19
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A robust method for the amplification of RNA in the sense orientation

      research-article
      1 , 4 , 4 , 2 , , 4 , 3
      BMC Genomics
      BioMed Central

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Small quantities of RNA (1–4 μg total RNA) available from biological samples frequently require a single round of amplification prior to analysis, but current amplification strategies have limitations that may restrict their usefulness in downstream genomic applications. The Eberwine amplification method has been extensively validated but is limited by its ability to produce only antisense RNA. Alternatives lack extensive validation and are often confounded by problems with bias or yield attributable to their greater biological and technical complexity.

          Results

          To overcome these limitations, we have developed a straightforward and robust protocol for amplification of RNA in the sense orientation. This protocol is based upon Eberwine's method but incorporates elements of more recent amplification techniques while avoiding their complexities. Our technique yields greater than 100-fold amplification, generates long transcript, and produces mRNA that is well suited for use with microarray applications. Microarrays performed with RNA amplified using this protocol demonstrate minimal amplification bias and high reproducibility.

          Conclusion

          The protocol we describe here is readily adaptable for the production of sense or antisense, labeled or unlabeled RNA from intact or partially-degraded prokaryotic or eukaryotic total RNA. The method outperforms several commercial RNA amplification kits and can be used in conjunction with a variety of microarray platforms, such as cDNA arrays, oligonucleotide arrays, and Affymetrix GeneChip™ arrays.

          Related collections

          Most cited references29

          • Record: found
          • Abstract: not found
          • Article: not found

          Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation.

          Y. H. Yang (2002)
          There are many sources of systematic variation in cDNA microarray experiments which affect the measured gene expression levels (e.g. differences in labeling efficiency between the two fluorescent dyes). The term normalization refers to the process of removing such variation. A constant adjustment is often used to force the distribution of the intensity log ratios to have a median of zero for each slide. However, such global normalization approaches are not adequate in situations where dye biases can depend on spot overall intensity and/or spatial location within the array. This article proposes normalization methods that are based on robust local regression and account for intensity and spatial dependence in dye biases for different types of cDNA microarray experiments. The selection of appropriate controls for normalization is discussed and a novel set of controls (microarray sample pool, MSP) is introduced to aid in intensity-dependent normalization. Lastly, to allow for comparisons of expression levels across slides, a robust method based on maximum likelihood estimation is proposed to adjust for scale differences among slides.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Rapid production of full-length cDNAs from rare transcripts: amplification using a single gene-specific oligonucleotide primer.

            We have devised a simple and efficient cDNA cloning strategy that overcomes many of the difficulties encountered in obtaining full-length cDNA clones of low-abundance mRNAs. In essence, cDNAs are generated by using the DNA polymerase chain reaction technique to amplify copies of the region between a single point in the transcript and the 3' or 5' end. The minimum information required for this amplification is a single short stretch of sequence within the mRNA to be cloned. Since the cDNAs can be produced in one day, examined by Southern blotting the next, and readily cloned, large numbers of full-length cDNA clones of rare transcripts can be rapidly produced. Moreover, separation of amplified cDNAs by gel electrophoresis allows precise selection by size prior to cloning and thus facilitates the isolation of cDNAs representing variant mRNAs, such as those produced by alternative splicing or by the use of alternative promoters. The efficacy of this method was demonstrated by isolating cDNA clones of mRNA from int-2, a mouse gene that expresses four different transcripts at low abundance, the longest of which is approximately 2.9 kilobases. After less than 0.05% of the cDNAs produced had been screened, 29 independent int-2 clones were isolated. Sequence analysis demonstrated that the 3' and 5' ends of all four int-2 mRNAs were accurately represented by these clones.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Analysis of gene expression in single live neurons.

              We present here a method for broadly characterizing single cells at the molecular level beyond the more common morphological and transmitter/receptor classifications. The RNA from defined single cells is amplified by microinjecting primer, nucleotides, and enzyme into acutely dissociated cells from a defined region of rat brain. Further processing yields amplified antisense RNA. A second round of amplification results in greater than 10(6)-fold amplification of the original starting material, which is adequate for analysis--e.g., use as a probe, making of cDNA libraries, etc. We demonstrate this method by constructing expression profiles of single live cells from rat hippocampus. This profiling suggests that cells that appear to be morphologically similar may show marked differences in patterns of expression. In addition, we characterize several mRNAs from a single cell, some of which were previously undescribed, perhaps due to "rarity" when averaged over many cell types. Electrophysiological analysis coupled with molecular biology within the same cell will facilitate a better understanding of how changes at the molecular level are manifested in functional properties. This approach should be applicable to a wide variety of studies, including development, mutant models, aging, and neurodegenerative disease.
                Bookmark

                Author and article information

                Journal
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                2005
                1 March 2005
                : 6
                : 27
                Affiliations
                [1 ]The George Washington University School of Medicine
                [2 ]The George Washington University Medical Center, Department of Biochemistry and Molecular Biology
                [3 ]The George Washington University Medical Center, Department of Pharmacology
                [4 ]The Institute for Genomic Research (TIGR), Dana-Farber Cancer Institute, Department of Biostatistics and Computational Biology and Harvard School of Public Health, Department of Biostatistics
                Article
                1471-2164-6-27
                10.1186/1471-2164-6-27
                554769
                15740627
                e80511c7-266a-44f9-b107-db5bbc1e6ec0
                Copyright © 2005 Marko et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 7 November 2004
                : 1 March 2005
                Categories
                Methodology Article

                Genetics
                Genetics

                Comments

                Comment on this article