Exosomes are vital mediators for intercellular communications in the tumor microenvironment to accelerate colon cancer progression. Leucine-rich repeat-containing 8A (LRRC8A), the core component of the volume-regulated anion channel, is closely associated with acquiring heterogeneity for tumor cells. However, the role of LRRC8A in the exosomes remains largely unknown. Here, we reported that LRRC8A was one of the compositions in the exosomes released from colon cancer HCT116 cells. Downregulation of LRRC8A proteins inhibited ex vivo cell growth and induced apoptosis. Consistently, chloride channel blockers DCPIB and NPPB inhibited cell growth and induced cell apoptosis in a time or concentration-dependent manner. Interestingly, the total amounts and proportions of different diameter exosomes released in 6 hours were not altered by the treatment of DCPIB and NPPB in HCT116 cells. In contrast to the downregulation or inhibition of LRRC8A, overexpression of LRRC8A proteins in HCT116 cells released significantly more distinct populations of exosomes. Importantly, the switches of ratios for exosomes in a hypotonic challenge were eliminated by DCPIB treatment. Collectively, our results uncovered that LRRC8A proteins were responsible for the exosome generation and sorted into exosomes for monitoring the volume regulation.

In order to explore the cause of characteristic change and pathological variation of myocardial fiber structure, the posterior probability distribution of fiber direction was described. To solve the problems of low computational efficiency and slow convergence of traditional particle filter, an adaptive particle filter myocardial fiber reconstruction algorithm based on diffusion anisotropy is proposed. This algorithm dynamically adjusts the number of particles and the disturbance intensity at the prediction stage according to the diffusion anisotropy values at different body elements. While ensuring the quality of state estimation, the computational complexity of the algorithm is reduced and the operating efficiency of the system is significantly improved. The experimental results show that the proposed method has strong anti-noise ability. While improving the accuracy of fiber reconstruction, the computational cost of the system decreases by 50%, which significantly improves the efficiency of the system. The proposed algorithm is good over traditional PF and STL approaches.