Phosphopeptide Enrichment Methods Research Articles

Predictive molecular markers of chemoradiation resistance in cervical cancer.

e17505 Background: Cisplatin based concurrent chemoradiation therapy (CCRT) has been recognized as the standard treatment for locally advanced cervical cancer. Although patients treated with CCRT have better chances of survival and prognosis, over 30–40% of patients do not achieve a complete response and may develop locoregional recurrence. Hence predictive biomarkers-based treatment selection of right cohort could be a strong approach for personalized treatment. Therapy resistance occur due to multifactorial events and targeting key molecules involved in treatment resistance could combat treatment resistance. Herein, we profiled both the global proteomic and phosphoproteomic landscape of the concurrent chemotherapy resistant cervical cancer to identify potential predictive biomarkers as well as therapeutic targets. Methods: We employed mass spectrometry based global proteomic and phosphoproteomic strategies to identify proteomic signature and dysregulated kinase involved in CCRT resistance. The biopsy tissue samples were collected before the start of the therapy and the protein was extracted, digested from each sample and labelled with 10 plex TMT (Tandem Mass Tags). The pooled peptides were fractionated by basic pH liquid chromatography analyzed on Orbitrap-Fusion-Tribrid mass spectrometer (ThermoFisher Scientific). For the phosphoproteomic experiment, the peptides were enriched using IMAC based phosphopeptide enrichment method. Liquid chromatography-mass spectrometry/ experiments together with thorough bioinformatics analysis were carried out to characterize the global proteome and phosphoproteome. Results: Analysis of protein expression and phosphorylation led to the identification of dysregulated protein expression and phosphorylation between treatment sensitive and resistant patient cohorts. Further analysis and validation experiment revealed the potential of differentially expressed protein syntaxin 3 (STX3) as a predictive biomarker for treatment resistance. Phosphoproteomic analysis revealed the enrichment of DNA repair pathway in treatment-resistant cohort and the phosphorylation of the proteins involved in DNA repair such as SMC1A, HMGN1, MGMT, DDB2, MSH6 are dysregulated between the cohort suggesting role of DNA repair pathway in the treatment resistance. Kinase-substrate enrichment analysis revealed the activation of kinases such as CSNK2A1, PRKDC, PLK1, NEK2 and ATM in non-responders. Conclusions: We have identified an accurate and reliable biomarker STX3 to predict CCRT resistance in cervical cancer. Further, the phosphoproteomic profiling revealed dysregulation of DNA repair pathways which may be involved in treatment resistance. Targeting the activated kinases such as CSNK2A1, PRKDC, PLK1, NEK2 and ATM could combat treatment resistance in cervical cancer patients.

Data-Independent Acquisition Phosphoproteomics of Urinary Extracellular Vesicles Enables Renal Cell Carcinoma Grade Differentiation

Translating the research capability and knowledge in cancer signaling into clinical settings has been slow and ineffective. Recently, extracellular vesicles (EVs) have emerged as a promising source for developing disease phosphoprotein markers to monitor disease status. This study focuses on the development of a robust data-independent acquisition (DIA) using mass spectrometry to profile urinary EV phosphoproteomics for renal cell cancer (RCC) grades differentiation. We examined gas-phase fractionated library, direct DIA (library-free), forbidden zones, and several different windowing schemes. After the development of a DIA mass spectrometry method for EV phosphoproteomics, we applied the strategy to identify and quantify urinary EV phosphoproteomes from 57 individuals representing low-grade clear cell RCC, high-grade clear cell RCC, chronic kidney disease, and healthy control individuals. Urinary EVs were efficiently isolated by functional magnetic beads, and EV phosphopeptides were subsequently enriched by PolyMAC. We quantified 2584 unique phosphosites and observed that multiple prominent cancer-related pathways, such as ErbB signaling, renal cell carcinoma, and regulation of actin cytoskeleton, were only upregulated in high-grade clear cell RCC. These results show that EV phosphoproteome analysis utilizing our optimized procedure of EV isolation, phosphopeptide enrichment, and DIA method provides a powerful tool for future clinical applications.

Phosphoproteomic Analysis of the Jejunum Tissue Response to Colostrum and Milk Feeding in Dairy Calves during the Passive Immunity Period.

