中国遥感干旱指数时空特征及其对气候和地表覆盖变化的响应

干旱严重影响植被生长,威胁粮食安全,基于遥感计算的植被状态指数（Vegetation Condition Index,VCI）、温度状态指数（Temperature Condition Index,TCI）和植被健康指数（Vegetation Health Index,VHI）是常用的干旱指数,被广泛应用于干旱监测。为了探究近年来我国干旱特征及其对气候和地表覆盖变化的响应,分析了2003-2016年期间VCI、TCI和VHI的时空变化特征;采用最小二乘（OLS）和偏相关分析方法分析了这些指数对气候和地表覆盖变化的响应。基于上述干旱指数计算的干旱频率表明,中温带中部和南温带等地区干旱发生频率高,干旱指数变化趋势表明在2003-2016年期间中国大部分地区干旱缓解,但在中温带、南温带和高原气候区等局部地区干旱加剧;总体而言,干旱指数随着年平均温度的上升和年降水量的降低而减小,VHI与温度和降水量的相关性在不同气候区的一致性优于VCI和TCI;裸土的减少和植被的增加导致干旱指数增大,树木转变为低矮植被干旱指数降低。     

一种基于流式细胞术的牛多细胞因子检测方法

本研究旨在建立一种基于流式细胞术的牛多细胞因子检测方法。对前期制备并筛选出的针对牛细胞因子IFN-γ、IL-2、TNF-α、IP-10和MCP-1的单克隆抗体进行荧光标记,与细胞表面分子抗体组合搭配,进行牛多细胞因子流式检测方法的建立和优化。随后利用建立的方法进行BCG体外感染牛外周血单个核细胞的细胞因子表达规律测定,并结合CFP10-ESAT6蛋白刺激剂评价上述细胞因子作为牛结核诊断标识的潜力。建立的牛多细胞因子流式检测方法可以有效测定BCG感染牛外周血T淋巴细胞的细胞因子表达,其中IFN-γ、IL-2、TNF-α在感染40h后持续上升,而IP-10和MCP-1表达水平呈现下降趋势;对于牛外周血CD4⁺T淋巴细胞IFN-γ、IL-2、TNF-α的联合检测能有效区分牛结核阳性和阴性样品。这一方法为牛病原菌感染、疫苗注射后细胞免疫应答水平评价以及疫病诊断提供了重要技术手段。     

法尼醇X受体激动剂细胞筛选体系的建立与优化

本研究旨在建立一种基于双荧光素酶报告基因检测体系的法尼醇X受体(farnesoid X receptor, FXR)激动剂细胞筛选体系,以满足对FXR激动剂先导化合物的高通量筛选。通过在报告基因质粒pGL4-luc2P-Hygro中的萤火虫荧光素酶(firefly luciferase,Luc)基因上游克隆并插入来自FXR靶基因的FXR反应元件(FXR response element,FXRE)片段,构建用于筛选FXR激动剂的报告基因质粒,并结合海肾荧光素酶内参质粒,建立能够有效反映药物对FXR激动效应的双荧光素酶报告基因细胞检测体系。通过一系列优化实验,比较了过表达RXR、鼠源和人源FXR、不同的FXRE片段、FXR过表达质粒与报告基因质粒的混合比对筛选体系诱导效率和灵敏度的影响。根据上述结果,最终确定了优化条件,优化后体系Z因子达到0.83。本研究建立了一种用于FXR激动剂筛选的改良的基于双荧光素酶报告基因检测体系的细胞筛选体系,其主要特征在于,使用多段FXR靶基因上的FXRE片段叠加组成一种新型的增强型FXRE元件,而非传统的反向重复序列-1 (inverted repeats...     

Response regulation in bacterial chemotaxis

The signal transduction system that mediates bacterial chemotaxis allows cells to moduate their swimming behavior in response to fluctuations in chemical stimuli. Receptors at the cell surface receive information from the surroundings. Signals are then passed from the receptors to cytoplasmic chemotaxis components: CheA, CheW, CheZ, CheR, and CheB. These proteins function to regulate the level of phosphorylation of a response regulator designated CheY that interacts with the flagellar motor switch complex to control swimming behavior. The structure of CheY has been determined. Magnesium ion is essential for activity. The active site contains highly conserved Asp residues that are required for divalent metal ion binding and CheY phosphorylation. Another residue-at the active site, Lys109, is important in the phosphorylation-induced conformational change that facilitates communication with the switch complex and another chemotaxis component, CheZ. CheZ facilitates the dephosphorylation of phospho-CheY. Defects in CheY and CheZ can be suppressed by mutations in the flagellar switch complex. CheZ is thought to modulate the switch bias by varying the level of phospho-CheY. © 1993 Wiley-Liss, Inc.     

