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We revisited protein reversed-phase chromatography (RP), using state-of-the-art RP columns developed for biopharmaceuticals, such as monoclonal antibodies, in order to evaluate the suitability of this methodology as a prefractionation step for bottom-up proteomics. The protein RP prefractionation (Prot-RP) method was compared with two other widely used prefractionation methods, SDS-PAGE and high-pH peptide RP (Pept-RP) by using cell lysates as samples. The overlap between fractions of Prot-RP was comparable to that of SDS-PAGE, and the protein recovery was approximately 2-fold higher. On the other hand, the overlap between fractions of Prot-RP was slightly larger than that of Pept-RP, but Prot-RP was able to identify more protein termini and more isoform-specific peptides than Pept-RP. Our results indicate that the combination of highly efficient protein prefractionation with modern mass spectrometers is particularly effective for proteoform profiling from cellular samples.

We have developed a one-step isolation method for protein N-terminal peptides from LysargiNase digests by pipette tip-based strong cation exchange (SCX) chromatography. This CHAMP-N (CHromatographic AMplification of Protein N-terminal peptides) method using disposable and parallel-processable SCX tips instead of conventional HPLC SCX columns facilitates simple, sensitive, reproducible, and high-throughput N-terminomic profiling without sacrificing the high identification numbers and selectivity achieved by the HPLC-based method. By applying the CHAMP-N method to HEK293T cells, we identified novel cleavage sites for signal and transit peptides and non-canonical translation initiation sites. Finally, for proteome-wide terminomics, we present a simple and comprehensive N- and C-terminomics platform employing three different tip-based approaches, including CHAMP-N, in which protease digestion and one-step isolation by tip LC are commonly used to achieve complementary terminome coverages., Competing Interests: Conflict of interest The authors declare that they have no conflicts of interest with the contents of this article., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Proteins can be modified by lipids in various ways, for example, by myristoylation, palmitoylation, farnesylation, and geranylgeranylation-these processes are collectively referred to as lipidation. Current chemical proteomics using alkyne lipids has enabled the identification of lipidated protein candidates but does not identify endogenous lipidation sites and is not readily applicable to in vivo systems. Here, we introduce a proteomic methodology for global analysis of endogenous protein N-terminal myristoylation sites that combines liquid-liquid extraction of hydrophobic lipidated peptides with liquid chromatography-tandem mass spectrometry using a gradient program of acetonitrile in the high concentration range. We applied this method to explore myristoylation sites in HeLa cells and identified a total of 75 protein N-terminal myristoylation sites, which is more than the number of high-confidence myristoylated proteins identified by myristic acid analog-based chemical proteomics. Isolation of myristoylated peptides from HeLa digests prepared with different proteases enabled the identification of different myristoylated sites, extending the coverage of N-myristoylome. Finally, we analyzed in vivo myristoylation sites in mouse tissues and found that the lipidation profile is tissue-specific. This simple method (not requiring chemical labeling or affinity purification) should be a promising tool for global profiling of protein N-terminal myristoylation., Competing Interests: Conflict of interest The authors declare that they have no conflicts of interest with the contents of this article., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

As the first in-person Asia Oceania Human Proteomics Organization (AOHUPO) congress since 2018, the 11th AOHUPO congress was an opportune time for the research community to reconnect and to renew friendships after the long period of restricted travel due to the global pandemic. Moreover, this congress was a great opportunity for the many AO regional proteomics and mass spectrometry scientists to meet in Singapore to exchange ideas and to present their latest findings. Cohosted by the Singapore Society for Mass Spectrometry and the Malaysian Proteomics Society and held in conjunction with the seventh Asia Oceania Agricultural Proteomics Organization Congress and Singapore Society for Mass Spectrometry 2023, the meeting featured both human and agricultural proteomics. Over five hundred scientists from the AO region converged on the MAX Atria @ Singapore EXPO, Changi, Singapore from May 8 to 10 for the main congress. The diverse program was made up of 64 invited speakers and panellists for seven plenary lectures, 27 concurrent symposia, precongress and postcongress workshops, and 174 poster presentations. The AOHUPO society were able to celebrate not only their 20th anniversary but also the outstanding academic research from biological and agricultural proteomics and related 'omics fields being conducted across the Asia-Oceania region., Competing Interests: Conflict of interest The authors declare no competing interests., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Achieving sufficient coverage of regulatory phosphorylation sites by mass spectrometry (MS)-based phosphoproteomics for signaling pathway reconstitution is challenging, especially when analyzing tiny sample amounts. To address this, we present a hybrid data-independent acquisition (DIA) strategy (hybrid-DIA) that combines targeted and discovery proteomics through an Application Programming Interface (API) to dynamically intercalate DIA scans with accurate triggering of multiplexed tandem mass spectrometry (MSx) scans of predefined (phospho)peptide targets. By spiking-in heavy stable isotope labeled phosphopeptide standards covering seven major signaling pathways, we benchmark hybrid-DIA against state-of-the-art targeted MS methods (i.e., SureQuant) using EGF-stimulated HeLa cells and find the quantitative accuracy and sensitivity to be comparable while hybrid-DIA also profiles the global phosphoproteome. To demonstrate the robustness, sensitivity, and biomedical potential of hybrid-DIA, we profile chemotherapeutic agents in single colon carcinoma multicellular spheroids and evaluate the phospho-signaling difference of cancer cells in 2D vs 3D culture., (© 2023. The Author(s).)

