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Although gene delivery vectors based on adeno-associated viruses (AAVs) have emerged as safe and effective for numerous clinical gene therapy applications, many challenges remain. Recent advances in AAV vector development through rational design and directed evolution, as well as in the design of novel genetic cargoes, promise to extend clinical successes of AAV-mediated gene therapy.
Recent technological advances have enabled the probing of RNA structure across the transcriptomes of various speciesin vitro and in vivo. This Review discusses our latest understanding of how RNA structure influences various steps of gene expression, including translation, mRNA localization and microRNA-mediated gene regulation.
RNA-directed DNA methylation (RdDM) is a major mechanism of transcriptional gene silencing in plants that is mediated through small interfering RNAs (siRNAs) and plant-specific RNA polymerases. This Review summarizes our latest understanding of RdDM, including its genomic targets, molecular mechanisms (such as emerging non-canonical pathways) and diverse biological roles.
Data sharing in genetics is essential to ensure research progress. However, concerns about the impact on privacy of data originators have been raised. This Review summarizes privacy breaching strategies and potential mitigation methods for privacy-preserving dissemination of sensitive data, and highlights different cases that are relevant to genetic applications.
Discoveries over the past decade portend a paradigm shift in molecular biology; evidence suggests that RNA is not only functional as a messenger between DNA and protein but also involved in the regulation of genome organization and gene expression. This Timeline article surveys the emergence of the previously unsuspected world of regulatory RNA from a historical perspective.
The impact of various infectious agents on human survival and reproduction over thousands of years has exerted selective pressure on numerous regions of the human genome. This Review describes how such signatures of selection can be detected and integrated with data from complementary approaches, such as genome-wide association studies, to provide biological insights into host–pathogen interactions.