151
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Qiao W, Chen Y, Zhong J, Madden BJ, Charlesworth CM, Martens YA, Liu CC, Knight J, Ikezu TC, Kurti A, Zhu Y, Meneses A, Rosenberg CL, Kuchenbecker LA, Vanmaele LK, Li F, Chen K, Shue F, Dacquel MV, Fryer J, Pandey A, Zhao N, Bu G. Trem2 H157Y increases soluble TREM2 production and reduces amyloid pathology. Mol Neurodegener 2023; 18:8. [PMID: 36721205 PMCID: PMC9890893 DOI: 10.1186/s13024-023-00599-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 01/19/2023] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND The rare p.H157Y variant of TREM2 (Triggering Receptor Expressed on Myeloid Cells 2) was found to increase Alzheimer's disease (AD) risk. This mutation is located at the cleavage site of TREM2 extracellular domain. Ectopic expression of TREM2-H157Y in HEK293 cells resulted in increased TREM2 shedding. However, the physiological outcomes of the TREM2 H157Y mutation remain unknown in the absence and presence of AD related pathologies. METHODS We generated a novel Trem2 H157Y knock-in mouse model through CRISPR/Cas9 technology and investigated the effects of Trem2 H157Y on TREM2 proteolytic processing, synaptic function, and AD-related amyloid pathologies by conducting biochemical assays, targeted mass spectrometry analysis of TREM2, hippocampal electrophysiology, immunofluorescent staining, in vivo micro-dialysis, and cortical bulk RNA sequencing. RESULTS Consistent with previous in vitro findings, Trem2 H157Y increases TREM2 shedding with elevated soluble TREM2 levels in the brain and serum. Moreover, Trem2 H157Y enhances synaptic plasticity without affecting microglial density and morphology, or TREM2 signaling. In the presence of amyloid pathology, Trem2 H157Y accelerates amyloid-β (Aβ) clearance and reduces amyloid burden, dystrophic neurites, and gliosis in two independent founder lines. Targeted mass spectrometry analysis of TREM2 revealed higher ratios of soluble to full-length TREM2-H157Y compared to wild-type TREM2, indicating that the H157Y mutation promotes TREM2 shedding in the presence of Aβ. TREM2 signaling was further found reduced in Trem2 H157Y homozygous mice. Transcriptomic profiling revealed that Trem2 H157Y downregulates neuroinflammation-related genes and an immune module correlated with the amyloid pathology. CONCLUSION Taken together, our findings suggest beneficial effects of the Trem2 H157Y mutation in synaptic function and in mitigating amyloid pathology. Considering the genetic association of TREM2 p.H157Y with AD risk, we speculate TREM2 H157Y in humans might increase AD risk through an amyloid-independent pathway, such as its effects on tauopathy and neurodegeneration which merit further investigation.
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Affiliation(s)
- Wenhui Qiao
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224 USA
| | - Yixing Chen
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224 USA
| | - Jun Zhong
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905 USA
| | - Benjamin J. Madden
- Medical Genome Facility, Proteomics Core, Mayo Clinic, Rochester, MN USA
| | | | - Yuka A. Martens
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224 USA
| | - Chia-Chen Liu
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224 USA
| | - Joshua Knight
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224 USA
| | | | - Aishe Kurti
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224 USA
| | - Yiyang Zhu
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224 USA
| | - Axel Meneses
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224 USA
| | | | | | - Lucy K. Vanmaele
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224 USA
| | - Fuyao Li
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224 USA
| | - Kai Chen
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224 USA
| | - Francis Shue
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224 USA
| | | | - John Fryer
- Department of Neuroscience, Mayo Clinic, Scottsdale, AZ 85259 USA
| | - Akhilesh Pandey
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905 USA
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN USA
- Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104 India
| | - Na Zhao
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224 USA
| | - Guojun Bu
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224 USA
- SciNeuro Pharmaceuticals, Rockville, MD 20805 USA
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152
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Mann M, Fu Y, Xu X, Roberts DS, Li Y, Zhou J, Ge Y, Brasier AR. Bromodomain-containing Protein 4 Regulates Innate Inflammation in Airway Epithelial Cells via Modulation of Alternative Splicing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.17.524257. [PMID: 36711789 PMCID: PMC9882210 DOI: 10.1101/2023.01.17.524257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Bromodomain-containing Protein 4 (BRD4) is a transcriptional regulator which coordinates gene expression programs controlling cancer biology, inflammation, and fibrosis. In airway viral infection, non-toxic BRD4-specific inhibitors (BRD4i) block the release of pro-inflammatory cytokines and prevent downstream remodeling. Although the chromatin modifying functions of BRD4 in inducible gene expression have been extensively investigated, its roles in post-transcriptional regulation are not as well understood. Based on its interaction with the transcriptional elongation complex and spliceosome, we hypothesize that BRD4 is a functional regulator of mRNA processing. To address this question, we combine data-independent analysis - parallel accumulation-serial fragmentation (diaPASEF) with RNA-sequencing to achieve deep and integrated coverage of the proteomic and transcriptomic landscapes of human small airway epithelial cells exposed to viral challenge and treated with BRD4i. The transcript-level data was further interrogated for alternative splicing analysis, and the resulting data sets were correlated to identify pathways subject to post-transcriptional regulation. We discover that BRD4 regulates alternative splicing of key genes, including Interferon-related Developmental Regulator 1 ( IFRD1 ) and X-Box Binding Protein 1 ( XBP1 ), related to the innate immune response and the unfolded protein response, respectively. These findings extend the transcriptional elongation-facilitating actions of BRD4 in control of post-transcriptional RNA processing in innate signaling.
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Affiliation(s)
- Morgan Mann
- Department of Medicine, University of Wisconsin – Madison, Madison, 53705, Wisconsin, USA
| | - Yao Fu
- Department of Medicine, University of Wisconsin – Madison, Madison, 53705, Wisconsin, USA
| | - Xiaofang Xu
- Department of Medicine, University of Wisconsin – Madison, Madison, 53705, Wisconsin, USA
| | - David S. Roberts
- Department of Chemistry, University of Wisconsin – Madison, Madison, 53705, Wisconsin, USA
| | - Yi Li
- Department of Pharmacology and Toxicology, University of Texas, Medical Branch, Galveston, 77550, Texas, USA
| | - Jia Zhou
- Department of Pharmacology and Toxicology, University of Texas, Medical Branch, Galveston, 77550, Texas, USA
| | - Ying Ge
- Department of Chemistry, University of Wisconsin – Madison, Madison, 53705, Wisconsin, USA,Human Proteomics Program, University of Wisconsin – Madison, Madison, 53705, Wisconsin, USA,Department of Cell and Regenerative Biology, University of Wisconsin – Madison, Madison, 53705, Wisconsin, USA
| | - Allan R. Brasier
- Institute for Clinical and Translational Research (ICTR), University of Wisconsin – Madison, Madison, 53705, Wisconsin, USA
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153
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Weaver S, DeRosa CM, Schultz SR, Champion MM. PrIntMap-R: An Online Application for Intraprotein Intensity and Peptide Visualization from Bottom-Up Proteomics. J Proteome Res 2023; 22:432-441. [PMID: 36652611 PMCID: PMC9904286 DOI: 10.1021/acs.jproteome.2c00606] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Bottom-up proteomics (BUP) produces rich data, but visualization and analysis are time-consuming and often require programming skills. Many tools analyze these data at the proteome-level, but fewer options exist for individual proteins. Sequence coverage maps are common, but do not proportion peptide intensity. Abundance-based visualization of sequence coverage facilitates detection of protein isoforms, domains, potential truncation sites, peptide "hot-spots", and localization of post-translational modifications (PTMs). Redundant stacked-sequence coverage is an important tool in designing hydrogen-deuterium exchange (HDX) experiments. Visualization tools often lack graphical and tabular-export of processed data which complicates publication of results. Quantitative peptide abundance across amino acid sequences is an essential and missing tool in proteomics toolkits. Here we created PrIntMap-R, an online application that only requires peptide files from a database search and FASTA protein sequences. PrIntMap-R produces a variety of plots for quantitative visualization of coverage; annotation of specific sequences, PTM's, and comparisons of one or many samples overlaid with calculated fold-change or several intensity metrics. We show use-cases including protein phosphorylation, identification of glycosylation, and the optimization of digestion conditions for HDX experiments. PrIntMap-R is freely available, open source, and can run online with no installation, or locally by downloading source code from GitHub.
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Affiliation(s)
- Simon
D. Weaver
- Department
of Chemistry and Biochemistry, University
of Notre Dame, Notre
Dame, Indiana 46556, United States,Integrated
Biomedical Sciences Graduate Program, University
of Notre Dame, Notre
Dame, Indiana 46556, United States
| | - Christine M. DeRosa
- Department
of Chemistry and Biochemistry, University
of Notre Dame, Notre
Dame, Indiana 46556, United States
| | - Sadie R. Schultz
- Department
of Chemistry and Biochemistry, University
of Notre Dame, Notre
Dame, Indiana 46556, United States
| | - Matthew M. Champion
- Department
of Chemistry and Biochemistry, University
of Notre Dame, Notre
Dame, Indiana 46556, United States,Integrated
Biomedical Sciences Graduate Program, University
of Notre Dame, Notre
Dame, Indiana 46556, United States,
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154
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Vitanza NA, Wilson AL, Huang W, Seidel K, Brown C, Gustafson JA, Yokoyama JK, Johnson AJ, Baxter BA, Koning RW, Reid AN, Meechan M, Biery MC, Myers C, Rawlings-Rhea SD, Albert CM, Browd SR, Hauptman JS, Lee A, Ojemann JG, Berens ME, Dun MD, Foster JB, Crotty EE, Leary SE, Cole BL, Perez FA, Wright JN, Orentas RJ, Chour T, Newell EW, Whiteaker JR, Zhao L, Paulovich AG, Pinto N, Gust J, Gardner RA, Jensen MC, Park JR. Intraventricular B7-H3 CAR T Cells for Diffuse Intrinsic Pontine Glioma: Preliminary First-in-Human Bioactivity and Safety. Cancer Discov 2023; 13:114-131. [PMID: 36259971 PMCID: PMC9827115 DOI: 10.1158/2159-8290.cd-22-0750] [Citation(s) in RCA: 70] [Impact Index Per Article: 70.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 09/13/2022] [Accepted: 10/13/2022] [Indexed: 01/16/2023]
Abstract
Diffuse intrinsic pontine glioma (DIPG) remains a fatal brainstem tumor demanding innovative therapies. As B7-H3 (CD276) is expressed on central nervous system (CNS) tumors, we designed B7-H3-specific chimeric antigen receptor (CAR) T cells, confirmed their preclinical efficacy, and opened BrainChild-03 (NCT04185038), a first-in-human phase I trial administering repeated locoregional B7-H3 CAR T cells to children with recurrent/refractory CNS tumors and DIPG. Here, we report the results of the first three evaluable patients with DIPG (including two who enrolled after progression), who received 40 infusions with no dose-limiting toxicities. One patient had sustained clinical and radiographic improvement through 12 months on study. Patients exhibited correlative evidence of local immune activation and persistent cerebrospinal fluid (CSF) B7-H3 CAR T cells. Targeted mass spectrometry of CSF biospecimens revealed modulation of B7-H3 and critical immune analytes (CD14, CD163, CSF-1, CXCL13, and VCAM-1). Our data suggest the feasibility of repeated intracranial B7-H3 CAR T-cell dosing and that intracranial delivery may induce local immune activation. SIGNIFICANCE This is the first report of repeatedly dosed intracranial B7-H3 CAR T cells for patients with DIPG and includes preliminary tolerability, the detection of CAR T cells in the CSF, CSF cytokine elevations supporting locoregional immune activation, and the feasibility of serial mass spectrometry from both serum and CSF. This article is highlighted in the In This Issue feature, p. 1.
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Affiliation(s)
- Nicholas A. Vitanza
- Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, Washington.,Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, Washington.,Corresponding Author: Nicholas A. Vitanza, Seattle Children's Research Institute, M/S JMB-8, 1900 9th Avenue, Seattle, WA 98101. Phone: 206-884-4084; E-mail:
| | | | - Wenjun Huang
- Seattle Children's Therapeutics, Seattle, Washington
| | - Kristy Seidel
- Seattle Children's Therapeutics, Seattle, Washington
| | - Christopher Brown
- Seattle Children's Therapeutics, Seattle, Washington.,Therapeutic Cell Production Core, Seattle Children's Research Institute, Seattle, Washington
| | | | | | | | | | | | | | - Michael Meechan
- Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, Washington
| | - Matthew C. Biery
- Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, Washington
| | - Carrie Myers
- Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, Washington
| | | | - Catherine M. Albert
- Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, Washington.,Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, Washington
| | - Samuel R. Browd
- Division of Neurosurgery, Seattle Children's Hospital and Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Jason S. Hauptman
- Division of Neurosurgery, Seattle Children's Hospital and Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Amy Lee
- Division of Neurosurgery, Seattle Children's Hospital and Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Jeffrey G. Ojemann
- Division of Neurosurgery, Seattle Children's Hospital and Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Michael E. Berens
- Cancer and Cell Biology Division, The Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - Matthew D. Dun
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, Callaghan, Australia.,Precision Medicine Research Program, Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Jessica B. Foster
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.,Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Erin E. Crotty
- Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, Washington.,Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, Washington
| | - Sarah E.S. Leary
- Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, Washington.,Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, Washington
| | - Bonnie L. Cole
- Department of Laboratories, Seattle Children's Hospital, Seattle, Washington.,Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington
| | - Francisco A. Perez
- Department of Radiology, Seattle Children's Hospital, Seattle, Washington
| | - Jason N. Wright
- Department of Radiology, Seattle Children's Hospital, Seattle, Washington
| | - Rimas J. Orentas
- Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, Washington.,Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, Washington
| | - Tony Chour
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington.,Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Evan W. Newell
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington.,Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | | | - Lei Zhao
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Amanda G. Paulovich
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Navin Pinto
- Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, Washington.,Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, Washington
| | - Juliane Gust
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington.,Division of Pediatric Neurology, Department of Neurology, University of Washington, Seattle, Washington
| | - Rebecca A. Gardner
- Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, Washington.,Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, Washington.,Seattle Children's Therapeutics, Seattle, Washington
| | | | - Julie R. Park
- Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, Washington.,Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, Washington.,Seattle Children's Therapeutics, Seattle, Washington
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155
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Deutsch EW, Bandeira N, Perez-Riverol Y, Sharma V, Carver J, Mendoza L, Kundu DJ, Wang S, Bandla C, Kamatchinathan S, Hewapathirana S, Pullman B, Wertz J, Sun Z, Kawano S, Okuda S, Watanabe Y, MacLean B, MacCoss M, Zhu Y, Ishihama Y, Vizcaíno J. The ProteomeXchange consortium at 10 years: 2023 update. Nucleic Acids Res 2023; 51:D1539-D1548. [PMID: 36370099 PMCID: PMC9825490 DOI: 10.1093/nar/gkac1040] [Citation(s) in RCA: 146] [Impact Index Per Article: 146.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/20/2022] [Accepted: 10/23/2022] [Indexed: 11/13/2022] Open
Abstract
Mass spectrometry (MS) is by far the most used experimental approach in high-throughput proteomics. The ProteomeXchange (PX) consortium of proteomics resources (http://www.proteomexchange.org) was originally set up to standardize data submission and dissemination of public MS proteomics data. It is now 10 years since the initial data workflow was implemented. In this manuscript, we describe the main developments in PX since the previous update manuscript in Nucleic Acids Research was published in 2020. The six members of the Consortium are PRIDE, PeptideAtlas (including PASSEL), MassIVE, jPOST, iProX and Panorama Public. We report the current data submission statistics, showcasing that the number of datasets submitted to PX resources has continued to increase every year. As of June 2022, more than 34 233 datasets had been submitted to PX resources, and from those, 20 062 (58.6%) just in the last three years. We also report the development of the Universal Spectrum Identifiers and the improvements in capturing the experimental metadata annotations. In parallel, we highlight that data re-use activities of public datasets continue to increase, enabling connections between PX resources and other popular bioinformatics resources, novel research and also new data resources. Finally, we summarise the current state-of-the-art in data management practices for sensitive human (clinical) proteomics data.
