high-pH Reversed-phase Fractionation Research Articles

Deep Spectral Library of Mice Retina for Myopia Research: Proteomics Dataset generated by SWATH and DIA-NN

The retina plays a crucial role in processing and decoding visual information, both in normal development and during myopia progression. Recent advancements have introduced a library-independent approach for data-independent acquisition (DIA) analyses. This study demonstrates deep proteome identification and quantification in individual mice retinas during myopia development, with an average of 6,263 ± 86 unique protein groups. We anticipate that the use of a predicted retinal-specific spectral library combined with the robust quantification achieved within this dataset will contribute to a better understanding of the proteome complexity. Furthermore, a comprehensive mice retinal-specific spectral library was generated, encompassing a total identification of 9,401 protein groups, 70,041 peptides, 95,339 precursors, and 761,868 transitions acquired using SWATH-MS acquisition on a ZenoTOF 7600 mass spectrometer. This dataset surpasses the spectral library generated through high-pH reversed-phase fractionation by data-dependent acquisition (DDA). The data is available via ProteomeXchange with the identifier PXD046983. It will also serve as an indispensable reference for investigations in myopia research and other retinal or neurological diseases.

Offline Peptide Fractionation and Parallel Reaction Monitoring MS for the Quantitation of Low-Abundance Plasma Proteins.

Mass spectrometry (MS)-based protein quantitation is an attractive means for research and diagnostics due to its high specificity, precision, sensitivity, versatility, and the ability to develop multiplexed assays for the "absolute" quantitation of virtually any protein target. However, due to the large dynamic range of protein concentrations in blood, high abundance proteins in blood plasma hinder the detectability and quantification of lower-abundance proteins which are often relevant in the context of different diseases. Here we outline a streamlined method involving offline high-pH reversed-phase fractionation of human plasma samples followed by the quantitative analysis of specific fractions using nanoLC-parallel reaction monitoring (PRM) on a Q Exactive Plus mass spectrometer for peptide detection and quantitation with increased sensitivity. Because we use a set of synthetic peptide standards, we can more efficiently determine the precise retention times of the target peptides in the first-dimensional separation and specifically collect eluting fractions of interest for the subsequent targeted MS quantitation, making the analysis faster and easier. An eight-point standard curve was generated by serial dilution of a mixture of previously validated unlabeled ("light") synthetic peptides of interest at known concentrations. The corresponding heavy stable-isotope-labeled standard (SIS) analogues were used as normalizers to account for losses during sample processing and analysis. Using this method, we were able to improve the sensitivity of plasma protein quantitation by up to 50-fold compared to using nanoLC-PRM alone.

Optimal analytical strategies for sensitive and quantitative phosphoproteomics using TMT-based multiplexing.

In large-scale quantitative mass spectrometry (MS)-based phosphoproteomics, isobaric labeling with tandem mass tags (TMTs) coupled with offline high-pH reversed-phase peptide chromatographic fractionation maximizes depth of coverage. To investigate to what extent limited sample amounts affect sensitivity and dynamic range of the analysis due to sample losses, we benchmarked TMT-based fractionation strategies against single-shot label-free quantification with spectral library-free data independent acquisition (LFQ-DIA), for different peptide input per sample. To systematically examine how peptide input amounts influence TMT-fractionation approaches in a phosphoproteomics workflow, we compared two different high-pH reversed-phase fractionation strategies, microflow (MF) and stage-tip fractionation (STF), while scaling the peptide input amount down from 12.5 to 1μg per sample. Our results indicate that, for input amounts higher than 5μg per sample, TMT labeling, followed by microflow fractionation (MF) and phospho-enrichment, achieves the deepest phosphoproteome coverage, even compared to single shot direct-DIA analysis. Conversely, STF of enriched phosphopeptides (STF) is optimal for lower amounts, below 5μg/peptide per sample. As a result, we provide a decision tree to help phosphoproteomics users to choose the best workflow as a function of sample amount.

