SWATH enables precise label‐free quantification on proteome scale

MS‐based proteomics has emerged as a powerful tool in biological studies. The shotgun proteomics strategy, in which proteolytic peptides are analyzed in data‐dependent mode, enables a detection of the most comprehensive proteome (>10 000 proteins from whole‐cell lysate). The quantitative proteomics uses stable isotopes or label‐free method to measure relative protein abundance. The isotope labeling strategies are more precise and accurate compared to label‐free methods, but labeling procedures are complicated and expensive, and the sample number and types are also limited. Sequential window acquisition of all theoretical mass spectra (SWATH) is a recently developed technique, in which data‐independent acquisition is coupled with peptide spectral library match. In principle SWATH method is able to do label‐free quantification in an MRM‐like manner, which has higher quantification accuracy and precision. Previous data have demonstrated that SWATH can be used to quantify less complex systems, such as spiked‐in peptide mixture or protein complex. Our study first time assessed the quantification performance of SWATH method on proteome scale using a complex mouse‐cell lysate sample. In total 3600 proteins got identified and quantified without sample prefractionation. The SWATH method shows outstanding quantification precision, whereas the quantification accuracy becomes less perfect when protein abundances differ greatly. However, this inaccuracy does not prevent discovering biological correlates, because the measured signal intensities had linear relationship to the sample loading amounts; thus the SWATH method can predict precisely the significance of a protein. Our results prove that SWATH can provide precise label‐free quantification on proteome scale.     

Development of a highly automated and multiplexed targeted proteome pipeline and assay for 112 rat brain synaptic proteins

We present a comprehensive workflow for large scale (>1000 transitions/run) label‐free LC‐MRM proteome assays. Innovations include automated MRM transition selection, intelligent retention time scheduling that improves S/N by twofold, and automatic peak modeling. Improvements to data analysis include a novel Q/C metric, normalized group area ratio, MLR normalization, weighted regression analysis, and data dissemination through the Yale protein expression database. As a proof of principle we developed a robust 90 min LC‐MRM assay for mouse/rat postsynaptic density fractions which resulted in the routine quantification of 337 peptides from 112 proteins based on 15 observations per protein. Parallel analyses with stable isotope dilution peptide standards (SIS), demonstrate very high correlation in retention time (1.0) and protein fold change (0.94) between the label‐free and SIS analyses. Overall, our method achieved a technical CV of 11.4% with >97.5% of the 1697 transitions being quantified without user intervention, resulting in a highly efficient, robust, and single injection LC‐MRM assay.     

Comparison of fractionation proteomics for local SWATH library building

For data‐independent acquisition by means of sequential window acquisition of all theoretical fragment ion spectra (SWATH), a reference library of data‐dependent acquisition (DDA) runs is typically used to correlate the quantitative data from the fragment ion spectra with peptide identifications. The quality and coverage of such a reference library is therefore essential when processing SWATH data. In general, library sizes can be increased by reducing the impact of DDA precursor selection with replicate runs or fractionation. However, these strategies can affect the match between the library and SWATH measurement, and thus larger library sizes do not necessarily correspond to improved SWATH quantification. Here, three fractionation strategies to increase local library size were compared to standard library building using replicate DDA injection: protein SDS‐PAGE fractionation, peptide high‐pH RP‐HPLC fractionation and MS‐acquisition gas phase fractionation. The impact of these libraries on SWATH performance was evaluated in terms of the number of extracted peptides and proteins, the match quality of the peptides and the extraction reproducibility of the transitions. These analyses were conducted using the hydrophilic proteome of differentiating human embryonic stem cells. Our results show that SWATH quantitative results and interpretations are affected by choice of fractionation technique. Data are available via ProteomeXchange with identifier PXD006190.     

Improving Protein Detection Confidence Using SWATH‐Mass Spectrometry with Large Peptide Reference Libraries

Protein quantification using data‐independent acquisition methods such as SWATH‐MS most commonly relies on spectral matching to a reference MS/MS assay library. To enable deep proteome coverage and efficient use of existing data, in silico approaches have been described to use archived or publicly available large reference spectral libraries for spectral matching. Since implicit in the use of larger libraries is the increasing likelihood of false‐discoveries, new workflows are needed to ensure high confidence in protein matching under these conditions. We present a workflow which introduces a range of filters and thresholds aimed at increasing confidence that the resulting proteins are reliably detected and their quantitation is consistent and reproducible. We demonstrated the workflow using extended libraries with SWATH data from human plasma samples and yeast‐spiked human K562 cell lysate digest.     