Improvements in the feeding of calves are of increasing importance for the development of the dairy industry. While colostrum is essential for the health of newborn calves, knowledge of protein phosphorylation alterations in neonatal calves that are fed colostrum or mature milk is lacking. Here, mid-jejunum tissue samples were collected from calves that received colostrum or milk. Subsequently, the jejunum phosphoproteome was analyzed using a phosphopeptide enrichment method, i.e., titanium immobilized metal ion affinity chromatography, coupled with liquid chromatography-tandem mass spectrometry. A total of 2093 phosphopeptides carrying unique 1851 phosphorylation sites corresponding to 1180 phosphoproteins were identified. Of the 1180 phosphoproteins, 314 phosphorylation sites on 241 proteins were differentially expressed between the groups. Gene ontology analysis indicated that the phosphoproteins were strongly associated with developmental and macromolecule metabolic processes, signal transduction, and responses to stimuli and insulin. Pathway analysis showed that the spliceosome, Hippo, insulin, and neurotrophin signaling pathways were enriched. These results reveal the expression pattern and changes in the function of phosphoproteins in bovine jejunum tissues under different feeding conditions and provide further insights into the crucial role of colostrum feeding during the early stages of life.

Simultaneous enrichment and sequential separation of glycopeptides and phosphopeptides with poly-histidine functionalized microspheres.

Protein phosphorylation and glycosylation coordinately regulate numerous complex biological processes. However, the main methods to simultaneously enrich them are based on the coordination interactions or Lewis acid-base interactions, which suffer from low coverage of target molecules due to strong intermolecular interactions. Here, we constructed a poly-histidine modified silica (SiO2@Poly-His) microspheres-based method for the simultaneous enrichment, sequential elution and analysis of phosphopeptides and glycopeptides. The SiO2@Poly-His microspheres driven by hydrophilic interactions and multiple hydrogen bonding interactions exhibited high selectivity and coverage for simultaneous enrichment of phosphopeptides and glycopeptides from 1,000 molar folds of bovine serum albumin interference. Furthermore, “on-line deglycosylation” strategy allows sequential elution of phosphopeptides and glycopeptides, protecting phosphopeptides from hydrolysis during deglycosylation and improving the coverage of phosphopeptides. The application of our established method to HT29 cell lysates resulted in a total of 1,601 identified glycopeptides and 694 identified phosphopeptides, which were 1.2-fold and 1.5-fold higher than those obtained from the co-elution strategy, respectively. The SiO2@Poly-His based simultaneous enrichment and sequential separation strategy might have great potential in co-analysis of PTMs-proteomics of biological and clinic samples.

Novel Online Three-Dimensional Separation Expands the Detectable Functional Landscape of Cellular Phosphoproteome.

Protein phosphorylation is a prevalent post-translational modification that regulates essentially every aspect of cellular processes. Currently, liquid chromatography-tandem mass spectrometry (LC-MS/MS) with an extensive offline sample fractionation and a phosphopeptide enrichment method is a best practice for deep phosphoproteome profiling, but balancing throughput and profiling depth remains a practical challenge. We present an online three-dimensional separation method for ultradeep phosphoproteome profiling that combines an online two-dimensional liquid chromatography separation and an additional gas-phase separation. This method identified over 100,000 phosphopeptides (>60,000 phosphosites) in HeLa cells during 1.5 days of data acquisition, and the largest HeLa cell phosphoproteome significantly expanded the detectable functional landscape of cellular phosphoproteome.

Comparative Phosphoproteomic Profiling in the Prefrontal Cortex of Prenatally Stressed Male Offspring Rats

Many investigations have indicated that prenatal stress (PS) causes depressive-like disturbances in offspring rats. However, the underlying pathogenic mechanisms have not yet been fully elucidated. The prefrontal cortex (PFC) has been shown to play a role in susceptibility to stress during fetal development; thus, we focused our attention on differential protein phosphorylation in this region of PS-S (susceptibility to PS) offspring rats. The sucrose preference test was used to screen for susceptibility to PS. The validity of the prenatally stressed model was verified by other common depression-like behaviors. We used MS-based TMT quantitative proteomics in combination with the phosphopeptide enrichment method to compare phosphoproteomic profiling in the PFC of PS-S and control male offspring rats. In total, 3,418 phosphoproteins, 8,404 phosphopeptides, and 12,175 phosphosites were identified in this analysis. According to the screening criteria, 902 phosphopeptides increased and 609 decreased in the PFC of the PS-S group compared to the control rats. Gene ontology enrichment analysis indicated that the main enriched terms in the cellular component category were “synapse part,” “myelin sheath,” “synapse,” “neuron part,” and “axon.” The phosphoproteins enriched in the molecular function and biological process categories were mainly related to cytoskeleton- and projection morphogenesis-associated proteins. KEGG pathway enrichment analyses identified 30 significant KEGG pathways; the top five pathways included salivary secretion, endocrine and other factor-regulated calcium reabsorption, pancreatic secretion, and insulin secretion. Motifs such as ……_S_P…RR, ……S_PE……, ……_S_PV……, ……_S_P.H……, and …S…_S_PT…. were the top five motifs enriched in phosphorylated sites. PS may induce depressive-like behaviors in male offspring rats by regulating the phosphorylation of proteins mainly related to synapses, myelin sheaths, neurons, and the cytoskeleton. The phosphorylation of related proteins may act as key pathogenic hits. Data are available via ProteomeXchange with identifier PXD026563.

