Document Detail


A guide to issues in microarray analysis: application to endometrial biology.
MedLine Citation:
PMID:  15985627     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Within the last decade, the development of DNA microarray technology has enabled the simultaneous measurement of thousands of gene transcripts in a biological sample. Conducting a microarray study is a multi-step process; starting with a well-defined biological question, moving through experimental design, target RNA preparation, microarray hybridisation, image acquisition and data analysis--finishing with a biological interpretation requiring further study. Advances continue to be made in microarray quality and methods of statistical analysis, improving the reliability and therefore appeal of microarray analysis for a wide range of biological questions. The purpose of this review is to provide both an introduction to microarray methodology, as well as a practical guide to the use of microarrays for gene expression analysis, using endometrial biology as an example of the applications of this technology. While recommendations are based on previous experience in our laboratory, this review also summarises the methods currently considered to be best practice in the field.
Authors:
Christine A White; Lois A Salamonsen
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Review    
Journal Detail:
Title:  Reproduction (Cambridge, England)     Volume:  130     ISSN:  1470-1626     ISO Abbreviation:  Reproduction     Publication Date:  2005 Jul 
Date Detail:
Created Date:  2005-06-29     Completed Date:  2005-12-28     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  100966036     Medline TA:  Reproduction     Country:  England    
Other Details:
Languages:  eng     Pagination:  1-13     Citation Subset:  IM    
Affiliation:
Prince Henry's Institute of Medical Research, PO Box 5152, Clayton, Victoria, 3168, Australia. christine.white@phimr.monash.edu.au
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MeSH Terms
Descriptor/Qualifier:
Animals
Data Interpretation, Statistical
Endometrium / metabolism*
Female
Gene Expression Profiling*
Humans
Menstrual Cycle / physiology
Oligonucleotide Array Sequence Analysis*
Pregnancy
Proteins / metabolism*
Research Design
Chemical
Reg. No./Substance:
0/Proteins

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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