Particle size distribution of exosomes and microvesicles determined by transmission electron microscopy, flow cytometry, nanoparticle tracking analysis, and resistive pulse sensing.

BACKGROUND: Enumeration of extracellular vesicles has clinical potential as a biomarker for disease. In biological samples, the smallest and largest vesicles typically differ 25-fold in size, 300,000-fold in concentration, 20,000-fold in volume, and 10,000,000-fold in scattered light. Because of this heterogeneity, the currently employed techniques detect concentrations ranging from 10(4) to 10(12) vesicles mL(-1) . OBJECTIVES: To investigate whether the large variation in the detected concentration of vesicles is caused by the minimum detectable vesicle size of five widely used techniques. METHODS: The size and concentration of vesicles and reference beads were measured with transmission electron microscopy (TEM), a conventional flow cytometer, a flow cytometer dedicated to detecting submicrometer particles, nanoparticle tracking analysis (NTA), and resistive pulse sensing (RPS). RESULTS: Each technique gave a different size distribution and a different concentration for the same vesicle sample. CONCLUSION: Differences between the detected vesicle concentrations are primarily caused by differences between the minimum detectable vesicle sizes. The minimum detectable vesicle sizes were 70-90 nm for NTA, 70-100 nm for RPS, 150-190 nm for dedicated flow cytometry, and 270-600 nm for conventional flow cytometry. TEM could detect the smallest vesicles present, albeit after adhesion on a surface. Dedicated flow cytometry was most accurate in determining the size of reference beads, but is expected to be less accurate on vesicles, owing to heterogeneity of the refractive index of vesicles. Nevertheless, dedicated flow cytometry is relatively fast and allows multiplex fluorescence detection, making it most applicable to clinical research.

A radiation hybrid map of chicken chromosome 15.

We have constructed a radiation hybrid (RH) map of chicken chromosome (GGA) 15. This map can be used as a resource to efficiently map genes to this chromosome. The map has been developed using a 6000 rad chicken-hamster whole-genome radiation hybrid panel (ChickRH6). In total, six microsatellite loci, 18 sequence tagged sites (STSs) from BAC end sequences and 11 genes were typed on the panel. The initial framework map comprised eight markers, and an additional 23 markers were then added to generate the final map. The total map length was 334 centiRay6000 (cR6000). The estimated retention frequency for the data set was 18%. Using an estimated physical length of 21 Mb, the ratio between cR6000 and physical distance over GGA15 was estimated to be 0.063 Mb/cR6000. The present map increases the marker density and the marker resolution on GGA15 and enables fast mapping of new chicken genes homologous to genes from human chromosomes 12 and 22.