Comprehensive Evaluation of Different TiO2-Based Phosphopeptide Enrichment and Fractionation Methods for Phosphoproteomics.

Protein phosphorylation is an essential post-translational modification that regulates multiple cellular processes. Due to their low stoichiometry and ionization efficiency, it is critical to efficiently enrich phosphopeptides for phosphoproteomics. Several phosphopeptide enrichment methods have been reported; however, few studies have comprehensively compared different TiO2-based phosphopeptide enrichment methods using complex proteomic samples. Here, we compared four TiO2-based phosphopeptide enrichment methods that used four non-phosphopeptide excluders (glutamic acid, lactic acid, glycolic acid, and DHB). We found that these four TiO2-based phosphopeptide enrichment methods had different enrichment specificities and that phosphopeptides enriched by the four methods had different physicochemical characteristics. More importantly, we discovered that phosphopeptides had a higher deamidation ratio than peptides from cell lysate and that phosphopeptides enriched using the glutamic acid method had a higher deamidation ratio than the other three methods. We then compared two phosphopeptide fractionation methods: ammonia- or TEA-based high pH reversed-phase (HpH-RP). We found that fewer phosphopeptides, especially multi-phosphorylated peptides, were identified using the ammonia-based method than using the TEA-based method. Therefore, the TEA-based HpH-RP fractionation method performed better than the ammonia method. In conclusion, we comprehensively evaluated different TiO2-based phosphopeptide enrichment and fractionation methods, providing a basis for selecting the proper protocols for comprehensive phosphoproteomics.

Abstract 3913: Quantitative phosphoproteomic analysis of AXL signaling network in breast cancer

Abstract Background: As a key receptor tyrosine kinase (RTK) regulating tumorigenesis, AXL is overexpressed in multiple different types of cancers. AXL can be activated by homodimerization after binding with its ligand, growth arrest specific 6 protein (Gas6) or by heterodimerization with other RTKs. AXL overexpression and/or activation have been reported to promote cancer cell proliferation, migration/invasion and to induce resistance to targeted therapy. However, the AXL downstream signaling network has not yet been fully elucidated. Methods: We employed a CRISPR-CAS9-based knockout technology to create AXL inducible knockout cells in a human triple negative breast cancer (TNBC) cell line, HCC1395. In order to explore the downstream signaling events driven by AXL, we induced AXL knockout for 72 hours and used a 6-plex TMT-labeling-based quantitative proteomic approach to characterize the protein phosphorylation alterations induced by AXL knockout. IMAC and anti-phosphotyrosine antibody (pY1000)-based phosphopeptide enrichment methods were used to comprehensively quantify the phosphoproteome changes induced by AXL knockout. Results: In this study, we identified 38,525 phospho serine/threonine sites and 1,427 phosphotyrosine sites. In response to AXL knockout, 1,581 phospho serine/threonine sites and 40 phosphotyrosine sites showed significant differences between AXL-KO and AXL-WT groups with >1.5-fold change and p<0.05 as the cutoff. Among them, 982 phosphoserine/threonine sites and 30 phosphotyrosine sites were decreased, while 599 phospho serine/threonine sites and 10 phosphotyrosine sites were increased in AXL-KO cells. Signaling pathway enrichment analysis revealed that suppressing AXL expression could inhibit multiple important cancer related signaling pathways, including cell cycle, focal adhesion, MAPK signaling pathway, p53 signaling pathway and mTOR signaling pathway. Conclusion: Quantitative analysis of the phosphoproteome driven by AXL demonstrated that AXL plays a pivotal role in regulating canonical oncogenic signaling but also signaling pathways involved in RNA processing and DNA repair. Our data also suggest that targeting AXL could suppress these oncogenic signaling pathways and have therapeutic potential to improve clinical outcomes for patients with AXL overexpression. Citation Format: Li Wang, Nicole Pearson, Yuning Xiong, Santosh Renuse, Ran Cheng, Jodi M. Carter, Akhilesh Pandey, Xinyan Wu. Quantitative phosphoproteomic analysis of AXL signaling network in breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3913.

