Low-molecular-weight human serum proteome using ultrafiltration, isoelectric focusing, and mass spectrometry

Identification of the serum proteome is a daunting analytical task due to the complex nature of the sample which has an extremely large dynamic range of protein components. This report addresses this issue by using centrifugal ultrafiltration to enrich the low-molecular-weight (LMW) serum proteome while decreasing the amount of abundant high-molecular-weight proteins. Reduction of the complex nature of the sample was achieved by fractionation of the LMW serum proteins using solution-phase isoelectric focusing (IEF). Multiple enzyme digestions are performed and analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Analysis of the tandem mass spectra resulted in the identification of 262 proteins belonging to LMW serum proteome. Our results demonstrate the effectiveness of this methodology to isolate and identify LMW proteins with improved confidence in the MS data acquired. In addition, our methodology can be combined with other multidimensional chromatography techniques performed on the peptide level to increase the number of identified proteins.     

基于超高效液相色谱-八端口转子阀的微升级预分级系统的建立

复杂生物系统蛋白质组的深度覆盖鉴定得益于近年来快速发展的高效色谱分离和串联质谱分析技术。二维高效液相色谱（2-D HPLC）是实现复杂肽混合物正交分离的有效手段，但其缺点是运行时间长，通常要求肽上样量在毫克级别，且收集时的组分体积大，后续合并流程复杂，而有望替代其的StageTip技术，则由于有限的色谱分离梯度，难以达到充分的正交分离。该文探索了超高效液相色谱（UPLC）和八端口转子阀联用，作为高效、便捷肽段预分离和收集系统的可行性。研究结果显示，将UPLC的高pH反相色谱分馏与在线LC-MS/MS相结合，可以实现高pH和低pH条件下基于肽段不同色谱保留行为的正交互补分离，在蛋白质鉴定方面表现出优越的性能。应用该方法对人肝癌细胞系HepG2进行3次技术重复试验，重复试验间具有非常高的定量重现性（决定系数R²>0.95）。与传统StageTip方法相比，肽段鉴定数提高了23.52%。该分级方法灵活、稳定，能够针对较少的样品开展蛋白质组深度覆盖分析。     

Multi-dimensional liquid chromatography in proteomics—A review

Proteomics is the large-scale study of proteins, particularly their expression, structures and functions. This still-emerging combination of technologies aims to describe and characterize all expressed proteins in a biological system. Because of upper limits on mass detection of mass spectrometers, proteins are usually digested into peptides and the peptides are then separated, identified and quantified from this complex enzymatic digest. The problem in digesting proteins first and then analyzing the peptide cleavage fragments by mass spectrometry is that huge numbers of peptides are generated that overwhelm direct mass spectral analyses. The objective in the liquid chromatography approach to proteomics is to fractionate peptide mixtures to enable and maximize identification and quantification of the component peptides by mass spectrometry. This review will focus on existing multidimensional liquid chromatographic (MDLC) platforms developed for proteomics and their application in combination with other techniques such as stable isotope labeling. We also provide some perspectives on likely future developments.     

Fractionation and identification of metalloproteins from a marine cyanobacterium

Trace metals are essential for the growth of marine cyanobacteria, being required for key cellular processes such as photosynthesis and respiration. Despite this, the metalloproteomes of marine cyanobacteria are at present only poorly defined. In this study, we have probed the major cobalt, iron, manganese, and nickel-binding proteins in the marine cyanobacterium Synechococcus sp. WH8102 by using two different fractionation approaches combined with peptide mass fingerprinting. For the identification of intact metalloproteins, multidimensional native chromatography was used to fractionate the proteome, followed by inorganic mass spectrometry to identify metal-enriched fractions. This approach led to the detection of nickel superoxide dismutase together with its predicted cofactor. We also explored the utility of immobilized metal affinity chromatography (IMAC) to isolate subpopulations of proteins that display affinity for a particular metal ion. We conclude that low-resolution 2D liquid chromatography is a viable fractionation technique to correlate relatively low-abundance metal ions with their few cellular destinations (e.g. Ni), but challenges remain for more abundant metals with multiple destinations such as iron. IMAC has been shown as a useful pre-fractionation technique to screen for proteins with metal-binding capacity, and may become a particularly valuable tool for the identification of metal-trafficking proteins.     

