ijms-logo

Journal Browser

Journal Browser

Advances in Diagnostics: Applications of Nucleic Acids and Their Analogs

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Genetics and Genomics".

Deadline for manuscript submissions: 20 December 2024 | Viewed by 2456

Special Issue Editors


E-Mail Website
Guest Editor
Institute of Crystallography, Consiglio Nazionale delle Ricerche, Monterotondo Stazione, 00015 Rome, Italy
Interests: oligonucleotides; oxidative DNA damage; DNA repair; diagnostic; biomarkers
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Institute of Crystallography, Consiglio Nazionale delle Ricerche, Monterotondo Stazione, 00015 Rome, Italy
Interests: DNA repair; mitochondrial dysfunction; oxidative stress; aging; neurodegenerative diseases
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Institute of Crystallography, Consiglio Nazionale delle Ricerche, Monterotondo Stazione, 00015 Rome, Italy
Interests: design and synthesis of PNA; miRNAs; therapeutics; diagnostic; biomarkers; cancer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue explores the dynamic landscape of nucleic acids and their analogs in diagnostic breakthroughs, elucidating their pivotal role in pushing the boundaries of molecular diagnostics. Amidst the evolving field of genetic and epigenetic analyses, this collection delves into the multifaceted applications of nucleic acids, uncovering their potential to revolutionize disease diagnosis. Contributions within this issue span diverse areas, including the utilization of biomarkers for early cancer detection, the integration of CRISPR-based technologies in precision medicine and the exploration of novel nucleic acid analogs for enhanced diagnostic sensitivity. Additionally, the issue explores the intersection of artificial intelligence and nucleic acid diagnostics, showcasing innovative strategies to decipher complex genomic data. The combination of these sub-topics collectively unlocks diagnostic frontiers, offering a comprehensive perspective on the power of nucleic acid in shaping the future of diagnostic medicine. 

Dr. Annalisa Masi
Dr. Barbara Pascucci
Dr. Maria Moccia
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. There is an Article Processing Charge (APC) for publication in this open access journal. For details about the APC please see here. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • nucleic acids
  • PNAs
  • ASOs
  • aptamers
  • CRISPR
  • biomarkers

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

12 pages, 3820 KiB  
Article
Rapid Diagnostic PCR Assay Method for Species Identification of Mantidis Ootheca (Sangpiaoxiao) Based on Cytochrom C Oxidase I (COI) Barcode Analysis
by Sumin Noh, Wook Jin Kim, Ji-Min Cha, Goya Choi, Sungyu Yang, Jun-Ho Song and Byeong Cheol Moon
Int. J. Mol. Sci. 2024, 25(18), 10224; https://doi.org/10.3390/ijms251810224 - 23 Sep 2024
Viewed by 554
Abstract
Mantidis Ootheca (sangpiaoxiao), the egg case of the mantis, is a type of insect-derived traditional medicine widely used in East Asia. However, species identification based on egg morphology is challenging, leading to the distribution of counterfeit and adulterated products. The use of inauthentic [...] Read more.
Mantidis Ootheca (sangpiaoxiao), the egg case of the mantis, is a type of insect-derived traditional medicine widely used in East Asia. However, species identification based on egg morphology is challenging, leading to the distribution of counterfeit and adulterated products. The use of inauthentic ingredients can pose serious health risks to consumers. This study aimed to develop PCR markers that can rapidly and accurately differentiate between authentic and counterfeit Mantidis Ootheca. The mitochondrial cytochrome c oxidase I (COI) region was sequenced in thirteen samples from four mantis species: Tenodera angustipennis, Statilia maculata, Hierodula patellifera, and T. sinensis. Four sets of SCAR primers were designed based on species-specific nucleotide polymorphisms, and a multiplex SCAR assay was developed by combining all sets of the primers. The sequence-characterized amplified region (SCAR) primers successfully produced amplicons for each target species, even with low-DNA templates or templates containing DNA from multiple samples. No amplification was observed for nontarget species. This study presents a novel approach for identifying authentic Mantidis Ootheca species using DNA-based diagnostic marker assays, which enable rapid and precise species identification. The SCAR assays developed in this study will aid in maintaining quality control and promoting the standardization of commercial Mantidis Ootheca products. Full article
Show Figures

Figure 1

16 pages, 4245 KiB  
Article
CrnnCrispr: An Interpretable Deep Learning Method for CRISPR/Cas9 sgRNA On-Target Activity Prediction
by Wentao Zhu, Huanzeng Xie, Yaowen Chen and Guishan Zhang
Int. J. Mol. Sci. 2024, 25(8), 4429; https://doi.org/10.3390/ijms25084429 - 17 Apr 2024
Viewed by 1425
Abstract
CRISPR/Cas9 is a powerful genome-editing tool in biology, but its wide applications are challenged by a lack of knowledge governing single-guide RNA (sgRNA) activity. Several deep-learning-based methods have been developed for the prediction of on-target activity. However, there is still room for improvement. [...] Read more.
CRISPR/Cas9 is a powerful genome-editing tool in biology, but its wide applications are challenged by a lack of knowledge governing single-guide RNA (sgRNA) activity. Several deep-learning-based methods have been developed for the prediction of on-target activity. However, there is still room for improvement. Here, we proposed a hybrid neural network named CrnnCrispr, which integrates a convolutional neural network and a recurrent neural network for on-target activity prediction. We performed unbiased experiments with four mainstream methods on nine public datasets with varying sample sizes. Additionally, we incorporated a transfer learning strategy to boost the prediction power on small-scale datasets. Our results showed that CrnnCrispr outperformed existing methods in terms of accuracy and generalizability. Finally, we applied a visualization approach to investigate the generalizable nucleotide-position-dependent patterns of sgRNAs for on-target activity, which shows potential in terms of model interpretability and further helps in understanding the principles of sgRNA design. Full article
Show Figures

Figure 1

Back to TopTop