51
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Peinado-Izaguerri J, Corbishley A, Zarzuela E, Pina-Beltrán B, Riva F, McKeegan DEF, Bain M, Muñoz J, Bhide M, McLaughlin M, Preston T. Effect of an immune challenge and two feed supplements on broiler chicken individual breast muscle protein synthesis rate. J Proteomics 2024; 299:105158. [PMID: 38484873 DOI: 10.1016/j.jprot.2024.105158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 02/29/2024] [Accepted: 03/11/2024] [Indexed: 03/18/2024]
Abstract
Optimization of broiler chicken breast muscle protein accretion is key for the efficient production of poultry meat, whose demand is steadily increasing. In a context where antimicrobial growth promoters use is being restricted, it is important to find alternatives as well as to characterize the effect of immunological stress on broiler chicken's growth. Despite its importance, research on broiler chicken muscle protein dynamics has mostly been limited to the study of mixed protein turnover. The present study aims to characterize the effect of a bacterial challenge and the feed supplementation of citrus and cucumber extracts on broiler chicken individual breast muscle proteins fractional synthesis rates (FSR) using a recently developed dynamic proteomics pipeline. Twenty-one day-old broiler chickens were administered a single 2H2O dose before being culled at different timepoints. A total of 60 breast muscle protein extracts from five experimental groups (Unchallenged, Challenged, Control Diet, Diet 1 and Diet 2) were analysed using a DDA proteomics approach. Proteomics data was filtered in order to reliably calculate multiple proteins FSR making use of a newly developed bioinformatics pipeline. Broiler breast muscle proteins FSR uniformly decreased following a bacterial challenge, this change was judged significant for 15 individual proteins, the two major functional clusters identified as well as for mixed breast muscle protein. Citrus or cucumber extract feed supplementation did not show any effect on the breast muscle protein FSR of immunologically challenged broilers. The present study has identified potential predictive markers of breast muscle growth and provided new information on broiler chicken breast muscle protein synthesis which could be essential for improving the efficiency of broiler chicken meat production. SIGNIFICANCE: The present study constitutes the first dynamic proteomics study conducted in a farm animal species which has characterized FSR in a large number of proteins, establishing a precedent for biomarker discovery and assessment of health and growth status. Moreover, it has been evidenced that the decrease in broiler chicken breast muscle protein following an immune challenge is a coordinated event which seems to be the main cause of the decreased growth observed in these animals.
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Affiliation(s)
- Jorge Peinado-Izaguerri
- University of Glasgow, School of Biodiversity, One Health and Veterinary Medicine, Ilay Road, Glasgow G61 1QH, United Kingdom; University of Veterinary Medicine and Pharmacy in Košice, Laboratory of biomedical microbiology and immunology, Komenskeho 73, Košice 04001, Slovakia.
| | - Alexander Corbishley
- University of Edinburgh, Roslin Institute, Easter Bush Campus, Midlothian EH25 9RG, United Kingdom.
| | - Eduardo Zarzuela
- Spanish National Cancer Research Center, Proteomics Unit, Calle de Melchor Fernández Almagro 3, Madrid 28029, Spain.
| | - Blanca Pina-Beltrán
- Aix-Marseille Université, Marseille, Centre de Recherche en Cardiovasculaire et Nutrition, Bd Jean Moulin 27, Marseille 13385, France.
| | - Francesca Riva
- University of Glasgow, School of Biodiversity, One Health and Veterinary Medicine, Ilay Road, Glasgow G61 1QH, United Kingdom; University of Zagreb, Clinic for Internal Diseases faculty of Veterinary Medicine, Heinzelova 55, Zagreb 10000, Croatia.
| | - Dorothy E F McKeegan
- University of Glasgow, School of Biodiversity, One Health and Veterinary Medicine, Ilay Road, Glasgow G61 1QH, United Kingdom.
| | - Maureen Bain
- University of Glasgow, School of Biodiversity, One Health and Veterinary Medicine, Ilay Road, Glasgow G61 1QH, United Kingdom.
| | - Javier Muñoz
- Spanish National Cancer Research Center, Proteomics Unit, Calle de Melchor Fernández Almagro 3, Madrid 28029, Spain.
| | - Mangesh Bhide
- University of Veterinary Medicine and Pharmacy in Košice, Laboratory of biomedical microbiology and immunology, Komenskeho 73, Košice 04001, Slovakia.
| | - Mark McLaughlin
- University of Glasgow, School of Biodiversity, One Health and Veterinary Medicine, Ilay Road, Glasgow G61 1QH, United Kingdom.
| | - Tom Preston
- University of Glasgow, SUERC, Stable Isotope Biochemistry Laboratory, East Kilbride, Glasgow G75 0QF, United Kingdom.
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52
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Kurmasheva N, Said A, Wong B, Kinderman P, Han X, Rahimic AHF, Kress A, Carter-Timofte ME, Holm E, van der Horst D, Kollmann CF, Liu Z, Wang C, Hoang HD, Kovalenko E, Chrysopoulou M, Twayana KS, Ottosen RN, Svenningsen EB, Begnini F, Kiib AE, Kromm FEH, Weiss HJ, Di Carlo D, Muscolini M, Higgins M, van der Heijden M, Bardoul A, Tong T, Ozsvar A, Hou WH, Schack VR, Holm CK, Zheng Y, Ruzek M, Kalucka J, de la Vega L, Elgaher WAM, Korshoej AR, Lin R, Hiscott J, Poulsen TB, O'Neill LA, Roy DG, Rinschen MM, van Montfoort N, Diallo JS, Farin HF, Alain T, Olagnier D. Octyl itaconate enhances VSVΔ51 oncolytic virotherapy by multitarget inhibition of antiviral and inflammatory pathways. Nat Commun 2024; 15:4096. [PMID: 38750019 PMCID: PMC11096414 DOI: 10.1038/s41467-024-48422-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 04/23/2024] [Indexed: 05/18/2024] Open
Abstract
The presence of heterogeneity in responses to oncolytic virotherapy poses a barrier to clinical effectiveness, as resistance to this treatment can occur through the inhibition of viral spread within the tumor, potentially leading to treatment failures. Here we show that 4-octyl itaconate (4-OI), a chemical derivative of the Krebs cycle-derived metabolite itaconate, enhances oncolytic virotherapy with VSVΔ51 in various models including human and murine resistant cancer cell lines, three-dimensional (3D) patient-derived colon tumoroids and organotypic brain tumor slices. Furthermore, 4-OI in combination with VSVΔ51 improves therapeutic outcomes in a resistant murine colon tumor model. Mechanistically, we find that 4-OI suppresses antiviral immunity in cancer cells through the modification of cysteine residues in MAVS and IKKβ independently of the NRF2/KEAP1 axis. We propose that the combination of a metabolite-derived drug with an oncolytic virus agent can greatly improve anticancer therapeutic outcomes by direct interference with the type I IFN and NF-κB-mediated antiviral responses.
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Affiliation(s)
- Naziia Kurmasheva
- Department of Biomedicine, Aarhus University, 8000, Aarhus C, Denmark
| | - Aida Said
- Department of Biochemistry Microbiology and Immunology, University of Ottawa, Ottawa, ON, K1H 8M5, Canada
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, K1H 8L1, Canada
| | - Boaz Wong
- Department of Biochemistry Microbiology and Immunology, University of Ottawa, Ottawa, ON, K1H 8M5, Canada
- Ottawa Hospital Research Insitute, Ottawa, ON, K1H 8L6, Canada
| | - Priscilla Kinderman
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Xiaoying Han
- Lady Davis Institute, Jewish General Hospital and Department of Medicine, McGill University, Montreal, QC, H3T 1E2, Canada
| | - Anna H F Rahimic
- Department of Biomedicine, Aarhus University, 8000, Aarhus C, Denmark
| | - Alena Kress
- Georg-Speyer-Haus, Institute for Tumor Biology and Experimental Therapy, Frankfurt am Main, Germany
- Frankfurt Cancer Institute, Goethe University, Frankfurt am Main, Germany
- Faculty of Biological Sciences, Goethe University, 60438, Frankfurt am Main, Germany
| | | | - Emilia Holm
- Department of Biomedicine, Aarhus University, 8000, Aarhus C, Denmark
| | | | | | - Zhenlong Liu
- Lady Davis Institute, Jewish General Hospital and Department of Medicine, McGill University, Montreal, QC, H3T 1E2, Canada
| | - Chen Wang
- Lady Davis Institute, Jewish General Hospital and Department of Medicine, McGill University, Montreal, QC, H3T 1E2, Canada
| | - Huy-Dung Hoang
- Department of Biochemistry Microbiology and Immunology, University of Ottawa, Ottawa, ON, K1H 8M5, Canada
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, K1H 8L1, Canada
| | - Elina Kovalenko
- Department of Biomedicine, Aarhus University, 8000, Aarhus C, Denmark
| | | | | | - Rasmus N Ottosen
- Department of Chemistry, Aarhus University, 8000, Aarhus C, Denmark
| | | | - Fabio Begnini
- Department of Chemistry, Aarhus University, 8000, Aarhus C, Denmark
| | - Anders E Kiib
- Department of Chemistry, Aarhus University, 8000, Aarhus C, Denmark
| | | | - Hauke J Weiss
- School of Biochemistry and Immunology, Trinity College Dublin, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - Daniele Di Carlo
- Pasteur Laboratories, Istituto Pasteur Italia - Fondazione Cenci Bolognetti, Rome, 00161, Italy
| | - Michela Muscolini
- Pasteur Laboratories, Istituto Pasteur Italia - Fondazione Cenci Bolognetti, Rome, 00161, Italy
| | - Maureen Higgins
- Jacqui Wood Cancer Centre, Division of Cellular Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Mirte van der Heijden
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Angelina Bardoul
- Cancer Axis, CHUM Research Centre, Montreal, Canada
- Department of Microbiology, Infectious Diseases and Immunology, Faculty of Medicine, University of Montreal, Montreal, Canada
- Institut du Cancer de Montréal, Montreal, QC, Canada
| | - Tong Tong
- Department of Neurosurgery, Aarhus University Hospital, 8200, Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University, 8200, Aarhus N, Denmark
- DCCC Brain Tumor Center, Copenhagen University Hospital, Copenhagen, Denmark
| | - Attila Ozsvar
- Department of Biomedicine, Aarhus University, 8000, Aarhus C, Denmark
- Department of Clinical Medicine, Aarhus University, 8200, Aarhus N, Denmark
| | - Wen-Hsien Hou
- Department of Biomedicine, Aarhus University, 8000, Aarhus C, Denmark
| | - Vivien R Schack
- Department of Biomedicine, Aarhus University, 8000, Aarhus C, Denmark
| | - Christian K Holm
- Department of Biomedicine, Aarhus University, 8000, Aarhus C, Denmark
| | - Yunan Zheng
- Small Molecule Therapeutics & Platform Technologies, AbbVie Inc., 1 North Waukegon Road, North Chicago, IL, 60064, USA
| | - Melanie Ruzek
- AbbVie, Bioresearch Center, 100 Research Drive, Worcester, MA, 01608, USA
| | - Joanna Kalucka
- Department of Biomedicine, Aarhus University, 8000, Aarhus C, Denmark
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | - Laureano de la Vega
- Jacqui Wood Cancer Centre, Division of Cellular Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Walid A M Elgaher
- Department of Drug Design and Optimization, Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research (HZI), Saarland University, E8.1, 66123, Saarbrücken, Germany
| | - Anders R Korshoej
- Department of Neurosurgery, Aarhus University Hospital, 8200, Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University, 8200, Aarhus N, Denmark
- DCCC Brain Tumor Center, Copenhagen University Hospital, Copenhagen, Denmark
| | - Rongtuan Lin
- Lady Davis Institute, Jewish General Hospital and Department of Medicine, McGill University, Montreal, QC, H3T 1E2, Canada
| | - John Hiscott
- Pasteur Laboratories, Istituto Pasteur Italia - Fondazione Cenci Bolognetti, Rome, 00161, Italy
| | - Thomas B Poulsen
- Department of Chemistry, Aarhus University, 8000, Aarhus C, Denmark
| | - Luke A O'Neill
- School of Biochemistry and Immunology, Trinity College Dublin, Trinity Biomedical Sciences Institute, Dublin 2, Ireland
| | - Dominic G Roy
- Cancer Axis, CHUM Research Centre, Montreal, Canada
- Department of Microbiology, Infectious Diseases and Immunology, Faculty of Medicine, University of Montreal, Montreal, Canada
- Institut du Cancer de Montréal, Montreal, QC, Canada
| | - Markus M Rinschen
- Department of Biomedicine, Aarhus University, 8000, Aarhus C, Denmark
- III. Department of Medicine and Hamburg Center for Kidney Health, Hamburg, Germany
- Aarhus Institute of Advanced Studies, Aarhus University, Aarhus, Denmark
| | - Nadine van Montfoort
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jean-Simon Diallo
- Department of Biochemistry Microbiology and Immunology, University of Ottawa, Ottawa, ON, K1H 8M5, Canada
- Ottawa Hospital Research Insitute, Ottawa, ON, K1H 8L6, Canada
| | - Henner F Farin
- Georg-Speyer-Haus, Institute for Tumor Biology and Experimental Therapy, Frankfurt am Main, Germany
- Frankfurt Cancer Institute, Goethe University, Frankfurt am Main, Germany
- German Cancer Consortium (DKTK), Frankfurt/Mainz partner site and German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Tommy Alain
- Department of Biochemistry Microbiology and Immunology, University of Ottawa, Ottawa, ON, K1H 8M5, Canada
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, K1H 8L1, Canada
| | - David Olagnier
- Department of Biomedicine, Aarhus University, 8000, Aarhus C, Denmark.
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Rojas Echeverri JC, Hause F, Iacobucci C, Ihling CH, Tänzler D, Shulman N, Riffle M, MacLean BX, Sinz A. A Workflow for Improved Analysis of Cross-Linking Mass Spectrometry Data Integrating Parallel Accumulation-Serial Fragmentation with MeroX and Skyline. Anal Chem 2024; 96:7373-7379. [PMID: 38696819 PMCID: PMC11099889 DOI: 10.1021/acs.analchem.4c00829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 04/24/2024] [Accepted: 04/29/2024] [Indexed: 05/04/2024]
Abstract
Cross-linking mass spectrometry (XL-MS) has evolved into a pivotal technique for probing protein interactions. This study describes the implementation of Parallel Accumulation-Serial Fragmentation (PASEF) on timsTOF instruments, enhancing the detection and analysis of protein interactions by XL-MS. Addressing the challenges in XL-MS, such as the interpretation of complex spectra, low abundant cross-linked peptides, and a data acquisition bias, our current study integrates a peptide-centric approach for the analysis of XL-MS data and presents the foundation for integrating data-independent acquisition (DIA) in XL-MS with a vendor-neutral and open-source platform. A novel workflow is described for processing data-dependent acquisition (DDA) of PASEF-derived information. For this, software by Bruker Daltonics is used, enabling the conversion of these data into a format that is compatible with MeroX and Skyline software tools. Our approach significantly improves the identification of cross-linked products from complex mixtures, allowing the XL-MS community to overcome current analytical limitations.
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Affiliation(s)
- Juan Camilo Rojas Echeverri
- Department
of Pharmaceutical Chemistry and Bioanalytics, Martin-Luther-University Halle-Wittenberg, 06120 Halle, Germany
- Center
for Structural Mass Spectrometry, Martin-Luther-University
Halle-Wittenberg, 06120 Halle, Germany
| | - Frank Hause
- Department
of Pharmaceutical Chemistry and Bioanalytics, Martin-Luther-University Halle-Wittenberg, 06120 Halle, Germany
- Center
for Structural Mass Spectrometry, Martin-Luther-University
Halle-Wittenberg, 06120 Halle, Germany
- Institute
for Molecular Medicine, Martin-Luther-University
Halle-Wittenberg, 06120 Halle, Germany
| | - Claudio Iacobucci
- Department
of Pharmaceutical Chemistry and Bioanalytics, Martin-Luther-University Halle-Wittenberg, 06120 Halle, Germany
- Center
for Structural Mass Spectrometry, Martin-Luther-University
Halle-Wittenberg, 06120 Halle, Germany
- Department
of Physical and Chemical Sciences, University
of L’Aquila, 67100 L’Aquila, Italy
| | - Christian H. Ihling
- Department
of Pharmaceutical Chemistry and Bioanalytics, Martin-Luther-University Halle-Wittenberg, 06120 Halle, Germany
- Center
for Structural Mass Spectrometry, Martin-Luther-University
Halle-Wittenberg, 06120 Halle, Germany
| | - Dirk Tänzler
- Department
of Pharmaceutical Chemistry and Bioanalytics, Martin-Luther-University Halle-Wittenberg, 06120 Halle, Germany
- Center
for Structural Mass Spectrometry, Martin-Luther-University
Halle-Wittenberg, 06120 Halle, Germany
| | - Nicholas Shulman
- Department
of Genome Sciences, University of Washington, Seattle, Washington 98195, United States
| | - Michael Riffle
- Department
of Biochemistry, University of Washington, Seattle, Washington 98195, United States
| | - Brendan X. MacLean
- Department
of Genome Sciences, University of Washington, Seattle, Washington 98195, United States
| | - Andrea Sinz
- Department
of Pharmaceutical Chemistry and Bioanalytics, Martin-Luther-University Halle-Wittenberg, 06120 Halle, Germany
- Center
for Structural Mass Spectrometry, Martin-Luther-University
Halle-Wittenberg, 06120 Halle, Germany
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54
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Garapati K, Jain A, Madden BJ, Mun DG, Sharma J, Budhraja R, Pandey A. Defining albumin as a glycoprotein with multiple N-linked glycosylation sites. J Transl Med 2024; 22:454. [PMID: 38741158 PMCID: PMC11090807 DOI: 10.1186/s12967-024-05000-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 02/14/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Glycosylation is an enzyme-catalyzed post-translational modification that is distinct from glycation and is present on a majority of plasma proteins. N-glycosylation occurs on asparagine residues predominantly within canonical N-glycosylation motifs (Asn-X-Ser/Thr) although non-canonical N-glycosylation motifs Asn-X-Cys/Val have also been reported. Albumin is the most abundant protein in plasma whose glycation is well-studied in diabetes mellitus. However, albumin has long been considered a non-glycosylated protein due to absence of canonical motifs. Albumin contains two non-canonical N-glycosylation motifs, of which one was recently reported to be glycosylated. METHODS We enriched abundant serum proteins to investigate their N-linked glycosylation followed by trypsin digestion and glycopeptide enrichment by size-exclusion or mixed-mode anion-exchange chromatography. Glycosylation at canonical as well as non-canonical sites was evaluated by liquid chromatography-tandem mass spectrometry (LC-MS/MS) of enriched glycopeptides. Deglycosylation analysis was performed to confirm N-linked glycosylation at non-canonical sites. Albumin-derived glycopeptides were fragmented by MS3 to confirm attached glycans. Parallel reaction monitoring was carried out on twenty additional samples to validate these findings. Bovine and rabbit albumin-derived glycopeptides were similarly analyzed by LC-MS/MS. RESULTS Human albumin is N-glycosylated at two non-canonical sites, Asn68 and Asn123. N-glycopeptides were detected at both sites bearing four complex sialylated glycans and validated by MS3-based fragmentation and deglycosylation studies. Targeted mass spectrometry confirmed glycosylation in twenty additional donor samples. Finally, the highly conserved Asn123 in bovine and rabbit serum albumin was also found to be glycosylated. CONCLUSIONS Albumin is a glycoprotein with conserved N-linked glycosylation sites that could have potential clinical applications.
