色谱技术在蛋白质组学研究中的应用引言

蛋白质组是指一个有机体的基因组所表达的全部蛋白质。蛋白质组学是研究有机体蛋白质的组成及其变化规律的科学。蛋白质组成的高度复杂性和随时间、空间变化的特点,对蛋白质组的研究技术和方法提出了巨大挑战。色谱作为现代分离科学的核心技术之一,在蛋白质组研究中发挥了重要作用。我们可以通过对组织、细胞或体液中成千上万种蛋白质/多肽的色谱预分离,降低样本的复杂程度,提高蛋白质的鉴定率;我们可以通过亲和色谱对翻译后修饰的蛋白质/多肽进行特异性富集分离,去除非修饰的蛋白质/多肽,实现修饰蛋白的成功鉴定;我们还可以通过色谱 质谱联用技术,获得蛋白质/多肽在色谱分离中的保留时间或峰面积,实现蛋白质的规模化定量与鉴定等。 为了集中展示我国科学家在色谱技术及其在蛋白质组学研究中的应用方面所取得的成果,《色谱》杂志特此在2010年第2期编辑出版了“色谱技术在蛋白质组学研究中的应用”专栏。我们邀请了在该领域具有突出成绩或学术造诣的部分专家、学者撰写了相关的学术论文和综述。希望通过这些文章所介绍的工作,为进一步提高色谱技术在蛋白质组学研究中的应用水平,推动我国蛋白质组学的发展和取得创新性的研究成果作出贡献。     

基于质谱的蛋白质组学技术在神经退行性疾病生物标志物研究中的应用

蛋白质组学是在整体水平上研究细胞、组织或生物体蛋白质组成及变化规律的科学.与传统的生物学研究相比,蛋白质组学具有快速、灵敏、高通量的优点.神经退行性疾病是一类由神经系统内特定神经细胞的进程性病变或丢失而导致神经功能障碍的疾病,严重危害人类健康.近年来,基于质谱的蛋白质组学技术在神经退行性疾病的研究中得到了广泛应用.本文简要介绍了蛋白质组学在样品分离、多肽定量、质谱检测及生物标志物临床验证等方面的技术发展,并结合实例综述了基于质谱的蛋白质组学在神经退行性疾病生物标志物发现与验证中的研究进展.     

化学生物学新前沿——化学蛋白质组学

随着包括人类在内的主要模式生物的基因组计划的完成,生命科学的研究重心转向蛋白质组的研究--在对应基因组的整体蛋白质水平上系统研究调控细胞生命活动的蛋白质.化学蛋白质组学是化学生物学在后基因组时代的最新发展:化学蛋白质组学利用化学小分子为工具和手段,以基于靶蛋白质功能的新战略探测体内蛋白质组,是新一代的功能蛋白质组学.本文综述了化学蛋白质组学的最新进展、有关技术及其在生物医学和药物研发等方面的应用,并对化学蛋白质组学的发展趋势和前景进行了讨论.     

基于多级质谱的蛋白质组定量新方法新技术进展

定量蛋白质组学已经成为蛋白质组学的一个重要分支,以生物质谱为核心的定量蛋白质组方法日益发展。按照定量所依据的质谱信号来源于一级质谱谱图还是多级质谱谱图可以将定量蛋白质组方法分为一级质谱定量和多级质谱定量。本文主要综述基于多级质谱的定量方法和技术进展,分析比较了这些方法的优缺点,并对基于多级质谱的定量方法发展进行了展望。     

分离分析技术在蛋白质组学研究中应用的新进展

蛋白质组学研究的核心技术之一是分离分析方法。该综述重点评述了分离分析技术在蛋白质组学研究,即在蛋白质组表达谱构建、翻译后修饰蛋白质组研究、蛋白质复合体和相互作用研究、蛋白质组定量研究中应用的新进展,介绍了各种分离分析方法的优点、应用范围和有待解决的问题。引用文献89篇。     

高通量蛋白质组学分析研究进展

基于质谱的蛋白质组学技术已经日趋成熟,可以对细胞和组织中的成千上万种蛋白质进行全面的定性和定量分析,逐步实现“深度覆盖”。随着生物医学日益增长的大队列蛋白质组学分析需求,如何在保持较为理想的覆盖深度下实现短时间、快速的“高通量”蛋白质组学分析已成为当前亟需解决的关键问题之一。常规的蛋白质组学分析流程通常包括样品前处理、色谱分离、质谱检测和数据分析。该文从以上4个方面展开介绍近10年以来高通量蛋白质组学分析技术取得的一系列研究进展,主要包括:(1)基于高通量、自动化移液工作站的蛋白质组样品前处理方法;(2)基于微升流速液相色谱与质谱联用的高通量蛋白质组检测方法;(3)利用灵敏度高、扫描速度快的质谱仪实现短色谱梯度分离下蛋白质组深度覆盖的分析方法;(4)基于人工智能、深度神经网络、机器学习等的蛋白质组学大数据分析方法。此外,对高通量蛋白质组学面临的挑战及其发展进行展望。总而言之,预期在不久的将来高通量蛋白质组学技术将会逐步“落地转化”,成为大队列蛋白质组学分析的利器。     

