Construction of resolvable spatial row-column designs

Resolvable row-column designs are widely used in field trials to control variation and improve the precision of treatment comparisons. Further gains can often be made by using a spatial model or a combination of spatial and incomplete blocking components. Martin, Eccleston, and Gleeson presented some general principles for the construction of robust spatial block designs which were addressed by spatial designs based on the linear variance (LV) model. In this article we define the two-dimensional form of the LV model and investigate extensions of the Martin et al. principles for the construction of resolvable spatial row-column designs. The computer construction of efficient spatial designs is discussed and some comparisons made with designs constructed assuming an autoregressive variance structure.     

Sources and predictors of resolvable indel polymorphism assessed using rice as a model

The principal sources of genetic variation that can be assayed with restriction enzymes are base substitutions and insertions/deletions (indels). The likelihood of detecting indels as restriction fragment length polymorphisms (RFLPs) is determined by the size and frequency of the indels, and the ability to resolve small indels as RFLPs is limited by the distribution of restriction fragment sizes. In this study, we use aligned sequences from the indica and japonica subspecies of rice ( Oryza sativa L.) to quantify and compare the ability of restriction enzymes to detect indels. We look specifically at two abundant transposable element-derived indel sources: miniature inverted repeat transposable elements (MITEs) and long terminal repeat (LTR) retroelements. From this analysis we conclude that indels rather than base substitutions are the prevailing source of the polymorphism detected in rice. We show that, although MITE derived indels are more abundant than LTR-retroelement derived indels, LTR-retroelements have a greater capacity to generate visible restriction fragment length polymorphism because of their larger size. We find that the variation in the detectability of indels among restriction enzymes can be explained by differences in the frequency and dispersion of their restriction sites in the genome. The parameters that describe the fragment size distributions obtained with the restriction enzymes are highly correlated across the sequenced genomes of rice, Arabidopsis and human, with the exception of some extreme deviations in frequency for particular recognition sequences corresponding to variations in the levels and modes of DNA methylation in the three disparate organisms. Thus, we can predict the relative ability of a restriction enzyme to detect indels derived from a specific source based on the distribution of restriction fragment sizes, even when this is estimated for a distantly related genome.Electronic Supplementary Material Supplementary Material is available in the online version of this article at Communicated by M.-A. Grandbastien     

Fluorescence lifetime imaging: multi-point calibration, minimum resolvable differences, and artifact suppression

BACKGROUND: Frequency-domain fluorescence lifetime imaging microscopy (FLIM) is finding increasing use in the analysis of biological systems. However, the calibration, determination of resolvable lifetime differences, and evaluation of artifacts have not been extensively treated. We describe a multi-point method for calibrating a frequency-domain FLIM system, characterize the minimum detectable heterogeneity and intra- and inter-image lifetime differences, discuss the statistical treatment of FLIM data, and suggest methods for minimizing artifacts. METHODS: A set of solutions exhibiting single-component lifetimes suffice for accurately calibrating a reference material with a single-component lifetime, even in the absence of accurate data on the lifetimes of the individual solutions or the reference material. We used a set of rhodamine 6G solutions quenched with varying concentrations of iodide, leading to lifetimes of 0.5--4.0 ns, to calibrate a 1 microM reference solution of rhodamine 6G in water. RESULTS: We measured a value of 4.11 ns with an estimated absolute error of +/-0.05 ns for the rhodamine 6G reference solution. With 57.7 MHz modulation, the minimum detectable inter-image lifetime difference was 0.1--0.15 ns and the minimum detectable intra-image lifetime difference was 4--5 ps, allowing solutions differing in lifetime by 40 and 70 ps to be easily distinguished. The minimum detectable lifetime heterogeneity was 50--80 ps. Evaluation of replicate measurements of single solutions demonstrated that inter-image instrument errors exceeded those predicted from intra-image statistics by more than an order of magnitude. We also measured lifetimes and heterogeneity in 4 GFP variants (WTGFP, EGFP, S65T, and EYFP) with the technique. CONCLUSION: The multi-point calibration method is applicable to any system consisting of single-component lifetimes. Applying the method in our FLIM microscope allowed us to demonstrate a previously unreported degree of lifetime resolution in a FLIM microscope. Cytometry 43:248-260;2001.     

A human chromosome 9-specific alphoid DNA repeat spatially resolvable from satellite 3 DNA by fluorescent in situ hybridization.

We have isolated a DNA clone (pMR9A) that identifies an alphoid DNA subset specific for chromosome 9. This alphoid subset is characterized by a dimeric organization as revealed by Southern blot analysis after digestion with HaeIII, HinfI, or StuI. Nonradioactive in situ hybridization demonstrated that pMR9A hybridizes only to the centromeric region of chromosome 9 and reveals chromosome 9 aneuploidies in interphase nuclei. In addition, the probe detects quantitative differences in alpha satellite DNA on chromosome 9, but these quantitative differences are not correlated with the size of the heterochromatic region. Double-labeling experiments, using a chromosome 9-specific satellite 3 clone and pMR9A, enabled us spatially to distinguish the alphoid and satellite 3 domains on metaphase chromosomes after treatment of the cultures with 5-azacytidine.     