Mitochondrial ribosomes are specialized to translate the 13 membrane proteins encoded in the mitochondrial genome, which shapes the oxidative phosphorylation complexes essential for cellular energy metabolism. Despite the importance of mitochondrial translation (MT) control, it is challenging to identify and quantify the mitochondrial-encoded proteins because of their hydrophobic nature and low abundance. Here, we introduce a mass spectrometry-based proteomic method that combines biochemical isolation of mitochondria with pulse stable isotope labeling by amino acids in cell culture. Our method provides the highest protein identification rate with the shortest measurement time among currently available methods, enabling us to quantify 12 of the 13 mitochondrial-encoded proteins. We applied this method to uncover the global picture of (post-)translational regulation of both mitochondrial- and nuclear-encoded subunits of oxidative phosphorylation complexes. We found that inhibition of MT led to degradation of orphan nuclear-encoded subunits that are considered to form subcomplexes with the mitochondrial-encoded subunits. This method should be readily applicable to study MT programs in many contexts, including oxidative stress and mitochondrial disease., Competing Interests: Conflict of interest The authors declare that they have no conflicts of interest with the contents of this article., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

Despite the general acceptance of formic acid as the additive of choice for peptide reversed-phase LC-MS/MS applications, some still argue that the selection of acetic acid represents a better option. To settle this debate, we investigated both the difference in MS sensitivity and chromatographic behavior of peptides between these two systems. This interlaboratory study was performed using different MS setups and C18 separation media employing both 0.1% formic and 0.5% acetic acid as ion pairing modifiers. Relative to formic acid, we find an overall ∼2.2-2.5× increase in MS signal and a slight decrease in RP LC retention (-0.7% acetonitrile on average) for acetic acid conditions. While these two features have opposing effects on peptide detectability, we find that acetic acid produces up to 60% higher peptide ID output depending on the type of sample. The drop in RPLC retention increases with peptide net charge at acidic pH. MS signal is dependent on the difference between the charge of the precursor ion and the charge of the peptide in solution, favoring species with a low pI. Lower peptide retention under acetic acid conditions demonstrates its higher hydrophilicity and, as expected, leads to composition and sequence-dependent character of the observed retention shift.

Mass spectrometry (MS) is by far the most used experimental approach in high-throughput proteomics. The ProteomeXchange (PX) consortium of proteomics resources (http://www.proteomexchange.org) was originally set up to standardize data submission and dissemination of public MS proteomics data. It is now 10 years since the initial data workflow was implemented. In this manuscript, we describe the main developments in PX since the previous update manuscript in Nucleic Acids Research was published in 2020. The six members of the Consortium are PRIDE, PeptideAtlas (including PASSEL), MassIVE, jPOST, iProX and Panorama Public. We report the current data submission statistics, showcasing that the number of datasets submitted to PX resources has continued to increase every year. As of June 2022, more than 34 233 datasets had been submitted to PX resources, and from those, 20 062 (58.6%) just in the last three years. We also report the development of the Universal Spectrum Identifiers and the improvements in capturing the experimental metadata annotations. In parallel, we highlight that data re-use activities of public datasets continue to increase, enabling connections between PX resources and other popular bioinformatics resources, novel research and also new data resources. Finally, we summarise the current state-of-the-art in data management practices for sensitive human (clinical) proteomics data., (© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.)

In 2021, the Asia-Oceania Human Proteome Organization (AOHUPO) initiated a new endeavor named the AOHUPO Online Education Series with the aim to promote scientific education and collaboration, exchange of ideas and culture among the young scientists in the AO region. Following the warm participation, the AOHUPO organized the second series in 2022, with the theme "The Renaissance of Clinical Proteomics: Biomarkers, Imaging and Therapeutics". This time, the second AOHUPO Online Education Series was hosted by the UKM Medical Molecular Biology Institute (UMBI) affiliated to the National University of Malaysia (UKM) in Kuala Lumpur, Malaysia on three consecutive Fridays (11th, 18th and 25th of March). More than 300 participants coming from 29 countries/regions registered for this 3-days event. This event provided an amalgamation of six prominent speakers and all participants whose interests lay mainly in applying MS-based and non-MS-based proteomics for clinical investigation., Competing Interests: Conflict of interest The authors declare that they have no conflict of interest with the contents of this article., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

Recent advances in biotinylation-based proximity labelling (PL) have opened up new avenues for mapping the protein composition of cellular compartments and protein complexes in living cells at high spatiotemporal resolution. In particular, PL combined with mass spectrometry-based proteomics has been successfully applied to defining protein-protein interactions, protein-nucleic acid interactions, (membraneless) organelle proteomes and secretomes in various systems ranging from cultured cells to whole animals. In this review, we first summarize the basics and recent biological applications of PL proteomics and then highlight recent developments in enrichment techniques for biotinylated proteins and peptides, focusing on the advantages of PL and technical considerations., (© The Author(s) 2021. Published by Oxford University Press on behalf of the Japanese Biochemical Society. All rights reserved.)

We established a workflow for highly sensitive multiplexed quantitative phosphoproteomics using a nanoscale solid-phase tandem mass tag (TMT) labeling reactor. Phosphopeptides were first enriched by titanium oxide chromatography and then labeled with isobaric TMT reagents in a StageTip packed with hydrophobic polymer-based sorbents. We found that TMT-labeled singly phosphorylated peptides tend to flow through the titanium oxide column. Therefore, TMT labeling should be performed after the enrichment step from tryptic peptides, resulting in the need for microscale reactions with small amounts of phosphopeptides. Using an optimized protocol for tens to hundreds of nanograms of phosphopeptides, we obtained a nearly 10-fold increase in sensitivity compared to the conventional solution-based TMT protocol. We demonstrate that this nanoscale phosphoproteomics protocol works for 50 μg of HeLa proteins treated with selumetinib, and we successfully quantified the selumetinib-regulated phosphorylated sites on a proteome scale. The MS raw data files have been deposited with the ProteomeXchange Consortium via the jPOST partner repository (https://jpostdb.org) with the data set identifier PXD025536.

Characterization of protein termini is essential for understanding how the proteome is generated through biological processes such as post-translational proteolytic events. Here, we introduce a practical protocol for terminomics to achieve simple and sensitive N- and C-terminal peptide enrichment. We apply it to the terminome analysis of culture supernatants of a human cancer cell line for the purpose of identifying ectodomain shedding substrate cleavage sites with 10 μg protein per sample. For complete details on the use and execution of this protocol, please refer to Tsumagari et al. (2021)., Competing Interests: The authors declare no competing interests., (© 2021 The Author(s).)

