Evidence map›Paper›PMID 25285445›Full record

ArticlePloS one2014

Label-free and sensitive fluorescent detection of sequence-specific single-strand DNA based on S1 nuclease cleavage effects.

Zheng Guan, Jinchuan Liu, Wenhui Bai, Zhenzhen Lv, Xiaoling Jiang, Shuming Yang, Ailiang Chen, Guiyuan Lv

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 36% of its field
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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Fluorescent Dyes for Differential Scanning Fluorimetry of RNA.Chembiochem : a European journal of chemical biology · 2025
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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

8 authors at 4 institutions in 1 country.

Zheng GuanInstitute of Quality Standards and Testing Technology for Agro-products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences; Key Laboratory of Agro-food Quality and Safety, Ministry of Agriculture, Beijing, China; Institute of Materia Medica, Zhejiang Chinese Medical University, Hangzhou, China.
Jinchuan LiuInstitute of Quality Standards and Testing Technology for Agro-products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences; Key Laboratory of Agro-food Quality and Safety, Ministry of Agriculture, Beijing, China.
Wenhui BaiInstitute of Quality Standards and Testing Technology for Agro-products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences; Key Laboratory of Agro-food Quality and Safety, Ministry of Agriculture, Beijing, China.
Zhenzhen LvInstitute of Quality Standards and Testing Technology for Agro-products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences; Key Laboratory of Agro-food Quality and Safety, Ministry of Agriculture, Beijing, China.
Xiaoling JiangInstitute of Quality Standards and Testing Technology for Agro-products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences; Key Laboratory of Agro-food Quality and Safety, Ministry of Agriculture, Beijing, China.
Shuming YangInstitute of Quality Standards and Testing Technology for Agro-products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences; Key Laboratory of Agro-food Quality and Safety, Ministry of Agriculture, Beijing, China.
Ailiang ChenInstitute of Quality Standards and Testing Technology for Agro-products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences; Key Laboratory of Agro-food Quality and Safety, Ministry of Agriculture, Beijing, China.
Guiyuan LvInstitute of Materia Medica, Zhejiang Chinese Medical University, Hangzhou, China.
Chinese Academy of Agricultural Sciences · CNInstitute of Quality Standards and Testing Technology for Agro Products · CNMinistry of Agriculture and Rural Affairs · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to detect sequence-specific single-strand DNA (ssDNA) in complex, contaminant-ridden samples, using a fluorescent method directly without a DNA extraction and PCR step could simplify the detection of pathogens in the field and in the clinic. Here, we have demonstrated a simple label-free sensing strategy to detect ssDNA by employing its complementary ssDNA, S1 nuclease and nucleic acid fluorescent dyes. Upon clearing away redundant complementary ssDNA and possibly mismatched double strand DNA by using S1 nuclease, the fluorescent signal-to-noise ratio could be increased dramatically. It enabled the method to be adaptable to three different types of DNA fluorescent dyes and the ability to detect target ssDNA in complex, multicomponent samples, like tissue homogenate. The method can distinguish a two-base mismatch from avian influenza A (H1N1) virus. Also, it can detect the appearance of 50 pM target ssDNA in 0.5 µg · mL(-1) Lambda DNA, and 50 nM target ssDNA in 5 µg · mL(-1) Lambda DNA or in tissue homogenate. It is facile and cost-effective, and could be easily extended to detect other ssDNA with many common nucleic acid fluorescent dyes.

Indexed as

Fluorescent DyesBase Pair MismatchBase SequenceDNA, Single-StrandedDNA, ViralFluorescenceFungal ProteinsSingle-Strand Specific DNA and RNA EndonucleasesStaining and LabelingDNA, Single-StrandedDNA, ViralEndonuclease S1, AspergillusFluorescent DyesFungal ProteinsSingle-Strand Specific DNA and RNA Endonucleases

Identifiers

PMID25285445
PMCPMC4186753
OpenAlexW2052396391

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.