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Affiliation(s)
- Kishore Garapati
- Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka, India
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Anu Jain
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | | | - Dong-Gi Mun
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Jyoti Sharma
- Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka, India
| | - Rohit Budhraja
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Akhilesh Pandey
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
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Choudhury R, Venkateswaran Venkatasubramani A, Hua J, Borsò M, Franconi C, Kinkley S, Forné I, Imhof A. The role of RNA in the maintenance of chromatin domains as revealed by antibody-mediated proximity labelling coupled to mass spectrometry. eLife 2024; 13:e95718. [PMID: 38717135 PMCID: PMC11147508 DOI: 10.7554/elife.95718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 04/26/2024] [Indexed: 06/04/2024] Open
Abstract
Eukaryotic chromatin is organized into functional domains, that are characterized by distinct proteomic compositions and specific nuclear positions. In contrast to cellular organelles surrounded by lipid membranes, the composition of distinct chromatin domains is rather ill described and highly dynamic. To gain molecular insight into these domains and explore their composition, we developed an antibody-based proximity biotinylation method targeting the RNA and proteins constituents. The method that we termed antibody-mediated proximity labelling coupled to mass spectrometry (AMPL-MS) does not require the expression of fusion proteins and therefore constitutes a versatile and very sensitive method to characterize the composition of chromatin domains based on specific signature proteins or histone modifications. To demonstrate the utility of our approach we used AMPL-MS to characterize the molecular features of the chromocenter as well as the chromosome territory containing the hyperactive X chromosome in Drosophila. This analysis identified a number of known RNA-binding proteins in proximity of the hyperactive X and the centromere, supporting the accuracy of our method. In addition, it enabled us to characterize the role of RNA in the formation of these nuclear bodies. Furthermore, our method identified a new set of RNA molecules associated with the Drosophila centromere. Characterization of these novel molecules suggested the formation of R-loops in centromeres, which we validated using a novel probe for R-loops in Drosophila. Taken together, AMPL-MS improves the selectivity and specificity of proximity ligation allowing for novel discoveries of weak protein-RNA interactions in biologically diverse domains.
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Affiliation(s)
- Rupam Choudhury
- Department of Molecular Biology, Biomedical Center Munich, Ludwig-Maximilians UniversityPlanegg-MartinsriedGermany
| | - Anuroop Venkateswaran Venkatasubramani
- Department of Molecular Biology, Biomedical Center Munich, Ludwig-Maximilians UniversityPlanegg-MartinsriedGermany
- Graduate School of Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität MünchenMunichGermany
| | - Jie Hua
- Department of Molecular Biology, Biomedical Center Munich, Ludwig-Maximilians UniversityPlanegg-MartinsriedGermany
| | - Marco Borsò
- Protein Analysis Unit, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians, University (LMU) MunichPlanegg-MartinsriedGermany
| | - Celeste Franconi
- Chromatin Structure and Function group, Department of Computational Molecular Biology, Max Planck Institute for Molecular GeneticsBerlinGermany
| | - Sarah Kinkley
- Chromatin Structure and Function group, Department of Computational Molecular Biology, Max Planck Institute for Molecular GeneticsBerlinGermany
| | - Ignasi Forné
- Protein Analysis Unit, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians, University (LMU) MunichPlanegg-MartinsriedGermany
| | - Axel Imhof
- Department of Molecular Biology, Biomedical Center Munich, Ludwig-Maximilians UniversityPlanegg-MartinsriedGermany
- Protein Analysis Unit, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians, University (LMU) MunichPlanegg-MartinsriedGermany
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Vymola P, Garcia-Borja E, Cervenka J, Balaziova E, Vymolova B, Veprkova J, Vodicka P, Skalnikova H, Tomas R, Netuka D, Busek P, Sedo A. Fibrillar extracellular matrix produced by pericyte-like cells facilitates glioma cell dissemination. Brain Pathol 2024:e13265. [PMID: 38705944 DOI: 10.1111/bpa.13265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 04/16/2024] [Indexed: 05/07/2024] Open
Abstract
Gliomagenesis induces profound changes in the composition of the extracellular matrix (ECM) of the brain. In this study, we identified a cellular population responsible for the increased deposition of collagen I and fibronectin in glioblastoma. Elevated levels of the fibrillar proteins collagen I and fibronectin were associated with the expression of fibroblast activation protein (FAP), which is predominantly found in pericyte-like cells in glioblastoma. FAP+ pericyte-like cells were present in regions rich in collagen I and fibronectin in biopsy material and produced substantially more collagen I and fibronectin in vitro compared to other cell types found in the GBM microenvironment. Using mass spectrometry, we demonstrated that 3D matrices produced by FAP+ pericyte-like cells are rich in collagen I and fibronectin and contain several basement membrane proteins. This expression pattern differed markedly from glioma cells. Finally, we have shown that ECM produced by FAP+ pericyte-like cells enhances the migration of glioma cells including glioma stem-like cells, promotes their adhesion, and activates focal adhesion kinase (FAK) signaling. Taken together, our findings establish FAP+ pericyte-like cells as crucial producers of a complex ECM rich in collagen I and fibronectin, facilitating the dissemination of glioma cells through FAK activation.
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Affiliation(s)
- Petr Vymola
- Laboratory of Cancer Cell Biology, Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Elena Garcia-Borja
- Laboratory of Cancer Cell Biology, Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Jakub Cervenka
- Laboratory of Applied Proteome Analyses, Research Center PIGMOD, Institute of Animal Physiology and Genetics of the Czech Academy of Sciences, Liběchov, Czech Republic
- Laboratory of proteomics, Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Eva Balaziova
- Laboratory of Cancer Cell Biology, Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Barbora Vymolova
- Laboratory of Cancer Cell Biology, Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Jana Veprkova
- Laboratory of Cancer Cell Biology, Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Petr Vodicka
- Laboratory of Applied Proteome Analyses, Research Center PIGMOD, Institute of Animal Physiology and Genetics of the Czech Academy of Sciences, Liběchov, Czech Republic
| | - Helena Skalnikova
- Laboratory of Applied Proteome Analyses, Research Center PIGMOD, Institute of Animal Physiology and Genetics of the Czech Academy of Sciences, Liběchov, Czech Republic
- Laboratory of proteomics, Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Robert Tomas
- Department of Neurosurgery, Na Homolce Hospital, Prague, Czech Republic
| | - David Netuka
- Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University and Military University Hospital, Prague, Czech Republic
| | - Petr Busek
- Laboratory of Cancer Cell Biology, Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Aleksi Sedo
- Laboratory of Cancer Cell Biology, Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, Prague, Czech Republic
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57
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Chen S, Downs ML. Development of a Mass Spectrometry-Based Method for Quantification of Total Cashew Protein in Roasting Oil. J AOAC Int 2024; 107:443-452. [PMID: 38430003 DOI: 10.1093/jaoacint/qsae019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 02/26/2024] [Accepted: 02/26/2024] [Indexed: 03/03/2024]
Abstract
BACKGROUND Food allergen cross-contact during food preparation and production is one of the causes of unintentional allergen presence in packaged foods. However, little is known about allergen cross-contact in shared frying or roasting oil, which prevents the establishment of effective allergen controls and may put allergic individuals at risk. To better understand the quantity of allergen transferred to frying oil and subsequent products, an analytical method is needed for quantifying protein in oil that has been exposed to frying/roasting conditions. OBJECTIVE The goal of this study was to develop a parallel reaction monitoring LC-MS/MS method to quantify the amount of cashew protein in shared roasting oil. METHODS The sample preparation method was evaluated to improve protein extractability and peptide performance. Four quantitative peptides representing cashew 2S and 11S proteins were selected as targets based on their sensitivity, heat stability, and specificity. A calibration strategy was developed to quantify the amount of total cashew protein in oil. Method performance was evaluated using a heated cashew-in-oil model system. RESULTS The method showed high recovery in oil samples spiked with 100 or 10 parts per million (ppm) total cashew protein heated at 138 or 166°C for 2-30 min. Samples (100 ppm total cashew protein) heated for 30 min had more than 90% recovery when treated at 138°C and more than 50% when heated at 166°C. CONCLUSION The method is fit-for-purpose for the analysis of cashew allergen cross-contact in oil. HIGHLIGHTS A novel MS-based method was developed that can accurately quantify the amount of cashew protein present in heated oil.
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Affiliation(s)
- Shimin Chen
- University of Nebraska-Lincoln, Food Allergy Research and Resource Program, Department of Food Science and Technology, 283 Food Innovation Center, 1901 North 21st St, Lincoln, NE 68588, United States
- George L. Wright Jr. Center for Biomedical Proteomics, Eastern Virginia Medical School, 429 Lester Hall, 651 Colley Ave, Norfolk, VA 23507, United States
| | - Melanie L Downs
- University of Nebraska-Lincoln, Food Allergy Research and Resource Program, Department of Food Science and Technology, 283 Food Innovation Center, 1901 North 21st St, Lincoln, NE 68588, United States
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58
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Serrano LR, Peters-Clarke TM, Arrey TN, Damoc E, Robinson ML, Lancaster NM, Shishkova E, Moss C, Pashkova A, Sinitcyn P, Brademan DR, Quarmby ST, Peterson AC, Zeller M, Hermanson D, Stewart H, Hock C, Makarov A, Zabrouskov V, Coon JJ. The One Hour Human Proteome. Mol Cell Proteomics 2024; 23:100760. [PMID: 38579929 PMCID: PMC11103439 DOI: 10.1016/j.mcpro.2024.100760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 03/23/2024] [Accepted: 03/29/2024] [Indexed: 04/07/2024] Open
Abstract
We describe deep analysis of the human proteome in less than 1 h. We achieve this expedited proteome characterization by leveraging state-of-the-art sample preparation, chromatographic separations, and data analysis tools, and by using the new Orbitrap Astral mass spectrometer equipped with a quadrupole mass filter, a high-field Orbitrap mass analyzer, and an asymmetric track lossless (Astral) mass analyzer. The system offers high tandem mass spectrometry acquisition speed of 200 Hz and detects hundreds of peptide sequences per second within data-independent acquisition or data-dependent acquisition modes of operation. The fast-switching capabilities of the new quadrupole complement the sensitivity and fast ion scanning of the Astral analyzer to enable narrow-bin data-independent analysis methods. Over a 30-min active chromatographic method consuming a total analysis time of 56 min, the Q-Orbitrap-Astral hybrid MS collects an average of 4319 MS1 scans and 438,062 tandem mass spectrometry scans per run, producing 235,916 peptide sequences (1% false discovery rate). On average, each 30-min analysis achieved detection of 10,411 protein groups (1% false discovery rate). We conclude, with these results and alongside other recent reports, that the 1-h human proteome is within reach.
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Affiliation(s)
- Lia R Serrano
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA; Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Trenton M Peters-Clarke
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA; Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | | | - Eugen Damoc
- Thermo Fisher Scientific GmbH, Bremen, Germany
| | - Margaret Lea Robinson
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Noah M Lancaster
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA; Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Evgenia Shishkova
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA; National Center for Quantitative Biology of Complex Systems, Madison, Wisconsin, USA
| | - Corinne Moss
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | | | - Pavel Sinitcyn
- Morgridge Institute for Research, Madison, Wisconsin, USA
| | | | - Scott T Quarmby
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA; National Center for Quantitative Biology of Complex Systems, Madison, Wisconsin, USA
| | | | | | | | | | | | | | | | - Joshua J Coon
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA; Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA; National Center for Quantitative Biology of Complex Systems, Madison, Wisconsin, USA; Morgridge Institute for Research, Madison, Wisconsin, USA.
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59
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Veth TS, Nouwen LV, Zwaagstra M, Lyoo H, Wierenga KA, Westendorp B, Altelaar MAFM, Berkers C, van Kuppeveld FJM, Heck AJR. Assessment of Kinome-Wide Activity Remodeling upon Picornavirus Infection. Mol Cell Proteomics 2024; 23:100757. [PMID: 38556169 PMCID: PMC11067349 DOI: 10.1016/j.mcpro.2024.100757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 03/16/2024] [Accepted: 03/28/2024] [Indexed: 04/02/2024] Open
Abstract
Picornaviridae represent a large family of single-stranded positive RNA viruses of which different members can infect both humans and animals. These include the enteroviruses (e.g., poliovirus, coxsackievirus, and rhinoviruses) as well as the cardioviruses (e.g., encephalomyocarditis virus). Picornaviruses have evolved to interact with, use, and/or evade cellular host systems to create the optimal environment for replication and spreading. It is known that viruses modify kinase activity during infection, but a proteome-wide overview of the (de)regulation of cellular kinases during picornavirus infection is lacking. To study the kinase activity landscape during picornavirus infection, we here applied dedicated targeted mass spectrometry-based assays covering ∼40% of the human kinome. Our data show that upon infection, kinases of the MAPK pathways become activated (e.g., ERK1/2, RSK1/2, JNK1/2/3, and p38), while kinases involved in regulating the cell cycle (e.g., CDK1/2, GWL, and DYRK3) become inactivated. Additionally, we observed the activation of CHK2, an important kinase involved in the DNA damage response. Using pharmacological kinase inhibitors, we demonstrate that several of these activated kinases are essential for the replication of encephalomyocarditis virus. Altogether, the data provide a quantitative understanding of the regulation of kinome activity induced by picornavirus infection, providing a resource important for developing novel antiviral therapeutic interventions.
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Affiliation(s)
- Tim S Veth
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands; Netherlands Proteomics Center, Utrecht, The Netherlands
| | - Lonneke V Nouwen
- Faculty of Veterinary Medicine, Virology Division, Department of Infectious Diseases and Immunology, Utrecht University, Utrecht, The Netherlands
| | - Marleen Zwaagstra
- Faculty of Veterinary Medicine, Virology Division, Department of Infectious Diseases and Immunology, Utrecht University, Utrecht, The Netherlands
| | - Heyrhyoung Lyoo
- Faculty of Veterinary Medicine, Virology Division, Department of Infectious Diseases and Immunology, Utrecht University, Utrecht, The Netherlands
| | - Kathryn A Wierenga
- Faculty of Veterinary Medicine, Division of Cell Biology, Metabolism & Cancer, Department Biomolecular Health Sciences, Utrecht University, Utrecht, The Netherlands
| | - Bart Westendorp
- Faculty of Veterinary Medicine, Division of Cell Biology, Metabolism & Cancer, Department Biomolecular Health Sciences, Utrecht University, Utrecht, The Netherlands
| | - Maarten A F M Altelaar
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands; Netherlands Proteomics Center, Utrecht, The Netherlands
| | - Celia Berkers
- Faculty of Veterinary Medicine, Division of Cell Biology, Metabolism & Cancer, Department Biomolecular Health Sciences, Utrecht University, Utrecht, The Netherlands
| | - Frank J M van Kuppeveld
- Faculty of Veterinary Medicine, Virology Division, Department of Infectious Diseases and Immunology, Utrecht University, Utrecht, The Netherlands
| | - Albert J R Heck
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands; Netherlands Proteomics Center, Utrecht, The Netherlands.
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60
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O’Lone C, Juhász A, Nye-Wood M, Moody D, Dunn H, Ral JP, Colgrave ML. Advancing Sustainable Malting Practices: Aquaporins as Potential Breeding Targets for Improved Water Uptake during Controlled Germination of Barley ( Hordeum vulgare L.). JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:10149-10161. [PMID: 38635353 PMCID: PMC11066872 DOI: 10.1021/acs.jafc.4c00884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 04/05/2024] [Accepted: 04/05/2024] [Indexed: 04/20/2024]
Abstract
The conversion of raw barley (Hordeum vulgare L.) to malt requires a process of controlled germination, where the grain is submerged in water to raise the moisture content to >40%. The transmembrane proteins, aquaporins, influence water uptake during the initial stage of controlled germination, yet little is known of their involvement in malting. With the current focus on sustainability, understanding the mechanisms of water uptake and usage during the initial stages of malting has become vital in improving efficient malting practices. In this study, we used quantitative proteomics analysis of two malting barley genotypes demonstrating differing water-uptake phenotypes in the initial stages of malting. Our study quantified 19 transmembrane proteins from nine families, including seven distinct aquaporin isoforms, including the plasma intrinsic proteins (PIPs) PIP1;1, PIP2;1, and PIP2;4 and the tonoplast intrinsic proteins (TIPs) TIP1;1, TIP2;3, TIP3;1, and TIP3;2. Our findings suggest that the presence of TIP1;1, TIP3;1, and TIP3;2 in the mature barley grain proteome is essential for facilitating water uptake, influencing cell turgor and the formation of large central lytic vacuoles aiding storage reserve hydrolysis and endosperm modification efficiency. This study proposes that TIP3s mediate water uptake in malting barley grain, offering potential breeding targets for improving sustainable malting practices.
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Affiliation(s)
- Clare
E. O’Lone
- Australian
Research Council Centre of Excellence for Innovations in Peptide and
Protein Science, School of Science, Edith
Cowan University, Joondalup 6027, Western Australia, Australia
- Agriculture
and Food, Commonwealth Scientific and Industrial
Research Organization, Black
Mountain, Australian Capital Territory 2601, Australia
| | - Angéla Juhász
- Australian
Research Council Centre of Excellence for Innovations in Peptide and
Protein Science, School of Science, Edith
Cowan University, Joondalup 6027, Western Australia, Australia
| | - Mitchell Nye-Wood
- Australian
Research Council Centre of Excellence for Innovations in Peptide and
Protein Science, School of Science, Edith
Cowan University, Joondalup 6027, Western Australia, Australia
| | - David Moody
- InterGrain
Pty Ltd, Bibra
Lake 6163, Western Australia, Australia
| | - Hugh Dunn
- Pilot
Malting Australia, School of Science, Edith
Cowan University, Joondalup 6027, Western Australia, Australia
| | - Jean-Philippe Ral
- Agriculture
and Food, Commonwealth Scientific and Industrial
Research Organization, Black
Mountain, Australian Capital Territory 2601, Australia
| | - Michelle L. Colgrave
- Australian
Research Council Centre of Excellence for Innovations in Peptide and
Protein Science, School of Science, Edith
Cowan University, Joondalup 6027, Western Australia, Australia
- Agriculture
and Food, Commonwealth Scientific and Industrial
Research Organization, St Lucia 4067, Queensland, Australia
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61
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Tsantilas KA, Merrihew GE, Robbins JE, Johnson RS, Park J, Plubell DL, Huang E, Riffle M, Sharma V, MacLean BX, Eckels J, Wu CC, Bereman MS, Spencer SE, Hoofnagle AN, MacCoss MJ. A framework for quality control in quantitative proteomics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.12.589318. [PMID: 38645098 PMCID: PMC11030400 DOI: 10.1101/2024.04.12.589318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
A thorough evaluation of the quality, reproducibility, and variability of bottom-up proteomics data is necessary at every stage of a workflow from planning to analysis. We share real-world case studies applying adaptable quality control (QC) measures to assess sample preparation, system function, and quantitative analysis. System suitability samples are repeatedly measured longitudinally with targeted methods, and we share examples where they are used on three instrument platforms to identify severe system failures and track function over months to years. Internal QCs incorporated at protein and peptide-level allow our team to assess sample preparation issues and to differentiate system failures from sample-specific issues. External QC samples prepared alongside our experimental samples are used to verify the consistency and quantitative potential of our results during batch correction and normalization before assessing biological phenotypes. We combine these controls with rapid analysis using Skyline, longitudinal QC metrics using AutoQC, and server-based data deposition using PanoramaWeb. We propose that this integrated approach to QC be used as a starting point for groups to facilitate rapid quality control assessment to ensure that valuable instrument time is used to collect the best quality data possible.
