Rapid and efficient isolation platform for plasma extracellular vesicles: EV-FISHER.

Extracellular vesicles (EVs) have found diverse applications in clinical theranostics. However, the current techniques to isolate plasma EVs suffer from burdensome procedures and limited yield. Herein, we report a rapid and efficient EV isolation platform, namely, EV-FISHER, constructed from the metal-organic framework featuring cleavable lipid probes (PO4 3- -spacer-DNA-cholesterol, PSDC). The EV-FISHER baits EVs from plasma by cholesterol and separates them with an ordinary centrifuge. The captured EVs could be released and collected upon subsequent cleavage of PSDC by deoxyribonuclease I. We conclude that EV-FISHER dramatically outperforms the ultracentrifugation (UC) in terms of time (∼40 min vs. 240 min), isolation efficiency (74.2% vs. 18.1%), and isolation requirement (12,800 g vs. 135,000 g). In addition to the stable performance in plasma, EV-FISHER also exhibited excellent compatibility with downstream single-EV flow cytometry, enabling the identification of glypican-1 (GPC-1) EVs for early diagnosis, clinical stages differentiation, and therapeutic efficacy evaluation in breast cancer cohorts. This work portrays an efficient strategy to isolate EVs from complicated biological fluids with promising potential to facilitate EVs-based theranostics.

Alterations in exosomal miRNA profile upon epithelial-mesenchymal transition in human lung cancer cell lines.

BACKGROUND: Epithelial-mesenchymal transition (EMT) is regarded as a critical event during tumor metastasis. Recent studies have revealed changes and the contributions of proteins in/on exosomes during EMT. Besides proteins, microRNA (miRNA) is another important functional component of exosomes. We hypothesized that the miRNA profile of exosomes may change following EMT and these exosomal miRNAs may in return promote EMT, migration and invasion of cancer cells. RESULTS: The small RNA profile of exosomes was altered following EMT. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that the specific miRNAs of M-exosomes have the potential to drive signal transduction networks in EMT and cancer progression. Co-culture experiments confirmed that M-exosomes can enter epithelial cells and promote migration, invasion and expression of mesenchymal markers in the recipient cells. CONCLUSION: Our results reveal changes in the function and miRNA profile of exosomes upon EMT. M-exosomes can promote transfer of the malignant (mesenchymal) phenotype to epithelial recipient cells. Further, the miRNAs specifically expressed in M-exosomes are associated with EMT and metastasis, and may serve as new biomarkers for EMT-like processes in lung cancer.

Contourlet domain multiband deblurring based on color correlation for fluid lens cameras.

Due to the novel fluid optics, unique image processing challenges are presented by the fluidic lens camera system. Developed for surgical applications, unique properties, such as no moving parts while zooming and better miniaturization than traditional glass optics, are advantages of the fluid lens. Despite these abilities, sharp color planes and blurred color planes are created by the nonuniform reaction of the liquid lens to different color wavelengths. Severe axial color aberrations are caused by this reaction. In order to deblur color images without estimating a point spread function, a contourlet filter bank system is proposed. Information from sharp color planes is used by this multiband deblurring method to improve blurred color planes. Compared to traditional Lucy-Richardson and Wiener deconvolution algorithms, significantly improved sharpness and reduced ghosting artifacts are produced by a previous wavelet-based method. Directional filtering is used by the proposed contourlet-based system to adjust to the contours of the image. An image is produced by the proposed method which has a similar level of sharpness to the previous wavelet-based method and has fewer ghosting artifacts. Conditions for when this algorithm will reduce the mean squared error are analyzed. While improving the blue color plane by using information from the green color plane is the primary focus of this paper, these methods could be adjusted to improve the red color plane. Many multiband systems such as global mapping, infrared imaging, and computer assisted surgery are natural extensions of this work. This information sharing algorithm is beneficial to any image set with high edge correlation. Improved results in the areas of deblurring, noise reduction, and resolution enhancement can be produced by the proposed algorithm.