Analysis of peptides and proteins from Asini Corii Colla using nano LC-Q-Exactive-MS/MS

This paper aims to systematically analyze the peptides and proteins from Asini Corii Colla(ACC) through shotgun proteomics. After high-pH reversed-phase fractionation, the proteins and peptides in the hydrolysate of ACC were further separated by nano LC-Q-Exactive-MS/MS under the following conditions: Thermo Scientific EASY column(100 μm×2 cm, 5 μm, C_(18)) as precolumn, Thermo Scientific EASY column(75 μm×100 mm, 3 μm, C_(18)) for solid phase extraction, gradient elution with 0.1% formic acid in water(mobile phase A) and 84% acetonitrile in water containing 0.1% formic acid(mobile phase B), and MS in positive ion mode. Based on Uniprot_Equus caballus, MS data, and literature, 2 291 peptides were identified from ACC by MaxQuant, with 255 Maillard reactions(AML, CML, CEL)-modified peptides identified for the first time. Through alignment, the peptides were found to belong to 678 equine proteins. In conclusion, the combination of nano LC-Q-Exactive-MS/MS and shotgun proteomics achieved rapid and accurate identification of the proteins and peptides in ACC, which provides the key information and new insights for further investigation of chemicals and effective substances in ACC.

Combinatory strategy using nanoscale proteomics and machine learning for T cell subtyping in peripheral blood of single multiple myeloma patients

T cells play crucial roles in our immunity against hematological tumors by inducing sustained immune responses. Flow cytometry-based detection of a limited number of specific protein markers has been routinely applied for basic research and clinical investigation in this area. In this study, we combined flow cytometry with the simple integrated spintip-based proteomics technology (SISPROT) to characterize the proteome of primary T cell subtypes in the peripheral blood (PB) from single multiple myeloma (MM) patients. Taking advantage of the integrated high pH reversed-phase fractionation in the SISPROT device, the global proteomes of CD3+, CD4+ and CD8+ T cells were firstly profiled with a depth of >7 000 protein groups for each cell type. The sensitivity of single-shot proteomic analysis was dramatically improved by optimizing the SISPROT and data-dependent acquisition parameters for nanogram-level samples. Eight subtypes of T cells were sorted from about 4 mL PB of single MM patients, and the individual subtype-specific proteomes with coverage among 1 702 and 3 699 protein groups were obtained from as low as 70 ng and up to 500 ng of cell lysates. In addition, we developed a two-step machine learning-based subtyping strategy for proof-of-concept classifying eight T cell subtypes, independent of their cell numbers and individual differences. Our strategy demonstrates an easy-to-use proteomic analysis on immune cells with the potential to discover novel subtype-specific protein biomarkers from limited clinical samples in future large scale clinical studies.

Global proteomic analysis of extracellular matrix in mouse and human brain highlights relevance to cerebrovascular disease

The extracellular matrix (ECM) is a key interface between the cerebrovasculature and adjacent brain tissues. Deregulation of the ECM contributes to a broad range of neurological disorders. However, despite this importance, our understanding of the ECM composition remains very limited mainly due to difficulties in its isolation. To address this, we developed an approach to extract the cerebrovascular ECM from mouse and human post-mortem normal brain tissues. We then used mass spectrometry with off-line high-pH reversed-phase fractionation to increase the protein detection. This identified more than 1000 proteins in the ECM-enriched fraction, with > 66% of the proteins being common between the species. We report 147 core ECM proteins of the human brain vascular matrisome, including collagens, laminins, fibronectin and nidogens. We next used network analysis to identify the connection between the brain ECM proteins and cerebrovascular diseases. We found that genes related to cerebrovascular diseases, such as COL4A1, COL4A2, VCAN and APOE were significantly enriched in the cerebrovascular ECM network. This provides unique mechanistic insight into cerebrovascular disease and potential drug targets. Overall, we provide a powerful resource to study the functions of brain ECM and highlight a specific role for brain vascular ECM in cerebral vascular disease.

