Search

Well-characterized archival formalin-fixed paraffin-embedded (FFPE) tissues are of much value for prospective biomarker discovery studies, and protocols that offer high throughput and good reproducibility are essential in proteomics. Therefore, we implemented efficient paraffin removal and protein extraction from FFPE tissues followed by an optimized two-enzyme digestion using suspension trapping (S-Trap). The protocol was then combined with TMTpro 16plex labeling and applied to lung adenocarcinoma patient samples. In total, 9585 proteins were identified, and proteins related to the clinical outcome were detected. Because acetylation is known to play a major role in cancer development, a fast on-trap acetylation protocol was developed for studying endogenous lysine acetylation, which allows identification and localization of the lysine acetylation together with quantitative comparison between samples. We demonstrated that FFPE tissues are equivalent to frozen tissues to study the degree of acetylation between patients. In summary, we present a reproducible sample preparation workflow optimized for FFPE tissues that resolves known proteomic-related challenges. We demonstrate compatibility of the S-Trap with isobaric labeling and for the first time, we prove that it is feasible to study endogenous lysine acetylation stoichiometry in FFPE tissues, contributing to better utility of the existing global tissue archives. The MS proteomic data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the data set identifiers PXD020157, PXD021986, and PXD021964.

Adeno-associated virus (AAV) represent a widely used delivery mechanism for gene therapy treatments currently being developed. The size and complexity of these molecules requires the development of sensitive analytical methods for detailed product characterization. Among the quality attributes that need to be monitored, characterization of the AAV capsid protein amino acid sequences and any associated post translational modifications (PTM) present should be performed. As commonly used for recombinant protein analysis, LC-MS based peptide mapping can provide sequence coverage and PTM information to improve product understanding and the development and deployment of the associated manufacturing processes. In the current study, we report a fast and efficient method to digest AAV5 capsid proteins in only 30 minutes prior to peptide mapping analysis. The performance of different proteases in digesting AAV5 was compared and the benefits of using nanoflow liquid chromatography for separation prior to high resolution mass spectrometry to obtain 100% sequence coverage are highlighted. Characterization and quantitation of PTMs on AAV5 capsid proteins when using pepsin as a single protease is reported, thereby demonstrating the potential of this method to aid with complete characterization of AAV serotypes in gene therapy development laboratories.

Background Increasing evidence linking epigenetic mechanisms and different diseases, including cancer, has prompted in the last 15 years the investigation of histone post-translational modifications (PTMs) in clinical samples. Methods allowing the isolation of histones from patient samples followed by the accurate and comprehensive quantification of their PTMs by mass spectrometry (MS) have been developed. However, the applicability of these methods is limited by the requirement for substantial amounts of material. Results To address this issue, in this study we streamlined the protein extraction procedure from low-amount clinical samples and tested and implemented different in-gel digestion strategies, obtaining a protocol that allows the MS-based analysis of the most common histone PTMs from laser microdissected tissue areas containing as low as 1000 cells, an amount approximately 500 times lower than what is required by available methods. We then applied this protocol to breast cancer patient laser microdissected tissues in two proof-of-concept experiments, identifying differences in histone marks in heterogeneous regions selected by either morphological evaluation or MALDI MS imaging. Conclusions These results demonstrate that analyzing histone PTMs from very small tissue areas and detecting differences from adjacent tumor regions is technically feasible. Our method opens the way for spatial epi-proteomics, namely the investigation of epigenetic features in the context of tissue and tumor heterogeneity, which will be instrumental for the identification of novel epigenetic biomarkers and aberrant epigenetic mechanisms.

