Evidence map›Paper›PMID 23152780›Full record

ArticlePloS one2012

A novel real-time PCR assay of microRNAs using S-Poly(T), a specific oligo(dT) reverse transcription primer with excellent sensitivity and specificity.

Kang Kang, Xiaoying Zhang, Hongtao Liu, Zhiwei Wang, Jiasheng Zhong, Zhenting Huang, Xiao Peng, Yan Zeng, Yuna Wang, Yi Yang and 2 more

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
  2. Methods to Quantify the MicroRNA and Study Their Role in Genotoxic Stress.Methods in molecular biology (Clifton, N.J.) · 2026
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  15. 1, 25-(OH)Genes & genomics · 2022
    Article
  16. Article
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  18. Article
  19. In Silico Analysis of Partial Fatty Acid Desaturase 2 cDNA FromBioinformatics and biology insights · 2021
    Article
  20. Article
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

12 authors.

Kang KangCollege of Life Sciences, Shenzhen University, Shenzhen, Guangdong, People's Republic of China.
Xiaoying Zhang
Hongtao Liu
Zhiwei Wang
Jiasheng Zhong
Zhenting Huang
Xiao Peng
Yan Zeng
Yuna Wang
Yi Yang
Jun Luo
Deming Gou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are small, non-coding RNAs capable of postranscriptionally regulating gene expression. Accurate expression profiling is crucial for understanding the biological roles of miRNAs, and exploring them as biomarkers of diseases. METHODOLOGY/PRINCIPAL

findingsA novel, highly sensitive, and reliable miRNA quantification approach,termed S-Poly(T) miRNA assay, is designed. In this assay, miRNAs are subjected to polyadenylation and reverse transcription with a S-Poly(T) primer that contains a universal reverse primer, a universal Taqman probe, an oligo(dT)(11) sequence and six miRNA-specific bases. Individual miRNAs are then amplified by a specific forward primer and a universal reverse primer, and the PCR products are detected by a universal Taqman probe. The S-Poly(T) assay showed a minimum of 4-fold increase in sensitivity as compared with the stem-loop or poly(A)-based methods. A remarkable specificity in discriminating among miRNAs with high sequence similarity was also obtained with this approach. Using this method, we profiled miRNAs in human pulmonary arterial smooth muscle cells (HPASMC) and identified 9 differentially expressed miRNAs associated with hypoxia treatment. Due to its outstanding sensitivity, the number of circulating miRNAs from normal human serum was significantly expanded from 368 to 518. CONCLUSIONS/SIGNIFICANCE: With excellent sensitivity, specificity, and high-throughput, the S-Poly(T) method provides a powerful tool for miRNAs quantification and identification of tissue- or disease-specific miRNA biomarkers.

Indexed as

DNA PrimersCell HypoxiaCell LineGene ExpressionGene Expression ProfilingHumansMicroRNAsMyocytes, Smooth MusclePoly TReal-Time Polymerase Chain ReactionSensitivity and SpecificityDNA PrimersMicroRNAsPoly T

Identifiers

PMID23152780
PMCPMC3496722

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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.