Functional characterization of ecto-5'-nucleotidase-positive and -negative human T lymphocytes

Functional studies were performed on human peripheral blood T lymphocytes stained with goat anti-5'-nucleotidase antibodies and separated into ecto-5'-nucleotidase (ecto-5'-NT)-positive and -negative populations using the FACSTAR fluorescence-activated cell sorter. On the average, ecto-5'-NT+ T cells contained 34 +/- 13% CD4+ and 55 +/- 15% CD8+ cells, whereas ecto-5'-NT-T cells contained 65 +/- 12% CD4+ and 23 +/- 8% CD8+ cells. Staining with anti-5'-NT antibodies did not significantly alter the ability of unseparated T cells to proliferate in response to PHA or PMA, or in a MLR. However, prior incubation with anti-5'-NT antibodies did inhibit the ability of irradiated T cells to provide help for PWM-stimulated Ig synthesis by as much as 55%. In five separate experiments, ecto-5'-NT-T cells demonstrated an equal or better ability to incorporate [3H]TdR after PHA stimulation or in a MLR, as compared with ecto-5'-NT+ T cells. Similarly, ecto-5'-NT- T cells were not diminished in their ability to provide help for autologous B cells in a PWM-driven system. Clearly, the inability of ecto-5'-NT- T cells from patients with a variety of immunodeficiency diseases to function in these assays cannot be explained solely by their lack of ecto-5'-NT activity. In contrast, ecto-5'-NT-positive and -negative T cells showed markedly different dose-response curves for proliferation in response to PMA. Ecto-5'-NT+ T cells responded to lower doses of PMA (1.0 ng/ml) than did ecto-5'-NT- T cells and showed a two- to eight-fold greater rate of [3H]TdR incorporation at 3 to 10 ng of PMA per ml. Ecto-5'-NT+ T cells may have a protein kinase C that is more accessible or more easily activated or may utilize an alternate pathway of activation when stimulated with low concentrations of PMA.     

Comparative Genome Map of Human and Cattle

Chromosomal homologies between individual human chromosomes and the bovine karyotype have been established by using a new approach termed Zoo-FISH. Labeled DNA libraries from flow-sorted human chromosomes were used as probes for fluorescence in situ hybridization on cattle chromosomes. All human DNA libraries, except the Y chromosome library, hybridized to one or more cattle chromosomes, identifying and delineating 50 segments of homology, most of them corresponding to the regions of homology as identified by the previous mapping of individual conserved loci. However, Zoo-FISH refines the comparative maps constructed by molecular gene mapping of individual loci by providing information on the boundaries of conserved regions in the absence of obvious cytogenetic homologies of human and bovine chromosomes. It allows study of karyotypic evolution and opens new avenues for genomic analysis by facilitating the extrapolation of results from the human genome initiative.     

黄土高原典型退耕区生态系统服务权衡与协同关系研究——以延安市为例

在退耕还林的背景下,从多尺度分析黄土高原生态系统服务的时空变化及权衡协同关系对促进该区经济发展和生态效益多赢具有重要意义。以黄土高原退耕还林典型区延安市为例,运用InVEST模型评估1988-2018年农作物生产、碳储量、生境质量、土壤保持、产水量5种关键生态系统服务物质量,采用偏相关分析法探讨生态系统服务间的权衡与协同关系及其时空变化特征。研究结果表明：（1）受土地利用变化影响,延安市农作物生产水平、土壤保持年际变化趋势波动较大,农作物生产水平呈波动增加的趋势,土壤保持退耕还林前呈减少,退耕还林后呈波动增加的趋势,碳储量和生境质量呈逐渐增加的趋势,产水量呈逐渐减弱的趋势。（2）生态系统服务与土地利用格局联系紧密。碳储量、生境质量的高值区域以及产水量的低值区域随林地分布格局变化而变化。（3）协同关系是延安市生态系统服务间相关关系的主体,主要发生在碳储量、生境质量、土壤保持、农作物生产之间,权衡关系主要存在于产水量和其他生态系统服务之间。（4）市、县域生态系统服务间关系的差异主要发生在生境质量和土壤保持之间。     

