Literature DB >> 17660860

DNA microarrays: a powerful genomic tool for biomedical and clinical research.

Victor Trevino1, Francesco Falciani, Hugo A Barrera-Saldaña.   

Abstract

Among the many benefits of the Human Genome Project are new and powerful tools such as the genome-wide hybridization devices referred to as microarrays. Initially designed to measure gene transcriptional levels, microarray technologies are now used for comparing other genome features among individuals and their tissues and cells. Results provide valuable information on disease subcategories, disease prognosis, and treatment outcome. Likewise, they reveal differences in genetic makeup, regulatory mechanisms, and subtle variations and move us closer to the era of personalized medicine. To understand this powerful tool, its versatility, and how dramatically it is changing the molecular approach to biomedical and clinical research, this review describes the technology, its applications, a didactic step-by-step review of a typical microarray protocol, and a real experiment. Finally, it calls the attention of the medical community to the importance of integrating multidisciplinary teams to take advantage of this technology and its expanding applications that, in a slide, reveals our genetic inheritance and destiny.

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Year:  2007        PMID: 17660860      PMCID: PMC1933257          DOI: 10.2119/2006-00107.Trevino

Source DB:  PubMed          Journal:  Mol Med        ISSN: 1076-1551            Impact factor:   6.354


  56 in total

1.  Microarray data analysis: a practical approach for selecting differentially expressed genes.

Authors:  D M Mutch; A Berger; R Mansourian; A Rytz; M A Roberts
Journal:  Genome Biol       Date:  2001-11-16       Impact factor: 13.583

2.  Gene selection for sample classification based on gene expression data: study of sensitivity to choice of parameters of the GA/KNN method.

Authors:  L Li; C R Weinberg; T A Darden; L G Pedersen
Journal:  Bioinformatics       Date:  2001-12       Impact factor: 6.937

3.  Microarray-based detection and genotyping of viral pathogens.

Authors:  David Wang; Laurent Coscoy; Maxine Zylberberg; Pedro C Avila; Homer A Boushey; Don Ganem; Joseph L DeRisi
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-12       Impact factor: 11.205

4.  Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression.

Authors:  Daniel R Rhodes; Jianjun Yu; K Shanker; Nandan Deshpande; Radhika Varambally; Debashis Ghosh; Terrence Barrette; Akhilesh Pandey; Arul M Chinnaiyan
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-07       Impact factor: 11.205

5.  Microarray-based molecular margin methylation pattern analysis in colorectal carcinoma.

Authors:  Dingdong Zhang; Yunfei Bai; Qinyu Ge; Yingjuan Qiao; Yan Wang; Zaozao Chen; Zuhong Lu
Journal:  Anal Biochem       Date:  2006-05-19       Impact factor: 3.365

6.  Multiclass cancer diagnosis using tumor gene expression signatures.

Authors:  S Ramaswamy; P Tamayo; R Rifkin; S Mukherjee; C H Yeang; M Angelo; C Ladd; M Reich; E Latulippe; J P Mesirov; T Poggio; W Gerald; M Loda; E S Lander; T R Golub
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-11       Impact factor: 11.205

7.  Comparative microarray analysis of gene expression during apoptosis-induction by growth factor deprivation or protein kinase C inhibition.

Authors:  A Brachat; B Pierrat; A Brüngger; J Heim
Journal:  Oncogene       Date:  2000-10-19       Impact factor: 9.867

8.  Diagnosis of multiple cancer types by shrunken centroids of gene expression.

Authors:  Robert Tibshirani; Trevor Hastie; Balasubramanian Narasimhan; Gilbert Chu
Journal:  Proc Natl Acad Sci U S A       Date:  2002-05-14       Impact factor: 11.205

9.  Integrated assessment and prediction of transcription factor binding.

Authors:  Andreas Beyer; Christopher Workman; Jens Hollunder; Dörte Radke; Ulrich Möller; Thomas Wilhelm; Trey Ideker
Journal:  PLoS Comput Biol       Date:  2006-06-16       Impact factor: 4.475

10.  Congruence of tissue expression profiles from Gene Expression Atlas, SAGEmap and TissueInfo databases.

Authors:  Lukasz Huminiecki; Andrew T Lloyd; Kenneth H Wolfe
Journal:  BMC Genomics       Date:  2003-07-29       Impact factor: 3.969

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  53 in total

1.  Optimizing high dimensional gene expression studies for immune response following smallpox vaccination using Taqman® low density immune arrays.