Comparison of protein and peptide fractionation approaches in protein identification and quantification from Saccharomyces cerevisiae

Shotgun proteomics is a high-throughput technology which has been developed with the aim of investigating the maximum number of proteins in cells in a given experiment. However, protein discovery and data generation vary in depth and coverage when different technical strategies are selected. In this study, three different sample preparation approaches, and peptide or protein fractionation methods, were applied to identify and quantify proteins from log-phase yeast lysate: sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE), filter-aided sample preparation coupled with gas phase fractionation (FASP-GPF), and FASP - high pH reversed phase fractionation (HpH). Fractions were initially analyzed and compared using nanoflow liquid chromatography – tandem mass spectrometry (nanoLC-MS/MS) employing data dependent acquisition on a linear ion trap instrument. The number of fractions and analytical replicates was adjusted so that each experiment used a similar amount of mass spectrometric instrument time. A second set of experiments was performed, comparing FASP-GPF, SDS-PAGE and FASP-HpH using a Q Exactive Orbitrap mass spectrometer. Compared with results from the linear ion trap mass spectrometer, the use of a Q Exactive Orbitrap mass spectrometer enabled a substantial increase in protein identifications, and an even greater increase in peptide identifications. This shows that the main advantage of using the higher resolution instrument is in increased proteome coverage. A total of 1035, 1357 and 2134 proteins were separately identified by FASP-GPF, SDS-PAGE and FASP-HpH. Combining results from the Orbitrap experiments, there were a total of 2269 proteins found, with 94% of them identified using the FASP-HpH method. Therefore, the FASP-HpH method is the optimal choice among these approaches, when applied to this type of sample.

Antibody-Free Multiplex Measurement of 23 Human Cytokines in Primary Cell Culture Secretome Using Targeted Mass Spectrometry.

Cytokines are commonly measured by immunoassays; however, these have limited multiplexing capacity, are costly, and can exhibit cross-reactivity. Multiple reaction monitoring (MRM) mass spectrometry is a robust method to quantify analytes with high specificity and multiplexing ability, hence we aimed to investigate its suitability as an alternative cost-effective method for cytokine measurement. Human keratinocyte conditioned media spiked with recombinant cytokines was used as an experimental system to evaluate sensitivity, linearity, and reproducibility of an MRM assay targeting 79 peptides representing 23 human cytokines. Our MRM method was able to identify 21 cytokines by two or more unique peptides and two cytokines by a single unique peptide. In a serum-free matrix, the median LOD and LOQ for cytokine peptides was 130 and 433 pg/mL, respectively. The presence of serum increased median LOD and LOQ by about 2.3-fold. The assay shows excellent replicate consistency with 8% intra- and 12% interday coefficient of variations. We found high pH reversed-phase fractionation a useful tool to increase assay sensitivity with the drawback of increasing its variability by approximately 10%. Overall, our results suggest utility of a multiplex cytokine MRM for routine measurement of secreted cytokines in cellular experiments under low serum conditions. Additional enrichment steps will be required in high complexity matrices such as serum.

Proteome profiling of L3 and L4 Anisakis simplex development stages by TMT-based quantitative proteomics

Anisakis simplex is a parasitic nematode that can cause anisakiosis and/or allergic reactions in humans. The presence of invasive third-stage larvae (L3) in many different consumed fish species and the fourth-stage larvae (L4) in marine mammals, where L3 can accidentally affect to humans and develop as far as stage L4. World Health Organization and food safety authorities aim to control and prevent this emerging health problem. In the present work, using Tandem Mass Tag (TMT)-based quantitative proteomics we analyzed for the first time the global proteome of two A. simplex development stages, L3 and L4. The strategy was divided into four steps: (a) protein extraction of L3 and L4 development stages, (b) high intensity focused ultrasound (HIFU)-assisted trypsin digestion, (c) TMT-isobaric mass tag labeling following by high-pH reversed-phase fractionation, and (d) LC-MS/MS analysis in a LTQ-Orbitrap Elite mass spectrometer. A total of 2443 different proteins of A. simplex were identified. Analysis of the modulated proteins provided the specific proteomic signature of L3 (i.e. pseudocoelomic globin, endochitinase 1, paramyosin) and L4 (i.e. neprilysin-2, glutamate dehydrogenase, aminopeptidase N). To our knowledge, this is the most comprehensive dataset of proteins of A. simplex for two development stages (L3 and L4) identified to date. SignificanceA. simplex is a fish-borne parasite responsible for the human anisakiosis and allergic reactions around the world. The work describes for the first-time the comparison of the proteome of two A. simplex stages (L3 and L4). The strategy is based on four steps: (i) protein extraction, (ii) ultra-fast trypsin digestion under High-Intensity Focused Ultrasound (HIFU), (iii) TMT-isobaric mass tag labeling followed by high-pH reversed-phase fractionation and (iv) peptide analysis using a LTQ-Orbitrap Elite mass spectrometer. The workflow allows to select the most modulated proteins as proteomic signature of those specific development stages (L3 and L4) of A. simplex. Obtained stage-specific proteins, could be used as targets to control/eliminate this parasite and in future eradicate the anisakiosis disease.

