Selected Grantee Publications
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- 4 results found
- Artificial Intelligence/Machine Learning
- Preservation
- 2024
Systematic Multi-trait AAV Capsid Engineering for Efficient Gene Delivery
Eid et al., Nature Communications. 2024.
https://doi.org/10.1038/s41467-024-50555-y
Engineering novel functions into proteins while retaining desired traits is a key challenge for developers of viral vectors, antibodies, and inhibitors of medical and industrial value. In this study, investigators developed Fit4Function, a generalizable machine learning (ML) approach for systematically engineering multi-trait adeno-associated virus (AAV) capsids. Fit4Function was used to generate reproducible screening data from a capsid library that samples the entire manufacturable sequence space. The Fit4Function data were used to train accurate sequence-to-function models, which were combined to develop a library of capsid candidates. Compared to AAV9, top candidates from the Fit4Function capsid library exhibited comparable production yields; more efficient murine liver transduction; up to 1,000-fold greater human hepatocyte transduction; and increased enrichment in a screen for liver transduction in macaques. The Fit4Function strategy enables prediction of peptide-modified AAV capsid traits across species and is a critical step toward assembling an ML atlas that predicts AAV capsid performance across dozens of traits. Supported by ORIP (P51OD011107, U42OD027094), NIDDK, NIMH, and NINDS.
Establishment of a Practical Sperm Cryopreservation Pathway for the Axolotl (Ambystoma mexicanum): A Community-Level Approach to Germplasm Repository Development
Coxe et al., Animals (Basel). 2024.
https://pubmed.ncbi.nlm.nih.gov/38254376/
The axolotl (Ambystoma mexicanum) is an important biomedical research model for organ regeneration, but housing and maintaining live animals is expensive and risky as new transgenic lines are developed. The authors report an initial practical pathway for sperm cryopreservation to support germplasm repository development. They assembled a pathway through the investigation of axolotl sperm collection by stripping, refrigerated storage in various osmotic pressures, cryopreservation in various cryoprotectants, and in vitro fertilization using thawed sperm. This work is the first report of successful production of axolotl offspring with cryopreserved sperm and provides a general framework for pathway development to establish Ambystoma germplasm repositories for future research and applications. Supported by ORIP (R24OD010441, R24OD028443, P40OD019794).
Conduction-Dominated Cryomesh for Organism Vitrification
Guo et al., Advanced Science. 2024.
https://pubmed.ncbi.nlm.nih.gov/38018294/
Vitrification-based cryopreservation via cryomesh is a promising approach for maintaining biodiversity, health care, and sustainable food production via long-term preservation of biological systems. Here, researchers conducted a series of experiments aimed at optimizing the cooling and rewarming rates of cryomesh to increase the viability of various cryopreserved biosystems. They found that vitrification was significantly improved by increasing thermal conductivity, reducing mesh wire diameter and pore size, and minimizing the nitrogen vapor barrier of the conduction-dominated cryomesh. Cooling rates increased twofold to tenfold in a variety of biosystems. The conduction-dominated cryomesh improved the cryopreservation outcomes of coral larvae, Drosophila embryos, and zebrafish embryos by vitrification. These findings suggest that the conduction-dominated cryomesh can improve vitrification in such biosystems for biorepositories, agriculture and aquaculture, and research. Supported by ORIP (R24OD028444, R21OD028758, R24OD034063, R21OD028214), NIDDK, and NIGMS.
The Monarch Initiative in 2024: An Analytic Platform Integrating Phenotypes, Genes and Diseases Across Species
Putman et al., Nucleic Acids Research. 2024.
https://pubmed.ncbi.nlm.nih.gov/38000386/
The Monarch Initiative aims to bridge the gap between the genetic variations, environmental determinants, and phenotypic outcomes critical for translational research. The Monarch app provides researchers access to curated data sets with information on genes, phenotypes, and diseases across species and advanced analysis tools for such diverse applications as variant prioritization, deep phenotyping, and patient profile matching. Researchers describe upgrades to the app, including scalable cloud-based infrastructure, simplified data ingestion and knowledge graph integration systems, enhanced data mapping and integration standards, and a new user interface with novel search and graph navigation features. A customized plugin for OpenAI’s ChatGPT allows the use of large language models to interrogate knowledge in the Monarch graph and increase the reliability of the responses of Monarch’s analytic tools. These upgrades will enhance clinical diagnosis and the understanding of disease mechanisms. Supported by ORIP (R24OD011883), NLM, and NHGRI.