Results 191 to 200 of about 552,224 (245)

Lipid Nanoparticles for the Delivery of CRISPR/Cas9 Machinery to Enable Site‐Specific Integration of CFTR and Mutation‐Agnostic Disease Rescue

Advanced Functional Materials, EarlyView.
Lipid nanoparticles (LNPs) are optimized to co‐deliver Cas9‐encoding messenger RNA (mRNA), a single guide RNA (sgRNA) targeting the endogenous cystic fibrosis transmembrane conductance regulator (CFTR) gene, and homologous linear double‐stranded donor DNA (ldsDNA) templates encoding CFTR.
Ruth A. Foley, Paul G. Ayoub, Vrishti Sinha, Colin Juett, Alicia Sanoyca, Emily C. Duggan, Lindsay E. Lathrop, Priyanka Bhatt, Kevin Coote, Beate Illek, Brigitte N. Gomperts, Donald B. Kohn, Steven J. Jonas   +12 more
wiley   +1 more source

Genome-wide association study and genomic selection for growth-related traits in Eastern oyster (Crassostrea virginica). [PDF]

BMC Genomics
Marín-Nahuelpi R, Urzúa-Encina C, Xuereb A, Mallet M, Mallet A, Normandeau E, Babin C, Yáñez JM, Bernatchez L.   +8 more
europepmc   +1 more source

Expanding Chemical Space of Nucleic Acid Nanoparticles for Tunable Antiviral‐Like Immunomodulatory Responses and Potent Adjuvant Activity

Advanced Functional Materials, EarlyView.
We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj, Hannah S. Newton, Jian Wang, Laxmi Pandey, Yelixza I. Avilla, Phong Nguyen, Morgan Chandler, Justin Halman, Yasmine Radwan, Stephanie Smith, Elijah Edmondson, Simone Difilippantonio, Chelsea Sanders, Bao Tran, Yongmei Zhao, Shaojun Xie, Edward Cedrone, Barry W. Neun, Meni Wanunu, Nikolay V. Dokholyan, Marina A. Dobrovolskaia, Kirill A. Afonin   +21 more
wiley   +1 more source

Genomic Selection for Economically Important Traits in Dual-Purpose Simmental Cattle. [PDF]

Animals (Basel)
Zhang X, Wang D, Zhang M, Xu L, Huang X, Wang Y.   +5 more
europepmc   +1 more source

Programmable DNA‐Peptide Hybrid Nanostructures for Potent Neutralization of Multiple Influenza a Virus Subtypes

Advanced Functional Materials, EarlyView.
A multivalent antiviral platform based on honeycomb‐shaped DNA nanostructures (HC–Urumin) is developed to enhance the potency and breadth of the host defense peptide Urumin. Through spatially patterned trimeric presentation, HC–Urumin disrupts influenza A virus entry, improves cell viability, and reduces disease severity in vivo‐offering a modular and ...
Saurabh Umrao, Abhisek Dwivedy, Payton L. Haak, Dhanush Gandavadi, Laurie A. Rund, Chi Chen, Vineetha Mareddy, Lifeng Zhou, Jinwei Duan, Ying Fang, Andrew J. Steelman, Xing Wang   +11 more
wiley   +1 more source

Genetic parameters estimation and optimization of genomic selection in mud crab (Scylla paramamosain): a case study for growth-related traits. [PDF]

BMC Genomics
Zhou X, Hong Z, Cui W, Zhang Y, Ikhwanuddin M, Ye S, Ma H.   +6 more
europepmc   +1 more source

Synthetic Nanobiology Actuated Lipometabolic Cell Factory for Autologous Tumor Immunotherapy

Advanced Functional Materials, EarlyView.
FA plays a crucial role in the interaction between tumor cells and the tumor microenvironment, especially for the immune response. A biocatalytic immunoenhancement strategy is developed to boost antitumor immunity by FA metabolic orientation to ceramide. Through the design of this delicate catalytic immunoenhancement strategy, the synthetic nanobiology
Shoujie Zhao, Yejing Zhu, Hengchao Yu, Jun Zhu, Bo Wang, Yu Qiao, Zhimin Tian, Junlong Zhao, Lei Liu   +8 more
wiley   +1 more source

Optimizing genomic selection strategies for carcass traits in commercial purebred ducks. [PDF]

Poult Sci
Cai W, Zhu L, Han C, Wang M, Yang Q, Liu Z, Zhou Z, Hu J, Hou S.   +8 more
europepmc   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Consequences of ignoring dominance genetic effects from genomic selection model for discrete threshold traits. [PDF]

Sci Rep
Ghafouri-Kesbi F.
europepmc   +1 more source