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Affiliation(s)
| | - Nuno Bandeira
- Center for Computational Mass Spectrometry, University of California, San Diego (UCSD), La Jolla, CA 92093, USA
- Dept. Computer Science and Engineering, University of California, San Diego (UCSD), La Jolla, CA 92093, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego (UCSD), La Jolla, CA 92093, USA
| | - Yasset Perez-Riverol
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | | | - Jeremy J Carver
- Center for Computational Mass Spectrometry, University of California, San Diego (UCSD), La Jolla, CA 92093, USA
- Dept. Computer Science and Engineering, University of California, San Diego (UCSD), La Jolla, CA 92093, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego (UCSD), La Jolla, CA 92093, USA
| | - Luis Mendoza
- Institute for Systems Biology, Seattle WA 98109, USA
| | - Deepti J Kundu
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Shengbo Wang
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Chakradhar Bandla
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Selvakumar Kamatchinathan
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Suresh Hewapathirana
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Benjamin S Pullman
- Center for Computational Mass Spectrometry, University of California, San Diego (UCSD), La Jolla, CA 92093, USA
- Dept. Computer Science and Engineering, University of California, San Diego (UCSD), La Jolla, CA 92093, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego (UCSD), La Jolla, CA 92093, USA
| | - Julie Wertz
- Center for Computational Mass Spectrometry, University of California, San Diego (UCSD), La Jolla, CA 92093, USA
- Dept. Computer Science and Engineering, University of California, San Diego (UCSD), La Jolla, CA 92093, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego (UCSD), La Jolla, CA 92093, USA
| | - Zhi Sun
- Institute for Systems Biology, Seattle WA 98109, USA
| | - Shin Kawano
- Faculty of Contemporary Society, Toyama University of International Studies, Toyama 930-1292, Japan
- Database Center for Life Science (DBCLS), Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Chiba 277-0871, Japan
- School of Frontier Engineering, Kitasato University, Sagamihara 252-0373, Japan
| | - Shujiro Okuda
- Niigata University Graduate School of Medical and Dental Sciences, Niigata 951-8510, Japan
| | - Yu Watanabe
- Niigata University Graduate School of Medical and Dental Sciences, Niigata 951-8510, Japan
| | | | | | - Yunping Zhu
- Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Lifeomics, Beijing 102206, China
| | - Yasushi Ishihama
- Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan
| | - Juan Antonio Vizcaíno
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
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156
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Rutz S, Deneka D, Dittmann A, Sawicka M, Dutzler R. Structure of a volume-regulated heteromeric LRRC8A/C channel. Nat Struct Mol Biol 2023; 30:52-61. [PMID: 36522427 PMCID: PMC9851909 DOI: 10.1038/s41594-022-00899-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 11/15/2022] [Indexed: 12/23/2022]
Abstract
Volume-regulated anion channels (VRACs) participate in the cellular response to osmotic swelling. These membrane proteins consist of heteromeric assemblies of LRRC8 subunits, whose compositions determine permeation properties. Although structures of the obligatory LRRC8A, also referred to as SWELL1, have previously defined the architecture of VRACs, the organization of heteromeric channels has remained elusive. Here we have addressed this question by the structural characterization of murine LRRC8A/C channels. Like LRRC8A, these proteins assemble as hexamers. Despite 12 possible arrangements, we find a predominant organization with an A:C ratio of two. In this assembly, four LRRC8A subunits cluster in their preferred conformation observed in homomers, as pairs of closely interacting proteins that stabilize a closed state of the channel. In contrast, the two interacting LRRC8C subunits show a larger flexibility, underlining their role in the destabilization of the tightly packed A subunits, thereby enhancing the activation properties of the protein.
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Affiliation(s)
- Sonja Rutz
- Department of Biochemistry, University of Zurich, Zurich, Switzerland
| | - Dawid Deneka
- Department of Biochemistry, University of Zurich, Zurich, Switzerland
| | | | - Marta Sawicka
- Department of Biochemistry, University of Zurich, Zurich, Switzerland.
| | - Raimund Dutzler
- Department of Biochemistry, University of Zurich, Zurich, Switzerland.
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157
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Whiteaker JR, Zhao L, Schoenherr RM, Huang D, Lundeen RA, Voytovich U, Kennedy JJ, Ivey RG, Lin C, Murillo OD, Lorentzen TD, Colantonio S, Caceres TW, Roberts RR, Knotts JG, Reading JJ, Perry CD, Richardson CW, Garcia-Buntley SS, Bocik W, Hewitt SM, Chowdhury S, Vandermeer J, Smith SD, Gopal AK, Ramchurren N, Fling SP, Wang P, Paulovich AG. A multiplexed assay for quantifying immunomodulatory proteins supports correlative studies in immunotherapy clinical trials. Front Oncol 2023; 13:1168710. [PMID: 37205196 PMCID: PMC10185886 DOI: 10.3389/fonc.2023.1168710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 04/10/2023] [Indexed: 05/21/2023] Open
Abstract
Introduction Immunotherapy is an effective treatment for a subset of cancer patients, and expanding the benefits of immunotherapy to all cancer patients will require predictive biomarkers of response and immune-related adverse events (irAEs). To support correlative studies in immunotherapy clinical trials, we are developing highly validated assays for quantifying immunomodulatory proteins in human biospecimens. Methods Here, we developed a panel of novel monoclonal antibodies and incorporated them into a novel, multiplexed, immuno-multiple reaction monitoring mass spectrometry (MRM-MS)-based proteomic assay targeting 49 proteotypic peptides representing 43 immunomodulatory proteins. Results and discussion The multiplex assay was validated in human tissue and plasma matrices, where the linearity of quantification was >3 orders of magnitude with median interday CVs of 8.7% (tissue) and 10.1% (plasma). Proof-of-principle demonstration of the assay was conducted in plasma samples collected in clinical trials from lymphoma patients receiving an immune checkpoint inhibitor. We provide the assays and novel monoclonal antibodies as a publicly available resource for the biomedical community.
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Affiliation(s)
- Jeffrey R. Whiteaker
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Lei Zhao
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Regine M. Schoenherr
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Dongqing Huang
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Rachel A. Lundeen
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Ulianna Voytovich
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Jacob J. Kennedy
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Richard G. Ivey
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Chenwei Lin
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Oscar D. Murillo
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Travis D. Lorentzen
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Simona Colantonio
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Tessa W. Caceres
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Rhonda R. Roberts
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Joseph G. Knotts
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Joshua J. Reading
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Candice D. Perry
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Christopher W. Richardson
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Sandra S. Garcia-Buntley
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - William Bocik
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Stephen M. Hewitt
- Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institute of Health, Bethesda, MD, United States
| | - Shrabanti Chowdhury
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Jackie Vandermeer
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
- Division of Medical Oncology, Department of Internal Medicine, University of Washington, Seattle, WA, United States
| | - Stephen D. Smith
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
- Division of Medical Oncology, Department of Internal Medicine, University of Washington, Seattle, WA, United States
| | - Ajay K. Gopal
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
- Division of Medical Oncology, Department of Internal Medicine, University of Washington, Seattle, WA, United States
| | - Nirasha Ramchurren
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Steven P. Fling
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Amanda G. Paulovich
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
- *Correspondence: Amanda G. Paulovich,
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158
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Bruijstens AL, Stingl C, Güzel C, Stoop MP, Wong YYM, van Pelt ED, Banwell BL, Bar-Or A, Luider TM, Neuteboom RF. Neurodegeneration and humoral response proteins in cerebrospinal fluid associate with pediatric-onset multiple sclerosis and not monophasic demyelinating syndromes in childhood. Mult Scler 2023; 29:52-62. [PMID: 36154753 PMCID: PMC9896265 DOI: 10.1177/13524585221125369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Pediatric-onset multiple sclerosis (POMS) represents the earliest stage of disease pathogenesis. Investigating the cerebrospinal fluid (CSF) proteome in POMS may provide novel insights into early MS processes. OBJECTIVE To analyze CSF obtained from children at time of initial central nervous system (CNS) acquired demyelinating syndrome (ADS), to compare CSF proteome of those subsequently ascertained as having POMS versus monophasic acquired demyelinating syndrome (mADS). METHODS Patients were selected from two prospective pediatric ADS studies. Liquid chromatography-mass spectrometry (LC-MS) was performed in a Dutch discovery cohort (POMS n = 28; mADS n = 39). Parallel reaction monitoring-mass spectrometry (PRM-MS) was performed on selected proteins more abundant in POMS in a combined Dutch and Canadian validation cohort (POMS n = 48; mADS n = 106). RESULTS Discovery identified 5580 peptides belonging to 576 proteins; 58 proteins were differentially abundant with ⩾2 peptides between POMS and mADS, of which 28 more abundant in POMS. Fourteen had increased abundance in POMS with ⩾8 unique peptides. Five selected proteins were all confirmed within validation. Adjusted for age, 2 out of 5 proteins remained more abundant in POMS, that is, Carboxypeptidase E (CPE) and Semaphorin-7A (SEMA7A). CONCLUSION This exploratory study identified several CSF proteins associated with POMS and not mADS, potentially reflecting neurodegeneration, compensatory neuroprotection, and humoral response in POMS. The proteins associated with POMS highly correlated with age at CSF sampling.
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Affiliation(s)
- Arlette L Bruijstens
- AL Bruijstens Department of Neurology, Erasmus University Medical Center, Room Ee-2230, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands.
| | - Christoph Stingl
- Laboratory of Neuro-Oncology, Clinical and Cancer Proteomics, Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Coşkun Güzel
- Laboratory of Neuro-Oncology, Clinical and Cancer Proteomics, Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Marcel P Stoop
- Laboratory of Neuro-Oncology, Clinical and Cancer Proteomics, Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Yu Yi M Wong
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - E Daniëlle van Pelt
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
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159
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Ryu SY, Yun MP, Kim S. Integrating Multiple Quantitative Proteomic Analyses Using MetaMSD. Methods Mol Biol 2023; 2426:361-374. [PMID: 36308697 DOI: 10.1007/978-1-0716-1967-4_16] [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] [Indexed: 06/16/2023]
Abstract
MetaMSD is a proteomic software that integrates multiple quantitative mass spectrometry data analysis results using statistical summary combination approaches. By utilizing this software, scientists can combine results from their pilot and main studies to maximize their biomarker discovery while effectively controlling false discovery rates. It also works for combining proteomic datasets generated by different labeling techniques and/or different types of mass spectrometry instruments. With these advantages, MetaMSD enables biological researchers to explore various proteomic datasets in public repositories to discover new biomarkers and generate interesting hypotheses for future studies. In this protocol, we provide a step-by-step procedure on how to install and perform a meta-analysis for quantitative proteomics using MetaMSD.
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Affiliation(s)
- So Young Ryu
- School of Public Health, University of Nevada Reno, Reno, NV, USA.
| | - Miriam P Yun
- Department of Psychology Institute for Neuroscience, University of Nevada Reno, Reno, NV, USA
| | - Sujung Kim
- School of Public Health, University of Nevada Reno, Reno, NV, USA
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160
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Brinkkemper M, Veth TS, Brouwer PJ, Turner H, Poniman M, Burger JA, Bouhuijs JH, Olijhoek W, Bontjer I, Snitselaar JL, Caniels TG, van der Linden CA, Ravichandran R, Villaudy J, van der Velden YU, Sliepen K, van Gils MJ, Ward AB, King NP, Heck AJ, Sanders RW. Co-display of diverse spike proteins on nanoparticles broadens sarbecovirus neutralizing antibody responses. iScience 2022; 25:105649. [PMID: 36439375 PMCID: PMC9678814 DOI: 10.1016/j.isci.2022.105649] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 10/07/2022] [Accepted: 11/18/2022] [Indexed: 11/23/2022] Open
Abstract
The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants poses continuous challenges in combating the virus. Here, we describe vaccination strategies to broaden SARS-CoV-2 and sarbecovirus immunity by combining spike proteins based on different viruses or viral strains displayed on two-component protein nanoparticles. First, we combined spike proteins based on ancestral and Beta SARS-CoV-2 strains to broaden SARS-CoV-2 immune responses. Inclusion of Beta spike improved neutralizing antibody responses against SARS-CoV-2 Beta, Gamma, and Omicron BA.1 and BA.4/5. A third vaccination with ancestral SARS-CoV-2 spike also improved cross-neutralizing antibody responses against SARS-CoV-2 variants, in particular against the Omicron sublineages. Second, we combined SARS-CoV and SARS-CoV-2 spike proteins to broaden sarbecovirus immune responses. Adding SARS-CoV spike to a SARS-CoV-2 spike vaccine improved neutralizing responses against SARS-CoV and SARS-like bat sarbecoviruses SHC014 and WIV1. These results should inform the development of broadly active SARS-CoV-2 and pan-sarbecovirus vaccines and highlight the versatility of two-component nanoparticles for displaying diverse antigens.
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Affiliation(s)
- Mitch Brinkkemper
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Tim S. Veth
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Padualaan 8, 3584 CH Utrecht, the Netherlands
- Netherlands Proteomics Center, Padualaan 8, 3584 CH Utrecht, the Netherlands
| | - Philip J.M. Brouwer
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Hannah Turner
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Meliawati Poniman
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Judith A. Burger
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Joey H. Bouhuijs
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Wouter Olijhoek
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Ilja Bontjer
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Jonne L. Snitselaar
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Tom G. Caniels
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Cynthia A. van der Linden
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Rashmi Ravichandran
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Julien Villaudy
- J&S Preclinical Solutions, 5345 RR, OSS, the Netherlands
- AIMM Therapeutics BV, 1105 BA Amsterdam, the Netherlands
| | - Yme U. van der Velden
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Kwinten Sliepen
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Marit J. van Gils
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Andrew B. Ward
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, 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
| | - Albert J.R. Heck
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Padualaan 8, 3584 CH Utrecht, the Netherlands
- Netherlands Proteomics Center, Padualaan 8, 3584 CH Utrecht, the Netherlands
| | - Rogier W. Sanders
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
- Department of Microbiology and Immunology, Weill Medical College of Cornell University, New York, NY 10065, USA
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161
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Sanchez-Sanchez JL, Giudici KV, Guyonnet S, Delrieu J, Li Y, Bateman RJ, Parini A, Vellas B, de Souto Barreto P, Vellas B, Guyonnet S, Carrié I, Brigitte L, Faisant C, Lala F, Delrieu J, Villars H, Combrouze E, Badufle C, Zueras A, Andrieu S, Cantet C, Morin C, Van Kan GA, Dupuy C, Rolland Y, Caillaud C, Ousset PJ, Lala F, Willis S, Belleville S, Gilbert B, Fontaine F, Dartigues JF, Marcet I, Delva F, Foubert A, Cerda S, Marie-Noëlle-Cuffi, Costes C, Rouaud O, Manckoundia P, Quipourt V, Marilier S, Franon E, Bories L, Pader ML, Basset MF, Lapoujade B, Faure V, Tong MLY, Malick-Loiseau C, Cazaban-Campistron E, Desclaux F, Blatge C, Dantoine T, Laubarie-Mouret C, Saulnier I, Clément JP, Picat MA, Bernard-Bourzeix L, Willebois S, Désormais I, Cardinaud N, Bonnefoy M, Livet P, Rebaudet P, Gédéon C, Burdet C, Terracol F, Pesce A, Roth S, Chaillou S, Louchart S, Sudres K, Lebrun N, Barro-Belaygues N, Touchon J, Bennys K, Gabelle A, Romano A, Touati L, Marelli C, Pays C, Robert P, Le Duff F, Gervais C, Gonfrier S, Gasnier Y, Bordes S, Begorre D, Carpuat C, Khales K, Lefebvre JF, El Idrissi SM, Skolil P, Salles JP, Dufouil C, Lehéricy S, Chupin M, Mangin JF, Bouhayia A, Allard M, Ricolfi F, Dubois D, Martel MPB, Cotton F, Bonafé A, Chanalet S, Hugon F, Bonneville F, Cognard C, Chollet F, Payoux P, Voisin T, Peiffer S, Hitzel A, Zanca M, Monteil J, Darcourt J, Molinier L, Derumeaux H, Costa N, Perret B, Vinel C, Caspar-Bauguil S, Olivier-Abbal P, Coley N. Plasma MCP-1 and changes on cognitive function in community-dwelling older adults. Alzheimers Res Ther 2022; 14:5. [PMID: 34996522 PMCID: PMC8742409 DOI: 10.1186/s13195-021-00940-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 11/16/2021] [Indexed: 12/24/2022]
Abstract
Background Monocyte Chemoattractant Protein-1 (MCP-1), a glial-derived chemokine, mediates neuroinflammation and may regulate memory outcomes among older adults. We aimed to explore the associations of plasma MCP-1 levels (alone and in combination with β-amyloid deposition—Aβ42/40) with overall and domain-specific cognitive evolution among older adults. Methods Secondary analyses including 1097 subjects (mean age = 75.3 years ± 4.4; 63.8% women) from the Multidomain Alzheimer Preventive Trial (MAPT). MCP-1 (higher is worse) and Aβ42/40 (lower is worse) were measured in plasma collected at year 1. MCP-1 in continuous and as a dichotomy (values in the highest quartile (MCP-1+)) were used, as well as a dichotomy of Aβ42/40. Outcomes were measured annually over 4 years and included the following: cognitive composite z-score (CCS), the Mini-Mental State Examination (MMSE), and Clinical Dementia Rating (CDR) sum of boxes (overall cognitive function); composite executive function z-score, composite attention z-score, Free and Cued Selective Reminding Test (FCSRT - memory). Results Plasma MCP-1 as a continuous variable was associated with the worsening of episodic memory over 4 years of follow-up, specifically in measures of free and cued delayed recall. MCP-1+ was associated with worse evolution in the CCS (4-year between-group difference: β = −0.14, 95%CI = −0.26, −0.02) and the CDR sum of boxes (2-year: β = 0.19, 95%CI = 0.06, 0.32). In domain-specific analyses, MCP-1+ was associated with declines in the FCSRT delayed recall sub-domains. In the presence of low Aβ42/40, MCP-1+ was not associated with greater declines in cognitive functions. The interaction with continuous biomarker values Aβ42/40× MCP-1 × time was significant in models with CDR sum of boxes and FCSRT DTR as dependent variables. Conclusions Baseline plasma MCP-1 levels were associated with longitudinal declines in overall cognitive and episodic memory performance in older adults over a 4-year follow-up. How plasma MCP-1 interacts with Aβ42/40 to determine cognitive decline at different stages of cognitive decline/dementia should be clarified by further research. The MCP-1 association on cognitive decline was strongest in those with amyloid plaques, as measured by blood plasma Aβ42/40. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-021-00940-2.