A Rapid and Universal Workflow for Label-Free-Quantitation-Based Proteomic and Phosphoproteomic Studies in Cereals.

Proteomics and phosphoproteomics are robust tools to analyze dynamics of post-transcriptional processes during growth and development. A variety of experimental methods and workflows have been published, but most of them were developed for model plants and have not been adapted to high-throughput platforms. Here, we describe an experimental workflow for proteome and phosphoproteome studies tailored to cereal crop tissues. The workflow consists of two parallel parts that are suitable for analyzing protein/phosphoprotein from total proteins and the microsomal membrane fraction. We present phosphoproteomic data regarding quantification coverage and analytical reproducibility for example preparations from maize root and shoot, wheat leaf, and a microsomal protein preparation from maize leaf. To enable users to adjust for tissue specific requirements, we provide two different methods of protein clean-up: traditional ethanol precipitation (PC) and a recently developed technology termed single-pot, solid-phase-enhanced sample preparation (SP3). Both the PC and SP3 methods are effective in the removal of unwanted substances in total protein crude extracts. In addition, two different methods of phosphopeptide enrichment are presented: a TiO2 -based method and Fe(III)-NTA cartridges on a robotized platform. Although the overall number of phosphopeptides is stable across protein clean-up and phosphopeptide enrichment methods, there are differences in the preferred phosphopeptides in each enrichment method. The preferred protocol depends on laboratory capabilities and research objective. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Total protein crude extraction Basic Protocol 2: Total protein clean-up with ethanol precipitation Alternate Protocol 1: Total protein clean-up with SP3 method Basic Protocol 3: Microsomal fraction protein extraction Basic Protocol 4: Protein concentration determination by Bradford assay Basic Protocol 5: In-solution digestion with trypsin Basic Protocol 6: Phosphopeptide enrichment with TiO2 Alternate Protocol 2: Phosphopeptide enrichment with Fe(III)-NTA cartridges Basic Protocol 7: Peptide desalting with C18 material Basic Protocol 8: LC-MS/MS analysis of (phospho)peptides and spectrum matching.

Robust Dual-Biomimetic Titanium Dioxide-Cellulose Monolith for Enrichment of Phosphopeptides.

Metal oxide affinity chromatography (MOAC) is considered to be one of the most effective methods for phosphopeptide enrichment. However, most of the materials used in the method are powder; frequent centrifugation is necessitated during the enrichment process, and potential risks of loss of peptides and materials and clogging of the column employed for liquid chromatography-mass spectrometry (LC-MS) arise. Moreover, the reusability of these materials to achieve sustainability was hardly investigated. To overcome these limitations, herein, inorganic titanium dioxide (TiO2) was coated onto the skeletal surface of the organic cellulose monolith (CM) material with a coral-like structure via a sol-gel method. This produced an organic-inorganic hybrid TiO2-CM material, which contained a combination of organic and inorganic substances, making it mimic the mollusk shell in terms of composition. The prepared TiO2-CM material as monolith exhibited excellent mechanical strength and did not break during the enrichment process; thus, the tedious implementation of multiple centrifugation cycles was prevented, thereby streamlining the experimental procedure and avoiding the loss of peptides and materials. Moreover, a large amount of TiO2 was introduced onto the surface of the CM material, and thus, the resultant TiO2-CM material exhibited a large surface area. As a result, the fabricated TiO2-CM material was successfully applied to the enrichment of phosphopeptides obtained from the tryptic digests of a BSA/β-casein (mass ratio, 500/1) mixture. The results were superior to those achieved for commercial TiO2 beads, confirming that TiO2-CM has excellent selectivity for phosphopeptides and reusability. Furthermore, 9287 unique phosphopeptides derived from the 2661 phosphoproteins were successfully identified from two milligrams of tryptic digests of Hela cell exosomes obtained through five independent replications after enriching using the TiO2-CM material. The results indicated that the material has good application prospects in the analysis of protein phosphorylation. Furthermore, TiO2-CM consists of green and cheap cellulose as the skeleton, and its synthesis process is environment-friendly, simple, and inexpensive.