陕西食源性沙门氏菌耐药及相关基因

【目的】研究食源性沙门氏菌对常用抗生素的药敏性及相关耐药基因,更好的了解耐药性的产生和传播途径,确保食品安全。【方法】使用the Clinical and Laboratory Standards Institute推荐的琼脂稀释法测定沙门氏菌的药敏性,PCR和基因序列测定方法确定耐药沙门氏菌中整合子及其携带的耐药基因、与头孢菌素抗性相关的基因、沙门氏菌基因岛及与氟喹诺酮类抗生素耐药相关的基因突变。【结果】359株沙门氏菌中,67%的菌株对磺胺甲恶唑产生抗性,对甲氧苄啶/磺胺甲恶唑、四环素、卡那霉素、萘啶酮酸、氨苄西林、阿莫西林/克拉维酸、链霉素、氯霉素和庆大霉素、环丙沙星、头孢曲松、头孢西丁和头孢哌酮的耐药率分别为58%、56%、37%、35%、33%、32%、29%、26%、21%、16%、9%和8%。284株耐药菌中,79%的菌株可抗至少1种抗生素,25.9%可抗10种以上抗生素,2.5%可抗14种抗生素。耐药的Ⅰ类整合子以1.4kb最为常见,携带的耐药基因有aadA1、aadA2、aadA5、tetR、blaPSE-1、blaDHA-1、blaVEB-1、dhfrⅠ、dhfrⅤ、dhfrⅦ和dhfr17等。62株耐头孢曲松和/或头孢哌酮的沙门氏菌中,blaTEM和blaCMY-2基因的检出率分别为51.6%和56.5%。13.6%的沙门氏菌中检出了沙门氏菌基因岛。35株耐氟喹诺酮类抗生素的沙门氏菌的gyrA、parC和parE基因中共检出68个点突变,gyrA基因中常见突变为Ser83Phe、Ser83Tyr、Asp87Gly和Asp87Asn,parC基因中为Ser80Arg。parE基因中检出了Lys441Ile、Lys428Gln、Asp494Asn、Lys428Gln和Gly442Ser突变,这些点突变均为首次在食源性沙门氏菌中检出。【结论】陕西食源性沙门氏菌耐药状况严重,整合子、沙门氏菌基因岛和β-内酰胺酶编码基因的存在及解旋酶和拓扑异构酶基因突变是导致沙门氏菌耐药的重要机制。     

鸡肉源沙门氏菌对喹诺酮和氟喹诺酮类抗生素耐药状况及相关基因

【目的】研究分离于陕西、河南、四川和北京四省(市)鸡肉源沙门氏菌对喹诺酮和部分氟喹诺酮类抗生素的药敏性及相关耐药基因,更好地了解耐药性的产生和传播途径,确保食品安全。【方法】用琼脂稀释法测定沙门氏菌的药敏性,用PCR和基因序列测定法确定耐药沙门氏菌中与(氟)喹诺酮类抗生素耐药相关的喹诺酮类抗性决定区基因突变及质粒携带的耐药基因。【结果】390株沙门氏菌中,63.59%的菌株对萘啶酮酸产生抗性,21.28%、16.67%和14.62%的菌株分别对环丙沙星、左氧氟沙星和加替沙星产生抗性。248株萘啶酮酸抗性菌中,aac(6’)-Ib-cr、qnrA、qnrB和qnrS基因的检出率分别为20.16%、10.89%、10.08%和1.61%。83株耐环丙沙星的菌株中,gyrA和parC基因的点突变共199个;其中gyrA基因中以Ser83Phe和Asp87Gly双突变最为常见,其次分别为Ser83Phe和Asp87Asn双突变、Ser83Tyr、Ser83Phe、Asp87Gly;parC基因的65个点突变均为Ser80Arg突变。【结论】四省市中鸡肉源沙门氏菌耐药状况严重,其解旋酶和拓扑异构酶基因突变及质粒携带的耐药基因是导致沙门氏菌耐药的重要机制。     

Key Elements in a Framework for Land Use Impact Assessment Within LCA (11 pp)