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162
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Castellaneta A, Losito I, Cisternino G, Leoni B, Santamaria P, Calvano CD, Bianco G, Cataldi TRI. All Ion Fragmentation Analysis Enhances the Untargeted Profiling of Glucosinolates in Brassica Microgreens by Liquid Chromatography and High-Resolution Mass Spectrometry. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2022; 33:2108-2119. [PMID: 36264209 DOI: 10.1021/jasms.2c00208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
An analytical approach based on reversed-phase liquid chromatography coupled to electrospray ionization Fourier-transform mass spectrometry in negative ion mode (RPLC-ESI-(-)-FTMS) was developed for the untargeted characterization of glucosinolates (GSL) in the polar extracts of four Brassica microgreen crops, namely, garden cress, rapeseed, kale, and broccoli raab. Specifically, the all ion fragmentation (AIF) operation mode enabled by a quadrupole-Orbitrap mass spectrometer, i.e., the systematic fragmentation of all ions generated in the electrospray source, followed by the acquisition of an FTMS spectrum, was exploited. First, the best qualifying product ions for GSL were recognized from higher-energy collisional dissociation (HCD)-FTMS2 spectra of representative standard GSL. Extracted ion chromatograms (EIC) were subsequently obtained for those ions from RPLC-ESI(-)-AIF-FTMS data referred to microgreen extracts, by plotting the intensity of their signals as a function of retention time. The alignment of peaks detected in the EIC traces was finally exploited for the recognition of peaks potentially related to GSL, with the EIC obtained for the sulfate radical anion [SO4]•- (exact m/z 95.9523) providing the highest selectivity. Each putative GSL was subsequently characterized by HCD-FTMS2 analyses and by collisionally induced dissociation (CID) multistage MSn (n = 2, 3) acquisitions based on a linear ion trap mass spectrometer. As a result, up to 27 different GSLs were identified in the four Brassica microgreens. The general method described in this work appears as a promising approach for the study of GSL, known and novel, in plant extracts.
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Affiliation(s)
- Andrea Castellaneta
- Dipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", via Orabona 4, 70126 Bari, Italy
| | - Ilario Losito
- Dipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", via Orabona 4, 70126 Bari, Italy
- Centro Interdipartimentale SMART, Università degli Studi di Bari "Aldo Moro", via Orabona 4, 70126 Bari, Italy
| | - Giovanni Cisternino
- Dipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", via Orabona 4, 70126 Bari, Italy
| | - Beniamino Leoni
- Dipartimento di Scienze Agro-Ambientali e Territoriali, Università degli Studi di Bari "Aldo Moro", via Orabona 4, 70126 Bari, Italy
| | - Pietro Santamaria
- Centro Interdipartimentale SMART, Università degli Studi di Bari "Aldo Moro", via Orabona 4, 70126 Bari, Italy
- Dipartimento di Scienze Agro-Ambientali e Territoriali, Università degli Studi di Bari "Aldo Moro", via Orabona 4, 70126 Bari, Italy
| | - Cosima Damiana Calvano
- Dipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", via Orabona 4, 70126 Bari, Italy
- Centro Interdipartimentale SMART, Università degli Studi di Bari "Aldo Moro", via Orabona 4, 70126 Bari, Italy
| | - Giuliana Bianco
- Dipartimento di Scienze, Università degli Studi della Basilicata, viale dell'Ateneo Lucano 10, 85100 Potenza, Italy
| | - Tommaso R I Cataldi
- Dipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", via Orabona 4, 70126 Bari, Italy
- Centro Interdipartimentale SMART, Università degli Studi di Bari "Aldo Moro", via Orabona 4, 70126 Bari, Italy
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163
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Berková V, Berka M, Griga M, Kopecká R, Prokopová M, Luklová M, Horáček J, Smýkalová I, Čičmanec P, Novák J, Brzobohatý B, Černý M. Molecular Mechanisms Underlying Flax ( Linum usitatissimum L.) Tolerance to Cadmium: A Case Study of Proteome and Metabolome of Four Different Flax Genotypes. PLANTS (BASEL, SWITZERLAND) 2022; 11:2931. [PMID: 36365383 PMCID: PMC9655427 DOI: 10.3390/plants11212931] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 10/21/2022] [Accepted: 10/27/2022] [Indexed: 06/16/2023]
Abstract
Cadmium is one of the most toxic heavy metal pollutants, and its accumulation in the soil is harmful to agriculture. Plants have a higher cadmium tolerance than animals, and some species can be used for phytoremediation. Flax (Linum usitatissimum L.) can accumulate high amounts of cadmium, but the molecular mechanism behind its tolerance is unknown. Here, we employed four genotypes representing two fiber cultivars, an oilseed breeding line, and a transgenic line overexpressing the metallothionein domain for improved cadmium tolerance. We analyzed the proteome of suspensions and the proteome and metabolome of seedling roots in response to cadmium. We identified more than 1400 differentially abundant proteins representing putative mechanisms in cadmium tolerance, including metal-binding proteins and transporters, enzymes of flavonoid, jasmonate, polyamine, glutathione metabolism, and HSP70 proteins. Our data indicated the role of the phytohormone cytokinin in the observed responses. The metabolome profiling found that pipecolinic acid could be a part of the cadmium accumulation mechanism, and the observed accumulation of putrescine, coumaric acid, cinnamic acid, and coutaric acid confirmed the role of polyamines and flavonoids in tolerance to cadmium. In conclusion, our data provide new insight into cadmium tolerance and prospective targets for improving cadmium tolerance in other plants.
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Affiliation(s)
- Veronika Berková
- Department of Molecular Biology and Radiobiology, Faculty of AgriSciences, Mendel University in Brno, 61300 Brno, Czech Republic
| | - Miroslav Berka
- Department of Molecular Biology and Radiobiology, Faculty of AgriSciences, Mendel University in Brno, 61300 Brno, Czech Republic
| | - Miroslav Griga
- Plant Biotechnology Department, Agritec Plant Research, Ltd., 78701 Šumperk, Czech Republic
| | - Romana Kopecká
- Department of Molecular Biology and Radiobiology, Faculty of AgriSciences, Mendel University in Brno, 61300 Brno, Czech Republic
| | - Miroslava Prokopová
- Plant Biotechnology Department, Agritec Plant Research, Ltd., 78701 Šumperk, Czech Republic
| | - Markéta Luklová
- Department of Molecular Biology and Radiobiology, Faculty of AgriSciences, Mendel University in Brno, 61300 Brno, Czech Republic
| | - Jiří Horáček
- Plant Biotechnology Department, Agritec Plant Research, Ltd., 78701 Šumperk, Czech Republic
| | - Iva Smýkalová
- Plant Biotechnology Department, Agritec Plant Research, Ltd., 78701 Šumperk, Czech Republic
| | - Petr Čičmanec
- Department of Molecular Biology and Radiobiology, Faculty of AgriSciences, Mendel University in Brno, 61300 Brno, Czech Republic
| | - Jan Novák
- Department of Molecular Biology and Radiobiology, Faculty of AgriSciences, Mendel University in Brno, 61300 Brno, Czech Republic
| | - Břetislav Brzobohatý
- Department of Molecular Biology and Radiobiology, Faculty of AgriSciences, Mendel University in Brno, 61300 Brno, Czech Republic
| | - Martin Černý
- Department of Molecular Biology and Radiobiology, Faculty of AgriSciences, Mendel University in Brno, 61300 Brno, Czech Republic
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164
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Gagné D, Shajari E, Thibault MP, Noël JF, Boisvert FM, Babakissa C, Levy E, Gagnon H, Brunet MA, Grynspan D, Ferretti E, Bertelle V, Beaulieu JF. Proteomics Profiling of Stool Samples from Preterm Neonates with SWATH/DIA Mass Spectrometry for Predicting Necrotizing Enterocolitis. Int J Mol Sci 2022; 23:ijms231911601. [PMID: 36232903 PMCID: PMC9569884 DOI: 10.3390/ijms231911601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 09/15/2022] [Accepted: 09/20/2022] [Indexed: 11/05/2022] Open
Abstract
Necrotizing enterocolitis (NEC) is a life-threatening condition for premature infants in neonatal intensive care units. Finding indicators that can predict NEC development before symptoms appear would provide more time to apply targeted interventions. In this study, stools from 132 very-low-birth-weight (VLBW) infants were collected daily in the context of a multi-center prospective study aimed at investigating the potential of fecal biomarkers for NEC prediction using proteomics technology. Eight of the VLBW infants received a stage-3 NEC diagnosis. Stools collected from the NEC infants up to 10 days before their diagnosis were available for seven of them. Their samples were matched with those from seven pairs of non-NEC controls. The samples were processed for liquid chromatography-tandem mass spectrometry analysis using SWATH/DIA acquisition and cross-compatible proteomic software to perform label-free quantification. ROC curve and principal component analyses were used to explore discriminating information and to evaluate candidate protein markers. A series of 36 proteins showed the most efficient capacity with a signature that predicted all seven NEC infants at least a week in advance. Overall, our study demonstrates that multiplexed proteomic signature detection constitutes a promising approach for the early detection of NEC development in premature infants.
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Affiliation(s)
- David Gagné
- Laboratory of Intestinal Physiopathology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
- Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
| | - Elmira Shajari
- Laboratory of Intestinal Physiopathology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
- Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
| | - Marie-Pier Thibault
- Laboratory of Intestinal Physiopathology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
- Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
| | - Jean-François Noël
- PhenoSwitch Bioscience Inc., 975 Rue Léon-Trépanier, Sherbrooke, QC J1G 5J6, Canada
| | - François-Michel Boisvert
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
- Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
| | - Corentin Babakissa
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
- Department of Pediatrics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
| | - Emile Levy
- Research Center, Centre Hospitalier Universitaire Ste-Justine, Université de Montréal, Montréal, QC H3T 1C5, Canada
| | - Hugo Gagnon
- PhenoSwitch Bioscience Inc., 975 Rue Léon-Trépanier, Sherbrooke, QC J1G 5J6, Canada
| | - Marie A. Brunet
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
- Department of Pediatrics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
| | - David Grynspan
- Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of British Colombia, Vancouver, BC V6T 2B5, Canada
| | - Emanuela Ferretti
- Division of Neonatology, Department of Pediatrics, Children’s Hospital of Eastern Ontario (CHEO) and CHEO Research Institute, Ottawa, ON K1H 8L1, Canada
| | - Valérie Bertelle
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
- Division of Neonatology, Department of Pediatrics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
| | - Jean-François Beaulieu
- Laboratory of Intestinal Physiopathology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
- Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
- Correspondence:
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165
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Ghiboub M, Penny S, Verburgt CM, Boneh RS, Wine E, Cohen A, Dunn KA, Pinto DM, Benninga MA, de Jonge WJ, Levine A, Van Limbergen JE. Metabolome Changes With Diet-Induced Remission in Pediatric Crohn's Disease. Gastroenterology 2022; 163:922-936.e15. [PMID: 35679949 DOI: 10.1053/j.gastro.2022.05.050] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 05/18/2022] [Accepted: 05/30/2022] [Indexed: 12/18/2022]
Abstract
BACKGROUND & AIMS The Crohn's disease (CD) exclusion diet (CDED) plus partial enteral nutrition (PEN) and exclusive enteral nutrition (EEN) both induce remission in pediatric CD. CDED+PEN is better tolerated and able to sustain remission. We characterized the changes in fecal metabolites induced by CDED+PEN and EEN and their relationship with remission. METHODS A total of 216 fecal metabolites were measured in 80 fecal samples at week (W) 0, W6, and W12, of children with mild to moderate CD in a prospective randomized trial comparing CDED+PEN vs EEN. The metabolites were measured using liquid chromatography coupled to mass spectrometry. Metagenome Kyoto Encyclopedia of Genes and Genomes Orthology analysis was performed to investigate the differential functional gene abundance involved in specific metabolic pathways. Data were analyzed according to clinical outcome of remission (W6_rem), no remission (W6_nr), sustained remission (W12_sr), and nonsustained (W12_nsr) remission. RESULTS A decrease in kynurenine and succinate synthesis and an increase in N-α-acetyl-arginine characterized CDED+PEN W6_rem, whereas changes in lipid metabolism characterized EEN W6_rem, especially reflected by lower levels in ceramides. In contrast, fecal metabolites in EEN W6_nr were comparable to baseline/W0 samples. CDED+PEN W6_rem children maintained metabolome changes through W12. In contrast, W12_nsr children in the EEN group, who resumed a free diet after week 6, did not. The metabolome of CDED+PEN differed from EEN in the purine, pyrimidine, and sphingolipid pathways. A significant differential abundance in several genes involved in these pathways was detected. CONCLUSION CDED+PEN- and EEN-induced remission are associated with significant changes in inflammatory bowel disease-associated metabolites such as kynurenine, ceramides, amino acids, and others. Sustained remission with CDED+PEN, but not EEN, was associated with persistent changes in metabolites. CLINICALTRIALS gov, Number NCT01728870.