Proteomics Identification and Validation of Desmocollin‐1 and Catechol‐O‐Methyltransferase as Proteins Associated with Breast Cancer Cell Migration and Metastasis

Biological treatment of many cancers currently targets membrane bound receptors located on a cell surface. To identify novel membrane proteins associated with migration and metastasis of breast cancer cells, a more migrating subpopulation of MDA‐MB‐231 breast cancer cell line is selected and characterized. A high‐resolution quantitative mass spectrometry with SILAC labeling is applied to analyze their surfaceome and it is compared with that of parental MDA‐MB‐231 cells. Among 824 identified proteins (FDR < 0.01), 128 differentially abundant cell surface proteins with at least one transmembrane domain are found. Of these, i) desmocollin‐1 (DSC1) is validated as a protein connected with lymph node status of luminal A breast cancer, tumor grade, and Her‐2 status by immunohistochemistry in the set of 96 primary breast tumors, and ii) catechol‐O‐methyltransferase is successfully verified as a protein associated with lymph node metastasis of triple negative breast cancer as well as with tumor grade by targeted data extraction from the SWATH‐MS data of the same set of tissues. The findings indicate importance of both proteins for breast cancer development and metastasis and highlight the potential of biomarker validation strategy via targeted data extraction from SWATH‐MS datasets.     

Combined use of irreversible binding and MRM technology for low‐ and ultralow copy‐number protein detection and quantitation

In this paper, we present a method for the determination of low‐ and ultralow copy‐number proteins in biomaterials based on a combination of concentrating the protein from the sample onto cyanogen bromide‐activated Sepharose 4B (via nonspecific binding of free amino groups) and MRM. The detection limit and the dependence of the MRM peak areas on the concentration of protein in the sample were determined using the proteins CYP102 and BSA, as a model system, both in solution and after their addition to human plasma. Nonspecific protein enrichment of proteins from diluted sample volumes of 10–50 mL was found to increase the range of linear dependence of the chromatographic peak area on concentration by more than three orders of magnitude, allowing a lower LOD limit (LLOD) of as low as 10^?18 M. At this LLOD, at least two tryptic peptides of CYP102 and BSA could be detected with S/N of ≥7.0. The results were equally good for samples containing pure protein mixtures and proteins spiked into diluted depleted human blood plasma.     

Quantitative Proteomics by SWATH‐MS Suggest an Association Between Circulating Exosomes and Maternal Metabolic Changes in Gestational Diabetes Mellitus

Several factors including placental hormones (PH) released from the human placenta have been associated with the development of insulin resistance and gestational diabetes mellitus (GDM). However, circulating levels of PH does not correlate well with maternal insulin sensitivity across gestation, suggesting that other, previously unrecognized, mechanisms may be involved. The levels of circulating exosomes are higher in GDM compared to normal. GDM derived exosomes produce greater release of pro‐inflammatory cytokines from endothelial cells compared to exosomes from normal, suggesting that their contents may differ compared to normal pregnancies. Using a quantitative, information‐independent acquisition (Sequential Windowed Acquisition of All Theoretical Mass Spectra [SWATH]) approach, differentially abundant circulating exosome proteins are identified in women with normal glucose tolerance (NGT) and GDM at the time of GDM diagnosis. A total of 78 statistically significant proteins in the relative expression of exosomal proteins in GDM are compared with NGT. Bioinformatic analysis shows that the exosomal proteins in GDM target pathways are mainly associated with energy production, inflammation, and metabolism. Finally, an independent cohort of patients is used to validate some of the proteins identified by SWATH. The data obtained may be of utility in elucidating the underlying physiological mechanisms associated with insulin resistance in GDM.     

液质联用多反应监测法定量目标多肽或蛋白质

为建立优化的血浆内源性多肽提取方法,并且构建目标多肽和蛋白质的质谱定量方 法,本研究考察了超滤法、有机溶剂沉淀法和固相萃取法对血浆内源性多肽的提取效果 ,并通过Tricine-SDS-PAGE对提取效果进行比较.通过液相色谱串联质谱多反应监测 （MRM）分析,建立了多肽标准品ESAT-6定量方法,并将ESAT-6定量建立的液相色谱和质谱条件应用于蛋白质的定量,对多肽和蛋白质MRM定量的标准曲线进行了考 察.Tricine-SDS-PAGE结果表明,乙腈沉淀法是最佳的血浆内源性多肽提取方法,低分子量的多肽可以得到很好的富集,且能有效地去除高分子蛋白质的污染.液相色谱串联 质谱MRM法检测血浆内提取的多肽,标准曲线的线性较好,相关系数为0.999.另外,采 用MRM法对胶内分离的蛋白质进行定量,标准曲线的线性相关系数为0.995.综上所述, 本研究构建了一种简单有效的血浆多肽提取方法,通过液质联用MRM法成功地实现了目标多肽和蛋白质定量测定.该定量方法可以推广应用于复杂样品中的多肽和蛋白质的定 量分析.     

