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Phung TK, Berndsen K, Shastry R, Phan TLCHB, Muqit MMK, Alessi DR, Nirujogi RS. CURTAIN-A unique web-based tool for exploration and sharing of MS-based proteomics data. Proc Natl Acad Sci U S A 2024; 121:e2312676121. [PMID: 38324566 PMCID: PMC10873628 DOI: 10.1073/pnas.2312676121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 12/14/2023] [Indexed: 02/09/2024] Open
Abstract
To facilitate analysis and sharing of mass spectrometry (MS)-based proteomics data, we created online tools called CURTAIN (https://curtain.proteo.info) and CURTAIN-PTM (https://curtainptm.proteo.info) with an accompanying series of video tutorials (https://www.youtube.com/@CURTAIN-me6hl). These are designed to enable non-MS experts to interactively peruse volcano plots and deconvolute primary experimental data so that replicates can be visualized in bar charts or violin plots and exported in publication-ready format. They also allow assessment of overall experimental quality by correlation matrix and profile plot analysis. After making a selection of protein "hits", the user can analyze known domain structure, AlphaFold predicted structure, reported interactors, relative expression as well as disease links. CURTAIN-PTM permits analysis of all identified PTM sites on protein(s) of interest with selected databases. CURTAIN-PTM also links with the Kinase Library to predict upstream kinases that may phosphorylate sites of interest. We provide examples of the utility of CURTAIN and CURTAIN-PTM in analyzing how targeted degradation of the PPM1H Rab phosphatase that counteracts the Parkinson's LRRK2 kinase impacts cellular protein levels and phosphorylation sites. We also reanalyzed a ubiquitylation dataset, characterizing the PINK1-Parkin pathway activation in primary neurons, revealing data of interest not highlighted previously. CURTAIN and CURTAIN-PTM are free to use and open source, enabling researchers to share and maximize the impact of their proteomics data. We advocate that MS data published in volcano plot format be reported containing a shareable CURTAIN weblink, thereby allowing readers to better analyze and exploit the data.
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Affiliation(s)
- Toan K. Phung
- Medical Research Council Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, DundeeDD1 5EH, United Kingdom
- Aligning Science Across Parkinson’s Collaborative Research Network, Chevy Chase, MD20815
| | - Kerryn Berndsen
- Medical Research Council Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, DundeeDD1 5EH, United Kingdom
- Aligning Science Across Parkinson’s Collaborative Research Network, Chevy Chase, MD20815
| | - Rosamund Shastry
- Medical Research Council Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, DundeeDD1 5EH, United Kingdom
- Aligning Science Across Parkinson’s Collaborative Research Network, Chevy Chase, MD20815
| | - Tran L. C. H. B. Phan
- Medical Research Council Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, DundeeDD1 5EH, United Kingdom
| | - Miratul M. K. Muqit
- Medical Research Council Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, DundeeDD1 5EH, United Kingdom
- Aligning Science Across Parkinson’s Collaborative Research Network, Chevy Chase, MD20815
| | - Dario R. Alessi
- Medical Research Council Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, DundeeDD1 5EH, United Kingdom
- Aligning Science Across Parkinson’s Collaborative Research Network, Chevy Chase, MD20815
| | - Raja S. Nirujogi
- Medical Research Council Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, DundeeDD1 5EH, United Kingdom
- Aligning Science Across Parkinson’s Collaborative Research Network, Chevy Chase, MD20815
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Pal P, Taylor M, Lam PY, Tonelli F, Hecht CA, Lis P, Nirujogi RS, Phung TK, Yeshaw WM, Jaimon E, Fasimoye R, Dickie EA, Wightman M, Macartney T, Pfeffer SR, Alessi DR. Parkinson's VPS35[D620N] mutation induces LRRK2-mediated lysosomal association of RILPL1 and TMEM55B. Sci Adv 2023; 9:eadj1205. [PMID: 38091401 PMCID: PMC10848721 DOI: 10.1126/sciadv.adj1205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 11/13/2023] [Indexed: 12/18/2023]
Abstract
We demonstrate that the Parkinson's VPS35[D620N] mutation alters the expression of ~220 lysosomal proteins and stimulates recruitment and phosphorylation of Rab proteins at the lysosome. This recruits the phospho-Rab effector protein RILPL1 to the lysosome where it binds to the lysosomal integral membrane protein TMEM55B. We identify highly conserved regions of RILPL1 and TMEM55B that interact and design mutations that block binding. In mouse fibroblasts, brain, and lung, we demonstrate that the VPS35[D620N] mutation reduces RILPL1 levels, in a manner reversed by LRRK2 inhibition and proteasome inhibitors. Knockout of RILPL1 enhances phosphorylation of Rab substrates, and knockout of TMEM55B increases RILPL1 levels. The lysosomotropic agent LLOMe also induced LRRK2 kinase-mediated association of RILPL1 to the lysosome, but to a lower extent than the D620N mutation. Our study uncovers a pathway through which dysfunctional lysosomes resulting from the VPS35[D620N] mutation recruit and activate LRRK2 on the lysosomal surface, driving assembly of the RILPL1-TMEM55B complex.
