SPSS方差分析在生物统计的应用

方差分析是生物统计中常采用的一种方法。如何使用统计分析软件进行方差分析来实现对研究结果的快速和科学的处理,获得正确的结论,是生物学研究中重要的一环。本文通过实例介绍了如何使用SPSS(Statistical Package for the Social Science or Statistic Products and Service Solution)数据分析工具进行方差分析的方法;实现了数据分析和处理的快捷、准确和直观;与Excel相比,SPSS的统计分析功能更为强大,既有利于提高数据处理效率,又降低了实验成本。     

A Procedure for Clustering Means of Unequal-Sized Samples in ANOVA

The proposed procedure “SECOLICO” is based on the sequential construction of linear contrasts. After an analysis of variance the procedure is able to classify the treatments represented by mean values of unequal-sized samples made at random into distinguishable groups. For the purpose of illustrating the procedure “SECOLICO” a simplified example is given.     

Application of proteomics in studying bacterial persistence

Introduction: Persisters, a small subpopulation of bacterial cells that can survive antibiotic treatment due to transient growth inhibition, pose a serious threat in clinics. Given the nature of persistence as an emergent property of a biological network, proteomics is well-suited to study this phenomenon.

Areas covered: In this review, we introduce the phenomenon of bacterial persistence, review previous proteomics studies on persisters, discuss challenges in studying persisters by proteomics, and provide future perspectives in applying proteomics to study persisters.

Expert opinion: Despite the potential, there are limited attempts of applying proteomics to study persisters in the literature, partly due to the technical challenges involved. However, with recent advances, such as the discovery of new methods for persister enrichment and isolation, this is the most opportune time to apply proteomics to tackle this high-impact problem of bacterial persistence.     

肾脏蛋白质组学研究进展

随着现代分子生物学及基因工程技术的发展,蛋白质组学的研究有了长足进步。肾脏疾病作为世界范围内常见的重要疾病。针对肾脏结构、功能、病理生理方面的蛋白质组学研究日益受到重视和深入研究。本文综述了近年来蛋白质组学发展的相关重要新兴技术,以及应用这些技术在肾脏结构、功能、生理病理、分子标记物等各领域的肾脏的蛋白质组学取得的主要研究进展。     

基因芯片技术和蛋白质组技术在神经科学中的应用及其研究进展

基因芯片技术和蛋白质组技术是最近发展起来的高通量技术,二者的出现使同时分析神经系统的大量基因的表达和基因产物蛋白质及其相互作用网络成为可能。它们在神经科学中的应用为了解脑功能提供了前所未有的机会。一个典型的基因芯片实验包括：芯片的准备或购买、靶DNA和探针的准备或标记、标记探针与靶DNA的杂交、芯片扫描和影象信息的数据分析。蛋白质组技术较为复杂,包括蛋白质分离、鉴定和信息分析三方面的内容。其中,分离技术多种多样。若分离技术以二维电泳为基础,则该实验通常由以下步骤组成：蛋白质样品的准备、电泳分离、染胶、分离蛋白点的切除、蛋白质的酶解(常用胰蛋白酶)、质谱分析(鉴定)和数据的信息处理。本文综述这两项技术的内容和实验步骤,然后着重叙述它们在神经科学中的应用,讨论其优缺点和面临的挑战,展望其发展前景。     

Using ANOVA for gene selection from microarray studies of the nervous system

Methods are presented for detecting differential expression using statistical hypothesis testing methods including analysis of variance (ANOVA). Practicalities of experimental design, power, and sample size are discussed. Methods for multiple testing correction and their application are described. Instructions for running typical analyses are given in the R programming environment. R code and the sample data set used to generate the examples are available at http://microarray.cpmc.columbia.edu/pavlidis/pub/aovmethods/.     

Self-made frits for nanoscale columns in proteomics

We report here the production of self-made frits for nano-columns. The frits introduce a minor dead volume and can be placed in capillaries with a wide range of diameters (20-250 microm tested) in an extremely simple and low-cost procedure. The obtained columns appear to be comparable to "no-frit" columns with near-ideal chromatographic characteristics. We expect that this frit will be useful for the spotting of gradients onto MALDI plates but also where special ESI set-ups do not allow for "no-frit" solutions.     

