基于质谱的定量蛋白质组学技术发展现状

蛋白质组定量分析技术是支撑蛋白质组学研究的关键技术之一,随着蛋白质组定量分析技术的发展,基于质谱的定量蛋白质组学已成为蛋白质组学研究的重要分支。蛋白质组学定量技术可分为非靶向定量和靶向定量两类,靶向定量技术有MRM和PRM模式,非靶向定量技术有非标记定量和体内外标记定量模式,目前使用最多的同位素标记试剂是i TRAQ和TMT。蛋白质组定量技术按数据采集模式还可分DDA和DIA两类。通过对国内外相关文献收集和分析,系统介绍了蛋白质组质谱定量技术的主要特点和发展现状,旨在为生命科学研究者更好地应用定量蛋白质组学技术提供帮助。     

基于数据非依赖采集的以肽为中心分析算法和软件的研究进展

数据非依赖采集(data-independent acquisition,DIA)是一种高通量、无偏性的质谱数据采集方法,具有定量结果重现性好,对低丰度蛋白质友好的特点,是近年来进行大队列蛋白质组研究的首选方法之一。由于DIA产生的二级谱是混合谱,包含了多个肽段的碎片离子信息,使得蛋白质鉴定和定量更加困难。目前,DIA数据分析方法分为两大类,即以肽为中心和以谱图为中心。其中,以肽为中心的分析方法鉴定更灵敏,定量更准确,已成为DIA数据解析的主流方法。其分析流程包括构建谱图库、提取色谱峰群、特征打分和结果质控4个关键步骤。本文综述了以肽为中心的DIA数据分析流程,介绍了基于此流程的数据分析软件及相关比较评估工作,进一步总结了已有的算法改进工作,最后对未来发展方向进行了展望。     

稳定同位素化学标记结合质谱技术在定量蛋白质组学中的应用

传统的蛋白质组定量策略主要是通过双向凝胶电泳来进行相对定量。由于该方法不能对相对分子质量极高或极低、等电点极酸或极碱和含量低的蛋白质以及膜蛋白质等进行有效分离和检测,所以已不能适应目前蛋白质组研究深入发展的需要。近年来,定量蛋白质组学的发展主要是以同位素亲和标签试剂为代表的、以质谱检测为核心的稳定同位素化学标记方法。稳定同位素化学标记结合质谱技术,使定量蛋白质组的分析更趋简单、准确和快速,具有良好的发展前景。本文对稳定同位素化学标记结合质谱技术在定量蛋白质组学中的研究进展进行了评述。     

基于电感耦合等离子体质谱的蛋白质定量技术研究进展

综述了ICP-MS法应用于蛋白质定量技术方面的研究进展.蛋白质定量研究已成为蛋白质组学研究领域的热点,它是解析生物体蛋白质功能的重要途径.基于同位素标记和生物质谱分析技术是蛋白质定量最常用的方法之一,近年来,随着质谱技术的发展,电感耦合等离子体质谱(ICP-MS)技术成为元素测量的重要手段,这使其在蛋白质定量中具一定的应用前景.     

植物蛋白质组学研究若干重要进展

植物蛋白质组学近年来正从定性向精确定量蛋白质组学的方向发展。国际上近两年发表的约160篇研究论文报道了利用不断改进的双向电泳结合生物质谱技术、多维蛋白质鉴定技术, 以及包括双向荧光差异凝胶电泳、15N体内代谢标记、同位素标记的亲和标签、同位素标记相对和绝对定量等在内的第2代蛋白质组学技术, 对植物组织(器官)与细胞器、植物发育过程和植物响应环境胁迫的蛋白质组特征, 以及植物蛋白质翻译后修饰和蛋白质相互作用等方面的研究成果。该文对上述报道进行总结, 综述了2007年以来植物蛋白质组学若干重要问题研究的新进展。     

