Evidence map›Paper›PMID 38243758›Full record

ArticleDevelopment, growth & differentiation2024

Efficient detection of single nucleotide variants in targeted genomic loci.

Ryota Sone, Saori Fujimaki, Atsuo Kawahara

Open access · hybridAbstract read
In one paragraph

Article in Development, growth & differentiation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

3 authors at 1 institution in 1 country.

Ryota SoneLaboratory for Developmental Biology, Center for Medical Education and Sciences, Graduate School of Medical Science, University of Yamanashi, Yamanashi, Japan.
Saori FujimakiLaboratory for Developmental Biology, Center for Medical Education and Sciences, Graduate School of Medical Science, University of Yamanashi, Yamanashi, Japan.
Atsuo KawaharaLaboratory for Developmental Biology, Center for Medical Education and Sciences, Graduate School of Medical Science, University of Yamanashi, Yamanashi, Japan.ORCID https://orcid.org/0000-0001-8536-920X
University of Yamanashi · JP

Funding

Japan Society for the Promotion of Science 22K06235
6 · The paper itself

Abstract

Single nucleotide variants (SNVs), including single nucleotide polymorphisms, are often associated with morphological and/or physiological abnormalities in various organisms. Targeted genomic DNA can be amplified and directly sequenced to detect these mutations, but this method is relatively time consuming and expensive. We recently established the heteroduplex mobility assay to detect genetic mutations as an easy, low-cost method in genome editing, but detecting such small genetic differences remains difficult. Here, we developed a new, simple method to detect single nucleotide changes in the zebrafish genome by polymerase chain reaction (PCR) and electrophoresis. We first designed a specific single stranded DNA with four tandem guanine nucleotides inserted beside the mutation site, called guanine-inserted primer (GIP). When reannealing, hybridized complexes of GIP and PCR amplicons with or without 1-bp-mutated alleles form different bulge structures, presumably leading to different mobilities on a polyacrylamide gel. This GIP-interacting mobility assay is easy to use; therefore, it could contribute to the detection of SNVs in any organism.

Indexed as

DNAZebrafishAnimalsGenomicsMutationNucleotidesDNANucleotidesGIP-interacting mobility assayguanine-inserted primerheteroduplex mobility assaysingle nucleotide variants

Identifiers

PMID38243758
PMCPMC11457507
OpenAlexW4391051856

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.