Recent advances in the liquid chromatography/mass spectrometry (LC/MS) technology have improved the sensitivity, resolution, and speed of proteome analysis, resulting in increasing demand for more sophisticated algorithms to interpret complex mass spectrograms. Here, we propose a novel statistical method, proteomic mass spectrogram decomposition (ProtMSD), for joint identification and quantification of peptides and proteins. Given the proteomic mass spectrogram and the reference mass spectra of all possible peptide ions associated with proteins as a dictionary, ProtMSD estimates the chromatograms of those peptide ions under a group sparsity constraint without using the conventional careful preprocessing (e.g., thresholding and peak picking). We show that the method was significantly improved using protein-peptide hierarchical relationships, isotopic distribution profiles, reference retention times of peptide ions, and prelearned mass spectra of noise. We examined the concept of database search, library search, and match-between-runs. Our ProtMSD showed excellent agreements of 3277 peptide ions (94.79%) and 493 proteins (98.21%) with Mascot/Skyline for an Escherichia coli proteome sample and of 4460 peptide ions (103%) and 588 proteins (101%) with match-between-runs by MaxQuant for a yeast proteome sample. This is the first attempt to use a matrix decomposition technique as a tool for LC/MS-based proteome identification and quantification.

Monitoring translational regulation in response to environmental signals is crucial for understanding cellular proteostasis. However, only limited approaches are currently available for quantifying acute changes in protein synthesis induced by stimuli. Recently, a clickable puromycin analogue, O-propargyl-puromycin (OPP), was developed and applied to label the C-termini of nascent polypeptide chains (NPCs). Following affinity purification via a click reaction, OPP allows for a proteomic analysis of NPCs. Despite its advantage, the affinity purification of NPCs using magnetic beads or resins inherently suffers from significant non-specific protein binding, which hinders accurate quantification of the nascent proteins. To address this issue, we employed dual-pulse labelling of NPCs with both OPP and stable isotope-labelled amino acids to distinguish bona fide NPCs from non-specific proteins, thereby enabling the accurate quantitative profiling of NPCs. We applied this method to dissecting translation responses upon transcriptional inhibition and quantified ∼3,000 nascent proteins. We found that the translation of a subset of ribosomal proteins (e.g. RPSA, RPLP0) as well as signalling proteins (e.g. BCAR3, EFNA1, DUSP1) was significantly repressed by transcription inhibition. Together, the present method provides an accurate and broadly applicable nascent proteome profiling for many biological applications at the level of translation., (© The Author(s) 2020. Published by Oxford University Press on behalf of the Japanese Biochemical Society. All rights reserved.)

Reversed-phase solid-phase extraction (SPE) techniques are commonly used for desalting samples before LC/MS/MS in shotgun proteomics. However, hydrophilic peptides are often lost during the desalting step under the standard SPE conditions. Here, we describe a simple protocol in which a stop-and-go extraction tip packed with a poly(styrene-divinylbenzene) copolymer disc is used at 4 °C during sample loading without any organic solvent. Using this method, which we designate as the CoolTip protocol, we identified 2.9-fold more tryptic peptides and 6.1-fold more tryptic phosphopeptides from HeLa lysates than the standard SPE protocol for hydrophilic peptides, with a mobile phase of less than 8% acetonitrile in LC/MS/MS. There was no decrease in the recovery of hydrophobic peptides. CoolTip also provided better quantitative reproducibility in LC/MS/MS analysis. We anticipate that this protocol will provide improved performance in many kinds of shotgun proteomics experiments., Competing Interests: Conflict of interest The authors declare no competing interests., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)

The Asia-Oceania Human Proteome Organization (AOHUPO; www.aohupo.org) was officially founded on June 7, 2001, by Richard J. Simpson (Australia), Akira Tsugita (Japan), and Young-Ki Paik (Korea) and launched on October 1-4, 2001, at the second scientific meeting of the International Proteomics Conference held in Canberra, Australia. Inaugural council members of the AOHUPO elected were Richard J. Simpson (Australia, president), Qi-Chang Xia (China), Kazuyuki Nakamura (Japan), Akira Tsugita (Japan, VIce President), Young-Ki Paik (Korea, secretary general), Mike Hubbard (New Zealand), Max C. M. Chung (Singapore), Shui-Tien Chen (Taiwan), and John Bennett (Philippines). The first AOHUPO conference was held on March 26-27, 2002, at the Seoul National University, Seoul, Korea, conjointly with the second Annual Meeting of KHUPO. Since then, biennial AOHUPO conferences have been held in Taipei (2004), Singapore (2006), Cairns (2008), Hyderabad (2010), Beijing (2012), Bangkok (2014), Sun Moon Lake (2016), and Osaka (2018). The 10th AOHUPO conference is scheduled to be held in Busan on June 30 to July 2, 2021, to celebrate our 20th anniversary., Competing Interests: Conflict of interest The authors declare no competing interests., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)

In recent years, mass spectrometry-based proteomics approach has made significant progress and the number of datasets related to various proteomics projects has increased worldwide. To promote the sharing and reuse of promising datasets, it is important to build an appropriate, high-quality public data repository. For this purpose, several repositories have already been created. The jPOST repository that we developed in 2016 has successfully implemented several unique features, such as fast file upload, flexible file management, and an easy-to-use interface. In addition, this repository is an official member of the ProteomeXchange Consortium established to facilitate standard data submission and global dissemination of mass spectrometry proteomics data. Our repository contributes to the global partnership for sharing and storing all the datasets related to various proteomics experiments.

Protein phosphorylation can induce signal transduction to change sperm motility patterns during sperm capacitation. However, changes in the phosphorylation of sperm proteins in mice are still incompletely understood. Here, capacitation-related phosphorylation in mouse sperms were firstly investigated by label-free quantitative (LFQ) phosphoproteomics coupled with bioinformatics analysis using ingenuity pathway analysis (IPA) methods such as canonical pathway, upstream regulator, and network analysis. Among 1632 phosphopeptides identified at serine, threonine, and tyrosine residues, 1050 novel phosphosites, corresponding to 402 proteins, were reported. Gene heatmaps for IPA canonical pathways showed a novel role for GSK-3 in GP6 signaling pathways associated with capacitation for 60 min. At the same time, the reduction of the abundant isoform-specific GSK-3α expression was shown by western blot (WB) while the LFQ pY of this isoform slightly decreased and then increased. The combined results from WB and LFQ methods explain the less inhibitory phosphorylation of GSK-3α during capacitation and also support the predicted increases in its activity. In addition, pAKAP4 increased at the Y156 site but decreased at the Y811 site in a capacitated state, even though IPA network analysis and WB analysis for overall pAKAP revealed upregulated trends. The potential roles of GSK-3 and AKAP4 in fertility are discussed.

