High-fidelity detection and sorting of nanoscale vesicles in viral disease and cancer.

Biological nanoparticles, including viruses and extracellular vesicles (EVs), are of interest to many fields of medicine as biomarkers and mediators of or treatments for disease. However, exosomes and small viruses fall below the detection limits of conventional flow cytometers due to the overlap of particle-associated scattered light signals with the detection of background instrument noise from diffusely scattered light. To identify, sort, and study distinct subsets of EVs and other nanoparticles, as individual particles, we developed nanoscale Fluorescence Analysis and Cytometric Sorting (nanoFACS) methods to maximise information and material that can be obtained with high speed, high resolution flow cytometers. This nanoFACS method requires analysis of the instrument background noise (herein defined as the "reference noise"). With these methods, we demonstrate detection of tumour cell-derived EVs with specific tumour antigens using both fluorescence and scattered light parameters. We further validated the performance of nanoFACS by sorting two distinct HIV strains to >95% purity and confirmed the viability (infectivity) and molecular specificity (specific cell tropism) of biological nanomaterials sorted with nanoFACS. This nanoFACS method provides a unique way to analyse and sort functional EV- and viral-subsets with preservation of vesicular structure, surface protein specificity and RNA cargo activity.

Multiparameter analysis of CHO AL mutant populations sorted on CD59 expression after gamma irradiation.

The flow cytometry mutation assay is based on detecting mutations in the CD59 gene on human chromosome 11 in CHO A(L) cells with flow cytometry, but the kinetics of mutant expression and the histogram region for mutant selection have not been studied in detail. CHO A(L) cells were analyzed by flow cytometry for CD59 expression at various times after irradiation. The mutant fraction increased to a maximum at day 6 but decreased to near background levels by day 20. Cells were sorted from six different regions on the CD59 histograms after irradiation. The growth rate was similar for cells from all regions, and the surviving fraction was 50% of that for control cells. By 14 days the CD59 expression of cells from regions 2-5 was reduced to that of region 1. Cells were also analyzed for simultaneous expression of CD59, CD44 and CD90 (all on chromosome 11) to roughly characterize the size of the mutations. Triple mutants from the sorted populations were reduced from 41% on day 6 to 8% on day 24. We conclude that the mutant region should be increased to include cells with intermediate CD59 expression; also, the loss of CD59 mutant expression over time could be explained in part by the loss of triple mutants from the population.

Mutant spectra of irradiated CHO AL cells determined with multiple markers analyzed by flow cytometry.

We have previously developed a sensitive and rapid mammalian cell mutation assay which is based on a Chinese hamster ovary cell line that stably incorporates human chromosome 11 (CHO A(L)) and uses flow cytometry to measure mutations in CD59. We now show that multiparameter flow cytometry may be used to simultaneously analyze irradiated CHO A(L) cells for mutations in five CD genes along chromosome 11 (CD59, CD44, CD90, CD98, CD151) and also a GPI-anchor gene. Using this approach, 19 different mutant clones derived from individual sorted mutant cells were analyzed to determine the mutant spectrum induced by ionizing radiation. All clones analyzed were negative for CD59 expression and PCR confirmed that at least CD59 exon 4 was also absent. As expected, ionizing radiation frequently caused large deletions along chromosome 11. This technology can readily be used to rapidly analyze the mutant yield as well as the spectrum of mutations caused by a variety of genotoxic agents and provide greater insight into the mechanisms of mutagenesis.

Comparison of the mutagenic potential of 17 physical and chemical agents analyzed by the flow cytometry mutation assay.

Several methods to assess genotoxicity of physical and chemical agents have been developed, most of which depend on growing colonies in selective medium. We recently published a new method for detecting mutations in the CD59 gene in a Chinese hamster ovary cell line that contains a single copy of human chromosome 11 (CHO A(L)). The assay is based on detecting the surface expression of CD59 with monoclonal antibodies using flow cytometry. The capabilities of this flow cytometry mutation assay (FCMA) to detect mutations from a wide variety of genotoxic agents are described here. There was a 400-fold separation between CD59- and CD59+ populations based on fluorescence intensity. Small numbers of negative cells mixed in with positive cells were detected in a highly linear fashion. Mutation dose response curves over a dose range yielding 80% to 20% survival are shown for ethyl methane sulfonate (EMS), mitomycin C (MMC) and lead acetate. EMS and lead acetate exhibited a threshold in response while MMC had a linear dose response over the full dose range. The mutant fraction was measured over time periods ranging up to 35 days following treatment. The mutant fraction peaked at different times ranging from 6 to 12 days after treatment. An additional 14 chemical and physical agents including point mutagens, heavy metals, ionizing and UV radiation, and DNA intercalators and cross linkers, were analyzed for mutagenic potential after doses giving 80% to 20% survival. The results presented here demonstrate the sensitivity and broad-ranging capability of the FCMA to detect mutations induced by a variety of genotoxic agents.

A promiscuous prion: efficient induction of [URE3] prion formation by heterologous prion domains.

The [URE3] and [PSI(+)] prions are the infections amyloid forms of the Saccharomyces cerevisiae proteins Ure2p and Sup35p, respectively. Randomizing the order of the amino acids in the Ure2 and Sup35 prion domains while retaining amino acid composition does not block prion formation, indicating that amino acid composition, not primary sequence, is the predominant feature driving [URE3] and [PSI(+)] formation. Here we show that Ure2p promiscuously interacts with various compositionally similar proteins to influence [URE3] levels. Overexpression of scrambled Ure2p prion domains efficiently increases de novo formation of wild-type [URE3] in vivo. In vitro, amyloid aggregates of the scrambled prion domains efficiently seed wild-type Ure2p amyloid formation, suggesting that the wild-type and scrambled prion domains can directly interact to seed prion formation. To test whether interactions between Ure2p and naturally occurring yeast proteins could similarly affect [URE3] formation, we identified yeast proteins with domains that are compositionally similar to the Ure2p prion domain. Remarkably, all but one of these domains were also able to efficiently increase [URE3] formation. These results suggest that a wide variety of proteins could potentially affect [URE3] formation.

Assay to measure CD59 mutations in CHO A(L) cells using flow cytometry.

BACKGROUND: A sensitive mammalian cell mutation assay was developed previously using a Chinese hamster ovary cell line (CHO A(L)) that stably incorporates human chromosome 11. The assay measures mutations in the CD59 gene on chromosome 11 but it requires the use of rabbit complement and colony growth for mutant selection. We have developed a more rapid flow cytometry-based mutation assay with CHO A(L) cells that uses monoclonal antibodies against CD59 to detect mutants and does not require colony formation. METHODS: CHO A(L) cells were treated with gamma-radiation or N-methyl-N'-nitro-N-nitrosoguanidine (MNNG) and then allowed to grow for various times for mutant expression. Cells were labeled with monoclonal antibodies against CD59 and analyzed by flow cytometry. RESULTS: Negative and positive populations were separated by over 100-fold. Mixing various proportions of CD59-positive and -negative cells demonstrated that the assay is highly linear (r2 = 0.9999) and sensitive (<0.05% background mutants). The yield of CD59-inducible mutants was linearly related to dose for a clastogen (gamma-radiation) and point mutagen (MNNG). The mutant yield was time and treatment specific. CONCLUSIONS: Mutations induced by genotoxic agents can be rapidly and sensitively measured in CHO A(L) cells using flow cytometry.