Simple Summary This review discusses current techniques used to study post-translational protein modifications (PTMs) and their contribution to blood cancer research. Blood cancer is an umbrella term for cancers that affect blood cells and organs of the hematopoietic system, accounting for approximately 10% of all cancer diagnoses. PTMs are crucial for the normal functioning of cells via the regulation of protein structure, function, and localization. Mass spectrometry and antibody-based techniques are powerful analytical tools used for the detection and quantitation of PTMs such as phosphorylation. The application of these techniques in blood cancer research facilitates the identification of abnormal PTMs that contribute to cancer development and progression by promoting cancer cell growth, survival, and invasion. Many FDA-approved blood cancer treatments exert their anti-cancer effects by targeting protein modifications, thus emphasizing the importance of PTM-focused research in the identification of novel biomarkers and therapeutic targets to improve blood cancer survival outcomes. Abstract Post-translational modifications (PTMs) add a layer of complexity to the proteome through the addition of biochemical moieties to specific residues of proteins, altering their structure, function and/or localization. Mass spectrometry (MS)-based techniques are at the forefront of PTM analysis due to their ability to detect large numbers of modified proteins with a high level of sensitivity and specificity. The low stoichiometry of modified peptides means fractionation and enrichment techniques are often performed prior to MS to improve detection yields. Immuno-based techniques remain popular, with improvements in the quality of commercially available modification-specific antibodies facilitating the detection of modified proteins with high affinity. PTM-focused studies on blood cancers have provided information on altered cellular processes, including cell signaling, apoptosis and transcriptional regulation, that contribute to the malignant phenotype. Furthermore, the mechanism of action of many blood cancer therapies, such as kinase inhibitors, involves inhibiting or modulating protein modifications. Continued optimization of protocols and techniques for PTM analysis in blood cancer will undoubtedly lead to novel insights into mechanisms of malignant transformation, proliferation, and survival, in addition to the identification of novel biomarkers and therapeutic targets. This review discusses techniques used for PTM analysis and their applications in blood cancer research.

Protein identification by tandem mass spectrometry sequence database searching is a standard practice in many proteomics laboratories. The de facto standard for the representation of sequence databases used as input to sequence database search tools is the FASTA format. The Human Proteome Organization's Proteomics Standards Initiative has developed an extension to the FASTA format termed the proteomics standards initiative extended FASTA format or PSI extended FASTA format (PEFF) where additional information such as structural annotations are encoded in the protein description lines. Comet has been extended to automatically analyze the post translational modifications and amino acid substitutions encoded in PEFF databases. Comet's PEFF implementation and example analysis results searching a HEK293 dataset against the neXtProt PEFF database are presented.

A large number of post-translational modifications (PTMs) in proteins are buried in the unassigned mass spectrometric (MS) spectra in shot-gun proteomics datasets. Because the modified peptide fragments are low in abundance relative to the corresponding non-modified versions, it is critical to develop tools that allow facile evaluation of assignment of PTMs based on the MS/MS spectra. Such tools would preferably have the ability to allow comparison of fragment ion spectra and retention time between the modified and unmodified peptide pairs or group. Herein, we describe MMS2plot, an R package for visualizing peptide-spectrum matches (PSMs) for multiple peptides. MMS2plot features a batch mode and generates the output images in vector graphics file format that facilitate evaluation and publication of the PSM assignment. We expect MMS2plot to play an important role in PTM discovery from large-scale proteomics datasets generated by LC (liquid chromatography)-MS/MS. The MMS2plot package is freely available at https://github.com/lileir/MMS2plot under the GPL-3 license.

Urinary proteome, as an important component of body fluid proteome, could reflect kidney, urogenital tract function and pathological changes of human organs. This study reports a convenient strategy for urine proteome analysis through ampholine immobilized polymer microsphere (ampholine@PM) fractionation strategy. After ampholine@PM treatment, 16,543 unique peptides corresponding to 2173 non-redundant urinary proteins were identified, while only 856 proteins, corresponding to 3524 peptides were identified in the crude urine sample. The number of proteins and peptides was increased by 1.54 and 3.69 times, respectively. 31 urinary candidate biomarkers have also been identified (17 candidate biomarkers of glomerular injury and 14 candidate biomarkers of tubular injury), showing the potential of our strategy in urinary biomarker discovery study. In additional to the urine proteome, N-glycoproteome analysis was also performed after ampholine@PM fractionation followed by the N-glycopeptides enrichment. The number was increased from 144 to 281 for N-glycoproteins, 261 to 709 for N-glycopeptides, and 226 to 493 for N-glycosylation sites, after ampholine@PM treatment. Based on the significant increase on the identified N-glycoprotein number, ampholine@PM fractionation strategy also offered a beneficial tool for the post translational modification analysis of urine proteome.