Authors:  Ann L Oberg; Neelam Dhiman; Diane E Grill; Jenna E Ryan; Richard B Kennedy; Gregory A Poland
Journal:  J Immunol Methods       Date:  2011-01-28       Impact factor: 2.303

Review 2.  Diagnostic microarrays in hematologic oncology: applications of high- and low-density arrays.

Authors:  Tatyana V Nasedkina; Natalia A Guseva; Olga A Gra; Olga N Mityaeva; Alexander V Chudinov; Alexander S Zasedatelev
Journal:  Mol Diagn Ther       Date:  2009       Impact factor: 4.074

3.  Identification of genes and pathways involved in retinal neovascularization by microarray analysis of two animal models of retinal angiogenesis.

Authors:  Franco M Recchia; Lili Xu; John S Penn; Braden Boone; Phillip J Dexheimer
Journal:  Invest Ophthalmol Vis Sci       Date:  2009-10-15       Impact factor: 4.799

Review 4.  Thymic Germinal Centers and Corticosteroids in Myasthenia Gravis: an Immunopathological Study in 1035 Cases and a Critical Review.

Authors:  Frédérique Truffault; Vincent de Montpreville; Bruno Eymard; Tarek Sharshar; Rozen Le Panse; Sonia Berrih-Aknin
Journal:  Clin Rev Allergy Immunol       Date:  2017-02       Impact factor: 8.667

5.  Mapping the affinity landscape of Thrombin-binding aptamers on 2΄F-ANA/DNA chimeric G-Quadruplex microarrays.

Authors:  Jory Lietard; Hala Abou Assi; Irene Gómez-Pinto; Carlos González; Mark M Somoza; Masad J Damha
Journal:  Nucleic Acids Res       Date:  2017-02-28       Impact factor: 16.971

6.  Charge-neutral morpholino microarrays for nucleic acid analysis.

Authors:  Wanqiong Qiao; Sergey Kalachikov; Yatao Liu; Rastislav Levicky
Journal:  Anal Biochem       Date:  2012-12-12       Impact factor: 3.365

7.  Transcriptomic analysis of the developing and adult mouse cochlear sensory epithelia.

Authors:  Ibtihel Smeti; Said Assou; Etienne Savary; Saber Masmoudi; Azel Zine
Journal:  PLoS One       Date:  2012-08-10       Impact factor: 3.240

8.  Gene profiling of human adipose tissue during evoked inflammation in vivo.

Authors:  Rachana Shah; Yun Lu; Christine C Hinkle; Fiona C McGillicuddy; Roy Kim; Sridhar Hannenhalli; Thomas P Cappola; Sean Heffron; XingMei Wang; Nehal N Mehta; Mary Putt; Muredach P Reilly
Journal:  Diabetes       Date:  2009-07-06       Impact factor: 9.461

9.  A rapid and inexpensive labeling method for microarray gene expression analysis.

Authors:  Mario Ouellet; Paul D Adams; Jay D Keasling; Aindrila Mukhopadhyay
Journal:  BMC Biotechnol       Date:  2009-11-25       Impact factor: 2.563

10.  Estradiol stimulates vasodilatory and metabolic pathways in cultured human endothelial cells.

Authors:  Agua Sobrino; Manuel Mata; Andrés Laguna-Fernandez; Susana Novella; Pilar J Oviedo; Miguel Angel García-Pérez; Juan J Tarín; Antonio Cano; Carlos Hermenegildo
Journal:  PLoS One       Date:  2009-12-14       Impact factor: 3.240

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