Transformation of DNA sequence data into geometric symbols

Comparative analysis of related DNA sequences has been simplified by the transformation of data in the standard A, G, C, T format into a set of geometric symbols that promote pattern recognition. Previously, comparing more than 2 or 3 sequences simultaneously has been difficult because of the monotonous patterns established by letters. Here 33 sequences are simultaneously compared to demonstrate the ease with which nucleotide substitutions are accurately identified. This has been accomplished by writing a Word-Perfect macro program to facilitate this transformation. Since this word processing program is widely used, performing this kind of analysis is readily achievable in most laboratories involved in DNA sequence analysis.     

Early stages and the classification of the milkweed butterflies (Lepidoptera: Danainae)

The Danainae, or milkweed butterflies, are a moderate-sized group of around 150 species that are of considerable ecological, physiological and behavioural interest. There are two currently accepted classifications for the subfamily and the aim of this study was to try to resolve this conflict using characters derived from the eggs, larvae and pupae. The 130 new characters (of which 85 are illustrated) are analysed by both phenetic methods (average linkage cluster analysis and principal coordinate analysis) and by cladistic techniques (Wagner tree, character compatibility analysis and manually derived cladograms). Overall, the results corroborate the more recent classification of the Danainae. However, some points of difference are found and, after component analysis, an alternative classification is presented in accordance with the conventions for constructing annotated Linnaean hierarchies.     

Prenatal diagnosis of inherited hemoglobinopathies

In this paper we reviewed the different methods presently available for prenatal diagnosis of hemoglobin disorders and the impact of this technology in the control of beta-thalassemia in several Mediterranean populations. The vast majority of the inherited hemoglobinopathies can now be detected in the fetus by amniocyte or trophoblast DNA analysis. alpha-thalassemias, delta beta-thalassemias and gamma delta beta-thalassemias, which are usually caused by a gross structural rearrangement of the DNA, may be directly detected by Southern blot analysis. Only a few beta-thalassemia lesions are caused by gene deletion or affect a restriction recognition site and thus may be directly identified by this method. The major part of beta-thalassemia are due to single nucleotide substitution, small deletion or addition which do not alter a restriction recognition site. These mutations may be directly detected by complementary oligonucleotide probes. Alternatively, when normal or affected children are available, fetal diagnosis may be accomplished by linkage analysis with polymorphic restriction sites. Fetal blood analysis is used at present time for those cases presenting too late in the pregnancy for characterization of the molecular defect and in prospective parents in whom the defect is not known. Introduction of prenatal diagnosis in combination with carrier screening in several mediterranean populations led to a consistent reduction in the incidence of homozygous beta-thalassemia.     

Profiling solid-phase synthesis products by free-solution conjugate capillary electrophoresis

Solid-phase synthesis of oligomers, both natural and nonnatural, has proved to be invaluable for the development of many areas of biotechnology. A critical step in the solid-phase synthesis of any oligomer is determining the number and concentration of different constituents present in the product mixture resulting from the synthesis, both before and after purification. Most typically, this analysis is performed by reversed-phase high performance liquid chromatography (RP-HPLC), with the separated components detected by UV absorbance. Recently, we described a novel technique, free-solution conjugate electrophoresis (FSCE), for the high-resolution separation and sensitive laser-induced fluorescence (LIF) detection of uncharged, synthetic polymers, PEG in particular. In this report, we apply this bioconjugate capillary electrophoresis technique to analyze products of the solid-phase synthesis of oligomeric polyamides, namely poly(N-substituted glycines), or polypeptoids. When compared to more traditional RP-HPLC analysis, FSCE analysis of oligomeric peptoids results in separation resolutions that are approximately five times higher and separation efficiencies that are increased by 150%. Moreover, when FSCE with LIF detection is applied to the analysis of oligomeric polyamides after HPLC purification, impurities that are not detectable in RP-HPLC analysis are readily separated and detected. With the advent of capillary array electrophoresis (CAE), which allows for automated, parallel analysis of many different samples, we believe that FSCE will be especially applicable to the analysis of combinatorial synthesis products, by allowing researchers to evaluate many different samples in a single, highly parallel, fully automated analysis. This is in contrast to RP-HPLC analysis, in which samples must be analyzed in series.     