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Affiliation(s)
- Prosenjit Pal
- MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA
| | - Matthew Taylor
- MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Pui Yiu Lam
- MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA
| | - Francesca Tonelli
- MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA
| | - Chloe A. Hecht
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305-5307, USA
| | - Pawel Lis
- MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA
| | - Raja S. Nirujogi
- MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA
| | - Toan K. Phung
- MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA
| | - Wondwossen M. Yeshaw
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305-5307, USA
| | - Ebsy Jaimon
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305-5307, USA
| | - Rotimi Fasimoye
- MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA
| | - Emily A. Dickie
- MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA
| | - Melanie Wightman
- MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Thomas Macartney
- MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Suzanne R. Pfeffer
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305-5307, USA
| | - Dario R. Alessi
- MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA
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Rodríguez‐Ruiz L, Lozano‐Gil JM, Naranjo‐Sánchez E, Martínez‐Balsalobre E, Martínez‐López A, Lachaud C, Blanquer M, Phung TK, García‐Moreno D, Cayuela ML, Tyrkalska SD, Pérez‐Oliva AB, Mulero V. ZAKα/P38 kinase signaling pathway regulates hematopoiesis by activating the NLRP1 inflammasome. EMBO Mol Med 2023; 15:e18142. [PMID: 37675820 PMCID: PMC10565642 DOI: 10.15252/emmm.202318142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 08/16/2023] [Accepted: 08/22/2023] [Indexed: 09/08/2023] Open
Abstract
Chronic inflammatory diseases are associated with hematopoietic lineage bias, including neutrophilia and anemia. We have recently identified that the canonical inflammasome mediates the cleavage of the master erythroid transcription factor GATA1 in hematopoietic stem and progenitor cells (HSPCs). We report here that genetic inhibition of Nlrp1 resulted in reduced number of neutrophils and increased erythrocyte counts in zebrafish larvae. We also found that the NLRP1 inflammasome in human cells was inhibited by LRRFIP1 and FLII, independently of DPP9, and both inhibitors regulated hematopoiesis. Mechanistically, erythroid differentiation resulted in ribosomal stress-induced activation of the ZAKα/P38 kinase axis which, in turn, phosphorylated and promoted the assembly of NLRP1 in both zebrafish and human. Finally, inhibition of Zaka with the FDA/EMA-approved drug Nilotinib alleviated neutrophilia in a zebrafish model of neutrophilic inflammation and promoted erythroid differentiation and GATA1 accumulation in K562 cells. In conclusion, our results reveal that the NLRP1 inflammasome regulates hematopoiesis and pave the way to develop novel therapeutic strategies for the treatment of hematopoietic alterations associated with chronic inflammatory and rare diseases.
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Affiliation(s)
- Lola Rodríguez‐Ruiz
- Departmento de Biología Celular e Histología, Facultad de BiologíaUniversidad de MurciaMurciaSpain
- Instituto Murciano de Investigación Biosanitaria (IMIB)‐Pascual ParrillaMurciaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)Instituto de Salud Carlos IIIMadridSpain
| | - Juan M Lozano‐Gil
- Departmento de Biología Celular e Histología, Facultad de BiologíaUniversidad de MurciaMurciaSpain
- Instituto Murciano de Investigación Biosanitaria (IMIB)‐Pascual ParrillaMurciaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)Instituto de Salud Carlos IIIMadridSpain
| | - Elena Naranjo‐Sánchez
- Departmento de Biología Celular e Histología, Facultad de BiologíaUniversidad de MurciaMurciaSpain
- Instituto Murciano de Investigación Biosanitaria (IMIB)‐Pascual ParrillaMurciaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)Instituto de Salud Carlos IIIMadridSpain
- Hospital Clínico Universitario Virgen de la ArrixacaMurciaSpain
| | - Elena Martínez‐Balsalobre
- Departmento de Biología Celular e Histología, Facultad de BiologíaUniversidad de MurciaMurciaSpain
- Instituto Murciano de Investigación Biosanitaria (IMIB)‐Pascual ParrillaMurciaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)Instituto de Salud Carlos IIIMadridSpain
- Hospital Clínico Universitario Virgen de la ArrixacaMurciaSpain
| | - Alicia Martínez‐López
- Instituto Murciano de Investigación Biosanitaria (IMIB)‐Pascual ParrillaMurciaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)Instituto de Salud Carlos IIIMadridSpain
| | - Christophe Lachaud
- Aix‐Marseille University, Inserm, CNRS, Institut Paoli‐Calmettes, CRCMMarseilleFrance
| | - Miguel Blanquer
- Instituto Murciano de Investigación Biosanitaria (IMIB)‐Pascual ParrillaMurciaSpain
- Hospital Clínico Universitario Virgen de la ArrixacaMurciaSpain
- Departamento de Medicina y Unidad de Terapia Celular y Trasplante Hematopoyético, Facultad de MedicinaUniversidad de MurciaMurciaSpain
| | - Toan K Phung
- MRC PPU, Sir James Black Centre, School of Life SciencesUniversity of DundeeDundeeUK
| | - Diana García‐Moreno
- Instituto Murciano de Investigación Biosanitaria (IMIB)‐Pascual ParrillaMurciaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)Instituto de Salud Carlos IIIMadridSpain
| | - María L Cayuela
- Instituto Murciano de Investigación Biosanitaria (IMIB)‐Pascual ParrillaMurciaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)Instituto de Salud Carlos IIIMadridSpain
- Hospital Clínico Universitario Virgen de la ArrixacaMurciaSpain
| | - Sylwia D Tyrkalska
- Departmento de Biología Celular e Histología, Facultad de BiologíaUniversidad de MurciaMurciaSpain
- Instituto Murciano de Investigación Biosanitaria (IMIB)‐Pascual ParrillaMurciaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)Instituto de Salud Carlos IIIMadridSpain
| | - Ana B Pérez‐Oliva
- Instituto Murciano de Investigación Biosanitaria (IMIB)‐Pascual ParrillaMurciaSpain
| | - Victoriano Mulero
- Departmento de Biología Celular e Histología, Facultad de BiologíaUniversidad de MurciaMurciaSpain
- Instituto Murciano de Investigación Biosanitaria (IMIB)‐Pascual ParrillaMurciaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)Instituto de Salud Carlos IIIMadridSpain
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Fasimoye R, Dong W, Nirujogi RS, Rawat ES, Iguchi M, Nyame K, Phung TK, Bagnoli E, Prescott AR, Alessi DR, Abu-Remaileh M. Golgi-IP, a tool for multimodal analysis of Golgi molecular content. Proc Natl Acad Sci U S A 2023; 120:e2219953120. [PMID: 37155866 PMCID: PMC10193996 DOI: 10.1073/pnas.2219953120] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 04/05/2023] [Indexed: 05/10/2023] Open
Abstract
The Golgi is a membrane-bound organelle that is essential for protein and lipid biosynthesis. It represents a central trafficking hub that sorts proteins and lipids to various destinations or for secretion from the cell. The Golgi has emerged as a docking platform for cellular signaling pathways including LRRK2 kinase whose deregulation leads to Parkinson disease. Golgi dysfunction is associated with a broad spectrum of diseases including cancer, neurodegeneration, and cardiovascular diseases. To allow the study of the Golgi at high resolution, we report a rapid Golgi immunoprecipitation technique (Golgi-IP) to isolate intact Golgi mini-stacks for subsequent analysis of their content. By fusing the Golgi-resident protein TMEM115 to three tandem HA epitopes (GolgiTAG), we purified the Golgi using Golgi-IP with minimal contamination from other compartments. We then established an analysis pipeline using liquid chromatography coupled with mass spectrometry to characterize the human Golgi proteome, metabolome, and lipidome. Subcellular proteomics confirmed known Golgi proteins and identified proteins not previously associated with the Golgi. Metabolite profiling established the human Golgi metabolome and revealed the enrichment of uridine-diphosphate (UDP) sugars and their derivatives, which is consistent with their roles in protein and lipid glycosylation. Furthermore, targeted metabolomics validated SLC35A2 as the subcellular transporter for UDP-hexose. Finally, lipidomics analysis showed that phospholipids including phosphatidylcholine, phosphatidylinositol, and phosphatidylserine are the most abundant Golgi lipids and that glycosphingolipids are enriched in this compartment. Altogether, our work establishes a comprehensive molecular map of the human Golgi and provides a powerful method to study the Golgi with high precision in health and disease.