A novel graphene oxide/chitosan foam incorporated with metal-organic framework stationary phase for simultaneous enrichment of glycopeptide and phosphopeptide with high efficiency.

A novel hydrophilic porous biocomposite was fabricated by incorporating graphene oxide (GO) @chitosan (CS) foam substrate (GO@CS@ZIF-8 foam) with ZIF-8 crystals in situ via a facile stirring method for simultaneous enrichment of glycopeptides and phosphopeptides from complex biological samples. The experimental results demonstrated that GO@CS@ZIF-8 foam exhibited favorable specificity for simultaneous enrichment of N-glycopeptides and phosphopeptides under the same condition for HRP and β-casein tryptic digest mixtures. The novel material was further applied to enriching both glycopeptides and phosphopeptides simultaneously from 4 μL complex human serum, and 423N-glycopeptides and 40 phosphopeptides corresponding to 133 glycoproteins and 29 phosphoproteins were identified, respectively.

Synthesis of a metal oxide affinity chromatography magnetic mesoporous nanomaterial and development of a one-step selective phosphopeptide enrichment strategy for analysis of phosphorylated proteins

Protein phosphorylation is one of the most vital protein post-translational modifications, which regulates numerous biological processes including protein structure transformation, molecular interaction, cell proliferation and apoptosis, as well as various malignant diseases. Though mass spectrometry (MS)-based technologies provide a feasible strategy to analyze phosphorylated proteins, label-free quantitative analysis for phosphopeptides in biological samples is still a challenging task due to sample losses from complicated preparation and necessary phosphopeptide enrichment. In this study, magnetic mesoporous TiO2 microspheres, Fe3O4@nSiO2@mSiO2@TiO2, a metal oxide affinity chromatography material, were synthesized with uniform particle size of 500 nm. The synthesized material exhibited good selectivity (molar ratio of β-casein:BSA = 1:2000, great sensitivity (0.5 fmol μL−1β-casein), and good adsorption capacity (120 mg g−1). Moreover, the proper mesopores on the surface of the enrichment material displayed the unique property of size-exclusion, which could ‘capture’ the trypsin and form a temporary immobilized enzyme reactor, reducing the tryptic digestion procedure from at least 16 h to 2 h. Based on the synthesized material, a facile one-step selective phosphopeptide enrichment method was successfully developed and consisted with protein digestion and phosphopeptide enrichment, which was further applied to selectively enrich phosphopeptides from the complex biological samples of nonfat milk and HepG2 cells, indicating its great feasibility and potential of applications in real sample analysis. More importantly, combining with MS, a label-free phosphoproteomic quantitative strategy was established and performed for determination of the mixture samples containing BSA and various concentrations of β-casein. The results showed that the obtained calibration curve was linear with R = 0.9987 by plotting the intensities of unique phosphopeptide of β-casein (m/z 2061.77) versus the concentrations of β-casein. Our study will provide a novel analytical strategy for selective enrichment of phosphopeptides and facile label-free relative quantitative analysis of phosphorylated proteins.

Titanium(IV)-functionalized zirconium-organic frameworks as dual-metal affinity probe for recognition of endogenous phosphopeptides prior to mass spectrometric quantification

A zirconium-organic framework was modified with titanium(IV) ions to obtain a modified framework thatis shown to be a viable sorbent for selective capture of phosphopeptides. This dual-metal affinity probe exhibits0.1 fM limits of detection and excellent size-exclusion effect (the mass ratio of β-casein digests/BSA/intact β-casein is 1:1000:1000). This is attributed to abundant Ti(IV) and Zr(IV) coordination sites and high porosity. The performance of the sorbent for extracting endogenous phosphopeptides from human serum and saliva was investigated. Especially, 105 endogenous phosphopeptides from saliva were captured specifically. In addition, the amino acid frequency of the enriched phosphopeptides was analyzed. Conservation of sequence around the identified phosphorylated sites from saliva confirmed that phosphorylation took place in the proline-directed motifs. Graphical abstractSchematic representation of a method for the specific enrichment of phosphopeptides by a modified metal-organic framework. Following size-exclusion elution, the phosphopeptides are quantified by mass spectrometry.

