev; Antje Menssen; Joachim Diebold; Heiko Hermeking
Journal:  Cancer Res       Date:  2005-05-15       Impact factor: 12.701

9.  Analysis of chromosome breakpoints in neuroblastoma at sub-kilobase resolution using fine-tiling oligonucleotide array CGH.

Authors:  Rebecca R Selzer; Todd A Richmond; Nathan J Pofahl; Roland D Green; Peggy S Eis; Prakash Nair; Arthur R Brothman; Raymond L Stallings
Journal:  Genes Chromosomes Cancer       Date:  2005-11       Impact factor: 5.006

10.  Relation of gene expression phenotype to immunoglobulin mutation genotype in B cell chronic lymphocytic leukemia.

Authors:  A Rosenwald; A A Alizadeh; G Widhopf; R Simon; R E Davis; X Yu; L Yang; O K Pickeral; L Z Rassenti; J Powell; D Botstein; J C Byrd; M R Grever; B D Cheson; N Chiorazzi; W H Wilson; T J Kipps; P O Brown; L M Staudt
Journal:  J Exp Med       Date:  2001-12-03       Impact factor: 14.307

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  3 in total

Review 1.  Laser capture microdissection: Big data from small samples.

Authors:  Soma Datta; Lavina Malhotra; Ryan Dickerson; Scott Chaffee; Chandan K Sen; Sashwati Roy
Journal:  Histol Histopathol       Date:  2015-04-20       Impact factor: 2.303

2.  An Empirical Evaluation of Normalization Methods for MicroRNA Arrays in a Liposarcoma Study.

Authors:  Li-Xuan Qin; Tom Tuschl; Samuel Singer
Journal:  Cancer Inform       Date:  2013-03-18

3.  An integrative analysis of microRNA and mRNA expression--a case study.

Authors:  Li-Xuan Qin
Journal:  Cancer Inform       Date:  2008-06-17
  3 in total

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