Evidence map›Paper›PMID 17098911›Full record

ArticleApplied and environmental microbiology2007

Microarray-based analysis of microbial community RNAs by whole-community RNA amplification.

Haichun Gao, Zamin K Yang, Terry J Gentry, Liyou Wu, Christopher W Schadt, Jizhong Zhou

Abstract readEvaluation Study
In one paragraph

Article in Applied and environmental microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

21 citing papers in PubMed.

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  20. Prokaryotic lifestyles in deep sea habitats.Extremophiles : life under extreme conditions · 2008
    Review
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

6 authors.

Haichun GaoEnvironmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.
Zamin K Yang
Terry J Gentry
Liyou Wu
Christopher W Schadt
Jizhong Zhou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new approach, termed whole-community RNA amplification (WCRA), was developed to provide sufficient amounts of mRNAs from environmental samples for microarray analysis. This method employs fusion primers (six to nine random nucleotides with an attached T7 promoter) for the first-strand synthesis. The shortest primer (T7N6S) gave the best results in terms of the yield and representativeness of amplification. About 1,200- to 1,800-fold amplification was obtained with amounts of the RNA templates ranging from 10 to 100 ng, and very representative detection was obtained with 50 to 100 ng total RNA. Evaluation with a Shewanella oneidensis Deltafur strain revealed that the amplification method which we developed could preserve the original abundance relationships of mRNAs. In addition, to determine whether representative detection of RNAs can be achieved with mixed community samples, amplification biases were evaluated with a mixture containing equal quantities of RNAs (100 ng each) from four bacterial species, and representative amplification was also obtained. Finally, the method which we developed was applied to the active microbial populations in a denitrifying fluidized bed reactor used for denitrification of contaminated groundwater and ethanol-stimulated groundwater samples for uranium reduction. The genes expressed were consistent with the expected functions of the bioreactor and groundwater system, suggesting that this approach is useful for analyzing the functional activities of microbial communities. This is one of the first demonstrations that microarray-based technology can be used to successfully detect the activities of microbial communities from real environmental samples in a high-throughput fashion.

Indexed as

EcosystemBacteriaBacterial ProteinsBiasBiomassBioreactorsDNA PrimersEthanolFresh WaterGene Expression ProfilingNitritesNucleic Acid Amplification TechniquesOligonucleotide Array Sequence AnalysisRNA, BacterialRNA, MessengerUraniumBacterial ProteinsDNA PrimersEthanolNitritesRNA, BacterialRNA, MessengerUranium

Identifiers

PMID17098911
PMCPMC1796964

What OpenQuestion holds

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Read underepoch 390

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.