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1.
The in‐depth analysis of complex proteome samples requires fractionation of the sample into subsamples prior to LC‐MS/MS in shotgun proteomics experiments. We have established a 3D workflow for shotgun proteomics that relies on protein separation by 1D PAGE, gel fractionation, trypsin digestion, and peptide separation by in‐gel IEF, prior to RP‐HPLC‐MS/MS. Our results show that applying peptide IEF can significantly increase the number of proteins identified from PAGE subfractionation. This method delivers deeper proteome coverage and provides a large degree of flexibility in experimentally approaching highly complex mixtures by still relying on protein separation according to molecular weight in the first dimension. 相似文献
2.
McQueen P Spicer V Rydzak T Sparling R Levin D Wilkins JA Krokhin O 《Proteomics》2012,12(8):1160-1169
We have developed a real-time graphic-processor-unit-based search engine capable of high-quality peptide identifications in <500 μs per spectrum. The steps of peptide/protein identification, in-silico prediction of all possible tryptic peptides from these proteins, and the prediction of their expected retention times and m/z values take less than 5 s per cycle over ～3000 MS/MS spectra. This lays the foundation for information-dependent acquisition with exclusion lists generated on-the-fly, as the instrument continues to acquire data. While a complete evaluation of the dynamic exclusion system requires the participation from instrument vendors, we conducted a series of model experiments using a whole cell tryptic digestion of the bacterium Clostridium thermocellum. We ran a series of five iterative LC-MS/MS runs, adding a new exclusion list at each of four chromatographic \"tripping points\" - the elution times of the four standard peptides spiked into the sample. Retention times of these standard peptides were also used for real-time \"chromatographic calibration.\" The dynamic exclusion approach gave a ≈ 5% increase in confident protein identification (for typical 2 h LC-MS/MS run), and reduced the average number of identified peptides per protein from 4.7 to 2.9. Its application to a two-times shorter gradient gave a ≈ 17% increase in proteins identified. Further improvements are possible for instruments with better mass accuracy, by employing a more accurate retention prediction algorithm and by developing better understanding of the possible chemical modifications and fragmentations produced during electrospray ionization. 相似文献
3.
James C. Wright Chaoqin Du Qiang Feng Xun Xu Jyoti S. Choudhary Jun Wang 《Proteomics》2014,14(9):1011-1014
Protein identification by MS/MS is an important technique in proteome studies. The Open Mass Spectrometry Search Algorithm (OMSSA) is an open‐source search engine that can be used to identify MS/MS spectra acquired in these experiments. Here, we present a software tool, termed OMSSAPercolator, which interfaces OMSSA with Percolator, a post‐search machine learning method for rescoring database search results. We demonstrate that it outperforms the standard OMSSA scoring scheme, and provides reliable significant measurements. OMSSAPercolator is programmed using JAVA and can be readily used as a standalone tool or integrated into existing data analysis pipelines. OMSSAPercolator is freely available and can be downloaded at http://sourceforge.net/projects/omssapercolator/ . 相似文献
4.
Guilin Li Fawaz Ghali Andrew R. Jones Lukas Käll Shaohang Xu Ruo Zhou Zhe Ren Qiang Feng Xun Xu Jun Wang 《Proteomics》2015,15(17):2916-2920
Liquid chromatography coupled tandem mass spectrometry (LC‐MS/MS) is an important technique for detecting peptides in proteomics studies. Here, we present an open source software tool, termed IPeak, a peptide identification pipeline that is designed to combine the Percolator post‐processing algorithm and multi‐search strategy to enhance the sensitivity of peptide identifications without compromising accuracy. IPeak provides a graphical user interface (GUI) as well as a command‐line interface, which is implemented in JAVA and can work on all three major operating system platforms: Windows, Linux/Unix and OS X. IPeak has been designed to work with the mzIdentML standard from the Proteomics Standards Initiative (PSI) as an input and output, and also been fully integrated into the associated mzidLibrary project, providing access to the overall pipeline, as well as modules for calling Percolator on individual search engine result files. The integration thus enables IPeak (and Percolator) to be used in conjunction with any software packages implementing the mzIdentML data standard. IPeak is freely available and can be downloaded under an Apache 2.0 license at https://code.google.com/p/mzidentml‐lib/ . 相似文献
5.