Principles for Griffing's combining ability analysis

Griffing's diallel analysis is used in plant improvement programs to identify superior parents for crossing and for characterizing general, specific, and reciprocal effects. Eight different model/method combinations are commonly used in the analysis. The accuracy of the analysis is improved by using the appropriate model and method. In many instances, Model One with Method Three or Four is the most appropriate for obtaining unbiased estimates of combining abilities and gene action. The effective use of Griffing's analysis and the influence of several factors on this analysis are discussed. A personal computer program on this analysis is also made available to interested readers.     

高通量测序技术在野生动物食性分析中的应用

食性研究是动物生态学颇受关注的一个重要内容,而食性分析方法由于受到技术和适用范围的限制,也在不断改进和更新。随着高通量测序技术的发展,该技术逐渐扩展到野生动物的食性分析,使食性分析的效率得到极大提升,并拓宽了食性分析的应用范围。尽管高通量测序应用于食性分析在数据量、灵敏度和分辨率方面的优势较为明显,但由于涉及到的步骤较多,受到的影响因素较为复杂,目前高通量测序应用于食性分析还属于研究比较薄弱的领域。概述了高通量测序技术应用于食性分析的基本流程,总结了该技术在食物组成分析、种内和种间食性关系、食物与栖息地、行为关系方面的研究动态,分析了PCR、污染和定量分析对该技术应用性的影响,提出了相应的解决对策和建议,并对其应用前景进行了展望。     

非度量多维测度及其在群落分类中的应用

排序与聚类分析法是近代最为常用的植被数量分析方法。原理上,排序较之于聚类法,一般具有较为严格的数学基础。在植被研究的应用方面,排序比聚类法能更好反映植被的连续性。同时,在反映植被分类结果上,排序图不仅象聚类树形图一样,使全部实体之间的划分关系得以反映,而且两两实体间的关系可以通过排序图上彼此间的距离比较而得以较好的反映。然而常规的排序方法主要适用于具有线性结构的数据分析,在2—3维排序图上常难以充分反映这些实体的生态学关系,造成大量生态学数据信息的损失。非度量多维测度(Non-metric multidimensional scaling)是近期发展起来的适用于非线性数据结构分析的一种复杂的迭代排序方法。它的基本思想是通过排序,n个实体在尽可能低维(t相似文献   

Validation of whole genome amplification for analysis of the p53 tumor suppressor gene in limited amounts of tumor samples

Personalized cancer treatment requires molecular characterization of individual tumor biopsies. These samples are frequently only available in limited quantities hampering genomic analysis. Several whole genome amplification (WGA) protocols have been developed with reported varying representation of genomic regions post amplification. In this study we investigate region dropout using a φ29 polymerase based WGA approach. DNA from 123 lung cancers specimens and corresponding normal tissue were used and evaluated by Sanger sequencing of the p53 exons 5-8. To enable comparative analysis of this scarce material, WGA samples were compared with unamplified material using a pooling strategy of the 123 samples. In addition, a more detailed analysis of exon 7 amplicons were performed followed by extensive cloning and Sanger sequencing. Interestingly, by comparing data from the pooled samples to the individually sequenced exon 7, we demonstrate that mutations are more easily recovered from WGA pools and this was also supported by simulations of different sequencing coverage. Overall this data indicate a limited random loss of genomic regions supporting the use of whole genome amplification for genomic analysis.     

A numerical analysis of isoelectric focused keratin monomers: Affinities of some western indian ocean green geckos

This is a case study in the numerical analysis of intra- and interspecific differences in isoelectric focused proteins. The proteins are epidermal keratin monomers extracted and characterized by relatively novel porocedures. The numerical analysis of the biochemical data by principal component analysis indicates the relatives similarity of the populations whilst Wagner trees were computed to hypothesize their phylogeny. The character states of the tree nodes (‘ancestors’) are deduced and the phylgenetic tree is fitted directly onto the ordination diagram. In this way evolutionary divargence, convergence and extent of change can be readily visualize. Little convergence exists in this biochemical data set, there being close agreement between the phenetic and phylogenetic analyses. The existence of three species is indicated and this contradicts some facets of the conventional classification.     

Single-stranded conformational polymorphism analysis using automated capillary array electrophoresis apparatuses

We describe a new environment of a single-stranded conformational polymorphism (SSCP) analysis using automated capillary array sequencers (e.g., ABI Prism 3100 and 3700). In this environment, electrophoretic conditions, settings for instrument management, and software for data analysis are adjusted for SSCP analysis. Highly reproducible results are obtained with this new system, and fragments with mutations and/or polymorphisms in different capillaries or different runs can be reliably detected. The relative peak heights between alleles are quantitative and reproducible between runs, and so allele frequencies of single nucleotide polymorphisms can be accurately estimated by a pooled DNA strategy. The method allows unattended, low-cost, and quantitative SSCP analysis using instruments that are widely accessible.     