Proteomic profiling of human urinary proteome using nano-high performance liquid chromatography/electrospray ionization tandem mass spectrometry

Urine, a blood filtrate produced by the urinary system, is an ideal bio-sample and a rich source of biomarkers for diagnostic information. Many components in urine are useful in clinical diagnosis, and urinary proteins can be strong indication for many diseases such as proteinuria, kidney, bladder and urinary tract diseases. To enhance our understanding of urinary proteome, the urine proteins were prepared by different sample cleanup preparation methods and identified by nano-high performance liquid chromatography electrospray ionization tandem mass spectrometry followed by peptide fragmentation pattern. The experimental results demonstrated that a total of 2283 peptides, corresponding to 311 unique proteins, were identified from human urine samples, in which 104 proteins with higher confidence levels. The present study was designed to establish optimal techniques to create a proteomic map of normal urinary proteins. Also, a discussion of novel approaches to urine protein cleanup and constituents is given.     

Protein- versus peptide fractionation in the first dimension of two-dimensional high-performance liquid chromatography-matrix-assisted laser desorption/ionization tandem mass spectrometry for qualitative proteome analysis of tissue samples

The availability of robust and highly efficient separation methods represents a major requirement for proteome analysis. This study investigated the characteristics of two different gel-free proteomic approaches to the fractionation of proteolytic peptides and intact proteins, respectively, in a first separation dimension. Separation and mass spectrometric detection by matrix-assisted laser desorption/ionization tandem mass spectrometry (MALDI-MS/MS) were performed at the peptide level in both methods. Bottom-up analysis (BU) was carried out employing well established peptide fractionation in the first separation dimension by strong cation-exchange chromatography (SCX), followed by ion-pair reversed-phase chromatography (IP-RPC) in the second dimension. In the semi-top-down approach (STD), which involved intact protein fractionation in the first dimension, the separation mode in both dimensions was IP-RPC utilizing monolithic columns. Application of the two approaches to the proteome analysis of proteins extracted from a tumor tissue revealed that the BU method identified more proteins (1245 in BU versus 920 in STD) while STD analysis offered higher sequence coverage (14.8% in BU versus 17.5% in STD on average). The identification of more basic and larger proteins was slightly favored in the BU approach, most probably due to higher losses of these proteins during intact protein handling and separation in the STD method. A significant degree of complementarity was revealed by an approximately 33% overlap between one BU and STD replicate, while 33% each of the protein identifications were unique to both methods. In the STD method, peptides obtained upon digestion of the proteins contained in fractions of the first separation dimension covered a broad elution window in the second-dimension separation, which demonstrates a high degree of “pseudo-orthogonality” of protein and peptide separation by IP-RPC in both separation dimensions.     

基于共价色谱分离的含半胱氨酸肽段富集策略

多维色谱分离、串联质谱分析技术已在蛋白质组研究中得到广泛应用。然而生物样品的蛋白质以及全酶切肽段具有高度的复杂性,这严重干扰了蛋白质高通量、规模化的分析。通过标签肽段富集进行样品预分离可以降低体系的复杂程度。本文建立了一种基于共价色谱技术选择性分离富集含半胱氨酸肽的方法,从而降低了样品体系的复杂程度。首先以牛血清白蛋白(BSA)的酶切肽段为模型,对富集条件进行了优化和考察,并在此基础上通过5种蛋白质酶切肽段混合物的富集对该方法进行了验证。结果证明此方法的重现性好,富集效率高,富集特异性好,能有效地富集鉴定含半胱氨酸肽段。所建立的方法在复杂体系的蛋白质组研究中具有广泛的应用前景,为复杂样品的蛋白质高通量、自动化、规模化鉴定和定量研究提供了实用技术。     

