bioRxiv Science⌕ Search

Biology subjects

Uplekar, S.

Publications and source records attributed to Uplekar, S..

2 recordsLinked to original sources

Translating Innovation to Clinic: End-to-End Bioprocess Development and cGMP Manufacturing of N332-GT5 HIV Vaccine Candidate for First-in-Human Trials HVTN144

The successful translation of rationally designed HIV-1 immunogens into effective vaccines requires manufacturing platforms that maintain structural conformity while meeting clinical-grade quality standards. We developed and scaled a robust, cGMP-compliant process for N332-GT5 gp140, a germline-targeting envelope trimer designed to initiate broadly neutralizing antibody responses, which is now undergoing first-in-human evaluation in HVTN144. Starting with a stable CHO cell line developed using Leap-In(R) transposon technology, we established a production clone exhibiting high-titer expression (>200 mg/L) and genetic stability through 60 population doublings. The manufacturing process scaled efficiently from Ambr(R) 250 miniature bioreactors to 200-L single-use systems, delivering consistent product quality across multiple cGMP batches. A streamlined three-step purification strategy--affinity capture, multimodal polishing, and viral clearance- yielded >99% trimeric purity with preserved quaternary structure and native-like antigenicity. Orthogonal LC-MS analyses confirmed site-specific glycan occupancy matching design specifications, while robust viral clearance exceeded 18-log and 11-log reductions for model retroviruses. Clinical material manufactured through this platform has been successfully administered in HVTN144. This work establishes a scalable, reproducible manufacturing paradigm for structurally complex HIV-1 envelope immunogens, advancing the field toward rational vaccine design based on germline-targeting principles.

bioengineering↗

A comprehensive AMR genotype-phenotype database (CABBAGE)

Addressing the growing threat of antimicrobial resistance (AMR) requires the development of large-scale resources that link bacterial genomic data with phenotypic antimicrobial resistance profiles. Such datasets are essential for advancing genotype-based predictions of resistance to uncover novel resistance mechanisms, as well as identifying and tracking global trends. Here, we describe the development of the Comprehensive Assessment of Bacterial-Based AMR prediction from GEnotypes (CABBAGE) database, linking bacterial genomes to associated antibiotic susceptibility data and relevant metadata across WHO Bacterial Priority Pathogens, sourced from both publications and existing databases, and curated into a format that is compatible with, and extends, both NCBI and ENA formats. The resulting CABBAGE database, comprising over 170,000 unique sequenced isolates and approximately 1.7 million genome-phenotype pairs linked to extensive metadata, represents the largest database of its kind, consolidating existing AMR phenotype-genotype data into a single unified format. CABBAGE encompasses a broad range of antimicrobials, facilitating the analysis of global resistance trends as well as benchmarks of genotype-to-phenotype predictive methods, and empowering further research uses. The database is freely accessible at https://www.ebi.ac.uk/amr and is currently being integrated with the BioSample database, enabling easy access for the AMR research community.

genomics↗