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Affiliation(s)
- Rotimi Fasimoye
- Medical Research Council Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, DundeeDD1 5EH, United Kingdom
- Aligning Science Across Parkinson’s Collaborative Research Network, Chevy Chase, MD20815
| | - Wentao Dong
- Aligning Science Across Parkinson’s Collaborative Research Network, Chevy Chase, MD20815
- Department of Chemical Engineering, Stanford University, Stanford, CA94305
- Department of Genetics, Stanford University, Stanford, CA94305
- The Institute for Chemistry, Engineering & Medicine for Human Health, Stanford University, Stanford, CA94305
| | - Raja S. Nirujogi
- Medical Research Council Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, DundeeDD1 5EH, United Kingdom
- Aligning Science Across Parkinson’s Collaborative Research Network, Chevy Chase, MD20815
| | - Eshaan S. Rawat
- Aligning Science Across Parkinson’s Collaborative Research Network, Chevy Chase, MD20815
- Department of Chemical Engineering, Stanford University, Stanford, CA94305
- Department of Genetics, Stanford University, Stanford, CA94305
- The Institute for Chemistry, Engineering & Medicine for Human Health, Stanford University, Stanford, CA94305
| | - Miharu Iguchi
- Aligning Science Across Parkinson’s Collaborative Research Network, Chevy Chase, MD20815
- Department of Chemical Engineering, Stanford University, Stanford, CA94305
- Department of Genetics, Stanford University, Stanford, CA94305
- The Institute for Chemistry, Engineering & Medicine for Human Health, Stanford University, Stanford, CA94305
| | - Kwamina Nyame
- Aligning Science Across Parkinson’s Collaborative Research Network, Chevy Chase, MD20815
- Department of Chemical Engineering, Stanford University, Stanford, CA94305
- Department of Genetics, Stanford University, Stanford, CA94305
- The Institute for Chemistry, Engineering & Medicine for Human Health, Stanford University, Stanford, CA94305
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA94305
| | - Toan K. Phung
- Medical Research Council Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, DundeeDD1 5EH, United Kingdom
- Aligning Science Across Parkinson’s Collaborative Research Network, Chevy Chase, MD20815
| | - Enrico Bagnoli
- Medical Research Council Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, DundeeDD1 5EH, United Kingdom
- Aligning Science Across Parkinson’s Collaborative Research Network, Chevy Chase, MD20815
| | - Alan R. Prescott
- Dundee Imaging Facility, School of Life Sciences, University of Dundee, DundeeDD1 5EH, United Kingdom
| | - Dario R. Alessi
- Medical Research Council Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, DundeeDD1 5EH, United Kingdom
- Aligning Science Across Parkinson’s Collaborative Research Network, Chevy Chase, MD20815
| | - Monther Abu-Remaileh
- Aligning Science Across Parkinson’s Collaborative Research Network, Chevy Chase, MD20815
- Department of Chemical Engineering, Stanford University, Stanford, CA94305
- Department of Genetics, Stanford University, Stanford, CA94305
- The Institute for Chemistry, Engineering & Medicine for Human Health, Stanford University, Stanford, CA94305
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Malik AU, Karapetsas A, Nirujogi RS, Chatterjee D, Phung TK, Wightman M, Gourlay R, Morrice N, Mathea S, Knapp S, Alessi DR. PKC isoforms activate LRRK1 kinase by phosphorylating conserved residues (Ser1064, Ser1074 and Thr1075) within the CORB GTPase domain. Biochem J 2022; 479:1941-1965. [PMID: 36040231 PMCID: PMC9555798 DOI: 10.1042/bcj20220308] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 08/17/2022] [Accepted: 08/30/2022] [Indexed: 11/17/2022]
Abstract
Leucine-rich-repeat-kinase 1 (LRRK1) and its homolog LRRK2 are multidomain kinases possessing a ROC-CORA-CORB containing GTPase domain and phosphorylate distinct Rab proteins. LRRK1 loss of function mutations cause the bone disorder osteosclerotic metaphyseal dysplasia, whereas LRRK2 missense mutations that enhance kinase activity cause Parkinson's disease. Previous work suggested that LRRK1 but not LRRK2, is activated via a Protein Kinase C (PKC)-dependent mechanism. Here we demonstrate that phosphorylation and activation of LRRK1 in HEK293 cells is blocked by PKC inhibitors including LXS-196 (Darovasertib), a compound that has entered clinical trials. We show multiple PKC isoforms phosphorylate and activate recombinant LRRK1 in a manner reversed by phosphatase treatment. PKCα unexpectedly does not activate LRRK1 by phosphorylating the kinase domain, but instead phosphorylates a cluster of conserved residues (Ser1064, Ser1074 and Thr1075) located within a region of the CORB domain of the GTPase domain. These residues are positioned at the equivalent region of the LRRK2 DK helix reported to stabilize the kinase domain αC-helix in the active conformation. Thr1075 represents an optimal PKC site phosphorylation motif and its mutation to Ala, blocked PKC-mediated activation of LRRK1. A triple Glu mutation of Ser1064/Ser1074/Thr1075 to mimic phosphorylation, enhanced LRRK1 kinase activity ∼3-fold. From analysis of available structures, we postulate that phosphorylation of Ser1064, Ser1074 and Thr1075 activates LRRK1 by promoting interaction and stabilization of the αC-helix on the kinase domain. This study provides new fundamental insights into the mechanism controlling LRRK1 activity and reveals a novel unexpected activation mechanism.
