Real‐time telemetric monitoring in whole‐body 60Co gamma‐photon irradiated rhesus macaques (Macaca mulatta)

Background Animals undergoing experimental manipulations, such as exposure to radiation, may exhibit physiologic and behavioral signs of pain and distress. Telemetry permits close monitoring of these parameters for early and effective management during procedures. Methods Radiotelemetric units were surgically implanted into 24 Macaca mulatta before 6.5‐Gy cobalt‐60 γ‐photon irradiation. Each unit transmitted electrocardiogram, intrathoracic pressure, and body temperature leads. Primate irradiation‐restraint boxes and housing cages were modified to collect telemetric signals before, during, and after irradiation. Results Differences in respiratory rate, heart rate, or body temperature in telemetric‐collected recordings, which were observed during non‐irradiation and irradiation sessions, were statistically insignificant. Conclusions Insignificant changes in the physiological parameters during monitoring suggest that the animals experienced no detectable pain or distress during irradiation.     

Generalized Walker-Duncan Procedure for Obtaining Maximum Likelihood Estimates of Parameters of Logistic Discriminant Function

A recursive method of obtaining the maximum likelihood estimates of the parameters of the quadratic logistic discriminant function is presented. This method is an extension of the Walker and Duncan procedure (1967) proposed for the linear logistic discriminant function in a dichotomous case. A generalization of the method to the problem of discrimination between several populations is also given in the paper. It works for both linear and quadratic logistic discriminant function. After an estimation of the parameters of the logistic function a classification can be performed. An example of application of the method to automatic diagnosis of some respiratory diseases is presented. Comparison with the standard procedures used for the estimation is done by a short simulation study.     

Robustness of Multiple Comparison Procedures: Treatment versus Control

Computer simulation techniques were used to investigate the Type I and Type II error rates of one parametric (Dunnett) and two nonparametric multiple comparison procedures for comparing treatments with a control under nonnormality and variance homogeneity. It was found that Dunnett's procedure is quite robust with respect to violations of the normality assumption. Power comparisons show that for small sample sizes Dunnett's procedure is superior to the nonparametric procedures also in non-normal cases, but for larger sample sizes the multiple analogue to Wilcoxon and Kruskal-Wallis rank statistics are superior to Dunnett's procedure in all considered nonnormal cases. Further investigations under nonnormality and variance heterogeneity show robustness properties with respect to the risks of first kind and power comparisons yield similar results as in the equal variance case.     

Isoflavonoids as systematic markers

A taxonomic procedure, applicable to biogenetic groups (BG) of secondary metabolities, involves initially the determination of the relative probability of occurrence (RPO) with respect to skeleton and substitution for each compound of the BG. The means of the RPO-values of the constituents represent the evolutionary advancement parameters (EAP) of the species. Consideration of the EAPs and of the chemical composition leads to the classification of species along chemical lines. This procedure, which is independent of morphological evidence, applied to isoflavonoids, suggests the sequence of structural changes which accompany the evolution of this BG in nature, and, used as an auxiliary criterion to the conventional morphological classification, provides the basis for understanding of the evolutionary development in the Lotoideae.     

A cautionary note on design implications when the primary analysis is a stratified analysis of a binary endpoint

When the primary analysis is a stratified analysis of a binary endpoint, the commonly used CMH procedure could produce results that are quite different from those obtained by ignoring the stratification factor altogether. This means that when designing a trial with a primary endpoint that is binary, it is important that one keep in mind how the data will be analyzed. Only when design and analysis are considered in tandem will the study possess the desired properties. The discussion in this paper is illustrated by a hypothetical example, which nevertheless resembles the findings from a confirmatory trial involving the evaluation of a biologic for severe sepsis.     

Powers of Multiple-Testing Procedures for Identification of Genes Significantly Differentially Expressed in Microarray Experiments

Because of the high operation costs involved in microarray experiments, the determination of the number of replicates required to detect a gene significantly differentially expressed in a given multiple-testing procedure is of considerable significance. Calculation of power/replicate numbers required in multiple-testing procedures provides design guidance for microarray experiments. Based on this model and by choice of a multiple-testing procedure, expression noises based on permutation resampling can be considerably minimized. The method for mixture distribution model is suitable to various microarray data types obtained from single noise sources, or from multiple noise sources. By using the biological replicate number required in microarray experiments for a given power or by determining the power required to detect a gene significantly differentially expressed, given the sample size, or the best multiple-testing method can be chosen. As an example, a single-distribution model of t-statistic was fitted to an observed microarray dataset of 3 000 genes responsive to stroke in rat, and then used to calculate powers of four popular multiple-testing procedures to detect a gene of an expression change D. The results show that the B-procedure had the lowest power to detect a gene of small change among the multiple-testing procedures, whereas the BH-procedure had the highest power. However, all multiple-testing procedures had the same power to identify a gene having the largest change. Similar to a single test, the power of the BH-procedure to detect a small change does not vary as the number of genes increases, but powers of the other three multiple-testing procedures decline as the number of genes increases.     