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Affiliation(s)
- Kristine A. Tsantilas
- Department of Genome Sciences, University of Washington, Washington 98195, United States
| | - Gennifer E. Merrihew
- Department of Genome Sciences, University of Washington, Washington 98195, United States
| | - Julia E. Robbins
- Department of Genome Sciences, University of Washington, Washington 98195, United States
| | - Richard S. Johnson
- Department of Genome Sciences, University of Washington, Washington 98195, United States
| | - Jea Park
- Department of Genome Sciences, University of Washington, Washington 98195, United States
| | - Deanna L. Plubell
- Department of Genome Sciences, University of Washington, Washington 98195, United States
| | - Eric Huang
- Department of Genome Sciences, University of Washington, Washington 98195, United States
| | - Michael Riffle
- Department of Biochemistry, University of Washington, Washington 98195, United States
| | - Vagisha Sharma
- Department of Genome Sciences, University of Washington, Washington 98195, United States
| | - Brendan X. MacLean
- Department of Genome Sciences, University of Washington, Washington 98195, United States
| | - Josh Eckels
- LabKey, 500 Union St #1000, Seattle, Washington 98101, United States
| | - Christine C. Wu
- Department of Genome Sciences, University of Washington, Washington 98195, United States
| | - Michael S. Bereman
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27607
| | - Sandra E. Spencer
- Canada’s Michael Smith Genome Sciences Centre (BC Cancer Research Institute), University of British Columbia, Vancouver, British Columbia V5Z 4S6, Canada
| | - Andrew N. Hoofnagle
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington 98195, United States
| | - Michael J. MacCoss
- Department of Genome Sciences, University of Washington, Washington 98195, United States
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62
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Mudbhari S, Lofgren L, Appidi MR, Vilgalys R, Hettich RL, Abraham PE. Decoding the chemical language of Suillus fungi: genome mining and untargeted metabolomics uncover terpene chemical diversity. mSystems 2024; 9:e0122523. [PMID: 38470040 PMCID: PMC11019867 DOI: 10.1128/msystems.01225-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 02/19/2024] [Indexed: 03/13/2024] Open
Abstract
Ectomycorrhizal fungi establish mutually beneficial relationships with trees, trading nutrients for carbon. Suillus are ectomycorrhizal fungi that are critical to the health of boreal and temperate forest ecosystems. Comparative genomics has identified a high number of non-ribosomal peptide synthetase and terpene biosynthetic gene clusters (BGC) potentially involved in fungal competition and communication. However, the functionality of these BGCs is not known. This study employed co-culture techniques to activate BGC expression and then used metabolomics to investigate the diversity of metabolic products produced by three Suillus species (Suillus hirtellus EM16, Suillus decipiens EM49, and Suillus cothurnatus VC1858), core members of the pine microbiome. After 28 days of growth on solid media, liquid chromatography-tandem mass spectrometry identified a diverse range of extracellular metabolites (exometabolites) along the interaction zone between Suillus co-cultures. Prenol lipids were among the most abundant chemical classes. Out of the 62 unique terpene BGCs predicted by genome mining, 41 putative prenol lipids (includes 37 putative terpenes) were identified across the three Suillus species using metabolomics. Notably, some terpenes were significantly more abundant in co-culture conditions. For example, we identified a metabolite matching to isomers isopimaric acid, sandaracopimaric acid, and abietic acid, which can be found in pine resin and play important roles in host defense mechanisms and Suillus spore germination. This research highlights the importance of combining genomics and metabolomics to advance our understanding of the chemical diversity underpinning fungal signaling and communication.IMPORTANCEUsing a combination of genomics and metabolomics, this study's findings offer new insights into the chemical diversity of Suillus fungi, which serve a critical role in forest ecosystems.
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Affiliation(s)
- Sameer Mudbhari
- UT-ORNL Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, Tennessee, USA
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
| | - Lotus Lofgren
- Biology Department, Duke University, Durham, North Carolina, USA
| | - Manasa R. Appidi
- UT-ORNL Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, Tennessee, USA
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
| | - Rytas Vilgalys
- Biology Department, Duke University, Durham, North Carolina, USA
| | - Robert L. Hettich
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
| | - Paul E. Abraham
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
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63
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Wen Q, Wang C, Chen D, Luo N, Fan J, Zhou Y, Yu X, Chen W. Proteomics-Based Identification of Potential Therapeutic Targets of Artesunate in a Lupus Nephritis MRL/lpr Mouse Model. J Proteome Res 2024; 23:1150-1162. [PMID: 38394376 DOI: 10.1021/acs.jproteome.3c00558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2024]
Abstract
This study aimed to identify potential therapeutic targets of artesunate in an MRL/lpr lupus nephritis mouse model by quantitative proteomics. We detected serum autoimmune markers and proteinuria in 40 female mice that were divided into 4 groups (n = 10): normal C57BL/6 control group; untreated MRL/lpr lupus; 9 mg/kg/day prednisone positive control MRL/lpr lupus; and 15 mg/kg/day artesunate-treated MRL/lpr lupus groups. Renal pathology in the untreated MRL/lpr lupus and artesunate groups was examined by Periodic acid-Schiff (PAS) staining. Artesunate treatment in lupus mice decreased serum autoantibody levels and proteinuria while alleviating lupus nephritis pathology. Through tandem mass tag-tandem mass spectrometry (TMT-MS/MS) analyses, differentially expressed proteins were identified in the artesunate group, and subsequent functional prediction suggested associations with antigen presentation, apoptosis, and immune regulation. Data are available via ProteomeXchange with the identifier PXD046815. Parallel reaction monitoring (PRM) analysis of the top 19 selected proteins confirmed the TMT-MS/MS results. Immunohistochemistry, immunofluorescence, and Western blotting of an enriched protein from PRM analysis, cathepsin S, linked to antigen presentation, highlighted its upregulation in the untreated MRL/lpr lupus group and downregulation following artesunate treatment. This study suggests that artesunate holds potential as a therapeutic agent for lupus nephritis, with cathepsin S identified as a potential target.
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Affiliation(s)
- Qiong Wen
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou 510080, China
| | - Cong Wang
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou 510080, China
| | - Dongni Chen
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou 510080, China
- Department of Nephrology, Center of Kidney and Urology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518000, China
| | - Ning Luo
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou 510080, China
| | - Jinjin Fan
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou 510080, China
| | - Yi Zhou
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou 510080, China
| | - Xueqing Yu
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou 510080, China
| | - Wei Chen
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou 510080, China
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64
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Torkamannejad S, Chang G, Aroge FA, Sun B. Single Isotopologue for In-Sample Calibration and Absolute Quantitation by LC-MS/MS. J Proteome Res 2024; 23:1351-1359. [PMID: 38445850 DOI: 10.1021/acs.jproteome.3c00848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
Targeted mass spectrometry (MS)-based absolute quantitative analysis has been increasingly used in biomarker discovery. The ability to accurately measure the masses by MS enabled the use of isotope-incorporated surrogates having virtually identical physiochemical properties with the target analytes as calibrators. Such a unique capacity allowed for accurate in-sample calibration. Current in-sample calibration uses multiple isotopologues or structural analogues for both the surrogate and the internal standard. Here, we simplified this common practice by using endogenous light peptides as the internal standards and used a mathematical deduction of "heavy matching light, HML" to directly quantify an endogenous analyte. This method provides all necessary assay performance parameters in the authentic matrix, including the lower limit of quantitation (LLOQ) and intercept of the calibration curve, by using only a single isotopologue of the analyte. This method can be applied to the quantitation of proteins, peptides, and small molecules. Using this method, we quantified the efficiency of heart tissue digestion and recovery using sodium deoxycholate as a detergent and two spiked exogenous proteins as mimics of heart proteins. The results demonstrated the robustness of the assay.
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Affiliation(s)
- Soroush Torkamannejad
- Department of Chemistry, Simon Fraser University, Burnaby, British Columbia V5A1S6, Canada
| | - Ge Chang
- Department of Chemistry, Simon Fraser University, Burnaby, British Columbia V5A1S6, Canada
| | - Fabusuyi A Aroge
- School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, British Columbia V3T0A3, Canada
| | - Bingyun Sun
- Department of Chemistry, Simon Fraser University, Burnaby, British Columbia V5A1S6, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, British Columbia V5A1S6, Canada
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Wu CC, Tsantilas KA, Park J, Plubell D, Sanders JA, Naicker P, Govender I, Buthelezi S, Stoychev S, Jordaan J, Merrihew G, Huang E, Parker ED, Riffle M, Hoofnagle AN, Noble WS, Poston KL, Montine TJ, MacCoss MJ. Mag-Net: Rapid enrichment of membrane-bound particles enables high coverage quantitative analysis of the plasma proteome. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.06.10.544439. [PMID: 38617345 PMCID: PMC11014469 DOI: 10.1101/2023.06.10.544439] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Membrane-bound particles in plasma are composed of exosomes, microvesicles, and apoptotic bodies and represent ~1-2% of the total protein composition. Proteomic interrogation of this subset of plasma proteins augments the representation of tissue-specific proteins, representing a "liquid biopsy," while enabling the detection of proteins that would otherwise be beyond the dynamic range of liquid chromatography-tandem mass spectrometry of unfractionated plasma. We have developed an enrichment strategy (Mag-Net) using hyper-porous strong-anion exchange magnetic microparticles to sieve membrane-bound particles from plasma. The Mag-Net method is robust, reproducible, inexpensive, and requires <100 μL plasma input. Coupled to a quantitative data-independent mass spectrometry analytical strategy, we demonstrate that we can collect results for >37,000 peptides from >4,000 plasma proteins with high precision. Using this analytical pipeline on a small cohort of patients with neurodegenerative disease and healthy age-matched controls, we discovered 204 proteins that differentiate (q-value < 0.05) patients with Alzheimer's disease dementia (ADD) from those without ADD. Our method also discovered 310 proteins that were different between Parkinson's disease and those with either ADD or healthy cognitively normal individuals. Using machine learning we were able to distinguish between ADD and not ADD with a mean ROC AUC = 0.98 ± 0.06.
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Affiliation(s)
- Christine C. Wu
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Jea Park
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Deanna Plubell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Justin A. Sanders
- Department of Computer Science, University of Washington, Seattle, WA, USA
| | | | | | | | | | | | - Gennifer Merrihew
- Department of Computer Science, University of Washington, Seattle, WA, USA
| | - Eric Huang
- Department of Computer Science, University of Washington, Seattle, WA, USA
| | - Edward D. Parker
- Vision Core Lab, Department of Ophthalmology, University of Washington, Seattle, WA, USA
| | - Michael Riffle
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - Andrew N. Hoofnagle
- Department of Lab Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - William S. Noble
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Department of Computer Science, University of Washington, Seattle, WA, USA
| | - Kathleen L. Poston
- Department of Neurology & Neurological Sciences, Stanford University, Palo Alto CA, USA
| | | | - Michael J. MacCoss
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
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66
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Hua QQH, Kültz D, Wiltshire K, Doubleday ZA, Gillanders BM. Projected ocean temperatures impair key proteins used in vision of octopus hatchlings. GLOBAL CHANGE BIOLOGY 2024; 30:e17255. [PMID: 38572638 DOI: 10.1111/gcb.17255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 02/27/2024] [Accepted: 03/02/2024] [Indexed: 04/05/2024]
Abstract
Global warming is one of the most significant and widespread effects of climate change. While early life stages are particularly vulnerable to increasing temperatures, little is known about the molecular processes that underpin their capacity to adapt to temperature change during early development. Using a quantitative proteomics approach, we investigated the effects of thermal stress on octopus embryos. We exposed Octopus berrima embryos to different temperature treatments (control 19°C, current summer temperature 22°C, or future projected summer temperature 25°C) until hatching. By comparing their protein expression levels, we found that future projected temperatures significantly reduced levels of key eye proteins such as S-crystallin and retinol dehydrogenase 12, suggesting the embryonic octopuses had impaired vision at elevated temperature. We also found that this was coupled with a cellular stress response that included a significant elevation of proteins involved in molecular chaperoning and redox regulation. Energy resources were also redirected away from non-essential processes such as growth and digestion. These findings, taken together with the high embryonic mortality observed under the highest temperature, identify critical physiological functions of embryonic octopuses that may be impaired under future warming conditions. Our findings demonstrate the severity of the thermal impacts on the early life stages of octopuses as demonstrated by quantitative proteome changes that affect vision, protein chaperoning, redox regulation and energy metabolism as critical physiological functions that underlie the responses to thermal stress.
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Affiliation(s)
- Qiaz Q H Hua
- Environment Institute, School of Biological Sciences, The University of Adelaide, South Australia, Australia
| | - Dietmar Kültz
- Department of Animal Sciences and Genome Centre, University of California, Davis, USA
| | - Kathryn Wiltshire
- Environment Institute, School of Biological Sciences, The University of Adelaide, South Australia, Australia
- South Australian Research and Development Institute, West Beach, South Australia
| | - Zoe A Doubleday
- Future Industries Institute, University of South Australia, Mawson Lakes, South Australia, Australia
| | - Bronwyn M Gillanders
- Environment Institute, School of Biological Sciences, The University of Adelaide, South Australia, Australia
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67
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Lapcik P, Stacey RG, Potesil D, Kulhanek P, Foster LJ, Bouchal P. Global Interactome Mapping Reveals Pro-tumorigenic Interactions of NF-κB in Breast Cancer. Mol Cell Proteomics 2024; 23:100744. [PMID: 38417630 PMCID: PMC10988130 DOI: 10.1016/j.mcpro.2024.100744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 02/01/2024] [Accepted: 02/23/2024] [Indexed: 03/01/2024] Open
Abstract
NF-κB pathway is involved in inflammation; however, recent data shows its role also in cancer development and progression, including metastasis. To understand the role of NF-κB interactome dynamics in cancer, we study the complexity of breast cancer interactome in luminal A breast cancer model and its rearrangement associated with NF-κB modulation. Liquid chromatography-mass spectrometry measurement of 160 size-exclusion chromatography fractions identifies 5460 protein groups. Seven thousand five hundred sixty eight interactions among these proteins have been reconstructed by PrInCE algorithm, of which 2564 have been validated in independent datasets. NF-κB modulation leads to rearrangement of protein complexes involved in NF-κB signaling and immune response, cell cycle regulation, and DNA replication. Central NF-κB transcription regulator RELA co-elutes with interactors of NF-κB activator PRMT5, and these complexes are confirmed by AlphaPulldown prediction. A complementary immunoprecipitation experiment recapitulates RELA interactions with other NF-κB factors, associating NF-κB inhibition with lower binding of NF-κB activators to RELA. This study describes a network of pro-tumorigenic protein interactions and their rearrangement upon NF-κB inhibition with potential therapeutic implications in tumors with high NF-κB activity.
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Affiliation(s)
- Petr Lapcik
- Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - R Greg Stacey
- Michael Smith Laboratories, University of British Columbia, Vancouver, Canada
| | - David Potesil
- Proteomics Core Facility, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Petr Kulhanek
- National Centre for Biomolecular Research, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Leonard J Foster
- Michael Smith Laboratories, University of British Columbia, Vancouver, Canada; Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, Canada
| | - Pavel Bouchal
- Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.
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68
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Gomez-Zepeda D, Michna T, Ziesmann T, Distler U, Tenzer S. HowDirty: An R package to evaluate molecular contaminants in LC-MS experiments. Proteomics 2024; 24:e2300134. [PMID: 37679057 DOI: 10.1002/pmic.202300134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 08/22/2023] [Accepted: 08/24/2023] [Indexed: 09/09/2023]
Abstract
Contaminants derived from consumables, reagents, and sample handling often negatively affect LC-MS data acquisition. In proteomics experiments, they can markedly reduce identification performance, reproducibility, and quantitative robustness. Here, we introduce a data analysis workflow combining MS1 feature extraction in Skyline with HowDirty, an R-markdown-based tool, that automatically generates an interactive report on the molecular contaminant level in LC-MS data sets. To facilitate the interpretation of the results, the HTML report is self-contained and self-explanatory, including plots that can be easily interpreted. The R package HowDirty is available from https://github.com/DavidGZ1/HowDirty. To demonstrate a showcase scenario for the application of HowDirty, we assessed the impact of ultrafiltration units from different providers on sample purity after filter-assisted sample preparation (FASP) digestion. This allowed us to select the filter units with the lowest contamination risk. Notably, the filter units with the lowest contaminant levels showed higher reproducibility regarding the number of peptides and proteins identified. Overall, HowDirty enables the efficient evaluation of sample quality covering a wide range of common contaminant groups that typically impair LC-MS analyses, facilitating corrective or preventive actions to minimize instrument downtime.
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Affiliation(s)
- David Gomez-Zepeda
- Helmholtz-Institute for Translational Oncology Mainz (HI-TRON), Mainz, Rheinland-Pfalz, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute for Immunology, University Medical Center of the Johannes-Gutenberg University, Mainz, Rheinland-Pfalz, Germany
| | - Thomas Michna
- Institute for Immunology, University Medical Center of the Johannes-Gutenberg University, Mainz, Rheinland-Pfalz, Germany
| | - Tanja Ziesmann
- Institute for Immunology, University Medical Center of the Johannes-Gutenberg University, Mainz, Rheinland-Pfalz, Germany
| | - Ute Distler
- Institute for Immunology, University Medical Center of the Johannes-Gutenberg University, Mainz, Rheinland-Pfalz, Germany
- Research Center for Immunotherapy (FZI), University Medical Center of the Johannes-Gutenberg University, Mainz, Rheinland-Pfalz, Germany
| | - Stefan Tenzer
- Helmholtz-Institute for Translational Oncology Mainz (HI-TRON), Mainz, Rheinland-Pfalz, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute for Immunology, University Medical Center of the Johannes-Gutenberg University, Mainz, Rheinland-Pfalz, Germany
- Research Center for Immunotherapy (FZI), University Medical Center of the Johannes-Gutenberg University, Mainz, Rheinland-Pfalz, Germany
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69
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Picciani M, Gabriel W, Giurcoiu VG, Shouman O, Hamood F, Lautenbacher L, Jensen CB, Müller J, Kalhor M, Soleymaniniya A, Kuster B, The M, Wilhelm M. Oktoberfest: Open-source spectral library generation and rescoring pipeline based on Prosit. Proteomics 2024; 24:e2300112. [PMID: 37672792 DOI: 10.1002/pmic.202300112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 08/17/2023] [Accepted: 08/18/2023] [Indexed: 09/08/2023]
Abstract
Machine learning (ML) and deep learning (DL) models for peptide property prediction such as Prosit have enabled the creation of high quality in silico reference libraries. These libraries are used in various applications, ranging from data-independent acquisition (DIA) data analysis to data-driven rescoring of search engine results. Here, we present Oktoberfest, an open source Python package of our spectral library generation and rescoring pipeline originally only available online via ProteomicsDB. Oktoberfest is largely search engine agnostic and provides access to online peptide property predictions, promoting the adoption of state-of-the-art ML/DL models in proteomics analysis pipelines. We demonstrate its ability to reproduce and even improve our results from previously published rescoring analyses on two distinct use cases. Oktoberfest is freely available on GitHub (https://github.com/wilhelm-lab/oktoberfest) and can easily be installed locally through the cross-platform PyPI Python package.
