Literature DB >> 15560142

Linear mRNA amplification from as little as 5 ng total RNA for global gene expression analysis.

Alan Dafforn1, Pengchin Chen, Glenn Deng, Michael Herrler, Dawn Iglehart, Sriveda Koritala, Susan Lato, Susheela Pillarisetty, Reshma Purohit, Martin Wang, Shenglong Wang, Nurith Kurn.   

Abstract

Gene expression analysis has become an invaluable tool for understanding gene function and regulation. However, global expression analysis requires large RNA quantities or RNA preamplification. We describe an isothermal messenger RNA (mRNA) amplification method, Ribo-SPIA, which generates micrograms of labeled cDNA from 5 ng of total RNA in 1 day for analysis on arrays or by PCR quantification. Highly reproducible GeneChip array performance (R2 > 0.95) was achieved with independent reactions starting with 5-100 ng Universal Human Reference total RNA. Targets prepared by the Ribo-SPIA procedure (20 ng total RNA input) or the Affymetrix Standard Protocol (10 microg total RNA) perform similarly, as indicated by gene call concordance (86%) and good correlation of differential gene expression determination (R2 = 0.82). Accuracy of transcript representation in cDNA generated by the Ribo-SPIA procedure was also demonstrated by PCR quantification of 33 transcripts, comparing differential expression in amplified and nonamplified cDNA (R2 = 0.97 over a range of nearly 10(6) infold change). Thus Ribo-SPIA amplification of mRNA is rapid, robust, highly accurate and reproducible, and sensitive enough to allow quantification of very low abundance transcripts.

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Year:  2004        PMID: 15560142     DOI: 10.2144/04375PF01

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  53 in total

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Journal:  J Biomol Tech       Date:  2007-07

8.  Transcriptome Profiling of In-Vivo Produced Bovine Pre-implantation Embryos Using Two-color Microarray Platform.

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9.  Transcribed-ultra conserved region expression profiling from low-input total RNA.

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10.  RNA pre-amplification enables large-scale RT-qPCR gene-expression studies on limiting sample amounts.

Authors:  Joëlle Vermeulen; Stefaan Derveaux; Steve Lefever; Els De Smet; Katleen De Preter; Nurten Yigit; Anne De Paepe; Filip Pattyn; Frank Speleman; Jo Vandesompele
Journal:  BMC Res Notes       Date:  2009-11-25
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