Multidrug resistance (MDR) is a major impediment to the success of cancer chemotherapy. One of the effective approaches to overcome MDR is to use nanoparticle-mediated the gene silence of chemotherapeutic export proteins by RNA interference to increase drug accumulation in drug resistant cancer cells. In this work, a new co-delivery system, DOX-PLGA/PEI/P-gp shRNA nanobubbles (NBs) around 327 nm, to overcome doxorubicin (DOX) resistance in MCF-7 human breast cancer was designed and developed. Positively charged polyethylenimine (PEI) were modified onto the surface of DOX-PLGA NBs through DCC/NHS crosslinking, and could efficiently condense P-gp shRNA into DOX-PLGA/PEI NBs at vector/shRNA weight ratios of 70:1 and above. An in vitro release profile demonstrated an efficient DOX release (more than 80%) from DOX-PLGA/PEI NBs at pH 4.4, suggesting a pH-responsive drug release for the multifunctionalized NBs. Cellular experimental results further showed that DOX-PLGA/PEI/P-gp shRNA NBs could facilitate cellular uptake of DOX into cells and increase the cell proliferation suppression effect of DOX against MCF-7/ADR cells (a DOX-resistant and P-glycoprotein (P-gp) over-expression cancer cell line). The IC50 of DOX-PLGA NBs against MCF-7/ADR cells was 2-fold lower than that of free DOX. The increased cellular uptake and nuclear accumulation of DOX delivered by DOX-PLGA/PEI/P-gp shRNA NBs in MCF-7/ADR cells was confirmed by fluorescence microscopy and fluorescence spectrophotometry, and might be owning to the down-regulation of P-gp and reduced the efflux of DOX. The cellular uptake mechanism of DOX-PLGA/PEI/P-gp shRNA NBs indicated that the macropinocytosis was one of the pathways for the uptake of NBs by MCF-7/ADR cells, which was also an energy-dependent process. Furthermore, the in vitro cellular ultrasound imaging suggested that the employment of the DOX-PLGA/PEI/P-gp shRNA NBs could efficiently enhance ultrasound imaging of cancer cells. These results demonstrated that the developed DOX-PLGA/PEI/P-gp shRNA NBs is a potential, safe and efficient theranotic agent for cancer therapy and diagnostics.

Microbubbles (MBs, usually 2-8 microm) as ultrasound contrast agent and drug carrier are promising for ultrasonic imaging and drug delivery. However, MBs posed some limitations due to their large diameters. In the current study, we developed a nanoscale bubbles (nanobubbles, NBs) by encapsulating the doxorubicin (DOX) into poly(lactic-co-glycolic acid) (PLGA) shells (denoted as DOX-PLGA NBs) for drug delivery into cancer cells. The size, morphology, particle stability, drug encapsulation efficiency, and drug payload were determined. The results showed that the DOX-PLGA NBs were uniform (270 +/- 3 nm) and spherical with a smooth surface, and were well dispersed and stable in water. The encapsulation efficiency and payload of DOX increased with its initial loading concentrations. The release behavior of DOX from the DOX-PLGA NBs exhibited a biphasic pattern characterized by an initial burst release followed by a slower and continuous release at both pH 7.4 and pH 4.4, and also presented in a pH-triggered releasing profile. The qualitative analysis of cellular internalization into HeLa cells by inverted fluorescence microscope showed that the cellular uptake of DOX-PLGA NBs was both concentration- and time-dependent. Moreover, the cell viability was also investigated using CCK-8 assay. It was found that DOX-PLGA NBs showed greater HeLa cell growth inhibition effect in vitro compared with free DOX. It was concluded that the DOX-PLGA NBs were biocompatible and appropriate for anti-cancer drug delivery, and were potentially promising as a new therapeutic system for cancer treatment.

With the rapid decline in cost of sequencing, it is now affordable to examine multiple genes in a single disease-targeted clinical test using next generation sequencing. Current targeted sequencing methods require a separate step of targeted capture enrichment during sample preparation before sequencing. Although there are fast sample preparation methods available in market, the library preparation process is still relatively complicated for physicians to use routinely. Here, we introduced an amplification-free Single Molecule Targeted Sequencing (SMTS) technology, which combined targeted capture and sequencing in one step. We demonstrated that this technology can detect low-frequency mutations using artificially synthesized DNA sample. SMTS has several potential advantages, including simple sample preparation thus no biases and errors are introduced by PCR reaction. SMTS has the potential to be an easy and quick sequencing technology for clinical diagnosis such as cancer gene mutation detection, infectious disease detection, inherited condition screening and noninvasive prenatal diagnosis.

When a severe natural disaster occurs, the extraction of post-disaster building damage information is one of the methods to quickly obtain disaster information. The increasingly mature high-resolution remote sensing technology provides a solid foundation for obtaining information about building damage. To address the issues with inaccurate building positioning in existing building damage assessment methods, as well as poor classification due to similar minor and major damage characteristics in building damage classification. Based on U-Net, we designed a two-stage building damage assessment network. The first stage is an independent U-Net focused on building segmentation, followed by a Siamese U-Net focused on building damage classification. The Extra Skip Connection and Asymmetric Convolution Block were used for enhancing the network's ability to segment buildings on different scales; Shuffle Attention directed the network's attention to the correlation of buildings before and after the disaster. The xBD dataset was used for training and testing in the study, and the overall performance was evaluated using a balanced F-score (F1). The improved network had an F1 of 0.8741 for localization and F1 of 0.7536 for classification. When compared to other methods, it achieved better overall performance for building damage assessment and was able to generalize to multiple disasters.

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