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Affiliation(s)
- Mario Picciani
- Computational Mass Spectrometry, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Wassim Gabriel
- Computational Mass Spectrometry, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Victor-George Giurcoiu
- Computational Mass Spectrometry, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Omar Shouman
- Computational Mass Spectrometry, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Firas Hamood
- Chair of Proteomics and Bioanalytics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Ludwig Lautenbacher
- Computational Mass Spectrometry, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Cecilia Bang Jensen
- Chair of Proteomics and Bioanalytics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Julian Müller
- Chair of Proteomics and Bioanalytics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Mostafa Kalhor
- Computational Mass Spectrometry, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Armin Soleymaniniya
- Computational Mass Spectrometry, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Bernhard Kuster
- Chair of Proteomics and Bioanalytics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Matthew The
- Chair of Proteomics and Bioanalytics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Mathias Wilhelm
- Computational Mass Spectrometry, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
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70
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Shrestha R, Karunadasa S, Grismer TS, Reyes AV, Xu SL. SECRET AGENT O-GlcNAcylates Hundreds of Proteins Involved in Diverse Cellular Processes in Arabidopsis. Mol Cell Proteomics 2024; 23:100732. [PMID: 38336175 PMCID: PMC10979276 DOI: 10.1016/j.mcpro.2024.100732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 01/16/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
O-GlcNAcylation is a critical post-translational modification of proteins observed in both plants and animals and plays a key role in growth and development. While considerable knowledge exists about over 3000 substrates in animals, our understanding of this modification in plants remains limited. Unlike animals, plants possess two putative homologs: SECRET AGENT (SEC) and SPINDLY, with SPINDLY also exhibiting O-fucosylation activity. To investigate the role of SEC as a major O-GlcNAc transferase in plants, we utilized lectin-weak affinity chromatography enrichment and stable isotope labeling in Arabidopsis labeling, quantifying at both MS1 and MS2 levels. Our findings reveal a significant reduction in O-GlcNAc levels in the sec mutant, indicating the critical role of SEC in mediating O-GlcNAcylation. Through a comprehensive approach, combining higher-energy collision dissociation and electron-transfer high-energy collision dissociation fragmentation with substantial fractionations, we expanded our GlcNAc profiling, identifying 436 O-GlcNAc targets, including 227 new targets. The targets span diverse cellular processes, suggesting broad regulatory functions of O-GlcNAcylation. The expanded targets also enabled exploration of crosstalk between O-GlcNAcylation and O-fucosylation. We also examined electron-transfer high-energy collision dissociation fragmentation for site assignment. This report advances our understanding of O-GlcNAcylation in plants, facilitating further research in this field.
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Affiliation(s)
- Ruben Shrestha
- Department of Plant Biology, Carnegie Institution for Science, Stanford, California, USA
| | - Sumudu Karunadasa
- Department of Plant Biology, Carnegie Institution for Science, Stanford, California, USA
| | - TaraBryn S Grismer
- Department of Plant Biology, Carnegie Institution for Science, Stanford, California, USA; Carnegie Mass Spectrometry Facility, Carnegie Institution for Science, Stanford, California, USA
| | - Andres V Reyes
- Department of Plant Biology, Carnegie Institution for Science, Stanford, California, USA; Carnegie Mass Spectrometry Facility, Carnegie Institution for Science, Stanford, California, USA
| | - Shou-Ling Xu
- Department of Plant Biology, Carnegie Institution for Science, Stanford, California, USA; Carnegie Mass Spectrometry Facility, Carnegie Institution for Science, Stanford, California, USA.
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71
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Lereim RR, Nytrova P, Guldbrandsen A, Havrdova EK, Myhr KM, Barsnes H, Berven FS. Natalizumab promotes anti-inflammatory and repair effects in multiple sclerosis. PLoS One 2024; 19:e0300914. [PMID: 38527011 PMCID: PMC10962820 DOI: 10.1371/journal.pone.0300914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 03/06/2024] [Indexed: 03/27/2024] Open
Abstract
BACKGROUND Multiple sclerosis is an inflammatory and degenerative disease of the central nervous system leading to demyelination and axonal loss. Relapsing-remitting multiple sclerosis (RRMS) is commonly treated by anti-inflammatory drugs, where one of the most effective drugs to date is the monoclonal antibody natalizumab. METHODS The cerebrospinal fluid (CSF) proteome was analyzed in 56 patients with RRMS before and after natalizumab treatment, using label-free mass spectrometry and a subset of the changed proteins were verified by parallel reaction monitoring in a new cohort of 20 patients, confirming the majority of observed changes. RESULTS A total of 287 differentially abundant proteins were detected including (i) the decrease of proteins with roles in immunity, such as immunoglobulin heavy constant mu, chitinase-3-like protein 1 and chitotriosidase, (ii) an increase of proteins involved in metabolism, such as lactate dehydrogenase A and B and malate-dehydrogenase cytoplasmic, and (iii) an increase of proteins associated with the central nervous system, including lactadherin and amyloid precursor protein. Comparison with the CSF-PR database provided evidence that natalizumab counters protein changes commonly observed in RRMS. Furthermore, vitamin-D binding protein and apolipoprotein 1 and 2 were unchanged during treatment with natalizumab, implying that these may be involved in disease activity unaffected by natalizumab. CONCLUSIONS Our study revealed that some of the previously suggested biomarkers for MS were affected by the natalizumab treatment while others were not. Proteins not previously suggested as biomarkers were also found affected by the treatment. In sum, the results provide new information on how the natalizumab treatment impacts the CSF proteome of MS patients, and points towards processes affected by the treatment. These findings ought to be explored further to disclose potential novel disease mechanisms and predict treatment responses.
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Affiliation(s)
- Ragnhild Reehorst Lereim
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway
- Computational Biology Unit (CBU), Department of Informatics, University of Bergen, Bergen, Norway
| | - Petra Nytrova
- Department of Neurology and Center for Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Astrid Guldbrandsen
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway
- Computational Biology Unit (CBU), Department of Informatics, University of Bergen, Bergen, Norway
| | - Eva Kubala Havrdova
- Department of Neurology and Center for Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Kjell-Morten Myhr
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Harald Barsnes
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway
- Computational Biology Unit (CBU), Department of Informatics, University of Bergen, Bergen, Norway
| | - Frode S. Berven
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway
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72
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Kac PR, González-Ortiz F, Emeršič A, Dulewicz M, Koutarapu S, Turton M, An Y, Smirnov D, Kulczyńska-Przybik A, Varma VR, Ashton NJ, Montoliu-Gaya L, Camporesi E, Winkel I, Paradowski B, Moghekar A, Troncoso JC, Lashley T, Brinkmalm G, Resnick SM, Mroczko B, Kvartsberg H, Gregorič Kramberger M, Hanrieder J, Čučnik S, Harrison P, Zetterberg H, Lewczuk P, Thambisetty M, Rot U, Galasko D, Blennow K, Karikari TK. Plasma p-tau212 antemortem diagnostic performance and prediction of autopsy verification of Alzheimer's disease neuropathology. Nat Commun 2024; 15:2615. [PMID: 38521766 PMCID: PMC10960791 DOI: 10.1038/s41467-024-46876-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 03/04/2024] [Indexed: 03/25/2024] Open
Abstract
Blood phosphorylated tau (p-tau) biomarkers, including p-tau217, show high associations with Alzheimer's disease (AD) neuropathologic change and clinical stage. Certain plasma p-tau217 assays recognize tau forms phosphorylated additionally at threonine-212, but the contribution of p-tau212 alone to AD is unknown. We developed a blood-based immunoassay that is specific to p-tau212 without cross-reactivity to p-tau217. Here, we examined the diagnostic utility of plasma p-tau212. In five cohorts (n = 388 participants), plasma p-tau212 showed high performances for AD diagnosis and for the detection of both amyloid and tau pathology, including at autopsy as well as in memory clinic populations. The diagnostic accuracy and fold changes of plasma p-tau212 were similar to those for p-tau217 but higher than p-tau181 and p-tau231. Immunofluorescent staining of brain tissue slices showed prominent p-tau212 reactivity in neurofibrillary tangles that co-localized with p-tau217 and p-tau202/205. These findings support plasma p-tau212 as a peripherally accessible biomarker of AD pathophysiology.
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Grants
- R01 AG075336 NIA NIH HHS
- R01 AG078796 NIA NIH HHS
- R01 AG083874 NIA NIH HHS
- R01 AG072641 NIA NIH HHS
- R01 AG068398 NIA NIH HHS
- R21 AG078538 NIA NIH HHS
- R01 MH108509 NIMH NIH HHS
- RF1 AG025516 NIA NIH HHS
- P30 AG066468 NIA NIH HHS
- R01 AG073267 NIA NIH HHS
- P01 AG025204 NIA NIH HHS
- #AARF-21-850325 Alzheimer's Association
- R01 MH121619 NIMH NIH HHS
- R37 AG023651 NIA NIH HHS
- R21 AG080705 NIA NIH HHS
- U24 AG082930 NIA NIH HHS
- RF1 AG052525 NIA NIH HHS
- R01 AG053952 NIA NIH HHS
- Demensförbundet (Dementia Association)
- Anna Lisa and Brother Björnsson’s Foundation
- BrightFocus Foundation (BrightFocus)
- Alzheimerfonden
- the Swedish Dementia Foundation, Gun and Bertil Stohnes Foundation, Åhlén-stifelsen, and Gamla Tjänarinnor Foundation.
- Vetenskapsrådet (Swedish Research Council)
- Alzheimer’s Drug Discovery Foundation (ADDF)
- EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
- EU Joint Programme – Neurodegenerative Disease Research (Programi i Përbashkët i BE-së për Kërkimet mbi Sëmundjet Neuro-degjeneruese)
- Swedish State Support for Clinical Research (#ALFGBG-71320), the AD Strategic Fund and the Alzheimer’s Association (#ADSF-21-831376-C, #ADSF-21-831381-C, and #ADSF-21-831377-C) the Bluefield Project, the Olav Thon Foundation, the Erling-Persson Family Foundation, Hjärnfonden, Sweden (#FO2022-0270), the National Institute for Health and Care Research University College London Hospitals Biomedical Research Centre, and the UK Dementia Research Institute at UCL (UKDRI-1003)
- the Swedish Alzheimer Foundation (#AF-930351, #AF-939721 and #AF-968270), Hjärnfonden, Sweden (#FO2017-0243 and #ALZ2022-0006), the Swedish state under the agreement between the Swedish government and the County Councils, the ALF-agreement (#ALFGBG-715986 and #ALFGBG-965240), the National Institute of Health (NIH), USA, (grant #1R01AG068398-01) the Alzheimer’s Association 2021 Zenith Award (ZEN-21-848495).
- Alzheimer’s Association
- National Institute of Health (NIH) - (R01 AG083874-01, U24 AG082930-01 1 RF1 AG052525-01A1, 5 P30 AG066468-04, 5 R01 AG053952-05, 3 R01 MH121619-04S1, 5 R37 AG023651-18, 2 RF1 AG025516-12A1, 5 R01 AG073267-02, 2 R01 MH108509-06, 5 R01 AG075336-02, 5 R01 AG072641-02, 2 P01 AG025204-16) the Swedish Alzheimer Foundation (Alzheimerfonden), the Aina (Ann) Wallströms and Mary-Ann Sjöbloms stiftelsen, and the Emil och Wera Cornells stiftelsen.
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Affiliation(s)
- Przemysław R Kac
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden.
| | - Fernando González-Ortiz
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 431 80, Sweden
| | - Andreja Emeršič
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, 1000, Slovenia
- Faculty of Pharmacy, University of Ljubljana, Ljubljana, Slovenia
| | - Maciej Dulewicz
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
| | - Srinivas Koutarapu
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
| | | | - Yang An
- Brain Aging and Behavior Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Denis Smirnov
- Department of Neurosciences, University of California, San Diego, CA, 92161, USA
| | | | - Vijay R Varma
- Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
- Department of Old Age Psychiatry, King's College London, London, SE5 8AF, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, 4011, Stavanger, Norway
- South London & Maudsley NHS Foundation, NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia, SE5 8AF, London, UK
| | - Laia Montoliu-Gaya
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
| | - Elena Camporesi
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
| | - Izabela Winkel
- Dementia Disorders Center, Medical University of Wrocław, 59-330, Ścinawa, Poland
| | - Bogusław Paradowski
- Department of Neurology, Medical University of Wrocław, 50-556, Wrocław, Poland
| | - Abhay Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Juan C Troncoso
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
- Department of Pathology, John Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Tammaryn Lashley
- Department of Neurodegenerative diseases, UCL Queen Square Institute of Neurology, WC1N 1PJ, London, UK
| | - Gunnar Brinkmalm
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Barbara Mroczko
- Department of Neurodegeneration Diagnostics, Medical University of Białystok, Białystok, 15-269, Poland
| | - Hlin Kvartsberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 431 80, Sweden
| | - Milica Gregorič Kramberger
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, 1000, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, 141 52, Huddinge, Sweden
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1E 6BT, UK
| | - Saša Čučnik
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, 1000, Slovenia
- Faculty of Pharmacy, University of Ljubljana, Ljubljana, Slovenia
- Department of Rheumatology, University Medical Center Ljubljana, Ljubljana, Slovenia
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 431 80, Sweden
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1E 6BT, UK
- UK Dementia Research Institute, University College London, London, WC1E 6BT, UK
- Hong Kong Center for Neurodegenerative Diseases, HKCeND, Hong Kong, 1512-1518, China
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53726, USA
| | - Piotr Lewczuk
- Department of Neurodegeneration Diagnostics, Medical University of Białystok, Białystok, 15-269, Poland
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, 91054, Germany
| | - Madhav Thambisetty
- Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Uroš Rot
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, 1000, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Douglas Galasko
- Department of Neurosciences, University of California, San Diego, CA, 92161, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 431 80, Sweden
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
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73
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St Paul M, Saibil SD, Kates M, Han S, Lien SC, Laister RC, Hezaveh K, Kloetgen A, Penny S, Guo T, Garcia-Batres C, Smith LK, Chung DC, Elford AR, Sayad A, Pinto D, Mak TW, Hirano N, McGaha T, Ohashi PS. Ex vivo activation of the GCN2 pathway metabolically reprograms T cells, leading to enhanced adoptive cell therapy. Cell Rep Med 2024; 5:101465. [PMID: 38460518 PMCID: PMC10983112 DOI: 10.1016/j.xcrm.2024.101465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 10/14/2023] [Accepted: 02/15/2024] [Indexed: 03/11/2024]
Abstract
The manipulation of T cell metabolism to enhance anti-tumor activity is an area of active investigation. Here, we report that activating the amino acid starvation response in effector CD8+ T cells ex vivo using the general control non-depressible 2 (GCN2) agonist halofuginone (halo) enhances oxidative metabolism and effector function. Mechanistically, we identified autophagy coupled with the CD98-mTOR axis as key downstream mediators of the phenotype induced by halo treatment. The adoptive transfer of halo-treated CD8+ T cells into tumor-bearing mice led to robust tumor control and curative responses. Halo-treated T cells synergized in vivo with a 4-1BB agonistic antibody to control tumor growth in a mouse model resistant to immunotherapy. Importantly, treatment of human CD8+ T cells with halo resulted in similar metabolic and functional reprogramming. These findings demonstrate that activating the amino acid starvation response with the GCN2 agonist halo can enhance T cell metabolism and anti-tumor activity.
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Affiliation(s)
- Michael St Paul
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Immunology, University of Toronto, Toronto, ON M5S 1C1, Canada
| | - Samuel D Saibil
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Immunology, University of Toronto, Toronto, ON M5S 1C1, Canada.
| | - Meghan Kates
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Immunology, University of Toronto, Toronto, ON M5S 1C1, Canada
| | - SeongJun Han
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Immunology, University of Toronto, Toronto, ON M5S 1C1, Canada
| | - Scott C Lien
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Immunology, University of Toronto, Toronto, ON M5S 1C1, Canada
| | - Rob C Laister
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada
| | - Kebria Hezaveh
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada
| | - Andreas Kloetgen
- Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Susanne Penny
- Human Health Therapeutics Research Centre, National Research Council Canada, Halifax, NS, Canada
| | - Tingxi Guo
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Immunology, University of Toronto, Toronto, ON M5S 1C1, Canada
| | - Carlos Garcia-Batres
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada
| | - Logan K Smith
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada
| | - Douglas C Chung
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Immunology, University of Toronto, Toronto, ON M5S 1C1, Canada
| | - Alisha R Elford
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada
| | - Azin Sayad
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada
| | - Devanand Pinto
- Human Health Therapeutics Research Centre, National Research Council Canada, Halifax, NS, Canada
| | - Tak W Mak
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada
| | - Naoto Hirano
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Immunology, University of Toronto, Toronto, ON M5S 1C1, Canada
| | - Tracy McGaha
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Immunology, University of Toronto, Toronto, ON M5S 1C1, Canada
| | - Pamela S Ohashi
- Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Immunology, University of Toronto, Toronto, ON M5S 1C1, Canada.
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74
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Krawic JR, Ladd NA, Cansler M, McMurtrey C, Devereaux J, Worley A, Ahmed T, Froyd C, Kulicke CA, Swarbrick G, Nilsen A, Lewinsohn DM, Adams EJ, Hildebrand W. Multiple Isomers of Photolumazine V Bind MR1 and Differentially Activate MAIT Cells. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2024; 212:933-940. [PMID: 38275935 PMCID: PMC10909690 DOI: 10.4049/jimmunol.2300609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 01/03/2024] [Indexed: 01/27/2024]
Abstract
In response to microbial infection, the nonclassical Ag-presenting molecule MHC class I-related protein 1 (MR1) presents secondary microbial metabolites to mucosal-associated invariant T (MAIT) cells. In this study, we further characterize the repertoire of ligands captured by MR1 produced in Hi5 (Trichoplusia ni) cells from Mycobacterium smegmatis via mass spectrometry. We describe the (to our knowledge) novel MR1 ligand photolumazine (PL)V, a hydroxyindolyl-ribityllumazine with four isomers differing in the positioning of a hydroxyl group. We show that all four isomers are produced by M. smegmatis in culture and that at least three can induce MR1 surface translocation. Furthermore, human MAIT cell clones expressing distinct TCR β-chains differentially responded to the PLV isomers, demonstrating that the subtle positioning of a single hydroxyl group modulates TCR recognition. This study emphasizes structural microheterogeneity within the MR1 Ag repertoire and the remarkable selectivity of MAIT cell TCRs.
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Affiliation(s)
- Jason R. Krawic
- Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Nicole A. Ladd
- Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL
| | - Meghan Cansler
- Department of Pediatrics, Oregon Health and Sciences University, Portland, OR
| | | | - Jordan Devereaux
- Oregon Health and Sciences University Medicinal Chemistry Core, Portland, OR
| | - Aneta Worley
- Research and Development, VA Portland Health Care System, Portland, OR
| | - Tania Ahmed
- Department of Pediatrics, Oregon Health and Sciences University, Portland, OR
| | - Cara Froyd
- Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL
| | - Corinna A. Kulicke
- Division of Pulmonary, Allergy, and Critical Care Medicine, Oregon Health & Science University, Por
| | - Gwendolyn Swarbrick
- Department of Pediatrics, Oregon Health and Sciences University, Portland, OR
| | - Aaron Nilsen
- Oregon Health and Sciences University Medicinal Chemistry Core, Portland, OR
| | - David M. Lewinsohn
- Research and Development, VA Portland Health Care System, Portland, OR
- Division of Pulmonary, Allergy, and Critical Care Medicine, Oregon Health & Science University, Por
| | - Erin J. Adams
- Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL
| | - William Hildebrand
- Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK
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75
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Ser Z, Gascoigne NRJ, MacAry PA, Sobota RM. Protocol for structural modeling of antibody to human leukocyte antigen interaction using discovery and targeted cross-linking mass spectrometry. STAR Protoc 2024; 5:102927. [PMID: 38431839 PMCID: PMC10914520 DOI: 10.1016/j.xpro.2024.102927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 12/20/2023] [Accepted: 02/15/2024] [Indexed: 03/05/2024] Open
Abstract
Cross-linking mass spectrometry (XL-MS) provides low-resolution structural information to model protein structures. Here, we present a protocol to identify cross-links of purified antibody binding to purified human leukocyte antigen (HLA). We describe steps for using a discovery-based XL-MS approach followed by a targeted XL-MS approach. We then detail procedures for using the identified cross-links with other structural data for molecular docking of the antibody to HLA. This protocol has applications for modeling the interacting structure of purified antibody to antigen. For complete details on the use and execution of this protocol, please refer to Ser et al.1.