同位素稀释法在绝对定量蛋白质组中的研究进展

绝对定量蛋白质组是指基于蛋白质组学方法对细胞、组织或体液中的蛋白质进行绝对量或浓度测定．目前,常用的绝对定量方法主要有基于同位素稀释法的蛋白质组学绝对定量方法和基于质谱数据统计分析的非标记方法．基于同位素稀释法的绝对定量方法是用已知量的同位素标记物对与其混合的样本蛋白质浓度进行测定．常见的同位素标记物包括：由AQUA法、QconCAT法产生的特异性水解肽段,由PSAQ法、Absolute SILAC法产生的标记蛋白和由PrESTs-SILAC法产生的蛋白抗原表位标签．由于同位素稀释法可以对蛋白质进行准确和精确定量,对于临床疾病的诊断和治疗具有明显的现实意义．本文对同位素稀释法在绝对定量蛋白质组中的研究进展及其优缺点和最新应用进行了评述．     

同位素标记相对和绝对定量技术研究进展

定量蛋白质组学是蛋白质研究的前沿学科。目前常用的定量蛋白质组学研究技术有荧光差异凝胶电泳（DIGE）、同位素亲和标记（ICAT）等。同位素标记相对和绝对定量（iTRAQ）技术是近年来最新开发的一种新的蛋白质组学定量研究技术。结合非凝胶串联质谱技术,该技术可对复杂样本、细胞器、细胞裂解液等样本进行相对和绝对定量研究,具有较好的定量效果、较高的重复性,并可对多达四种不同样本同时进行定量分析。本文对 iTRAQ 技术的原理、实验方法及应用进展进行了综述。     

厌氧产氢颗粒污泥蛋白质组分析样品的高效制备方法

【背景】厌氧产氢颗粒污泥比絮状产氢污泥具有更高的生物量、沉降性与反应效率,对颗粒污泥进行蛋白质组学研究,有助于揭示其代谢调控的分子机制,从而对厌氧代谢过程进行优化调控。目前关于产氢颗粒污泥蛋白质组分析样品制备方法的研究尚未见文献报道。革兰氏阳性菌Ethanoligenens harbinense YUAN-3是自凝集产氢发酵细菌,在间歇和连续流培养中可形成自聚集的厌氧颗粒,由于其全基因组信息清楚,可作为模式研究材料对制备方法进行评估。【目的】针对厌氧产氢颗粒污泥的蛋白质组学研究,比较不同蛋白质提取方法进行优化。【方法】分别利用液氮研磨、超声破碎、匀浆破碎对产氢颗粒污泥破碎,比较这3种方法对总蛋白提取量的影响;通过双向电泳比较三氯乙酸(Trichloroacetic acid,TCA)-丙酮沉淀法与苯酚抽提法对总蛋白提取效果的影响;对总蛋白样品分别进行同位素标记相对和绝对定量标记(Isobarictagsforrelativeandabsolutequantification,i TRAQ)、串联质谱标签(Tandemmasstag,TMT)标记以及质谱鉴定。【结果】液氮研磨、超声破碎、匀浆破碎3种破碎方法下总蛋白的提取量分别是对照样品的2.0、3.9与5.2倍。与TCA-丙酮沉淀法相比,苯酚抽提法总蛋白样品在双向电泳图谱上的蛋白质点明显增多,分布均匀,同时其在碱性蛋白端与小分子量蛋白端的蛋白质点也明显增多。质谱分析发现,iTRAQ标记样品与TMT标记样品中分别鉴定到1797个与1644个蛋白,在分子量、等电点、亚细胞定位的各个分布范围内,这些蛋白良好地覆盖了E.harbinenseYUAN-3中各个类型的蛋白。【结论】匀浆破碎与苯酚抽提法联用的总蛋白制备方法更适用于厌氧产氢颗粒污泥,该方法有利于后续的蛋白质双向电泳和定量蛋白质组质谱分析,可作为产氢颗粒污泥以及革兰氏阳性菌总蛋白制备的方法参考。     

