Membrane lipids are both the substrates and a mechanistically responsive environment of TMEM16 scramblase proteins

Recent discoveries about functional mechanisms of proteins in the TMEM16 family of phospholipid scramblases have illuminated the dual role of the membrane as both the substrate and a mechanistically responsive environment in the wide range of physiological processes and genetic disorders in which they are implicated. This is highlighted in the review of recent findings from our collaborative investigations of molecular mechanisms of TMEM16 scramblases that emerged from iterative functional, structural, and computational experimentation. In the context of this review, we present new MD simulations and trajectory analyses motivated by the fact that new structural information about the TMEM16 scramblases is emerging from cryo-EM determinations in lipid nanodiscs. Because the functional environment of these proteins in in vivo and in in vitro is closer to flat membranes, we studied comparatively the responses of the membrane to the TMEM16 proteins in flat membranes and nanodiscs. We find that bilayer shapes in the nanodiscs are very different from those observed in the flat membrane systems, but the function-related slanting of the membrane observed at the nhTMEM16 boundary with the protein is similar in the nanodiscs and in the flat bilayers. This changes, however, in the bilayer composed of longer-tail lipids, which is thicker near the phospholipid translocation pathway, which may reflect an enhanced tendency of the long tails to penetrate the pathway and create, as shown previously, a nonconductive environment. These findings support the correspondence between the mechanistic involvement of the lipid environment in the flat membranes, and the nanodiscs. © 2019 Wiley Periodicals, Inc.     

选矿产品矿物自动分析的光片制备

基于扫描电子显微镜的矿物自动分析仪(Quantitative Evaluation of Minerals by Scanning Electronic Microscopy)、MLA(Mineral Liberation Analyser)和AMICS(Advanced Mineral Identification and Characterization System)可用于测定选矿产品中目的矿物的粒度和单体解离度,为确定合理的磨矿细度以及优化选矿工艺流程提供依据。环氧树脂光片的制备是矿物自动识别和测量的最关键的一环,其代表性直接关系到后续数据测量的准确性和真实性。对于金属矿产品来说,由于选矿产品中矿物颗粒粗细不均、密度差异较大,在环氧树脂胶结固化过程中矿物颗粒会产生明显的分异作用并互相黏连,造成分析结果失真。实验证明,把样品与晶质石墨混均,然后加入环氧树脂以及固化剂搅拌混合倒入圆柱状模具进行冷镶嵌,待样品固化后再沿圆柱体的纵向进行切割,并对其切割面进行粗磨、细磨、精磨以及抛光,就可以制备出样品分散性好、分布均匀、表面光滑平整的具有代表性的环氧树脂光片。     

Identifying critical states of hepatocellular carcinoma based on landscape dynamic network biomarkers

Hepatocellular carcinoma (HCC) is the major histological form of primary liver cancer. It has usually reached the disease state once the patient is diagnosed since there are no specific symptoms in the early stages of HCC. This fact increases the difficulty of curing HCC. Recently, quantities of evidence have shown that many mathematical methods (such as dynamic network biomarkers, DNB) can be used to detect critical states or tipping points of complex diseases. However, it is difficult to apply the DNB theory to the clinic since multiple samples are generally unavailable for individual patient. This paper constructs a novel method based on landscape dynamic network biomarkers (L-DNB), which aims to detect early warning signals from cirrhosis state to very advanced HCC state in individual patient. The selected dataset contains multiple samples for each HCC state. A score that indicates the disease characteristics is calculated for each sample by RNA-seq data, and several scores constitute a distribution in the same state. Quantifying the statistical characteristics of these distributions and determining that low-grade dysplastic and high-grade dysplastic are the critical states of HCC. These results can provide scientific advice for early warning indicators and optimal treatment time for HCC.     

浅析波谱分析课程教学改革

根据在波谱分析课程教学中遇到的一些实际问题,本文探讨了便于波谱分析课程教学的几种方法,并收到了较好的教学效果.     

上机房营子遗址出土陶器的XRF分析研究

利用X射线荧光对上机房营子遗址出土陶器残片的成分进行分析,用社会科学用统计软件包(SPSS)对实验数据进行多元统计分析.结果表明,不同文化期的样品基本自成一类.本文还将上机房营子遗址与三座店遗址的出土陶片进行比较分析,发现夏家店下层文化晚期两地可能存在着文化交流.     

基于人工神经网络的肉类光谱识别

利用自组的光纤探头式光谱仪对载体肉类表面进行光谱测量,采用反向传播人工神经网络(BP-ANN)对肉类可见光谱进行识别,分析了隐层神经元、期望误差、判别输出范围等网络参数的调整对识别功能的影响.基于大量实测数据样本,优化网络结构参数选择,建立了良好的人工神经网络,对肉类光谱识别率达到97.5%.     

HL-2M初始等离子体放电阶段的辉光放电清洗系统电极的设计与分析

针对HL-2M装置初始等离子体放电阶段所需的直流辉光放电清洗系统的电极进行了设计.对辉光放电清洗系统在不同工况下的系统负载进行了分析和拟定,并确定了电极结构设计分析标准.根据系统电极的结构特点并结合系统负载规范与分析标准,依据不同的失效模式对电极进行了失效分析.分析结果表明,此针对初始等离子体放电的电极设计能可靠安全运...     

企业如何策划统计技术的应用

本文简单介绍统计技术,主要阐述企业如何策划统计技术的应用．以发挥统计技术在质量管理中的重要作用。     

高速印制电路板设计中的串扰问题和抑制

本文剖析了在高速PCB板级设计中信号完整性分析领域信号串扰的产生机制,并利用HyperLynx软件包仿真,结合工作中的实践,提出了相应的解决方案.     

PCB孔铜断裂失效分析探讨

针对PCB在SMT后出现的通孔开路问题,本文结合孔铜断裂失效案例,通过CT、金相切片、SEM及热分析等分析手段来进行论证,分析PCB孔铜断裂的失效机理,并给出了预防控制建议.