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Affiliation(s)
- Asad U Malik
- Medical Research Council (MRC) Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, U.K
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, U.S.A
| | - Athanasios Karapetsas
- Medical Research Council (MRC) Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, U.K
| | - Raja S Nirujogi
- Medical Research Council (MRC) Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, U.K
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, U.S.A
| | - Deep Chatterjee
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, U.S.A
- Structural Genomics Consortium, Buchmann Institute for Molecular Life Sciences and Institute for Pharmaceutical Chemistry, Johann Wolfgang Goethe-University, Max-von-Laue-Str. 9, D-60438 Frankfurt am Main, Germany
| | - Toan K Phung
- Medical Research Council (MRC) Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, U.K
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, U.S.A
| | - Melanie Wightman
- Medical Research Council (MRC) Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, U.K
| | - Robert Gourlay
- Medical Research Council (MRC) Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, U.K
| | - Nick Morrice
- AB Sciex, Alderley Park, Macclesfield SK10 4TG, U.K
| | - Sebastian Mathea
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, U.S.A
- Structural Genomics Consortium, Buchmann Institute for Molecular Life Sciences and Institute for Pharmaceutical Chemistry, Johann Wolfgang Goethe-University, Max-von-Laue-Str. 9, D-60438 Frankfurt am Main, Germany
| | - Stefan Knapp
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, U.S.A
- Structural Genomics Consortium, Buchmann Institute for Molecular Life Sciences and Institute for Pharmaceutical Chemistry, Johann Wolfgang Goethe-University, Max-von-Laue-Str. 9, D-60438 Frankfurt am Main, Germany
| | - Dario R Alessi
- Medical Research Council (MRC) Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, U.K
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, U.S.A
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Harbison AM, Fogarty CA, Phung TK, Satheesan A, Schulz BL, Fadda E. Fine-tuning the spike: role of the nature and topology of the glycan shield in the structure and dynamics of the SARS-CoV-2 S. Chem Sci 2022; 13:386-395. [PMID: 35126971 PMCID: PMC8729800 DOI: 10.1039/d1sc04832e] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 11/24/2021] [Indexed: 12/20/2022] Open
Abstract
The dense glycan shield is an essential feature of the SARS-CoV-2 spike (S) architecture, key to immune evasion and to the activation of the prefusion conformation. Recent studies indicate that the occupancy and structures of the SARS-CoV-2 S glycans depend not only on the nature of the host cell, but also on the structural stability of the trimer; a point that raises important questions about the relative competence of different glycoforms. Moreover, the functional role of the glycan shield in the SARS-CoV-2 pathogenesis suggests that the evolution of the sites of glycosylation is potentially intertwined with the evolution of the protein sequence to affect optimal activity. Our results from multi-microsecond molecular dynamics simulations indicate that the type of glycosylation at N234, N165 and N343 greatly affects the stability of the receptor binding domain (RBD) open conformation, and thus its exposure and accessibility. Furthermore, our results suggest that the loss of glycosylation at N370, a newly acquired modification in the SARS-CoV-2 S glycan shield's topology, may have contributed to increase the SARS-CoV-2 infectivity as we find that N-glycosylation at N370 stabilizes the closed RBD conformation by binding a specific cleft on the RBD surface. We discuss how the absence of the N370 glycan in the SARS-CoV-2 S frees the RBD glycan binding cleft, which becomes available to bind cell-surface glycans, and potentially increases host cell surface localization.
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Affiliation(s)
- Aoife M Harbison
- Department of Chemistry and Hamilton Institute, Maynooth University Maynooth Kildare Ireland
| | - Carl A Fogarty
- Department of Chemistry and Hamilton Institute, Maynooth University Maynooth Kildare Ireland
| | - Toan K Phung
- School of Chemistry and Molecular Biosciences, The University of Queensland St Lucia QLD Australia
| | - Akash Satheesan
- Department of Chemistry and Hamilton Institute, Maynooth University Maynooth Kildare Ireland
| | - Benjamin L Schulz
- School of Chemistry and Molecular Biosciences, The University of Queensland St Lucia QLD Australia
| | - Elisa Fadda
- Department of Chemistry and Hamilton Institute, Maynooth University Maynooth Kildare Ireland
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7
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Kawahara R, Chernykh A, Alagesan K, Bern M, Cao W, Chalkley RJ, Cheng K, Choo MS, Edwards N, Goldman R, Hoffmann M, Hu Y, Huang Y, Kim JY, Kletter D, Liquet B, Liu M, Mechref Y, Meng B, Neelamegham S, Nguyen-Khuong T, Nilsson J, Pap A, Park GW, Parker BL, Pegg CL, Penninger JM, Phung TK, Pioch M, Rapp E, Sakalli E, Sanda M, Schulz BL, Scott NE, Sofronov G, Stadlmann J, Vakhrushev SY, Woo CM, Wu HY, Yang P, Ying W, Zhang H, Zhang Y, Zhao J, Zaia J, Haslam SM, Palmisano G, Yoo JS, Larson G, Khoo KH, Medzihradszky KF, Kolarich D, Packer NH, Thaysen-Andersen M. Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis. Nat Methods 2021; 18:1304-1316. [PMID: 34725484 DOI: 10.1101/2021.03.14.435332] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 09/22/2021] [Indexed: 05/18/2023]
Abstract
Glycoproteomics is a powerful yet analytically challenging research tool. Software packages aiding the interpretation of complex glycopeptide tandem mass spectra have appeared, but their relative performance remains untested. Conducted through the HUPO Human Glycoproteomics Initiative, this community study, comprising both developers and users of glycoproteomics software, evaluates solutions for system-wide glycopeptide analysis. The same mass spectrometrybased glycoproteomics datasets from human serum were shared with participants and the relative team performance for N- and O-glycopeptide data analysis was comprehensively established by orthogonal performance tests. Although the results were variable, several high-performance glycoproteomics informatics strategies were identified. Deep analysis of the data revealed key performance-associated search parameters and led to recommendations for improved 'high-coverage' and 'high-accuracy' glycoproteomics search solutions. This study concludes that diverse software packages for comprehensive glycopeptide data analysis exist, points to several high-performance search strategies and specifies key variables that will guide future software developments and assist informatics decision-making in glycoproteomics.