功能材料在蛋白质组研究中的应用进展

随着对蛋白质组鉴定深度、定量准确性及分析速度越来越高的要求,对蛋白质组学方法的研发提出了新的挑战。为了应对这些挑战,传统的蛋白质组学方法因其灵敏度低、准确性差以及耗时长等不足已经难以满足蛋白质组学研究领域不断提出的新需求。而将通过光、电、磁、热、化学、生化等作用合成具有特定功能的材料用于蛋白质组的研究,可以克服传统蛋白质组学分析技术的局限性,为蛋白质组学研究起到促进作用。该文对功能材料在蛋白质组研究中应用的新进展进行综述。     

基于生物质谱的定量蛋白质组学研究进展

随着蛋白质组研究和生物质谱技术的发展,大规模的蛋白质组相对定量和绝对定量已经成为了解生命活动进程、疾病发生发展过程以及生物标志物筛选和验证的重要策略,并形成蛋白质组学研究领域的一个重要分支：定量蛋白质组学.综述了近年来定量蛋白质组学的研究进展,并对其中的关键技术进行讨论.     

定量蛋白质组学分析方法

精确测量多个不同生理或病理条件下生物样本中蛋白质表达量的变化是定量蛋白质组学(quantitative proteomics)研究的重要内容。与传统的蛋白质定量方法(见表1)相比,组学规模的蛋白质定量可以实现在一次实验中对成百上千个蛋白质的定量测定和比较分析,为规模化发现和验证疾病诊断的生物标志物以及发展新的药物靶标提供了重要手段。     

细胞蛋白质组学和代谢组学整合策略表征散斑型BTB/POZ蛋白质突变调控的关键代谢通路

散斑型BTB/POZ蛋白（SPOP）是前列腺癌中突变率最高的蛋白质之一。该研究通过整合细胞蛋白质组学和代谢组学的方法，揭示SPOP突变引起的代谢紊乱及其调控的代谢通路。首先，系统地研究了LNCaP SPOP野生型及突变型高表达细胞中的代谢变化。代谢组学结果显示，SPOP野生型和突变型（SPOP_Y87N和SPOP_F133L）导入的LNCaP细胞在偏最小二乘法判别分析（PLS-DA）得分图上得到了很好的区分。进一步通过单因素方差分析发现，SPOP突变引起富马酸、苹果酸、柠檬酸、天冬氨酸和天冬酰胺等代谢物含量的增加。蛋白质组学共发现909种蛋白质在两种LNCaP SPOP突变体细胞中发生变化。分别对差异代谢物和差异蛋白质进行通路富集分析，发现三羧酸循环、氨酰基-转运核糖核酸生物合成在代谢组学和蛋白质组学分析中都发生了明显改变。最后，在SPOP敲除的Du145细胞中验证了上述研究结果。该研究证明SPOP突变可促进三羧酸循环。     

Evaluation of sample fractionation using micro-scale liquid-phase isoelectric focusing on mass spectrometric identification and quantitation of proteins in a SILAC experiment

Mass spectrometric methods based on stable isotopes have shown great promise for identification and quantitation of complex mixtures. Stable isotope labelling by amino acids in cell culture (SILAC) is a straightforward and accurate procedure for quantitation of proteins from cell lines, that are cultured in media containing the natural amino acid or its isotopically labelled analogue, giving rise to either 'light' or 'heavy' proteins. The two cell populations are pooled and treated as a single sample, which allows the use of various protein purification methods without introducing errors into the quantitative analysis. The quantitation of the proteins is based on the intensities of the light and heavy peptides. The increased number of peptides in a quantitative experiment arising from peptide pairs implies that prefractionation is critical prior to liquid chromatography/mass spectrometric (LC/MS) analysis to minimise signal suppression effects and errors in measurements of the intensity ratios. In this study, the effect of a prefractionation step on identification and quantitation of proteins in a SILAC experiment was evaluated. We show that micro-scale liquid-phase isoelectric focusing in the Micro Rotofor separates proteins into well-defined fractions and reduces the sample complexity. Furthermore, the fractionation enhanced the number of identified proteins and improved their quantitation.     

