Establishment, Growth kinetics, and Susceptibility to AcMNPV of Heat Tolerant Lepidop teran Cell Lines

Lepidopteran heat-tolerant(ht)cell lines have been obtained with sf-9,sf-21 and several Bombyx cells.They have a distinct karyotype,membrane lipid composition,morphology and growth kinetics from the parental cell lines.In this paper,we report the development of ht cell lines from other insect species and examination of their growth characteristics and virus susceptibility.Adaptation of cell lines sf-9,BTI-TN-5131-4(High5)and BTI-TN-MG1(MG 1)to 33℃ and 35℃ was carried out by shifting the culture temperature between 28℃ and higher temperatures by a gradual stepwise increase in temperature.The process of adaption to a higher culture temperature was accomplished over a period of 2 months.The cell lines with the temperature adaption were designated as sf9-ht33,sf9-ht35,High5-ht33,High5-ht35,MG1-ht33,MG1-ht35.These cell lines have been subcultured over 70 passages.Adaption to high temperatures was confirmed by a constant population doubling time with individual cell lines.The population doubling time of heat adapted cell lines were 1-4 h less than these of parental cell lines.Cell shapes did not show obvious change,however,the cell size of sf9-ht cells was enlarged and those of High5 and MG1 ht cells were reduced after heat adaption.When the cell lines were infected with Autographa californica nuclear polyhedrosis virus(AcMNPV)at 28℃,33℃,35℃ and 37℃,production of budded virus and occlusion bodies in each cell line was optimum at its own adapted temperature.     

Measurement error and confidence intervals for ROC curves

Measurement error in a continuous test variable may bias estimates of the summary properties of receiver operating characteristics (ROC) curves. Typically, unbiased measurement error will reduce the diagnostic potential of a continuous test variable. This paper explores the effects of possibly heterogenous measurement error on estimated ROC curves for binormal test variables. Corrected estimators for specific points on the curve are derived under the assumption of known or estimated measurement variances for individual test results. These estimators and associated confidence intervals do not depend on normal assumptions for the distribution of the measurement error and are shown to be approximately unbiased for moderate size samples in a simulation study. An application from a study of emerging imaging modalities in breast cancer is used to demonstrate the new techniques.     

Tutorial: using confidence curves in medical research

Confidence intervals represent a routinely used standard method to document the uncertainty of estimated effects. In most cases, for the calculation of confidence intervals the conventional fixed 95% confidence level is used. Confidence curves represent a graphical illustration of confidence intervals for confidence levels varying between 0 and 100%. Although such graphs have been repeatedly proposed under different names during the last 40 years, confidence curves are rarely used in medical research. In this paper, we introduce confidence curves and present a short historical review. We draw attention to the different interpretation of one- and two-sided statistical inference. It is shown that these two options also have influence on the plotting of appropriate confidence curves. We illustrate the use of one- and two-sided confidence curves and explain their correct interpretation. In medical research more emphasis on the choice between the one- and two-sided approaches should be given. One- and two-sided confidence curves are useful complements to the conventional methods of presenting study results.     

Review and analysis of the surveys for natural enemies of Mimosa pigra: What does it tell us about surveys for broadly distributed hosts?

Mimosa pigra L. (Mimosaceae), a serious weed in Australia and Asia, has been the target of a biological control project for 25 years. This woody legume occurs naturally in all tropical American countries from Mexico to Argentina and on many Caribbean islands. In this paper, we analysed the results of surveys for natural enemies of M. pigra conducted in seven countries by several different collectors and which revealed 420 species of insects and five of fungi. We assessed the survey effort relative to the natural distribution of the host-plant to show that large areas of the natural distribution were not covered. We examined the known distribution of the natural enemies to show that most natural enemies occur over the majority of the range of the host, although the Isthmus of Panama is a barrier to many species. This indicates that few potential agents were missed. We show species accumulation curves for three sites to estimate the number of visits required to find most species at a site. Although the species accumulation curves continued to rise, even after 28 collections and 101 insects found at one site, the species utilised for biological control were found relatively early. We expect that these general conclusions (that those insects with potential for biological control are widely distributed and relatively quickly discovered) are applicable to biological control surveys of any target that occurs continuously over a wide geographic range, but possibly not to targets that occupy disjunct distributions.     

Detection of competitive enzyme inhibition with end point progress curve data

A model for a dimensionless factor, the inhibition detection limit (IDL), which describes the limit of detection of competitive inhibition for end point assays as a function of the proportion of substrate converted into product, has been developed. For a given end point enzymatic assay, the IDL function has a maximum that is dependent on the error structure parameters (four parameters) of the assay, the value of [S]o/K(ms), and the extent of product inhibition (K(ms)/K(mp)). Accordingly, the substrate conversion level that maximized the ability to detect samples with high Ki/[I] ratios was predicted for each member of a population of simulated assays. Furthermore, we identified a consensus substrate conversion level where the probability of a near-optimal robustness and detection limit for all the members of the assay population is maximal. Unlike the optimal substrate conversion level for individual assays, this consensus substrate conversion level was dependent only on [S]o/K(m), K(ms)/K(mp), and whether the signal increases or decreases during the course of the reaction. Consensus substrate conversion levels were beyond the initial velocity range for almost all the analyzed assay populations. It was shown that the IDL factor was a more informative indicator of assay quality than the popular Z' factor.     