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Affiliation(s)
- Rebeca Kawahara
- Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia
| | - Anastasia Chernykh
- Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia
| | - Kathirvel Alagesan
- Institute for Glycomics, Griffith University Gold Coast Campus, Southport, QLD, Australia
| | | | - Weiqian Cao
- Institutes of Biomedical Sciences, and the NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai, China
| | - Robert J Chalkley
- UCSF, School of Pharmacy, Department of Pharmaceutical Chemistry, San Francisco, CA, USA
| | - Kai Cheng
- State University of New York, Buffalo, NY, USA
| | - Matthew S Choo
- Analytics Group, Bioprocessing Technology Institute, Agency for Science, Technology and Research, Singapore, Singapore
| | - Nathan Edwards
- Clinical and Translational Glycoscience Research Center (CTGRC), Georgetown University, Washington, DC, USA
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, USA
| | - Radoslav Goldman
- Clinical and Translational Glycoscience Research Center (CTGRC), Georgetown University, Washington, DC, USA
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, USA
- Department of Oncology, Georgetown University, Washington, DC, USA
| | - Marcus Hoffmann
- Max Planck Institute for Dynamics of Complex Technical Systems, Bioprocess Engineering, Magdeburg, Germany
| | - Yingwei Hu
- Department of Pathology, The Johns Hopkins University, Baltimore, MD, USA
| | - Yifan Huang
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA
| | - Jin Young Kim
- Research Center of Bioconvergence Analysis, Korea Basic Science Institute, Daejeon, Republic of Korea
| | | | - Benoit Liquet
- Department of Mathematics and Statistics, Macquarie University, Sydney, NSW, Australia
- CNRS, Laboratoire de Mathématiques et de leurs Applications de PAU, E2S-UPPA, Pau, France
| | - Mingqi Liu
- Institutes of Biomedical Sciences, and the NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai, China
| | - Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA
| | - Bo Meng
- State Key Laboratory of Proteomics, Beijing Institute of Lifeomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing, China
| | | | - Terry Nguyen-Khuong
- Analytics Group, Bioprocessing Technology Institute, Agency for Science, Technology and Research, Singapore, Singapore
| | - Jonas Nilsson
- Proteomics Core Facility, Sahlgrenska academy, University of Gothenburg, Gothenburg, Sweden
| | - Adam Pap
- BRC, Laboratory of Proteomics Research, Szeged, Hungary
- Doctoral School in Biology, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary
| | - Gun Wook Park
- Research Center of Bioconvergence Analysis, Korea Basic Science Institute, Daejeon, Republic of Korea
| | - Benjamin L Parker
- Department of Anatomy and Physiology, University of Melbourne, Melbourne, VIC, Australia
| | - Cassandra L Pegg
- School of Chemistry and Molecular Biosciences, University of Queensland, Queensland, QLD, Australia
| | - Josef M Penninger
- IMBA, Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Vienna, Austria
- Department of Medical Genetics, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada
| | - Toan K Phung
- School of Chemistry and Molecular Biosciences, University of Queensland, Queensland, QLD, Australia
| | - Markus Pioch
- Max Planck Institute for Dynamics of Complex Technical Systems, Bioprocess Engineering, Magdeburg, Germany
| | - Erdmann Rapp
- Max Planck Institute for Dynamics of Complex Technical Systems, Bioprocess Engineering, Magdeburg, Germany
- glyXera GmbH, Magdeburg, Germany
| | - Enes Sakalli
- IMBA, Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Vienna, Austria
| | - Miloslav Sanda
- Clinical and Translational Glycoscience Research Center (CTGRC), Georgetown University, Washington, DC, USA
- Department of Oncology, Georgetown University, Washington, DC, USA
| | - Benjamin L Schulz
- School of Chemistry and Molecular Biosciences, University of Queensland, Queensland, QLD, Australia
| | - Nichollas E Scott
- Deparment of Microbiology and Immunology, University of Melbourne, Melbourne, VIC, Australia
| | - Georgy Sofronov
- Department of Mathematics and Statistics, Macquarie University, Sydney, NSW, Australia
| | - Johannes Stadlmann
- IMBA, Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Vienna, Austria
| | - Sergey Y Vakhrushev
- Copenhagen Center for Glycomics, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Christina M Woo
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Hung-Yi Wu
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Pengyuan Yang
- Institutes of Biomedical Sciences, and the NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai, China
| | - Wantao Ying
- State Key Laboratory of Proteomics, Beijing Institute of Lifeomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing, China
| | - Hui Zhang
- Department of Pathology, The Johns Hopkins University, Baltimore, MD, USA
| | - Yong Zhang
- State Key Laboratory of Proteomics, Beijing Institute of Lifeomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing, China
| | - Jingfu Zhao
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, USA
| | - Joseph Zaia
- Department of Biochemistry, Boston University Medical Campus, Boston, MA, USA
| | - Stuart M Haslam
- Department of Life Sciences, Imperial College London, London, UK
| | - Giuseppe Palmisano
- Instituto de Ciências Biomédicas, Departamento de Parasitologia, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Jong Shin Yoo
- Research Center of Bioconvergence Analysis, Korea Basic Science Institute, Daejeon, Republic of Korea
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, Republic of Korea
| | - Göran Larson
- Department of Laboratory Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Kai-Hooi Khoo
- Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan
| | - Katalin F Medzihradszky
- UCSF, School of Pharmacy, Department of Pharmaceutical Chemistry, San Francisco, CA, USA
- BRC, Laboratory of Proteomics Research, Szeged, Hungary
| | - Daniel Kolarich
- Institute for Glycomics, Griffith University Gold Coast Campus, Southport, QLD, Australia
| | - Nicolle H Packer
- Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia
- Institute for Glycomics, Griffith University Gold Coast Campus, Southport, QLD, Australia
- Biomolecular Discovery Research Centre, Macquarie University, Sydney, NSW, Australia
| | - Morten Thaysen-Andersen
- Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia.