Towards global analysis of mammalian proteomes using sample prefractionation prior to narrow pH range two-dimensional gels and using one-dimensional gels for insoluble and large proteins.

The number of unique protein species in proteomes from a single mammalian cell type is not well defined but is likely to be at least 10000-20000. Since standard-size two-dimensional gels typically resolve only about 1500 to 3000 spots, they merely analyze a small portion of these proteomes. In addition, all insoluble proteins and typically proteins > 100 kDa are seldom resolved on two-dimensional (2-D) gels. The current study demonstrates the feasibility of an overall strategy for more comprehensive quantitative comparisons of complex proteomes derived from physiological fluids or mammalian cell extracts. A key feature of this approach is to prefractionate samples into a few well-resolved fractions based on the proteins' isoelectric points (pIs) using microscale solution isoelectric focusing. These fractions are then separated on narrow pH range two-dimensional gels approximately +/- 0.1 pH unit wider than the prefractionated pool. When this prefractionation approach is applied to complex mammalian proteomes, it improves resolution and spot recovery at high protein loads compared with use of parallel narrow pH range gels without prefractionation. The minimal cross-contamination between fractions allows quantitative comparisons in contrast to most alternative prefractionation methods. In addition, complementary data can be obtained by parallel analysis of the solubilized fraction on high-resolution large-pore-gradient one-dimensional gels followed by mass spectrometric identification to analyze proteins between 100 and approximately 500 kDa. Similarly, insoluble proteins can be analyzed using large-pore gels for large proteins and 10-12% one-dimensional sodium dodecyl sulfate (SDS) gels for smaller proteins. Together, these strategies should permit more reliable quantitative comparisons of complex mammalian proteomes where detection of at least 10000 protein spots is needed in order to analyze the majority of the unique protein species.     

A label-free differential proteomic analysis of mouse bronchoalveolar lavage fluid exposed to ultrafine carbon black

Ultrafine carbon black (ufCB) is a potential hazard to the lung. It causes changes in protein expression and it increases alveolar-capillary permeability in the lung. Label-free quantitative proteomic methods allow a sensitive and accurate analytical method for identifying and quantifying proteins in a protein mixture without chemically modifying the proteins. We used a label-free quantitative proteomic approach that combined and aligned LC-MS and LC-MS/MS spectra to analyze mouse bronchoalveolar lavage fluid (BALF) protein changes associated with exposure to ufCB. We developed a simple normalization method for quantification without spiking the internal standard. The intensities of unchanged peptides were used as normalization factors based on a statistical method to avoid the influence of peptides changed because of ufCB. LC-MS/MS spectra and then database searching were used to identify proteins. The relative abundances of the aligned peptides of identified proteins were determined using LC-MS spectra. We identified 132 proteins, of which 77 are reported for the first time. In addition, the expression of 15 inflammatory proteins and surfactant-associated proteins was regulated (i.e., 7 upregulated and 8 downregulated) compared with the controls. Several proteins not previously reported provide complementary information on the proteins present in mouse BALF, and they are potential biomarkers for the understanding of mechanisms involved in ufCB-induced lung disorders hypothesize that using the label-free quantitative proteomic approach introduced here is well suited for more rigorous, large-scale quantitative analysis of biological samples. We hypothesize that this label-free quantitative proteomic approach will be suited for a large-scale quantitative analysis of biological samples.     

Characterization of quinoa seed proteome combining different protein precipitation techniques: Improvement of knowledge of nonmodel plant proteomics

A shotgun proteomics approach was used to characterize the quinoa seed proteome. To obtain comprehensive proteomic data from quinoa seeds three different precipitation procedures were employed: MeOH/CHCl₃/double‐distilled H₂O, acetone either alone or with trichloroacetic acid; the isolated proteins were then in‐solution digested and the resulting peptides were analyzed by nano‐liquid chromatography coupled to tandem mass spectrometry. However, since quinoa is a nonmodel plant species, only a few protein sequences are included in the most widely known protein sequence databases. To improve the data reliability a UniProt subdatabase, containing only proteins of Caryophillales order, was used. A total of 352 proteins were identified and evaluated both from a qualitative and quantitative point of view. This combined approach is certainly useful to increase the final number of identifications, but no particular class of proteins was extracted and identified in spite of the different chemistries and the different precipitation protocols. However, with respect to the other two procedures, from the relative quantitative analysis, based on the number of spectral counts, the trichloroacetic acid/acetone protocol was the best procedure for sample handling and quantitative protein extraction. This study could pave the way to further high‐throughput studies on Chenopodium Quinoa.     