SWATH‐ID: An instrument method which combines identification and quantification in a single analysis

Data‐independent acquisition (DIA) approaches, such as SWATH^®‐MS, are showing great potential to reliably quantify significant numbers of peptides and proteins in an unbiased manner. These developments have enhanced interest in developing a single DIA method that integrates qualitative and quantitative analysis, eliminating the need of a prebuilt library of peptide spectra, which are created through data‐dependent acquisition methods or from public repositories. Here, we introduce a new DIA approach, referred to as “SWATH‐ID,” which was developed to allow peptide identification as well as quantitation. The SWATH‐ID method is composed of small Q1 windows, achieving better selectivity and thus significantly improving high‐confidence peptide extractions from data files. Furthermore, the SWATH‐ID approach transmits precursor ions without fragmentation as well as their fragments within the same SWATH acquisition period. This provides a single scan that includes all precursor ions within the isolation window as well as a record of all of their fragment ions, substantially negating the need for a survey scan. In this way all precursors present in a small Q1 window are associated with their fragment ions, improving the identification specificity and providing a more comprehensive and in‐depth view of protein and peptide species in complex samples.     

Absolute quantification of Dehalococcoides proteins: enzyme bioindicators of chlorinated ethene dehalorespiration

The quantification of trace proteins in complex environmental samples and mixed microbial communities would be a valuable monitoring tool in countless applications, including the bioremediation of groundwater contaminated with chlorinated solvents. Measuring the concentrations of specific proteins provides unique information about the activity and physiological state of organisms in a sample. We developed sensitive (< 5 fmol), selective bioindicator assays for the absolute quantification of select proteins used by Dehalococcoides spp. when reducing carbon atoms in the common pollutants trichloroethene (TCE) and tetrachloroethene (PCE). From complex whole‐sample digests of two different dechlorinating mixed communities, we monitored the chromatographic peaks of selected tryptic peptides chosen to represent 19 specific Dehalococcoides proteins. This was accomplished using multiple‐reaction monitoring (MRM) assays using nano‐liquid chromatography‐tandem mass spectrometry (nLC‐MS/MS), which provided the selectivity, sensitivity and reproducibility required to quantify Dehalococcoides proteins in complex samples. We observed reproducible peak areas (average CV = 0.14 over 4 days, n = 3) and linear responses in standard curves (n = 5, R² > 0.98) using synthetic peptide standards spiked into a background matrix of sediment peptides. We detected and quantified TCE reductive dehalogenase (TceA) at 7.6 ± 1.7 × 10³ proteins cell^?1 in the KB1^TM bioaugmentation culture, previously thought to be lacking TceA. Fragmentation data from MS/MS shotgun proteomics experiments were helpful in developing the MRM targets. Similar shotgun proteomics data are emerging in labs around the world for many environmentally relevant microbial proteins, and these data are a valuable resource for the future development of MRM assays. We expect targeted peptide quantification in environmental samples to be a useful tool in environmental monitoring.     

Spectral Libraries for SWATH‐MS Assays for Drosophila melanogaster and Solanum lycopersicum

Quantitative proteomics methods have emerged as powerful tools for measuring protein expression changes at the proteome level. Using MS‐based approaches, it is now possible to routinely quantify thousands of proteins. However, prefractionation of the samples at the protein or peptide level is usually necessary to go deep into the proteome, increasing both MS analysis time and technical variability. Recently, a new MS acquisition method named SWATH is introduced with the potential to provide good coverage of the proteome as well as a good measurement precision without prior sample fractionation. In contrast to shotgun‐based MS however, a library containing experimental acquired spectra is necessary for the bioinformatics analysis of SWATH data. In this study, spectral libraries for two widely used models are built to study crop ripening or animal embryogenesis, Solanum lycopersicum (tomato) and Drosophila melanogaster, respectively. The spectral libraries comprise fragments for 5197 and 6040 proteins for S. lycopersicum and D. melanogaster, respectively, and allow reproducible quantification for thousands of peptides per MS analysis. The spectral libraries and all MS data are available in the MassIVE repository with the dataset identifiers MSV000081074 and MSV000081075 and the PRIDE repository with the dataset identifiers PXD006493 and PXD006495.     