Two-dimensional separation by nano-LC and trapped ion mobility spectrometry (TIMS) prior to Q/TOF tandem mass spectrometry significantly improves the accuracy of isobaric tag-based quantitation in proteome analysis without the need for additional measurement time for TIMS insertion between LC and Q/TOF MS. The obtained peak capacity of up to 3300 h -1 in LC/TIMS reduced the coisolation of precursor ions at the quadrupole analyzer, resulting in more accurate ratios of reporter ions derived from isobaric tags in product ion spectra obtained at the TOF analyzer. We also found that TIMS with a narrower quadrupole isolation window could reduce the ratio compression effect at least as effectively as the synchronous precursor selection method using MS3 scans without compromising sensitivity or coverage. Our results suggest that the 65 min gradient LC/TIMS/Q/TOF system is an excellent platform for high-throughput proteomics studies.

The ProteomeXchange (PX) consortium of proteomics resources (http://www.proteomexchange.org) has standardized data submission and dissemination of mass spectrometry proteomics data worldwide since 2012. In this paper, we describe the main developments since the previous update manuscript was published in Nucleic Acids Research in 2017. Since then, in addition to the four PX existing members at the time (PRIDE, PeptideAtlas including the PASSEL resource, MassIVE and jPOST), two new resources have joined PX: iProX (China) and Panorama Public (USA). We first describe the updated submission guidelines, now expanded to include six members. Next, with current data submission statistics, we demonstrate that the proteomics field is now actively embracing public open data policies. At the end of June 2019, more than 14 100 datasets had been submitted to PX resources since 2012, and from those, more than 9 500 in just the last three years. In parallel, an unprecedented increase of data re-use activities in the field, including 'big data' approaches, is enabling novel research and new data resources. At last, we also outline some of our future plans for the coming years., (© The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.)

We found that nuclear envelopes stabilize against surfactants in the presence of ethylene glycol (EG). We, therefore, developed a novel subcellular fractionation approach for proteomics using RIPA buffer containing EG and phase transfer surfactants. This method involves separating the cells into the cytoplasm, organelles, and nucleus, including intermediate filaments without ultracentrifugation. These fractions are directly applicable to sample preparation for shotgun proteomics as they have no mass spectrometry (MS)-incompatible chemicals, whereas those separated by traditional fractionation protocols require desalting. This protocol is successfully applied to subcellular fractionation with only 3.5 × 10 5 cells. Here, it was combined with phosphoproteomics and proteomics to identify phosphorylation sites regulating protein subcellular localization. In total, 59 phosphorylation sites on 42 phosphopeptides and 32 proteins showing different enrichment patterns between phosphoproteomics and the corresponding proteomics were identified, which are potential candidate sites to regulate the protein subcellular localization, including serine 706 on CD44 and serine 22 on lamin A/C.

Kinase networks are important for cellular signal transduction. Despite tremendous efforts to uncover these signaling pathways, huge numbers of uncharacterized phosphosites still remain in the human proteome. Because of the transient nature of kinase-substrate interactions in vivo, it is almost impossible to identify direct substrates. Here, we present a strategy for the rapid, accurate and high-throughput discovery of in vitro kinase substrates using quantitative proteomics. Using 385 purified kinases (354 wild-type protein kinases, 21 mutants and 10 lipid kinases), we identified a total of 175,574 potential direct kinase substrates. In addition, we identified novel kinase groups, such as one group containing 30 threonine-directed kinases and another containing 15 serine/threonine/tyrosine kinases. Surprisingly, we observed that the diversity of substrates for tyrosine kinases was much higher than that for serine-threonine kinases.

Rapid progress in mass spectrometry (MS) has made comprehensive analyses of the proteome possible, but accurate quantification remains challenging. Isobaric tags for relative and absolute quantification (iTRAQ) is widely used as a tool to quantify proteins expressed in different cell types and various cellular conditions. The quantification precision of iTRAQ is quite high, but the accuracy dramatically decreases in the presence of interference peptides that are coeluted and coisolated with the target peptide. Here, we developed "removal of interference mixture MS/MS spectra (RiMS)" to improve the quantification accuracy of isobaric tag approaches. The presence of spectrum interference is judged by examining the overlap in the elution time of all scanned precursor ions. Removal of this interference decreased protein identification (11% loss) but improved quantification accuracy. Further, RiMS does not require any specialized equipment, such as MS 3 instruments or an additional ion separation mode. Finally, we demonstrated that RiMS can be used to quantitatively compare human-induced pluripotent stem cells and human dermal fibroblasts, as it revealed differential protein expressions that reflect the biological characteristics of the cells.

Rapid progress is being made in mass spectrometry (MS)-based proteomics, yielding an increasing number of larger datasets with higher quality and higher throughput. To integrate proteomics datasets generated from various projects and institutions, we launched a project named jPOST (Japan ProteOme STandard Repository/Database, https://jpostdb.org/) in 2015. Its proteomics data repository, jPOSTrepo, began operations in 2016 and has accepted more than 10 TB of MS-based proteomics datasets in the past two years. In addition, we have developed a new proteomics database named jPOSTdb in which the published raw datasets in jPOSTrepo are reanalyzed using standardized protocol. jPOSTdb provides viewers showing the frequency of detected post-translational modifications, the co-occurrence of phosphorylation sites on a peptide and peptide sharing among proteoforms. jPOSTdb also provides basic statistical analysis tools to compare proteomics datasets.

