Changes in erythrocyte membrane lipid composition affect the transient decrease in membrane order which accompanies insulin receptor down-regulation

We have recently demonstrated, using electron paramagnetic resonance (EPR) spectroscopy, that insulin receptor internalization in response to insulin incubation (down-regulation) in human erythrocytes is accompanied by a transient decrease in membrane order, as measured by the 2T order parameter. Since membrane lipids play such an important role in receptor internalization, we investigated the possible effects that an alteration of the normally-occurring lipid profile might have on down-regulation and the concomitant transient decrease in membrane order. Consequently, human erythrocytes enriched with cholesterol and erythrocytes from cirrhotic patients were examined, because both of these groups of cells have a higher cholesterol/phospholipid molar ratio (CH/PL) than controls. The 5-nitroxystearate spin label, which inserts into the lipid bilayer of cell membranes, was used to monitor changes in 2T for a 3-h period at 37°C. We report here that both cholesterol-enriched and cirrhotic erythrocytes do not down-regulate, as demonstrated by binding assays, and that they do not show the typical transient decrease in membrane order observed in controls. The results seem to indicate that a more ordered membrane inhibits internalization of the insulin receptor in erythrocytes, and that an increase in membrane disorder is necessary for insulin receptor down-regulation.     

Internalization of polypeptide hormones and receptor recycling

Conclusion The insulin receptor is an integral protein of the plasma membrane of the cell. It is composed of two subunits: an subunit, which binds the hormone, and a subunit which is a tyrosine specific protein kinase capable of undergoing autophosphorylation. These independent subunits are synthesized by way of a higher molecular weight single chain precursor and thus are the product of a single gene^{29, 49, 85} localized to chromosome 19^{29, 91}. Assuming that the insulin receptor is synthesized in the same fashion as other integral membrane glycoproteins, then the nucleus, the rough endoplasmic reticulum, and the Golgi apparatus are involved in its biosynthesis. Further, there must be some form of transport of the mature receptor subunits to the plasma membrane where they are inserted.By contrast, the endocytotic route involves coated pits, coated vesicles, large clear vesicles or endosomes, multivesicular bodies and other lysosomal forms. In addition, it is possible that some other as yet unidentified organelle is involved in recycling (fig. 8). At the present time, with respect to the insulin receptor, the biosynthetic pathway and the endocytotic pathway appear to be separate. Further, it does not appear that either pathway, i. e. synthesis or endocytosis, exerts a regulatory function over the other.     

联合实体边界检测的命名实体识别方法

针对传统命名实体识别方法无法有效利用实体边界信息的问题,提出一种联合实体边界检测的命名实体识别方法,即将实体边界检测作为辅助任务,增强模型对实体边界的判断能力,进而提升模型对实体的识别效果。首先,利用Bert预训练语言模型对原始文本进行特征嵌入获取词向量,并引入自注意力机制增强词对上下文信息的利用;其次,在命名实体识别任务的基础上,添加实体边界检测辅助任务,增强模型对实体边界的识别能力;再次,对比联合实体边界检测的命名实体识别方法与基线方法的有效性,并对测试结果进行消融实验;最后,进行样例分析,分析损失权重β对实体边界检测的影响。实验结果表明,在英文社交媒体数据集Twitter-2015上,联合实体边界检测的命名实体识别方法相较于基线模型取得了更高的精准率、召回率和F1值,其中F1值达到了73.57%;并且,边界检测辅助任务提升了基线方法的检测效果。所提方法能有效利用实体边界信息,从而获得更好的实体识别效果,促进了人机交互系统的发展,对自然语言处理下游任务有重要意义。     

数据驱动下交通异常行为的双层识别模型

为实现对车辆异常行为的准确识别,提高车辆行驶的安全性,提出了一种基于支持向量机(support vector machine, SVM)、监督学习与长短期记忆(long short term memory, LSTM)深度学习的交通异常驾驶行为双层识别模型。首先,对车辆轨迹数据筛除和滤波,构建异常行为数据集;其次,从异常行为轨迹特征中提取出特定异常行为的特征标签,并人为标定在训练集中;再次,构建SVM模型对训练集进行粗识别,基于SVM的二分法原理,从测试集中筛选出异常行为;最后,通过LSTM时间序列模型构建具体种类的异常行为模型,并通过深度学习的方法,从异常行为数据中细分为蛇形驾驶、急速变向、侧滑、大半径转弯、快速U型转弯、急刹车等具体的异常驾驶行为。本次实验选用下一代仿真(next generation simulation, NGSIM)数据中US-101高速公路和peachtree城市道路的数据集的轨迹数据验证SVM和LSTM双层识别模型的性能,包括均方根误差、识别准确率等。结果表明,构建的双层识别模型在第一层有98%的识别准确率,第二层有超过80%的识别准确率,可以较为准确地识...     