Adeno-associated virus (AAV) represent a widely used delivery mechanism for gene therapy treatments currently being developed. The size and complexity of these molecules requires the development of sensitive analytical methods for detailed product characterization. Among the quality attributes that need to be monitored, characterization of the AAV capsid protein amino acid sequences and any associated post translational modifications (PTM) present, should be performed. As commonly used for recombinant protein analysis, LC-MS based peptide mapping can provide sequence coverage and PTM information to improve product understanding and the development and deployment of the associated manufacturing processes. In the current study, we report a fast and efficient method to digest AAV5 capsid proteins in only 30 min prior to peptide mapping analysis. The performance of different proteases in digesting AAV5 was compared and the benefits of using nanoflow liquid chromatography for separation prior to high resolution mass spectrometry to obtain 100% sequence coverage are highlighted. Characterization and quantitation of PTMs on AAV5 capsid proteins when using pepsin as a single protease is reported, thereby demonstrating the potential of this method to aid with complete characterization of AAV serotypes in gene therapy development laboratories.

Reversed phase liquid chromatography with mass spectrometry (RPLC-MS) peptide mapping is routinely used for interrogating molecular and structural attributes such as amino acid composition, sequence variants, and post-translational modifications (PTMs) in antibody-derived therapeutics. RPLC has some limitations that often impact the analysis of certain peptides including large hydrophobic peptides, hydrophilic di-/tripeptides and glycopeptides. Capillary zone electrophoresis with mass spectrometry (CZE-MS) has great potential for peptide mapping due to high efficiency and outstanding sensitivity. In this report we demonstrate the utility of CZE-MS as an orthogonal and complementary technique to RPLC-MS for peptide mapping analyses of antibody-drug conjugates (ADCs) and their parent antibodies. This work is based on high-resolution CZE-MS separation recently developed in our group, where a mixed aqueous-organic solvent system containing N,N-dimethylacetamide (DMA) or N,N-dimethylformamide (DMF) was used to improve the separation selectivity. The results described here show several advantages of CZE-MS for the analysis of small hydrophilic di-/tripeptides, large hydrophobic peptides, glycopeptides, and hydrophobic drug-linked peptides.

Rationale: Porous graphic carbon chromatography (PGC) has a different mechanism in the retention of tryptic peptides compared with reversed‐phase chromatography and in this study we show that coupling PGC with tandem mass spectrometry offer advantages for the quantitation of phosphorylation stoichiometry and characterization of site‐specific glycosylation. Methods: Digests of protein standards (horse myoglobin, bovine fetuin and β‐casein) were analyzed with a capillary liquid chromatography/tandem mass spectrometry (LC/MS/MS) system by coupling an Agilent 1100 HPLC system to a Synapt G2‐Si HDMS (Waters). Peptides were separated using a HyperCarb PGC column (300 μm i.d. × 100 mm) packed with 3 μm particles. MS/MS data were collected in data‐dependent mode and three MS/MS scans were acquired after the full MS scan. RAW data were transformed to .mgf by PLGS (Waters) and searched against the Swissprot database by Mascot. Chromatograms and MS/MS spectra of identified compounds were extracted with Masslynx (Waters) and imported to Origin for analysis. Glycan composition and peptide sequence were manually annotated. Results: PGC/MS/MS enabled accurate quantitation of the stoichiometry of specific phosphorylation sites from β‐casein by efficient separation of the phosphopeptide and its non‐phosphorylated counterpart, which cannot be achieved by reversed‐phase chromatography. PGC/MS/MS also enabled comprehensive characterization of protein sialoglycosylation as isomeric glycopeptides with different combinations of α2‐3‐ and α2‐6‐linked sialic acids can be separated and the ratios of each combination were verified by exoglycosidase digestion. Conclusions: PGC has demonstrated superior separation of peptides with phosphorylation and glycosylation and can be used as an alternative in the proteomic characterization of post‐translational modifications (PTMs) by polar groups.

Free radical-initiated peptide sequencing mass spectrometry (FRIPS MS) was employed to analyze a number of representative singly or doubly protonated phosphopeptides (phosphoserine and phosphotyrosine peptides) in positive ion mode. In contrast to collision-activated dissociation (CAD) results, a loss of a phosphate group occurred to a limited degree for both phosphoserine and phosphotyrosine peptides, and thus, localization of a phosphorylated site was readily achieved. Considering that FRIPS MS supplies a substantial amount of collisional energy to peptides, this result was quite unexpected because a labile phosphate group was conserved. Analysis of the resulting peptide fragments revealed the extensive production of a-, c-, x-, and z-type fragments (with some minor b- and y-type fragments), suggesting that radical-driven peptide fragmentation was the primary mechanism involved in the FRIPS MS of phosphopeptides. Results of this study clearly indicate that FRIPS MS is a promising tool for the characterization of post-translational modifications such as phosphorylation. Graphical Abstract.

