Next-generation sequencing (NGS) is commonly used in a clinical setting for diagnostic and prognostic testing of genetic mutations to select optimal targeted therapies. Herein, we describe the development of a custom NGS assay for detecting single-nucleotide variants (SNVs) and copy number variations (CNVs) in a panel of 51 genes related to breast cancer. We designed and implemented a validation strategy in accordance with principles and guidelines developed by the Next-Generation Sequencing: Standardization of Clinical Testing work group using artificial, cell-free DNA (cfDNA) with mutant fragments prepared in a simple, rapid, and cost-effective manner. For SNV detection, our test had 96.30% sensitivity at mutant allele frequency ≥0.5% with high specificity (99.9997%) and accuracy (99.9996%). For CNV detection, the approach had 95.83% sensitivity for copy numbers at 1.25× (25.6% extra copies) with high specificity (99.77%) and accuracy (99.76%). In addition, our NGS-based assay demonstrated high intrarun and interrun reproducibility, high consistency compared to digital PCR, and a low cross-contamination rate. An overall assessment using cfDNA and plasma cfDNA samples demonstrated our custom NGS assay yields a reliable and robust detection sensitivity with a mutant allele frequency as low as 0.5% for SNVs and copy number of 1.25× for CNVs.

The analysis of circulating tumor DNA (ctDNA) using next-generation sequencing (NGS) has become a valuable tool for the development of clinical oncology. However, the application of this method is challenging due to its low sensitivity in analyzing the trace amount of ctDNA in the blood. Furthermore, the method may generate false positive and negative results from this sequencing and subsequent analysis. To improve the feasibility and reliability of ctDNA detection in the clinic, here we present a technique which enriches rare mutations for sequencing, Enrich Rare Mutation Sequencing (ER-Seq). ER-Seq can distinguish a single mutation out of 1 x 10 wild-type nucleotides, which makes it a promising tool to detect extremely low frequency genetic alterations and thus will be very useful in studying disease heterogenicity. By virtue of the unique sequencing adapter's ligation, this method enables an efficient recovery of ctDNA molecules, while at the same time correcting for errors bidirectionally (sense and antisense). Our selection of 1021 kb probes enriches the measurement of target regions that cover over 95% of the tumor-related driver mutations in 12 tumors. This cost-effective and universal method enables a uniquely successful accumulation of genetic data. After efficiently filtering out background error, ER-seq can precisely detect rare mutations. Using a case study, we present a detailed protocol demonstrating probe design, library construction, and target DNA capture methodologies, while also including the data analysis workflow. The process to carry out this method typically takes 1-2 days.

Banana (Musa spp.) is severely damaged by Fusarium wilt caused by Fusarium oxysporum f. sp. cubense (Foc). Biocontrol by inducing systemic resistance has been considered as one of the most important strategies to improve plant health. Very few studies have investigated appropriate reference gene selection for RT-qPCR (quantitative real-time polymerase chain reaction) analysis suitable for conditions of systemic activated resistance. In this study, we assessed over a time-course the expression of seven candidate reference genes (EF1, TUB, ACT1, ACT2, L2, RPS2 and RAN) for Cavendish cultivar Brazilian (Musa spp. AAA) and dwarf banana cultivar Guangfen No. 1 (Musa spp. ABB) that were inoculated by Bacillus subtilis strain TR21 and Foc. We choose these plants because they are commonly planted in Southern China. Expression stability of the candidate genes was evaluated using various software packages (GeNorm, NormFinder and BestKeeper). L2 and TUB genes displayed maximum stability in Guangfen No. 1. In Brazilian, ACT1 and TUB were the most stable genes. To further validate the suitability of the reference genes identified in this study, the expression of pathogenesis-related 1 (PR1) gene under TR21 and Foc strains Foc004/Foc009 treatments was also studied. Identified reference genes in this work that are most suitable for normalizing gene expression data in banana under Fusarium wilt resistance induction conditions will contribute to the understanding of disease resistance mechanisms induced by biocontrol strains in banana.

Shunts in crystalline silicon solar cells can be physically removed and replaced with good cells to eliminate their influences, which is proved by the experiments in this paper. By infrared imaging and laser cutting, the shunted regions near the edges of cell A and in the middle of cell B were identified and removed with their efficiencies increased by 6Á8% and 3Á0%, respectively. After shunt removal, cell B was patched up with good cells and its final work current further increased from 3Á71 to 4Á11 A. The result implies that this work could improve the output power and current matching in a module for the repaired cell.

Shunt can drastically decrease the solar cell conversion efficiency and its current measurement result only reflects the overall shunting effect of all shunts in a whole cell. In order to accurately characterize local shunts caused by the penetration of front contacts through the emitter junction, silicon solar cells with a new structure named beam bridge contact were fabricated. The result showed that the region under the emitter was more badly shunted than the other emitter regions. The sample preparation process was completely compatible with the industrial silicon fabrication sequence, which was of great convenience. The measurement results give informations on the solar cell structure, material ingredients, and process parameters.