Evidence map›Paper›PMID 35495989›Full record

ArticleRSC advances2020

Real-time detection of mRNA splicing variants with specifically designed reverse-transcription loop-mediated isothermal amplification.

Fengxia Su, Guanhao Wang, Jianing Ji, Pengbo Zhang, Fangfang Wang, Zhengping Li

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Fengxia SuSchool of Chemistry and Biological Engineering, University of Science and Technology Beijing Beijing 100083 P. R. China lzpbd@ustb.edu.cn.ORCID https://orcid.org/0000-0001-9202-3792
Guanhao WangSchool of Chemistry and Biological Engineering, University of Science and Technology Beijing Beijing 100083 P. R. China lzpbd@ustb.edu.cn.
Jianing JiSchool of Chemistry and Biological Engineering, University of Science and Technology Beijing Beijing 100083 P. R. China lzpbd@ustb.edu.cn.
Pengbo ZhangSchool of Chemistry and Biological Engineering, University of Science and Technology Beijing Beijing 100083 P. R. China lzpbd@ustb.edu.cn.
Fangfang WangSchool of Chemistry and Biological Engineering, University of Science and Technology Beijing Beijing 100083 P. R. China lzpbd@ustb.edu.cn.
Zhengping LiSchool of Chemistry and Biological Engineering, University of Science and Technology Beijing Beijing 100083 P. R. China lzpbd@ustb.edu.cn.ORCID https://orcid.org/0000-0002-7573-8822
University of Science and Technology Beijing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternative splicing is a ubiquitous and crucial process in cellular processes and has a specific linkage with diseases. To date, developing cost-effective methods with high sensitivity and specificity for detection of splicing variants has been needed. Herein, we report a novel splicing variant assay based on specifically designed reverse-transcription loop-mediated isothermal amplification. After reverse transcribing the splicing variant into cDNA, four DNA primers are specifically designed to recognize six distinct regions. The four DNA primers can hybridize with corresponding sequences for extension and strand displacement DNA synthesis to form stem-loop DNA and then LAMP amplification is started. The proposed method can detect as low as 100 aM splicing variants in real-time fashion with high specificity, showing great potential in biological function and clinical studies.

Identifiers

PMID35495989
PMCPMC9049701
OpenAlexW3006625005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.