蜜环菌菌索分化的差异蛋白质组学研究

菌索是蜜环菌与宿主互作的组织结构,蜜环菌菌丝形成菌索的分子机制尚不清楚.本研究采用SWATH-MSALL非标记定量蛋白质组学技术,首次对Armillaria mellea菌丝形成菌素过程的蛋白质组学进行了系统研究.在蜜环菌菌丝和菌索中共鉴定蛋白1724个(global FDR 1％),定量蛋白1179个.与菌丝相比,蜜...     

Comparison of targeted proteomics approaches for detecting and quantifying proteins derived from human cancer tissues

Targeted mass spectrometry‐based proteomics approaches enable the simultaneous and reproducible quantification of multiple protein analytes across numerous conditions in biology and clinical studies. These approaches involve e.g. selected reaction monitoring (SRM) typically conducted on a triple quadrupole mass spectrometer, its high‐resolution variant named pseudo‐SRM (p‐SRM), carried out in a quadrupole coupled with an TOF analyzer (qTOF), and “sequential window acquisition of all theoretical spectra” (SWATH). Here we compared these methods in terms of signal‐to‐noise ratio (S/N), coefficient of variance (CV), fold change (FC), limit of detection and quantitation (LOD, LOQ). We have shown the highest S/N for p‐SRM mode, followed by SRM and SWATH, demonstrating a trade‐off between sensitivity and level of multiplexing for SRM, p‐SRM, and SWATH. SRM was more sensitive than p‐SRM based on determining their LOD and LOQ. Although SWATH has the worst S/N, it enables peptide multiplexing with post‐acquisition definition of the targets, leading to better proteome coverage. FC between breast tumors of different clinical‐pathological characteristics were highly correlated (R²>0.97) across three methods and consistent with the previous study on 96 tumor tissues. Our technical note presented here, therefore, confirmed that outputs of all the three methods were biologically relevant and highly applicable to cancer research.     

Proteomic applications of protein quantification by isotope-dilution mass spectrometry

Over the decades, isotope-dilution mass spectrometry (IDMS) has been implemented extensively for accurate quantification of drugs, metabolites and peptides in body fluids and tissues. More recently, it has been extended for quantifying specific proteins in complex mixtures. In this extended methodology, proteins are subjected to endoprotease action and specific resultant peptides are quantified by using synthetic stable isotope-labeled standard (SIS) peptides and IDMS. This article outlines the utilities and applications of quantifying proteins by IDMS, emphasizing its complementary value to global survey-based proteomic studies. The potential of SIS peptides to provide quantitative insights into cell signaling is also highlighted, with specific examples. Finally, we propose several novel mass spectrometric data acquisition strategies for large-scale applications of IDMS and SIS peptides in systems biology and protein biomarker validation studies.     

High sensitivity detection of plasma proteins by multiple reaction monitoring of N-glycosites

The detection and quantification of plasma (serum) proteins at or below the ng/ml concentration range are of critical importance for the discovery and evaluation of new protein biomarkers. This has been achieved either by the development of high sensitivity ELISA or other immunoassays for specific proteins or by the extensive fractionation of the plasma proteome followed by the mass spectrometric analysis of the resulting fractions. The first approach is limited by the high cost and time investment for assay development and the requirement of a validated target. The second, although reasonably comprehensive and unbiased, is limited by sample throughput. Here we describe a method for the detection of plasma proteins at concentrations in the ng/ml or sub-ng/ml range and their accurate quantification over 5 orders of magnitude. The method is based on the selective isolation of N-glycosites from the plasma proteome and the detection and quantification of targeted peptides in a quadrupole linear ion trap instrument operated in the multiple reaction monitoring (MRM) mode. The unprecedented sensitivity of the mass spectrometric analysis of minimally fractionated plasma samples is the result of the significantly reduced sample complexity of the isolated N-glycosites compared with whole plasma proteome digests and the selectivity of the MRM process. Precise quantification was achieved via stable isotope dilution by adding (13)C- and/or (15)N-labeled reference analytes. We also demonstrate the possibility of significantly expanding the number of MRM measurements during one single LC-MS run without compromising sensitivity by including elution time constraints for the targeted transitions, thus allowing quantification of large sets of peptides in a single analysis.     