Tandem mass tags labeled quantitative proteomics to study the effect of tobacco smoke exposure on the rat lung

BackgroundThe causal link between tobacco smoke exposure (TSE) and numerous severe respiratory system diseases (RSD), including chronic bronchitis, chronic obstructive pulmonary disease, and lung cancer, is well established. However, the pathogenesis of TSE-induced RSD remains incompletely understood. This research aims to detect the pathogenetic mechanisms and potential therapeutic targets of TSE-induced RSD. MethodsThis study employed TSE model which rats were exposed to a concentration of 60% tobacco smoke in a toxicant exposure system for four weeks. Tandem mass tags (TMT) labeled quantitative proteomics combined with off-line high pH reversed-phase fractionation, and nano-liquid chromatography-mass spectrometry method (off-line high pH RPF-nano-LC–MS/MS) were adopted to detect differentially expressed proteins (DEPs) in the lung tissues of the TSE model rats and to compare them with those in control. The accuracy of the results was verified by western blot. ResultsCompared with the control group, 33 proteins in the TSE model group's lung tissues showed significant differential expression. Analysis based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways indicated that, several biological pathways, such as the steroid biosynthesis pathway, were involved and played significant roles in the pathogenesis of the experimental group's TSE. ConclusionsThese findings make a crucial contribution to the search for a comprehensive understanding of TSE-induced RSD's pathogenesis, and furthermore provide guidance for the diagnosis and treatment of TSE-induced RSD.

An online 2D-reversed-phase – Reversed-phase chromatographic method for sensitive and robust plasma protein quantitation

Offline high-pH reversed-phase fractionation is widely used to reduce sample complexity in proteomic workflows. This is due to the semi-orthogonality and high peak resolution of the two separations. Offline 2D fractionation, however, is low throughput and requires several manual manipulations and is prone to sample losses. To address these issues, we developed an online two dimensional high-pH – low-pH reversed-phase-reversed-phase (2D RPRP) LC-MRM method whereby hundreds of peptides can be quantified in a single LC-MS/MS injection. The method allowed the reproducible and sensitive quantitation of a test panel of 367 peptides (168 proteins) from undepleted and non-enriched human plasma. Of these, we were able to detect and quantify 95 peptides (29 proteins) by 2D-RPRP that were not detectable by 1D LC-MRM-MS. Online 2D RPRP resulted in an average increase of roughly 10-fold in sensitivity compared to traditional 1D low-pH separations, while improving reproducibility and sample throughput relative to offline 2D RPRP by factors of 1.7 and 5, respectively, compared to offline 2D RPRP. This paper serves as proof-of-concept of the feasibility and efficacy of online 2D RPRP at analytical flow rates for highly multiplexed targeted proteomic analyses.

The Impact II, a Very High-Resolution Quadrupole Time-of-Flight Instrument (QTOF) for Deep Shotgun Proteomics *