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Affiliation(s)
- Mohammed Ghiboub
- Tytgat Institute for Liver and Intestinal Research, Amsterdam Gastroenterology Endocrinology Metabolism, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands; Department of Pediatric Gastroenterology and Nutrition, Amsterdam University Medical Centers, Emma Children's Hospital, Amsterdam, the Netherlands
| | - Susanne Penny
- National Research Council Canada, Human Health Therapeutics, Halifax, Canada
| | - Charlotte M Verburgt
- Tytgat Institute for Liver and Intestinal Research, Amsterdam Gastroenterology Endocrinology Metabolism, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands; Department of Pediatric Gastroenterology and Nutrition, Amsterdam University Medical Centers, Emma Children's Hospital, Amsterdam, the Netherlands
| | - Rotem Sigall Boneh
- Division of Pediatric Gastroenterology, Wolfson Medical Centre, Holon, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Eytan Wine
- Division of Pediatric Gastroenterology, Department of Pediatrics, University of Alberta, Edmonton, Canada
| | - Alejandro Cohen
- Department of Biochemistry and Molecular Biology, Dalhousie University, Halifax, Canada
| | | | - Devanand M Pinto
- National Research Council Canada, Human Health Therapeutics, Halifax, Canada
| | - Marc A Benninga
- Department of Pediatric Gastroenterology and Nutrition, Amsterdam University Medical Centers, Emma Children's Hospital, Amsterdam, the Netherlands
| | - Wouter J de Jonge
- Tytgat Institute for Liver and Intestinal Research, Amsterdam Gastroenterology Endocrinology Metabolism, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands; Department of Surgery, University Hospital of Bonn, Bonn, Germany
| | - Arie Levine
- Division of Pediatric Gastroenterology, Wolfson Medical Centre, Holon, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Johan E Van Limbergen
- Tytgat Institute for Liver and Intestinal Research, Amsterdam Gastroenterology Endocrinology Metabolism, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands; Department of Pediatric Gastroenterology and Nutrition, Amsterdam University Medical Centers, Emma Children's Hospital, Amsterdam, the Netherlands; Department of Pediatrics, Dalhousie University, Halifax, Canada.
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166
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Fashe MM, Fallon JK, Miner TA, Tiley JB, Smith PC, Lee CR. Impact of pregnancy related hormones on drug metabolizing enzyme and transport protein concentrations in human hepatocytes. Front Pharmacol 2022; 13:1004010. [PMID: 36210832 PMCID: PMC9532936 DOI: 10.3389/fphar.2022.1004010] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 08/22/2022] [Indexed: 11/13/2022] Open
Abstract
Pregnancy alters the disposition and exposure to multiple drugs indicated for pregnancy-related complications. Previous in vitro studies have shown that pregnancy-related hormones (PRHs) alter the expression and function of certain cytochrome P450s (CYPs) in human hepatocytes. However, the impact of PRHs on hepatic concentrations of non-CYP drug-metabolizing enzymes (DMEs) and transport proteins remain largely unknown. In this study, sandwich-cultured human hepatocytes (SCHH) from five female donors were exposed to vehicle or PRHs (estrone, estradiol, estriol, progesterone, cortisol, and placental growth hormone), administered individually or in combination, across a range of physiologically relevant PRH concentrations for 72 h. Absolute concentrations of 33 hepatic non-CYP DMEs and transport proteins were quantified in SCHH membrane fractions using a quantitative targeted absolute proteomics (QTAP) isotope dilution nanoLC-MS/MS method. The data revealed that PRHs altered the absolute protein concentration of various DMEs and transporters in a concentration-, isoform-, and hepatocyte donor-dependent manner. Overall, eight of 33 (24%) proteins exhibited a significant PRH-evoked net change in absolute protein concentration relative to vehicle control (ANOVA p < 0.05) across hepatocyte donors: 1/11 UGTs (9%; UGT1A4), 4/6 other DMEs (67%; CES1, CES2, FMO5, POR), and 3/16 transport proteins (19%; OAT2, OCT3, P-GP). An additional 8 (24%) proteins (UGT1A1, UGT2B4, UGT2B10, FMO3, OCT1, MRP2, MRP3, ENT1) exhibited significant PRH alterations in absolute protein concentration within at least two individual hepatocyte donors. In contrast, 17 (52%) proteins exhibited no discernable impact by PRHs either within or across hepatocyte donors. Collectively, these results provide the first comprehensive quantitative proteomic evaluation of PRH effects on non-CYP DMEs and transport proteins in SCHH and offer mechanistic insight into the altered disposition of drug substrates cleared by these pathways during pregnancy.
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Affiliation(s)
- Muluneh M. Fashe
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - John K. Fallon
- Division of Pharmacoengineering and Molecular Pharmaceutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Taryn A. Miner
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Jacqueline B. Tiley
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Philip C. Smith
- Division of Pharmacoengineering and Molecular Pharmaceutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Craig R. Lee
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- *Correspondence: Craig R. Lee,
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167
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An Evaluation Model of Agricultural Entrepreneurial Ecological Environment Quality Oriented to Public Health Topic Using the Optimized Neural Network Algorithm. JOURNAL OF ENVIRONMENTAL AND PUBLIC HEALTH 2022; 2022:8735069. [PMID: 36159770 PMCID: PMC9507673 DOI: 10.1155/2022/8735069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 08/23/2022] [Accepted: 08/24/2022] [Indexed: 12/05/2022]
Abstract
As the primary industry, agriculture is a prerequisite for human survival and a basic industry of the national economy. As a result, the growth of agriculture is vital for the nation's socioeconomic development. The construction of ecological civilization and the reform and innovation of farmers' digital entrepreneurial behavior in the region are intimately correlated with the agricultural eco-environmental quality. Therefore, it is crucial for us to improve control and maintenance of the agricultural eco-environment. A requirement for directing the sustainable growth of the agricultural economy is evaluating and identifying the quality of the regional eco-environment and the issues it faces. In view of this, the study employs Jiangsu Province as a research example, builds a comprehensive index evaluation system, and uses the modified BP neural network to evaluate the agricultural eco-environmental quality in the target area between 2010 and 2020. First, the evaluation system is constructed from four dimensions: ecological resource status, environmental pollution degree, eco-environmental protection efforts, and agricultural development level, and 14 influencing factors are then screened out as specific secondary evaluation indicators. Second, a GA-BP model will be applied to comprehensively assess the quality of the agricultural eco-environment in the province over the past 10 years. The comprehensive score of the province's agricultural eco-environmental quality was calculated, and the quality level was classified by this. Meanwhile, the indicators' scores were paired with an analysis of each contributing factor's degree of change. The findings indicate that from 2010 to 2020, Jiangsu Province's agricultural eco-environment demonstrated a favorable trend, a reasonably high-quality level, and a tendency of continuous improvement from bad to good. The results of each indicator measuring the quality of the agricultural environment fluctuated, but overall they showed an upward trend. Finally, in order to offer a reference for agricultural eco-environment control and protection and a good ecological environment for farmers' digital entrepreneurship in the near future, countermeasures and suggestions are proposed for the restoration of the agricultural eco-environment in Jiangsu Province referring to the results of the research and the problems already present in the area.
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168
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Richards CM, Jabs S, Qiao W, Varanese LD, Schweizer M, Mosen PR, Riley NM, Klüssendorf M, Zengel JR, Flynn RA, Rustagi A, Widen JC, Peters CE, Ooi YS, Xie X, Shi PY, Bartenschlager R, Puschnik AS, Bogyo M, Bertozzi CR, Blish CA, Winter D, Nagamine CM, Braulke T, Carette JE. The human disease gene LYSET is essential for lysosomal enzyme transport and viral infection. Science 2022; 378:eabn5648. [PMID: 36074821 PMCID: PMC9547973 DOI: 10.1126/science.abn5648] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Lysosomes are key degradative compartments of the cell. Transport to lysosomes relies on GlcNAc-1-phosphotransferase-mediated tagging of soluble enzymes with mannose 6-phosphate (M6P). GlcNAc-1-phosphotransferase deficiency leads to the severe lysosomal storage disorder mucolipidosis II (MLII). Several viruses require lysosomal cathepsins to cleave structural proteins and thus depend on functional GlcNAc-1-phosphotransferase. Here, we used genome-scale CRISPR screens to identify Lysosomal Enzyme Trafficking factor (LYSET) as essential for infection by cathepsin-dependent viruses including SARS-CoV-2. LYSET deficiency resulted in global loss of M6P tagging and mislocalization of GlcNAc-1-phosphotransferase from the Golgi complex to lysosomes. Lyset knockout mice exhibited MLII-like phenotypes and human pathogenic LYSET alleles failed to restore lysosomal sorting defects. Thus, LYSET is required for correct functioning of the M6P trafficking machinery, and mutations in LYSET can explain the phenotype of the associated disorder.
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Affiliation(s)
- Christopher M Richards
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Sabrina Jabs
- Institute of Clinical Molecular Biology, Christian-Albrechts-University and University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Wenjie Qiao
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Lauren D Varanese
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Michaela Schweizer
- Department of Electron Microscopy, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Peter R Mosen
- Institute for Biochemistry and Molecular Biology, Medical Faculty, Rheinische Friedrich-Wilhelms-University of Bonn, Bonn, Germany
| | | | - Malte Klüssendorf
- Department of Osteology and Biomechanics, Cell Biology of Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - James R Zengel
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Ryan A Flynn
- Stem Cell Program, Boston Children's Hospital, Boston, MA, USA.,Stem Cell and Regenerative Biology Department, Harvard University, Cambridge, MA, USA
| | - Arjun Rustagi
- Division of Infectious Disease and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - John C Widen
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Christine E Peters
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Yaw Shin Ooi
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
| | - Xuping Xie
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA
| | - Pei-Yong Shi
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA
| | - Ralf Bartenschlager
- Department of Infectious Diseases, Molecular Virology, Heidelberg University, Heidelberg, Germany.,Division Virus-Associated Carcinogenesis, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Matthew Bogyo
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.,Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Carolyn R Bertozzi
- Department of Chemistry, Stanford University, Stanford, CA, USA.,Howard Hughes Medical Institute, Stanford, CA, USA
| | - Catherine A Blish
- Division of Infectious Disease and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Dominic Winter
- Institute for Biochemistry and Molecular Biology, Medical Faculty, Rheinische Friedrich-Wilhelms-University of Bonn, Bonn, Germany
| | - Claude M Nagamine
- Department of Comparative Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Thomas Braulke
- Department of Osteology and Biomechanics, Cell Biology of Rare Diseases, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jan E Carette
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
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169
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Jones AR, Deutsch EW, Vizcaíno JA. Is DIA proteomics data FAIR? Current data sharing practices, available bioinformatics infrastructure and recommendations for the future. Proteomics 2022; 23:e2200014. [PMID: 36074795 PMCID: PMC10155627 DOI: 10.1002/pmic.202200014] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/27/2022] [Accepted: 08/29/2022] [Indexed: 11/06/2022]
Abstract
Data independent acquisition (DIA) proteomics techniques have matured enormously in recent years, thanks to multiple technical developments in e.g. instrumentation and data analysis approaches. However, there are many improvements that are still possible for DIA data in the area of the FAIR (Findability, Accessibility, Interoperability and Reusability) data principles. These include more tailored data sharing practices and open data standards, since public databases and data standards for proteomics were mostly designed with DDA data in mind. Here we first describe the current state of the art in the context of FAIR data for proteomics in general, and for DIA approaches in particular. For improving the current situation for DIA data, we make the following recommendations for the future: (i) development of an open data standard for spectral libraries; (ii) make mandatory the availability of the spectral libraries used in DIA experiments in ProteomeXchange resources; (iii) improve the support for DIA data in the data standards developed by the Proteomics Standards Initiative; and (iv) improve the support for DIA datasets in ProteomeXchange resources, including more tailored metadata requirements. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Andrew R Jones
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 3BX, UK
| | - Eric W Deutsch
- Institute for Systems Biology, Seattle, Washington, 98109, USA
| | - Juan Antonio Vizcaíno
- European Molecular Biology Laboratory, EMBL-European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge, CB10 1SD, UK
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170
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Zheng R, Stejskal K, Pynn C, Mechtler K, Boychenko A. Deep Single-Shot NanoLC-MS Proteome Profiling with a 1500 Bar UHPLC System, Long Fully Porous Columns, and HRAM MS. J Proteome Res 2022; 21:2545-2551. [PMID: 36068014 PMCID: PMC9552226 DOI: 10.1021/acs.jproteome.2c00270] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
![]()
This study demonstrates how the latest ultrahigh-performance
liquid
chromatography (UHPLC) technology can be combined with high-resolution
accurate-mass (HRAM) mass spectrometry (MS) and long columns packed
with fully porous particles to improve bottom-up proteomics analysis
with nanoflow liquid chromatography–mass spectrometry (nanoLC-MS)
methods. The increased back pressures from the UHPLC system enabled
the use of 75 μm I.D. × 75 cm columns packed with 2 μm
particles at a typical 300 nL/min flow rate as well as elevated and
reduced flow rates. The constant pressure pump operation at 1500 bar
reduced sample loading and column washing/equilibration stages and
overall overhead time, which maximizes MS utilization time. The versatility
of flow rate optimization to balance the sensitivity, throughput with
sample loading amount, and capability of using longer gradients contributes
to a greater number of peptide and protein identifications for single-shot
bottom-up proteomics experiments. The routine proteome profiling and
precise quantification of >7000 proteins with single-shot nanoLC-MS
analysis open possibilities for large-scale discovery studies with
a deep dive into the protein level alterations. Data are available
via ProteomeXchange with identifier PXD035665.
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Affiliation(s)
- Runsheng Zheng
- Thermo Fisher Scientific, Dornierstrasse 4, 82110 Germering, Germany
| | - Karel Stejskal
- IMP─Institute of Molecular Pathology, Campus-Vienna-Biocenter 1, A-1030 Vienna, Austria.,IMBA─Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Dr. Bohr Gasse 3, A-1030 Vienna, Austria.,Gregor Mendel Institute of Molecular Plant Biology of the Austrian Academy of Sciences, Dr. Bohr Gasse 3, A-1030 Vienna, Austria
| | - Christopher Pynn
- Thermo Fisher Scientific, Dornierstrasse 4, 82110 Germering, Germany
| | - Karl Mechtler
- IMP─Institute of Molecular Pathology, Campus-Vienna-Biocenter 1, A-1030 Vienna, Austria.,IMBA─Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Dr. Bohr Gasse 3, A-1030 Vienna, Austria.,Gregor Mendel Institute of Molecular Plant Biology of the Austrian Academy of Sciences, Dr. Bohr Gasse 3, A-1030 Vienna, Austria
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171
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Saxton MW, Perry BW, Evans Hutzenbiler BD, Trojahn S, Gee A, Brown AP, Merrihew GE, Park J, Cornejo OE, MacCoss MJ, Robbins CT, Jansen HT, Kelley JL. Serum plays an important role in reprogramming the seasonal transcriptional profile of brown bear adipocytes. iScience 2022; 25:105084. [PMID: 36317158 PMCID: PMC9617460 DOI: 10.1016/j.isci.2022.105084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 06/30/2022] [Accepted: 09/01/2022] [Indexed: 11/19/2022] Open
Abstract
Understanding how metabolic reprogramming happens in cells will aid the progress in the treatment of a variety of metabolic disorders. Brown bears undergo seasonal shifts in insulin sensitivity, including reversible insulin resistance in hibernation. We performed RNA-sequencing on brown bear adipocytes and proteomics on serum to identify changes possibly responsible for reversible insulin resistance. We observed dramatic transcriptional changes, which depended on both the cell and serum season of origin. Despite large changes in adipocyte gene expression, only changes in eight circulating proteins were identified as related to the seasonal shifts in insulin sensitivity, including some that have not previously been associated with glucose homeostasis. The identified serum proteins may be sufficient for shifting hibernation adipocytes to an active-like state. Hibernation in grizzly bears is marked by insulin resistance Bear adipocytes were stimulated with active and hibernating bear blood serum Serum elicited dramatic gene expression responses related to insulin signaling Eight serum proteins were implicated in driving this transcriptional response
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Affiliation(s)
- Michael W. Saxton
- School of Biological Sciences, Washington State University, Pullman, WA 99163, USA
| | - Blair W. Perry
- School of Biological Sciences, Washington State University, Pullman, WA 99163, USA
| | | | - Shawn Trojahn
- School of Biological Sciences, Washington State University, Pullman, WA 99163, USA
| | - Alexia Gee
- School of Biological Sciences, Washington State University, Pullman, WA 99163, USA
| | - Anthony P. Brown
- School of Biological Sciences, Washington State University, Pullman, WA 99163, USA
| | | | - Jea Park
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Omar E. Cornejo
- School of Biological Sciences, Washington State University, Pullman, WA 99163, USA
| | - Michael J. MacCoss
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Charles T. Robbins
- School of Biological Sciences, Washington State University, Pullman, WA 99163, USA
- School of the Environment, Washington State University, Pullman, WA 99163, USA
| | - Heiko T. Jansen
- Department of Integrative Physiology and Neuroscience, Washington State University, Pullman, WA 99163, USA
| | - Joanna L. Kelley
- School of Biological Sciences, Washington State University, Pullman, WA 99163, USA
- Corresponding author
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172
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Reiter KH, Zelter A, Janowska MK, Riffle M, Shulman N, MacLean BX, Tamura K, Chambers MC, MacCoss MJ, Davis TN, Guttman M, Brzovic PS, Klevit RE. Cullin-independent recognition of HHARI substrates by a dynamic RBR catalytic domain. Structure 2022; 30:1269-1284.e6. [PMID: 35716664 PMCID: PMC9444911 DOI: 10.1016/j.str.2022.05.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 04/15/2022] [Accepted: 05/24/2022] [Indexed: 11/27/2022]
Abstract
RING-between-RING (RBR) E3 ligases mediate ubiquitin transfer through an obligate E3-ubiquitin thioester intermediate prior to substrate ubiquitination. Although RBRs share a conserved catalytic module, substrate recruitment mechanisms remain enigmatic, and the relevant domains have yet to be identified for any member of the class. Here we characterize the interaction between the auto-inhibited RBR, HHARI (AriH1), and its target protein, 4EHP, using a combination of XL-MS, HDX-MS, NMR, and biochemical studies. The results show that (1) a di-aromatic surface on the catalytic HHARI Rcat domain forms a binding platform for substrates and (2) a phosphomimetic mutation on the auto-inhibitory Ariadne domain of HHARI promotes release and reorientation of Rcat for transthiolation and substrate modification. The findings identify a direct binding interaction between a RING-between-RING ligase and its substrate and suggest a general model for RBR substrate recognition.
