pFind Studio: a computational solution for mass spectrometry-based proteomics
2023
2023. Jin-Xin Zheng et al.
Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University,
ABSTRACT:
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Ecology and Evolution2023. Rachel M. Winter et al.
Groningen Institute of Archaeology, University of Groningen, Groningen, The Netherlands
ABSTRACT:Marine historical ecology provides a means to establish baselines to inform current fisheries management. Groupers (Epinephelidae) are key species for fisheries in the Mediterranean, which have been heavily overfished. Species abundance and distribution prior to the 20th century in the Mediterranean remains poorly known. To reconstruct the past biogeography of Mediterranean groupers, we investigated whether Zooarchaeology by Mass Spectrometry (ZooMS) can be used for identifying intra-genus grouper bones to species level. We discovered 22 novel, species-specific ZooMS biomarkers for groupers. Applying these biomarkers to Kinet Hoyuk, a Mediterranean archaeological site, demonstrated 4000 years of regional Epinephelus aeneus dominance and resiliency through millennia of fishing pressures, habitat degradation and climatic changes. Combining ZooMS identifications with catch size reconstructions revealed the Epinephelus aeneus capacity for growing 30 cm larger than hitherto documented, revising the maximum Total Length from 120 to 150 cm. Our results provide ecological baselines for a key Mediterranean fishery which could be leveraged to define and assess conservation targets.
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The Journal of Clinical Investigation2023. Korawit Kanjana et al.
dmitry.temiakov@jefferson.edu
ABSTRACT:BACKGROUNDAutoimmune diseases often have strong genetic associations with specific HLA-DR alleles. The synovial lesion in chronic inflammatory forms of arthritis shows marked upregulation of HLA-DR molecules, including in postinfectious Lyme arthritis (LA). However, the identity of HLA-DR-presented peptides, and therefore the reasons for these associations, has frequently remained elusive.METHODSUsing immunopeptidomics to detect HLA-DR-presented peptides from synovial tissue, we identified T cell epitopes from 3 extracellular matrix (ECM) proteins in patients with postinfectious LA, identified potential Borreliella burgdorferi-mimic (Bb-mimic) epitopes, and characterized T and B cell responses to these peptides or proteins.RESULTSOf 24 postinfectious LA patients, 58% had CD4+ T cell responses to at least 1 epitope of 3 ECM proteins, fibronectin-1, laminin B2, and/or collagen Valpha1, and 17% of 52 such patients had antibody responses to at least 1 of these proteins. Patients with autoreactive T cell responses had significantly increased frequencies of HLA-DRB1*04 or -DRB1*1501 alleles and more prolonged arthritis. When tetramer reagents were loaded with ECM or corresponding Bb-mimic peptides, binding was only with the autoreactive T cells. A high percentage of ECM-autoreactive CD4+ T cells in synovial fluid were T-bet-expressing Th1 cells, a small percentage were RoRgammat-expressing Th17 cells, and a minimal percentage were FoxP3-expressing Tregs.CONCLUSIONAutoreactive, proinflammatory CD4+ T cells and autoantibodies develop to ECM proteins in a subgroup of postinfectious LA patients who have specific HLA-DR alleles. Rather than the traditional molecular mimicry model, we propose that epitope spreading provides the best explanation for this example of infection-induced autoimmunity.FUNDINGSupported by National Institute of Allergy and Infectious Diseases R01-AI101175, R01-AI144365, and F32-AI125764; National Institute of Arthritis and Musculoskeletal and Skin Diseases K01-AR062098 and T32-AR007258; NIH grants P41-GM104603, R24-GM134210, S10-RR020946, S10-OD010724, S10-OD021651, and S10-OD021728; and the G. Harold and Leila Y. Mathers Foundation, the Eshe Fund, and the Lyme Disease and Arthritis Research Fund at Massachusetts General Hospital.
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Nature Communications2023. Celina Tretter et al.