Chemically-assisted fragmentation combined with multi-dimensional liquid chromatography and matrix-assisted laser desorption/ionization post source decay, matrix-assisted laser desorption/ionization tandem time-of flight or matrix-assisted laser desorption/ionization tandem mass spectrometry for improved sequencing of tryptic peptides

Derivatization of tryptic peptides using an Ettan CAF matrix-assisted laser desorption/ionization (MALDI) sequencing kit in combination with MALDI-post source decay (PSD) is a fast, accurate and convenient way to obtain de novo or confirmative peptide sequencing data. CAF (chemically assisted fragmentation) is based on solid-phase derivatization using a new class of water stable sulfonation agents, which strongly improves PSD analysis and simplifies the interpretation of acquired spectra. The derivatization is performed on solid supports, ZipTip(microC18, limiting the maximum peptide amount to 5 microg. By performing the derivatization in solution enabled the labeling of tryptic peptides derived from 100 microg of protein. To increase the number of peptides that could be sequenced, derivatized peptides were purified using multidimensional liquid chromatography (MDLC) prior to MALDI sequencing. Following the first dimension strong cation exchange (SCX) chromatography step, modified peptides were separated using reversed-phase chromatography (RPC). During the SCX clean up step, positively charged peptides are retained on the column while properly CAF-derivatized peptides (uncharged) are not. A moderately complex tryptic digest, prepared from six different proteins of equimolar amounts, was CAF-derivatized and purified by MDLC. Fractions from the second dimension nano RPC step were automatically sampled and on-line dispensed to MALDI sample plates and analyzed using MALDI mass spectrometry fragmentation techniques. All proteins in the derivatized protein mixture digest were readily identified using MALDI-PSD or MALDI tandem mass spectrometry (MS/MS). More than 40 peptides were unambiguously sequenced, representing a seven-fold increase in the number of sequenced peptides in comparison to when the CAF-derivatized protein mix digest was analyzed directly (no MDLC-separation) using MALDI-PSD. In conclusion, MDLC purification of CAF-derivatized peptides significantly increases the success rate for de novo and confirmative sequencing using various MALDI fragmentation techniques. This new approach is not only applicable to single protein digests but also to more complex digests and could, thus, be an alternative to electrospray ionization MS/MS for peptide sequencing.     

Linking protein fractionation with multidimensional monolithic reversed-phase peptide chromatography/mass spectrometry enhances protein identification from complex mixtures even in the presence of abundant proteins

Recently, multidimensional shotgun proteomics has proven to be an alternative technology able to identify hundreds of proteins from single samples. Two major limitations of the technology are the presence of high abundance proteins (e.g. RUBISCO in plant leaf tissue) and the enormous number of co-eluting peptides that overstrain the loading and resolving capacity of conventional particle-packed columns as well as the capacity of electrospray ionisation due to ion suppression. Here, the coupling of fast performance liquid chromatography (FPLC) pre-fractionation of an Arabidopsis leaf protein extract and subsequent two-dimensional liquid chromatography/mass spectrometry with improved resolution using a monolithic silica C18 capillary column allowed the identification of 1032 unique proteins in a single 4 mg total protein plant leaf tissue sample. The reassignment of peptide IDs to distinct FPLC protein fractions enhances the identification procedure, especially in the case of present protein isoforms. The proposed strategy is useful to detect proteins otherwise not seen in conventional multidimensional chromatography/mass spectrometry approaches.     