Approach to analysis of single nucleotide polymorphisms by automated constant denaturant capillary electrophoresis

Melting gel techniques have proven to be amenable and powerful tools in point mutation and single nucleotide polymorphism (SNP) analysis. With the introduction of commercially available capillary electrophoresis instruments, a partly automated platform for denaturant capillary electrophoresis with potential for routine screening of selected target sequences has been established. The aim of this article is to demonstrate the use of automated constant denaturant capillary electrophoresis (ACDCE) in single nucleotide polymorphism analysis of various target sequences. Optimal analysis conditions for different single nucleotide polymorphisms on ACDCE are evaluated with the Poland algorithm. Laboratory procedures include only PCR and electrophoresis. For direct genotyping of individual SNPs, the samples are analyzed with an internal standard and the alleles are identified by co-migration of sample and standard peaks.In conclusion, SNPs suitable for melting gel analysis based on theoretical thermodynamics were separated by ACDCE under appropriate conditions. With this instrumentation (ABI 310 Genetic Analyzer), 48 samples could be analyzed without any intervention. Several institutions have capillary instrumentation in-house, thus making this SNP analysis method accessible to large groups of researchers without any need for instrument modification.     

A screening method for DNA aptamers that bind to␣a␣specific, unidentified protein in tissue samples

Aptamers are oligonucleotide ligands with a high affinity to, and specificity for, various target molecules and they are expected to be powerful tools for proteomic analysis. To select aptamers that bind to a specific unidentified protein in tissues for protein analysis, a screening method was developed using chicken skeletal muscle as a model. Target proteins in the target mixture were separated by electrophoresis and transferred to a membrane, and a DNA library was added onto it. The aptamers that bound to the target protein were visualized by chemiluminescence and collected by cutting out the visualized band. The specific aptamers to the target protein were selected by only one round of selection using this screening, suggesting this screening method might be useful for selecting aptamers for proteome analysis.     

Rapid prenatal testing for human beta-glucuronidase deficiency (MPS VII)

Prenatal diagnosis for the lysosomal storage disorders is typically achieved by enzymatic analysis of the relevant lysosomal enzyme in cultured amniocytes or chorionic villi. While prenatal diagnosis of some genetic diseases can be done by analysis of pertinent metabolites in amniotic fluid, there are few data regarding prenatal diagnosis of lysosomal disorders by enzyme analysis of amniotic fluid. Prenatal diagnosis by enzyme analysis of amniotic fluid has the potential advantage of providing a more rapid prenatal test result. In this study we describe an assay for the prenatal diagnosis of the mucopolysaccharidosis beta-glucuronidase deficiency (MPS VII; MIM #253220) using amniotic fluid and we confirm its reliability in detecting an affected fetus in an at-risk pregnancy by enzyme analysis of cultured amniocytes and fetal fibroblasts. Because MPS VII is rare and few instances of prenatal diagnosis for this and nearly all other lysosomal disorders have been accomplished by enzyme analysis of amniotic fluid, confirmation of results obtained from enzyme analysis of amniotic fluid should be carried out by enzyme or mutation analysis using cultured amniocytes or chorionic villus specimens.     

Steady state and (bi-) stability evaluation of simple protease signalling networks

Signal transduction networks are complex, as are their mathematical models. Gaining a deeper understanding requires a system analysis. Important aspects are the number, location and stability of steady states. In particular, bistability has been recognised as an important feature to achieve molecular switching. This paper compares different model structures and analysis methods particularly useful for bistability analysis.The biological applications include proteolytic cascades as, for example, encountered in the apoptotic signalling pathway or in the blood clotting system. We compare three model structures containing zero-order, inhibitor and cooperative ultrasensitive reactions, all known to achieve bistability. The combination of phase plane and bifurcation analysis provides an illustrative and comprehensive understanding of how bistability can be achieved and indicates how robust this behaviour is.Experimentally, some so-called “inactive” components were shown to have a residual activity. This has been mostly ignored in mathematical models. Our analysis reveals that bistability is only mildly affected in the case of zero-order or inhibitor ultrasensitivity. However, the case where bistability is achieved by cooperative ultrasensitivity is severely affected by this perturbation.     

