Literature DB >> 16643826

The promise and perils of microarray analysis.

William H Catherino1, Phyllis C Leppert, James H Segars.   

Abstract

Microarray analysis has provided a novel means of identifying clues into the mechanisms of disease development. As a methodology, microarray analysis holds the promise for genome-wide screening in which 2 tissues (diseased and normal) are compared, and molecular pathways that defined the phenotype of the disease could be precisely defined. Alternatively, microarray experiments can be used to differentially compare pathologically similar diseased tissues to predict response to chemotherapy and risk of recurrence. However, the clinician should be aware that various sources of error can influence microarray analysis results. Sources of error can be minimized but not eliminated, explaining why meticulously conducted experiments in different laboratories or using different platforms result in different lists of genes. Confirmation and validation of genome-wide microarray results using ancillary methods remains a critical step. With proper confirmatory studies and cautious interpretation, microarray analysis represents a powerful tool for molecular discovery.

Mesh:

Year:  2006        PMID: 16643826     DOI: 10.1016/j.ajog.2006.02.035

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  2 in total

Review 1.  A new hypothesis about the origin of uterine fibroids based on gene expression profiling with microarrays.

Authors:  Phyllis C Leppert; William H Catherino; James H Segars
Journal:  Am J Obstet Gynecol       Date:  2006-04-25       Impact factor: 8.661

2.  Sample size calculation for microarray experiments with blocked one-way design.

Authors:  Sin-Ho Jung; Insuk Sohn; Stephen L George; Liping Feng; Phyllis C Leppert
Journal:  BMC Bioinformatics       Date:  2009-05-28       Impact factor: 3.169

  2 in total

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