Transfusion medicine in the era of proteomics

Blood components (BCs) are highly complex mixtures of plasma proteins and cells. At present, BC and blood derivatives (BDs) quality control is mainly focused on standardized quantitative assessment, providing relatively limited information about products. Unfortunately, during the production, inactivation, and storage processes there is the risk of changes in their integrity, especially at the protein level, which could cause negative effects on transfusion. It is therefore a major challenge to identify significant alterations of these products, and, in this context, proteomics can play a potentially relevant role in transfusion medicine (TM) to assess the protein composition of blood-derived therapeutics, particularly for identifying modified proteins. It can provide comprehensive information about changes occurring during processing and storage of BCs and BDs and can be applied to assess or improve them, therefore potentially enabling a global assessment of processing, inactivation and storage methods, as well as of possible contaminants and neoantigens that may influence the immunogenic capacity of blood-derived therapeutics. Thus, proteomics could become a relevant part of quality-control process to verify the identity, purity, safety, and potency of various blood therapeutics. A more detailed understanding of the proteins found in blood and blood products, and the identification of their interactions, may also yield important information for the design of new small molecule therapeutics and also for future improvements in TM.

Proteomics, together with genomics in the near future, will presumably have an impact on disease diagnosis and prognosis as well as on further advances in the production, pathogen inactivation and storage processes of blood-based therapeutics.     

Discovery of biomarkers for gastric cancer: a proteomics approach

Gastric cancer is the second leading cause of cancer-related deaths worldwide. Although many treatment options exist for patients with gastric tumors, the incidence and mortality rate of gastric cancer are on the rise. The early stages of gastric cancer are non-symptomatic, and the treatment response is unpredictable. This situation is further aggravated by a lack of diagnostic biomarkers that can aid in the early detection and prognosis of gastric cancer and in the prediction of chemoresistance. Moreover, clinical surgical specimens are rarely obtained, and traditional biomarkers of gastric cancer are not very effective. Many studies in the field of proteomics have contributed to the discovery and establishment of powerful diagnostic tools (e.g., ProteinChip array) in the management of cancer. The evolution in proteomic technologies has not only enabled the screening of a large number of samples but also enabled the identification of pathologically significant proteins, such as phosphoproteins, and the quantitation of difference in protein expression under different conditions. Multiplexed assays are used widely to accurately fractionate various complex samples such as blood, tissue, cells, and Helicobacter pylori-infected specimens to identify differentially expressed proteins. Biomarker detection studies have substantially contributed to the areas of secretome, metabolome, and phosphoproteome. Here, we review the development of potential biomarkers in the natural history of gastric cancer, with specific emphasis on the characteristics of target protein convergence.     

生物信息学在蛋白质组学研究中的应用进展

生物信息学是运用数学和信息学方法阐明和解释海量生物学数据所蕴含的生物学意义的重要手段和工具.随着蛋白质组学研究的不断发展和深入,大量的蛋白序列、结构、功能以及互作数据不断产生.面对海量蛋白质组数据的获取、处理、存储以及蛋白质组数据信息的挖掘,生物信息学已成为蛋白组学研究中不可或缺的组成部分.本文结合蛋白质组学的发展历程...     

Stability and reproducibility of simultaneously detected plasma and serum cytokine levels in asymptomatic subjects

Blood levels of cyto- and chemokines might reflect immune deregulations which might be related to lymphomagenesis. Potential utility of stored blood samples of a prospective cohort was evaluated by the effect of different blood sample types and freeze-thaw cycles on analyte levels. Bead-based immunoassays were performed on two fresh samples (serum, citrate and heparin plasma) of 10 asymptomatic adults collected 14 days apart and on aliquots of the first samples which were put through one to three freeze-thaw cycles to measure 11 cytokines, four chemokines and two adhesion molecules. Median coefficients of variation (CVs) of the measured analytes were 20%, 24% and 32% in serum, citrate and heparin plasma, respectively. Strong correlations (rank correlation coefficient 0.74–0.98) were observed between sample types, although small differences in analyte levels were observed for most analytes. Freeze-thaw cycles did not markedly change analyte levels. Our study supports the use of this assay among asymptomatic subjects in epidemiological studies.     