Background, Aim and Scope Land use by agriculture, forestry, mining, house-building or industry leads to substantial impacts, particularly on biodiversity and on soil quality as a supplier of life support functions. Unfortunately there is no widely accepted assessment method so far for land use impacts. This paper presents an attempt, within the UNEP-SETAC Life Cycle Initiative, to provide a framework for the Life Cycle Impact Assessment (LCIA) of land use. Materials and Methods: This framework builds from previous documents, particularly the SETAC book on LCIA (Lindeijer et al. 2002), developing essential issues such as the reference for occupation impacts; the impact pathways to be included in the analysis; the units of measure in the impact mechanism (land use interventions to impacts); the ways to deal with impacts in the future; and bio-geographical differentiation. Results: The paper describes the selected impact pathways, linking the land use elementary flows (occupation; transformation) and parameters (intensity) registered in the inventory (LCI) to the midpoint impact indicators and to the relevant damage categories (natural environment and natural resources). An impact occurs when the land properties are modified (transformation) and also when the current man-made properties are maintained (occupation). Discussion: The size of impact is the difference between the effect on land quality from the studied case of land use and a suitable reference land use on the same area (dynamic reference situation). The impact depends not only on the type of land use (including coverage and intensity) but is also heavily influenced by the bio-geographical conditions of the area. The time lag between the land use intervention and the impact may be large; thus land use impacts should be calculated over a reasonable time period after the actual land use finishes, at least until a new steady state in land quality is reached. Conclusions: Guidance is provided on the definition of the dynamic reference situation and on methods and time frame to assess the impacts occurring after the actual land use. Including the occupation impacts acknowledges that humans are not the sole users of land. Recommendations and Perspectives: The main damages affected by land use that should be considered by any method to assess land use impacts in LCIA are: biodiversity (existence value); biotic production potential (including soil fertility and use value of biodiversity); ecological soil quality (including life support functions of soil other than biotic production potential). Bio-geographical differentiation is required for land use impacts, because the same intervention may have different consequences depending on the sensitivity and inherent land quality of the environment where it occurs. For the moment, an indication of how such task could be done and likely bio-geographical parameters to be considered are suggested. The recommendation of indicators for the suggested impact categories is a matter of future research.     

Advances in quantitative proteomics via stable isotope tagging and mass spectrometry

The high-throughput identification and accurate quantification of proteins are essential components of proteomic strategies for studying cellular functions and processes. Techniques that are largely based on stable isotope protein or peptide labeling and automated tandem mass spectrometry are increasingly being applied in quantitative proteomic studies. Over the past year, significant progress has been made toward improving and diversifying these technologies with respect to the methods for stable isotope labeling, process automation and data processing and analysis. Advances in stable isotope protein labeling and recent biological studies that used stable isotope based quantitative proteomics techniques are reviewed.     

A high-confidence human plasma proteome reference set with estimated concentrations in PeptideAtlas

Human blood plasma can be obtained relatively noninvasively and contains proteins from most, if not all, tissues of the body. Therefore, an extensive, quantitative catalog of plasma proteins is an important starting point for the discovery of disease biomarkers. In 2005, we showed that different proteomics measurements using different sample preparation and analysis techniques identify significantly different sets of proteins, and that a comprehensive plasma proteome can be compiled only by combining data from many different experiments. Applying advanced computational methods developed for the analysis and integration of very large and diverse data sets generated by tandem MS measurements of tryptic peptides, we have now compiled a high-confidence human plasma proteome reference set with well over twice the identified proteins of previous high-confidence sets. It includes a hierarchy of protein identifications at different levels of redundancy following a clearly defined scheme, which we propose as a standard that can be applied to any proteomics data set to facilitate cross-proteome analyses. Further, to aid in development of blood-based diagnostics using techniques such as selected reaction monitoring, we provide a rough estimate of protein concentrations using spectral counting. We identified 20,433 distinct peptides, from which we inferred a highly nonredundant set of 1929 protein sequences at a false discovery rate of 1%. We have made this resource available via PeptideAtlas, a large, multiorganism, publicly accessible compendium of peptides identified in tandem MS experiments conducted by laboratories around the world.