Quantitative PCR assays for the species-specific detection of Fusarium graminearum sensu stricto and Fusarium asiaticum in winter wheat growing regions in China.

Fusarium graminearum species complex (FGSC) is one of the most devastating fungal plant pathogens of cereal crops worldwide, resulting in a corresponding mycotoxins contamination in cereal-based food. The detection of FGSC to study its population structure and species distribution is of great concern for the integrated control of mycotoxins contamination in grains entering food supply chains. In this study, real time quantitative PCR (RT-qPCR) and droplet digital PCR (ddPCR) methods were developed for the species-specific detection of Fusarium graminearum species complex in winter wheat growing regions in China. Primers and probes were designed basing the on the sequence of Fg-16 SCAR fragment (sequence characterized amplified regions analysis) and confirmed to make a distinguishment between the two prevailing species including Fusarium graminearum sensu stricto and Fusarium asiaticum. The assay specificity was tested against 24 isolates of target Fusarium species and several non-target Fusarium species that were frequently isolated from wheat in China. Consistent results could be obtained by the developed RT-qPCR and ddPCR assays, and both of them were sensitive enough for the detection of FGSC in these regions. Population structure and species distribution of FGSC in North China plain and Yangtze River plain by the developed qPCR assays accorded with previous results obtained by fungal isolation method. The newly developed qPCR assays are time-saving and will provide new insights during the routine surveillance of FGSC in winter wheat growing regions in China and possibly other countries.

DIRAS3, GPR171 and RAC2 were identified as the key molecular patterns associated with brain metastasis of breast cancer.

Objective: Brain metastasis is a primary cause of morbidity and mortality in breast cancer patients. Therefore, elucidation and understanding of the underlying mechanisms are essential for the development of new therapeutic strategies. Methods: Differential gene analysis was performed for those with and without distant metastasis in The Cancer Genome Atlas (TCGA) database and those with and without recurrence in the brain in the dataset GSE12276. The differentially expressed genes procured from the two databases were intersected to obtain the intersecting genes associated with brain metastasis. Thereafter, the intersecting genes were subjected to LASSO model construction to screen for prognostic genes. The expression of the obtained genes in metastatic breast cancer was observed, and survival analysis was performed. Finally, GSEA analysis of the obtained genes was performed, and the relationship between them and immune cells was explored. Results: A total of 335 differential genes for the occurrence of distant metastases were obtained based on the TCGA database. A total of 1070 differential genes for recurrence to the brain were obtained based on the dataset GSE12276. The Venn diagram showed 24 intersecting genes associated with brain metastasis. The LASSO prognostic model contained a total of five genes (GBP2, GPR171, DIRAS3, RAC2, and CACNA1D). Expression difference analysis showed that GBP2, GPR171, DIRAS3, and RAC2 were significantly down-regulated in expression in metastatic breast cancer compared with primary breast cancer tumors. Only GPR171, DIRAS3, and RAC2 were strongly correlated with the overall survival of breast cancer patients. Their correlation analysis with immune cells showed that the correlation coefficient between the expression levels of DIRAS3 and immune cells was low, and the expression levels of GPR171 and RAC2 were more closely correlated with B cells and macrophages. Conclusions: The expression of DIRAS3, GPR171 and RAC2, genes associated with brain metastasis, was reduced in metastatic breast cancer, and GPR171 was found to promote brain metastasis of breast cancer cells by inducing B cells and thereby.

Predictive models for assessing the risk of Fusarium pseudograminearum mycotoxin contamination in post-harvest wheat with multi-parameter integrated sensors.

Reliable prediction of the risk of mycotoxin contamination in post-harvest wheat will aid in improvement of the quality and safety. To establish the relationship between Fusarium pseudograminearum mycotoxins and CO2 production, changes in their respective concentrations were monitored for the artificial contamination of wheat under different values of water activities (0.84 aw, 0.92 aw, and 0.97 aw) and temperatures (20 ℃, 25 ℃, and 30 ℃). Water activity played a significant role in all these processes. CO2 concentration together with moisture content and temperature were used as the main parameters to establish DON and ZEN contamination prediction models. The prediction accuracy for DON was 98.15 % (R2 = 0.990) and 90.74 % for ZEN (R2 = 0.982). These models were combined with T/RH/MC/CO2 multi-parameter integrated sensors to form an early warning system, which offers a great prospect to minimise the risk of DON/ZEN contamination in post-harvest wheat.

miR-139-5p Was Identified as Biomarker of Different Molecular Subtypes of Breast Carcinoma.

Located on chromosome 11q13.4, miR-139-5p has been confirmed by several studies as a possible attractive biomarker for cancer, including breast cancer, but its mechanism of correlation in different molecular subtypes of breast cancer has not been reported. In this study, comprehensive bioinformatics analysis was used to evaluate the expression of miR-139-5p in different molecular subtypes of breast cancer (luminal A, luminal B, HER2-enriched, and basal-like). The target genes of miR-139-5p were predicted by using an online database TargetScan and miRDB, and three key genes, FBN2, MEX3A, and TPD52, were screened in combination with differentially expressed genes in different molecular subtypes of breast cancer. The expression of the three genes was verified separately, and the genes were analyzed for pathway and functional enrichment. Bone marrow mesenchymal stem cells (BMSC) are another kind of highly plastic cell population existing in bone marrow besides hematopoietic stem cells. BMSC can affect the proliferation and migration of cancer cells, promote the metastasis and development of cancer, and regulate the tumor microenvironment by secreting exosome mirnas, thus affecting the malignant biological behavior of tumor cells. Finally, human bone marrow mesenchymal stem cells exosomes were obtained by ultracentrifugation, and the morphology of exosomes was observed by transmission electron microscopy. The expression of miR-139-5p in normal breast cells MCF-10A, human breast cancer cell line MDA-MB-231 cells, and BMSCs-derived exosomes were compared; the exosomes and MDA-MB-231 cells were co-cultured to observe their effects on the proliferation of the MDA-MB-231 cells. Human bone marrow mesenchymal stem cell-derived exosomes inhibited the growth of breast cancer cells and promoted the expression of FBN2, MEX3A, and TPD52 by transporting miR-139-5p.

Organic molecular passivation of phosphorene: An aptamer-based biosensing platform.

Black phosphorus (BP), also known as phosphorene (PP), is a fascinating two-dimensional (2D) material with extraordinary anisotropic mechanical, electronic and optoelectronic properties. However, PP is sensitive to oxygen and moisture and is completely degenerated by oxygen and humid air within 12 h, which limits its applications. Here, we coat PP with hexamethylenediamine (HMA), which allows the coated PP to maintain its original form in aqueous solution for over one month. The stable PP is dotted with gold nanoparticles to facilitate binding to a 3,3'4,4'-polychlorinated biphenyl (PCB77) aptamer (ap) as a biosensor. The aptamer biosensor based on gold nanoparticle-dotted PP nanocomposites (PP-AuNPs) exhibits superior analytical performance, and its sensitivity (391.1 µA cm-2) is approximately three times higher than that of an AuNP-based sensor (AuNP-Ap/Au electrode, 147.2 µA cm-2). This biosensor has a low detection limit (DL) of 33 pg L-1 toward PCB77 with a dynamic response range toward PCB77 from 100 pg L-1 to 10 µg L-1. This research opens up avenues for the use of PP to make multiplexed diagnosis platforms in aqueous systems.