Literature DB >> 17873407

Microarray analysis: basic strategies for successful experiments.

Scott A Ness1.   

Abstract

Microarrays offer a powerful approach to the analysis of gene expression that can be used for a wide variety of experimental purposes. However, there are several types of microarray platforms that are available. In addition, microarray experiments are expensive and generate complicated data sets that can be difficult to interpret. Success with microarray approaches requires a sound experimental design and a coordinated and appropriate use of statistical tools. Here, the advantages and pitfalls of utilizing microarrays are discussed, as are practical strategies to help novice users succeed with this method that can empower them with the ability to assay changes in gene expression at the whole genome level.

Entities:  

Mesh:

Year:  2007        PMID: 17873407     DOI: 10.1007/s12033-007-0012-6

Source DB:  PubMed          Journal:  Mol Biotechnol        ISSN: 1073-6085            Impact factor:   2.860


  23 in total

1.  Adjustment of systematic microarray data biases.

Authors:  Monica Benito; Joel Parker; Quan Du; Junyuan Wu; Dong Xiang; Charles M Perou; J S Marron
Journal:  Bioinformatics       Date:  2004-01-01       Impact factor: 6.937

2.  A Bayesian network classification methodology for gene expression data.

Authors:  Paul Helman; Robert Veroff; Susan R Atlas; Cheryl Willman
Journal:  J Comput Biol       Date:  2004       Impact factor: 1.479

3.  Genomewide single nucleotide polymorphism microarray mapping in basal cell carcinomas unveils uniparental disomy as a key somatic event.

Authors:  Muy-Teck Teh; Diana Blaydon; Tracy Chaplin; Nicola J Foot; Spyros Skoulakis; Manoj Raghavan; Catherine A Harwood; Charlotte M Proby; Michael P Philpott; Bryan D Young; David P Kelsell
Journal:  Cancer Res       Date:  2005-10-01       Impact factor: 12.701

4.  Oncogenic mutations cause dramatic, qualitative changes in the transcriptional activity of c-Myb.

Authors:  F Liu; W Lei; J P O'Rourke; S A Ness
Journal:  Oncogene       Date:  2006-02-02       Impact factor: 9.867

5.  Phosphorylation of p27Kip1 on serine 10 is required for its binding to CRM1 and nuclear export.

Authors:  Noriko Ishida; Taichi Hara; Takumi Kamura; Minoru Yoshida; Keiko Nakayama; Keiichi I Nakayama
Journal:  J Biol Chem       Date:  2002-03-11       Impact factor: 5.157

6.  Use of cDNA microarrays to analyze dioxin-induced changes in human liver gene expression.

Authors:  F W Frueh; K C Hayashibara; P O Brown; J P Whitlock
Journal:  Toxicol Lett       Date:  2001-07-06       Impact factor: 4.372

7.  Prognostically useful gene-expression profiles in acute myeloid leukemia.

Authors:  Peter J M Valk; Roel G W Verhaak; M Antoinette Beijen; Claudia A J Erpelinck; Sahar Barjesteh van Waalwijk van Doorn-Khosrovani; Judith M Boer; H Berna Beverloo; Michael J Moorhouse; Peter J van der Spek; Bob Löwenberg; Ruud Delwel
Journal:  N Engl J Med       Date:  2004-04-15       Impact factor: 91.245

8.  MicroRNA gene expression deregulation in human breast cancer.

Authors:  Marilena V Iorio; Manuela Ferracin; Chang-Gong Liu; Angelo Veronese; Riccardo Spizzo; Silvia Sabbioni; Eros Magri; Massimo Pedriali; Muller Fabbri; Manuela Campiglio; Sylvie Ménard; Juan P Palazzo; Anne Rosenberg; Piero Musiani; Stefano Volinia; Italo Nenci; George A Calin; Patrizia Querzoli; Massimo Negrini; Carlo M Croce
Journal:  Cancer Res       Date:  2005-08-15       Impact factor: 12.701

9.  Gene expression signatures define novel oncogenic pathways in T cell acute lymphoblastic leukemia.

Authors:  Adolfo A Ferrando; Donna S Neuberg; Jane Staunton; Mignon L Loh; Christine Huard; Susana C Raimondi; Fred G Behm; Ching Hon Pui; James R Downing; D Gary Gilliland; Eric S Lander; Todd R Golub; A Thomas Look
Journal:  Cancer Cell       Date:  2002-02       Impact factor: 31.743

10.  Distinct changes in gene expression induced by A-Myb, B-Myb and c-Myb proteins.

Authors:  John J Rushton; Lisa M Davis; Wanli Lei; Xianming Mo; Achim Leutz; Scott A Ness
Journal:  Oncogene       Date:  2003-01-16       Impact factor: 9.867

View more
  4 in total

Review 1.  Application of "omics" to prion biomarker discovery.

Authors:  Rhiannon L C H Huzarewich; Christine G Siemens; Stephanie A Booth
Journal:  J Biomed Biotechnol       Date:  2010-03-04

Review 2.  Conventional and molecular diagnostic testing for the acute neurologic patient.

Authors:  Peter P Nghiem; Scott J Schatzberg
Journal:  J Vet Emerg Crit Care (San Antonio)       Date:  2010-02

3.  Whole Blood Gene Expression Profiling in Preclinical and Clinical Cattle Infected with Atypical Bovine Spongiform Encephalopathy.

Authors:  Elena Xerxa; Maura Barbisin; Maria Novella Chieppa; Helena Krmac; Elena Vallino Costassa; Paolo Vatta; Marion Simmons; Maria Caramelli; Cristina Casalone; Cristiano Corona; Giuseppe Legname
Journal:  PLoS One       Date:  2016-04-13       Impact factor: 3.240

Review 4.  Innate immune modulation by RNA viruses: emerging insights from functional genomics.

Authors:  Michael G Katze; Jamie L Fornek; Robert E Palermo; Kathie-Anne Walters; Marcus J Korth
Journal:  Nat Rev Immunol       Date:  2008-08       Impact factor: 53.106

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.