Optical coherence tomography to detect acute esophageal radiation‐induced damage in mice: A validation study

Radiation therapy for patients with non‐small‐cell lung cancer is hampered by acute radiation‐induced toxicity in the esophagus. This study aims to validate that optical coherence tomography (OCT), a minimally invasive imaging technique with high resolution (~10 μm), is able to visualize and monitor acute radiation‐induced esophageal damage (ARIED) in mice. We compare our findings with histopathology as the gold standard. Irradiated mice receive a single dose of 40 Gy at proximal and distal spots of the esophagus of 10.0 mm in diameter. We scan mice using OCT at two, three, and seven days post‐irradiation. In OCT analysis, we define ARIED as a presence of distorted esophageal layering, change in backscattering signal properties, or change in the esophageal wall thickness. The average esophageal wall thickness is 0.53 mm larger on OCT when ARIED is present based on histopathology. The overall sensitivity and specificity of OCT to detect ARIED compared to histopathology are 94% and 47%, respectively. However, the overall sensitivity of OCT to assess ARIED is 100% seven days post‐irradiation. We validate the capability of OCT to detect ARIED induced by high doses in mice. Nevertheless, clinical studies are required to assess the potential role of OCT to visualize ARIED in humans.      

The effects of different cold‐temperature regimes on development,growth, and susceptibility to an abiotic and biotic stressor

相似文献   

Development of high‐resolution DNA barcodes for Dioscorea species discrimination and phylogenetic analysis

The genus Dioscorea is widely distributed in tropical and subtropical regions, and is economically important in terms of food supply and pharmaceutical applications. However, DNA barcodes are relatively unsuccessful in discriminating between Dioscorea species, with the highest discrimination rate (23.26%) derived from matK sequences. In this study, we compared genic and intergenic regions of three Dioscorea chloroplast genomes and found that the density of SNPs and indels in intergenic sites was about twice and seven times higher than that of SNPs and indels in the genic regions, respectively. A total of 52 primer pairs covering highly variable regions were designed and seven pairs of primers had 80%–100% PCR success rate. PCR amplicons of 73 Dioscorea individuals and assembled sequences of 47 Dioscorea SRAs were used for estimating intraspecific and interspecific divergence for the seven loci: The rpoB‐trnC locus had the highest interspecific divergence. Automatic barcoding gap discovery (ABGD), Poisson tree processes (PTP), and generalized mixed Yule coalescence (GMYC) analysis were applied for species delimitation based on the seven loci and successfully identified the majority of species, except for species in the Enantiophyllum section. Phylogenetic analysis of 51 Dioscorea individuals (28 species) showed that most individuals belonging to the same species tended to cluster in the same group. Our results suggest that the variable loci derived from comparative analysis of plastid genome sequences could be good DNA barcode candidates for taxonomic analysis and species delimitation.     

RNAi转基因作物安全评价研究进展

在秀丽隐杆线虫中首次发现双链RNA(dsRNA)能特异性地导致基因沉默(RNAi)现象后,人们开始大量地研究RNAi技术,并将其应用于功能基因的研究,来提高作物的抗性和改良遗传育种等。本文详细介绍了RNAi的技术原理,并且对RNAi技术与传统转基因技术的区别进行分析,阐述了该技术具有重要的生物学意义,以及在农作物害虫防治领域的占据独特优势。基于RNAi技术存在的潜在脱靶效应,从改良植物、靶标生物和生态环境的3个方面具体分析该技术可能存在的风险,为RNAi技术的风险评估提供参考。由于RNAi技术仍存在风险,为了维护生态多样性和保障人们的人身安全,应尽快建立起符合实际需求的安全性评价方法,本文针对RNAi转基因作物的环境安全和食用安全2个方面的评估方案进行概述。RNAi技术对减少害虫数量、提高水稻产量、降低种植成本以及减少化学农药污染、促进农业可持续发展来说具有重要意义,但该技术仍存在风险,需要进一步监管和研究,建立完善的生态评价系统,让RNAi技术在农业生产上发挥作用。     

Modeling Patient-Derived Glioblastoma with Cerebral Organoids

1. Download high-res image (273KB)
2. Download full-size image

     

Gain-of-Function Mutations of SLC16A11 Contribute to the Pathogenesis of Type 2 Diabetes

1. Download high-res image (134KB)
2. Download full-size image

     

Genome-wide CRISPR activation screen identifies candidate receptors for SARS-CoV-2 entry

Science China Life Sciences - The outbreak of coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 has created a global health crisis. SARS-CoV-2 infects varieties of tissues where the known...     

Fruit and vegetable consumption,cardiovascular disease,and all-cause mortality in China

Science China Life Sciences - Evidence about the response patterns of fruit and vegetable consumption with the risk of cardiovascular disease (CVD) and all-cause mortality was inconsistent. These...     

Biocontrol: Endophytic bacteria could be crucial to fight soft rot disease in the rare medicinal herb,Anoectochilus roxburghii

Microbial destabilization induced by pathogen infection has severely affected plant quality and output, such as Anoectochilus roxburghii, an economically important herb. Soft rot is the main disease that occurs during A. roxburghii culturing. However, the key members of pathogens and their interplay with non-detrimental microorganisms in diseased plants remain largely unsolved. Here, by utilizing a molecular ecological network approach, the interactions within bacterial communities in endophytic compartments and the surrounding soils during soft rot infection were investigated. Significant differences in bacterial diversity and community composition between healthy and diseased plants were observed, indicating that the endophytic communities were strongly influenced by pathogen invasion. Endophytic stem communities of the diseased plants were primarily derived from roots and the root endophytes were largely derived from rhizosphere soils, which depicts a possible pathogen migration image from soils to roots and finally the stems. Furthermore, interactions among microbial members indicated that pathogen invasion might be aided by positively correlated native microbial members, such as Enterobacter and Microbacterium, who may assist in colonization and multiplication through a mutualistic relationship in roots during the pathogen infection process. Our findings will help open new avenues for developing more accurate strategies for biological control of A. roxburghii bacterial soft rot disease.