Synthetic isotope labeled phosphopeptides are valuable tools for the quantification and validation of phosphoproteome data. Here, we report that the same set of phosphopeptides, which are used as spike-in standards, can be successfully applied for identification of stimulus specific protein-protein interactions mediated by the respective phosphorylation sites. As a proof-of-concept, binding of two γH2AX (pS139) phosphosite specific interaction partners, MDC1 and 53BP1, was confirmed and elevated binding affinity was revealed in response to ionizing radiation. Our strategy is generally applicable and enables multiplexed validation and functional analysis of phosphorylation sites offering great potential for the follow-up of phosphoproteome studies.

The aspect of time is essential in biological processes and thus it is important to be able to monitor signaling molecules through time. Proteins are key players in cellular signaling and they respond to many stimuli and change their expression in many time-dependent processes. Mass spectrometry (MS) is an important tool for studying proteins, including their posttranslational modifications and their interaction partners-both in qualitative and quantitative ways. In order to distinguish the different trends over time, proteins, modification sites, and interacting proteins must be compared between different time points, and therefore relative quantification is preferred. In this review, the progress and challenges for MS-based analysis of time-resolved proteome dynamics are discussed. Further, aspects on model systems, technologies, sampling frequencies, and presentation of the dynamic data are discussed.

We have combined 2-D SDS-PAGE with liquid chromatography-high resolving mass spectrometry (LC-MS) to explore the proteome of the adenovirus type 2 (Ad2) at the level of post translational modifications (PTMs). The experimental design included in-solution digestion, followed by titanium dioxide enrichment, as well as in-gel digestion of polypeptides after separation of Ad2 capsid proteins by 1-D and 2-D SDS-PAGE. All samples were analyzed using LC-MS with subsequent manual verification of PTM positions. The results revealed new phosphorylation sites that can explain the observed trains of protein spots observed for the pIII, pIIIa and pIV proteins. The pIIIa protein was found to be the most highly modified protein with now 18 verified sites of phosphorylation, three sites of nitrated tyrosine and one sulfated tyrosine. Nitrated tyrosines were also identified in pII. Lysine acetylations were detected in pII and pVI. The findings make the Ad2 virion much more complex than hitherto believed.

Post-translationally modified peptides present in low concentrations are often not selected for CID, resulting in no sequence information for these peptides. We have developed a software POSTMan (POST-translational Modification analysis) allowing post-translationally modified peptides to be targeted for fragmentation. The software aligns LC-MS runs (MS(1) data) between individual runs or within a single run and isolates pairs of peptides which differ by a user defined mass difference (post-translationally modified peptides). The method was validated for acetylated peptides and allowed an assessment of even the basal protein phosphorylation of phenylalanine hydroxylase (PHA) in intact cells.

Background Post-translational modifications have a substantial influence on the structure and functions of protein. Post-translational phosphorylation is one of the most common modification that occur in intracellular proteins. Accurate prediction of protein phosphorylation sites is of great importance for the understanding of diverse cellular signalling processes in both the human body and in animals. In this study, we propose a new machine learning based protein phosphorylation site predictor, SiteSeek. SiteSeek is trained using a novel compact evolutionary and hydrophobicity profile to detect possible protein phosphorylation sites for a target sequence. The newly proposed method proves to be more accurate and exhibits a much stable predictive performance than currently existing phosphorylation site predictors. Results The performance of the proposed model was compared to nine existing different machine learning models and four widely known phosphorylation site predictors with the newly proposed PS-Benchmark_1 dataset to contrast their accuracy, sensitivity, specificity and correlation coefficient. SiteSeek showed better predictive performance with 86.6% accuracy, 83.8% sensitivity, 92.5% specificity and 0.77 correlation-coefficient on the four main kinase families (CDK, CK2, PKA, and PKC). Conclusion Our newly proposed methods used in SiteSeek were shown to be useful for the identification of protein phosphorylation sites as it performed much better than widely known predictors on the newly built PS-Benchmark_1 dataset.