Automating Complex, Multistep Processes on a Single Robotic Platform to Generate Reproducible Phosphoproteomic Data.

Mass spectrometry-based phosphoproteomics holds promise for advancing drug treatment and disease diagnosis; however, its clinical translation has thus far been limited. This is in part due to an unstandardized and segmented sample preparation process that involves cell lysis, protein digestion, peptide desalting, and phosphopeptide enrichment. Automating this entire sample preparation process will be key in facilitating standardization and clinical translation of phosphoproteomics. While peptide desalting and phosphopeptide enrichment steps have been individually automated, integrating these two extractions and, further, the entire process requires more advanced robotic platforms as well as automation-friendly extraction tools. Here we describe a fully automated peptide desalting and phosphopeptide enrichment method using IMCStips on a Hamilton STAR. Using our established automated method, we identified more than 10,000 phosphopeptides from 200 µg of HCT116 cell lysate without fractionation with >85% phosphopeptide specificities. Compared with titania-based Spin Tip products, the automated IMCStips-based method gave 50% higher phosphopeptide identifications. The method reproducibility was further assessed using multiple reaction monitoring (MRM) to show >50% phosphopeptide recoveries after the automated phosphopeptide extraction with coefficients of variation (CVs) of <20% over a 3-week period. The established automated method is a step toward standardization of the sample preparation of phosphopeptide samples and could be further expanded upon to create a fully automated "cells to phosphopeptides" method.

Quantitative Phosphoproteomic Using Titanium Dioxide Micro-Columns and Label-Free Quantitation.

Phosphorylation events are important during cellular function. Analysis of phosphorylation in complex samples has been extensively studied using large-scale phosphopeptide enrichment methods. Quantitative analysis of the enriched phosphopeptides is subsequently performed using label-based methodologies (e.g., SILAC, iTRAQ, and others). Here we describe the protocol for the quantitative analysis of phosphopeptides, enriched with titanium dioxide micro-column, using an intensity-based label-free quantitation.

Preparation of TiO2/Bi/Fe/Zr nanocomposite for the highly selective enrichment of phosphopeptides

It is necessary to effectively absorb trace phosphopeptides/proteins from complex phosphopeptide-containing samples for mass spectrometry (MS)-based phosphoproteomics. Here, Bi3+/Fe3+/Zr4+co-doped TiO2 (TiO2/Bi/Fe/Zr) nanocomposite with a high surface-to-volume ratio was synthesized by sol-gel method for selective enrichment of phosphopeptides. The enrichment ability of this modified TiO2 toward phosphopeptides was evaluated by using standard phosphoproteins and HeLa cell lysate. The results demonstrated that, compared with commercial titanium dioxide for phosphopeptides enrichment, this proposed TiO2/Bi/Fe/Zr nanocomposite has a lower detection limit (4 × 10−10 M) and higher selectivity at a low weight ratio of phosphopeptides/nonphosphopeptides (1:1000). Additionally, a total of 676 phosphorylation sites were identified from the HeLa cell lysate after enrichment by the TiO2/Bi/Fe/Zr nanocomposite. In brief, the TiO2/Bi/Fe/Zr nanocomposite exhibits better performance on the selectively absorption of phosphopeptides from either simple or complex biological samples, indicating the great potential application in phosphoproteomics study.

Phosphotyrosine profiling of human cerebrospinal fluid

BackgroundCerebrospinal fluid (CSF) is an important source of potential biomarkers that affect the brain. Biomarkers for neurodegenerative disorders are needed to assist in diagnosis, monitoring disease progression and evaluating efficacy of therapies. Recent studies have demonstrated the involvement of tyrosine kinases in neuronal cell death. Thus, neurodegeneration in the brain is related to altered tyrosine phosphorylation of proteins in the brain and identification of abnormally phosphorylated tyrosine peptides in CSF has the potential to ascertain candidate biomarkers for neurodegenerative disorders.MethodsIn this study, we used an antibody-based tyrosine phosphopeptide enrichment method coupled with high resolution Orbitrap Fusion Tribrid Lumos Fourier transform mass spectrometer to catalog tyrosine phosphorylated peptides from cerebrospinal fluid. The subset of identified tyrosine phosphorylated peptides was also validated using parallel reaction monitoring (PRM)-based targeted approach.ResultsTo date, there are no published studies on global profiling of phosphotyrosine modifications of CSF proteins. We carried out phosphotyrosine profiling of CSF using an anti-phosphotyrosine antibody-based enrichment and analysis using high resolution Orbitrap Fusion Lumos mass spectrometer. We identified 111 phosphotyrosine peptides mapping to 66 proteins, which included 24 proteins which have not been identified in CSF previously. We then validated a set of 5 tyrosine phosphorylated peptides in an independent set of CSF samples from cognitively normal subjects, using a PRM-based targeted approach.ConclusionsThe findings from this deep phosphotyrosine profiling of CSF samples have the potential to identify novel disease-related phosphotyrosine-containing peptides in CSF.