Friedman DB Andacht TM Bunger MK Chien AS Hawke DH Krijgsveld J Lane WS Lilley KS MacCoss MJ Moritz RL Settlage RE Sherman NE Weintraub ST Witkowska HE Yates NA Turck CW 《Proteomics》2011,11(8):1371-1381
Resource (core) facilities have played an ever-increasing role in furnishing the scientific community with specialized instrumentation and expertise for proteomics experiments in a cost-effective manner. The Proteomics Research Group (PRG) of the Association of Biomolecular Resource Facilities (ABRF) has sponsored a number of research studies designed to enable participants to try new techniques and assess their capabilities relative to other laboratories analyzing the same samples. Presented here are results from three PRG studies representing different samples that are typically analyzed in a core facility, ranging from simple protein identification to targeted analyses, and include intentional challenges to reflect realistic studies. The PRG2008 study compares different strategies for the qualitative characterization of proteins, particularly the utility of complementary methods for characterizing truncated protein forms. The use of different approaches for determining quantitative differences for several target proteins in human plasma was the focus of the PRG2009 study. The PRG2010 study explored different methods for determining specific constituents while identifying unforeseen problems that could account for unanticipated results associated with the different samples, and included (15) N-labeled proteins as an additional challenge. These studies provide a valuable educational resource to research laboratories and core facilities, as well as a mechanism for establishing good laboratory practices. 相似文献
6.
Quantification of LC-MS peak intensities assigned during peptide identification in a typical comparative proteomics experiment will deviate from run-to-run of the instrument due to both technical and biological variation. Thus, normalization of peak intensities across an LC-MS proteomics dataset is a fundamental step in pre-processing. However, the downstream analysis of LC-MS proteomics data can be dramatically affected by the normalization method selected. Current normalization procedures for LC-MS proteomics data are presented in the context of normalization values derived from subsets of the full collection of identified peptides. The distribution of these normalization values is unknown a priori. If they are not independent from the biological factors associated with the experiment the normalization process can introduce bias into the data, possibly affecting downstream statistical biomarker discovery. We present a novel approach to evaluate normalization strategies, which includes the peptide selection component associated with the derivation of normalization values. Our approach evaluates the effect of normalization on the between-group variance structure in order to identify the most appropriate normalization methods that improve the structure of the data without introducing bias into the normalized peak intensities. 相似文献
7.
Roman A. Zubarev 《Proteomics》2013,13(5):723-726
The dynamic range of the cellular proteome approaches seven orders of magnitude—from one copy per cell to ten million copies per cell. Since a proteome's abundance distribution represents a nearly symmetric bell‐shape curve on the logarithmic copy number scale, detection of half of the expressed cellular proteome, i.e. approximately 5000 proteins, should be a relatively straightforward task with modern mass spectrometric instrumentation that exhibits four orders of magnitude of the dynamic range, while deeper proteome analysis should be progressively more difficult. Indeed, metaanalysis of 15 recent papers that claim detection of >5000 protein groups reveals that the half‐proteome analyses currently requires ≈5 h of chromatographic separation, while deeper analyses yield on average ≤20 new proteins per hour of chromatographic gradient. Therefore, a typical proteomics experiment consists of a “high‐content” part, with the detection rate of approximately 1000 proteins/h, and a “low‐content” tail with much lower rate of discovery and respectively, lower cost efficiency. This result calls for disruptive innovation in deep proteomics analysis. 相似文献
8.