Proteomic applications of protein quantification by isotope-dilution mass spectrometry

Over the decades, isotope-dilution mass spectrometry (IDMS) has been implemented extensively for accurate quantification of drugs, metabolites and peptides in body fluids and tissues. More recently, it has been extended for quantifying specific proteins in complex mixtures. In this extended methodology, proteins are subjected to endoprotease action and specific resultant peptides are quantified by using synthetic stable isotope-labeled standard (SIS) peptides and IDMS. This article outlines the utilities and applications of quantifying proteins by IDMS, emphasizing its complementary value to global survey-based proteomic studies. The potential of SIS peptides to provide quantitative insights into cell signaling is also highlighted, with specific examples. Finally, we propose several novel mass spectrometric data acquisition strategies for large-scale applications of IDMS and SIS peptides in systems biology and protein biomarker validation studies.     

Critical assessment of proteome‐wide label‐free absolute abundance estimation strategies

There is a great interest in reliable ways to obtain absolute protein abundances at a proteome‐wide scale. To this end, label‐free LC‐MS/MS quantification methods have been proposed where all identified proteins are assigned an estimated abundance. Several variants of this quantification approach have been presented, based on either the number of spectral counts per protein or MS1 peak intensities. Equipped with several datasets representing real biological environments, containing a high number of accurately quantified reference proteins, we evaluate five popular low‐cost and easily implemented quantification methods (Absolute Protein Expression, Exponentially Modified Protein Abundance Index, Intensity‐Based Absolute Quantification Index, Top3, and MeanInt). Our results demonstrate considerably improved abundance estimates upon implementing accurately quantified reference proteins; that is, using spiked in stable isotope labeled standard peptides or a standard protein mix, to generate a properly calibrated quantification model. We show that only the Top3 method is directly proportional to protein abundance over the full quantification range and is the preferred method in the absence of reference protein measurements. Additionally, we demonstrate that spectral count based quantification methods are associated with higher errors than MS1 peak intensity based methods. Furthermore, we investigate the impact of miscleaved, modified, and shared peptides as well as protein size and the number of employed reference proteins on quantification accuracy.     

Quantification of C-reactive protein in the serum of patients with rheumatoid arthritis using multiple reaction monitoring mass spectrometry and 13C-labeled peptide standards

A general method for the quantification of proteins in human serum was developed using mass spectrometry (MS) and stable isotope-labeled synthetic peptides as internal standards. Using this approach, C-reactive protein (CRP), a diagnostic marker of rheumatoid arthritis (RA), was detected in serum samples taken from patients with either erosive or nonerosive RA and compared to healthy individuals. Small volumes of serum samples were enriched for low-abundance proteins through the selective removal of human serum albumin (HSA), immunoglobulin G (IgG), and haptoglobin. After depletion of abundant proteins, the complexity of the protein mixture was further simplified using size exclusion chromatography (SEC) to fractionate denatured proteins into discrete molecular weight ranges. Fractions of interest containing CRP, M(r) = 25 000, were pooled, digested with trypsin, and then fixed quantities of the synthetic peptides were added to the mixture. The mixture of tryptic peptides was subsequently analyzed by nanoflow chromatography-tandem MS (nanoLC-MS/MS) using multiple-reaction monitoring (MRM) on a triple quadrupole mass spectrometer (TQ-MS). The ratio of transition ions derived from the endogenous and isotope-labeled peptides provided a quantitative measure of CRP in the original samples as assessed by independent measurement of CRP in the same patient samples using an immunoassay. The use of isotope-labeled synthetic peptides and MRM is a powerful analytical method for the prescreening of candidate protein biomarkers in human serum prior to antibody and immunoassay development.     

Whole cell,label free protein quantitation with data independent acquisition: Quantitation at the MS2 level

Label free quantitation by measurement of peptide fragment signal intensity (MS2 quantitation) is a technique that has seen limited use due to the stochastic nature of data dependent acquisition (DDA). However, data independent acquisition has the potential to make large scale MS2 quantitation a more viable technique. In this study we used an implementation of data independent acquisition—SWATH—to perform label free protein quantitation in a model bacterium Clostridium stercorarium. Four tryptic digests analyzed by SWATH were probed by an ion library containing information on peptide mass and retention time obtained from DDA experiments. Application of this ion library to SWATH data quantified 1030 proteins with at least two peptides quantified (～40% of predicted proteins in the C. stercorarium genome) in each replicate. Quantitative results obtained were very consistent between biological replicates (R² ～ 0.960). Protein quantitation by summation of peptide fragment signal intensities was also highly consistent between biological replicates (R² ～ 0.930), indicating that this approach may have increased viability compared to recent applications in label free protein quantitation. SWATH based quantitation was able to consistently detect differences in relative protein quantity and it provided coverage for a number of proteins that were missed in some samples by DDA analysis.