Advances in Genotyping Detection of Fragmented Nucleic Acids.


Journal

Biosensors
ISSN: 2079-6374
Titre abrégé: Biosensors (Basel)
Pays: Switzerland
ID NLM: 101609191

Informations de publication

Date de publication:
28 Sep 2024
Historique:
received: 31 07 2024
revised: 26 09 2024
accepted: 27 09 2024
medline: 25 10 2024
pubmed: 25 10 2024
entrez: 25 10 2024
Statut: epublish

Résumé

Single nucleotide variant (SNV) detection is pivotal in various fields, including disease diagnosis, viral screening, genetically modified organism (GMO) identification, and genotyping. However, detecting SNVs presents significant challenges due to the fragmentation of nucleic acids caused by cellular apoptosis, molecular shearing, and physical degradation processes such as heating. Fragmented nucleic acids often exhibit variable lengths and inconsistent breakpoints, complicating the accurate detection of SNVs. This article delves into the underlying causes of nucleic acid fragmentation and synthesizes the strengths and limitations of next-generation sequencing technology, high-resolution melting curves, molecular probes, and CRISPR-based approaches for SNV detection in fragmented nucleic acids. By providing a detailed comparative analysis, it seeks to offer valuable insights for researchers working to overcome the challenges of SNV detection in fragmented samples, ultimately advancing the accurate and efficient detection of single nucleotide variants across diverse applications.

Identifiants

pubmed: 39451678
pii: bios14100465
doi: 10.3390/bios14100465
pii:
doi:

Substances chimiques

Nucleic Acids 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : the National Key R&D Program of China
ID : 2021YFF1200102

Auteurs

Qian Liu (Q)

School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China.
Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China.

Yun Chen (Y)

School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China.
Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China.

Hao Qi (H)

School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China.
Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China.

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Classifications MeSH