Enhanced Over-Representation Analysis for the Differential Regulation of Birc5a and HIF2α-Knockdown Approaches

Hypoxia-inducible factors (HIFs) and survivin (Birc5) genes are often considered important cancer drug targets for molecularly targeted therapy, as both genes play important roles in the cellular differentiation and development of neuronal cells. Pathway enrichment analysis is predominantly applied when interpreting the correlated behaviors of activated gene clusters. Traditional enrichment analysis is evaluated via p-values only, regardless of gene expression fold-change levels, gene locations, and possible hidden interactions within a pathway. Here, we combined these factors to retrieve significant pathways, as compared with traditional approaches. We performed RNA-seq analyses on Birc5a and HIF2α knocked down in zebrafish during the embryogenesis stage. Regarding Birc5a, two additional biological pathways, sphingolipid metabolism and herpes simplex infection, were identified; whereas for HIF2α, four biological pathways were re-identified, including ribosome biogenesis in eukaryotes, proteasome, purine metabolism, and complement and coagulation cascades. Our proposed approaches identified additional significant pathways directly related to cell differentiation or cancer, also providing comprehensive mechanisms for designing further biological experiments.

A voting mechanism-based linear epitope prediction system for the host-specific Iridoviridae family

Background

The Iridoviridae family is categorized into five genera and clustered into two subfamilies: Alphairidovirinae includes Lymphocystivirus, Ranavirus (GIV), and Megalocystivirus (TGIV), which infect vertebrate hosts and Betairidovirinae includes Iridovirus and Chloriridovirus, which infect invertebrate hosts. Clustered Iridoviridae subfamilies possess host-specific characteristics, which can be considered as exclusive features for in-silico prediction of effective epitopes for vaccine development. A voting mechanism-based linear epitope (LE) prediction system was applied to identify and endorse LE candidates with a minimum length requirement for each clustered subfamily

Results

The experimental results showed that four conserved epitopes among the Iridovirideae family, one exclusive epitope for invertebrate subfamily and two exclusive epitopes for vertebrate family were predicted. These predicted LE candidates were further validated by ELISA assays for evaluating the strength of antigenicity and cross antigenicity. The conserved LEs for Iridoviridae family reflected high antigenicity responses for the two subfamilies, while exclusive LEs reflected high antigenicity responses only for the host-specific subfamily

Conclusions

Host-specific characteristics are important features and constraints for effective epitope prediction. Our proposed voting mechanism based system provides a novel approach for in silico LE prediction prior to vaccine development, and it is especially powerful for analyzing antigen sequences with exclusive features between two clustered groups.

Heating efficiency improvement by using a spherically-concaved sectored array in focused ultrasound thermal therapy

Focus splitting by using sector-sectioned phased arrays is one of effective methods to increase the necrosed volume in single sonication and to reduce the total treatment time in large tumor treatment. However, the split focus contains less concentrated energy and severer focal beam distortion, which limits its usefulness in practical treatments. In this study, we proposed a new heating strategy by combining sonications of strongly-focused and split-focused patterns to increase the heating efficiency. Theoretical predictions and ex-vivo tissue experiments showed that thermal lesions can be enlarged in dimensions after applying the proposed strategy. This may provide a useful way to solve current obstacles in low heating efficiency of split-focus sonications that attempted to shorten the total treatment time in current clinical application.