利用早停可微架构搜索的三维点云模型分类

针对现有三维点云分类网络采用人工设计费时费力的问题,提出早停可微架构搜索(early-stopping differentiable architecture search,ES-DARTS)算法。利用从人工设计网络架构中提取到的先验知识,预定义一个包含高效候选操作的搜索空间,可快速搜索出适用于三维模型分类任务的高性能网络模型;通过追踪网络搜索阶段各候选操作的权重变化,找出跳跃连接操作在双重优化过程中发挥不公平竞争作用的临界点并在此处停止搜索,以保证各候选操作之间的稳定性,解决DARTS算法搜索过程中易出现性能崩溃的问题。提出的算法在ModelNet40数据集上达到了93.2%的识别准确率,比当前人工设计的主流网络具有更高的识别准确率。     

Pharmacological versus binding analysis of receptor systems: How do they interplay? Myometrial cell receptors for oxytocin as a paradigm

Summary Binding studies in various biological systems frequently indicate the presence of several binding sites for a biologically active ligand. They differ in their affinity for the ligand in question, binding capacity, and Hill coefficient, which suggests differences in the mechanisms of the binding site-ligand interactions. Identification of the true receptors (sites initiating a cellular response) appears to be difficult. Three clusters of binding sites for oxytocin were found on rat myometrial cells. The oxytocin receptor seems to be linked to the medium-affinity site; the cooperation between the high-and medium-affinity sites in eliciting the uterotonic response seems likely, but lacks experimental proof. Dose-response analysis in partially irreversibly inhibited uterus preparations, the method of equipotent doses (Furchgott-Bursztyn method), and structure-activity analysis of oxytocin-like peptides acting as competitive inhibitors of oxytocin, turned out to be suitable for pharmacological analysis of this receptor system.     

Fibronectin peptide DRVPHSRNSIT and fibronectin receptor peptide DLYYLMDL arrest gastrulation ofRana pipiens

Gastrulation is characterized by dramatic cell migration which is thought to require the interaction of cell adhesion molecules with extracellular molecules. We have tested two novel peptides, a fibronectin peptide and a fibronectin receptor peptide, for their effects on gastrulation of the leopard frogRana pipiens. The fibronectin peptide DRVPHSRNSIT corresponds to residues 1373–1383 of the cell-binding domain of fibronectin; the receptor peptide DLYYLMDL corresponds to residues 124–131 of 1 subunit of a variety of integrins including 51. Either of these peptides significantly inhibited gastrulation after being microinjected into mid-blastulae. These results indicate that these sequences may correspond to the ligand/receptor interaction sites of fibronectin and its receptor(s).     

基于逻辑相似性的运动检索算法

针对基于内容的人体运动检索问题,提出了一种基于逻辑相似性的运动数据检索方法。首先,针对特定人体运动序列数据,使用自组织网络映射算法对运动数据进行预处理,找出运动数据帧的最佳匹配单元。然后,应用数据编码规则对匹配单元进行量化及编码处理,获得基于符号化表示的运动描述符。基于符号化表示的描述符建立运动序列索引机制,应用多分辨率框架进行运动模式匹配。最后,按照模式匹配结果进行运动相似性排序,输出检索结果。在CMU运动数据库中的试验结果表明了算法有效性。     

苯甲酰类化合物构效关系的模式识别研究

用ＣＮＤＯ／２量化方法计算了３５个苯甲酰类化合物的量化指数,并应用模式识别方法研究了该类化合物的结构对治疗患Ｌ１２１０肿瘤小鼠药效的影响,得到满意的分类图。结果表明化合物的抗癌活性的主要影响因素为ＣＱＳ、ＥＬＵＭＯ、ＥＳＨＥＰ和π,药物的抗癌活性主要是通过抑制核苷酸还原酶所致,而且化合物在体内到达受体的过程和难易程度对药效的影响较大。     

基于小波分析的被动声纳信号宽带噪声包络调制分析

采用小波分析理论建立了一种新的被动声纳信号宽带噪声包络调制分析算法。通过被动声纳的海上实际信号的分析实验,取得了良好的检测效果且可以节省计算时间,具有很好的应用前景。