- Biomolecular Discovery Research Centre, Macquarie University, Sydney, NSW, Australia.
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8
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Osama SK, Kerr ED, Yousif AM, Phung TK, Kelly AM, Fox GP, Schulz BL. Proteomics reveals commitment to germination in barley seeds is marked by loss of stress response proteins and mobilisation of nutrient reservoirs. J Proteomics 2021; 242:104221. [PMID: 33866056 DOI: 10.1016/j.jprot.2021.104221] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 03/31/2021] [Accepted: 04/01/2021] [Indexed: 02/06/2023]
Abstract
Germination is a critical process in the reproduction and propagation of flowering plants, and is also the key stage of industrial grain malting. Germination commences when seeds are steeped in water, followed by degradation of the endosperm cell walls, enzymatic digestion of starch and proteins to provide nutrients for the growing plant, and emergence of the radicle from the seed. Dormancy is a state where seeds fail to germinate upon steeping, but which prevents inappropriate premature germination of the seeds before harvest from the field. This can result in inefficiencies in industrial malting. We used Sequential Window Acquisition of all THeoretical ions Mass Spectrometry (SWATH-MS) proteomics to measure changes in the barley seed proteome throughout germination. We found a large number of proteins involved in desiccation tolerance and germination inhibition rapidly decreased in abundance after imbibition. This was followed by a decrease in proteins involved in lipid, protein and nutrient reservoir storage, consistent with induction and activation of systems for nutrient mobilisation to provide nutrients to the growing embryo. Dormant seeds that failed to germinate showed substantial biochemical activity distinct from that of seeds undergoing germination, with differences in sulfur metabolic enzymes, endogenous alpha-amylase/trypsin inhibitors, and histone proteins. We verified our findings with analysis of germinating barley seeds from two commercial malting facilities, demonstrating that key features of the dynamic proteome of germinating barley seeds were conserved between laboratory and industrial scales. The results provide a more detailed understanding of the changes in the barley proteome during germination and give possible target proteins for testing or to inform selective breeding to enhance germination or control dormancy. SIGNIFICANCE: Germination is critical to the reproduction and propagation of flowering plants, and in industrial malting. Dormancy, where seeds fail to germinate upon steeping, can result in inefficiencies in industrial malting. Our DIA/SWATH-MS proteomics analyses identified key changes during germination, including an initial loss of proteins involved in desiccation tolerance and germination inhibition, followed by decreases in lipid, protein and nutrient reservoir storage. These changes were consistent between laboratory and industrial malting scales, and therefore demonstrate the utility of laboratory-scale barley germination as a model system for industrial malt house processes. We also showed that dormant seeds that failed to germinate showed substantial biochemical activity distinct from that of seeds undergoing germination, consistent with dormancy being an actively regulated state. Our results provide a more detailed understanding of the changes in the barley proteome during germination and give possible target proteins for testing or to inform selective breeding to enhance germination or control dormancy.
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Affiliation(s)
- Sarah K Osama
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Toowoomba, Qld 4350, Australia
| | - Edward D Kerr
- School of Chemistry and Molecular Bioscience, The University of Queensland, St Lucia 4072, Australia; Australian Infectious Diseases Research Centre, The University of Queensland, Brisbane 4072, Australia
| | - Adel M Yousif
- Tasmanian Institute of Agriculture, College of Science and Engineering, University of Tasmania, Sandy Bay Campus, TAS, 7005, Australia
| | - Toan K Phung
- School of Chemistry and Molecular Bioscience, The University of Queensland, St Lucia 4072, Australia; Australian Infectious Diseases Research Centre, The University of Queensland, Brisbane 4072, Australia
| | - Alison M Kelly
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Toowoomba, Qld 4350, Australia; Department of Agriculture and Fisheries, Leslie Research Facility, Toowoomba, Qld 4350, Australia
| | - Glen P Fox
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Toowoomba, Qld 4350, Australia; Department of Food Science and Technology, University of California Davis, CA 95616, USA.
| | - Benjamin L Schulz
- School of Chemistry and Molecular Bioscience, The University of Queensland, St Lucia 4072, Australia; Australian Infectious Diseases Research Centre, The University of Queensland, Brisbane 4072, Australia.