TUM
ABSTRACT:RNA variants derived from cancer-associated RNA editing events can be a source of neoantigens. Here, based on a proteogenomic pipeline combining DNA and RNA sequencing with MS-based immunopeptidomics, the authors identity and validate potential neoantigen candidates in patients with different tumor entities, highlighting RNA as important neoantigen source.Systemic pan-tumor analyses may reveal the significance of common features implicated in cancer immunogenicity and patient survival. Here, we provide a comprehensive multi-omics data set for 32 patients across 25 tumor types for proteogenomic-based discovery of neoantigens. By using an optimized computational approach, we discover a large number of tumor-specific and tumor-associated antigens. To create a pipeline for the identification of neoantigens in our cohort, we combine DNA and RNA sequencing with MS-based immunopeptidomics of tumor specimens, followed by the assessment of their immunogenicity and an in-depth validation process. We detect a broad variety of non-canonical HLA-binding peptides in the majority of patients demonstrating partially immunogenicity. Our validation process allows for the selection of 32 potential neoantigen candidates. The majority of neoantigen candidates originates from variants identified in the RNA data set, illustrating the relevance of RNA as a still understudied source of cancer antigens. This study underlines the importance of RNA-centered variant detection for the identification of shared biomarkers and potentially relevant neoantigen candidates.
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Computational and Structural Biotechnology Journal2023. Sun, Zhongzhi et al.
School of Pharmaceutical Sciences, Faculty of Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada
ABSTRACT:Metaproteomics has increasingly been applied to study functional changes in the human gut microbiome. Peptide identification is an important step in metaproteomics research, with sequence database search (SDS) and spectral library search (SLS) as the two main methods to identify peptides. However, the large search space in metaproteomics studies causes significant challenges for both identification methods. Moreover, with the development of mass spectrometry, it is now feasible to perform metaproteomic projects involving 100-1000 individual microbiomes. These large-scale projects create a conundrum for searching large databases. In this study, we constructed MetaPep, a core peptide database (including both collections of peptide sequences and tandem MS spectra) greatly accelerating the peptide identifications. Raw files from fifteen metaproteomics projects were re-analyzed and the identified peptide-spectrum matches (PSMs) were used to construct the MetaPep database. The constructed MetaPep database achieved rapid and accurate identification of peptides for human gut metaproteomics. MetaPep has a large collection of peptides and spectra that have been identified in published human gut metaproteomics datasets. MetaPep database can be used as an important resource in the current stage of human gut metaproteomics research. This study showed the possibility of applying a core peptide database as a generic metaproteomics workflow. MetaPep could also be an important resource for future human gut metaproteomics research, such as DIA (data-independent acquisition) analysis.
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Journal of Ethnopharmacology2023. Zhu, Yanning et al.
School of Pharmacy, Lanzhou University, Lanzhou, PR China
ABSTRACT:ETHNOPHARMACOLOGICAL RELEVANCE: Sijunzi decoction (SJZD), a traditional Chinese medicine formula, is commonly used in clinical practice for the treatment of gastric precancerous lesions (GPL). However, the mechanism of gastric protection is not fully understood.AIMS OF THE STUDY: The purpose of this study was to systematically evaluate the efficacy of SJZD in blocking the development of GPL and to reveal the underlying mechanism.METHODS: First, we established a rat model of GPL, which was induced by N-methyl-N'-nitro-N-nitrosoguanidine (MNNG) combined with an irregular diet and 40% ethanol. The efficacy of SJZD was evaluated based on pathological sections and serum biochemical indices. Then, the pharmacodynamic mechanism of SJZD was revealed by quantitative proteomics based on stable isotope dimethyl labeling. At the same time, the pharmacodynamic mechanism was verified by quantitative metabolomics. In addition, the anti-gastritis effect of SJZD was confirmed by a serum pharmacology method in a cell model, and the functional mechanism was further verified.RESULTS: We demonstrated that SJZD could block the development of GPL in the animal model. Proteomics and metabolomics revealed that SJZD blocks GPL development by regulating oxidative phosphorylation (OXPHOS). In addition, the serum pharmacology results showed that SJZD-containing serum (SJZD-CS) could inhibit apoptosis in MNNG-induced GES-1cells. OXPHOS inhibitors could significantly reduce the protective effect of SJZD-CS.CONCLUSION: SJZD effectively ameliorates GPL, and proteomics and metabolomics revealed that its protective effects are closely related to OXPHOS.
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Journal of Genetics and Genomics2023. Jing, Hongwei et al.
State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
ABSTRACT:The phytohormone auxin plays crucial roles in nearly every aspect of plant growth and development. Auxin signaling is activated through the phytohormone-induced proteasomal degradation of the Auxin/INDOLE-3-ACETIC ACID (Aux/IAA) family of transcriptional repressors. Notably, many auxin-modulated physiological processes are also regulated by nitric oxide (NO) that executes its biological effects predominantly through protein S-nitrosylation at specific cysteine residues. However, little is known about the molecular mechanisms in regulating the interactive NO and auxin networks. Here, we show that NO represses auxin signaling by inhibiting IAA17 protein degradation. NO induces the S-nitrosylation of Cys-70 located in the intrinsically disordered region of IAA17, which inhibits the TIR1-IAA17 interaction and consequently the proteasomal degradation of IAA17. The accumulation of a higher level of IAA17 attenuates auxin response. Moreover, an IAA17C70W nitrosomimetic mutation renders the accumulation of a higher level of the mutated protein, thereby causing partial resistance to auxin and defective lateral root development. Taken together, these results suggest that S-nitrosylation of IAA17 at Cys-70 inhibits its interaction with TIR1, thereby negatively regulating auxin signaling. This study provides unique molecular insights into the redox-based auxin signaling in regulating plant growth and development.