Separation and identification of photosynthetic antenna membrane proteins by high- performance liquid chromatography electrospray ionization mass spectrometry

Functional proteomics of membrane proteins is an important tool for the understanding of protein networks in biological membranes. Nevertheless, structural studies on this part of the proteome are limited. The present review attempts to cover the vast array of methods that have appeared in the last few years for separation and identification of photosynthetic proteins of thylakoid membranes present in chloroplasts, a good model for setting up analytical methods suitable for membrane proteins. The two major methods for the separation of thylakoid membrane proteins are gel electrophoresis and liquid chromatography. Isoelectric focusing in a first dimension followed by denaturing sodium dodecylsulfate polyacrylamide gel electrophoresis (SDS-PAGE) in a second dimension is an effective way to resolve large numbers of soluble and peripheral membrane proteins. However, it is not applicable for isolation of native protein complexes or for the separation of highly hydrophobic membrane proteins. High-performance liquid chromatography (HPLC), on the other hand, is highly suitable for any type of membrane protein separation due to its compatibility with detergents that are necessary to keep the hydrophobic proteins in solution. With regard to the identification of the separated proteins, several methods are available, including immunological and mass spectrometric methods. Besides immunological identification, peptide mass fingerprinting, peptide fragment fingerprinting or intact molecular mass determination by electrospray ionization mass spectrometry (ESI-MS) or matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) have been shown to be very sensitive and effective. In particular, identification of proteins by their intact molecular mass is advantageous for the investigation of numerous biological problems, because it is rapid and reflects the full sequence of the protein and all its posttranslational modifications. However, intact molecular mass determinations of gel-separated membrane proteins are hampered due to the difficulties in extracting the hydrophobic proteins from the gel, whereas HPLC on-line interfaced with ESI-MS enables the rapid and accurate determination of intact molecular masses and consequently an unequivocal protein identification. This strategy can be viewed as a multidimensional separation technique distinguishing between hydrophobicity in the first dimension and between different mass-to-charge ratios in the second dimension, allowing the separation and identification even of isomeric forms.     

Separation with zwitterionic hydrophilic interaction liquid chromatography improves protein identification by matrix‐assisted laser desorption/ionization‐based proteomic analysis

Comprehensive proteomic analyses necessitate efficient separation of peptide mixtures for the subsequent identification of proteins by mass spectrometry (MS). However, digestion of proteins extracted from cells and tissues often yields complex peptide mixtures that confound direct comprehensive MS analysis. This study investigated a zwitterionic hydrophilic interaction liquid chromatography (ZIC‐HILIC) technique for the peptide separation step, which was verified by subsequent MS analysis. Human serum albumin (HSA) was the model protein used for this analysis. HSA was digested with trypsin and resolved by ZIC‐HILIC or conventional strong cation exchange (SCX) prior to MS analysis for peptide identification. Separation with ZIC‐HILIC significantly improved the identification of HSA peptides over SCX chromatography. Detailed analyses of the identified peptides revealed that the ZIC‐HILIC has better peptide fractionation ability. We further demonstrated that ZIC‐HILIC is useful for quantitatively surveying cell surface markers specifically expressed in undifferentiated embryonic stem cells. These results suggested the value of ZIC‐HILIC as a novel and efficient separation method for comprehensive and quantitative proteomic analyses. Copyright © 2009 John Wiley & Sons, Ltd.     

Mapping the human plasma proteome by SCX-LC-IMS-MS

The advent of on-line multidimensional liquid chromatography-mass spectrometry has significantly impacted proteomic analyses of complex biological fluids such as plasma. However, there is general agreement that additional advances to enhance the peak capacity of such platforms are required to enhance the accuracy and coverage of proteome maps of such fluids. Here, we describe the combination of strong-cation-exchange and reversed-phase liquid chromatographies with ion mobility and mass spectrometry as a means of characterizing the complex mixture of proteins associated with the human plasma proteome. The increase in separation capacity associated with inclusion of the ion mobility separation leads to generation of one of the most extensive proteome maps to date. The map is generated by analyzing plasma samples of five healthy humans; we report a preliminary identification of 9087 proteins from 37,842 unique peptide assignments. An analysis of expected false-positive rates leads to a high-confidence identification of 2928 proteins. The results are catalogued in a fashion that includes positions and intensities of assigned features observed in the datasets as well as pertinent identification information such as protein accession number, mass, and homology score/confidence indicators. Comparisons of the assigned features reported here with other datasets shows substantial agreement with respect to the first several hundred entries; there is far less agreement associated with detection of lower abundance components.     