Hybrid quadrupole time-of-flight (QTOF) mass spectrometry is one of the two major principles used in proteomics. Although based on simple fundamentals, it has over the last decades greatly evolved in terms of achievable resolution, mass accuracy, and dynamic range. The Bruker impact platform of QTOF instruments takes advantage of these developments and here we develop and evaluate the impact II for shotgun proteomics applications. Adaption of our heated liquid chromatography system achieved very narrow peptide elution peaks. The impact II is equipped with a new collision cell with both axial and radial ion ejection, more than doubling ion extraction at high tandem MS frequencies. The new reflectron and detector improve resolving power compared with the previous model up to 80%, i.e. to 40,000 at m/z 1222. We analyzed the ion current from the inlet capillary and found very high transmission (>80%) up to the collision cell. Simulation and measurement indicated 60% transfer into the flight tube. We adapted MaxQuant for QTOF data, improving absolute average mass deviations to better than 1.45 ppm. More than 4800 proteins can be identified in a single run of HeLa digest in a 90 min gradient. The workflow achieved high technical reproducibility (R2 > 0.99) and accurate fold change determination in spike-in experiments in complex mixtures. Using label-free quantification we rapidly quantified haploid against diploid yeast and characterized overall proteome differences in mouse cell lines originating from different tissues. Finally, after high pH reversed-phase fractionation we identified 9515 proteins in a triplicate measurement of HeLa peptide mixture and 11,257 proteins in single measurements of cerebellum—the highest proteome coverage reported with a QTOF instrument so far.

Off-line high-pH reversed-phase fractionation for in-depth phosphoproteomics.

Protein phosphorylation is an important post-translational modification (PTM) involved in embryonic development, adult homeostasis, and disease. Over the past decade, several advances have been made in liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based technologies to identify thousands of phosphorylation sites. However, in-depth phosphoproteomics often require off-line enrichment and fractionation techniques. In this study, we provide a detailed analysis of the physicochemical characteristics of phosphopeptides, which have been fractionated by off-line high-pH chromatography (HpH) before subsequent titanium dioxide (TiO2) enrichment and LC-MS/MS analysis. Our results demonstrate that HpH is superior to standard strong-cation exchange (SCX) fractionation in the total number of phosphopeptides detected when analyzing the same number of fractions by identical LC-MS/MS gradients. From 14 HpH fractions, we routinely identified over 30,000 unique phosphopeptide variants, which is more than twice the number of that obtained from SCX fractionation. HpH chromatography displayed an exceptional ability to fractionate singly phosphorylated peptides, with minor benefits for doubly phosphorylated peptides over that with SCX. Further optimizations in the pooling and concatenation strategy increased the total number of multiphosphorylated peptides detected after HpH fractionation. In conclusion, we provide a basic framework and resource for performing in-depth phosphoproteome studies utilizing off-line basic reversed-phased fractionation. Raw data is available at ProteomeXchange (PXD001404).

Ultrasensitive proteome analysis using paramagnetic bead technology.

In order to obtain a systems-level understanding of a complex biological system, detailed proteome information is essential. Despite great progress in proteomics technologies, thorough interrogation of the proteome from quantity-limited biological samples is hampered by inefficiencies during processing. To address these challenges, here we introduce a novel protocol using paramagnetic beads, termed Single-Pot Solid-Phase-enhanced Sample Preparation (SP3). SP3 provides a rapid and unbiased means of proteomic sample preparation in a single tube that facilitates ultrasensitive analysis by outperforming existing protocols in terms of efficiency, scalability, speed, throughput, and flexibility. To illustrate these benefits, characterization of 1,000 HeLa cells and single Drosophila embryos is used to establish that SP3 provides an enhanced platform for profiling proteomes derived from sub-microgram amounts of material. These data present a first view of developmental stage-specific proteome dynamics in Drosophila at a single-embryo resolution, permitting characterization of inter-individual expression variation. Together, the findings of this work position SP3 as a superior protocol that facilitates exciting new directions in multiple areas of proteomics ranging from developmental biology to clinical applications.

Abstract 4716: Discovery of biomarkers from highly enriched prostate cancer microparticles for prognostication of prostate cancer