高精度相对和绝对定量的等量异位标签在定量蛋白质组学研究中的新进展

蛋白质组学逐渐从定性研究转向定量研究。在定量蛋白质组学技术中,相对和绝对定量的等量异位标签(Isobaric tags for relative and absolute quantitation,iTRAQ)是应用最广泛的技术之一,具有通量高、稳定性强及不受样品来源制约等优点,几乎可以对任意样品进行标记,而且可以同时对多达8个样品进行定量分析,有效地提高了通量。iTRAQ技术不断改进,其定量准确性显著提高,适用的平台越来越多,为微生物、动物、植物、生物医学领域蛋白质及其翻译后修饰组研究创造了条件。文中综述了高精度iTRAQ技术在定量蛋白质组学研究中的最新发展及其应用。     

植物蛋白质组学研究若干重要进展

植物蛋白质组学近年来正从定性向精确定量蛋白质组学的方向发展。国际上近两年发表的约160篇研究论文报道了利用不断改进的双向电泳结合生物质谱技术、多维蛋白质鉴定技术,以及包括双向荧光差异凝胶电泳、幅N体内代谢标记、同位素标记的亲和标签、同位素标记相对和绝对定量等在内的第2代蛋白质组学技术,对植物组织（器官）与细胞器、植物发育过程和植物响应环境胁迫的蛋白质组特征,以及植物蛋白质翻译后修饰和蛋白质相互作用等方面的研究成果。该文对上述报道进行总结,综述了2007年以来植物蛋白质组学若干重要问题研究的新进展。     

Tissue-based absolute quantification using large-scale TMT and LFQ experiments

Relative and absolute intensity-based protein quantification across cell lines, tissue atlases and tumour datasets is increasingly available in public datasets. These atlases enable researchers to explore fundamental biological questions, such as protein existence, expression location, quantity and correlation with RNA expression. Most studies provide MS1 feature-based label-free quantitative (LFQ) datasets; however, growing numbers of isobaric tandem mass tags (TMT) datasets remain unexplored. Here, we compare traditional intensity-based absolute quantification (iBAQ) proteome abundance ranking to an analogous method using reporter ion proteome abundance ranking with data from an experiment where LFQ and TMT were measured on the same samples. This new TMT method substitutes reporter ion intensities for MS1 feature intensities in the iBAQ framework. Additionally, we compared LFQ-iBAQ values to TMT-iBAQ values from two independent large-scale tissue atlas datasets (one LFQ and one TMT) using robust bottom-up proteomic identification, normalisation and quantitation workflows.     

A Compact Quadrupole-Orbitrap Mass Spectrometer with FAIMS Interface Improves Proteome Coverage in Short LC Gradients

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Highlights

• •Increased proteome coverage with Orbitrap Exploris 480 MS and FAIMS using single compensation voltages and short LC gradients.
• •Towards single-cell proteomics with high-sensitivity analysis of 5 ng HeLa with more than 1,000 proteins identified in 5 minutes using FAIMS and DIA.
• •Deep proteome profiling across twelve rat organs tissues by label-free quantitation using DIA compared to TMT-multiplexing and turboTMT acquisition using phi-SDM.
• •Rapid and sensitive phosphoproteomics with automated enrichment using Ti-IMAC magnetic beads and direct DIA analysis.

     

Real-Time Search-Assisted Acquisition on a Tribrid Mass Spectrometer Improves Coverage in Multiplexed Single-Cell Proteomics

In the young field of single-cell proteomics (scMS), there is a great need for improved global proteome characterization, both in terms of proteins quantified per cell and quantitative performance thereof. The recently introduced real-time search (RTS) on the Orbitrap Eclipse Tribrid mass spectrometer in combination with SPS-MS3 acquisition has been shown to be beneficial for the measurement of samples that are multiplexed using isobaric tags. Multiplexed scMS requires high ion injection times and high-resolution spectra to quantify the single-cell signal; however, the carrier channel facilitates peptide identification and thus offers the opportunity for fast on-the-fly precursor filtering before committing to the time-intensive quantification scan. Here, we compared classical MS2 acquisition against RTS-SPS-MS3, both using the Orbitrap Eclipse Tribrid MS with the FAIMS Pro ion mobility interface and present a new acquisition strategy termed RETICLE (RTS enhanced quant of single cell spectra) that makes use of fast real-time searched linear ion trap scans to preselect MS1 peptide precursors for quantitative MS2 Orbitrap acquisition. We show that classical MS2 acquisition is outperformed by both RTS-SPS-MS3 through increased quantitative accuracy at similar proteome coverage, and RETICLE through higher proteome coverage, with the latter enabling the quantification of over 1000 proteins per cell at an MS2 injection time of 750 ms using a 2 h gradient.     