Fluorescence polarization competition assay: the range of resolvable inhibitor potency is limited by the affinity of the fluorescent ligand

For the development of fluorescence polarization (FP) competition assays, there is a widespread belief that tight-binding fluorescent ligands should be avoided to identify inhibitors of low or intermediate potency in the screening of small-molecule compound libraries. It is demonstrated herein that this statement is a misconception; in fact, the higher the affinity of the fluorescent ligand, the wider the range of inhibitor potency that can be resolved. An approximate estimate for the low end of inhibitor K(i) values that can be resolved is the K(d) value of the fluorescent ligand. Because FP competition assays are typically conducted under nonstoichiometric titration conditions, it is suggested that a fluorescent ligand of highest affinity that also has an adequate quantum yield to satisfy such conditions be selected.     

Dual Designs and Their Application in Genetical Experiments

The dual of incomplete block designs has been studied with th́eir applications in genetical experiments. Partial diallel crosses (PDC) of type I have been constructed using balanced incomplete block (BIB) designs, partially balanced incomplete block (PBIB) designs and their dual designs. Simplified analysis of PDC has been presented using the dual property of these designs. List of optimal PDC having simple analysis has been given.     

Highly efficient stepped wedge designs for clusters of unequal size

The stepped wedge design (SWD) is a form of cluster randomized trial, usually comparing two treatments, which is divided into time periods and sequences, with clusters allocated to sequences. Typically all sequences start with the standard treatment and end with the new treatment, with the change happening at different times in the different sequences. The clusters will usually differ in size but this is overlooked in much of the existing literature. This paper considers the case when clusters have different sizes and determines how efficient designs can be found. The approach uses an approximation to the variance of the treatment effect, which is expressed in terms of the proportions of clusters and of individuals allocated to each sequence of the design. The roles of these sets of proportions in determining an efficient design are discussed and illustrated using two SWDs, one in the treatment of sexually transmitted diseases and one in renal replacement therapy. Cluster-balanced designs, which allocate equal numbers of clusters to each sequence, are shown to have excellent statistical and practical properties; suggestions are made about the practical application of the results for these designs. The paper concentrates on the cross-sectional case, where subjects are measured once, but it is briefly indicated how the methods can be extended to the closed-cohort design.     

景观设计思维的培养途径与教学探讨——从设计思维的特性谈起

作为一门以落地性为特征的应用型学科,对学生规划设计思维与能力的培养一直是风景园林专业教学的重要目标,如何通过教学有效地培养学生规划设计思维与能力也成为了风景园林专业教育关注的重要议题。本文从设计思维的特性出发,针对设计教学课程提出了一套控制方式和流程,并以同济大学本科三年级上学期的公园设计课程为例,对景观设计思维的培养途径和方法展开了教学尝试。     

Experimental design methods for bioengineering applications

Experimental design is a form of process analysis in which certain factors are selected to obtain the desired responses of interest. It may also be used for the determination of the effects of various independent factors on a dependent factor. The bioengineering discipline includes many different areas of scientific interest, and each study area is affected and governed by many different factors. Briefly analyzing the important factors and selecting an experimental design for optimization are very effective tools for the design of any bioprocess under question. This review summarizes experimental design methods that can be used to investigate various factors relating to bioengineering processes. The experimental methods generally used in bioengineering are as follows: full factorial design, fractional factorial design, Plackett–Burman design, Taguchi design, Box–Behnken design and central composite design. These design methods are briefly introduced, and then the application of these design methods to study different bioengineering processes is analyzed.     

生物工程专业“试验设计与数据处理”教学中常用软件的探讨

试验设计与数据处理在生物工程专业方向有着重要的应用,但是在本科教学中开设该课程的高校较少。本文结合生物工程中的常见案例,对该课程教学过程中常用的软件包括Excel、正交试验设计助手、Data processing system(DPS)和Design expert在单因素、多因素、正交、均匀、P-B(Plackett-Burman)和响应面等数据处理方法进行了探讨。通过比较分析各种软件和数据处理方法之间特点,增加该课程教学的实践性和应用性,从而提高教学质量。     

Design-driven, multi-use research agendas to enable applied synthetic biology for global health

Many of the synthetic biological devices, pathways and systems that can be engineered are multi-use, in the sense that they could be used both for commercially-important applications and to help meet global health needs. The on-going development of models and simulation tools for assembling component parts into functionally-complex devices and systems will enable successful engineering with much less trial-and-error experimentation and laboratory infrastructure. As illustrations, I draw upon recent examples from my own work and the broader Keasling research group at the University of California Berkeley and the Joint BioEnergy Institute, of which I was formerly a part. By combining multi-use synthetic biology research agendas with advanced computer-aided design tool creation, it may be possible to more rapidly engineer safe and effective synthetic biology technologies that help address a wide range of global health problems.     

Analysis of Partially Balanced Incomplete Block Designs with Standards

The paper presents a detailed analysis of variance of PBIB designs supplemented by one or more standard treatments. Comparisons were carried out of treatment effects within the group of standard and test treatments and between the two groups. The analysis is supplemented by an example.     

On the PBB Designs for Multiresponse Experiments

We present the idea of using multiresponse incomplete block designs when not all responses can be observed in all experimental units. For a special class of such designs, in which partial designs are PBB designs, a method for estimating natural treatment contrast is given. We also consider the problem of testing the hypotheses concerning the natural and any estimable treatment contrasts. For testing this hypothesis the Wald statistics, being asymptotically chi-square distributed, is proposed.