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PMID: 12445333 Published · ppublish English Journal Article

Optimization and evaluation of T7 based RNA linear amplification protocols for cDNA microarray analysis.

BMC genomics ·Vol. 3 ·No. 1 ·2002-10-30 ·Pages 31

Zhao H, Hastie T, Whitfield ML, Børresen-Dale AL, Jeffrey SS

Abstract

T7 based linear amplification of RNA is used to obtain sufficient antisense RNA for microarray expression profiling. We optimized and systematically evaluated the fidelity and reproducibility of different amplification protocols using total RNA obtained from primary human breast carcinomas and high-density cDNA microarrays. Using an optimized protocol, the average correlation coefficient of gene expression of 11,123 cDNA clones between amplified and unamplified samples is 0.82 (0.85 when a virtual array was created using repeatedly amplified samples to minimize experimental variation). Less than 4% of genes show changes in expression level by 2-fold or greater after amplification compared to unamplified samples. Most changes due to amplification are not systematic both within one tumor sample and between different tumors. Amplification appears to dampen the variation of gene expression for some genes when compared to unamplified poly(A)+ RNA. The reproducibility between repeatedly amplified samples is 0.97 when performed on the same day, but drops to 0.90 when performed weeks apart. The fidelity and reproducibility of amplification is not affected by decreasing the amount of input total RNA in the 0.3-3 micrograms range. Adding template-switching primer, DNA ligase, or column purification of double-stranded cDNA does not improve the fidelity of amplification. The correlation coefficient between amplified and unamplified samples is higher when total RNA is used as template for both experimental and reference RNA amplification. T7 based linear amplification reproducibly generates amplified RNA that closely approximates original sample for gene expression profiling using cDNA microarrays.

Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Zhao Hongjuan
Department of Surgery, Medical School Lab-Surge Bldg P214, Stanford University, Stanford, CA 94305-5494, USA. [email protected]
Hastie Trevor
Whitfield Michael L
Børresen-Dale Anne-Lise
Jeffrey Stefanie S
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Article Info
Journal
BMC genomics
Abbr.
BMC Genomics
ISSN
1471-2164
Published
2002-10-30
Epub
2002-00-30
Pages
31
Language
English
Region
England
NLM ID
100965258
PMCID
PMC137577
Grants
NCI NIH HHS · U01 CA085129 · United States
NHGRI NIH HHS · F32 HG000220-02 · United States
NHGRI NIH HHS · F32 HG000220-03 · United States
NHGRI NIH HHS · F32 HG000220 · United States
NHGRI NIH HHS · F32 HG000220-01 · United States
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