Evidence map›Paper›PMID 34073904›Full record

ReviewNanomaterials (Basel, Switzerland)2021

Application of Nanotechnology for Sensitive Detection of Low-Abundance Single-Nucleotide Variations in Genomic DNA: A Review.

Mahwash Mukhtar, Saman Sargazi, Mahmood Barani, Henning Madry, Abbas Rahdar, Magali Cucchiarini

Open access · goldAbstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Exosomes: a promising avenue for cancer diagnosis beyond treatment.Frontiers in cell and developmental biology · 2024
    Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. The Promise of Nanotechnology in Personalized Medicine.Journal of personalized medicine · 2022
    Review
  10. Association of Polymorphisms inDisease markers · 2022
    Article
  11. Review
  12. 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 5 institutions in 3 countries.

Mahwash MukhtarFaculty of Pharmacy, Institute of Pharmaceutical Technology and Regulatory Affairs, University of Szeged, 6720 Szeged, Hungary.ORCID 0000-0001-8447-2950
Saman SargaziCellular and Molecular Research Center, Resistant Tuberculosis Institute, Zahedan University of Medical Sciences, Zahedan 98167-43463, Iran.ORCID 0000-0002-2255-5977
Mahmood BaraniDepartment of Chemistry, Shahid Bahonar University of Kerman, Kerman 76169-14111, Iran.ORCID 0000-0002-1711-2522
Henning MadryCenter of Experimental Orthopaedics, Saarland University Medical Center, D-66421 Homburg/Saar, Germany.ORCID 0000-0002-8612-4842
Abbas RahdarDepartment of Physics, Faculty of Science, University of Zabol, Zabol 538-98615, Iran.ORCID 0000-0003-4766-9214
Magali CucchiariniCenter of Experimental Orthopaedics, Saarland University Medical Center, D-66421 Homburg/Saar, Germany.ORCID 0000-0003-0323-8922
Saarland University · DEShahid Bahonar University of Kerman · IRUniversity of Szeged · HUZabol University · IRZahedan University of Medical Sciences · IR

Funding

funding programme Open Access Publishing Saarland University
6 · The paper itself

Abstract

Single-nucleotide polymorphisms (SNPs) are the simplest and most common type of DNA variations in the human genome. This class of attractive genetic markers, along with point mutations, have been associated with the risk of developing a wide range of diseases, including cancer, cardiovascular diseases, autoimmune diseases, and neurodegenerative diseases. Several existing methods to detect SNPs and mutations in body fluids have faced limitations. Therefore, there is a need to focus on developing noninvasive future polymerase chain reaction (PCR)-free tools to detect low-abundant SNPs in such specimens. The detection of small concentrations of SNPs in the presence of a large background of wild-type genes is the biggest hurdle. Hence, the screening and detection of SNPs need efficient and straightforward strategies. Suitable amplification methods are being explored to avoid high-throughput settings and laborious efforts. Therefore, currently, DNA sensing methods are being explored for the ultrasensitive detection of SNPs based on the concept of nanotechnology. Owing to their small size and improved surface area, nanomaterials hold the extensive capacity to be used as biosensors in the genotyping and highly sensitive recognition of single-base mismatch in the presence of incomparable wild-type DNA fragments. Different nanomaterials have been combined with imaging and sensing techniques and amplification methods to facilitate the less time-consuming and easy detection of SNPs in different diseases. This review aims to highlight some of the most recent findings on the aspects of nanotechnology-based SNP sensing methods used for the specific and ultrasensitive detection of low-concentration SNPs and rare mutations.

Indexed as

detectiongenomic DNAnanotechnologySNP

Identifiers

PMID34073904
PMCPMC8225127
OpenAlexW3164766044

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.