Abstract Prostate cancer microparticles (PCMPs) are essentially fragments of tumor cells that are present in various bodily fluids such as plasma and urine. By using nanoscale flow cytometry, multiple biomarkers can be assessed on PCMPs in patient plasma, a convenient “fluid biopsy” for prostate cancer (PCa). Discovering biomarkers specific for metastatic PCMPs would establish a non-invasive fluid biopsy for detecting the earliest onset of metastatic disease for patients post-prostatectomy. Discovery of biomarkers specific to Gleason score 6 (3+3) and 8 (4+4) lesions that are decorated on the surface of PCMPs would help establish a non-invasvie fluid biopsy for tumor upstaging (i.e., Gleason 6 to 7) of patients placed on active surveillance who have deferred prostatectomy. We hypothesize that biomarkers specific for metastatic PCMPs or Gleason Score-specific PCMPs can only be discovered via proteomics analysis on highly purified PCMPs from plasmas which have minimal levels of non-target microparticles and plasma proteins. To do this, plasmas were incubated with biotinylated anti-PSMA mAb and PSMA+ve microparticles were isolated from plasma by using a magnetic column after several purification runs. Eluted samples were then submitted to nanoscale flow cytometry in which elution fractions that exhibited minimal non-target microparticle concentrations (<1000 events/uL) were submitted to proteomics analysis. PCMPs from plasma samples representing localized (N=7, lymph node negative, PSA>5 ng/mL, Gleason Score 3+3) and metastatic (N=7, confirmed bone metastases, PSA>10 ng/mL, Gleason 4+4) were isolated, evaluated and submitted for iTRAQ labeling, high pH reversed phase fractionation and LC-MS/MS analysis. All data was analyzed using Proteome Discoverer 1.3 and MASCOT v2.3 software. Mass spectometry analysis revealed 8 proteins significantly upregulated and 5 proteins downregulated in the majority of metastatic plasma samples compared to localized plasma samples. Data was normalized to albumin levels by western blot and mass spectrometry. Based on these results, we have identified 8 proteins that may be specific for a subpopulation of PCMPs from metastatic PCa patients. Out of these, 6 may be candidates for flow cytometry because they are membrane-bound or are cytoskeletal elements potentially exposed to the extracellular space (CLIC1, PVR, YWHAE, KRT16, K1C10, KRT2). Citation Format: Colleen N. Biggs, Quiquan Guo, Jun Yang, Ann F. Chambers, Joseph L. Chin, Nicholas Power, Hon S. Leong. Discovery of biomarkers from highly enriched prostate cancer microparticles for prognostication of prostate cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4716. doi:10.1158/1538-7445.AM2014-4716

Employing TMT quantification in a shotgun-MS platform.

The blood serum proteome may be an ideal source of disease biomarkers, although its complexity necessitates novel strategies to enrich and quantify lower-abundance proteins with biomarker utility. Herein, serum samples from pre-diagnosis pancreatic cancer cases and controls were compared using a workflow of immunodepletion, multi-lectin fractionation, and peptide tandem mass tag (TMT) labeling. Samples were then subjected to SCX and high pH reversed-phase fractionation and analyzed by liquid chromatography tandem mass spectrometry (LC-MS/MS). The aim was the discovery of candidate serum biomarkers of pancreatic cancer, although the method is applicable to any comparative proteomic analysis of serum samples.

N- and O-Glycosylation in the Murine Synaptosome

We present the first large scale study characterizing both N- and O-linked glycosylation in a site-specific manner on hundreds of proteins. We demonstrate that a lectin-affinity fractionation step using wheat germ agglutinin enriches not only peptides carrying intracellular O-GlcNAc, but also those bearing ER/Golgi-derived N- and O-linked carbohydrate structures. Liquid chromatography-MS (LC/MS) analysis with high accuracy precursor mass measurements and high sensitivity ion trap electron-transfer dissociation (ETD) were utilized for structural characterization of glycopeptides. Our results reveal both the identity of the precise sites of glycosylation and information on the oligosaccharide structures possible on these proteins. We report a novel iterative approach that allowed us to interpret the ETD data set directly without making prior assumptions about the nature and distribution of oligosaccharides present in our glycopeptide mixture. Over 2500 unique N- and O-linked glycopeptides were identified on 453 proteins. The extent of microheterogeneity varied extensively, and up to 19 different oligosaccharides were attached at a given site. We describe the presence of the well-known mucin-type structures for O-glycosylation, an EGF-domain-specific fucosylation and a rare O-mannosylation on the transmembrane phosphatase Ptprz1. Finally, we identified three examples of O-glycosylation on tyrosine residues.