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Affiliation(s)
- Zheng Ser
- Functional Proteomics Laboratory, SingMass National Laboratory, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A∗STAR), Singapore 138673, Singapore.
| | - Nicholas R J Gascoigne
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, Singapore 117545, Singapore; Immunology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, Singapore 117545, Singapore
| | - Paul A MacAry
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, Singapore 117545, Singapore; Immunology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, Singapore 117545, Singapore
| | - Radoslaw M Sobota
- Functional Proteomics Laboratory, SingMass National Laboratory, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A∗STAR), Singapore 138673, Singapore.
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76
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Troitzsch D, Knop R, Dittmann S, Bartel J, Zühlke D, Möller TA, Trän L, Echelmeyer T, Sievers S. Characterizing the flavodoxin landscape in Clostridioides difficile. Microbiol Spectr 2024; 12:e0189523. [PMID: 38319052 PMCID: PMC10913485 DOI: 10.1128/spectrum.01895-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 12/23/2023] [Indexed: 02/07/2024] Open
Abstract
Clostridioides difficile infections have become a major challenge in medical facilities. The bacterium is capable of spore formation allowing the survival of antibiotic treatment. Therefore, research on the physiology of C. difficile is important for the development of alternative treatment strategies. In this study, we investigated eight putative flavodoxins of C. difficile 630. Flavodoxins are small electron transfer proteins of specifically low potential. The unusually high number of flavodoxins in C. difficile suggests that they are expressed under different conditions. We determined high transcription levels for several flavodoxins during the exponential growth phase, especially for floX. Since flavodoxins are capable of replacing ferredoxins under iron deficiency conditions in other bacteria, we also examined their expression in C. difficile under low iron and no iron levels. In particular, the amount of fldX increased with decreasing iron concentration and thus could possibly replace ferredoxins. Moreover, we demonstrated that fldX is increasingly expressed under different oxidative stress conditions and thus may play an important role in the oxidative stress response. While increased fldX expression was detectable at both RNA and protein level, CD2825 showed increased expression only at mRNA level under H2O2 stress with sufficient iron availability and may indicate hydroxyl radical-dependent transcription. Although the exact function of the individual flavodoxins in C. difficile needs to be further investigated, the present study shows that flavodoxins could play an important role in several physiological processes and under infection-relevant conditions. IMPORTANCE The gram-positive, anaerobic, and spore-forming bacterium Clostridioides difficile has become a vast problem in human health care facilities. The antibiotic-associated infection with this intestinal pathogen causes serious and recurrent inflammation of the intestinal epithelium, in many cases with a severe course. To come up with novel targeted therapies against C. difficile infections, a more detailed knowledge on the pathogen's physiology is mandatory. Eight putative flavodoxins, an extraordinarily high copy number of this type of small electron transfer proteins, are annotated for C. difficile. Flavodoxins are known to be essential electron carriers in other bacteria, for instance, during infection-relevant conditions such as iron limitation and oxidative stress. This work is a first and comprehensive overview on characteristics and expression profiles of the putative flavodoxins in the pathogen C. difficile.
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Affiliation(s)
- Daniel Troitzsch
- Department of Microbial Physiology and Molecular Biology, Institute of Microbiology, University of Greifswald, Greifswald, Germany
| | - Robert Knop
- Department of Microbial Physiology and Molecular Biology, Institute of Microbiology, University of Greifswald, Greifswald, Germany
| | - Silvia Dittmann
- Department of Microbial Physiology and Molecular Biology, Institute of Microbiology, University of Greifswald, Greifswald, Germany
| | - Jürgen Bartel
- Department of Microbial Proteomics, Institute of Microbiology, University of Greifswald, Greifswald, Germany
| | - Daniela Zühlke
- Department of Microbial Physiology and Molecular Biology, Institute of Microbiology, University of Greifswald, Greifswald, Germany
| | - Timon Alexander Möller
- Department of Microbial Physiology and Molecular Biology, Institute of Microbiology, University of Greifswald, Greifswald, Germany
| | - Linda Trän
- Department of Microbial Physiology and Molecular Biology, Institute of Microbiology, University of Greifswald, Greifswald, Germany
| | - Thaddäus Echelmeyer
- Department of Microbial Physiology and Molecular Biology, Institute of Microbiology, University of Greifswald, Greifswald, Germany
| | - Susanne Sievers
- Department of Microbial Physiology and Molecular Biology, Institute of Microbiology, University of Greifswald, Greifswald, Germany
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77
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Castaldi V, Langella E, Buonanno M, Di Lelio I, Aprile AM, Molisso D, Criscuolo MC, D'Andrea LD, Romanelli A, Amoresano A, Pinto G, Illiano A, Chiaiese P, Becchimanzi A, Pennacchio F, Rao R, Monti SM. Intrinsically disordered Prosystemin discloses biologically active repeat motifs. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2024; 340:111969. [PMID: 38159610 DOI: 10.1016/j.plantsci.2023.111969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 12/22/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
The in-depth studies over the years on the defence barriers by tomato plants have shown that the Systemin peptide controls the response to a wealth of environmental stress agents. This multifaceted stress reaction seems to be related to the intrinsic disorder of its precursor protein, Prosystemin (ProSys). Since latest findings show that ProSys has biological functions besides Systemin sequence, here we wanted to assess if this precursor includes peptide motifs able to trigger stress-related pathways. Candidate peptides were identified in silico and synthesized to test their capacity to trigger defence responses in tomato plants against different biotic stressors. Our results demonstrated that ProSys harbours several repeat motifs which triggered plant immune reactions against pathogens and pest insects. Three of these peptides were detected by mass spectrometry in plants expressing ProSys, demonstrating their effective presence in vivo. These experimental data shed light on unrecognized functions of ProSys, mediated by multiple biologically active sequences which may partly account for the capacity of ProSys to induce defense responses to different stress agents.
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Affiliation(s)
- Valeria Castaldi
- Department of Agricultural Sciences, University of Naples Federico II, via Università 100, Portici, Naples 80055, Italy
| | - Emma Langella
- Institute of Biostructures and Bioimaging, National Research Council (IBB, CNR), via Pietro Castellino 111, Naples 80131, Italy.
| | - Martina Buonanno
- Institute of Biostructures and Bioimaging, National Research Council (IBB, CNR), via Pietro Castellino 111, Naples 80131, Italy
| | - Ilaria Di Lelio
- Department of Agricultural Sciences, University of Naples Federico II, via Università 100, Portici, Naples 80055, Italy; Interuniversity Center for Studies on Bioinspired Agro-Environmental Technology (BAT Center), University of Naples Federico II, via Università 100, Portici, 80055 Naples, Italy
| | - Anna Maria Aprile
- Department of Agricultural Sciences, University of Naples Federico II, via Università 100, Portici, Naples 80055, Italy
| | - Donata Molisso
- Department of Agricultural Sciences, University of Naples Federico II, via Università 100, Portici, Naples 80055, Italy
| | - Martina Chiara Criscuolo
- Department of Agricultural Sciences, University of Naples Federico II, via Università 100, Portici, Naples 80055, Italy
| | - Luca Domenico D'Andrea
- Istituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC), Consiglio Nazionale delle Ricerche (CNR), via Alfonso Corti 12, 20131 Milano, Italy
| | | | - Angela Amoresano
- Department of Chemical Sciences, University of Naples Federico II, via Cynthia 8, Napoli and Interuniversitary Consortium "Istituto Nazionale Biostrutture e Biosistemi, 80126 Roma, Italy
| | - Gabriella Pinto
- Department of Chemical Sciences, University of Naples Federico II, via Cynthia 8, Napoli and Interuniversitary Consortium "Istituto Nazionale Biostrutture e Biosistemi, 80126 Roma, Italy
| | - Anna Illiano
- Department of Chemical Sciences, University of Naples Federico II, via Cynthia 8, Napoli and Interuniversitary Consortium "Istituto Nazionale Biostrutture e Biosistemi, 80126 Roma, Italy
| | - Pasquale Chiaiese
- Department of Agricultural Sciences, University of Naples Federico II, via Università 100, Portici, Naples 80055, Italy
| | - Andrea Becchimanzi
- Department of Agricultural Sciences, University of Naples Federico II, via Università 100, Portici, Naples 80055, Italy; Interuniversity Center for Studies on Bioinspired Agro-Environmental Technology (BAT Center), University of Naples Federico II, via Università 100, Portici, 80055 Naples, Italy
| | - Francesco Pennacchio
- Department of Agricultural Sciences, University of Naples Federico II, via Università 100, Portici, Naples 80055, Italy; Interuniversity Center for Studies on Bioinspired Agro-Environmental Technology (BAT Center), University of Naples Federico II, via Università 100, Portici, 80055 Naples, Italy
| | - Rosa Rao
- Department of Agricultural Sciences, University of Naples Federico II, via Università 100, Portici, Naples 80055, Italy; Interuniversity Center for Studies on Bioinspired Agro-Environmental Technology (BAT Center), University of Naples Federico II, via Università 100, Portici, 80055 Naples, Italy.
| | - Simona Maria Monti
- Institute of Biostructures and Bioimaging, National Research Council (IBB, CNR), via Pietro Castellino 111, Naples 80131, Italy.
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78
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Fashe MM, Le TV, Gower MN, Mulrenin IR, Dorman KF, Smith S, Fallon JK, Dumond JB, Boggess KA, Lee CR. Impact of Pregnancy on the Pharmacokinetics and Metabolism of Nicotinamide in Humans. Clin Pharmacol Ther 2024; 115:556-564. [PMID: 38093631 PMCID: PMC11250906 DOI: 10.1002/cpt.3146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 12/11/2023] [Indexed: 12/17/2023]
Abstract
In pre-eclampsia models, nicotinamide (NAM) has protective effects in pre-eclampsia and is being evaluated as a therapeutic nutraceutical in clinical studies. NAM undergoes extensive hepatic metabolism by NAM N-methyltransferase to methylnicotinamide (MNA), which is subsequently metabolized to methyl-2-pyridone-5-carboxamide (M2PY) by aldehyde oxidase. However, the pharmacokinetics of NAM and its major metabolites has never been studied in pregnant individuals. Blood samples were collected before and 1, 2, 4, 8, and 24 hours after single 1 g oral NAM dose in healthy pregnant (gestational age 24-33 weeks) and nonpregnant female volunteers (n = 6/group). Pooled urine was collected from 0 to 8 hours. NAM, MNA, and M2PY area under the concentration-time curve (AUC) data were analyzed by noncompartmental analysis. No difference in the plasma AUC0→24 of NAM (median (25%-75%): 463 (436-576) vs. 510 (423, 725) μM*hour, P = 0.430) and its intermediate metabolite MNA (89.1 (60.4, 124.4) vs. 83.8 (62.7, 93.7) μM*hour, P = 0.515) was observed in pregnant and nonpregnant volunteers, respectively; however, the terminal metabolite M2PY AUC0 → 24 was significantly lower in pregnant individuals (218 (188, 254) vs. 597 (460, 653) μM*hour, P < 0.001). NAM renal clearance (CLR ; P = 0.184), MNA CLR (P = 0.180), and total metabolite formation clearance (P = 0.405) did not differ across groups; however, M2PY CLR was significantly higher in pregnant individuals (10.5 (9.3-11.3) vs. 7.5 (6.4-8.5) L/h, P = 0.002). These findings demonstrate that the PK of NAM and systemic exposure to its intermediate metabolite MNA are not significantly altered during pregnancy, and systemic exposure to NAM's major metabolite M2PY was reduced during pregnancy due to increased renal elimination.
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Affiliation(s)
- Muluneh M. Fashe
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Tien V. Le
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Megan N. Gower
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ian R. Mulrenin
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Karen F. Dorman
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Spenser Smith
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - John K. Fallon
- Center for Nanotechnology in Drug Delivery and Division of Pharmacoengineering and Molecular Pharmaceutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Julie B. Dumond
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kim A. Boggess
- Department of Obstetrics & Gynecology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Craig R. Lee
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Hu E, Yang T, Cai L, Ouyang J, Wang F, Li Z, Wang Y, Xing X, Liu X. Proteomic Analysis Identifies GSN as a Noninvasive Circulating Serum Biomarker for Predicting Early Recurrence of Hepatocellular Carcinoma. J Proteome Res 2024; 23:1062-1074. [PMID: 38373391 DOI: 10.1021/acs.jproteome.3c00813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
Hepatocellular carcinoma (HCC) is susceptible to early recurrence, but it lacks effective predictive biomarkers. In this study, we retrospectively selected 179 individuals as a discovery cohort (126 HCC patients and 53 liver cirrhosis (LC) patients) for screening candidate serum biomarkers of early recurrence based on data independent acquisition-mass spectrometry strategy. And then, the candidate biomarkers were validated in an additional independent cohort with 192 individuals (142 HCC patients and 50 LC patients) using parallel reaction monitoring targeted quantitative techniques (PXD047852). Eventually, we validated that gelsolin (GSN) concentrations were significantly lower in HCC than in LC (p < 0.0001), patients with low GSN concentrations had a poor prognosis (p < 0.0001), and GSN concentrations were significantly lower in early recurrence HCC than in late recurrence HCC (p < 0.0001). These trends were also observed in alpha-fetoprotein (AFP)-negative HCC patients. The area under the curve of machine-learning-based predictive model (GSN and microvascular invasion) for predicting early recurrence risk reached 0.803 (95% confidence interval (CI): 0.786-0.820) and maintained the same efficacy in AFP-negative patients. In conclusion, GSN is a novel serum biomarker for early recurrence of HCC. The model could provide timely warning to HCC patients at high risk of recurrence.
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Affiliation(s)
- En Hu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Tao Yang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Linsheng Cai
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Jiahe Ouyang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Fei Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Zongman Li
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Yingchao Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Xiaohua Xing
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Xiaolong Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
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80
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Petralia F, Ma W, Yaron TM, Caruso FP, Tignor N, Wang JM, Charytonowicz D, Johnson JL, Huntsman EM, Marino GB, Calinawan A, Evangelista JE, Selvan ME, Chowdhury S, Rykunov D, Krek A, Song X, Turhan B, Christianson KE, Lewis DA, Deng EZ, Clarke DJB, Whiteaker JR, Kennedy JJ, Zhao L, Segura RL, Batra H, Raso MG, Parra ER, Soundararajan R, Tang X, Li Y, Yi X, Satpathy S, Wang Y, Wiznerowicz M, González-Robles TJ, Iavarone A, Gosline SJC, Reva B, Robles AI, Nesvizhskii AI, Mani DR, Gillette MA, Klein RJ, Cieslik M, Zhang B, Paulovich AG, Sebra R, Gümüş ZH, Hostetter G, Fenyö D, Omenn GS, Cantley LC, Ma'ayan A, Lazar AJ, Ceccarelli M, Wang P. Pan-cancer proteogenomics characterization of tumor immunity. Cell 2024; 187:1255-1277.e27. [PMID: 38359819 PMCID: PMC10988632 DOI: 10.1016/j.cell.2024.01.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 09/29/2023] [Accepted: 01/16/2024] [Indexed: 02/17/2024]
Abstract
Despite the successes of immunotherapy in cancer treatment over recent decades, less than <10%-20% cancer cases have demonstrated durable responses from immune checkpoint blockade. To enhance the efficacy of immunotherapies, combination therapies suppressing multiple immune evasion mechanisms are increasingly contemplated. To better understand immune cell surveillance and diverse immune evasion responses in tumor tissues, we comprehensively characterized the immune landscape of more than 1,000 tumors across ten different cancers using CPTAC pan-cancer proteogenomic data. We identified seven distinct immune subtypes based on integrative learning of cell type compositions and pathway activities. We then thoroughly categorized unique genomic, epigenetic, transcriptomic, and proteomic changes associated with each subtype. Further leveraging the deep phosphoproteomic data, we studied kinase activities in different immune subtypes, which revealed potential subtype-specific therapeutic targets. Insights from this work will facilitate the development of future immunotherapy strategies and enhance precision targeting with existing agents.
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Affiliation(s)
- Francesca Petralia
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Weiping Ma
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Tomer M Yaron
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10021, USA; Englander Institute for Precision Medicine, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA; Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Francesca Pia Caruso
- BIOGEM Institute of Molecular Biology and Genetics, 83031 Ariano Irpino, Italy; Department of Electrical Engineering and Information Technologies, University of Naples "Federico II", Naples, Italy
| | - Nicole Tignor
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Joshua M Wang
- Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Daniel Charytonowicz
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jared L Johnson
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10021, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA; Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Emily M Huntsman
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10021, USA; Englander Institute for Precision Medicine, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Giacomo B Marino
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Anna Calinawan
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - John Erol Evangelista
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Myvizhi Esai Selvan
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Shrabanti Chowdhury
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Dmitry Rykunov
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Azra Krek
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Xiaoyu Song
- Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Berk Turhan
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Karen E Christianson
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - David A Lewis
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Eden Z Deng
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Daniel J B Clarke
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jeffrey R Whiteaker
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Jacob J Kennedy
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Lei Zhao
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Rossana Lazcano Segura
- Departments of Pathology & Genomic Medicine, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Harsh Batra
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Maria Gabriela Raso
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Edwin Roger Parra
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Rama Soundararajan
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ximing Tang
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yize Li
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Xinpei Yi
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Shankha Satpathy
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Ying Wang
- Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Maciej Wiznerowicz
- Department of Medical Biotechnology, Poznan University of Medical Sciences, 61-701 Poznań, Poland; International Institute for Molecular Oncology, 60-203 Poznań, Poland; Department of Oncology, Heliodor Swiecicki Clinical Hospital, 60-203 Poznań, Poland
| | - Tania J González-Robles
- Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Antonio Iavarone
- Department of Neurological Surgery, Department of Biochemistry, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Sara J C Gosline
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Boris Reva
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Alexey I Nesvizhskii
- Departments of Pathology and Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - D R Mani
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Michael A Gillette
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Robert J Klein
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Marcin Cieslik
- Departments of Pathology and Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Amanda G Paulovich
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Robert Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zeynep H Gümüş
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Galen Hostetter
- Pathology and Biorepository Core, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - David Fenyö
- Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Gilbert S Omenn
- Departments of Computational Medicine & Bioinformatics, Internal Medicine, Human Genetics, & Environmental Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Lewis C Cantley
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10021, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA; Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Avi Ma'ayan
- Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Alexander J Lazar
- Departments of Pathology & Genomic Medicine, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Michele Ceccarelli
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA; Department of Public Health Sciences, University of Miami, Miami, FL, USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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81
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Pukale DD, Adkins-Travis K, Aryal SR, Shriver LP, Patti GJ, Leipzig ND. Investigating post-traumatic syringomyelia and local fluid osmoregulation via a rat model. Fluids Barriers CNS 2024; 21:19. [PMID: 38409031 PMCID: PMC10895764 DOI: 10.1186/s12987-024-00514-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 01/25/2024] [Indexed: 02/28/2024] Open
Abstract
BACKGROUND Syringomyelia (SM) is characterized by the development of fluid-filled cavities, referred to as syrinxes, within the spinal cord tissue. The molecular etiology of SM post-spinal cord injury (SCI) is not well understood and only invasive surgical based treatments are available to treat SM clinically. This study builds upon our previous omics studies and in vitro cellular investigations to further understand local fluid osmoregulation in post-traumatic SM (PTSM) to highlight important pathways for future molecular interventions. METHODS A rat PTSM model consisting of a laminectomy at the C7 to T1 level followed by a parenchymal injection of 2 μL quisqualic acid (QA) and an injection of 5 μL kaolin in the subarachnoid space was utilized 6 weeks after initial surgery, parenchymal fluid and cerebrospinal fluid (CSF) were collected, and the osmolality of fluids were analyzed. Immunohistochemistry (IHC), metabolomics analysis using LC-MS, and mass spectrometry-based imaging (MSI) were performed on injured and laminectomy-only control spinal cords. RESULTS We demonstrated that the osmolality of the local parenchymal fluid encompassing syrinxes was higher compared to control spinal cords after laminectomy, indicating a local osmotic imbalance due to SM injury. Moreover, we also found that parenchymal fluid is more hypertonic than CSF, indicating establishment of a local osmotic gradient in the PTSM injured spinal cord (syrinx site) forcing fluid into the spinal cord parenchyma to form and/or expand syrinxes. IHC results demonstrated upregulation of betaine, ions, water channels/transporters, and enzymes (BGT1, AQP1, AQP4, CHDH) at the syrinx site as compared to caudal and rostral sites to the injury, implying extensive local osmoregulation activities at the syrinx site. Further, metabolomics analysis corroborated alterations in osmolality at the syrinx site by upregulation of small molecule osmolytes including betaine, carnitine, glycerophosphocholine, arginine, creatine, guanidinoacetate, and spermidine. CONCLUSIONS In summary, PTSM results in local osmotic disturbance that propagates at 6 weeks following initial injury. This coincides with and may contribute to syrinx formation/expansion.