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Affiliation(s)
- Katherine H Reiter
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
| | - Alex Zelter
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
| | - Maria K Janowska
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
| | - Michael Riffle
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
| | - Nicholas Shulman
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Brendan X MacLean
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Kaipo Tamura
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Matthew C Chambers
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Michael J MacCoss
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Trisha N Davis
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
| | - Miklos Guttman
- Department of Medicinal Chemistry, University of Washington, Seattle, WA 98195, USA
| | - Peter S Brzovic
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
| | - Rachel E Klevit
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA.
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173
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Juhász A, Nye-Wood MG, Tanner GJ, Colgrave ML. Digestibility of wheat alpha-amylase/trypsin inhibitors using a caricain digestive supplement. Front Nutr 2022; 9:977206. [PMID: 36034932 PMCID: PMC9399795 DOI: 10.3389/fnut.2022.977206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 07/25/2022] [Indexed: 11/22/2022] Open
Abstract
Wheat is a major source of nutrition, though in susceptible people it can elicit inappropriate immune responses. Wheat allergy and non-celiac wheat sensitivity are caused by various wheat proteins, including alpha-amylase trypsin inhibitors (ATIs). These proteins, like the gluten proteins which can cause celiac disease, are incompletely digested in the stomach such that immunogenic epitopes reach the lower digestive system where they elicit the undesirable immune response. The only completely effective treatment for these immune reactions is to eliminate the food trigger from the diet, though inadvertent or accidental consumption can still cause debilitating symptoms in susceptible people. One approach used is to prevent the causal proteins from provoking an immune reaction by enhancing their digestion using digestive protease supplements that act in the stomach or intestine, cleaving them to prevent or quench the harmful immune response. In this study, a digestive supplement enriched in caricain, an enzyme naturally present in papaya latex originally designed to act against gluten proteins was assessed for its ability to digest wheat ATIs. The digestion efficiency was quantitatively measured using liquid chromatography-mass spectrometry, including examination of the cleavage sites and the peptide products. The peptide products were measured across a digestion time course under conditions that mimic gastric digestion in vivo, involving the use of pepsin uniquely or in combination with the supplement to test for additive effects. The detection of diverse cleavage sites in the caricain supplement-treated samples suggests the presence of several proteolytic enzymes that act synergistically. Caricain showed rapid action in vitro against known immunogenic ATIs, indicating its utility for digestion of wheat ATIs in the upper digestive tract.
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Affiliation(s)
- Angéla Juhász
- School of Science, Edith Cowan University, Joondalup, WA, Australia
| | | | - Gregory J Tanner
- School of Biosciences, University of Melbourne, Melbourne, VIC, Australia
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174
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Gnosa S, Puig-Blasco L, Piotrowski KB, Freiberg ML, Savickas S, Madsen DH, Auf dem Keller U, Kronqvist P, Kveiborg M. ADAM17-mediated EGFR ligand shedding directs macrophage promoted cancer cell invasion. JCI Insight 2022; 7:155296. [PMID: 35998057 DOI: 10.1172/jci.insight.155296] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 08/17/2022] [Indexed: 11/17/2022] Open
Abstract
Macrophages in the tumor microenvironment have a significant impact on tumor progression. Depending on the signaling environment in the tumor, macrophages can either support or constrain tumor progression. It is therefore of therapeutic interest to identify the tumor-derived factors that control macrophage education. With this aim, we correlated the expression of ADAM proteases, which are key mediators of cell-cell signaling, to the expression of pro-tumorigenic macrophage markers in human cancer cohorts. We identified ADAM17, a sheddase upregulated in many cancer types, as a protein of interest. Depletion of ADAM17 in cancer cell lines reduced the expression of several pro-tumorigenic markers in neighboring macrophages in vitro as well as in mouse models. Moreover, ADAM17-/- educated macrophages demonstrated a reduced ability to induce cancer cell invasion. Using mass spectrometry-based proteomics and ELISA, we identified HB-EGF and AREG, shed by ADAM17 in the cancer cells, as the implicated molecular mediators of macrophage education. Additionally, RNA-seq and ELISA experiments revealed that ADAM17-dependent HB-EGF-ligand release induces the expression and secretion of CXCL chemokines in macrophages, which in turn stimulates cancer cell invasion.In conclusion, we provide evidence that ADAM17 mediates a paracrine EGFR-ligand-chemokine feedback loop, whereby cancer cells hijack macrophages to promote tumor progression.
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Affiliation(s)
| | - Laia Puig-Blasco
- Biotech Research and Innovation Centre, Copenhagen University, Copenhagen, Denmark
| | | | - Marie L Freiberg
- Biotech Research and Innovation Centre, Copenhagen University, Copenhagen, Denmark
| | - Simonas Savickas
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Copenhagen, Denmark
| | - Daniel H Madsen
- Center for Cancer Immune Therapy (CCIT), Department of Haematology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Ulrich Auf dem Keller
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Copenhagen, Denmark
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175
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Manes NP, Calzola JM, Kaplan PR, Fraser IDC, Germain RN, Meier-Schellersheim M, Nita-Lazar A. Absolute protein quantitation of the mouse macrophage Toll-like receptor and chemotaxis pathways. Sci Data 2022; 9:491. [PMID: 35961990 PMCID: PMC9374760 DOI: 10.1038/s41597-022-01612-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 08/04/2022] [Indexed: 11/24/2022] Open
Abstract
The Toll-like receptor (TLR) and chemotaxis pathways are key components of the innate immune system. Subtle variation in the concentration, timing, and molecular structure of the ligands are known to affect downstream signaling and the resulting immune response. Computational modeling and simulation at the molecular interaction level can be used to study complex biological pathways, but such simulations require protein concentration values as model parameters. Here we report the development and application of targeted mass spectrometry assays to measure the absolute abundance of proteins of the mouse macrophage Toll-like receptor 4 (TLR4) and chemotaxis pathways. Two peptides per protein were quantified, if possible. The protein abundance values ranged from 1,332 to 227,000,000 copies per cell. They moderately correlated with transcript abundance values from a previously published mouse macrophage RNA-seq dataset, and these two datasets were combined to make proteome-wide abundance estimates. The datasets produced during this investigation can be used for pathway modeling and simulation, as well as for other studies of the TLR and chemotaxis pathways. Measurement(s) | molecules per cell | Technology Type(s) | nanoflow high-performance liquid chromatography-electrospray ionisation tandem mass spectrometry | Sample Characteristic - Organism | Mus musculus |
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Affiliation(s)
- Nathan P Manes
- Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Jessica M Calzola
- Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Pauline R Kaplan
- Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Iain D C Fraser
- Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Ronald N Germain
- Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Martin Meier-Schellersheim
- Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Aleksandra Nita-Lazar
- Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
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176
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Cook KC, Tsopurashvili E, Needham JM, Thompson SR, Cristea IM. Restructured membrane contacts rewire organelles for human cytomegalovirus infection. Nat Commun 2022; 13:4720. [PMID: 35953480 PMCID: PMC9366835 DOI: 10.1038/s41467-022-32488-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 07/30/2022] [Indexed: 12/24/2022] Open
Abstract
Membrane contact sites (MCSs) link organelles to coordinate cellular functions across space and time. Although viruses remodel organelles for their replication cycles, MCSs remain largely unexplored during infections. Here, we design a targeted proteomics platform for measuring MCS proteins at all organelles simultaneously and define functional virus-driven MCS alterations by the ancient beta-herpesvirus human cytomegalovirus (HCMV). Integration with super-resolution microscopy and comparisons to herpes simplex virus (HSV-1), Influenza A, and beta-coronavirus HCoV-OC43 infections reveals time-sensitive contact regulation that allows switching anti- to pro-viral organelle functions. We uncover a stabilized mitochondria-ER encapsulation structure (MENC). As HCMV infection progresses, MENCs become the predominant mitochondria-ER contact phenotype and sequentially recruit the tethering partners VAP-B and PTPIP51, supporting virus production. However, premature ER-mitochondria tethering activates STING and interferon response, priming cells against infection. At peroxisomes, ACBD5-mediated ER contacts balance peroxisome proliferation versus membrane expansion, with ACBD5 impacting the titers of each virus tested.
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Affiliation(s)
- Katelyn C Cook
- Department of Molecular Biology, Princeton University, Princeton, NJ, 08544, US
| | - Elene Tsopurashvili
- Department of Molecular Biology, Princeton University, Princeton, NJ, 08544, US
| | - Jason M Needham
- Department of Microbiology, University of Alabama Birmingham, Birmingham, AL, 35294, US
| | - Sunnie R Thompson
- Department of Microbiology, University of Alabama Birmingham, Birmingham, AL, 35294, US
| | - Ileana M Cristea
- Department of Molecular Biology, Princeton University, Princeton, NJ, 08544, US.
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177
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diaPASEF Proteomics and Feature Selection for the Description of Sputum Proteome Profiles in a Cohort of Different Subtypes of Lung Cancer Patients and Controls. Int J Mol Sci 2022; 23:ijms23158737. [PMID: 35955870 PMCID: PMC9369298 DOI: 10.3390/ijms23158737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 07/29/2022] [Accepted: 08/03/2022] [Indexed: 11/21/2022] Open
Abstract
The high mortality, the presence of an initial asymptomatic stage and the fact that diagnosis in early stages reduces mortality justify the implementation of screening programs in the populations at risk of lung cancer. It is imperative to develop less aggressive methods that can complement existing diagnosis technologies. In this study, we aimed to identify lung cancer protein biomarkers and pathways affected in sputum samples, using the recently developed diaPASEF mass spectrometry (MS) acquisition mode. The sputum proteome of lung cancer cases and controls was analyzed through nano-HPLC–MS using the diaPASEF mode. For functional analysis, the results from differential expression analysis were further analyzed in the STRING platform, and feature selection was performed using sparse partial least squares discriminant analysis (sPLS-DA). Our results showed an activation of inflammation, with an alteration of pathways and processes related to acute-phase, complement, and immune responses. The resulting sPLS-DA model separated between case and control groups with high levels of sensitivity and specificity. In conclusion, we showed how new-generation proteomics can be used to detect potential biomarkers in sputum samples, and ultimately to discriminate patients from controls and even to help to differentiate between different cancer subtypes.
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178
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Peng W, Rayaprolu V, Parvate AD, Pronker MF, Hui S, Parekh D, Shaffer K, Yu X, Saphire EO, Snijder J. Glycan shield of the ebolavirus envelope glycoprotein GP. Commun Biol 2022; 5:785. [PMID: 35927436 PMCID: PMC9352669 DOI: 10.1038/s42003-022-03767-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 07/25/2022] [Indexed: 11/09/2022] Open
Abstract
The envelope glycoprotein GP of the ebolaviruses is essential for host cell entry and the primary target of the host antibody response. GP is heavily glycosylated with up to 17 N-linked sites, numerous O-linked glycans in its disordered mucin-like domain (MLD), and three predicted C-linked mannosylation sites. Glycosylation is important for host cell attachment, GP stability and fusion activity, and shielding from neutralization by serum antibodies. Here, we use glycoproteomics to profile the site-specific glycosylation patterns of ebolavirus GP. We detect up to 16 unique O-linked glycosylation sites in the MLD, and two O-linked sites in the receptor-binding GP1 subunit. Multiple O-linked glycans are observed within N-linked glycosylation sequons, suggesting crosstalk between the two types of modifications. We confirmed C-mannosylation of W288 in full-length trimeric GP. We find complex glycosylation at the majority of N-linked sites, while the conserved sites N257 and especially N563 are enriched in unprocessed glycans, suggesting a role in host-cell attachment via DC-SIGN/L-SIGN. Our findings illustrate how N-, O-, and C-linked glycans together build the heterogeneous glycan shield of GP, guiding future immunological studies and functional interpretation of ebolavirus GP-antibody interactions. Site-specific N-, O-, and C-linked glycans are characterized in the ebolavirus envelope glycoprotein GP using mass spectrometry-based glycoproteomics.
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Affiliation(s)
- Weiwei Peng
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584, CH, Utrecht, The Netherlands
| | - Vamseedhar Rayaprolu
- Center for Infectious Disease and Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, 92037, USA.,Pacific Northwest Center for CryoEM, Portland, OR, 97225, USA
| | - Amar D Parvate
- Center for Infectious Disease and Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, 92037, USA.,Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Matti F Pronker
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584, CH, Utrecht, The Netherlands
| | - Sean Hui
- Center for Infectious Disease and Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, 92037, USA.,Molecular Microbiology and Microbial Pathogenesis Program, Washington University School of Medicine, Saint Louis, MO, 63108, USA
| | - Diptiben Parekh
- Center for Infectious Disease and Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, 92037, USA
| | - Kelly Shaffer
- Center for Infectious Disease and Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, 92037, USA.,Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Xiaoying Yu
- Center for Infectious Disease and Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, 92037, USA
| | - Erica O Saphire
- Center for Infectious Disease and Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, 92037, USA.,Department of Medicine, University of California, San Diego, La Jolla, CA, 92039, USA
| | - Joost Snijder
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584, CH, Utrecht, The Netherlands.
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179
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Sin WC, Lam HM, Ngai SM. Identification of Diverse Stress-Responsive Xylem Sap Peptides in Soybean. Int J Mol Sci 2022; 23:ijms23158641. [PMID: 35955768 PMCID: PMC9369194 DOI: 10.3390/ijms23158641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 07/29/2022] [Accepted: 08/02/2022] [Indexed: 02/04/2023] Open
Abstract
Increasing evidence has revealed that plant secretory peptides are involved in the long-distance signaling pathways that help to regulate plant development and signal stress responses. In this study, we purified small peptides from soybean (Glycine max) xylem sap via o-chlorophenol extraction and conducted an in-depth peptidomic analysis using a mass spectrometry (MS) and bioinformatics approach. We successfully identified 14 post-translationally modified peptide groups belonging to the peptide families CEP (C-terminally encoded peptides), CLE (CLAVATA3/embryo surrounding region-related), PSY (plant peptides containing tyrosine sulfation), and XAP (xylem sap-associated peptides). Quantitative PCR (qPCR) analysis showed unique tissue expression patterns among the peptide-encoding genes. Further qPCR analysis of some of the peptide-encoding genes showed differential stress-response profiles toward various abiotic stress factors. Targeted MS-based quantification of the nitrogen deficiency-responsive peptides, GmXAP6a and GmCEP-XSP1, demonstrated upregulation of peptide translocation in xylem sap under nitrogen-deficiency stress. Quantitative proteomic analysis of GmCEP-XSP1 overexpression in hairy soybean roots revealed that GmCEP-XSP1 significantly impacts stress response-related proteins. This study provides new insights that root-to-shoot peptide signaling plays important roles in regulating plant stress-response mechanisms.
