The outbreak of severe acute respiratory
syndrome coronavirus 2
(SARS-CoV-2) caused a global health emergency, and its gene mutation
and evolution further posed uncertainty of epidemic risk. Herein,
we reported a light-up CRISPR-Cas13 transcription amplification method,
which enables the detection of SARS-CoV-2 and its mutated variants.
Sequence specificity was ensured by both the ligation process and
Cas13a/crRNA recognition, allowing us to identify viral RNA mutation.
Light-up RNA aptamer allows sensitive output of amplification signals
via target-activated ribonuclease activity of CRISPR-Cas13a. The RNA
virus assay has been designed to detect coronavirus, SARS-CoV-2, Middle
East respiratory syndrome (MERS), and SARS, as well as the influenza
viruses such as, H1N1, H7N9, and H9N2. It was accommodated to sense
as low as 82 copies of SARS-CoV-2. Particularly, it allowed us to
strictly discriminate key mutation of the SARS-CoV-2 variant, D614G,
which may induce higher epidemic and pathogenetic risk. The proposed
RNA virus assays are promising for point-of-care monitoring of SARS-CoV-2
and its risking variants.
Battery safety, at the foundation of fast charging, is
critical to the application of lithium-ion batteries, especially for
high energy density cells applied in electric vehicles. In this paper,
an earlier thermal runaway of cells after fast charging application
is illustrated. Under this condition, the reaction between the plated
lithium and electrolyte is revealed to be the mechanism of thermal
runaway triggering. The mechanism is proved by the accelerated rate
calorimetry tests for partial cells, which determine the triggering
reactions of thermal runaway in the anode–electrolyte thermodynamic
system. The reactants in this system are analyzed by nuclear magnetic
resonance and differential scanning calorimetry, proving that the
vigorous exothermic reaction is induced by the interaction between
the plated lithium and electrolyte. As a result, the finding of thermal
runaway triggered by the plated lithium on anode surface of cells
after fast charging promotes the understanding of thermal runaway
mechanisms, which warns of the danger of plated lithium in the utilization
of lithium-ion batteries.
Sarcopenia diagnosed with L3 SMI can be a negative predictor of postoperative and survival outcomes for non-metastatic CRC patients. Prospective studies with a uniform definition of sarcopenia are needed to update our findings.
Additive Manufacturing (AM), generally also referred to as 3D printing, has gone through vast development in the past 20 years which still continues. In particular, the market segment of personal 3D printers has achieved an average annually growth rate of approximately 170% from 2008 to 2013. The purpose of this research is to identify the best AM process applied in personal printers in terms of cost, sustainability, surface roughness, and human perception, as these aspects are essential for this new thriving market segment's future. In addition, the research investigates which objective roughness parameters are suitable for qualifying subjective perceptions. The primary AM processes, Fused Deposition Modeling, Stereolithography and Polyjet printing are in the focus of this research. Manufacturing costs as well as environmental impact are calculated, five independent roughness parameters (Ra, Rz, Rq, Rsk, and Rku) are measured and the subjective perception of samples is assessed through sensorial analysis. In conclusion, samples manufactured with Polyjet printing have the best subjective quality, but the highest costs and environmental impact. Biplots of roughness parameters versus sensorial ranking indicates a significant correlation between maximum peak-to-valley height Rz and tactile and visual perception, while the kurtosis of the topography height distribution Rku correlated best to the hedonic rank.
Colorectal cancer (CRC) ranks as one of the most common malignant tumors worldwide. Its mortality rate has remained high in recent years. Therefore, the aim of this study was to identify significant differentially expressed genes (DEGs) involved in its pathogenesis, which may be used as novel biomarkers or potential therapeutic targets for CRC. The gene expression profiles of GSE21510, GSE32323, GSE89076, and GSE113513 were downloaded from the Gene Expression Omnibus (GEO) database. After screening DEGs in each GEO data set, we further used the robust rank aggregation method to identify 494 significant DEGs including 212 upregulated and 282 downregulated genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed by DAVID and the KOBAS online database, respectively. These DEGs were shown to be significantly enriched in different cancer‐related functions and pathways. Then, the STRING database was used to construct the protein–protein interaction network. The module analysis was performed by the MCODE plug‐in of Cytoscape based on the whole network. We finally filtered out seven hub genes by the cytoHubba plug‐in, including PPBP,
CXCL11. The expression validation and survival analysis of these hub genes were analyzed based on The Cancer Genome Atlas database. In conclusion, the robust DEGs associated with the carcinogenesis of CRC were screened through the GEO database, and integrated bioinformatics analysis was conducted. Our study provides reliable molecular biomarkers for screening and diagnosis, prognosis as well as novel therapeutic targets for CRC.
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