Evidence map›Paper›PMID 15740627›Full record

ArticleBMC genomics2005

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

Nicholas F Marko, Bryan Frank, John Quackenbush, Norman H Lee

Abstract read
In one paragraph

Article in BMC genomics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  17. RNA amplification for successful gene profiling analysis.Journal of translational medicine · 2005
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nicholas F MarkoThe George Washington University Medical Center, USA. nmarko@tigr.org <nmarko@tigr.org>
Bryan Frank
John Quackenbush
Norman H Lee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmall quantities of RNA (1-4 microg 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.

resultsTo 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.

conclusionThe 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.

Indexed as

Gene Expression ProfilingNucleic Acid Amplification TechniquesAlgorithmsCell Line, TumorComputational BiologyData Interpretation, StatisticalDNA PrimersGene LibraryHumansModels, StatisticalNucleic Acid ConformationNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisOligonucleotides, AntisenseRNARNA, AntisenseDNA PrimersOligonucleotides, AntisenseRNARNA, AntisenseRNA, MessengerRNA, Neoplasm

Identifiers

PMID15740627
PMCPMC554769

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.