Baeumlisberger D Arrey TN Rietschel B Rohmer M Papasotiriou DG Mueller B Beckhaus T Karas M 《Proteomics》2010,10(21):3905-3909
The applicability of the less specific protease elastase for the identification of membrane and cytosolic proteins has already been demonstrated. MALDI as ionization technique particularly favors the detection of basic and to a lesser extent of weakly acidic peptides, whereas neutral peptides often remain undetected. Moreover, peptides below 700 Da are routinely excluded. In the following study, the advantage of additional information gained from tandem mass tag zero labeled peptides and the resultant increase in sequence coverage was evaluated. Through derivatization with tandem mass tag reagents, peptide measurement within the standard mass range of the MALDI reflector mode is achievable due to the mass increase. Compared to the unlabeled sample, peptides exhibiting relatively low molecular masses, pI values or higher hydrophobicity could be identified. 相似文献
9.
Filter-aided sample preparation (FASP) and a new sample preparation method using a modified commercial SDS removal spin column are quantitatively compared in terms of their performance for shotgun proteomic experiments in three complex proteomic samples: a Saccharomyces cerevisiae lysate (insoluble fraction), a Caenorhabditis elegans lysate (soluble fraction), and a human embryonic kidney cell line (HEK293T). The characteristics and total number of peptides and proteins identified are compared between the two procedures. The SDS spin column procedure affords a conservative fourfold improvement in throughput, is more reproducible, less expensive (i.e. requires less materials), and identifies between 30 and 107% more peptides at q≤0.01, than the FASP procedure. The peptides identified by SDS spin column are more hydrophobic than species identified by the FASP procedure as indicated by the distribution of GRAVY scores. Ultimately, these improvements correlate to as great as a 50% increase in protein identifications with two or more peptides. 相似文献
10.
Abdulqader A. Alhaider Nervana Bayoumy Evelyn Argo Abdel G. M. A. Gader David A. Stead 《Proteomics》2012,12(22):3403-3406
11.
Joanna Nynca Georg J. Arnold Thomas Fröhlich Kathrin Otte Andrzej Ciereszko 《Proteomics》2014,14(12):1569-1573
12.
Katharina Nöbauer Karin Hummel Corina Mayrhofer Maike Ahrens Francis M.C. Setyabudi Markus Schmidt‐Heydt Martin Eisenacher Ebrahim Razzazi‐Fazeli 《Proteomics》2017,17(9)
Mass spectrometric identification of proteins in species lacking validated sequence information is a major problem in veterinary science. In the present study, we used ochratoxin A producing Penicillium verrucosum to identify and quantitatively analyze proteins of an organism with yet no protein information available. The work presented here aimed to provide a comprehensive protein identification of P. verrucosum using shotgun proteomics. We were able to identify 3631 proteins in an “ab initio” translated database from DNA sequences of P. verrucosum. Additionally, a sequential window acquisition of all theoretical fragment‐ion spectra analysis was done to find differentially regulated proteins at two different time points of the growth curve. We compared the proteins at the beginning (day 3) and at the end of the log phase (day 12). 相似文献
13.
Helen L. Phillips James C. Williamson Karin A. van Elburg Ambrosius P. L. Snijders Phillip C. Wright Mark J. Dickman 《Proteomics》2010,10(16):2950-2960
The 2‐D peptide separations employing mixed mode reversed phase anion exchange (MM (RP‐AX)) HPLC in the first dimension in conjunction with RP chromatography in the second dimension were developed and utilised for shotgun proteome analysis. Compared with strong cation exchange (SCX) typically employed for shotgun proteomic analysis, peptide separations using MM (RP‐AX) revealed improved separation efficiency and increased peptide distribution across the elution gradient. In addition, improved sample handling, with no significant reduction in the orthogonality of the peptide separations was observed. The shotgun proteomic analysis of a mammalian nuclear cell lysate revealed additional proteome coverage (2818 versus 1125 unique peptides and 602 versus 238 proteins) using the MM (RP‐AX) compared with the traditional SCX hyphenated to RP‐LC‐MS/MS. The MM analysis resulted in approximately 90% of the unique peptides identified present in only one fraction, with a heterogeneous peptide distribution across all fractions. No clustering of the predominant peptide charge states was observed during the gradient elution. The application of MM (RP‐AX) for 2‐D LC proteomic studies was also extended in the analysis of iTRAQ‐labelled HeLa and cyanobacterial proteomes using nano‐flow chromatography interfaced to the MS/MS. We demonstrate MM (RP‐AX) HPLC as an alternative approach for shotgun proteomic studies that offers significant advantages over traditional SCX peptide separations. 相似文献
14.