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Affiliation(s)
- Dipak D Pukale
- Department of Chemical, Biomolecular, and Corrosion Engineering, The University of Akron, Akron, OH, 44325, USA
| | - Kayla Adkins-Travis
- Departments of Chemistry and Medicine, Center for Proteomics, Metabolomics, and Isotope Tracing, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Siddhartha R Aryal
- Department of Biomedical Engineering, The University of Akron, Akron, OH, 44325, USA
| | - Leah P Shriver
- Departments of Chemistry and Medicine, Center for Proteomics, Metabolomics, and Isotope Tracing, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Gary J Patti
- Departments of Chemistry and Medicine, Center for Proteomics, Metabolomics, and Isotope Tracing, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Nic D Leipzig
- Department of Chemical, Biomolecular, and Corrosion Engineering, The University of Akron, Akron, OH, 44325, USA.
- Department of Biomedical Engineering, The University of Akron, Akron, OH, 44325, USA.
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82
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Messer LF, Lee CE, Wattiez R, Matallana-Surget S. Novel functional insights into the microbiome inhabiting marine plastic debris: critical considerations to counteract the challenges of thin biofilms using multi-omics and comparative metaproteomics. MICROBIOME 2024; 12:36. [PMID: 38389111 PMCID: PMC10882806 DOI: 10.1186/s40168-024-01751-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 01/03/2024] [Indexed: 02/24/2024]
Abstract
BACKGROUND Microbial functioning on marine plastic surfaces has been poorly documented, especially within cold climates where temperature likely impacts microbial activity and the presence of hydrocarbonoclastic microorganisms. To date, only two studies have used metaproteomics to unravel microbial genotype-phenotype linkages in the marine 'plastisphere', and these have revealed the dominance of photosynthetic microorganisms within warm climates. Advancing the functional representation of the marine plastisphere is vital for the development of specific databases cataloging the functional diversity of the associated microorganisms and their peptide and protein sequences, to fuel biotechnological discoveries. Here, we provide a comprehensive assessment for plastisphere metaproteomics, using multi-omics and data mining on thin plastic biofilms to provide unique insights into plastisphere metabolism. Our robust experimental design assessed DNA/protein co-extraction and cell lysis strategies, proteomics workflows, and diverse protein search databases, to resolve the active plastisphere taxa and their expressed functions from an understudied cold environment. RESULTS For the first time, we demonstrate the predominance and activity of hydrocarbonoclastic genera (Psychrobacter, Flavobacterium, Pseudomonas) within a primarily heterotrophic plastisphere. Correspondingly, oxidative phosphorylation, the citrate cycle, and carbohydrate metabolism were the dominant pathways expressed. Quorum sensing and toxin-associated proteins of Streptomyces were indicative of inter-community interactions. Stress response proteins expressed by Psychrobacter, Planococcus, and Pseudoalteromonas and proteins mediating xenobiotics degradation in Psychrobacter and Pseudoalteromonas suggested phenotypic adaptations to the toxic chemical microenvironment of the plastisphere. Interestingly, a targeted search strategy identified plastic biodegradation enzymes, including polyamidase, hydrolase, and depolymerase, expressed by rare taxa. The expression of virulence factors and mechanisms of antimicrobial resistance suggested pathogenic genera were active, despite representing a minor component of the plastisphere community. CONCLUSION Our study addresses a critical gap in understanding the functioning of the marine plastisphere, contributing new insights into the function and ecology of an emerging and important microbial niche. Our comprehensive multi-omics and comparative metaproteomics experimental design enhances biological interpretations to provide new perspectives on microorganisms of potential biotechnological significance beyond biodegradation and to improve the assessment of the risks associated with microorganisms colonizing marine plastic pollution. Video Abstract.
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Affiliation(s)
- Lauren F Messer
- Division of Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, FK9 4LA, Scotland
| | - Charlotte E Lee
- Division of Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, FK9 4LA, Scotland
| | - Ruddy Wattiez
- Proteomics and Microbiology Department, University of Mons, Mons, 7000, Belgium
| | - Sabine Matallana-Surget
- Division of Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, FK9 4LA, Scotland.
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83
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Reinert T, Houzé P, Francois YN, Gahoual R. Enhancing affinity purification of monoclonal antibodies from human serum for subsequent CZE-MS analysis. J Chromatogr B Analyt Technol Biomed Life Sci 2024; 1234:123974. [PMID: 38271747 DOI: 10.1016/j.jchromb.2023.123974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/14/2023] [Accepted: 12/16/2023] [Indexed: 01/27/2024]
Abstract
Due to the separation technique employed, capillary electrophoresis coupled to mass spectrometry (CE-MS) analysis performances are significantly influenced by the chemical composition and the complexity of the sample. In various applications, that impact has prevented the use of CE-MS for the characterization and quantification of proteins in biological samples. Here we present the development and evaluation and a sample preparation procedure, based on affinity purification, for the specific extraction of the monoclonal antibody (mAbs) infliximab from human serum in order to perform subsequent proteolytic digestion and CE-MS/MS analysis. Three distinctive sample preparation strategies were envisaged. In each case, the different steps composing the protocol were thoroughly optimized and evaluated in order to provide a sample preparation addressing the important complexity of serums samples while providing an optimal compatibility with CE-MS/MS analysis. The different sample preparation strategies were assessed concerning the possibility to achieve an appropriate absolute quantification of the mAbs using CE-MS/MS for samples mimicking patient serum samples. Also, the possibility to perform the characterization of several types of post-translational modifications (PTMs) was evaluated. The sample preparation protocols allowed the quantification of the mAbs in serums samples for concentration as low as 0.2 µg·mL-1 (2.03 nM) using CE-MS/MS analysis, also the possibility to characterize and estimate the modification level of PTMs hotspots in a consistent manner. Results allowed to attribute the effect on the electrophoretic separation of the different steps composing sample preparation. Finally, they demonstrated that sample preparation for CE-MS/MS analysis could benefit greatly for the extended applicability of this type of analysis for complex biological matrices.
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Affiliation(s)
- Tessa Reinert
- Laboratoire de Spectrométrie de Masse des Interactions et des Systèmes (LSMIS) UMR 7140 (Unistra-CNRS), Université de Strasbourg, France; Université Paris Cité, Unité de Technologies Chimiques et Biologiques pour la Santé (UTCBS), CNRS, Inserm, Faculté de sciences pharmaceutiques et biologiques, Paris, France.
| | - Pascal Houzé
- Université Paris Cité, Unité de Technologies Chimiques et Biologiques pour la Santé (UTCBS), CNRS, Inserm, Faculté de sciences pharmaceutiques et biologiques, Paris, France; Laboratoire de Toxicologie Biologique, Hôpital Lariboisière, Assistance Publique - Hôpitaux de Paris (AP-HP), Paris, France
| | - Yannis-Nicolas Francois
- Laboratoire de Spectrométrie de Masse des Interactions et des Systèmes (LSMIS) UMR 7140 (Unistra-CNRS), Université de Strasbourg, France
| | - Rabah Gahoual
- Université Paris Cité, Unité de Technologies Chimiques et Biologiques pour la Santé (UTCBS), CNRS, Inserm, Faculté de sciences pharmaceutiques et biologiques, Paris, France
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Watral J, Formanowicz D, Perek B, Kostka-Jeziorny K, Podkowińska A, Tykarski A, Luczak M. Comprehensive proteomics of monocytes indicates oxidative imbalance functionally related to inflammatory response in chronic kidney disease-related atherosclerosis. Front Mol Biosci 2024; 11:1229648. [PMID: 38389898 PMCID: PMC10882078 DOI: 10.3389/fmolb.2024.1229648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 01/16/2024] [Indexed: 02/24/2024] Open
Abstract
Atherosclerosis-induced cardiovascular events are the leading cause of mortality in chronic kidney disease (CKD) patients. Monocytes are involved in the formation of atherosclerotic plaques and mediate in the overproduction of ROS, promoting inflammation and oxidative stress. However, the relationship between monocytes, inflammation, and oxidative status in CKD-associated atherosclerosis has not been thoroughly investigated. Monocytes and plasma derived from two groups of CKD patients with varying degrees of atherosclerosis and two groups of patients with cardiovascular disease (CVD) and non-CKD atherosclerosis were analyzed. This study was designed to perform a comprehensive proteomic analysis of monocytes in combination with functional bioinformatics. In addition, a targeted investigation of oxidative stress- and inflammatory-related factors to explore CKD-associated atherosclerosis was applied. Dysregulation of proteins involved in lipid oxidation, cell survival, ROS synthesis and metabolism, and inflammatory responses has been revealed. The characteristic disturbances in the monocyte proteome changed with the progression of CKD. A closer examination of oxidative stress's triggers, mediators, and effects on protein and lipid levels showed alterations in the oxidative imbalance between CKD and CVD. CKD monocytes demonstrated a significant increase of oxidized glutathione without changing the level of its reduced form. Evaluation of enzymatic antioxidants, sources of ROS, and modifications caused by ROS also revealed significant alterations between the study groups. In CKD, inflammation and oxidative imbalance correlated and drove each other. However, in CVD, oxidative stress-related factors were associated with each other but not to inflammatory proteins. Moreover, lipid abnormalities were more specific to classical CVD and unrelated to CKD. Such a comprehensive characterization of monocytes and oxidative stress in CKD and CVD patients has never been presented so far. Obtained results support the involvement of distinct mechanisms underlying the acceleration of atherosclerotic and non-atherosclerotic CKD.
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Affiliation(s)
- Joanna Watral
- Department of Biomedical Proteomics, Institute of Bioorganic Chemistry Polish Academy of Sciences, Poznan, Poland
| | - Dorota Formanowicz
- Chair and Department of Medical Chemistry and Laboratory Medicine, Poznan University of Medical Sciences, Poznan, Poland
| | - Bartłomiej Perek
- Department of Cardiac Surgery and Transplantology, Poznan University of Medical Sciences, Poznan, Poland
| | - Katarzyna Kostka-Jeziorny
- Department of Hypertensiology, Angiology and Internal Medicine, Poznan University of Medical Sciences, Poznan, Poland
| | | | - Andrzej Tykarski
- Department of Hypertensiology, Angiology and Internal Medicine, Poznan University of Medical Sciences, Poznan, Poland
| | - Magdalena Luczak
- Department of Biomedical Proteomics, Institute of Bioorganic Chemistry Polish Academy of Sciences, Poznan, Poland
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85
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Wenk D, Khan S, Ignatchenko V, May T, Bernardini MQ, Kislinger T. Targeted Mass Spectrometry of Longitudinal Patient Sera Reveals LTBP1 as a Potential Surveillance Biomarker for High-Grade Serous Ovarian Carcinoma. J Proteome Res 2024; 23:749-759. [PMID: 38266179 PMCID: PMC10845141 DOI: 10.1021/acs.jproteome.3c00629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 12/06/2023] [Accepted: 12/10/2023] [Indexed: 01/26/2024]
Abstract
High-grade serous ovarian carcinoma (HGSC) is the most prevalent subtype of epithelial ovarian cancer. The combination of a high rate of recurrence and novel therapies in HGSC necessitates an accurate assessment of the disease. Currently, HGSC response to treatment and recurrence are monitored via immunoassay of serum levels of the glycoprotein CA125. CA125 levels predictably rise at HGSC recurrence; however, it is likely that the disease is progressing even before it is detectable through CA125. This may explain why treating solely based on CA125 increase has not been associated with improved outcomes. Thus, additional biomarkers that monitor HGSC progression and cancer recurrence are needed. For this purpose, we developed a scheduled parallel reaction monitoring mass spectrometry (PRM-MS) assay for the quantification of four previously identified HGSC-derived glycopeptides (from proteins FGL2, LGALS3BP, LTBP1, and TIMP1). We applied the assay to quantify their longitudinal expression profiles in 212 serum samples taken from 34 HGSC patients during disease progression. Analyses revealed that LTBP1 best-mirrored tumor load, dropping as a result of cancer treatment in 31 out of 34 patients and rising at HGSC recurrence in 28 patients. Additionally, LTBP1 rose earlier during remission than CA125 in 11 out of 25 platinum-sensitive patients with an average lead time of 116.4 days, making LTBP1 a promising candidate for monitoring of HGSC recurrence.
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Affiliation(s)
- Deborah Wenk
- Princess
Margaret Cancer Centre, University Health
Network, 101 College Street, Toronto M5G 1L7, Ontario, Canada
| | - Shahbaz Khan
- Princess
Margaret Cancer Centre, University Health
Network, 101 College Street, Toronto M5G 1L7, Ontario, Canada
| | - Vladimir Ignatchenko
- Princess
Margaret Cancer Centre, University Health
Network, 101 College Street, Toronto M5G 1L7, Ontario, Canada
| | - Taymaa May
- Division
of Gynecologic Oncology, Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, Toronto M5G 2C4, Ontario, Canada
- Department
of Obstetrics and Gynaecology, University
of Toronto, 123 Edward
Street, Toronto M5G 1E2, Ontario, Canada
| | - Marcus Q. Bernardini
- Division
of Gynecologic Oncology, Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, Toronto M5G 2C4, Ontario, Canada
- Department
of Obstetrics and Gynaecology, University
of Toronto, 123 Edward
Street, Toronto M5G 1E2, Ontario, Canada
| | - Thomas Kislinger
- Princess
Margaret Cancer Centre, University Health
Network, 101 College Street, Toronto M5G 1L7, Ontario, Canada
- Department
of Medical Biophysics, University of Toronto, 101 College Street, Toronto M5G 1L7, Ontario, Canada
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Gentry EC, Collins SL, Panitchpakdi M, Belda-Ferre P, Stewart AK, Carrillo Terrazas M, Lu HH, Zuffa S, Yan T, Avila-Pacheco J, Plichta DR, Aron AT, Wang M, Jarmusch AK, Hao F, Syrkin-Nikolau M, Vlamakis H, Ananthakrishnan AN, Boland BS, Hemperly A, Vande Casteele N, Gonzalez FJ, Clish CB, Xavier RJ, Chu H, Baker ES, Patterson AD, Knight R, Siegel D, Dorrestein PC. Reverse metabolomics for the discovery of chemical structures from humans. Nature 2024; 626:419-426. [PMID: 38052229 PMCID: PMC10849969 DOI: 10.1038/s41586-023-06906-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 11/28/2023] [Indexed: 12/07/2023]
Abstract
Determining the structure and phenotypic context of molecules detected in untargeted metabolomics experiments remains challenging. Here we present reverse metabolomics as a discovery strategy, whereby tandem mass spectrometry spectra acquired from newly synthesized compounds are searched for in public metabolomics datasets to uncover phenotypic associations. To demonstrate the concept, we broadly synthesized and explored multiple classes of metabolites in humans, including N-acyl amides, fatty acid esters of hydroxy fatty acids, bile acid esters and conjugated bile acids. Using repository-scale analysis1,2, we discovered that some conjugated bile acids are associated with inflammatory bowel disease (IBD). Validation using four distinct human IBD cohorts showed that cholic acids conjugated to Glu, Ile/Leu, Phe, Thr, Trp or Tyr are increased in Crohn's disease. Several of these compounds and related structures affected pathways associated with IBD, such as interferon-γ production in CD4+ T cells3 and agonism of the pregnane X receptor4. Culture of bacteria belonging to the Bifidobacterium, Clostridium and Enterococcus genera produced these bile amidates. Because searching repositories with tandem mass spectrometry spectra has only recently become possible, this reverse metabolomics approach can now be used as a general strategy to discover other molecules from human and animal ecosystems.
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Affiliation(s)
- Emily C Gentry
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
- Department of Chemistry, Virginia Tech, Blacksburg, VA, USA
| | - Stephanie L Collins
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA
| | - Morgan Panitchpakdi
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, Jacobs School of Engineering, University of California, San Diego, San Diego, CA, USA
| | - Allison K Stewart
- Department of Chemistry, North Carolina State University, Raleigh, NC, USA
| | | | - Hsueh-Han Lu
- Department of Pathology, University of California, San Diego, La Jolla, CA, USA
| | - Simone Zuffa
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Tingting Yan
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Allegra T Aron
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Mingxun Wang
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Alan K Jarmusch
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
- Immunity, Inflammation, and Disease Laboratory, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Fuhua Hao
- Center for Molecular Toxicology and Carcinogenesis, Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA, USA
| | - Mashette Syrkin-Nikolau
- Division of Gastroenterology, Department of Pediatrics, Rady Children's Hospital University of California San Diego, La Jolla, CA, USA
| | - Hera Vlamakis
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Brigid S Boland
- Division of Gastroenterology, University of California, San Diego, La Jolla, CA, USA
| | - Amy Hemperly
- Division of Gastroenterology, Department of Pediatrics, Rady Children's Hospital University of California San Diego, La Jolla, CA, USA
| | - Niels Vande Casteele
- Division of Gastroenterology, University of California, San Diego, La Jolla, CA, USA
| | - Frank J Gonzalez
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ramnik J Xavier
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA
- Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Hiutung Chu
- Department of Pathology, University of California, San Diego, La Jolla, CA, USA
- CU-UCSD, Center for Mucosal Immunology, Allergy and Vaccine Development, University of California, San Diego, La Jolla, California, USA
| | - Erin S Baker
- Department of Chemistry, North Carolina State University, Raleigh, NC, USA
- Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Andrew D Patterson
- Center for Molecular Toxicology and Carcinogenesis, Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA, USA
| | - Rob Knight
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, Jacobs School of Engineering, University of California, San Diego, San Diego, CA, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, San Diego, CA, USA
- Department of Bioengineering, University of California, San Diego, San Diego, California, USA
| | - Dionicio Siegel
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Pieter C Dorrestein
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA.
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA.
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87
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Lou R, Shui W. Acquisition and Analysis of DIA-Based Proteomic Data: A Comprehensive Survey in 2023. Mol Cell Proteomics 2024; 23:100712. [PMID: 38182042 PMCID: PMC10847697 DOI: 10.1016/j.mcpro.2024.100712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/27/2023] [Accepted: 01/02/2024] [Indexed: 01/07/2024] Open
Abstract
Data-independent acquisition (DIA) mass spectrometry (MS) has emerged as a powerful technology for high-throughput, accurate, and reproducible quantitative proteomics. This review provides a comprehensive overview of recent advances in both the experimental and computational methods for DIA proteomics, from data acquisition schemes to analysis strategies and software tools. DIA acquisition schemes are categorized based on the design of precursor isolation windows, highlighting wide-window, overlapping-window, narrow-window, scanning quadrupole-based, and parallel accumulation-serial fragmentation-enhanced DIA methods. For DIA data analysis, major strategies are classified into spectrum reconstruction, sequence-based search, library-based search, de novo sequencing, and sequencing-independent approaches. A wide array of software tools implementing these strategies are reviewed, with details on their overall workflows and scoring approaches at different steps. The generation and optimization of spectral libraries, which are critical resources for DIA analysis, are also discussed. Publicly available benchmark datasets covering global proteomics and phosphoproteomics are summarized to facilitate performance evaluation of various software tools and analysis workflows. Continued advances and synergistic developments of versatile components in DIA workflows are expected to further enhance the power of DIA-based proteomics.