Emerging evidence indicates that heterogeneity in ribosome composition can give rise to specialized functions. Until now, research mainly focused on differences in core ribosomal proteins and associated factors. The effect of posttranslational modifications has not been studied systematically. Analyzing ribosome heterogeneity is challenging because individual proteins can be part of different subcomplexes (40S, 60S, 80S, and polysomes). Here we develop polysome proteome profiling to obtain unbiased proteomic maps across ribosomal subcomplexes. Our method combines extensive fractionation by sucrose gradient centrifugation with quantitative mass spectrometry. The high resolution of the profiles allows us to assign proteins to specific subcomplexes. Phosphoproteomics on the fractions reveals that phosphorylation of serine 38 in RPL12/uL11, a known mitotic CDK1 substrate, is strongly depleted in polysomes. Follow-up experiments confirm that RPL12/uL11 phosphorylation regulates the translation of specific subsets of mRNAs during mitosis. Together, our results show that posttranslational modification of ribosomal proteins can regulate translation., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Reliable quantitation of protein abundances in defined sets of cellular proteins is critical to numerous biological applications. Traditional immunodetection-based methods are limited by the quality and availability of specific antibodies, especially for site-specific post-translational modifications. Targeted proteomic methods, including the recently developed parallel reaction monitoring (PRM) mass spectrometry, have enabled accurate quantitative measurements of up to a few hundred specific target peptides. However, the degree of practical multiplexing in label-free PRM workflows remains a significant limitation for the technique. Here we present a strategy for significantly increasing multiplexing in label-free PRM that takes advantage of the superior separation characteristics and retention time stability of meter-scale monolithic silica-C18 column-based chromatography. We show the utility of the approach in quantifying kinase abundances downstream of previously developed active kinase enrichment methodology based on multidrug inhibitor beads. We examine kinase activation dynamics in response to three different MAP kinase inhibitors in colorectal carcinoma cells and demonstrate reliable quantitation of over 800 target peptides from over 150 kinases in a single label-free PRM run. The kinase activity profiles obtained from these analyses reveal compensatory activation of TGF-β family receptors as a response to MAPK blockade. The gains achieved using this label-free PRM multiplexing strategy will benefit a wide array of biological applications., (© 2017 by The American Society for Biochemistry and Molecular Biology, Inc.)

Major advancements have recently been made in mass spectrometry-based proteomics, yielding an increasing number of datasets from various proteomics projects worldwide. In order to facilitate the sharing and reuse of promising datasets, it is important to construct appropriate, high-quality public data repositories. jPOSTrepo (https://repository.jpostdb.org/) has successfully implemented several unique features, including high-speed file uploading, flexible file management and easy-to-use interfaces. This repository has been launched as a public repository containing various proteomic datasets and is available for researchers worldwide. In addition, our repository has joined the ProteomeXchange consortium, which includes the most popular public repositories such as PRIDE in Europe for MS/MS datasets and PASSEL for SRM datasets in the USA. Later MassIVE was introduced in the USA and accepted into the ProteomeXchange, as was our repository in July 2016, providing important datasets from Asia/Oceania. Accordingly, this repository thus contributes to a global alliance to share and store all datasets from a wide variety of proteomics experiments. Thus, the repository is expected to become a major repository, particularly for data collected in the Asia/Oceania region., (© The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.)

The ProteomeXchange (PX) Consortium of proteomics resources (http://www.proteomexchange.org) was formally started in 2011 to standardize data submission and dissemination of mass spectrometry proteomics data worldwide. We give an overview of the current consortium activities and describe the advances of the past few years. Augmenting the PX founding members (PRIDE and PeptideAtlas, including the PASSEL resource), two new members have joined the consortium: MassIVE and jPOST. ProteomeCentral remains as the common data access portal, providing the ability to search for data sets in all participating PX resources, now with enhanced data visualization components.We describe the updated submission guidelines, now expanded to include four members instead of two. As demonstrated by data submission statistics, PX is supporting a change in culture of the proteomics field: public data sharing is now an accepted standard, supported by requirements for journal submissions resulting in public data release becoming the norm. More than 4500 data sets have been submitted to the various PX resources since 2012. Human is the most represented species with approximately half of the data sets, followed by some of the main model organisms and a growing list of more than 900 diverse species. Data reprocessing activities are becoming more prominent, with both MassIVE and PeptideAtlas releasing the results of reprocessed data sets. Finally, we outline the upcoming advances for ProteomeXchange., (© The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Direct measurement of site-specific phosphorylation stoichiometry can unambiguously distinguish whether the degree of phosphorylation is regulated by upstream kinase/phosphatase activity or by transcriptional regulation to alter protein expression level. Here, we describe a motif-targeting quantitative proteomic approach that integrates dephosphorylation, isotope tag labeling, and enzymatic kinase reaction for large-scale phosphorylation stoichiometry measurement of the human proteome.

Zinc signaling and dynamics play significant roles in many physiological responses and diseases. To understand the physiological roles of zinc in detail, comprehensive identification of proteins under high concentration of mobile zinc ion is crucial. We developed a 'conditional proteomics' approach to identify proteins involved in zinc homeostasis based on a chemical proteomic strategy that utilizes designer zinc-responsive labeling reagents to tag such proteins and quantitative mass spectrometry for their identification. We used this method to elucidate zinc dyshomeostasis induced by nitric-oxide-triggered oxidative stress in glioma cells, and we unveiled dynamic changes of the zinc-related proteomes. Moreover, we characterized unknown zinc-rich vesicles generated by oxidative stress as endoplasmic-reticulum- and Golgi-related vesicles.

Protein phosphorylation mediated by protein kinases plays key roles in cellular signal transduction in both eukaryotic and prokaryotic organisms. Many researches have been conducted to investigate their functions and regulatory mechanisms, but these were mostly focused on particular kinases related to well-known signaling pathways, drug targets, diseases, and so on. Therefore our overall understanding of the whole set of kinases (the kinome), including their structural basis for substrate recognition, is still limited. In this review, we describe technologies for determination of sequence preference and physiological substrates of individual target kinases and for kinome-scale profiling, focusing on peptide array technology or proteomic approaches based on liquid chromatography-mass spectrometry (LC-MS)., (Copyright © 2016 Elsevier B.V. All rights reserved.)

