Green Fluorescent Protein-based Expression Screening of Membrane Proteins in Escherichia coli

The production of recombinant membrane proteins for structural and functional studies remains technically challenging due to low levels of expression and the inherent instability of many membrane proteins once solubilized in detergents. A protocol is described that combines ligation independent cloning of membrane proteins as GFP fusions with expression in Escherichia coli detected by GFP fluorescence. This enables the construction and expression screening of multiple membrane protein/variants to identify candidates suitable for further investment of time and effort. The GFP reporter is used in a primary screen of expression by visualizing GFP fluorescence following SDS polyacrylamide gel electrophoresis (SDS-PAGE). Membrane proteins that show both a high expression level with minimum degradation as indicated by the absence of free GFP, are selected for a secondary screen. These constructs are scaled and a total membrane fraction prepared and solubilized in four different detergents. Following ultracentrifugation to remove detergent-insoluble material, lysates are analyzed by fluorescence detection size exclusion chromatography (FSEC). Monitoring the size exclusion profile by GFP fluorescence provides information about the mono-dispersity and integrity of the membrane proteins in different detergents. Protein: detergent combinations that elute with a symmetrical peak with little or no free GFP and minimum aggregation are candidates for subsequent purification. Using the above methodology, the heterologous expression in E. coli of SED (shape, elongation, division, and sporulation) proteins from 47 different species of bacteria was analyzed. These proteins typically have ten transmembrane domains and are essential for cell division. The results show that the production of the SEDs orthologues in E. coli was highly variable with respect to the expression levels and integrity of the GFP fusion proteins. The experiment identified a subset for further investigation.     

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells

Proteins are the building blocks, effectors and signal mediators of cellular processes. A protein’s function, regulation and localization often depend on its interactions with other proteins. Here, we describe a protocol for the yeast protein-fragment complementation assay (PCA), a powerful method to detect direct and proximal associations between proteins in living cells. The interaction between two proteins, each fused to a dihydrofolate reductase (DHFR) protein fragment, translates into growth of yeast strains in presence of the drug methotrexate (MTX). Differential fitness, resulting from different amounts of reconstituted DHFR enzyme, can be quantified on high-density colony arrays, allowing to differentiate interacting from non-interacting bait-prey pairs. The high-throughput protocol presented here is performed using a robotic platform that parallelizes mating of bait and prey strains carrying complementary DHFR-fragment fusion proteins and the survival assay on MTX. This protocol allows to systematically test for thousands of protein-protein interactions (PPIs) involving bait proteins of interest and offers several advantages over other PPI detection assays, including the study of proteins expressed from their endogenous promoters without the need for modifying protein localization and for the assembly of complex reporter constructs.     

Evaluating long-term cellular effects of the arsenic species thio-DMAV: qPCR-based gene expression as screening tool

Thio-dimethylarsinic acid (thio-DMA^V) is a human urinary metabolite of the class 1 human carcinogen inorganic arsenic as well as of arsenosugars. Thio-DMA^V exerts strong cellular toxicity, whereas its toxic modes of action are not fully understood. For the first time, this study characterises the impact of a long-term (21 days) in vitro incubation of thio-DMA^V on the expression of selected genes related to cell death, stress response, epigenetics and DNA repair. The observed upregulation of DNMT1 might be a cellular compensation to counterregulate the in a very recent study observed massive global DNA hypomethylation after chronic thio-DMA^V incubation. Moreover, our data suggest that chronic exposure towards subcytotoxic, pico- to nanomolar concentrations of thio-DMA^V causes a stress response in human urothelial cells. The upregulation of genes encoding for proteins of DNA repair (Apex1, Lig1, XRCC1, DDB2, XPG, ATR) as well as damage response (GADD45A, GADD45G, Trp53) indicate a potential genotoxic risk emanating from thio-DMA^V after long-term incubation.     

Non-cytotoxic 1,2,3-triazole tethered fused heterocyclic ring derivatives display Tax protein inhibition and impair HTLV-1 infected cells

Human T cell lymphotropic virus type 1 (HTLV-1) is a human retrovirus that infects approximately 10–20 million people worldwide and causes an aggressive neoplasia (adult T-cell leukemia/lymphoma - ATL). Therapeutic approaches for the treatment of ATL have variable effectiveness and poor prognosis, thus requiring strategies to identify novel compounds with activity on infected cells. In this sense, we initially screened a small series of 25 1,2,3-triazole derivatives to discover cell proliferation inhibitors and apoptosis inducers in HTLV-1-infected T-cell line (MT-2) for further assessment of their effect on viral tax activity through inducible-tax reporter cell line (Jurkat LTR-GFP). Eight promising compounds (02, 05, 06, 13, 15, 21, 22 and 25) with activity ≥70% were initially selected, based on a suitable cell-based assay using resazurin reduction method, and evaluated towards cell cycle, apoptosis and Tax/GFP expression analyses through flow cytometry. Compound 02 induced S phase cell cycle arrest and compounds 05, 06, 22 and 25 promoted apoptosis. Remarkably, compounds 22 and 25 also reduced GFP expression in an inducible-tax reporter cell, which suggests an effect on Tax viral protein. More importantly, compounds 02, 22 and 25 were not cytotoxic in human hepatoma cell line (Huh-7). Therefore, the discovery of 3 active and non-cytotoxic compounds against HTLV-1-infected cells can potentially contribute, as an initial promising strategy, to the development process of new drugs against ATL.     

