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Reproducibility, Fidelity, and Discriminant Validity of mRNA Amplification for Microarray Analysis from Primary Hematopoietic Cells

Li, Liang and Roden, Joe and Shapiro, Bruce E. and Wold, Barbara J. and Bhatia, Smita and Forman, Stephen J. and Bhatia, Ravi (2005) Reproducibility, Fidelity, and Discriminant Validity of mRNA Amplification for Microarray Analysis from Primary Hematopoietic Cells. Journal of Molecular Diagnostics, 7 (1). pp. 48-56. ISSN 1525-1578. PMCID PMC1867503. doi:10.1016/s1525-1578(10)60008-6. https://resolver.caltech.edu/CaltechAUTHORS:20190507-142738304

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Abstract

Analysis of gene expression in clinical samples poses special challenges, including limited RNA availability and poor RNA quality. Quantitative information regarding reliability of RNA amplification methodologies applied to primary cells and representativeness of resulting gene expression profiles is limited. We evaluated four protocols for RNA amplification from peripheral blood mononuclear cells. Results obtained with 100 ng or 10 ng of RNA amplified using two rounds of cDNA synthesis and in vitro transcription were compared with control 2.5-μg RNA samples processed using a single round of in vitro transcription. Samples were hybridized to Affymetrix HG-U133A arrays. Considerable differences in results were obtained with different protocols. The optimal protocol resulted in highly reproducible gene expression profiles from amplified samples (r = 0.98) and good correlation between amplified and control samples (r = 0.94). Using the optimal protocol dissimilarities of gene expression between mononuclear cells from a normal individual and a patient with myelodysplastic syndrome were primarily maintained after amplification compared with controls. We conclude that small variations in methodology introduce considerable distortion of gene expression profiles obtained after RNA amplification from clinical samples and too strong a focus on a very small number of genes picked from an array analysis could be unduly influenced by seemingly acceptable methodologies. However, it is possible to obtain reproducible and representative results using optimized protocols.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/s1525-1578(10)60008-6DOIArticle
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1867503PubMed CentralArticle
ORCID:
AuthorORCID
Wold, Barbara J.0000-0003-3235-8130
Additional Information:© 2005 American Society for Investigative Pathology and Association for Molecular Pathology. Published by Elsevier Inc. Accepted 2 September 2004. We are grateful to Dr. J. Denis Heck and Kim Nguyen from the DNA Array Core Facility, University of California, Irvine, for microarray analysis and for helpful discussions. Supported by grants from the National Aeronautics and Space Administration/National Cancer Institute Biomolecular Systems Research Program, the Leukemia and Lymphoma Society of America Translational Research Program, and the General Clinical Research Center (grant 5M01 RR00043). A part of the research described in this study was performed at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration.
Funders:
Funding AgencyGrant Number
NASAUNSPECIFIED
National Cancer InstituteUNSPECIFIED
Leukemia and Lymphoma SocietyUNSPECIFIED
NIH5M01 RR00043
NASA/JPL/CaltechUNSPECIFIED
Issue or Number:1
PubMed Central ID:PMC1867503
DOI:10.1016/s1525-1578(10)60008-6
Record Number:CaltechAUTHORS:20190507-142738304
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190507-142738304
Official Citation:Liang Li, Joe Roden, Bruce E. Shapiro, Barbara J. Wold, Smita Bhatia, Stephen J. Forman, Ravi Bhatia, Reproducibility, Fidelity, and Discriminant Validity of mRNA Amplification for Microarray Analysis from Primary Hematopoietic Cells, The Journal of Molecular Diagnostics, Volume 7, Issue 1, 2005, Pages 48-56, ISSN 1525-1578, https://doi.org/10.1016/S1525-1578(10)60008-6. (http://www.sciencedirect.com/science/article/pii/S1525157810600086)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:95311
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:07 May 2019 21:55
Last Modified:16 Nov 2021 17:11

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