Evidence map›Paper›PMID 19620236›Full record

ArticleRNA (New York, N.Y.)2009

Quantitative analysis of zeptomole microRNAs based on isothermal ramification amplification.

Bo Yao, Juan Li, Huang Huang, Changhong Sun, Zhao Wang, Yu Fan, Qing Chang, Shaolu Li, Jianzhong Xi

Abstract readComparative StudyValidation Study
In one paragraph

Article in RNA (New York, N.Y.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

9 authors.

Bo YaoDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, China.
Juan Li
Huang Huang
Changhong Sun
Zhao Wang
Yu Fan
Qing Chang
Shaolu Li
Jianzhong Xi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, approximately 700 microRNA (miRNA) molecules have been identified in humans. Accurate and sensitive quantification of miRNA levels will help unveil their biological functions. Here, we extend the isothermal ramification amplification (RAM) approach to a sensitive and specific real-time assay for quantitative analysis of miRNA. This RAM miRNA assay is based on the threshold cycle (C(T)) principle similar to that of real-time PCR. It has a dynamic range of at least seven orders of magnitude, allowing for the quantification of miRNA input from 10(3) to 10(10) copies per reaction (10 nM to 1 fM). The capabilities of discriminating single-base mismatch and distinguishing mature miRNAs from their precursors are achieved by coupling the reverse-transcription of miRNA to the generation of a closed C-probe, rather than using expensive detection probes like in real-time PCR. Quantitative measurement of 5 miRNAs (mir-1, miR-122, mir-150, mir-143, and let-7a) across 12 mouse tissues is validated in total RNA samples without further purification. U6 snRNA, snoRNA 135, and miRNA-191 could be simultaneously quantified as endogenous controls. These results suggest that our RAM miRNA assay might provide a universal tool for miRNA detection and functional studies to meet the needs for bench examination, clinical diagnosis, and on-site detection.

Indexed as

AnimalsBase SequenceFemaleMaleMiceMicroRNAsModels, BiologicalNucleic Acid Amplification TechniquesOsmolar ConcentrationPolymerase Chain ReactionSensitivity and SpecificitySequence Homology, Nucleic AcidTemperatureMicroRNAs

Identifiers

PMID19620236
PMCPMC2743063

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.