Temperature-programmed desorption as a tool for quantification of protein adsorption capacity in micro- and nanoporous materials

The protein adsorption capacity of porous sorbents is generally obtained by measuring the concentration of proteins desorbed from the materials after treatment by a detergent, or by measuring the decrease of protein concentration in the solution. These methods have some drawbacks and often lead to a low precision in the determination of the adsorption capacities. We describe in this paper a new method that allows to directly quantify the amount of proteins adsorbed on porous materials. This method is based on the quantitative analysis by mass spectrometry of some low mass gaseous species which evolve from the biomolecules during the heat treatment of a temperature-programmed desorption analysis (TPD-MS). The method has been applied to bovine serum albumin and cytochrome C adsorbed on an activated carbon. The adsorption uptake of the proteins on the carbon material could be measured by this direct analysis. A comparison with the depletion method was done, it shows that the two methods are complementary. The depletion method allows a determination of the total adsorption capacity, while the TPD-MS method focus on irreversible capacity.     

Quantitation of human leukocyte proteins after silver staining: a study with two-dimensional electrophoresis.

The quantitative attributes of human leukocyte proteins detected by silver staining two-dimensional electrophoresis (2-DE) gels were studied by using computer-assisted data analysis. Experiments included (a) analysis of replicate patterns of the same sample, (b) analysis of different dilutions of the same sample, and (c) analysis of samples from different individuals. Over 200 proteins were observed to have coefficients of variation (CV) less than or equal to 15% when data from replicate patterns were analyzed. In contrast, 8 proteins had CV values of less than or equal to 15% when data from different samples were analyzed. The dilution experiment showed that a majority of the proteins detected with some consistency (i.e., observed in at least 80% of the patterns) have a linear relationship between the amount of protein loaded onto a 2-DE gel and the spot volume in the final 2-DE pattern. The slope of the curves and the deviation from linearity were found to be quite protein-specific. These results indicate that optimization of sample purity and minimization of staining protocol variables are required to limit the background quantitative variability between and within 2-DE runs to a level that will allow detection of quantitative changes indicative of biological responses.     

De novo prediction of the elemental composition of peptides and proteins based on a single mass

Identification of peptides and proteins is a common task in mass spectrometry–based proteomics but often fails to deliver a comprehensive list of identifications. Downstream analysis, quantitative or qualitative, depends on the outcome of this process. Despite continuous improvement of computational methods, a large fraction of the screened peptides and/or proteins remains unidentified. We introduce here pacMASS, a method that de novo predicts the elemental composition of peptides and small proteins based on a single accurate mass, ie, the observed monoisotopic or average mass. This novel approach returns in a fast and memory efficient manner a limited number of elemental compositions per queried peptide or protein.     

Solidified liquid layer model makes quartz crystal microbalance a convenient molecular ruler

The applications of quartz crystal microbalance (QCM) in biointerfaces are limited by its quantitative ambiguities caused by viscoelasticity and solution effects. Although many studies clearly indicated that the quantitative interpretation of QCM data needed caution, none of those studies provided a practical solution that enabled general and quantitative interpretation of QCM data. Recently we proposed a "solidified liquid layer" model that enabled QCM to be used as a biomolecular ruler. Here we applied five kinds of proteins with significant differences in their sizes and shapes to further validate this model. The effective thickness (T(eff)) of surface immobilized, hydrated proteins were 10.2, 4.7, 1.8 and 4.8 nm for rabbit IgG, streptavidin, lysozyme, and bovine serum albumin, respectively. The critical number of stakes needed for the formation of a solidified liquid layer was found to be protein dependent. We believed this "solidified liquid layer" model will facilitate the popularization of QCM as a valuable tool in biointerface studies, such as protein adsorption process or the conformational change on surface.     

Determination of proteins by fluorescence quenching of Magdala Red

Magdala Red (MR) binding to protein causes a decrease in the fluorescence intensity of MR at 556 nm. Based on this, a new quantitative determination method for proteins is developed. The linear range of this assay is 0.1-4.0 microg ml(-1) of Bovine Serum albumin (BSA). The measurements can be made easily on a common fluorimeter. The reaction between MR and proteins is completed in 1 min, and the fluorescence intensity is stable for at least 2 h. There is little or no interference from amino acids and most metal ions. The proposed method has been applied to the determination of protein in milk powder and soybean milk powder and the results are in agreement with the results by the other methods.