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Affiliation(s)
- Ronghui Lou
- iHuman Institute, ShanghaiTech University, Shanghai, China; School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
| | - Wenqing Shui
- iHuman Institute, ShanghaiTech University, Shanghai, China; School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
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88
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Roach J, Mital R, Haffner JJ, Colwell N, Coats R, Palacios HM, Liu Z, Godinho JLP, Ness M, Peramuna T, McCall LI. Microbiome metabolite quantification methods enabling insights into human health and disease. Methods 2024; 222:81-99. [PMID: 38185226 DOI: 10.1016/j.ymeth.2023.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 10/27/2023] [Accepted: 12/13/2023] [Indexed: 01/09/2024] Open
Abstract
Many of the health-associated impacts of the microbiome are mediated by its chemical activity, producing and modifying small molecules (metabolites). Thus, microbiome metabolite quantification has a central role in efforts to elucidate and measure microbiome function. In this review, we cover general considerations when designing experiments to quantify microbiome metabolites, including sample preparation, data acquisition and data processing, since these are critical to downstream data quality. We then discuss data analysis and experimental steps to demonstrate that a given metabolite feature is of microbial origin. We further discuss techniques used to quantify common microbial metabolites, including short-chain fatty acids (SCFA), secondary bile acids (BAs), tryptophan derivatives, N-acyl amides and trimethylamine N-oxide (TMAO). Lastly, we conclude with challenges and future directions for the field.
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Affiliation(s)
- Jarrod Roach
- Department of Chemistry and Biochemistry, University of Oklahoma
| | - Rohit Mital
- Department of Biology, University of Oklahoma
| | - Jacob J Haffner
- Department of Anthropology, University of Oklahoma; Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma
| | - Nathan Colwell
- Department of Chemistry and Biochemistry, University of Oklahoma
| | - Randy Coats
- Department of Chemistry and Biochemistry, University of Oklahoma
| | - Horvey M Palacios
- Department of Anthropology, University of Oklahoma; Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma
| | - Zongyuan Liu
- Department of Chemistry and Biochemistry, University of Oklahoma
| | | | - Monica Ness
- Department of Chemistry and Biochemistry, University of Oklahoma
| | - Thilini Peramuna
- Department of Chemistry and Biochemistry, University of Oklahoma
| | - Laura-Isobel McCall
- Department of Chemistry and Biochemistry, University of Oklahoma; Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma; Department of Chemistry and Biochemistry, San Diego State University.
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89
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Sakson R, Beedgen L, Bernhard P, Alp KM, Lübbehusen N, Röth R, Niesler B, Luzarowski M, Shevchuk O, Mayer MP, Thiel C, Ruppert T. Targeted Proteomics Reveals Quantitative Differences in Low-Abundance Glycosyltransferases of Patients with Congenital Disorders of Glycosylation. Int J Mol Sci 2024; 25:1191. [PMID: 38256263 PMCID: PMC10816918 DOI: 10.3390/ijms25021191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 01/24/2024] Open
Abstract
Protein glycosylation is an essential post-translational modification in all domains of life. Its impairment in humans can result in severe diseases named congenital disorders of glycosylation (CDGs). Most of the glycosyltransferases (GTs) responsible for proper glycosylation are polytopic membrane proteins that represent challenging targets in proteomics. We established a multiple reaction monitoring (MRM) assay to comprehensively quantify GTs involved in the processes of N-glycosylation and O- and C-mannosylation in the endoplasmic reticulum. High robustness was achieved by using an enriched membrane protein fraction of isotopically labeled HEK 293T cells as an internal protein standard. The analysis of primary skin fibroblasts from eight CDG type I patients with impaired ALG1, ALG2, and ALG11 genes, respectively, revealed a substantial reduction in the corresponding protein levels. The abundance of the other GTs, however, remained unchanged at the transcript and protein levels, indicating that there is no fail-safe mechanism for the early steps of glycosylation in the endoplasmic reticulum. The established MRM assay was shared with the scientific community via the commonly used open source Skyline software environment, including Skyline Batch for automated data analysis. We demonstrate that another research group could easily reproduce all analysis steps, even while using different LC-MS hardware.
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Affiliation(s)
- Roman Sakson
- Zentrum für Molekulare Biologie der Universität Heidelberg (ZMBH), DKFZ-ZMBH Alliance, 69120 Heidelberg, Germany
- Heidelberg Biosciences International Graduate School (HBIGS), Heidelberg University, 69120 Heidelberg, Germany
| | - Lars Beedgen
- Center for Child and Adolescent Medicine, Department Pediatrics I, Heidelberg University, 69120 Heidelberg, Germany
| | - Patrick Bernhard
- Institute for Surgical Pathology, Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany
| | - K. Merve Alp
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany
| | - Nicole Lübbehusen
- Zentrum für Molekulare Biologie der Universität Heidelberg (ZMBH), DKFZ-ZMBH Alliance, 69120 Heidelberg, Germany
| | - Ralph Röth
- nCounter Core Facility, Institute of Human Genetics, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Beate Niesler
- nCounter Core Facility, Institute of Human Genetics, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Interdisciplinary Center for Neurosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Marcin Luzarowski
- Zentrum für Molekulare Biologie der Universität Heidelberg (ZMBH), DKFZ-ZMBH Alliance, 69120 Heidelberg, Germany
| | - Olga Shevchuk
- Department of Immunodynamics, Institute of Experimental Immunology and Imaging, University Hospital Essen, 45147 Essen, Germany
| | - Matthias P. Mayer
- Zentrum für Molekulare Biologie der Universität Heidelberg (ZMBH), DKFZ-ZMBH Alliance, 69120 Heidelberg, Germany
| | - Christian Thiel
- Center for Child and Adolescent Medicine, Department Pediatrics I, Heidelberg University, 69120 Heidelberg, Germany
| | - Thomas Ruppert
- Zentrum für Molekulare Biologie der Universität Heidelberg (ZMBH), DKFZ-ZMBH Alliance, 69120 Heidelberg, Germany
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90
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Ferrada E, Wiedmer T, Wang WA, Frommelt F, Steurer B, Klimek C, Lindinger S, Osthushenrich T, Garofoli A, Brocchetti S, Bradberry S, Huang J, MacNamara A, Scarabottolo L, Ecker GF, Malarstig A, Superti-Furga G. Experimental and Computational Analysis of Newly Identified Pathogenic Mutations in the Creatine Transporter SLC6A8. J Mol Biol 2024; 436:168383. [PMID: 38070861 DOI: 10.1016/j.jmb.2023.168383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/26/2023] [Accepted: 12/01/2023] [Indexed: 12/24/2023]
Abstract
Creatine is an essential metabolite for the storage and rapid supply of energy in muscle and nerve cells. In humans, impaired metabolism, transport, and distribution of creatine throughout tissues can cause varying forms of mental disability, also known as creatine deficiency syndrome (CDS). So far, 80 mutations in the creatine transporter (SLC6A8) have been associated to CDS. To better understand the effect of human genetic variants on the physiology of SLC6A8 and their possible impact on CDS, we studied 30 missense variants including 15 variants of unknown significance, two of which are reported here for the first time. We expressed these variants in HEK293 cells and explored their subcellular localization and transport activity. We also applied computational methods to predict variant effect and estimate site-specific changes in thermodynamic stability. To explore variants that might have a differential effect on the transporter's conformers along the transport cycle, we constructed homology models of the inward facing, and outward facing conformations. In addition, we used mass-spectrometry to study proteins that interact with wild type SLC6A8 and five selected variants in HEK293 cells. In silico models of the protein complexes revealed how two variants impact the interaction interface of SLC6A8 with other proteins and how pathogenic variants lead to an enrichment of ER protein partners. Overall, our integrated analysis disambiguates the pathogenicity of 15 variants of unknown significance revealing diverse mechanisms of pathogenicity, including two previously unreported variants obtained from patients suffering from the creatine deficiency syndrome.
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Affiliation(s)
- Evandro Ferrada
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
| | - Tabea Wiedmer
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Wen-An Wang
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Fabian Frommelt
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Barbara Steurer
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Christoph Klimek
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Sabrina Lindinger
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | | | - Andrea Garofoli
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | | | | | - Jiahui Huang
- Department of Pharmaceutical Sciences, University of Vienna, Vienna, Austria
| | | | | | - Gerhard F Ecker
- Department of Pharmaceutical Sciences, University of Vienna, Vienna, Austria
| | - Anders Malarstig
- Pfizer Worldwide Research, Development and Medical, Stockholm, Sweden
| | - Giulio Superti-Furga
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria; Center for Physiology and Pharmacology, Medical University of Vienna, Vienna, Austria.
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91
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Meyer M, Parpoulas C, Barthélémy T, Becker JP, Charoentong P, Lyu Y, Börsig S, Bulbuc N, Tessmer C, Weinacht L, Ibberson D, Schmidt P, Pipkorn R, Eichmüller SB, Steinberger P, Lindner K, Poschke I, Platten M, Fröhling S, Riemer AB, Hassel JC, Roberti MP, Jäger D, Zörnig I, Momburg F. MediMer: a versatile do-it-yourself peptide-receptive MHC class I multimer platform for tumor neoantigen-specific T cell detection. Front Immunol 2024; 14:1294565. [PMID: 38239352 PMCID: PMC10794645 DOI: 10.3389/fimmu.2023.1294565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 11/28/2023] [Indexed: 01/22/2024] Open
Abstract
Peptide-loaded MHC class I (pMHC-I) multimers have revolutionized our capabilities to monitor disease-associated T cell responses with high sensitivity and specificity. To improve the discovery of T cell receptors (TCR) targeting neoantigens of individual tumor patients with recombinant MHC molecules, we developed a peptide-loadable MHC class I platform termed MediMer. MediMers are based on soluble disulfide-stabilized β2-microglobulin/heavy chain ectodomain single-chain dimers (dsSCD) that can be easily produced in large quantities in eukaryotic cells and tailored to individual patients' HLA allotypes with only little hands-on time. Upon transient expression in CHO-S cells together with ER-targeted BirA biotin ligase, biotinylated dsSCD are purified from the cell supernatant and are ready to use. We show that CHO-produced dsSCD are free of endogenous peptide ligands. Empty dsSCD from more than 30 different HLA-A,B,C allotypes, that were produced and validated so far, can be loaded with synthetic peptides matching the known binding criteria of the respective allotypes, and stored at low temperature without loss of binding activity. We demonstrate the usability of peptide-loaded dsSCD multimers for the detection of human antigen-specific T cells with comparable sensitivities as multimers generated with peptide-tethered β2m-HLA heavy chain single-chain trimers (SCT) and wild-type peptide-MHC-I complexes prior formed in small-scale refolding reactions. Using allotype-specific, fluorophore-labeled competitor peptides, we present a novel dsSCD-based peptide binding assay capable of interrogating large libraries of in silico predicted neoepitope peptides by flow cytometry in a high-throughput and rapid format. We discovered rare T cell populations with specificity for tumor neoepitopes and epitopes from shared tumor-associated antigens in peripheral blood of a melanoma patient including a so far unreported HLA-C*08:02-restricted NY-ESO-1-specific CD8+ T cell population. Two representative TCR of this T cell population, which could be of potential value for a broader spectrum of patients, were identified by dsSCD-guided single-cell sequencing and were validated by cognate pMHC-I multimer staining and functional responses to autologous peptide-pulsed antigen presenting cells. By deploying the technically accessible dsSCD MHC-I MediMer platform, we hope to significantly improve success rates for the discovery of personalized neoepitope-specific TCR in the future by being able to also cover rare HLA allotypes.
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Affiliation(s)
- Marten Meyer
- Antigen Presentation and T/NK Cell Activation Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Clinical Cooperation Unit Applied Tumor Immunity, DKFZ, Heidelberg, Germany
- Department of Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg University Hospital, Heidelberg, Germany
| | - Christina Parpoulas
- Antigen Presentation and T/NK Cell Activation Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Titouan Barthélémy
- Antigen Presentation and T/NK Cell Activation Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jonas P. Becker
- Division of Immunotherapy and Immunoprevention, DKFZ, Heidelberg, Germany
- German Center for Infection Research (DZIF) Partner Site Heidelberg, Heidelberg, Germany
| | - Pornpimol Charoentong
- Clinical Cooperation Unit Applied Tumor Immunity, DKFZ, Heidelberg, Germany
- Department of Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg University Hospital, Heidelberg, Germany
- Center for Quantitative Analysis of Molecular and Cellular Biosystems (Bioquant), Heidelberg University, Heidelberg, Germany
| | - Yanhong Lyu
- Clinical Cooperation Unit Applied Tumor Immunity, DKFZ, Heidelberg, Germany
| | - Selina Börsig
- Antigen Presentation and T/NK Cell Activation Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg University Hospital, Heidelberg, Germany
| | - Nadja Bulbuc
- Antigen Presentation and T/NK Cell Activation Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Claudia Tessmer
- Antigen Presentation and T/NK Cell Activation Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Clinical Cooperation Unit Applied Tumor Immunity, DKFZ, Heidelberg, Germany
| | - Lisa Weinacht
- Antigen Presentation and T/NK Cell Activation Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - David Ibberson
- Deep Sequencing Core Facility, Heidelberg University, Heidelberg, Germany
| | - Patrick Schmidt
- Department of Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg University Hospital, Heidelberg, Germany
- GMP and T Cell Therapy, DKFZ, Heidelberg, Germany
| | | | | | - Peter Steinberger
- Division of Immune Receptors and T Cell Activation, Center for Pathophysiology, Infectiology, Medical University of Vienna, Vienna, Austria
| | - Katharina Lindner
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, DKFZ, Heidelberg, Germany
- Immune Monitoring Unit, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Isabel Poschke
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, DKFZ, Heidelberg, Germany
- Immune Monitoring Unit, NCT Heidelberg and DKFZ, Heidelberg, Germany
| | - Michael Platten
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, DKFZ, Heidelberg, Germany
- Immune Monitoring Unit, NCT Heidelberg and DKFZ, Heidelberg, Germany
- German Cancer Consortium (DKTK), DKFZ, Core Center, Heidelberg, Germany
- Department of Neurology, Medical Faculty Mannheim, Mannheim Center for Translational Neuroscience (MCTN), Heidelberg University, Mannheim, Germany
- DKFZ Hector Cancer Institute at the University Medical Center, Mannheim, Germany
- Helmholtz Institute for Translational Oncology, Mainz (HI-TRON Mainz), Mainz, Germany
| | - Stefan Fröhling
- German Cancer Consortium (DKTK), DKFZ, Core Center, Heidelberg, Germany
- Division of Translational Medical Oncology, NCT Heidelberg and DKFZ, Heidelberg, Germany
- Institute of Human Genetics, Heidelberg University, Heidelberg, Germany
| | - Angelika B. Riemer
- Division of Immunotherapy and Immunoprevention, DKFZ, Heidelberg, Germany
- German Center for Infection Research (DZIF) Partner Site Heidelberg, Heidelberg, Germany
| | - Jessica C. Hassel
- Section of DermatoOncology, Department of Dermatology and NCT, Heidelberg University Hospital, Heidelberg, Germany
| | - Maria Paula Roberti
- Clinical Cooperation Unit Applied Tumor Immunity, DKFZ, Heidelberg, Germany
- Department of Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg University Hospital, Heidelberg, Germany
| | - Dirk Jäger
- Clinical Cooperation Unit Applied Tumor Immunity, DKFZ, Heidelberg, Germany
- Department of Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg University Hospital, Heidelberg, Germany
| | - Inka Zörnig
- Clinical Cooperation Unit Applied Tumor Immunity, DKFZ, Heidelberg, Germany
- Department of Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg University Hospital, Heidelberg, Germany
| | - Frank Momburg
- Antigen Presentation and T/NK Cell Activation Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg University Hospital, Heidelberg, Germany
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92
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Devanaboyina SC, Li P, LaGory EL, Poon-Andersen C, Cook KD, Soto M, Wang Z, Dang K, Uyeda C, Case RB, Thomas VA, Primack R, Ponce M, Di M, Ouyang B, Kaner J, Lam SK, Mostafavi M. Rapid depletion of "catch-and-release" anti-ASGR1 antibody in vivo. MAbs 2024; 16:2383013. [PMID: 39051531 PMCID: PMC11275528 DOI: 10.1080/19420862.2024.2383013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 07/16/2024] [Accepted: 07/17/2024] [Indexed: 07/27/2024] Open
Abstract
Targeting antigens with antibodies exhibiting pH/Ca2+-dependent binding against an antigen is an attractive strategy to mitigate target-mediated disposition and antigen buffering. Studies have reported improved serum exposure of antibodies exhibiting pH/Ca2+-binding against membrane-bound receptors. Asialoglycoprotein receptor 1 (ASGR1) is a membrane-bound receptor primarily localized in hepatocytes. With a high expression level of approximately one million receptors per cell, high turnover, and rapid recycling, targeting this receptor with a conventional antibody is a challenge. In this study, we identified an antibody exhibiting pH/Ca2+-dependent binding to ASGR1 and generated antibody variants with increased binding to neonatal crystallizable fragment receptor (FcRn). Serum exposures of the generated anti-ASGR1 antibodies were analyzed in transgenic mice expressing human FcRn. Contrary to published reports of increased serum exposure of pH/Ca2+-dependent antibodies, the pH/Ca2+-dependent anti-ASGR1 antibody had rapid serum clearance in comparison to a conventional anti-ASGR1 antibody. We conducted sub-cellular trafficking studies of the anti-ASGR1 antibodies along with receptor quantification analysis for mechanistic understanding of the rapid serum clearance of pH/Ca2+-dependent anti-ASGR1 antibody. The findings from our study provide valuable insights in identifying the antigens, especially membrane bound, that may benefit from targeting with pH/Ca2+-dependent antibodies to obtain increased serum exposure.
