Evidence map›Paper›PMID 26322949›Full record

ArticleThe Journal of molecular diagnostics : JMD2015

One-Step Ligation on RNA Amplification for the Detection of Point Mutations.

Lei Zhang, Jingjing Wang, Mia Coetzer, Stephanie Angione, Rami Kantor, Anubhav Tripathi

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Lei ZhangCenter for Biomedical Engineering and the School of Engineering and Medical Sciences, Brown University, Providence, Rhode Island.
Jingjing WangCenter for Biomedical Engineering and the School of Engineering and Medical Sciences, Brown University, Providence, Rhode Island.
Mia CoetzerDivision of Infectious Diseases, Warren Alpert Medical School, Brown University, Providence, Rhode Island.
Stephanie AngioneCenter for Biomedical Engineering and the School of Engineering and Medical Sciences, Brown University, Providence, Rhode Island.
Rami KantorDivision of Infectious Diseases, Warren Alpert Medical School, Brown University, Providence, Rhode Island.
Anubhav TripathiCenter for Biomedical Engineering and the School of Engineering and Medical Sciences, Brown University, Providence, Rhode Island. Electronic address: anubhav_tripathi@brown.edu.
Brown University · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
NIAID NIH HHS P30 AI042853NIAID NIH HHS P30AI042853
6 · The paper itself

Abstract

The detection of point mutations is required in the diagnosis of many human diseases. The conformal specificity of DNA ligases was elegantly used to distinguish single-nucleotide mismatches. However, to detect point mutations in RNA retroviruses, conventional ligase-mediated approaches require the reverse transcription of viral genomes before separate ligation and amplification steps. We developed one-step ligation on RNA amplification (LRA) for the direct detection of RNA point mutations. The process combines the ligase-mediated joining of two oligonucleotides and subsequent hot start amplification into a single-tube reaction. We report that modifications to the structure of the oligonucleotide ligation probes improve the rate of ligation and the specificity of mutation detection on RNA. We applied LRA to the detection of a common, clinically relevant HIV-1 reverse transcriptase drug-resistant point mutation, K103N, and compared it with allele-specific PCR and pyrosequencing. LRA achieved a limit of specific quantitation of 1:100 (1%), and a limit of specific detection for mutant K103N RNA transcripts among excess wild-type strands of 1:10,000 (0.01%). LRA also exhibited good detection threshold of 5 × 10(2) copies/μL K103N RNA transcripts. LRA is a novel point mutation detection method, with potential utilization in HIV drug resistance detection and early diagnostics of genetic disorders associated with other infectious diseases and cancer.

Indexed as

DNA LigasesDrug Resistance, ViralHIV-1HIV InfectionsHIV Reverse TranscriptaseHumansLigationOligonucleotide ProbesOligonucleotidesPoint MutationPolymerase Chain ReactionRNADNA LigasesHIV Reverse TranscriptaseOligonucleotide ProbesOligonucleotidesreverse transcriptase, Human immunodeficiency virus 1RNA

Identifiers

PMID26322949
PMCPMC4630173
OpenAlexW2130212312

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.