Correlation between cell survival,clonogenic activity and micronuclei induction in DMBA-OC-1R cells treated with immunospecific albumin microspheres containing cisplatin and 5-fluorouracil

An ideal chemotherapeutic strategy would be to deliver a high concentration of drug that would be released in sustained small amounts from targeted microspheres to effectively kill only the tumour cells and thus reduce toxicity to normal tissue. Clonogenic and cell survival growth curve assays, as well as the micronucleus assay, were used to determine the feasibility of employing targeted immunomicrospheres in the treatment of cancer. Cells of a rodent ovarian carcinoma cell line, were exposed to cisplatin and 5-fluorouracil, either as free drug or encapsulated in albumin microspheres that were either conjugated to monoclonal antibodies or not. In cell survival growth curve assays, cell survival was reduced to 1.2% of the control when cells were treated with drug-containing immunomicrospheres. 3.2-fold more micronuclei were found in those cells that had been exposed to the drugs in immunomicrospheres than in those subjected to untargeted microspheres. All three assays demonstrated that the targeted immunomicrospheres were more effective in delivering cisplatin and 5-fluorouracil directly to the cells than the unconjugated microspheres, thus suggesting that targeted chemotherapy might be a more effective option in the treatment of cancer.     

Modeling temperature entrainment of circadian clocks using the Arrhenius equation and a reconstructed model from Chlamydomonas reinhardtii

Endogenous circadian rhythms allow living organisms to anticipate daily variations in their natural environment. Temperature regulation and entrainment mechanisms of circadian clocks are still poorly understood. To better understand the molecular basis of these processes, we built a mathematical model based on experimental data examining temperature regulation of the circadian RNA-binding protein CHLAMY1 from the unicellular green alga Chlamydomonas reinhardtii, simulating the effect of temperature on the rates by applying the Arrhenius equation. Using numerical simulations, we demonstrate that our model is temperature-compensated and can be entrained to temperature cycles of various length and amplitude. The range of periods that allow entrainment of the model depends on the shape of the temperature cycles and is larger for sinusoidal compared to rectangular temperature curves. We show that the response to temperature of protein (de)phosphorylation rates play a key role in facilitating temperature entrainment of the oscillator in Chlamydomonas reinhardtii. We systematically investigated the response of our model to single temperature pulses to explain experimentally observed phase response curves.     

Species loss of stoneflies (Plecoptera) in the Czech Republic during the 20th century

1. Rapid expansion and intensification of anthropogenic activities in the 20th century has caused profound changes in freshwater assemblages. Unfortunately, knowledge of the extent and causes of species loss (SL) is limited due to the lack of reliable historical data. An unusual data set allows us to compare changes in the most sensitive of aquatic insect orders, the Plecoptera, at some 170 locations in the Czech Republic between two time periods, 1955–1960 and 2006–2010. Historical data (1890–1911) on assemblages of six lowland rivers allow us to infer even earlier changes. 2. Regional stonefly diversity decreased in the first half of the 20th century. Streams at lower altitudes lost a substantial number of species, which were never recovered. In the second half of the century, large‐scale anthropogenic pressure caused SL in all habitats, leading to a dissimilarity of contemporary and previous assemblages. The greatest changes were found at sites affected by organic pollution and a mixture of organic pollution and channelisation or impoundment. Colonisation of new habitats was observed in only three of the 80 species evaluated. 3. Species of moderate habitat specialisation and tolerance to organic pollution were most likely to be lost. Those with narrow specialisations in protected habitats were present in both historical and contemporary collections. 4. Contemporary assemblages are the consequence of more than a 100 years of anthropogenic impacts. In particular, streams at lower altitude and draining intensively exploited landscapes host a mere fragment of the original species complement. Most stonefly species are less frequently present than before, although their assemblages remain almost intact in near‐natural mountain streams. Our analyses demonstrate dramatic restriction of species ranges and, in some cases, apparent changes in altitudinal preference throughout the area.     

常用大鼠发热模型研究

目的探讨干酵母、2,4-二硝基酚、脂多糖（LPS）、细菌内毒素引起SD大鼠实验性发热的过程和特点,比较不同浓度外致热原对大鼠发热过程的影响。方法建立大鼠干酵母（2 g/kg、1 g/kg）、2,4-二硝基酚（30mg/kg、15 mg/kg）、LPS（100μg/kg、20μg/kg）、细菌内毒素（120 EU/kg、60 EU/kg）发热模型,记录不同时间点大鼠升温值,绘制各模型平均升温曲线,比较不同大鼠发热模型的发热特点。结果皮下注射干酵母混悬液,注射后2～3 h开始升温,6～7 h达峰值,升温持续20 h;皮下注射2,4-二硝基酚溶液,注射后20 min开始升温,1～1.5 h达峰值,升温持续3～5 h;腹腔注射LPS、细菌内毒素,注射后30 min开始升温,此后升温曲线表现为双相热或三相热,升温持续5～8 h。结论不同外致热原所致SD大鼠发热的过程和特点不同;外致热原浓度不同,所致大鼠发热过程和特点不同。解热试验中,应根据受试药物本身特点选用合适的大鼠发热模型。