Unveiling the rat urinary proteome with three complementary proteomics approaches

Urine is a suitable biological fluid to look for markers of physiological and pathological processes, including renal and nonrenal diseases. In addition, it is an optimal body sample for diagnosis, because it is easily obtained without invasive procedures and can be sampled in large quantities at almost any time. Rats are frequently used as a model to study human diseases, and rat urine has been analyzed to search for disease biomarkers. The normal human urinary proteome has been studied extensively, but the normal rat urinary proteome has not been studied in such depth. In light of this, we were prompted to analyze the normal rat urinary proteome using three complementary proteomics platforms: SDS‐PAGE separation, followed by LC‐ESI‐MS/MS; 2DE, followed by MALDI‐TOF‐TOF and 2D‐liquid chromatography‐chromatofocusing, followed by LC‐ESI‐Q‐TOF. A total of 366 unique proteins were identified, of which only 5.2% of unique proteins were identified jointly by the three proteomics platforms used. This suggests that simultaneous proteomics techniques provide complementary and nonredundant information. Our analysis affords the most extensive rat urinary protein database currently available and this may be useful in the study of renal physiology and in the search for biomarkers related to renal and nonrenal diseases.     

Urinary protein profiling by liquid chromatography/tandem mass spectrometry: ADAM28 is overexpressed in bladder transitional cell carcinoma

Bladder cancer is the most common urological cancer with higher incidence rate in the endemic areas of Blackfoot disease (BFD) in southern Taiwan. The aim of this study was to utilize the proteomic approach to establish urinary protein patterns of bladder cancer. The experimental results showed that most patients with bladder cancer had proteinuria or albuminuria. The urine arsenic concentrations of bladder cancer patients in BFD areas were significantly higher than those patients from non-BFD areas. In the proteomic analysis, the urinary proteome was identified by nano-high-performance liquid chromatography/electrospray ionization tandem mass spectrometry (nano-HPLC/ESI-MS/MS) followed by peptide fragmentation pattern analysis. We categorized 2782 unique proteins of which 89 proteins were identified with at least three unique matching peptide sequences. Among these 89 proteins, thirteen of them were not found in the control group and may represent proteins specific for bladder cancer. In this study, three proteins, SPINK5, ADAM28 and PTP1, were also confirmed by Western blotting and showed significant differential expression compared with the control group. ADAM28 may be used as a possible biomarker of bladder cancer.     

Recent advances in capillary separations for proteomics

The sequencing of several organisms' genomes, including the human's one, has opened the way for the so-called postgenomic era, which is now routinely coined as "proteomics". The most basic task in proteomics remains the detection and identification of proteins from a biological sample, and the most traditional way to achieve this goal consists of protein separations performed by two-dimensional polyacrylamide gel electrophoresis (2-D PAGE). Still, the 2-D PAGE-mass spectrometry (MS) approach remains lacking in proteome coverage (for proteins having extreme isoelectric points or molecular masses as well as for membrane proteins), dynamic range, sensitivity, and throughput. Consequently, considerable efforts have been devoted to the development of non-gel-based proteome separation technologies in an effort to alleviate the shortcomings in 2-D PAGE while reserving the ability to resolve complex protein and peptide mixtures prior to MS analysis. This review focuses on the most recent advances in capillary-based separation techniques, including capillary liquid chromatography, capillary electrophoresis, and capillary electrokinetic chromatography, and combinations of multiples of these mechanisms, along with the coupling of these techniques to MS. Developments in capillary separations capable of providing extremely high resolving power and selective analyte enrichment are particularly highlighted for their roles within the broader context of a state-of-the-art integrated proteome effort. Miniaturized and integrated multidimensional peptide/protein separations using microfluidics are further summarized for their potential applications in high-throughput protein profiling toward biomarker discovery and clinical diagnosis.     