Abstract 2262: Inference of kinase activity for cancer phosphoproteomics using substrate prediction scores

Abstract Background: Quantification of global protein phosphorylation abundance levels with residue-level resolution is feasible with mass spectrometry and phosphopeptide enrichment methods. Researchers have inferred kinase activity from phosphoproteomics data using a variety of methods to extract interpretable and biologically relevant information, but analysis of phosphoproteomics data is limited by the fact that detected phosphorylation sites often have unknown function and relevance. Methods: We developed a novel method for aggregating and interpreting phosphoproteomics data that combines kinase prediction scores from NetworKIN with experimental summary statistics to estimate abundance changes in predicted kinase substrates. By weighting student t-statistic scores by kinase prediction scores and summing cumulative scores across all phosphopeptides detected in a given screen, we generated kinase activity scores that reflect the overall direction, magnitude and significance of observed changes in predicted kinase substrates. These kinase scores were assessed using permutation testing to determine their significance versus changes that would be expected from random chance. To evaluate our method, we applied it to a shotgun phosphoproteomic dataset generated to study phosphorylation responses to rapamycin, dasatinib and combination treatment in MDA-MB-231 breast cancer cells. Results: We were able to confirm phosphoproteomic perturbations in expected “hallmark” kinase activities using prediction-based kinase activity inference scores, including decreased phosphorylation of Src and Abl substrates in response to dasatinib treatment, as well as decreases in p70S6K substrate phosphorylation in response to rapamycin. Compared to KSEA, we identified changes in substrate abundance for a variety of potential downstream kinases including DNAPK, PAK2, CDK3, and multiple members of the MAPK family that were observed to be downregulated in single-agent and in combination treatment. Conclusions: Our novel method provides a representation of phosphoproteomic changes based on abundance of predicted kinase substrates. Using predicted substrates allows for a global view of phosphoproteomic changes that extends beyond the relatively small number of known kinase-substrate relationships. Using a drug combination with potential application in breast cancer as an example, we demonstrate that this method can be used to identify phosphoproteomic changes and can potentially be used to rationally design and investigate novel drug combinations. Citation Format: Peter Liao, Jennifer Yori, Ruth Keri, Mehmet Koyuturk, Jill Barnholtz-Sloan. Inference of kinase activity for cancer phosphoproteomics using substrate prediction scores [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2262.

A novel IMAC platform – adenosine coupled functional magnetic microspheres for phosphoproteome research

Immobilized metal affinity chromatography is a powerful method for phosphopeptide enrichment.

Use of Sulfonates as Desorption Agents for Phosphopeptide Elution from an Anion-exchange Material

ABSTRACTIn general, phosphopeptides are specifically adsorbed to the surface of the material at the initial step of phosphopeptide enrichment methods. Thus, nonphosphopeptides can be removed from the media by following the appropriate washing steps. After sufficient washing, the phosphopeptides are eluted from the surface of the material completely for further analysis. Performing the elution of phosphopeptides fully in the enrichment step is very important in terms of determining the whole phosphoproteome profile of a sample by subsequent mass spectrometric analysis. Materials containing anion exchanger groups such as amines on the surface can be used as a selective stationary phase in phosphopeptide enrichment methods. Positively charged groups on the surface of this type of material interact with the phosphate groups of phosphopeptides through electrostatic interactions. Such interactions can be basically manipulated by changing the pH of the medium or replacing the salts present in the solution. Phosphopeptides attached to the surface of anion-exchange materials may be displaced with the addition of highly acidic compounds such as sulfonates to the enrichment medium. Here, we used various sulfonates as desorption agents for the elution of retained phosphopeptides from the surface of an anion-exchange material. We found that differences in the chemical structures and properties of the sulfonates remarkably affected phosphopeptide retrieval from the anion-exchange material.