An information system for analyzing the need for examining certain aspects of radiologic contamination caused by the Czernobyl catastrophe]

In this paper we briefly report a set of programming tools designed to support the analysis of some aspects of radiological contamination caused by Tchernobyl catastrophe. First of all a system for data storing is characterized; after mentioning basic data structures, two mutations of this system are described (one version for data collected during a pilot study and the second for the main investigation). Next the problems of data analysis are discussed. Again we distinguish between pilot and main analysis. A simple query language is introduced and the procedures for coding some variables are mentioned. Lastly the problems and difficulties arising during the whole analysis are specified.     

Tissue proteomics using chemical immobilization and mass spectrometry

Proteomics analysis is important for characterizing tissues to gain biological and pathological insights, which could lead to the identification of disease-associated proteins for disease diagnostics or targeted therapy. However, tissues are commonly embedded in optimal cutting temperature medium (OCT) or are formalin-fixed and paraffin-embedded (FFPE) in order to maintain tissue morphology for histology evaluation. Although several tissue proteomic analyses have been performed on FFPE tissues using advanced mass spectrometry (MS) technologies, high-throughput proteomic analysis of OCT-embedded tissues has been difficult due to the interference of OCT in the MS analysis. In addition, molecules other than proteins present in tissues further complicate tissue proteomic analysis. Here, we report the development of a method using chemical immobilization of proteins for peptide extraction (CIPPE). In this method, proteins are chemically immobilized onto a solid support; interferences from tissues and OCT embedding are removed by extensive washing of proteins conjugated on the solid support. Peptides are then released from the solid phase by proteolysis, enabling MS analysis. This method was first validated by eliminating OCT interference from a standard protein, human serum albumin, where all of the unique peaks contributed by OCT contamination were eradicated. Finally, this method was applied for the proteomic analysis of frozen and OCT-embedded tissues using iTRAQ (isobaric tag for relative and absolute quantitation) labeling and two-dimensional liquid chromatography tandem mass spectrometry. The data showed reproducible extraction and quantitation of 10,284 proteins from 3996 protein groups and a minimal impact of OCT embedding on the analysis of the global proteome of the stored tissue samples.     

植物多细胞网络分析研究进展

多细胞网络分析是一种可用于分析细胞空间结构的方法。器官的功能是由组成它们的细胞决定的,细胞空间排列赋予了器官更高层面的功能。目前关于植物细胞的空间排列结构是如何影响器官的机理仍然知之甚少。通过对植株进行3D扫描提取细胞网络模型用于多细胞网络分析,可深入揭示植物发育机制,并为人工合成植物多细胞系统提供参考。本文回顾了多细胞模型的发展历程,总结了多细胞网络分析的流程,并阐述了多细胞网络分析在植物生长发育中的发展与应用。此外,本文还对植物多细胞网络分析未来的发展趋势进行了展望。     

Identifying key factors using λ contribution analysis

1. Key factor analysis is widely used as the first step in analysing census data to identify factors responsible for population change, but is generally considered to be flawed. The conceptual problems can be overcome by assessing the effects of variation in the life-history parameters on population growth rate, λ. We refer to this as λ-contribution analysis. The difference from key factor analysis is that now each life history parameter is weighted by the sensitivity of λ to that parameter. The rationale for this modification is that population growth rate is the best available measure of population change.
2. The advantages of the new method are: that it correctly assesses the effects of life history parameters on population growth rate; that birth rates are included in the analysis in a natural way without making arbitrary assumptions about birth rate mortalities; that post-reproductive individuals who do not contribute to population growth rate are zero-weighted; and that the analysis can be applied to populations with overlapping generations.
3. It is proposed that λ-contribution analysis should replace conventional key-factor analysis as the first step in a wider analysis of population change and density dependence. λ-contribution analysis also links census studies of natural populations with the use of life-table response experiments.     

Analysis of Rates Using a Generalized Poisson Regression Model

In this paper a generalization of the Poisson regression model indexed by a shape parameter is proposed for the analysis of life table and follow-up data with concomitant variables. The model is suitable for analysis of extra-Poisson variation data. The model is used to fit the survival data given in Holford (1980). The model parameters, the hazard and survival functions are estimated by the method of maximum likelihood. The results obtained from this study seem to be comparable to those obtained by Chen (1988). Approximate tests of the dispersion and goodness-of-fit of the data to the model are also discussed.