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180
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Multiplexed quantification of insulin and C-peptide by LC-MS/MS without the use of antibodies. J Mass Spectrom Adv Clin Lab 2022; 25:19-26. [PMID: 35734440 PMCID: PMC9207678 DOI: 10.1016/j.jmsacl.2022.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 06/08/2022] [Accepted: 06/08/2022] [Indexed: 11/30/2022] Open
Abstract
Simultaneous quantification of insulin and C-peptide without antibodies. Proteolysis with Glu-C permits sensitive and precise measurements. Calibration with certified reference material provides traceability. Relatively large bias when compared with a commercially available immunoassay.
Introduction The measurement of insulin and C-peptide provides a valuable tool for the clinical evaluation of hypoglycemia. In research, these biomarkers are used together to better understand hyperinsulinemia, hepatic insulin clearance, and beta cell function. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is an attractive approach for the analysis of insulin and C-peptide because the platform is specific, can avoid certain limitations of immunoassays, and can be multiplexed. Previously described LC-MS/MS methods for the simultaneous quantification of insulin and C-peptide measure the intact analytes and most have relied on immunoaffinity enrichment. These approaches can be limited in terms of sensitivity and interference from auto-antibodies, respectively. We have developed a novel method that does not require antibodies and uses proteolytic digestion to yield readily ionizable proteotypic peptides that enables the sensitive, specific, and simultaneous quantitation of insulin and C-peptide. Methods Serum samples were precipitated with acetonitrile. Analytes were enriched using solid phase extraction and then digested with endoproteinase Glu-C. Surrogate peptides for insulin and C-peptide were analyzed using targeted LC-MS/MS. Results Inter-day imprecision was below 20 %CV and linearity was observed down to the lower limit of quantitation for both analytes (insulin = 0.09 ng/mL, C-peptide = 0.06 ng/mL). Comparison to a commercially available insulin immunoassay (Beckman Coulter UniCel DxI 600 Access) revealed a 30% bias between methods. Conclusion A novel LC-MS/MS method for the simultaneous analysis of insulin and C-peptide using Glu-C digestion was developed and evaluated. A detailed standard operating procedure is provided to help facilitate implementation in other laboratories.
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181
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Retrospective Longitudinal Monitoring of Multiple Myeloma Patients by Mass Spectrometry Using Archived Serum Protein Electrophoresis Gels and De Novo Sequence Analysis. Hemasphere 2022; 6:e758. [PMID: 35935609 PMCID: PMC9348860 DOI: 10.1097/hs9.0000000000000758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 07/03/2022] [Indexed: 11/26/2022] Open
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182
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Scheid R, Dowell JA, Sanders D, Jiang J, Denu JM, Zhong X. Histone Acid Extraction and High Throughput Mass Spectrometry to Profile Histone Modifications in Arabidopsis thaliana. Curr Protoc 2022; 2:e527. [PMID: 36001747 PMCID: PMC9429220 DOI: 10.1002/cpz1.527] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Histone post-translational modifications (PTMs) play important roles in many biological processes, including gene regulation and chromatin dynamics, and are thus of high interest across many fields of biological research. Chromatin immunoprecipitation coupled with sequencing (ChIP-seq) is a powerful tool to profile histone PTMs in vivo. This method, however, is largely dependent on the specificity and availability of suitable commercial antibodies. While mass spectrometry (MS)-based proteomic approaches to quantitatively measure histone PTMs have been developed in mammals and several other model organisms, such methods are currently not readily available in plants. One major challenge for the implementation of such methods in plants has been the difficulty in isolating sufficient amounts of pure, high-quality histones, a step rendered difficult by the presence of the cell wall. Here, we developed a high-yielding histone extraction and purification method optimized for Arabidopsis thaliana that can be used to obtain high-quality histones for MS. In contrast to other methods used in plants, this approach is relatively simple, and does not require membranes or additional specialized steps, such as gel excision or chromatography, to extract highly purified histones. We also describe methods for producing MS-ready histone peptides through chemical labeling and digestion. Finally, we describe an optimized method to quantify and analyze the resulting histone PTM data using a modified version of EpiProfile 2.0 for Arabidopsis. In all, the workflow described here can be used to measure changes to histone PTMs resulting from various treatments, stresses, and time courses, as well as in different mutant lines. © 2022 Wiley Periodicals LLC. Basic Protocol 1: Nuclear isolation and histone acid extraction Basic Protocol 2: Peptide labeling, digestion, and desalting Basic Protocol 3: Histone HPLC-MS/MS and data analysis.
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Affiliation(s)
- Ray Scheid
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Laboratory of Genetics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - James A. Dowell
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Dean Sanders
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Laboratory of Genetics, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Present address: Biotechnology Center, University of Wisconsin–Madison, Madison, Wisconsin, USA
| | - Jianjun Jiang
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Laboratory of Genetics, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Present address: State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng, Henan 475004, China
| | - John M. Denu
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Xuehua Zhong
- Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Laboratory of Genetics, University of Wisconsin-Madison, Madison, Wisconsin, USA
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183
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Huang Z, Tan J, Li Y, Miao S, Scotland KB, Chew BH, Lange D, Chen DDY. Migration time correction for dual pressure capillary electrophoresis in semi‐targeted metabolomics study. Electrophoresis 2022; 43:1626-1637. [DOI: 10.1002/elps.202100365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 03/23/2022] [Accepted: 05/16/2022] [Indexed: 11/10/2022]
Affiliation(s)
- Zi‐Ao Huang
- Department of Chemistry University of British Columbia Vancouver British Columbia Canada
| | - Jiahua Tan
- Department of Chemistry University of British Columbia Vancouver British Columbia Canada
| | - Yueyang Li
- Department of Chemistry University of British Columbia Vancouver British Columbia Canada
| | - Siyu Miao
- Department of Chemistry University of British Columbia Vancouver British Columbia Canada
| | - Kymora B. Scotland
- Department of Urology University of California, Los Angeles Los Angeles California USA
| | - Ben H. Chew
- Department of Urologic Sciences The Stone Centre at Vancouver General Hospital University of British Columbia Vancouver British Columbia Canada
| | - Dirk Lange
- Department of Urologic Sciences The Stone Centre at Vancouver General Hospital University of British Columbia Vancouver British Columbia Canada
| | - David D. Y. Chen
- Department of Chemistry University of British Columbia Vancouver British Columbia Canada
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184
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Rojas Echeverri JC, Volke D, Milkovska-Stamenova S, Hoffmann R. Evaluating Peptide Fragment Ion Detection Using Traveling Wave Ion Mobility Spectrometry with Signal-Enhanced MS E (SEMS E). Anal Chem 2022; 94:10930-10941. [PMID: 35904512 DOI: 10.1021/acs.analchem.2c00461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The inherent poor sampling of fragment ions in time-of-flight mass analyzers was recently improved for data-dependent acquisition (DDA) by considering their drift times in traveling wave ion mobility spectrometry (TWIMS). Here, we extend this TWIMS-DDA approach to the data-independent acquisition (DIA) mode MSE to improve the signal intensities of fragment ions by providing improved ion beam sampling efficiency, which we termed therefore signal-enhanced MSE (SEMSE). The theoretical expectation that SEMSE improves the number of identified peptides, the number of quantifiable peptides, and the lower limit of quantitation in wideband DIA was evaluated on an electrospray ionisation-ion mobility spectrometry-quadrupole-time-of-flight-MS (ESI-IMS-Q-TOF-MS) (Synapt G2-Si) in comparison to five established TWIMS-DDA and TWIMS-MSE methods with respect to the number of peptide identifications, the spectral quality of supporting peptide spectra matches, and (most importantly) fragment ion signal sensitivity. A comparison of the fragment signals clearly indicated that SEMSE provides 6.8- to 11.5-fold larger peak areas than established MSE techniques. While this clearly shows the advantages of SEMSE, the inherent limitations of the current software tools do not allow using all benefits in routine analyses. As the simultaneous fragmentation of co-eluting peptides limited peptide identification, DDA and MSE data sets were integrated using Skyline.
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Affiliation(s)
- Juan Camilo Rojas Echeverri
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Universität Leipzig, 04103 Leipzig, Germany.,Center for Biotechnology and Biomedicine, Universität Leipzig, 04103 Leipzig, Germany
| | - Daniela Volke
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Universität Leipzig, 04103 Leipzig, Germany.,Center for Biotechnology and Biomedicine, Universität Leipzig, 04103 Leipzig, Germany
| | - Sanja Milkovska-Stamenova
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Universität Leipzig, 04103 Leipzig, Germany.,Center for Biotechnology and Biomedicine, Universität Leipzig, 04103 Leipzig, Germany
| | - Ralf Hoffmann
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Universität Leipzig, 04103 Leipzig, Germany.,Center for Biotechnology and Biomedicine, Universität Leipzig, 04103 Leipzig, Germany
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185
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Yan S, Bhawal R, Yin Z, Thannhauser TW, Zhang S. Recent advances in proteomics and metabolomics in plants. MOLECULAR HORTICULTURE 2022; 2:17. [PMID: 37789425 PMCID: PMC10514990 DOI: 10.1186/s43897-022-00038-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 06/20/2022] [Indexed: 10/05/2023]
Abstract
Over the past decade, systems biology and plant-omics have increasingly become the main stream in plant biology research. New developments in mass spectrometry and bioinformatics tools, and methodological schema to integrate multi-omics data have leveraged recent advances in proteomics and metabolomics. These progresses are driving a rapid evolution in the field of plant research, greatly facilitating our understanding of the mechanistic aspects of plant metabolisms and the interactions of plants with their external environment. Here, we review the recent progresses in MS-based proteomics and metabolomics tools and workflows with a special focus on their applications to plant biology research using several case studies related to mechanistic understanding of stress response, gene/protein function characterization, metabolic and signaling pathways exploration, and natural product discovery. We also present a projection concerning future perspectives in MS-based proteomics and metabolomics development including their applications to and challenges for system biology. This review is intended to provide readers with an overview of how advanced MS technology, and integrated application of proteomics and metabolomics can be used to advance plant system biology research.
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Affiliation(s)
- Shijuan Yan
- Guangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Agro-biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Ruchika Bhawal
- Proteomics and Metabolomics Facility, Institute of Biotechnology, Cornell University, 139 Biotechnology Building, 526 Campus Road, Ithaca, NY, 14853, USA
| | - Zhibin Yin
- Guangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Agro-biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | | | - Sheng Zhang
- Proteomics and Metabolomics Facility, Institute of Biotechnology, Cornell University, 139 Biotechnology Building, 526 Campus Road, Ithaca, NY, 14853, USA.
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186
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Ebhardt HA, Ponchon P, Theodosiadis K, Fuerer C, Courtet-Compondu MC, O'Regan J, Affolter M, Joubran Y. Reduction of multiple reaction monitoring protein target list using correlation analysis. J Dairy Sci 2022; 105:7216-7229. [PMID: 35879160 DOI: 10.3168/jds.2021-21647] [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: 12/03/2021] [Accepted: 04/15/2022] [Indexed: 11/19/2022]
Abstract
High mass resolution mass spectrometry provides hundreds to thousands of protein identifications per sample, and quantification is typically performed using label-free quantification. However, the gold standard of quantitative proteomics is multiple reaction monitoring (MRM) using triple quadrupole mass spectrometers and stable isotope reference peptides. This raises the question how to reduce a large data set to a small one without losing essential information. Here we present the reduction of such a data set using correlation analysis of bovine dairy ingredients and derived products. We were able to explain the variance in the proteomics data set using only 9 proteins across all major dairy protein classes: caseins, whey, and milk fat globule membrane proteins. We term this method Trinity-MRM. The reproducibility of the protein extraction and Trinity-MRM methods was shown to be below 5% in independent experiments (multi-day single-user and single-day multi-user) using double cream. Further application of this reductionist approach might include screening of large sample cohorts for biologically interesting samples before analysis by high-resolution mass spectrometry or other omics methodologies.
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Affiliation(s)
- Holger A Ebhardt
- Nestlé Development Centre Nutrition, Askeaton, County Limerick, Ireland, V94 E7P9
| | - Pierre Ponchon
- Nestlé Development Centre Nutrition, Askeaton, County Limerick, Ireland, V94 E7P9
| | | | - Christophe Fuerer
- Société des Produits Nestlé, Nestlé Research, Route du Jorat 57, 1000 Lausanne 26, Switzerland
| | | | - Jonathan O'Regan
- Nestlé Development Centre Nutrition, Askeaton, County Limerick, Ireland, V94 E7P9
| | - Michael Affolter
- Société des Produits Nestlé, Nestlé Research, Route du Jorat 57, 1000 Lausanne 26, Switzerland
| | - Yousef Joubran
- Nestlé Development Centre Nutrition, Askeaton, County Limerick, Ireland, V94 E7P9.
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187
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Liu X, Mei W, Padmanaban V, Alwaseem H, Molina H, Passarelli MC, Tavora B, Tavazoie SF. A pro-metastatic tRNA fragment drives Nucleolin oligomerization and stabilization of its bound metabolic mRNAs. Mol Cell 2022; 82:2604-2617.e8. [PMID: 35654044 PMCID: PMC9444141 DOI: 10.1016/j.molcel.2022.05.008] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 04/04/2022] [Accepted: 05/05/2022] [Indexed: 01/09/2023]
Abstract
Stress-induced cleavage of transfer RNAs (tRNAs) into tRNA-derived fragments (tRFs) occurs across organisms from yeast to humans; yet, its mechanistic underpinnings and pathological consequences remain poorly defined. Small RNA profiling revealed increased abundance of a cysteine tRNA fragment (5'-tRFCys) during breast cancer metastatic progression. 5'-tRFCys was required for efficient breast cancer metastatic lung colonization and cancer cell survival. We identified Nucleolin as the direct binding partner of 5'-tRFCys. 5'-tRFCys promoted the oligomerization of Nucleolin and its bound metabolic transcripts Mthfd1l and Pafah1b1 into a higher-order transcript stabilizing ribonucleoprotein complex, which protected these transcripts from exonucleolytic degradation. Consistent with this, Mthfd1l and Pafah1b1 mediated pro-metastatic and metabolic effects downstream of 5'-tRFCys-impacting folate, one-carbon, and phosphatidylcholine metabolism. Our findings reveal that a tRF can promote oligomerization of an RNA-binding protein into a transcript stabilizing ribonucleoprotein complex, thereby driving specific metabolic pathways underlying cancer progression.
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Affiliation(s)
- Xuhang Liu
- Laboratory of Systems Cancer Biology, The Rockefeller University, New York, NY 10065, USA
| | - Wenbin Mei
- Laboratory of Systems Cancer Biology, The Rockefeller University, New York, NY 10065, USA
| | - Veena Padmanaban
- Laboratory of Systems Cancer Biology, The Rockefeller University, New York, NY 10065, USA
| | - Hanan Alwaseem
- Proteomics Resource Center, The Rockefeller University, New York, NY 10065, USA
| | - Henrik Molina
- Proteomics Resource Center, The Rockefeller University, New York, NY 10065, USA
| | - Maria C Passarelli
- Laboratory of Systems Cancer Biology, The Rockefeller University, New York, NY 10065, USA
| | - Bernardo Tavora
- Laboratory of Systems Cancer Biology, The Rockefeller University, New York, NY 10065, USA
| | - Sohail F Tavazoie
- Laboratory of Systems Cancer Biology, The Rockefeller University, New York, NY 10065, USA.