Catecholamines promote lipolysis both in brown and white adipocytes, whereas the same stimuli preferentially activate thermogenesis in brown adipocytes. Molecular mechanisms for the adipose-selective activation of thermogenesis remain poorly understood. Here, we employed quantitative phosphoproteomics to map global and temporal phosphorylation profiles in brown, beige, and white adipocytes under β3-adrenenoceptor activation and identified kinases responsible for the adipose-selective phosphorylation profiles. We found that casein kinase2 (CK2) activity is preferentially higher in white adipocytes than brown/beige adipocytes. Genetic or pharmacological blockade of CK2 in white adipocytes activates the thermogenic program in response to cAMP stimuli. Such activation is largely through reduced CK2-mediated phosphorylation of class I HDACs. Notably, inhibition of CK2 promotes beige adipocyte biogenesis and leads to an increase in whole-body energy expenditure and ameliorates diet-induced obesity and insulin resistance. These results indicate that CK2 is a plausible target to rewire the β3-adrenenoceptor signaling cascade that promotes thermogenesis in adipocytes., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Robust phosphopeptide enrichment methods with minimal fractionation are required to profile signaling network analysis in cancer cell lines and tissues. We assessed performance of single-shot LC-MS/MS label-free phosphoproteomics using TiOx-based phosphopeptide enrichment and report phosphopeptide identification reproducibility (75.8%), depth of identification (6014-6150 phosphopeptides) and reproducibility of label-free quantification (CV 17.8%). Subsequently, we have profiled the baseline global phosphorylation of 8 colorectal cancer (CRC) cell lines representing different CRC prognostic subtypes. Global single-shot phosphoproteomics can distinguish CRC subtypes previously identified by transcriptomics and identifies signaling proteins and processes associated with the CCS3 poor prognosis subtype. Data are available via ProteomeXchange with identifiers PXD001546 and PXD001550., Biological Significance: Label-free single-shot phosphoproteomics is a mature workflow that can be used for global quantitative profiling of biological cell lines and tissues to map signaling networks in comparative analyses. Here we show the feasibility of label-free profiling of CRC cell lines at sample input levels compatible with clinical samples such as tumor biopsies. This article is part of a Special Issue entitled: HUPO 2014., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Our ability to model the dynamics of signal transduction networks will depend on accurate methods to quantify levels of protein phosphorylation on a global scale. Here we describe a motif-targeting quantitation method for phosphorylation stoichiometry typing. Proteome-wide phosphorylation stoichiometry can be obtained by a simple phosphoproteomic workflow integrating dephosphorylation and isotope tagging with enzymatic kinase reaction. Proof-of-concept experiments using CK2-, MAPK- and EGFR-targeting assays in lung cancer cells demonstrate the advantage of kinase-targeted complexity reduction, resulting in deeper phosphoproteome quantification. We measure the phosphorylation stoichiometry of >1,000 phosphorylation sites including 366 low-abundance tyrosine phosphorylation sites, with high reproducibility and using small sample sizes. Comparing drug-resistant and sensitive lung cancer cells, we reveal that post-translational phosphorylation changes are significantly more dramatic than those at the protein and messenger RNA levels, and suggest potential drug targets within the kinase-substrate network associated with acquired drug resistance.

Recent advances in quantitative proteomic technology have enabled the large-scale validation of biomarkers. We here performed a quantitative proteomic analysis of membrane fractions from colorectal cancer tissue to discover biomarker candidates, and then extensively validated the candidate proteins identified. A total of 5566 proteins were identified in six tissue samples, each of which was obtained from polyps and cancer with and without metastasis. GO cellular component analysis predicted that 3087 of these proteins were membrane proteins, whereas TMHMM algorithm predicted that 1567 proteins had a transmembrane domain. Differences were observed in the expression of 159 membrane proteins and 55 extracellular proteins between polyps and cancer without metastasis, while the expression of 32 membrane proteins and 17 extracellular proteins differed between cancer with and without metastasis. A total of 105 of these biomarker candidates were quantitated using selected (or multiple) reaction monitoring (SRM/MRM) with stable synthetic isotope-labeled peptides as an internal control. The results obtained revealed differences in the expression of 69 of these proteins, and this was subsequently verified in an independent set of patient samples (polyps (n = 10), cancer without metastasis (n = 10), cancer with metastasis (n = 10)). Significant differences were observed in the expression of 44 of these proteins, including ITGA5, GPRC5A, PDGFRB, and TFRC, which have already been shown to be overexpressed in colorectal cancer, as well as proteins with unknown function, such as C8orf55. The expression of C8orf55 was also shown to be high not only in colorectal cancer, but also in several cancer tissues using a multicancer tissue microarray, which included 1150 cores from 14 cancer tissues. This is the largest verification study of biomarker candidate membrane proteins to date; our methods for biomarker discovery and subsequent validation using SRM/MRM will contribute to the identification of useful biomarker candidates for various cancers. Data are available via ProteomeXchange with identifier PXD000851., (© 2014 by The American Society for Biochemistry and Molecular Biology, Inc.)

A meter-scale monolithic silica capillary column modified with urea-functional groups for hydrophilic interaction liquid chromatography (HILIC) was developed for highly efficient separation of biological compounds. We prepared a ureidopropylsilylated monolithic silica capillary column with a minimum plate height of 12 μm for nucleosides and a permeability of 2.1 × 10(-13) m(2), which is comparable with the parameters of monolithic silica-C18 capillary columns. Over 300,000 theoretical plates were experimentally obtained in HILIC with a 4 m long column at 8 MPa; this is the best result yet reported for HILIC. A 2 m long ureidopropylsilylated monolithic silica capillary column was utilized to develop a HILIC mode LC-MS system for proteomics applications. Using tryptic peptides from human HeLa cell lysate proteins, we identified the comparable numbers of peptides and proteins in HILIC with those in reversed-phase liquid chromatography (RPLC) using a C18-modified monolithic silica column when shallow gradients were applied. In addition, approximately 5-fold increase in the peak response on average was observed in HILIC for commonly identified tryptic peptides due to the high acetonitrile concentration in the HILIC mobile phase. Since HILIC mode LC-MS shows orthogonal selectivity to RPLC mode LC-MS, it is useful as a complementary tool to increase proteome coverage in proteomics studies.

Reversible phosphorylation of proteins controlled by kinases and phosphatases is one of the most ubiquitous post-translational modifications, and regulates a variety of cell functions through cellular signal transduction pathways. These signals are involved in various diseases such as cancer and rheumatism, and often cause the disease itself or drive the progression. Quantitative phosphoproteomics based on liquid chromatography-tandem mass spectrometry combined with phosphopeptide enrichment and stable isotope labeling allows profiling thousands of phosphorylation sites on human proteins and has been applied to monitoring cellular phosphorylation dynamics induced by various growth factors, hormones and other perturbations including kinase inhibitors. Here, we employed these technologies to quantify the temporal response of phosphorylation dynamics in SKBR3 breast cancer cells to lapatinib, a kinase inhibitor for epidermal growth factor receptor (EGFR) and EGFR2 (also known as HER2). Among 4953 identified phosphopeptides from 1548 proteins, a small proportion (5-7%) was regulated at least twofold by 1-10 μM lapatinib. The results provide new insights into EGFR/HER2 regulation through region-specific phosphorylation, as well as a global view of the cellular signaling networks associated with the anti-breast cancer action of lapatinib.