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9
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Rubbab T, Pegg CL, Phung TK, Nouwens AS, Yeo KYB, Zacchi LF, Muhammad A, Naqvi SMS, Schulz BL. N-glycosylation on Oryza sativa root germin-like protein 1 is conserved but not required for stability or activity. Biochem Biophys Res Commun 2021; 553:72-77. [PMID: 33756348 DOI: 10.1016/j.bbrc.2021.03.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 03/04/2021] [Indexed: 11/18/2022]
Abstract
Germin and germin-like proteins (GLPs) are a broad family of extracellular glycoproteins ubiquitously distributed in plants. Overexpression of Oryza sativa root germin like protein 1 (OsRGLP1) enhances superoxide dismutase (SOD) activity in transgenic plants. Here, we report bioinformatic analysis and heterologous expression of OsRGLP1 to study the role of glycosylation on OsRGLP1 protein stability and activity. Sequence analysis of OsRGLP1 homologs identified diverse N-glycosylation sequons, one of which was highly conserved. We therefore expressed OsRGLP1 in glycosylation-competent Saccharomyces cerevisiae as a Maltose Binding Protein (MBP) fusion. Mass spectrometry analysis of purified OsRGLP1 showed it was expressed by S. cerevisiae in both N-glycosylated and unmodified forms. Glycoprotein thermal profiling showed little difference in the thermal stability of the glycosylated and unmodified protein forms. Circular Dichroism spectroscopy of MBP-OsRGLP1 and a N-Q glycosylation-deficient variant showed that both glycosylated and unmodified MBP-OsRGLP1 had similar secondary structure, and both forms had equivalent SOD activity. Together, we concluded that glycosylation was not critical for OsRGLP1 protein stability or activity, and it could therefore likely be produced in Escherichia coli without glycosylation. Indeed, we found that OsRGLP1 could be efficiently expressed and purified from K12 shuffle E. coli with a specific activity of 1251 ± 70 Units/mg. In conclusion, we find that some highly conserved N-glycosylation sites are not necessarily required for protein stability or activity, and describe a suitable method for production of OsRGLP1 which paves the way for further characterization and use of this protein.
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Affiliation(s)
- Tehseen Rubbab
- University Institute of Biochemistry and Biotechnology, PMAS-Arid Agriculture University, Rawalpindi, 46300, Pakistan
| | - Cassandra L Pegg
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, 4072, Australia
| | - Toan K Phung
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, 4072, Australia
| | - Amanda S Nouwens
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, 4072, Australia
| | - K Y Benjamin Yeo
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, 4072, Australia
| | - Lucia F Zacchi
- Centre for Biopharmaceutical Innovation, Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, St Lucia, 4072, Queensland, Australia
| | - Amna Muhammad
- University Institute of Biochemistry and Biotechnology, PMAS-Arid Agriculture University, Rawalpindi, 46300, Pakistan
| | - S M Saqlan Naqvi
- Uswa Institute of Higher Education, Saif Ali Education Complex, Japan Road, Islamabad, 45750, Pakistan
| | - Benjamin L Schulz
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, 4072, Australia; Centre for Biopharmaceutical Innovation, Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, St Lucia, 4072, Queensland, Australia.
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10
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Pegg CL, Phung TK, Caboche CH, Niamsuphap S, Bern M, Howell K, Schulz BL. Quantitative Data-Independent Acquisition Glycoproteomics of Sparkling Wine. Mol Cell Proteomics 2020; 20:100020. [PMID: 32938748 PMCID: PMC8724608 DOI: 10.1074/mcp.ra120.002181] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 08/26/2020] [Accepted: 09/16/2020] [Indexed: 11/16/2022] Open
Abstract
Sparkling wine is an alcoholic beverage enjoyed around the world. The sensory properties of sparkling wine depend on a complex interplay between the chemical and biochemical components in the final product. Glycoproteins have been linked to positive and negative qualities in sparkling wine, but the glycosylation profiles of sparkling wine have not been previously investigated in detail. We analyzed the glycoproteome of sparkling wines using protein- and glycopeptide-centric approaches. We developed an automated workflow that created ion libraries to analyze sequential window acquisition of all theoretical mass spectra data-independent acquisition mass spectrometry data based on glycopeptides identified by Byonic (Protein Metrics; version 2.13.17). We applied our workflow to three pairs of experimental sparkling wines to assess the effects of aging on lees and of different yeast strains used in the liqueur de tirage for secondary fermentation. We found that aging a cuvée on lees for 24 months compared with 8 months led to a dramatic decrease in overall protein abundance and an enrichment in large glycans at specific sites in some proteins. Secondary fermentation of a Riesling wine with Saccharomyces cerevisiae yeast strain Siha4 produced more yeast proteins and glycoproteins than with S. cerevisiae yeast strain DV10. The abundance and glycosylation profiles of grape glycoproteins were also different between grape varieties. To our knowledge, this work represents the first in-depth study into protein- and peptide-specific glycosylation in sparkling wines and describes a quantitative glycoproteomic sequential window acquisition of all theoretical mass spectra/data-independent acquisition workflow that is broadly applicable to other sample types. Development of an automated glycoproteomic sequential window acquisition of all theoretical mass spectra workflow. Application to three pairs of commercial-scale experimental sparkling wines. Decreased protein abundance in cuvée during the aging process. Different yeast strains produce varying levels of yeast proteins.
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Affiliation(s)
- Cassandra L Pegg
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia
| | - Toan K Phung
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia
| | - Christopher H Caboche
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia
| | - Suchada Niamsuphap
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia; Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, Australia
| | | | - Kate Howell
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC, Australia
| | - Benjamin L Schulz
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia; Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, Australia.
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11
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Phung TK, Pegg CL, Schulz BL. GlypNirO: An automated workflow for quantitative N- and O-linked glycoproteomic data analysis. Beilstein J Org Chem 2020; 16:2127-2135. [PMID: 32952729 PMCID: PMC7476601 DOI: 10.3762/bjoc.16.180] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 08/20/2020] [Indexed: 12/22/2022] Open
Abstract
Mass spectrometry glycoproteomics is rapidly maturing, allowing unprecedented insights into the diversity and functions of protein glycosylation. However, quantitative glycoproteomics remains challenging. We developed GlypNirO, an automated software pipeline which integrates the complementary outputs of Byonic and Proteome Discoverer to allow high-throughput automated quantitative glycoproteomic data analysis. The output of GlypNirO is clearly structured, allowing manual interrogation, and is also appropriate for input into diverse statistical workflows. We used GlypNirO to analyse a published plasma glycoproteome dataset and identified changes in site-specific N- and O-glycosylation occupancy and structure associated with hepatocellular carcinoma as putative biomarkers of disease.
