In the United States, regulatory review of genetically engineered microbes for agriculture falls under the Coordinated Framework for the Regulation of Biotechnology (CFRB). However, the lack of a centralized regulatory pathway and multiple oversight authorities can lead to uncertainty in regulatory review. Using three microbial-based technologies for agriculture as illustrative examples, this commentary identifies the weaknesses and challenges associated with the CFRB by assessing the current system and proposed changes to the system under a multi criteria decision analysis framework. In addition, it discusses opportunities for regulatory reform to improve clarity, efficiency, and public acceptance of genetically engineered microbes in agriculture under the CHIPS and Science Act and the 2022 Executive Order on the Bioeconomy.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11285237 | PMC |
http://dx.doi.org/10.1080/21645698.2024.2381294 | DOI Listing |
ACS Nano
January 2025
School of Medicine, Nankai University, Tianjin 300071, China.
Designing dual-targeted nanomedicines to enhance tumor delivery efficacy is a complex challenge, largely due to the barrier posed by blood vessels during systemic delivery. Effective transport across endothelial cells is, therefore, a critical topic of study. Herein, we present a synthetic biology-based approach to engineer dual-targeted ferritin nanocages (Dt-FTn) for understanding receptor-mediated transport across tumor endothelial cells.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, NO.1800, Lihu avenue, Wuxi 214122, China.
Inducible systems are crucial to metabolic engineering and synthetic biology, enabling organisms that function as biosensors and produce valuable compounds. However, almost all inducible systems are strain-specific, limiting comparative analyses and applications across strains rapidly. This study designed and presented a robust workflow for developing the cross-species inducible system.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
Department of Convergent Bioscience and Informatics, College of Bioscience and Biotechnology, Chungnam National University, 99, Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea.
Large genetic variants can be generated via homologous recombination (HR), such as polymerase theta-mediated end joining (TMEJ) or single-strand annealing (SSA). Given that these HR-based mechanisms leave specific genomic signatures, we developed GDBr, a genomic signature interpretation tool for DNA double-strand break repair mechanisms using high-quality genome assemblies. We applied GDBr to a draft human pangenome reference.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
SynVaccine Ltd, Ramat Hachayal, 3 Golda Meir Street, Science Park, Nes Ziona 7403648, Israel.
Many viruses of the Flaviviridae family, including the Zika virus (ZIKV), are human pathogens of significant public health concerns. Despite extensive research, there are currently no approved vaccines available for ZIKV and specifically no live-attenuated Zika vaccine. In this current study, we suggest a novel computational algorithm for generating live-attenuated vaccines via the introduction of silent mutation into regions that undergo selection for strong or weak local RNA folding or into regions that exhibit medium levels of sequence conservation.
View Article and Find Full Text PDFSensors (Basel)
December 2024
PIMM Research Laboratory, UMR 8006 CNRS-ENSAM-CNAM, Arts et Metiers Institute of Technology, 151 Boulevard de l'Hôpital, 75013 Paris, France.
This work introduces a novel methodology for identifying critical sensor locations and detecting defects in structural components. Initially, a hybrid method is proposed to determine optimal sensor placements by integrating results from both the discrete empirical interpolation method (DEIM) and the random permutation features importance technique (PI). Subsequently, the identified sensors are utilized in a novel defect detection approach, leveraging a semi-intrusive reduced order modeling and genetic search algorithm for fast and reliable defect detection.
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