Proteome analyses of human induced pluripotent stem cells (iPSC) were carried out on a liquid chromatography-tandem mass spectrometry system using meter-scale monolithic silica-C18 capillary columns without prefractionation. Tryptic peptides from five different iPSC lysates and three different fibroblast lysates (4 μg each) were directly injected onto a 200 cm long, 100 μm i.d. monolithic silica-C18 column and an 8-h gradient was applied at 500 nL/min at less than 20 MPa. We identified 98,977 nonredundant tryptic peptides from 9510 proteins (corresponding to 8712 genes), including low-abundance protein groups (such as 329 protein kinases) from triplicate measurements within 10 days. The obtained proteome profiles of the eight cell lysates were categorized into two groups, iPSC and fibroblast, by hierarchical cluster analysis. Further quantitative analysis based on an exponentially modified protein abundance index approach combined with UniProt keyword enrichment analysis revealed that the iPSC group contains more "transcription regulation"-related proteins, while the fibroblast group contained more "transport"-related proteins. Our results indicate that this simplified one-shot proteomics approach with long monolithic columns is advantageous for rapid, deep, sensitive, and reproducible proteome analysis.

The Chromosome-centric Human Proteome Project (C-HPP) aims to define all proteins encoded in each chromosome and especially to identify proteins that currently lack evidence by mass spectrometry. The C-HPP also prioritizes particular protein subsets such as membrane proteins, post-translational modifications, and low-abundance proteins. In this study, we aimed to generate deep profiling of the membrane proteins of human breast cancer tissues on a chromosome-by-chromosome basis using shotgun proteomics. We identified 7092 unique proteins using membrane fractions isolated from pooled breast cancer tissues with high confidence. A total of 3282 proteins were annotated as membrane proteins by Gene Ontology analysis, which covered 45% of the membrane proteins predicted in 20,859 protein-coding genes. Furthermore, we were able to identify 851 membrane proteins that currently lack evidence by mass spectrometry in neXtProt. Our results will contribute to the accomplishment of the primary goal of the C-HPP in identifying so-called "missing proteins" and generating a whole protein catalog for each chromosome.

New analytical strategies for phosphoproteomics, both experimental and computational, have been rapidly introduced in recent years, leading to novel biological findings on the role of protein phosphorylation, which have in turn stimulated further development of the analytical techniques. In this review, we describe the development of analytical strategies for LC-MS/MS-based phosphoproteomics, focusing particularly on recent progress in phosphopeptide enrichment, LC-MS/MS measurement and the subsequent computational analysis. High-coverage analysis of the phosphoproteome has largely been achieved by combining pre-fractionation methods with multiple phosphopeptide enrichment approaches, at some cost in LC-MS/MS measurement time and increased sample loss. Key points for the future will be to further increase the selectivity and the recovery of enrichment methods to achieve higher sensitivity and efficiency in LC-MS/MS analysis in order to detect protein phosphorylation comprehensively, including low-abundance proteins. This is expected to lead to a more detailed understanding of the mechanisms and interactions of phosphorylation-mediated regulatory pathways in biological systems., (© 2012 Elsevier Ltd. All rights reserved.)

We have developed a novel bioinformatics method called mass spectrum sequential subtraction (MSSS) to search large peptide spectra datasets produced by liquid chromatography/mass spectrometry (LC-MS/MS) against protein and large-sized nucleotide sequence databases. The main principle in MSSS is to search the peptide spectra set against the protein database, followed by removal of the spectra corresponding to the identified peptides to create a smaller set of the remaining peptide spectra for searching against the nucleotide sequences database. Therefore, we reduce the number of spectra to be searched to limit the peptide search space. Comparing MSSS and conventional search approach using a dataset of 27 LC-MS/MS runs of rice culture cells indicated that MSSS reduced the search queries to 50% and the search time to 75% on average. In addition, MSSS had no effect on the identification false-positive rate (FPR) or the novel peptide sequences identification ability. We used MSSS to analyze another dataset of 34 LC-MS/MS runs, resulting in identifying additional 74 novel peptides. Proteogenomic analysis with these additional peptides yielded 47 new genomic features in 24 rice genes plus 24 intergenic peptides. These results show that the utility of MSSS in searching large databases with large MS/MS datasets for proteogenomics., (© 2012 The Authors Journal compilation © 2012 by the Molecular Biology Society of Japan/Blackwell Publishing Ltd.)

Protein phosphorylation, one of the most ubiquitous post-translational modifications of proteins, is reversibly controlled by protein kinases and phosphatases, and regulates a variety of cell functions through cellular signal transduction pathways. These signals are involved in various diseases such as cancer, and often cause the disease itself or its progression. Phosphoproteomics has been explored to analyze protein phosphorylation comprehensively and has been applied to monitoring the entire network of cellular signal transduction. In this review, the frontlines of phosphoproteomics as well as its application to cancer molecular targeting drug discovery, therapy and diagnostics are described.

An estimation of the performance and optimization of gradient HPLC conditions using various columns for maximum total peak capacity was studied for "one-shot proteomics" which involves one-dimensional gradient HPLC, connected to an electrospray ionization (ESI)-mass spectrometry (MS), using a monolithic silica-C₁₈ capillary column (350 cm long and 100 μm internal diameter) and an over 40 h shallow gradient elution with one injection. Optimization of such special one-dimensional HPLC has been a tedious task if carried out with a trial-and-error approach due to the extremely long analysis time for each run. Here, the optimized separation conditions including the column type, either particle-packed or monolithic, and the column length with a fixed gradient time are proposed by calculating the peak capacity obtainable using a long column and a long gradient time that may promote the "one-shot proteomics" approach. For instance, conventional conditions at less than 20 MPa can be adapted for a 40 h gradient elution for the proteomics experiment, and a ca. 3 m long monolithic silica-C₁₈ capillary column was identified as the optimized medium indicated by our model with peak capacity theory. To verify this model experimentally, the numbers of identified peptides and proteins were investigated with a nano LC/MS/MS system coupled with a 3m monolithic silica-C₁₈ capillary column by using various elution times. The experimental results showed that the numbers of identified peptides and proteins were maximized and reached a plateau with a gradient time of several tens of hours, which indicated that our model to optimize one dimensional HPLC conditions with a long column could be verified and useful., (Copyright © 2012 Elsevier B.V. All rights reserved.)