Juraj Lenco Marek Link Vojtech Tambor Jitka Zaková Lukas Cerveny and Jiri Stulik 《Proteomics》2009,9(10):2875-2882
Proteomics has been shown to significantly contribute to the investigation of the pathogenicity of the extremely infectious bacteria Francisella tularensis. In this study, the authors employed iTRAQ quantitative proteomic analysis in order to monitor alterations in proteomes of F. tularensis ssp. holarctica live vaccine strain and F. tularensis ssp. tularensis SCHU S4 associated with the cultivation at different temperatures or in the stationary phase. Correlated production of the identified proteins studied by the exploratory statistical analysis revealed novel candidates for virulence factors that were regulated in a similar manner to the genes encoded in the Francisella Pathogenicity Island. Moreover, the assessment of the adaptation of live vaccine strain and SCHU S4 strain to the examined stimuli uncovered differences in their physiological responses to the stationary phase of growth. 相似文献
15.
Protein termini play important roles in biological processes, but there have been few methods for comprehensive terminal proteomics. We have developed a new method that can identify both the amino and the carboxyl termini of proteins. The method independently uses two proteases, (lysyl endopeptidase) Lys-C and peptidyl-Lys metalloendopeptidase (Lys-N), to digest proteins, followed by LC-MS/MS analysis of the two digests. Terminal peptides can be identified by comparing the peptide masses in the two digests as follows: (i) the amino terminal peptide of a protein in Lys-C digest is one lysine residue mass heavier than that in Lys-N digest; (ii) the carboxyl terminal peptide in Lys-N digest is one lysine residue mass heavier than that in Lys-C digest; and (iii) all internal peptides give exactly the same molecular masses in both the Lys-C and the Lys-N digest, although amino acid sequences of Lys-C and Lys-N peptides are different (Lys-C peptides end with lysine, whereas Lys-N peptides begin with lysine). The identification of terminal peptides was further verified by examining their MS/MS spectra to avoid misidentifying pairs as termini. In this study, we investigated the usefulness of this method using several protein and peptide mixtures. Known protein termini were successfully identified. Acetylation on N-terminus and protein isoforms, which have different termini, was also determined. These results demonstrate that our new method can confidently identify terminal peptides in protein mixtures. 相似文献
16.
Lee J Jiang W Qiao Y Cho YI Woo MO Chin JH Kwon SW Hong SS Choi IY Koh HJ 《Proteomics》2011,11(3):455-468
To survey protein expression patterns in the reduced culm number (RCN) rice, a comparative shotgun proteomic analysis was conducted. For large-scale protein identification, multidimensional protein identification technology (MudPIT) coupled with pre-fractionation of plant shoot proteins led to the identification of 3004 non-redundant rice proteins. By statistically comparing relative amounts of 1353 reproducibly identified proteins between the RCN rice and the wild-type rice, 44 differentially expressed proteins were detected, where 42 proteins were increased and 2 proteins were decreased in the RCN rice. These proteins appear to have roles in glycolysis, trichloroacetic acid cycle, secondary metabolism, nutrient recycling, and nucleotide metabolism and repair. Consequently, we hypothesized that the RCN rice might fail to maintain sugar nutrient homeostasis. This was confirmed with the observation that the sucrose concentration was increased significantly in the RCN rice compared with the wild-type rice. Also, the RCN rice showed a hypersensitive response to exogenous sucrose treatment. 相似文献
17.