SIMSI-Transfer: Software-Assisted Reduction of Missing Values in Phosphoproteomic and Proteomic Isobaric Labeling Data Using Tandem Mass Spectrum Clustering

Isobaric stable isotope labeling techniques such as tandem mass tags (TMTs) have become popular in proteomics because they enable the relative quantification of proteins with high precision from up to 18 samples in a single experiment. While missing values in peptide quantification are rare in a single TMT experiment, they rapidly increase when combining multiple TMT experiments. As the field moves toward analyzing ever higher numbers of samples, tools that reduce missing values also become more important for analyzing TMT datasets. To this end, we developed SIMSI-Transfer (Similarity-based Isobaric Mass Spectra 2 [MS2] Identification Transfer), a software tool that extends our previously developed software MaRaCluster (© Matthew The) by clustering similar tandem MS2 from multiple TMT experiments. SIMSI-Transfer is based on the assumption that similarity-clustered MS2 spectra represent the same peptide. Therefore, peptide identifications made by database searching in one TMT batch can be transferred to another TMT batch in which the same peptide was fragmented but not identified. To assess the validity of this approach, we tested SIMSI-Transfer on masked search engine identification results and recovered >80% of the masked identifications while controlling errors in the transfer procedure to below 1% false discovery rate. Applying SIMSI-Transfer to six published full proteome and phosphoproteome datasets from the Clinical Proteomic Tumor Analysis Consortium led to an increase of 26 to 45% of identified MS2 spectra with TMT quantifications. This significantly decreased the number of missing values across batches and, in turn, increased the number of peptides and proteins identified in all TMT batches by 43 to 56% and 13 to 16%, respectively.     

Comparative Analyses of Data Independent Acquisition Mass Spectrometric Approaches: DIA,WiSIM‐DIA,and Untargeted DIA

Data‐independent acquisition (DIA) is an emerging technology for quantitative proteomics. Current DIA focusses on the identification and quantitation of fragment ions that are generated from multiple peptides contained in the same selection window of several to tens of m/z. An alternative approach is WiSIM‐DIA, which combines conventional DIA with wide‐SIM (wide selected‐ion monitoring) windows to partition the precursor m/z space to produce high‐quality precursor ion chromatograms. However, WiSIM‐DIA has been underexplored; it remains unclear if it is a viable alternative to DIA. We demonstrate that WiSIM‐DIA quantified more than 24 000 unique peptides over five orders of magnitude in a single 2 h analysis of a neuronal synapse‐enriched fraction, compared to 31 000 in DIA. There is a strong correlation between abundance values of peptides quantified in both the DIA and WiSIM‐DIA datasets. Interestingly, the S/N ratio of these peptides is not correlated. We further show that peptide identification directly from DIA spectra identified >2000 proteins, which included unique peptides not found in spectral libraries generated by DDA.     