Diffprot - software for non-parametric statistical analysis of differential proteomics data

Mass spectrometry-based global proteomics experiments generate large sets of data that can be converted into useful information only with an appropriate statistical approach. We present Diffprot - a software tool for statistical analysis of MS-derived quantitative data. With implemented resampling-based statistical test and local variance estimate, Diffprot allows to draw significant results from small scale experiments and effectively eliminates false positive results. To demonstrate the advantages of this software, we performed two spike-in tests with complex biological matrices, one label-free and one based on iTRAQ quantification; in addition, we performed an iTRAQ experiment on bacterial samples. In the spike-in tests, protein ratios were estimated and were in good agreement with theoretical values; statistical significance was assigned to spiked proteins and single or no false positive results were obtained with Diffprot. We compared the performance of Diffprot with other statistical tests - widely used t-test and non-parametric Wilcoxon test. In contrast to Diffprot, both generated many false positive hits in the spike-in experiment. This proved the superiority of the resampling-based method in terms of specificity, making Diffprot a rational choice for small scale high-throughput experiments, when the need to control the false positive rate is particularly pressing.     

Accurate measurements of dynamics and reproducibility in small genetic networks

Quantification of gene expression has become a central tool for understanding genetic networks. In many systems, the only viable way to measure protein levels is by immunofluorescence, which is notorious for its limited accuracy. Using the early Drosophila embryo as an example, we show that careful identification and control of experimental error allows for highly accurate gene expression measurements. We generated antibodies in different host species, allowing for simultaneous staining of four Drosophila gap genes in individual embryos. Careful error analysis of hundreds of expression profiles reveals that less than ～20% of the observed embryo‐to‐embryo fluctuations stem from experimental error. These measurements make it possible to extract not only very accurate mean gene expression profiles but also their naturally occurring fluctuations of biological origin and corresponding cross‐correlations. We use this analysis to extract gap gene profile dynamics with ～1 min accuracy. The combination of these new measurements and analysis techniques reveals a twofold increase in profile reproducibility owing to a collective network dynamics that relays positional accuracy from the maternal gradients to the pair‐rule genes.     

Subtle modification of isotope ratio proteomics; an integrated strategy for expression proteomics

Use of minor modification of isotope ratio to code samples for expression proteomics is being investigated. Alteration of (13)C abundance to approximately 2% yields a measurable effect on peptide isotopic distribution and inferred isotope ratio. Elevation of (13)C abundance to 4% leads to extension of isotopic distribution and background peaks across every unit of the mass range. Assessment of isotope ratio measurement variability suggests substantial contributions from natural measurement variability. A better understanding of this variable will allow assessment of the contribution of sequence dependence. Both variables must be understood before meaningful mixing experiments for relative expression proteomics are performed. Subtle modification of isotope ratio ( approximately 1-2% increase in (13)C) had no effect upon either the ability of data-dependent acquisition software or database searching software to trigger tandem mass spectrometry or match MSMS data to peptide sequences. More severe modification of isotope ratio caused a significant drop in performance of both functionalities. Development of software for deconvolution of isotope ratio concomitant with protein identification using LC-MSMS, or any other proteomics strategy, is underway (Isosolv). The identified peptide sequence is then be used to provide elemental composition for accurate isotope ratio decoding and the potential to control for specific amino acid biases should these prove significant. It is suggested that subtle modification of isotope ratio proteomics (SMIRP) offers a convenient approach to in vivo isotope coding of plants and might ultimately be extended to mammals including humans.     