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188
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Shah SMZ, Ali A, Khan MN, Khadim A, Asmari M, Uddin J, Musharraf SG. Sensitive Detection of Pharmaceutical Drugs and Metabolites in Serum Using Data-Independent Acquisition Mass Spectrometry and Open-Access Data Acquisition Tools. Pharmaceuticals (Basel) 2022; 15:ph15070901. [PMID: 35890199 PMCID: PMC9317224 DOI: 10.3390/ph15070901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/07/2022] [Accepted: 07/11/2022] [Indexed: 12/19/2022] Open
Abstract
Data-independent acquisition (DIA) based strategies have been explored in recent years for improving quantitative analysis of metabolites. However, the data analysis is challenging for DIA methods as the resulting spectra are highly multiplexed. Thus, the DIA mode requires advanced software analysis to facilitate the data deconvolution process. We proposed a pipeline for quantitative profiling of pharmaceutical drugs and serum metabolites in DIA mode after comparing the results obtained from full-scan, Data-dependent acquisition (DDA) and DIA modes. using open-access software. Pharmaceutical drugs (10) were pooled in healthy human serum and analysed by LC-ESI-QTOF-MS. MS1 full-scan and Data-dependent (MS2) results were used for identification using MS-DIAL software while deconvolution of MS1/MS2 spectra in DIA mode was achieved by using Skyline software. The results of acquisition methods for quantitative analysis validated the remarkable analytical performance of the constructed workflow, proving it to be a sensitive and reproducible pipeline for biological complex fluids.
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Affiliation(s)
- Syed Muhammad Zaki Shah
- International Center for Chemical and Biological Sciences, H.E.J. Research Institute of Chemistry, University of Karachi, Karachi 75270, Pakistan; (S.M.Z.S.); (M.N.K.); (A.K.)
| | - Arslan Ali
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan
- Correspondence: or (A.A.); or or (S.G.M.); Tel.: +92-34819010-174 (A.A.); +92-34819010-134 (S.G.M.)
| | - Muhammad Noman Khan
- International Center for Chemical and Biological Sciences, H.E.J. Research Institute of Chemistry, University of Karachi, Karachi 75270, Pakistan; (S.M.Z.S.); (M.N.K.); (A.K.)
| | - Adeeba Khadim
- International Center for Chemical and Biological Sciences, H.E.J. Research Institute of Chemistry, University of Karachi, Karachi 75270, Pakistan; (S.M.Z.S.); (M.N.K.); (A.K.)
| | - Mufarreh Asmari
- Department of Pharmaceutical Chemistry, College of Pharmacy, Abha 62529, Saudi Arabia; (M.A.); (J.U.)
| | - Jalal Uddin
- Department of Pharmaceutical Chemistry, College of Pharmacy, Abha 62529, Saudi Arabia; (M.A.); (J.U.)
| | - Syed Ghulam Musharraf
- International Center for Chemical and Biological Sciences, H.E.J. Research Institute of Chemistry, University of Karachi, Karachi 75270, Pakistan; (S.M.Z.S.); (M.N.K.); (A.K.)
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan
- The Affiliated T.C.M Hospital of Southwest Medical University, Luzhou 646099, China
- Correspondence: or (A.A.); or or (S.G.M.); Tel.: +92-34819010-174 (A.A.); +92-34819010-134 (S.G.M.)
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189
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Kirkwood KI, Pratt BS, Shulman N, Tamura K, MacCoss MJ, MacLean BX, Baker ES. Utilizing Skyline to analyze lipidomics data containing liquid chromatography, ion mobility spectrometry and mass spectrometry dimensions. Nat Protoc 2022; 17:2415-2430. [PMID: 35831612 DOI: 10.1038/s41596-022-00714-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Accepted: 04/21/2022] [Indexed: 12/26/2022]
Abstract
Lipidomics studies suffer from analytical and annotation challenges because of the great structural similarity of many of the lipid species. To improve lipid characterization and annotation capabilities beyond those afforded by traditional mass spectrometry (MS)-based methods, multidimensional separation methods such as those integrating liquid chromatography, ion mobility spectrometry, collision-induced dissociation and MS (LC-IMS-CID-MS) may be used. Although LC-IMS-CID-MS and other multidimensional methods offer valuable hydrophobicity, structural and mass information, the files are also complex and difficult to assess. Thus, the development of software tools to rapidly process and facilitate confident lipid annotations is essential. In this Protocol Extension, we use the freely available, vendor-neutral and open-source software Skyline to process and annotate multidimensional lipidomic data. Although Skyline ( https://skyline.ms/skyline.url ) was established for targeted processing of LC-MS-based proteomics data, it has since been extended such that it can be used to analyze small-molecule data as well as data containing the IMS dimension. This protocol uses Skyline's recently expanded capabilities, including small-molecule spectral libraries, indexed retention time and ion mobility filtering, and provides a step-by-step description for importing data, predicting retention times, validating lipid annotations, exporting results and editing our manually validated 500+ lipid library. Although the time required to complete the steps outlined here varies on the basis of multiple factors such as dataset size and familiarity with Skyline, this protocol takes ~5.5 h to complete when annotations are rigorously verified for maximum confidence.
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Affiliation(s)
- Kaylie I Kirkwood
- Department of Chemistry, North Carolina State University, Raleigh, NC, USA
| | - Brian S Pratt
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Nicholas Shulman
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Kaipo Tamura
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Michael J MacCoss
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Brendan X MacLean
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Erin S Baker
- Department of Chemistry, North Carolina State University, Raleigh, NC, USA. .,Comparative Medicine Institute, North Carolina State University, Raleigh, NC, USA.
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190
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Perez-Riverol Y. Proteomic repository data submission, dissemination, and reuse: key messages. Expert Rev Proteomics 2022; 19:297-310. [PMID: 36529941 PMCID: PMC7614296 DOI: 10.1080/14789450.2022.2160324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
INTRODUCTION The creation of ProteomeXchange data workflows in 2012 transformed the field of proteomics, consisting of the standardization of data submission and dissemination and enabling the widespread reanalysis of public MS proteomics data worldwide. ProteomeXchange has triggered a growing trend toward public dissemination of proteomics data, facilitating the assessment, reuse, comparative analyses, and extraction of new findings from public datasets. By 2022, the consortium is integrated by PRIDE, PeptideAtlas, MassIVE, jPOST, iProX, and Panorama Public. AREAS COVERED Here, we review and discuss the current ecosystem of resources, guidelines, and file formats for proteomics data dissemination and reanalysis. Special attention is drawn to new exciting quantitative and post-translational modification-oriented resources. The challenges and future directions on data depositions including the lack of metadata and cloud-based and high-performance software solutions for fast and reproducible reanalysis of the available data are discussed. EXPERT OPINION The success of ProteomeXchange and the amount of proteomics data available in the public domain have triggered the creation and/or growth of other protein knowledgebase resources. Data reuse is a leading, active, and evolving field; supporting the creation of new formats, tools, and workflows to rediscover and reshape the public proteomics data.
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Affiliation(s)
- Yasset Perez-Riverol
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
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191
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Lima DA, Schuch RA, Salgueiro JS, Pintão MCT, Carvalho VM. Evaluation of Volumetric Absorptive Microsampling and Mass Spectrometry Data-Independent Acquisition of Hemoglobin-Related Clinical Markers. J Proteome Res 2022; 21:1816-1828. [PMID: 35770882 DOI: 10.1021/acs.jproteome.1c00892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Data-independent acquisition (DIA) allows comprehensive proteome coverage, while it also potentially works as a unified protocol to determine a multitude of proteins found in blood. Because of its high specificity, mass spectrometry may greatly reduce the interference observed in other assays to evaluate blood markers. Here, we combined DIA with volumetric absorptive microsampling (VAMS) and automated proteomics sample processing in a platform to assess clinical markers. As a proof of concept, we evaluated two hemoglobin-related biomarkers: the glycated hemoglobin (HbA1c) and hemoglobin (Hb) variants. HbA1c by DIA showed good correlation with the reference method, but method imprecision did not meet the quality requirement for this biomarker. We developed a strategy to identify Hb variants based on a customized database combined with a workflow for DIA data extraction and rigorous peptide evaluation. Data are available via ProteomeXchange with identifier PXD029918.
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Affiliation(s)
- Debora A Lima
- Chromatography Division, Fleury Group, 04344-070 São Paulo, São Paulo, Brazil.,Research and Development Division, Fleury Group, 04344-070 São Paulo, São Paulo, Brazil
| | - Rodrigo A Schuch
- Research and Development Division, Fleury Group, 04344-070 São Paulo, São Paulo, Brazil
| | - Jéssica S Salgueiro
- Chromatography Division, Fleury Group, 04344-070 São Paulo, São Paulo, Brazil
| | | | - Valdemir M Carvalho
- Research and Development Division, Fleury Group, 04344-070 São Paulo, São Paulo, Brazil.,Graduate Program in Pathophysiology and Toxicology, School of Pharmaceutical Sciences, University of São Paulo, 05508-000 São Paulo, São Paulo, Brazil
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192
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Bisinski DD, Gomes Castro I, Mari M, Walter S, Fröhlich F, Schuldiner M, González Montoro A. Cvm1 is a component of multiple vacuolar contact sites required for sphingolipid homeostasis. J Biophys Biochem Cytol 2022; 221:213309. [PMID: 35766971 PMCID: PMC9247719 DOI: 10.1083/jcb.202103048] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 04/05/2022] [Accepted: 06/13/2022] [Indexed: 02/03/2023] Open
Abstract
Membrane contact sites are specialized platforms formed between most organelles that enable them to exchange metabolites and influence the dynamics of each other. The yeast vacuole is a degradative organelle equivalent to the lysosome in higher eukaryotes with important roles in ion homeostasis and metabolism. Using a high-content microscopy screen, we identified Ymr160w (Cvm1, for contact of the vacuole membrane 1) as a novel component of three different contact sites of the vacuole: with the nuclear endoplasmic reticulum, the mitochondria, and the peroxisomes. At the vacuole-mitochondria contact site, Cvm1 acts as a tether independently of previously known tethers. We show that changes in Cvm1 levels affect sphingolipid homeostasis, altering the levels of multiple sphingolipid classes and the response of sphingolipid-sensing signaling pathways. Furthermore, the contact sites formed by Cvm1 are induced upon a decrease in sphingolipid levels. Altogether, our work identifies a novel protein that forms multiple contact sites and supports a role of lysosomal contacts in sphingolipid homeostasis.
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Affiliation(s)
- Daniel D. Bisinski
- Department of Biology/Chemistry, Cellular Communication Laboratory, University of Osnabrück, Osnabrück, Germany
| | - Inês Gomes Castro
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Muriel Mari
- Department of Biomedical Sciences of Cells and Systems, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Stefan Walter
- Center of Cellular Nanoanalytics Osnabrück, Osnabrück, Germany
| | - Florian Fröhlich
- Center of Cellular Nanoanalytics Osnabrück, Osnabrück, Germany,Department of Biology/Chemistry, Molecular Membrane Biology Group, University of Osnabrück, Osnabrück, Germany
| | - Maya Schuldiner
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Ayelén González Montoro
- Department of Biology/Chemistry, Cellular Communication Laboratory, University of Osnabrück, Osnabrück, Germany,Center of Cellular Nanoanalytics Osnabrück, Osnabrück, Germany
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193
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DeLaney K, Jia D, Iyer L, Yu Z, Choi SB, Marvar PJ, Nemes P. Microanalysis of Brain Angiotensin Peptides Using Ultrasensitive Capillary Electrophoresis Trapped Ion Mobility Mass Spectrometry. Anal Chem 2022; 94:9018-9025. [PMID: 35696295 DOI: 10.1021/acs.analchem.2c01062] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
While the role of the renin-angiotensin system (RAS) in peripheral circulation is well characterized, we still lack an in-depth understanding of its role within the brain. This knowledge gap is sustained by lacking technologies for trace-level angiotensin detection throughout tissues, such as the brain. To provide a bridging solution, we enhanced capillary electrophoresis (CE) nanoflow electrospray ionization (ESI) with large-volume sample stacking and employed trapped ion mobility time-of-flight (timsTOF) tandem HRMS detection. A dynamic pH junction helped stack approximately 10 times more of the sample than optimal using the field-amplified reference. In conjunction, the efficiency of ion generation was maximized by a cone-jet nanospray on a low sheath-flow tapered-tip nano-electrospray emitter. The platform provided additional peptide-dependent information, the collision cross section, to filter chemical noise and improve sequence identification and detection limits. The lower limit of detection reached sub-picomolar or ∼30 zmol (∼18,000 copies) level. All nine targeted angiotensin peptides in mouse tissue samples were detectable and quantifiable from the paraventricular nucleus (PVN) of the hypothalamus even after removal of circulatory blood components (perfusion). We anticipate CE-ESI with timsTOF HRMS to be broadly applicable for the ultrasensitive detection of brain peptidomes in pursuit of a better understanding of the brain.
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Affiliation(s)
- Kellen DeLaney
- Department of Chemistry & Biochemistry, University of Maryland, 8051 Regents Drive, College Park, Maryland 20742, United States
| | - Dashuang Jia
- Department of Chemistry & Biochemistry, University of Maryland, 8051 Regents Drive, College Park, Maryland 20742, United States
| | - Laxmi Iyer
- Department of Pharmacology & Physiology, School of Medicine and Health Sciences, The George Washington University, Washington, D.C. 20037, United States
| | - Zhe Yu
- Department of Pharmacology & Physiology, School of Medicine and Health Sciences, The George Washington University, Washington, D.C. 20037, United States
| | - Sam B Choi
- Department of Chemistry & Biochemistry, University of Maryland, 8051 Regents Drive, College Park, Maryland 20742, United States
| | - Paul J Marvar
- Department of Pharmacology & Physiology, School of Medicine and Health Sciences, The George Washington University, Washington, D.C. 20037, United States
| | - Peter Nemes
- Department of Chemistry & Biochemistry, University of Maryland, 8051 Regents Drive, College Park, Maryland 20742, United States
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194
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Saiz-Fernández I, Đorđević B, Kerchev P, Černý M, Jung T, Berka M, Fu CH, Horta Jung M, Brzobohatý B. Differences in the Proteomic and Metabolomic Response of Quercus suber and Quercus variabilis During the Early Stages of Phytophthora cinnamomi Infection. Front Microbiol 2022; 13:894533. [PMID: 35770156 PMCID: PMC9234522 DOI: 10.3389/fmicb.2022.894533] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 05/11/2022] [Indexed: 12/23/2022] Open
Abstract
Phytophthora cinnamomi Rands is a cosmopolite pathogen of woody plants which during the last couple of centuries has spread all over the world from its center of origin in Southeast Asia. In contrast to Chinese cork oak (Quercus variabilis Blume) forests native to Asia, which are generally healthy despite the presence of the pathogen, the populations of Cork oaks (Quercus suber L.) in Europe have been severely decimated by P. cinnamomi. The present study aims at identifying the differences in the early proteomic and metabolomic response of these two tree species that lead to their differences in susceptibility to P. cinnamomi. By using micropropagated clonal plants, we tried to minimize the plant-to-plant differences in the defense response that is maximized by the high intraspecific genetic variability inherent to the Quercus genus. The evolution on the content of Phytophthora proteins in the roots during the first 36 h after inoculation suggests a slower infection process in Q. variabilis plants. These plants displayed a significant decrease in sugars in the roots, together with a downregulation of proteins related to carbon metabolism. In the leaves, the biggest changes in proteomic profiling were observed 16 h after inoculation, and included increased abundance of peroxidases, superoxide dismutases and glutathione S-transferases in Q. variabilis plants, which probably contributed to decrease its susceptibility to P. cinnamomi.