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Affiliation(s)
- Siva Charan Devanaboyina
- Department of Pharmacokinetics and Drug Metabolism, Amgen Research, Amgen Inc, South San Francisco, CA, USA
| | - Peng Li
- Department of Biologics, Amgen Research, Amgen Inc, South San Francisco, CA, USA
| | - Edward L. LaGory
- Department of Pharmacokinetics and Drug Metabolism, Amgen Research, Amgen Inc, South San Francisco, CA, USA
| | - Carrie Poon-Andersen
- Department of Pharmacokinetics and Drug Metabolism, Amgen Research, Amgen Inc, South San Francisco, CA, USA
| | - Kevin D. Cook
- Department of Pharmacokinetics and Drug Metabolism, Amgen Research, Amgen Inc, South San Francisco, CA, USA
| | - Marcus Soto
- Department of Pharmacokinetics and Drug Metabolism, Amgen Research, Amgen Inc, Thousand Oaks, CA, USA
| | - Zhe Wang
- Department of Pharmacokinetics and Drug Metabolism, Amgen Research, Amgen Inc, South San Francisco, CA, USA
| | - Khue Dang
- Department of Biologics, Amgen Research, Amgen Inc, South San Francisco, CA, USA
| | - Craig Uyeda
- Department of Pharmacokinetics and Drug Metabolism, Amgen Research, Amgen Inc, South San Francisco, CA, USA
| | - Ryan B. Case
- Department of Lead Discovery and Characterization, Amgen Research, Amgen Inc, South San Francisco, CA, USA
| | - Veena A. Thomas
- Department of Pharmacokinetics and Drug Metabolism, Amgen Research, Amgen Inc, South San Francisco, CA, USA
| | - Ronya Primack
- Department of Pharmacokinetics and Drug Metabolism, Amgen Research, Amgen Inc, Thousand Oaks, CA, USA
| | - Manuel Ponce
- Department of Pharmacokinetics and Drug Metabolism, Amgen Research, Amgen Inc, Thousand Oaks, CA, USA
| | - Mei Di
- Department of Cardiometabolic disorders, Amgen Research, Amgen Inc, South San Francisco, CA, USA
| | - Brian Ouyang
- Department of Biologics, Amgen Research, Amgen Inc, South San Francisco, CA, USA
| | - Joelle Kaner
- Department of Biologics, Amgen Research, Amgen Inc, South San Francisco, CA, USA
| | - Sheung Kwan Lam
- Department of Biologics, Amgen Research, Amgen Inc, South San Francisco, CA, USA
| | - Mina Mostafavi
- Department of Biologics, Amgen Research, Amgen Inc, South San Francisco, CA, USA
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93
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Root L, Kültz D. Effects of pejus and pessimum zone salinity stress on gill proteome networks and energy homeostasis in Oreochromis mossambicus. Proteomics 2024; 24:e2300121. [PMID: 37475512 DOI: 10.1002/pmic.202300121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 07/08/2023] [Accepted: 07/10/2023] [Indexed: 07/22/2023]
Abstract
Salinity tolerance in fish involves a suite of physiological changes, but a cohesive theory leading to a mechanistic understanding at the organismal level is lacking. To examine the potential of adapting energy homeostasis theory in the context of salinity stress in teleost fish, Oreochromis mossambicus were acclimated to hypersalinity at multiple rates and durations to determine salinity ranges of tolerance and resistance. Over 3000 proteins were quantified simultaneously to analyze molecular phenotypes associated with hypersalinity. A species- and tissue-specific data-independent acquisition (DIA) assay library of MSMS spectra was created. Protein networks representing complex molecular phenotypes associated with salinity acclimation were generated. O. mossambicus has a wide "zone of resistance" from 75 g/kg salinity to 120 g/kg. Crossing into the zone of resistance resulted in marked phenotypic changes including blood osmolality over 400 mOsm/kg, reduced body condition, and cessation of feeding. Protein networks impacted by hypersalinity consist of electron transport chain (ETC) proteins and specific osmoregulatory proteins. Cytoskeletal, cell adhesion, and extracellular matrix proteins are enriched in networks that are sensitive to the critical salinity threshold. These network analyses identify specific proteome changes that are associated with distinct zones described by energy homeostasis theory and distinguish them from general hypersalinity-induced proteome changes.
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Affiliation(s)
- Larken Root
- Department of Animal Sciences, University of California Davis, Davis, California, USA
| | - Dietmar Kültz
- Department of Animal Sciences, University of California Davis, Davis, California, USA
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94
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Gabriel W, Picciani M, The M, Wilhelm M. Deep Learning-Assisted Analysis of Immunopeptidomics Data. Methods Mol Biol 2024; 2758:457-483. [PMID: 38549030 DOI: 10.1007/978-1-0716-3646-6_25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
Liquid chromatography-coupled mass spectrometry (LC-MS/MS) is the primary method to obtain direct evidence for the presentation of disease- or patient-specific human leukocyte antigen (HLA). However, compared to the analysis of tryptic peptides in proteomics, the analysis of HLA peptides still poses computational and statistical challenges. Recently, fragment ion intensity-based matching scores assessing the similarity between predicted and observed spectra were shown to substantially increase the number of confidently identified peptides, particularly in use cases where non-tryptic peptides are analyzed. In this chapter, we describe in detail three procedures on how to benefit from state-of-the-art deep learning models to analyze and validate single spectra, single measurements, and multiple measurements in mass spectrometry-based immunopeptidomics. For this, we explain how to use the Universal Spectrum Explorer (USE), online Oktoberfest, and offline Oktoberfest. For intensity-based scoring, Oktoberfest uses fragment ion intensity and retention time predictions from the deep learning framework Prosit, a deep neural network trained on a very large number of synthetic peptides and tandem mass spectra generated within the ProteomeTools project. The examples shown highlight how deep learning-assisted analysis can increase the number of identified HLA peptides, facilitate the discovery of confidently identified neo-epitopes, or provide assistance in the assessment of the presence of cryptic peptides, such as spliced peptides.
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Affiliation(s)
- Wassim Gabriel
- Computational Mass Spectrometry, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Mario Picciani
- Computational Mass Spectrometry, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Matthew The
- Chair of Proteomics and Bioanalytics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Mathias Wilhelm
- Computational Mass Spectrometry, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
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95
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Bichmann L, Gupta S, Röst H. Data-Independent Acquisition Peptidomics. Methods Mol Biol 2024; 2758:77-88. [PMID: 38549009 DOI: 10.1007/978-1-0716-3646-6_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
In recent years, data-independent acquisition (DIA) has emerged as a powerful analysis method in biological mass spectrometry (MS). Compared to the previously predominant data-dependent acquisition (DDA), it offers a way to achieve greater reproducibility, sensitivity, and dynamic range in MS measurements. To make DIA accessible to non-expert users, a multifunctional, automated high-throughput pipeline DIAproteomics was implemented in the computational workflow framework "Nextflow" ( https://nextflow.io ). This allows high-throughput processing of proteomics and peptidomics DIA datasets on diverse computing infrastructures. This chapter provides a short summary and usage protocol guide for the most important modes of operation of this pipeline regarding the analysis of peptidomics datasets using the command line. In brief, DIAproteomics is a wrapper around the OpenSwathWorkflow and relies on either existing or ad-hoc generated spectral libraries from matching DDA runs. The OpenSwathWorkflow extracts chromatograms from the DIA runs and performs chromatographic peak-picking. Further downstream of the pipeline, these peaks are scored, aligned, and statistically evaluated for qualitative and quantitative differences across conditions depending on the user's interest. DIAproteomics is open-source and available under a permissive license. We encourage the scientific community to use or modify the pipeline to meet their specific requirements.
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Affiliation(s)
- Leon Bichmann
- Department of Computer Science, Applied Bioinformatics, University of Tübingen, Tübingen, Germany
| | - Shubham Gupta
- Donnelly Center for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada
| | - Hannes Röst
- Donnelly Center for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada
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96
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Solovyeva EM, Utzinger S, Vissières A, Mitchelmore J, Ahrné E, Hermes E, Poetsch T, Ronco M, Bidinosti M, Merkl C, Serluca FC, Fessenden J, Naumann U, Voshol H, Meyer AS, Hoersch S. Integrative Proteogenomics for Differential Expression and Splicing Variation in a DM1 Mouse Model. Mol Cell Proteomics 2024; 23:100683. [PMID: 37993104 PMCID: PMC10770608 DOI: 10.1016/j.mcpro.2023.100683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 09/02/2023] [Accepted: 11/17/2023] [Indexed: 11/24/2023] Open
Abstract
Dysregulated mRNA splicing is involved in the pathogenesis of many diseases including cancer, neurodegenerative diseases, and muscular dystrophies such as myotonic dystrophy type 1 (DM1). Comprehensive assessment of dysregulated splicing on the transcriptome and proteome level has been methodologically challenging, and thus investigations have often been targeting only few genes. Here, we performed a large-scale coordinated transcriptomic and proteomic analysis to characterize a DM1 mouse model (HSALR) in comparison to wild type. Our integrative proteogenomics approach comprised gene- and splicing-level assessments for mRNAs and proteins. It recapitulated many known instances of aberrant mRNA splicing in DM1 and identified new ones. It enabled the design and targeting of splicing-specific peptides and confirmed the translation of known instances of aberrantly spliced disease-related genes (e.g., Atp2a1, Bin1, Ryr1), complemented by novel findings (Flnc and Ywhae). Comparative analysis of large-scale mRNA and protein expression data showed quantitative agreement of differentially expressed genes and splicing patterns between disease and wild type. We hence propose this work as a suitable blueprint for a robust and scalable integrative proteogenomic strategy geared toward advancing our understanding of splicing-based disorders. With such a strategy, splicing-based biomarker candidates emerge as an attractive and accessible option, as they can be efficiently asserted on the mRNA and protein level in coordinated fashion.
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Affiliation(s)
- Elizaveta M Solovyeva
- Research Informatics, Biomedical Research at Novartis, Basel, Switzerland; V.L. Talrose Institute for Energy Problems of Chemical Physics, N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Moscow, Russia.
| | - Stephan Utzinger
- Diseases of Aging and Regenerative Medicine, Biomedical Research at Novartis, Basel, Switzerland
| | | | - Joanna Mitchelmore
- Diseases of Aging and Regenerative Medicine, Biomedical Research at Novartis, Basel, Switzerland
| | - Erik Ahrné
- Discovery Sciences, Biomedical Research at Novartis, Basel, Switzerland
| | - Erwin Hermes
- Discovery Sciences, Biomedical Research at Novartis, Basel, Switzerland
| | - Tania Poetsch
- Discovery Sciences, Biomedical Research at Novartis, Basel, Switzerland
| | - Marie Ronco
- Diseases of Aging and Regenerative Medicine, Biomedical Research at Novartis, Basel, Switzerland
| | - Michael Bidinosti
- Diseases of Aging and Regenerative Medicine, Biomedical Research at Novartis, Basel, Switzerland
| | - Claudia Merkl
- Diseases of Aging and Regenerative Medicine, Biomedical Research at Novartis, Basel, Switzerland
| | - Fabrizio C Serluca
- Research Informatics, Biomedical Research at Novartis, Cambridge, Massachusetts, USA
| | - James Fessenden
- Neurodegenerative Diseases, Biomedical Research at Novartis, Cambridge, Massachusetts, USA
| | - Ulrike Naumann
- Discovery Sciences, Biomedical Research at Novartis, Basel, Switzerland
| | - Hans Voshol
- Discovery Sciences, Biomedical Research at Novartis, Basel, Switzerland
| | - Angelika S Meyer
- Diseases of Aging and Regenerative Medicine, Biomedical Research at Novartis, Basel, Switzerland
| | - Sebastian Hoersch
- Research Informatics, Biomedical Research at Novartis, Basel, Switzerland.
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97
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Dosey A, Ellis D, Boyoglu-Barnum S, Syeda H, Saunders M, Watson MJ, Kraft JC, Pham MN, Guttman M, Lee KK, Kanekiyo M, King NP. Combinatorial immune refocusing within the influenza hemagglutinin RBD improves cross-neutralizing antibody responses. Cell Rep 2023; 42:113553. [PMID: 38096052 PMCID: PMC10801708 DOI: 10.1016/j.celrep.2023.113553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 09/28/2023] [Accepted: 11/20/2023] [Indexed: 12/26/2023] Open
Abstract
The receptor-binding domain (RBD) of influenza virus hemagglutinin (HA) elicits potently neutralizing yet mostly strain-specific antibodies. Here, we evaluate the ability of several immunofocusing techniques to enhance the functional breadth of vaccine-elicited immune responses against the HA RBD. We present a series of "trihead" nanoparticle immunogens that display native-like closed trimeric RBDs from the HAs of several H1N1 influenza viruses. The series includes hyperglycosylated and hypervariable variants that incorporate natural and designed sequence diversity at key positions in the receptor-binding site periphery. Nanoparticle immunogens displaying triheads or hyperglycosylated triheads elicit higher hemagglutination inhibition (HAI) and neutralizing activity than the corresponding immunogens lacking either trimer-stabilizing mutations or hyperglycosylation. By contrast, mosaic nanoparticle display and antigen hypervariation do not significantly alter the magnitude or breadth of vaccine-elicited antibodies. Our results yield important insights into antibody responses against the RBD and the ability of several structure-based immunofocusing techniques to influence vaccine-elicited antibody responses.
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Affiliation(s)
- Annie Dosey
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA; Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Daniel Ellis
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA; Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Seyhan Boyoglu-Barnum
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Hubza Syeda
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Mason Saunders
- Department of Medicinal Chemistry, University of Washington, Seattle, WA 98195, USA
| | - Michael J Watson
- Department of Medicinal Chemistry, University of Washington, Seattle, WA 98195, USA
| | - John C Kraft
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA; Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Minh N Pham
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA; Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Miklos Guttman
- Department of Medicinal Chemistry, University of Washington, Seattle, WA 98195, USA
| | - Kelly K Lee
- Department of Medicinal Chemistry, University of Washington, Seattle, WA 98195, USA
| | - Masaru Kanekiyo
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Neil P King
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA; Institute for Protein Design, University of Washington, Seattle, WA 98195, USA.
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98
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Do K, Mehta S, Wagner R, Bhuming D, Rajczewski AT, Skubitz APN, Johnson JE, Griffin TJ, Jagtap PD. A novel clinical metaproteomics workflow enables bioinformatic analysis of host-microbe dynamics in disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.21.568121. [PMID: 38045370 PMCID: PMC10690215 DOI: 10.1101/2023.11.21.568121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Clinical metaproteomics has the potential to offer insights into the host-microbiome interactions underlying diseases. However, the field faces challenges in characterizing microbial proteins found in clinical samples, which are usually present at low abundance relative to the host proteins. As a solution, we have developed an integrated workflow coupling mass spectrometry-based analysis with customized bioinformatic identification, quantification and prioritization of microbial and host proteins, enabling targeted assay development to investigate host-microbe dynamics in disease. The bioinformatics tools are implemented in the Galaxy ecosystem, offering the development and dissemination of complex bioinformatic workflows. The modular workflow integrates MetaNovo (to generate a reduced protein database), SearchGUI/PeptideShaker and MaxQuant (to generate peptide-spectral matches (PSMs) and quantification), PepQuery2 (to verify the quality of PSMs), and Unipept and MSstatsTMT (for taxonomy and functional annotation). We have utilized this workflow in diverse clinical samples, from the characterization of nasopharyngeal swab samples to bronchoalveolar lavage fluid. Here, we demonstrate its effectiveness via analysis of residual fluid from cervical swabs. The complete workflow, including training data and documentation, is available via the Galaxy Training Network, empowering non-expert researchers to utilize these powerful tools in their clinical studies.
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99
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Kac PR, González-Ortiz F, Emeršič A, Dulewicz M, Koutarapu S, Turton M, An Y, Smirnov D, Kulczyńska-Przybik A, Varma V, Ashton NJ, Montoliu-Gaya L, Camporesi E, Winkel I, Paradowski B, Moghekar A, Troncoso JC, Brinkmalm G, Resnick SM, Mroczko B, Kvartsberg H, Kramberger MG, Hanrieder J, Čučnik S, Harrison P, Zetterberg H, Lewczuk P, Thambisetty M, Rot U, Galasko D, Blennow K, Karikari TK. Plasma p-tau212: antemortem diagnostic performance and prediction of autopsy verification of Alzheimer's disease neuropathology. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.11.23299806. [PMID: 38168323 PMCID: PMC10760276 DOI: 10.1101/2023.12.11.23299806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Blood phosphorylated tau (p-tau) biomarkers, including p-tau217, show high associations with Alzheimer's disease (AD) neuropathologic change and clinical stage. Certain plasma p-tau217 assays recognize tau forms phosphorylated additionally at threonine-212, but the contribution of p-tau212 alone to AD is unknown. We developed a blood-based immunoassay that is specific to p-tau212 without cross-reactivity to p-tau217. Thereafter, we examined the diagnostic utility of plasma p-tau212. In five cohorts (n=388 participants), plasma p-tau212 showed high performances for AD diagnosis and for the detection of both amyloid and tau pathology, including at autopsy as well as in memory clinic populations. The diagnostic accuracy and fold changes of plasma p-tau212 were similar to those for p-tau217 but higher than p-tau181 and p-tau231. Immunofluorescent staining of brain tissue slices showed prominent p-tau212 reactivity in neurofibrillary tangles that co-localized with p-tau217 and p-tau202/205. These findings support plasma p-tau212 as a novel peripherally accessible biomarker of AD pathophysiology.
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Affiliation(s)
- Przemysław R Kac
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
| | - Fernando González-Ortiz
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 431 80, Sweden
| | - Andreja Emeršič
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, 1000, Slovenia
- Faculty of Pharmacy, University of Ljubljana, Ljubljana, Slovenia
| | - Maciej Dulewicz
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
| | - Srinivas Koutarapu
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
| | | | - Yang An
- Brain Aging and Behavior Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, United States of America
| | - Denis Smirnov
- Department of Neurosciences, University of California, San Diego, CA 92161 United States of America
| | | | - Vijay Varma
- Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, United States of America
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
- Department of Old Age Psychiatry, King's College London, London SE5 8AF, United Kingdom
- Centre for Age-Related Medicine, Stavanger University Hospital, 4011 Stavanger, Norway
- South London & Maudsley NHS Foundation, NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia, SE5 8AF London, United Kingdom
| | - Laia Montoliu-Gaya
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
| | - Elena Camporesi
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
| | - Izabela Winkel
- Dementia Disorders Center, Medical University of Wrocław, 59-330 Scinawa, Poland
| | - Bogusław Paradowski
- Department of Neurology, Medical University of Wrocław, 50-556 Wroclaw, Poland
| | - Abhay Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States of America
| | - Juan C Troncoso
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States of America
- Department of Pathology, John Hopkins University School of Medicine, Baltimore, MD 21287, United States of America
| | - Gunnar Brinkmalm
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, United States of America
| | - Barbara Mroczko
- Department of Neurodegeneration Diagnostics, Medical University of Białystok, Białystok 15-269, Poland
| | - Hlin Kvartsberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 431 80, Sweden
| | - Milica Gregorič Kramberger
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, 1000, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, 141 52 Huddinge, Sweden
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1E 6BT, United Kingdom
| | - Saša Čučnik
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, 1000, Slovenia
- Faculty of Pharmacy, University of Ljubljana, Ljubljana, Slovenia
- Department of Rheumatology, University Medical Center Ljubljana, Ljubljana, Slovenia
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 431 80, Sweden
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1E 6BT, United Kingdom
- UK Dementia Research Institute, University College London, London, WC1E 6BT, United Kingdom
- Hong Kong Center for Neurodegenerative Diseases, HKCeND, Hong Kong, 1512-1518, China
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53726, USA
| | - Piotr Lewczuk
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, 91054, Germany
- Department of Biochemical Diagnostics, University Hospital of Białystok, Białystok, 15-269, Poland
| | - Madhav Thambisetty
- Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, United States of America
| | - Uroš Rot
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, 1000, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Douglas Galasko
- Department of Neurosciences, University of California, San Diego, CA 92161 United States of America
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 431 80, Sweden
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 80, Sweden
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, United States of America
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100
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Khan A, Unlu G, Lin P, Liu Y, Kilic E, Kenny TC, Birsoy K, Gamazon ER. GeneMAP: A discovery platform for metabolic gene function. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.07.570588. [PMID: 38106122 PMCID: PMC10723489 DOI: 10.1101/2023.12.07.570588] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Organisms maintain metabolic homeostasis through the combined functions of small molecule transporters and enzymes. While many of the metabolic components have been well-established, a substantial number remains without identified physiological substrates. To bridge this gap, we have leveraged large-scale plasma metabolome genome-wide association studies (GWAS) to develop a multiomic Gene-Metabolite Associations Prediction (GeneMAP) discovery platform. GeneMAP can generate accurate predictions, even pinpointing genes that are distant from the variants implicated by GWAS. In particular, our work identified SLC25A48 as a genetic determinant of plasma choline levels. Mechanistically, SLC25A48 loss strongly impairs mitochondrial choline import and synthesis of its downstream metabolite, betaine. Rare variant testing and polygenic risk score analyses have elucidated choline-relevant phenomic consequences of SLC25A48 dysfunction. Altogether, our study proposes SLC25A48 as a mitochondrial choline transporter and provides a discovery platform for metabolic gene function.
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