| A guide to issues in microarray analysis: application to endometrial biology. | |
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MedLine Citation:
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PMID: 15985627 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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Christine A White; Lois A Salamonsen |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Review |
Journal Detail:
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Title: Reproduction (Cambridge, England) Volume: 130 ISSN: 1470-1626 ISO Abbreviation: Reproduction Publication Date: 2005 Jul |
Date Detail:
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Created Date: 2005-06-29 Completed Date: 2005-12-28 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 100966036 Medline TA: Reproduction Country: England |
Other Details:
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Languages: eng Pagination: 1-13 Citation Subset: IM |
Affiliation:
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Prince Henry's Institute of Medical Research, PO Box 5152, Clayton, Victoria, 3168, Australia. christine.white@phimr.monash.edu.au |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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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:
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0/Proteins |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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