Li N Wu S Zhang C Chang C Zhang J Ma J Li L Qian X Xu P Zhu Y He F 《Proteomics》2012,12(11):1720-1725
In this study, we presented a quality control tool named PepDistiller to facilitate the validation of MASCOT search results. By including the number of tryptic termini, and integrating a refined false discovery rate (FDR) calculation method, we demonstrated the improved sensitivity of peptide identifications obtained from semitryptic search results. Based on the analysis of a complex data set, approximately 7% more peptide identifications were obtained using PepDistiller than using MASCOT Percolator. Moreover, the refined method generated lower FDR estimations than the percentage of incorrect target (PIT) fixed method applied in Percolator. Using a standard data set, we further demonstrated the increased accuracy of the refined FDR estimations relative to the PIT-fixed FDR estimations. PepDistiller is fast and convenient to use, and is freely available for academic access. The software can be downloaded from http://www.bprc.ac.cn/pepdistiller. 相似文献
18.
Farid SG Craven RA Peng J Bonney GK Perkins DN Selby PJ Rajendra Prasad K Banks RE 《Proteomics》2011,11(10):2134-2138
The need to find biomarkers for hepatobiliary diseases including cholangiocarcinoma (CCA) has led to an interest in using bile as a proximal fluid in biomarker discovery experiments, although there are inherent challenges both in its acquisition and analysis. The study described here greatly extends previous studies that have started to characterise the bile proteome. Bile from four patients with hilar CCA was depleted of albumin and immunoglobulin G and analysed by GeLC-MS/MS. The number of proteins identified per bile sample was between 378 and 741. Overall, the products of 813 unique genes were identified, considerably extending current knowledge of the malignant bile proteome. Of these, 268 were present in at least 3 out of 4 patients. This data set represents the largest catalogue of bile proteins to date and together with other studies in the literature constitutes an important prelude to the potential promise of expression proteomics and subsequent validation studies in CCA biomarker discovery. 相似文献
19.
Marina Gay Montserrat Carrascal Marina Gorga Albert Parés Joaquin Abian 《Proteomics》2010,10(2):172-181
HSA solutions account for 14% of the world market for plasma products. Albumin is indicated for reestablishing and maintaining circulatory volume in situations resulting from traumatic shock, surgery, or blood loss. Albumin is also used in extracorporeal liver support devices that perform blood dialysis against this protein. However, the protein composition of therapeutic albumin is only partially known. We performed an exhaustive analysis of albumin composition using a proteomic approach. Low abundance proteins and peptides in these samples were concentrated using a strong anion exchange resin. The absorbed material was eluted with a stepwise gradient of ammonium trifluoroacetate and the protein fraction was digested and analyzed by multidimensional liquid chromatography coupled to ESI‐MS/MS using a linear ion trap. A total of 1219 peptides corresponding to 141 proteins different from albumin were identified with a false discovery rate <1%. Near 50% of these proteins have been described previously as forming part of the albuminome. Some of these proteins are proteases (kallikrein) or protease inhibitors (kininogen and SRPK1) or have relevant functions in cell surface adhesion (selectin, cadherins, and ICAMs) or in immunity and defense (molecules of the complement system and attractin). Characterization of these proteins and peptides is crucial in order to understand the therapeutic and possible deleterious effects of albumin therapies, in which this solution is infused to treat different pathological conditions. 相似文献
20.
The emergence of shotgun proteomics has facilitated the numerous biological discoveries made by proteomic studies. However, comprehensive proteomic analysis remains challenging and shotgun proteomics is a continually changing field. This review details the recent developments in shotgun proteomics and describes emerging technologies that will influence shotgun proteomics going forward. In addition, proteomic studies of integral membrane proteins remain challenging due to the hydrophobic nature in integral membrane proteins and their general low abundance levels. However, there have been many strategies developed for enriching, isolating and separating membrane proteins for proteomic analysis that have moved this field forward. In summary, while shotgun proteomics is a widely used and mature technology, the continued pace of improvements in mass spectrometry and proteomic technology and methods indicate that future studies will have an even greater impact on biological discovery. 相似文献