基于非数据依赖的鞘脂菌蛋白质组学分析方法的建立

【背景】鞘脂菌是一类可高效降解以菲为代表的多环芳烃有机污染物的菌株,其在环境污染治理及生物技术领域具有广阔的应用前景。【目的】为了优化测试方法,获得更完整的鞘脂菌Sphingobium yanoikuyae SJTF-8在菲胁迫下表达差异的蛋白。【方法】利用数据依赖型及数据非依赖型两种蛋白质组学数据采集方法,比较了鞘脂菌SJTF-8在菲胁迫下蛋白质水平的表达变化。【结果】两种技术方法下共得到580个表达差异蛋白,这些蛋白在细胞代谢、转运和调控等方面发挥一定功能。【结论】数据非依赖性采集(data-independent acquisition,DIA)技术在重复性以及低丰度蛋白的检测上明显好于数据依赖型采集(datadependentacquisition,DDA)技术,因此,DIA在实际可用的表达差异蛋白检出方面具备明显优势,为发现菲胁迫下细胞诱导表达的低丰度调控蛋白提供帮助。     

Systematic comparison of label-free, metabolic labeling, and isobaric chemical labeling for quantitative proteomics on LTQ Orbitrap Velos

A variety of quantitative proteomics methods have been developed, including label-free, metabolic labeling, and isobaric chemical labeling using iTRAQ or TMT. Here, these methods were compared in terms of the depth of proteome coverage, quantification accuracy, precision, and reproducibility using a high-performance hybrid mass spectrometer, LTQ Orbitrap Velos. Our results show that (1) the spectral counting method provides the deepest proteome coverage for identification, but its quantification performance is worse than labeling-based approaches, especially the quantification reproducibility; (2) metabolic labeling and isobaric chemical labeling are capable of accurate, precise, and reproducible quantification and provide deep proteome coverage for quantification; isobaric chemical labeling surpasses metabolic labeling in terms of quantification precision and reproducibility; and (3) iTRAQ and TMT perform similarly in all aspects compared in the current study using a CID-HCD dual scan configuration. On the basis of the unique advantages of each method, we provide guidance for selection of the appropriate method for a quantitative proteomics study.     

基于数据非依赖采集的蛋白质组质谱数据解析方法研究进展

数据非依赖采集（DIA）是蛋白质组学领域近年来快速发展的质谱采集技术，其通过无偏碎裂隔离窗口内的所有母离子采集二级谱图，理论上可实现蛋白质样品的深度覆盖，同时具有高通量、高重现性和高灵敏度的优点。现有的DIA数据采集方法可以分为全窗口碎裂方法、隔离窗口序列碎裂方法和四维DIA数据采集方法（4D-DIA）3大类。针对DIA数据的不同特点，主要数据解析方法包括谱库搜索方法、蛋白质序列库直接搜索方法、伪二级谱图鉴定方法和从头测序方法4大类。解析得到的肽段鉴定结果需要进行可信度评估，包括使用机器学习方法的重排序和对报告结果集合的假发现率估计两个步骤，实现对数据解析结果的质控。本文对DIA数据的采集方法、数据解析方法及软件和鉴定结果可信度评估方法进行了整理和综述，并展望了未来的发展方向。     

A large-scale assay library for targeted protein quantification in renal cell carcinoma tissues

Renal cell carcinoma (RCC) represents 2.2% of all cancer incidences; however, prognostic or predictive RCC biomarkers at protein level are largely missing. To support proteomics research of localized and metastatic RCC, we introduce a new library of targeted mass spectrometry assays for accurate protein quantification in malignant and normal kidney tissue. Aliquots of 86 initially localized RCC, 75 metastatic RCC and 17 adjacent non-cancerous fresh frozen tissue lysates were trypsin digested, pooled, and fractionated using hydrophilic chromatography. The fractions were analyzed using LC-MS/MS on QExactive HF-X mass spectrometer in data-dependent acquisition (DDA) mode. A resulting spectral library contains 77,817 peptides representing 7960 protein groups (FDR = 1%). Further, we confirm applicability of this library on four RCC datasets measured in data-independent acquisition (DIA) mode, demonstrating a specific quantification of a substantially increased part of RCC proteome, depending on LC-MS/MS instrumentation. Impact of sample specificity of the library on the results of targeted DIA data extraction was demonstrated by parallel analyses of two datasets by two pan human libraries. The new RCC specific library has potential to contribute to better understanding the RCC development at molecular level, leading to new diagnostic and therapeutic targets.