Rethinking counselling in prenatal screening: An ethical analysis of informed consent in the context of non-invasive prenatal testing (NIPT)

Informed consent is a key condition for prenatal screening programmes to reach their aim of promoting reproductive autonomy. Reaching this aim is currently being challenged with the introduction of non-invasive prenatal testing (NIPT) in first-trimester prenatal screening programmes: amongst others its procedural ease—it only requires a blood draw and reaches high levels of reliability—might hinder women’s understanding that they should make a personal, informed decision about screening. We offer arguments for a renewed recognition and use of informed consent compared to informed choice, and for a focus on value-consistent choices and personalized informational preferences. We argue for a three-step counselling model in which three decision moments are distinguished and differently addressed: (1) professionals explore women’s values concerning whether and why they wish to know whether their baby has a genetic disorder; (2) women receive layered medical-technical information and are asked to make a decision about screening; (3) during post-test counselling, women are supported in decision-making about the continuation or termination of their pregnancy. This model might also be applicable in other fields of genetic (pre-test) counselling, where techniques for expanding genome analysis and burdensome test-outcomes challenge counselling of patients.     

Estimation of disease severity in the NHS cervical screening programme. Part I: artificial cut‐off points and semi‐quantitative solutions

R. G. Blanks
Estimation of disease severity in the NHS cervical screening programme. Part I: artificial cut‐off points and semi‐quantitative solutions Objective: Current cytology and histology classifications are based on ordered categories and have a strong emphasis on providing information that decides a woman's management rather than the best estimate of disease severity. This two‐part paper explores the use of a quantitative approach to both cytology and histology disease severity measurements. Methods: In Part I the problem of artificial cut‐off points is discussed and a simple semi‐quantitative solution to the problem is proposed. This closely relates to the revised British Society for Clinical Cytology (BSCC) terminology. The estimates of disease severity are designed as extensions of the existing methods, with an emphasis on probability rather than certainty, as a more natural way of approaching the problem. Borderline changes are treated as categorical variables, but koilocytosis, mild, moderate and severe dyskaryosis, and ?invasive as quasi‐continuous and the disease severity estimated as a grade number (GN) with any value between 0–4 and the margin of error as a calculated grade range (CGR). Results: As an example, if the reader is unsure between moderate dyskaryosis (HSIL favouring CIN2) and mild dyskaryosis (LSIL favouring CIN1) they can register this uncertainty as a probability, such as 60%/40% moderate/mild. With 2 and 1 as the mid‐points of the grade numbers for moderate and mild dyskaryosis the GN value is ((60 × 2) + (40 × 1))/100 = 1.6. The CGR is 1.5 ? 0.4 to 1.5 + 0.6 = 1.1 to 2.1. The GN (CGR) estimate of disease severity is therefore 1.6 (1.1–2.1). In a similar manner the disease severity from all slides showing koilocytosis or dyskaryosis can be estimated as a number between 0 and 4 with an associated error. Histology can be treated in a similar way. Conclusions: This semi‐quantitative approach provides a framework more suitable for research and audit of disease severity estimates. It avoids the paradox inherent in the current systems using artificial cut‐points to produce categories whereby increasing agreement can only be achieved by losing information.     

大豆根瘤菌HH103菌株培养基的筛选与优化

以快生型大豆根瘤菌HH103菌株为供试菌株,采用单因素碳氮源利用试验和正交设计试验,确定最佳培养基及其配方。结果表明：该菌株在YMA中生长良好,最佳碳源为蔗糖,最佳氮源为酵母膏,最佳培养基成分配方（g/L）：蔗糖11,酵母膏0.9,K2HPO4 0.5,MnSO4 0.005,CaCl2 0.1,KH2PO4 0.5,MgSO4 0.2,KNO30.77,（NH4）2HPO4 0.33,FeCl3 0.005,pH 7.2。     

人胰腺α-淀粉酶抑制剂高通量筛选模型的建立及其应用

【目的】针对人胰腺α-淀粉酶这个糖代谢途径中重要的靶蛋白,建立α-淀粉酶抑制剂高通量筛选模型。【方法】采用毕赤酵母表达系统克隆和表达人胰腺α-淀粉酶;利用酶的催化特性建立α-淀粉酶抑制剂筛选模型;应用该模型对放线菌发酵液冻干物进行高通量筛选;通过构建16S rRNA系统发育树分析阳性菌株的分类地位。【结果】成功克隆、表达了具催化活性的人胰腺α-淀粉酶;建立了α-淀粉酶抑制剂的筛选模型;对近2000株放线菌的发酵液冻干物进行高通量筛选,最终得到14株α-淀粉酶抑制剂产生菌株,且在分类学上具有丰富的菌种多样性。【结论】本研究建立的α-淀粉酶抑制剂高通量筛选模型具有很强的实用价值,可用于新型淀粉酶抑制剂类降糖药物的开发。     

栓孔菌属漆酶高产菌株的初步筛选及其产酶条件的优化

利用显色反应对栓孔菌属(Trametes)进行了漆酶高产菌株的筛选,并对目标菌株的产酶条件进行了优化,在添加愈创木酚的固体培养基中,通过显色反应初步筛选出漆酶高产菌株东方栓孔菌Trametes orientalis Cui 6300;进一步通过单因子分析、正交试验和ABTS法确定了菌株Cui 6300的最适产酶条件:麦芽糖15 g/L,蛋白胨3 g/L,pH 4.8,Cu2+2.0 mmol/L,培养温度28°C,接种饼直径1.5 cm,此时酶活最高可达19.923 U/mL;同时探索了Cu2+浓度及添加时间对其菌丝生物量和漆酶活力的影响。研究表明,Cu2+最适添加浓度为2.0 mmol/L,添加时间为接种后第3天。