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Affiliation(s)
- Iñigo Saiz-Fernández
- Department of Molecular Biology and Radiobiology, Faculty of AgriSciences, Phytophthora Research Centre, Mendel University in Brno, Brno, Czechia
| | - Biljana Đorđević
- Department of Forest Protection and Wildlife Management, Faculty of Forestry and Wood Technology, Phytophthora Research Centre, Mendel University in Brno, Brno, Czechia
| | - Pavel Kerchev
- Department of Molecular Biology and Radiobiology, Faculty of AgriSciences, Phytophthora Research Centre, Mendel University in Brno, Brno, Czechia
| | - Martin Černý
- Department of Molecular Biology and Radiobiology, Faculty of AgriSciences, Phytophthora Research Centre, Mendel University in Brno, Brno, Czechia
| | - Thomas Jung
- Department of Forest Protection and Wildlife Management, Faculty of Forestry and Wood Technology, Phytophthora Research Centre, Mendel University in Brno, Brno, Czechia
| | - Miroslav Berka
- Department of Molecular Biology and Radiobiology, Faculty of AgriSciences, Phytophthora Research Centre, Mendel University in Brno, Brno, Czechia
| | - Chuen-Hsu Fu
- Forest Protection Division, Taiwan Forestry Research Institute, Taipei, Taiwan
| | - Marília Horta Jung
- Department of Forest Protection and Wildlife Management, Faculty of Forestry and Wood Technology, Phytophthora Research Centre, Mendel University in Brno, Brno, Czechia
| | - Břetislav Brzobohatý
- Department of Molecular Biology and Radiobiology, Faculty of AgriSciences, Phytophthora Research Centre, Mendel University in Brno, Brno, Czechia
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195
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Chen SY, Wu AY, Lunde R, Lai JJ. Osmotic Processor for Enabling Sensitive and Rapid Biomarker Detection via Lateral Flow Assays. Front Bioeng Biotechnol 2022; 10:884271. [PMID: 35721843 PMCID: PMC9199386 DOI: 10.3389/fbioe.2022.884271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 04/19/2022] [Indexed: 11/13/2022] Open
Abstract
Urine is an attractive biospecimen for in vitro diagnostics, and urine-based lateral flow assays are low-cost devices suitable for point-of-care testing, particularly in low-resource settings. However, some of the lateral flow assays exhibit limited diagnostic utility because the urinary biomarker concentration is significantly lower than the assay detection limit, which compromises the sensitivity. To address the challenge, we developed an osmotic processor that statically and spontaneously concentrated biomarkers. The specimen in the device interfaces with the aqueous polymer solution via a dialysis membrane. The polymer solution induces an osmotic pressure difference that extracts water from the specimen, while the membrane retains the biomarkers. The evaluation demonstrated that osmosis induced by various water-soluble polymers efficiently extracted water from the specimens, ca. 5–15 ml/h. The osmotic processor concentrated the specimens to improve the lateral flow assays’ detection limits for the model analytes—human chorionic gonadotropin and SARS-CoV-2 nucleocapsid protein. After the treatment via the osmotic processor, the lateral flow assays detected the corresponding biomarkers in the concentrated specimens. The test band intensities of the assays with the concentrated specimens were very similar to the reference assays with 100-fold concentrations. The mass spectrometry analysis estimated the SARS-CoV-2 nucleocapsid protein concentration increased ca. 200-fold after the osmosis. With its simplicity and flexibility, this device demonstrates a great potential to be utilized in conjunction with the existing lateral flow assays for enabling highly sensitive detection of dilute target analytes in urine.
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Affiliation(s)
- Sheng-You Chen
- Department of Mechanical Engineering, University of Washington, Seattle, WA, United States
| | - Abe Y. Wu
- Department of Bioengineering, University of Washington, Seattle, WA, United States
| | - Ruby Lunde
- Department of Bioengineering, University of Washington, Seattle, WA, United States
| | - James J. Lai
- Department of Bioengineering, University of Washington, Seattle, WA, United States
- *Correspondence: James J. Lai,
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196
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Skowronek P, Meier F. High-Throughput Mass Spectrometry-Based Proteomics with dia-PASEF. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2022; 2456:15-27. [PMID: 35612732 DOI: 10.1007/978-1-0716-2124-0_2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Ion mobility separation is becoming an integral part in mass spectrometry-based proteomics. Here we describe the use of a trapped ion mobility-quadrupole time-of-flight (TIMS-QTOF) mass spectrometer for high-throughput label-free quantification with data-independent acquisition. The parallel accumulation-serial fragmentation (PASEF) operation mode positions the mass-selecting quadrupole as a function of the TIMS separation, which allows highly efficient data-independent acquisition schemes (dia-PASEF), but also increases complexity in the method design. We provide a step-by-step protocol for instrument setup, method design, data acquisition and ion mobility-aware, library-based data analysis with Spectronaut. We highlight key acquisition parameters and illustrate their optimization for short gradients. Using the EvosepOne liquid chromatography system, we demonstrate expected results for the analysis of a human cancer cell line at a throughput of 60 samples per day, leading to the quantification of about 6000 protein groups with very high reproducibility. Importantly, the protocol can be readily adapted to other gradients and sample types such as modified peptides.
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Affiliation(s)
- Patricia Skowronek
- Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Florian Meier
- Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany. .,Functional Proteomics, Jena University Hospital, Jena, Germany.
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197
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Kim C, Wang X, Kültz D. Prediction and Experimental Validation of a New Salinity-Responsive Cis-Regulatory Element (CRE) in a Tilapia Cell Line. Life (Basel) 2022; 12:life12060787. [PMID: 35743818 PMCID: PMC9225295 DOI: 10.3390/life12060787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/12/2022] [Accepted: 05/16/2022] [Indexed: 11/16/2022] Open
Abstract
Transcriptional regulation is a major mechanism by which organisms integrate gene x environment interactions. It can be achieved by coordinated interplay between cis-regulatory elements (CREs) and transcription factors (TFs). Euryhaline tilapia (Oreochromis mossambicus) tolerate a wide range of salinity and thus are an appropriate model to examine transcriptional regulatory mechanisms during salinity stress in fish. Quantitative proteomics in combination with the transcription inhibitor actinomycin D revealed 19 proteins that are transcriptionally upregulated by hyperosmolality in tilapia brain (OmB) cells. We searched the extended proximal promoter up to intron1 of each corresponding gene for common motifs using motif discovery tools. The top-ranked motif identified (STREME1) represents a binding site for the Forkhead box TF L1 (FoxL1). STREME1 function during hyperosmolality was experimentally validated by choosing two of the 19 genes, chloride intracellular channel 2 (clic2) and uridine phosphorylase 1 (upp1), that are enriched in STREME1 in their extended promoters. Transcriptional induction of these genes during hyperosmolality requires STREME1, as evidenced by motif mutagenesis. We conclude that STREME1 represents a new functional CRE that contributes to gene x environment interactions during salinity stress in tilapia. Moreover, our results indicate that FoxL1 family TFs are contribute to hyperosmotic induction of genes in euryhaline fish.
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Affiliation(s)
- Chanhee Kim
- Stress-Induced Evolution Laboratory, Department of Animal Sciences, University of California, Davis, CA 95616, USA;
| | - Xiaodan Wang
- Laboratory of Aquaculture Nutrition and Environmental Health, School of Life Sciences, East China Normal University, Shanghai 200241, China;
| | - Dietmar Kültz
- Stress-Induced Evolution Laboratory, Department of Animal Sciences, University of California, Davis, CA 95616, USA;
- Correspondence: ; Tel.: +1-530-752-2991
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198
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Bartolec TK, Hamey JJ, Keller A, Chavez JD, Bruce JE, Wilkins MR. Differential Proteome and Interactome Analysis Reveal the Basis of Pleiotropy Associated With the Histidine Methyltransferase Hpm1p. Mol Cell Proteomics 2022; 21:100249. [PMID: 35609787 PMCID: PMC9234706 DOI: 10.1016/j.mcpro.2022.100249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 03/28/2022] [Accepted: 05/19/2022] [Indexed: 10/31/2022] Open
Abstract
The methylation of histidine is a post-translational modification whose function is poorly understood. Methyltransferase histidine protein methyltransferase 1 (Hpm1p) monomethylates H243 in the ribosomal protein Rpl3p and represents the only known histidine methyltransferase in Saccharomyces cerevisiae. Interestingly, the hpm1 deletion strain is highly pleiotropic, with many extraribosomal phenotypes including improved growth rates in alternative carbon sources. Here, we investigate how the loss of histidine methyltransferase Hpm1p results in diverse phenotypes, through use of targeted mass spectrometry (MS), growth assays, quantitative proteomics, and differential crosslinking MS. We confirmed the localization and stoichiometry of the H243 methylation site, found unreported sensitivities of Δhpm1 yeast to nonribosomal stressors, and identified differentially abundant proteins upon hpm1 knockout with clear links to the coordination of sugar metabolism. We adapted the emerging technique of quantitative large-scale stable isotope labeling of amino acids in cell culture crosslinking MS for yeast, which resulted in the identification of 1267 unique in vivo lysine-lysine crosslinks. By reproducibly monitoring over 350 of these in WT and Δhpm1, we detected changes to protein structure or protein-protein interactions in the ribosome, membrane proteins, chromatin, and mitochondria. Importantly, these occurred independently of changes in protein abundance and could explain a number of phenotypes of Δhpm1, not addressed by expression analysis. Further to this, some phenotypes were predicted solely from changes in protein structure or interactions and could be validated by orthogonal techniques. Taken together, these studies reveal a broad role for Hpm1p in yeast and illustrate how crosslinking MS will be an essential tool for understanding complex phenotypes.
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Affiliation(s)
- Tara K Bartolec
- Systems Biology Initiative, School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Randwick, New South Wales, Australia
| | - Joshua J Hamey
- Systems Biology Initiative, School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Randwick, New South Wales, Australia
| | - Andrew Keller
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - Juan D Chavez
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - James E Bruce
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - Marc R Wilkins
- Systems Biology Initiative, School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Randwick, New South Wales, Australia.
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199
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Fröhlich K, Brombacher E, Fahrner M, Vogele D, Kook L, Pinter N, Bronsert P, Timme-Bronsert S, Schmidt A, Bärenfaller K, Kreutz C, Schilling O. Benchmarking of analysis strategies for data-independent acquisition proteomics using a large-scale dataset comprising inter-patient heterogeneity. Nat Commun 2022; 13:2622. [PMID: 35551187 PMCID: PMC9098472 DOI: 10.1038/s41467-022-30094-0] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 04/14/2022] [Indexed: 12/25/2022] Open
Abstract
Numerous software tools exist for data-independent acquisition (DIA) analysis of clinical samples, necessitating their comprehensive benchmarking. We present a benchmark dataset comprising real-world inter-patient heterogeneity, which we use for in-depth benchmarking of DIA data analysis workflows for clinical settings. Combining spectral libraries, DIA software, sparsity reduction, normalization, and statistical tests results in 1428 distinct data analysis workflows, which we evaluate based on their ability to correctly identify differentially abundant proteins. From our dataset, we derive bootstrap datasets of varying sample sizes and use the whole range of bootstrap datasets to robustly evaluate each workflow. We find that all DIA software suites benefit from using a gas-phase fractionated spectral library, irrespective of the library refinement used. Gas-phase fractionation-based libraries perform best against two out of three reference protein lists. Among all investigated statistical tests non-parametric permutation-based statistical tests consistently perform best. Data independent acquisition (DIA) has been gaining momentum in clinical proteomics. Here, the authors create a benchmark dataset comprising inter-patient heterogeneity to compare popular DIA data analysis workflows for identifying differentially abundant proteins.
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Affiliation(s)
- Klemens Fröhlich
- Institute for Surgical Pathology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.,Faculty of Biology, University of Freiburg, Freiburg im Breisgau, Germany.,Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Freiburg im Breisgau, Germany
| | - Eva Brombacher
- Faculty of Biology, University of Freiburg, Freiburg im Breisgau, Germany.,Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Freiburg im Breisgau, Germany.,Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg im Breisgau, Germany.,Centre for Integrative Biological Signaling Studies (CIBSS), University of Freiburg, Freiburg im Breisgau, Germany
| | - Matthias Fahrner
- Institute for Surgical Pathology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.,Faculty of Biology, University of Freiburg, Freiburg im Breisgau, Germany.,Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Freiburg im Breisgau, Germany
| | - Daniel Vogele
- Institute for Surgical Pathology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.,Faculty of Biology, University of Freiburg, Freiburg im Breisgau, Germany
| | - Lucas Kook
- Epidemiology, Biostatistics & Prevention Institute, University of Zurich, Zurich, Switzerland.,Institute for Data Analysis and Process Design, Zurich University of Applied Sciences, Winterthur, Switzerland
| | - Niko Pinter
- Institute for Surgical Pathology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Peter Bronsert
- Institute for Surgical Pathology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany.,Tumorbank Comprehensive Cancer Center Freiburg, Medical Center University of Freiburg, Freiburg im Breisgau, Germany
| | - Sylvia Timme-Bronsert
- Institute for Surgical Pathology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.,Tumorbank Comprehensive Cancer Center Freiburg, Medical Center University of Freiburg, Freiburg im Breisgau, Germany
| | - Alexander Schmidt
- Proteomics Core Facility, Biozentrum, University of Basel, Basel, Switzerland
| | - Katja Bärenfaller
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, and Swiss Institute of Bioinformatics (SIB), Wolfgang, Switzerland
| | - Clemens Kreutz
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg im Breisgau, Germany.,Centre for Integrative Biological Signaling Studies (CIBSS), University of Freiburg, Freiburg im Breisgau, Germany
| | - Oliver Schilling
- Institute for Surgical Pathology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany. .,German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany. .,BIOSS Centre for Biological Signaling Studies, University of Freiburg, Freiburg im Breisgau, Germany.
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200
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Rodriguez-Ruiz A, Braun D, Pflug S, Brol A, Sylvester M, Steegborn C, Schweizer U. Insights into the Mechanism of Human Deiodinase 1. Int J Mol Sci 2022; 23:5361. [PMID: 35628173 PMCID: PMC9141512 DOI: 10.3390/ijms23105361] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 05/03/2022] [Accepted: 05/09/2022] [Indexed: 02/07/2023] Open
Abstract
The three isoenzymes of iodothyronine deiodinases (DIO1-3) are membrane-anchored homo-dimeric selenoproteins which share the thioredoxin-fold structure. Several questions regarding their catalytic mechanisms still remain open. Here, we addressed the roles of several cysteines which are conserved among deiodinase isoenzymes and asked whether they may contribute to dimerization and reduction of the oxidized enzyme with physiological reductants. We also asked whether amino acids previously identified in DIO3 play the same role in DIO1. Human DIO1 and 2 were recombinantly expressed in insect cells with selenocysteine replaced with cysteine (DIO1U126C) or in COS7 cells as selenoprotein. Enzyme activities were studied by radioactive deiodination assays with physiological reducing agents and recombinant proteins were characterized by mass spectrometry. Mutation of Cys124 in DIO1 prevented reduction by glutathione, while 20 mM dithiothreitol still regenerated the enzyme. Protein thiol reductants, thioredoxin and glutaredoxin, did not reduce DIO1U126C. Mass spectrometry demonstrated the formation of an intracellular disulfide between the side-chains of Cys124 and Cys(Sec)126. We conclude that the proximal Cys124 forms a selenenyl-sulfide with the catalytic Sec126 during catalysis, which is the substrate of the physiological reductant glutathione. Mutagenesis studies support the idea of a proton-relay pathway from solvent to substrate that is shared between DIO1 and DIO3.
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Affiliation(s)
- Alfonso Rodriguez-Ruiz
- Institut für Biochemie und Molekularbiologie, Universitätsklinikum Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53115 Bonn, Germany; (A.R.-R.); (D.B.); (S.P.); (A.B.)
| | - Doreen Braun
- Institut für Biochemie und Molekularbiologie, Universitätsklinikum Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53115 Bonn, Germany; (A.R.-R.); (D.B.); (S.P.); (A.B.)
| | - Simon Pflug
- Institut für Biochemie und Molekularbiologie, Universitätsklinikum Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53115 Bonn, Germany; (A.R.-R.); (D.B.); (S.P.); (A.B.)
| | - Alexander Brol
- Institut für Biochemie und Molekularbiologie, Universitätsklinikum Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53115 Bonn, Germany; (A.R.-R.); (D.B.); (S.P.); (A.B.)
| | - Marc Sylvester
- Core Facility Mass Spectrometry, Universitätsklinikum Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53115 Bonn, Germany;
| | | | - Ulrich Schweizer
- Institut für Biochemie und Molekularbiologie, Universitätsklinikum Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53115 Bonn, Germany; (A.R.-R.); (D.B.); (S.P.); (A.B.)
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