Linear Multidimensional Liquid Chromatography in Protein Separation

Abstract

The objective of this article is to define, discuss and illustrate the concept of on-line multidimensional liquid chromatography (MDLC) in protein separation. In particular the emphasis of this paper is centered on a special form of on-line MDLC that will be referred to as linear MDLC. Examples of this technique, which involves the coupling of two or more chromatographic columns each employing a different separation mechanism, in both the analytical and preparative mode, are given in order to demonstrate its utility.     

Free flow electrophoresis coupled with liquid chromatography-mass spectrometry for a proteomic study of the human cell line (K562/CR3)

The requirement for prefractionation in proteomic analysis is linked to the challenge of performing such an analysis on complex biological samples and identifying low level components in the presence of numerous abundant housekeeping and structural proteins. The employment of a preliminary fractionation step results in a reduction of complexity in an individual fraction and permits more complete liquid chromatography/mass spectrometry (LC/MS) analysis. Free flow electrophoresis (FFE), a solution-based preparative isoelectric focusing technique, fractionates and enriches protein fractions according to their charge differences and is orthogonal in selectivity to the popular reversed phase high performance liquid chromatography (HPLC) fractionation step. In this paper, we explored the advantages of a combination of FFE and liquid chromatography/mass spectrometry to extend the dynamic range of a proteomic analysis of a complex cell lysate. In this study, the whole cell lysate of a chronic myelogeneous leukemia cell line, K562/CR3, was prefractionated by FFE into 96 fractions spanning pH 3-12. Of these, 35 fractions were digested with trypsin and then analyzed by LC/MS. Depending on the algorithm used for peptide assignment from MS/MS data, at least 319 proteins were identified through database searches. The results also suggested that pI could serve as an additional criterion besides peptide fragmentation pattern for protein identification, although in some cases, a pI shift might indicate post-translational modification. In summary, this study demonstrated that free flow electrophoresis provided a useful prefractionation step for proteomic analysis and when combined with LC/MS allowed the identification of significant number of low level proteins in complex samples.     

多维液相色谱分离技术及其在蛋白质组研究中的应用

对近年来多维液相色谱技术及其在蛋白质组学研究中的应用进行了系统综述。详细描述了由不同液相色谱模式构建的多维液相色谱系统,并介绍了其在蛋白质组表达谱、翻译后修饰、定量等方面的应用。此外,还对多维液相色谱的发展趋势和前景进行了展望。     

Visualization and application of amino acid retention coefficients obtained from modeling of peptide retention

We introduce a method for data inspection in liquid separations of peptides using amino acid retention coefficients and their relative change across experiments. Our method allows for the direct comparison between actual experimental conditions, regardless of sample content and without the use of internal standards. The modeling uses linear regression of peptide retention time as a function of amino acid composition. We demonstrate the pH dependency of the model in a control experiment where the pH of the mobile phase was changed in controlled way. We introduce a score to identify the false discovery rate on peptide spectrum match level that corresponds to the set of most robust models, i.e. to maximize the shared agreement between experiments. We demonstrate the method utility in reversed‐phase liquid chromatography using 24 datasets with minimal peptide overlap. We apply our method on datasets obtained from a public repository representing various separation designs, including one‐dimensional reversed‐phase liquid chromatography followed by tandem mass spectrometry, and two‐dimensional online strong cation exchange coupled to reversed‐phase liquid chromatography followed by tandem mass spectrometry, and highlight new insights. Our method provides a simple yet powerful way to inspect data quality, in particular for multidimensional separations, improving comparability of data at no additional experimental cost.