Associating somatic mutation with clinical outcomes through kernel regression and optimal transport

Somatic mutations in cancer patients are inherently sparse and potentially high dimensional. Cancer patients may share the same set of deregulated biological processes perturbed by different sets of somatically mutated genes. Therefore, when assessing the associations between somatic mutations and clinical outcomes, gene-by-gene analysis is often under-powered because it does not capture the complex disease mechanisms shared across cancer patients. Rather than testing genes one by one, an intuitive approach is to aggregate somatic mutation data of multiple genes to assess their joint association with clinical outcomes. The challenge is how to aggregate such information. Building on the optimal transport method, we propose a principled approach to estimate the similarity of somatic mutation profiles of multiple genes between tumor samples, while accounting for gene–gene similarities defined by gene annotations or empirical mutational patterns. Using such similarities, we can assess the associations between somatic mutations and clinical outcomes by kernel regression. We have applied our method to analyze somatic mutation data of 17 cancer types and identified at least five cancer types, where somatic mutations are associated with overall survival, progression-free interval, or cytolytic activity.     

Functional data analysis with covariate-dependent mean and covariance structures

Functional data analysis has emerged as a powerful tool in response to the ever-increasing resources and efforts devoted to collecting information about response curves or anything that varies over a continuum. However, limited progress has been made with regard to linking the covariance structures of response curves to external covariates, as most functional models assume a common covariance structure. We propose a new functional regression model with covariate-dependent mean and covariance structures. Particularly, by allowing variances of random scores to be covariate-dependent, we identify eigenfunctions for each individual from the set of eigenfunctions that govern the variation patterns across all individuals, resulting in high interpretability and prediction power. We further propose a new penalized quasi-likelihood procedure that combines regularization and B-spline smoothing for model selection and estimation and establish the convergence rate and asymptotic normality of the proposed estimators. The utility of the developed method is demonstrated via simulations, as well as an analysis of the Avon Longitudinal Study of Parents and Children concerning parental effects on the growth curves of their offspring, which yields biologically interesting results.     

Modeling an immune response to influenza A virus infection in alveolar epithelial cells

Influenza A viruses (IAV) have been the cause of several influenza pandemics in history and are a significant threat for the next global pandemic. Hospitalized influenza patients often have excess interferon production and a dysregulated immune response to the IAV infection. Obtaining a better understanding of the mechanisms of IAV infection that induce these harmful effects would help drug developers and health professionals create more effective treatments for IAV infection and improve patient outcomes. IAV stimulates viral sensors and receptors expressed by alveolar epithelial cells, like RIG-I and toll-like receptor 3 (TLR3). These two pathways coordinate with one another to induce expression of type III interferons to combat the infection. Presented here is a queuing theory-based model of these pathways that was designed to analyze the timing and amount of interferons produced in response to IAV single stranded RNA and double-stranded RNA detection. The model accurately represents biological data showing the necessary coordination of the RIG-I and TLR3 pathways for effective interferon production. This model can serve as the framework for future studies of IAV infection and identify new targets for potential treatments.     

三株植物促生木霉的固体发酵工艺优化

【背景】木霉是广泛分布于自然界中的一类真菌,能产生多种酶类和次生代谢产物,具有促进植物生长、提高土壤肥力、拮抗多种土传病原菌等作用。【目的】优化3株植物根际促生真菌(长枝木霉MD30、桔绿木霉JS84及贵州木霉NJAU4742)的固体发酵条件,探究不同发酵条件对木霉产孢量的影响,为木霉菌的生产提供参考。【方法】采用单因素试验和响应面法,对3种木霉在不同发酵条件下的产孢量进行测定并优化,分析了氮源添加、初始pH、物料厚度、接种量、温度等因子对固体发酵的影响。【结果】单因素试验表明,长枝木霉MD30、桔绿木霉JS84与贵州木霉NJAU4742固体发酵时,最佳发酵温度均为28℃、最优木霉菌液接种量均为10%、物料发酵厚度均为3.0 cm,但最佳的初始物料pH与氨基酸水解液添加量有所不同,其中,长枝木霉MD30与贵州木霉NJAU4742发酵最佳的初始pH值为5.0,而桔绿木霉JS84为3.0;长枝木霉MD30与贵州木霉NJAU4742发酵最佳的氨基酸水解液添加量为10%,而桔绿木霉JS84为5%。通过试验分析,确定初始pH、物料厚度、温度为影响产孢量的3个重要因素。响应面分析得到最佳发酵条件：...     

非洲猪瘟病毒I226R蛋白抑制cGAS-STING通路介导的天然免疫应答

本研究旨在探究非洲猪瘟病毒(African swine fever virus, ASFV) I226R蛋白(I226R protein, pI226R)抑制cGAS-STING信号通路的作用机制。利用双荧光素酶报告系统和实时荧光定量PCR (real-time quantitative PCR, qPCR)证明pI226R显著抑制cGAS-STING通路介导的I型干扰素及干扰素刺激相关基因的产生。免疫共沉淀及激光共聚焦显微镜试验发现pI226R与cGAS蛋白相互作用。免疫印迹分析证明pI226R通过自噬-溶酶体途径促进cGAS蛋白的降解。同时,pI226R阻碍了cGAS与E3泛素连接酶三基序蛋白56 (tripartite motif protein 56, TRIM56)的结合,导致cGAS的单泛素化减弱,从而抑制了cGAS的活化和cGAS-STING通路的激活。总之,本研究证明ASFV pI226R通过拮抗cGAS进而抑制宿主的抗病毒天然免疫反应,进一步增加了对研究ASFV免疫逃逸机制的理解,为疫苗的研发提供了理论基础。