A proteomics approach for the identification of species-specific immunogenic proteins in the Mycobacterium abscessus complex

The Mycobacterium abscessus complex can cause fatal pulmonary disease, especially in cystic fibrosis patients. Diagnosing M. abscessus complex pulmonary disease is challenging. Immunologic assays specific for M. abscessus are not available. In this study seven clinical M. abscessus complex strains and the M. abscessus reference strain ATCC19977 were used to find species-specific proteins for their use in immune assays. Six strains showed rough and smooth colony morphotypes simultaneously, two strains only showed rough mophotypes, resulting in 14 separate isolates. Clinical isolates were submitted to whole genome sequencing. Proteomic analysis was performed on bacterial lysates and culture supernatant of all 14 isolates. Species-specificity for M. abscessus complex was determined by a BLAST search for proteins present in all supernatants. Species-specific proteins underwent in silico B- and T-cell epitope prediction. All clinical strains were found to be M. abscessus ssp. abscessus. Mutations in MAB_4099c as a likely genetic basis of the rough morphotype were found in six out of seven clinical isolates. 79 proteins were present in every supernatant, of which 12 are exclusively encoded by all members of M. abscessus complex plus Mycobacterium immunogenum. In silico analyses predicted B- and T-cell epitopes in all of these 12 species-specific proteins.     

Animal board invited review: advances in proteomics for animal and food sciences

Animal production and health (APH) is an important sector in the world economy, representing a large proportion of the budget of all member states in the European Union and in other continents. APH is a highly competitive sector with a strong emphasis on innovation and, albeit with country to country variations, on scientific research. Proteomics (the study of all proteins present in a given tissue or fluid – i.e. the proteome) has an enormous potential when applied to APH. Nevertheless, for a variety of reasons and in contrast to disciplines such as plant sciences or human biomedicine, such potential is only now being tapped. To counter such limited usage, 6 years ago we created a consortium dedicated to the applications of Proteomics to APH, specifically in the form of a Cooperation in Science and Technology (COST) Action, termed FA1002 – Proteomics in Farm Animals: www.cost-faproteomics.org. In 4 years, the consortium quickly enlarged to a total of 31 countries in Europe, as well as Israel, Argentina, Australia and New Zealand. This article has a triple purpose. First, we aim to provide clear examples on the applications and benefits of the use of proteomics in all aspects related to APH. Second, we provide insights and possibilities on the new trends and objectives for APH proteomics applications and technologies for the years to come. Finally, we provide an overview and balance of the major activities and accomplishments of the COST Action on Farm Animal Proteomics. These include activities such as the organization of seminars, workshops and major scientific conferences, organization of summer schools, financing Short-Term Scientific Missions (STSMs) and the generation of scientific literature. Overall, the Action has attained all of the proposed objectives and has made considerable difference by putting proteomics on the global map for animal and veterinary researchers in general and by contributing significantly to reduce the East–West and North–South gaps existing in the European farm animal research. Future activities of significance in the field of scientific research, involving members of the action, as well as others, will likely be established in the future.     

Utilization of protein intrinsic disorder knowledge in structural proteomics

Intrinsically disordered proteins (IDPs) and proteins with long disordered regions are highly abundant in various proteomes. Despite their lack of well-defined ordered structure, these proteins and regions are frequently involved in crucial biological processes. Although in recent years these proteins have attracted the attention of many researchers, IDPs represent a significant challenge for structural characterization since these proteins can impact many of the processes in the structure determination pipeline. Here we investigate the effects of IDPs on the structure determination process and the utility of disorder prediction in selecting and improving proteins for structural characterization. Examination of the extent of intrinsic disorder in existing crystal structures found that relatively few protein crystal structures contain extensive regions of intrinsic disorder. Although intrinsic disorder is not the only cause of crystallization failures and many structured proteins cannot be crystallized, filtering out highly disordered proteins from structure-determination target lists is still likely to be cost effective. Therefore it is desirable to avoid highly disordered proteins from structure-determination target lists and we show that disorder prediction can be applied effectively to enrich structure determination pipelines with proteins more likely to yield crystal structures. For structural investigation of specific proteins, disorder prediction can be used to improve targets for structure determination. Finally, a framework for considering intrinsic disorder in the structure determination pipeline is proposed.     

植物膜蛋白质组学研究技术现状

植物膜蛋白质组学是当前植物科学研究的热点领域。本文概论了蛋白质组学在植物膜蛋白研究中的应用,包括双向电泳前膜蛋白样品的制备以及植物质膜、液泡膜和其他膜蛋白组分的蛋白质组学研究进展,并介绍了植物膜蛋白质组学相关的数据库,最后对其发展作了展望。