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bioRxiv2023. Yi, Xinpei et al.
Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas, USA
ABSTRACT:Shotgun phosphoproteomics enables high-throughput analysis of phosphopeptides in biological samples, but low phosphopeptide identification rate in data analysis limits the potential of this technology. Here we present DeepRescore2, a computational workflow that leverages deep learning-based retention time and fragment ion intensity predictions to improve phosphopeptide identification and phosphosite localization. Using a state-of-the-art computational workflow as a benchmark, DeepRescore2 increases the number of correctly identified peptide-spectrum matches by 17% in a synthetic dataset and identifies 19%-46% more phosphopeptides in biological datasets. In a liver cancer dataset, 30% of the significantly altered phosphosites between tumor and normal tissues and 60% of the prognosis-associated phosphosites identified from DeepRescore2-processed data could not be identified based on the state-of-the-art workflow. Notably, DeepRescore2-processed data uniquely identifies EGFR hyperactivation as a new target in poor-prognosis liver cancer, which is validated experimentally. Integration of deep learning prediction in DeepRescore2 improves phosphopeptide identification and facilitates biological discoveries.
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Proceedings of the National Academy of Sciences2023. de Kock, Willemien et al.
Groningen Institute of Archaeology, Faculty of Arts, University of Groningen, 9712 ER Groningen, Netherlands
ABSTRACT:"Protect and restore ecosystems and biodiversity" is the second official aim of the current UN Ocean Decade (2021 to 2030) calling for the identification and protection of critical marine habitats. However, data to inform policy are often lacking altogether or confined to recent times, preventing the establishment of long-term baselines. The unique insights gained from combining bioarchaeology (palaeoproteomics, stable isotope analysis) with contemporary data (from satellite tracking) identified habitats which sea turtles have been using in the Eastern Mediterranean over five millennia. Specifically, our analysis of archaeological green turtle (Chelonia mydas) bones revealed that they likely foraged on the same North African seagrass meadows as their modern-day counterparts. Here, millennia-long foraging habitat fidelity has been directly demonstrated, highlighting the significance (and long-term dividends) of protecting these critical coastal habitats that are especially vulnerable to global warming. We highlight the potential for historical ecology to inform policy in safeguarding critical marine habitats.
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Nature Communications2023. Jianqiang Mu et al.
So Univ Sci & Technol, Sch Life Sci, Dept Immunol & MicroBiol, Shenzhen 518055, Guangdong, Peoples R China; Int Campus Zhejiang Univ, Prov Int Sci & Technol Cooperat Base Engn Biol, Haining 314400, Peoples R China; Zhejiang Univ, Shanghai Inst Adv Study, Inst Quantitat Biol, Coll Life Sci, Hangzhou 310027, Peoples R China
ABSTRACT:ATP13A2 is a lysosomal polyamine transporter, mutated in several diseases including juvenile-onset Parkinson's disease. Here, the authors report structures of human ATP13A2 in six distinct intermediate states, illustrating most of its conformational cycle.Dysregulation of polyamine homeostasis strongly associates with human diseases. ATP13A2, which is mutated in juvenile-onset Parkinson's disease and autosomal recessive spastic paraplegia 78, is a transporter with a critical role in balancing the polyamine concentration between the lysosome and the cytosol. Here, to better understand human ATP13A2-mediated polyamine transport, we use single-particle cryo-electron microscopy to solve high-resolution structures of human ATP13A2 in six intermediate states, including the putative E2 structure for the P5 subfamily of the P-type ATPases. These structures comprise a nearly complete conformational cycle spanning the polyamine transport process and capture multiple substrate binding sites distributed along the transmembrane regions, suggesting a potential polyamine transport pathway. Integration of high-resolution structures, biochemical assays, and molecular dynamics simulations allows us to obtain a better understanding of the structural basis of how hATP13A2 transports polyamines, providing a mechanistic framework for ATP13A2-related diseases.
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