Molecular Therapy Nucleic Acids
Scope & Guideline
Empowering global collaboration in molecular therapy.
Introduction
Aims and Scopes
- Gene Editing Technologies:
This area encompasses advancements in CRISPR, TALENs, and other gene editing techniques aimed at correcting genetic disorders, improving genomic stability, and developing novel therapeutic strategies. - Nucleic Acid Delivery Systems:
Research in this scope focuses on the development of novel carriers and delivery mechanisms, such as lipid nanoparticles, exosomes, and viral vectors, to enhance the cellular uptake and efficacy of nucleic acid therapeutics. - RNA Therapeutics:
The journal emphasizes the therapeutic potentials of various RNA molecules, including mRNA, siRNA, and circular RNAs, exploring their roles in gene regulation, disease treatment, and potential applications in cancer and genetic disorders. - Mechanisms of Action and Safety:
Research that investigates the mechanisms through which nucleic acid therapies exert their effects and the safety profiles of these treatments, including off-target effects and immune responses. - Translational Research:
The journal also focuses on the translation of basic research findings into clinical applications, emphasizing studies that bridge laboratory discoveries with patient care.
Trending and Emerging
- Enhanced CRISPR-Cas9 Techniques:
Recent publications highlight advancements in CRISPR-Cas9 technology, including improved specificity and efficiency, as well as novel applications in gene therapy for complex diseases. - RNA Modifications and Their Therapeutic Implications:
There is an increasing focus on understanding how RNA modifications, such as m6A, influence the stability and function of therapeutic RNAs, opening new avenues for enhancing RNA-based therapies. - Circular RNAs as Therapeutics:
Research into the therapeutic potential of circular RNAs is gaining momentum, exploring their roles in disease mechanisms and their utility as novel therapeutic agents. - AI and Machine Learning in RNA Research:
The integration of artificial intelligence and machine learning techniques in the design and optimization of RNA therapeutics is emerging as a significant trend, showcasing the potential for computational approaches to enhance nucleic acid therapy development. - Exosome-Mediated Delivery Systems:
Publications are increasingly focusing on exosomes as natural carriers for delivering RNA therapeutics, capitalizing on their biocompatibility and ability to evade immune detection.
Declining or Waning
- Traditional Gene Therapy Approaches:
There is a noticeable decline in research focused on older gene therapy methods that do not utilize contemporary techniques such as CRISPR or innovative delivery systems. This shift reflects the field's movement towards more advanced technologies. - Basic Mechanistic Studies of RNA Interference:
Studies that focus solely on the fundamental aspects of RNA interference without translational applications are becoming less common, as the field increasingly prioritizes applied research with direct therapeutic implications. - In Vivo Models in Preclinical Studies:
Research utilizing traditional animal models for initial testing of nucleic acid therapies may be waning, as there is a growing trend towards more sophisticated models, such as organoids or humanized systems, that better mimic human pathophysiology.
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