Chromosome shattering: a mitotic catastrophe due to chromosome condensation failure

Chromosome shattering has been described as a special form of mitotic catastrophe, which occurs in cells with unrepaired DNA damage. The shattered chromosome phenotype was detected after application of a methanol/acetic acid (MAA) fixation protocol routinely used for the preparation of metaphase spreads. The corresponding phenotype in the living cell and the mechanism leading to this mitotic catastrophe have remained speculative so far. In the present study, we used V79 Chinese hamster cells, stably transfected with histone H2BmRFP for live-cell observations, and induced generalized chromosome shattering (GCS) by the synergistic effect of UV irradiation and caffeine posttreatment. We demonstrate that GCS can be derived from abnormal mitotic cells with a parachute-like chromatin configuration (PALCC) consisting of a bulky chromatin mass and extended chromatin fibers that tether centromeres at a remote, yet normally shaped spindle apparatus. This result hints at a chromosome condensation failure, yielding a “shattered” chromosome complement after MAA fixation. Live mitotic cells with PALCCs proceeded to interphase within a period similar to normal mitotic cells but did not divide. Instead they formed cells with highly abnormal nuclear configurations subject to apoptosis after several hours. We propose a factor depletion model where a limited pool of proteins is involved both in DNA repair and chromatin condensation. Chromosome condensation failure occurs when this pool becomes depleted. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users. This article has been submitted as a contribution to the festschrift entitled “Uncovering cellular sub-structures by light microscopy” in honour of Professor Cremer’s 65th birthday.     

Controlling False Discoveries in Multidimensional Directional Decisions,with Applications to Gene Expression Data on Ordered Categories

Summary Microarray gene expression studies over ordered categories are routinely conducted to gain insights into biological functions of genes and the underlying biological processes. Some common experiments are time‐course/dose‐response experiments where a tissue or cell line is exposed to different doses and/or durations of time to a chemical. A goal of such studies is to identify gene expression patterns/profiles over the ordered categories. This problem can be formulated as a multiple testing problem where for each gene the null hypothesis of no difference between the successive mean gene expressions is tested and further directional decisions are made if it is rejected. Much of the existing multiple testing procedures are devised for controlling the usual false discovery rate (FDR) rather than the mixed directional FDR (mdFDR), the expected proportion of Type I and directional errors among all rejections. Benjamini and Yekutieli (2005, Journal of the American Statistical Association 100, 71–93) proved that an augmentation of the usual Benjamini–Hochberg (BH) procedure can control the mdFDR while testing simple null hypotheses against two‐sided alternatives in terms of one‐dimensional parameters. In this article, we consider the problem of controlling the mdFDR involving multidimensional parameters. To deal with this problem, we develop a procedure extending that of Benjamini and Yekutieli based on the Bonferroni test for each gene. A proof is given for its mdFDR control when the underlying test statistics are independent across the genes. The results of a simulation study evaluating its performance under independence as well as under dependence of the underlying test statistics across the genes relative to other relevant procedures are reported. Finally, the proposed methodology is applied to a time‐course microarray data obtained by Lobenhofer et al. (2002, Molecular Endocrinology 16, 1215–1229). We identified several important cell‐cycle genes, such as DNA replication/repair gene MCM4 and replication factor subunit C2, which were not identified by the previous analyses of the same data by Lobenhofer et al. (2002) and Peddada et al. (2003, Bioinformatics 19, 834–841). Although some of our findings overlap with previous findings, we identify several other genes that complement the results of Lobenhofer et al. (2002) .     

Introgression of Resistance to Powdery Mildew Conferred by Chromosome 2R by Crossing Wheat Nullisomic 2D with Rye

Using the nulUsomic back-cross procedure, four wheat-rye chromosome substitution 2R （2D） lines with different agronomic performance, designated WR02-145-1, WR01-145-2, WR02-145-3, and WR02-145-4, were produced from a cross between 2D nullisomic wheat （Triticum aestivum L. cv. ＂Xiaoyan 6＂） and rye （Secale cereale L. cv. ＂German White＂）. The chromosomal constitution of 2n=42=21 in WR02-145 lines was confirmed by cytological and molecular cytogenetic methods. Using genomic in situ hybridization on root tip chromosome preparations, a pair of intact rye chromosomes was detected in the WR02-145 lines. PCR using chromosome-specific primers confirmed the presence of 2R chromosomes of rye in these wheat-rye lines, indicating that WR02o145 lines are disomic chromosome substitution lines 2R （2D）. The WR02-145 lines are resistant to the powdery mildew （Erysiphe graminis DC. f. sp. tritici E. Marchal） isolates prevalent in northern China and may possess gene（s） for resistance to powdery mildew, which differ from the previously identified Pm7gene located on chromosome 2RL. The newly developed ＂Xiaoyan 6＂- ＂German White＂ 2R （2D） chromosome substitution lines are genetically stable, show desirable agronomic traits, and are expected to be useful in wheat improvement.