Advances in quantification of lentiviral vectors / 生物工程学报

Immunotherapy is becoming an effective and less invasive strategy that can be applied to the treatment of various malignancies. Lentiviral vectors (LVs) have shown great potential in immunotherapy as they can stably integrate relatively large foreign DNA, and effectively transduce dividing and non-dividing cells. Clinical application needs high quality LVs, and therefore strict quality control of the final products is necessary to ensure their purity, efficacy and safety. The quantitative detection of LVs is among the key parts of product development and quality control. In this paper, the existing methods for quantitative detection of LVs are summarized, including fluorescence activated cell sorter (FACS), P24 enzyme-linked immuno sorbent assay (P24 ELISA), real-time fluorescence quantitative polymerase chain reaction (RT-qPCR), nanoparticle tracking analysis (NTA), tunable resistive pulse sensing(TRPS) and virus counter(VC).Their advantages and disadvantages are listed, and future development and challenges are discussed.

A local-optimization refinement algorithm in single particle analysis for macromolecular complex with multiple rigid modules

Single particle analysis, which can be regarded as an average of signals from thousands or even millions of particle projections, is an efficient method to study the three-dimensional structures of biological macromolecules. An intrinsic assumption in single particle analysis is that all the analyzed particles must have identical composition and conformation. Thus specimen heterogeneity in either composition or conformation has raised great challenges for high-resolution analysis. For particles with multiple conformations, inaccurate alignments and orientation parameters will yield an averaged map with diminished resolution and smeared density. Besides extensive classification approaches, here based on the assumption that the macromolecular complex is made up of multiple rigid modules whose relative orientations and positions are in slight fluctuation around equilibriums, we propose a new method called as local optimization refinement to address this conformational heterogeneity for an improved resolution. The key idea is to optimize the orientation and shift parameters of each rigid module and then reconstruct their three-dimensional structures individually. Using simulated data of 80S/70S ribosomes with relative fluctuations between the large (60S/50S) and the small (40S/30S) subunits, we tested this algorithm and found that the resolutions of both subunits are significantly improved. Our method provides a proof-of-principle solution for high-resolution single particle analysis of macromolecular complexes with dynamic conformations.