The emergence of 'shotgun proteomics' has paved the way for high-throughput proteome analysis, by which thousands of proteins can be identified simultaneously from complex samples. Although the shotgun approach has the potential to monitor many different post-translational modifications, further technological development is needed to enrich each post-translational 'modificome'. Large-scale in vivo phosphorylation site mapping, so-called shotgun phosphoproteomics, has become feasible in various organisms, including plants, owing to recent technological breakthroughs. Shotgun phosphoproteomics is not a mature technology, but progress has been rapid. In this review, we highlight the scope and limitations of current methods, and some key technological issues in this field.

We developed a miniaturized LC-MS system with a high-recovery phosphopeptide enrichment protocol that allows phosphoproteome analysis of 10(4) cells. In the enrichment protocol, the key step is to add sodium deoxycholate and sodium lauroyl sarcosinate to the buffer solution for protein extraction and digestion and to omit any subsequent desalt/desurfactant step before phosphopeptide enrichment. The phosphopeptides enriched by hydroxy acid-modified metal oxide chromatography (HAMMOC) are directly injected onto a miniaturized LC column using a nitrogen-pressure-driven cell, instead of switching valve-type injectors. The miniaturized analytical column of 25 μm diameter provided a 3.6-fold improvement in sensitivity over the conventional 100 μm diameter column. Overall, our analytical system provided approximately 80-fold improvement on average in the LC-MS response, and we identified 1011 unique phosphorylated sites based on 995 unique phosphopeptides from a single analysis of 10(4) HeLa cells (approximately 1 μg of proteins). This is the most sensitive phosphoproteomics system that has so far been reported for proteome-wide analysis of in vivo phosphorylation in mammalian cells., (© 2011 American Chemical Society)

Background: Proteogenomics aims to utilize experimental proteome information for refinement of genome annotation. Since mass spectrometry-based shotgun proteomics approaches provide large-scale peptide sequencing data with high throughput, a data repository for shotgun proteogenomics would represent a valuable source of gene expression evidence at the translational level for genome re-annotation., Description: Here, we present OryzaPG-DB, a rice proteome database based on shotgun proteogenomics, which incorporates the genomic features of experimental shotgun proteomics data. This version of the database was created from the results of 27 nanoLC-MS/MS runs on a hybrid ion trap-orbitrap mass spectrometer, which offers high accuracy for analyzing tryptic digests from undifferentiated cultured rice cells. Peptides were identified by searching the product ion spectra against the protein, cDNA, transcript and genome databases from Michigan State University, and were mapped to the rice genome. Approximately 3200 genes were covered by these peptides and 40 of them contained novel genomic features. Users can search, download or navigate the database per chromosome, gene, protein, cDNA or transcript and download the updated annotations in standard GFF3 format, with visualization in PNG format. In addition, the database scheme of OryzaPG was designed to be generic and can be reused to host similar proteogenomic information for other species. OryzaPG is the first proteogenomics-based database of the rice proteome, providing peptide-based expression profiles, together with the corresponding genomic origin, including the annotation of novelty for each peptide., Conclusions: The OryzaPG database was constructed and is freely available at http://oryzapg.iab.keio.ac.jp/.

Mass spectrometry (MS)-based proteomics is increasingly applied in a quantitative format, often based on labeling of samples with stable isotopes that are introduced chemically or metabolically. In the stable isotope labeling by amino acids in cell culture (SILAC) method, two cell populations are cultured in the presence of heavy or light amino acids (typically lysine and/or arginine), one of them is subjected to a perturbation, and then both are combined and processed together. In this study, we describe a different approach--the use of SILAC as an internal or 'spike-in' standard--wherein SILAC is only used to produce heavy labeled reference proteins or proteomes. These are added to the proteomes under investigation after cell lysis and before protein digestion. The actual experiment is therefore completely decoupled from the labeling procedure. Spike-in SILAC is very economical, robust and in principle applicable to all cell- or tissue-based proteomic analyses. Applications range from absolute quantification of single proteins to the quantification of whole proteomes. Spike-in SILAC is especially advantageous when analyzing the proteomes of whole tissues or organisms. The protocol describes the quantitative analysis of a tissue sample relative to super-SILAC spike-in, a mixture of five SILAC-labeled cell lines that accurately represents the tissue. It includes the selection and preparation of the spike-in SILAC standard, the sample preparation procedure, and analysis and evaluation of the results.

Knowledge of phosphorylation events and their regulation is crucial to understand the functional biology of plants. Here, we report a large-scale phosphoproteome analysis in the model monocot rice (Oryza sativa japonica 'Nipponbare'), an economically important crop. Using unfractionated whole-cell lysates of rice cells, we identified 6,919 phosphopeptides from 3,393 proteins. To investigate the conservation of phosphoproteomes between plant species, we developed a novel phosphorylation-site evaluation method and performed a comparative analysis of rice and Arabidopsis (Arabidopsis thaliana). The ratio of tyrosine phosphorylation in the phosphoresidues of rice was equivalent to those in Arabidopsis and human. Furthermore, despite the phylogenetic distance and the use of different cell types, more than 50% of the phosphoproteins identified in rice and Arabidopsis, which possessed ortholog(s), had an orthologous phosphoprotein in the other species. Moreover, nearly half of the phosphorylated orthologous pairs were phosphorylated at equivalent sites. Further comparative analyses against the Medicago phosphoproteome also showed similar results. These data provide direct evidence for conserved regulatory mechanisms based on phosphorylation in plants. We also assessed the phosphorylation sites on nucleotide-binding leucine-rich repeat proteins and identified novel conserved phosphorylation sites that may regulate this class of proteins.