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Affiliation(s)
- Toan K Phung
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, Queensland, 4072, Australia
| | - Cassandra L Pegg
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, Queensland, 4072, Australia
| | - Benjamin L Schulz
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, Queensland, 4072, Australia.,ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, QLD 4072, Australia
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12
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Phung TK, Zacchi LF, Schulz BL. DIALib: an automated ion library generator for data independent acquisition mass spectrometry analysis of peptides and glycopeptides. Mol Omics 2020; 16:100-112. [DOI: 10.1039/c9mo00125e] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Data Independent Acquisition (DIA) Mass Spectrometry (MS) workflows allow unbiased measurement of all detectable peptides from complex proteomes, but require ion libraries for interrogation of peptides of interest.
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Affiliation(s)
- Toan K. Phung
- School of Chemistry and Molecular Biosciences
- The University of Queensland
- St Lucia
- Australia
| | - Lucia F. Zacchi
- ARC Training Centre for Biopharmaceutical Innovation
- The University of Queensland
- St. Lucia
- Australia
| | - Benjamin L. Schulz
- School of Chemistry and Molecular Biosciences
- The University of Queensland
- St Lucia
- Australia
- ARC Training Centre for Biopharmaceutical Innovation
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13
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Kerr ED, Phung TK, Caboche CH, Fox GP, Platz GJ, Schulz BL. The intrinsic and regulated proteomes of barley seeds in response to fungal infection. Anal Biochem 2019; 580:30-35. [PMID: 31181183 DOI: 10.1016/j.ab.2019.06.004] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Revised: 06/03/2019] [Accepted: 06/03/2019] [Indexed: 01/14/2023]
Abstract
Barley is an important cereal grain used for beer brewing, animal feed, and human food consumption. Fungal disease can impact barley production, as it causes substantial yield loss and lowers seed quality. We used sequential window acquisition of all theoretical ions mass spectrometry (SWATH-MS) to measure and quantify the relative abundance of proteins within seeds of different barley varieties under various fungal pathogen burdens (ProteomeXchange Datasets PXD011303 and PXD014093). Fungal burden in the leaves and stems of barley resulted in changes to the seed proteome. However, these changes were minimal and showed substantial variation among barley samples infected with different pathogens. The limited effect of intrinsic disease resistance on the seed proteome is consistent with the main mediators of disease resistance being present in the leaves and stems of the plant. The seeds of barley varieties accredited for use as malt had higher levels of proteins associated with starch synthesis and beer quality. The proteomic workflows developed and implemented here have potential application in quality control, breeding and processing of barley, and other agricultural products.
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Affiliation(s)
- Edward D Kerr
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, 4072, Queensland, Australia; Australian Infectious Diseases Research Centre, The University of Queensland, Brisbane, 4072, Australia
| | - Toan K Phung
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, 4072, Queensland, Australia; Australian Infectious Diseases Research Centre, The University of Queensland, Brisbane, 4072, Australia
| | - Christopher H Caboche
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, 4072, Queensland, Australia; Australian Infectious Diseases Research Centre, The University of Queensland, Brisbane, 4072, Australia
| | - Glen P Fox
- Centre for Nutrition and Food Sciences, Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, 4072, Queensland, Australia
| | - Greg J Platz
- Department of Agriculture & Fisheries, Hermitage Research Facility, Warwick, 4370, Queensland, Australia
| | - Benjamin L Schulz
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, 4072, Queensland, Australia; Australian Infectious Diseases Research Centre, The University of Queensland, Brisbane, 4072, Australia; Centre for Biopharmaceutical Innovation, Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, St Lucia, 4072, Queensland, Australia.
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14
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Schulz BL, Phung TK, Bruschi M, Janusz A, Stewart J, Meehan J, Healy P, Nouwens AS, Fox GP, Vickers CE. Process Proteomics of Beer Reveals a Dynamic Proteome with Extensive Modifications. J Proteome Res 2018; 17:1647-1653. [PMID: 29457908 DOI: 10.1021/acs.jproteome.7b00907] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Modern beer production is a complex industrial process. However, some of its biochemical details remain unclear. Using mass spectrometry proteomics, we have performed a global untargeted analysis of the proteins present across time during nanoscale beer production. Samples included sweet wort produced by a high temperature infusion mash, hopped wort, and bright beer. This analysis identified over 200 unique proteins from barley and yeast, emphasizing the complexity of the process and product. We then used data independent SWATH-MS to quantitatively compare the relative abundance of these proteins throughout the process. This identified large and significant changes in the proteome at each process step. These changes described enrichment of proteins by their biophysical properties, and identified the appearance of dominant yeast proteins during fermentation. Altered levels of malt modification also quantitatively changed the proteomes throughout the process. Detailed inspection of the proteomic data revealed that many proteins were modified by protease digestion, glycation, or oxidation during the processing steps. This work demonstrates the opportunities offered by modern mass spectrometry proteomics in understanding the ancient process of beer production.
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Affiliation(s)
- Benjamin L Schulz
- School of Chemistry and Molecular Biosciences , The University of Queensland , Brisbane , Queensland 4072 , Australia.,ARC Training Centre for Biopharmaceutical Innovation, Australian Institute of Bioengineering and Nanotechnology , The University of Queensland , Brisbane , Queensland 4072 , Australia
| | - Toan K Phung
- School of Chemistry and Molecular Biosciences , The University of Queensland , Brisbane , Queensland 4072 , Australia
| | - Michele Bruschi
- Australian Institute of Bioengineering and Nanotechnology , The University of Queensland , Brisbane , Queensland 4072 , Australia
| | | | - Jeff Stewart
- Lion , Sydney , New South Wales 2127 , Australia
| | - John Meehan
- Lion , Brisbane , Queensland 4064 , Australia
| | - Peter Healy
- Lion , Brisbane , Queensland 4064 , Australia
| | - Amanda S Nouwens
- School of Chemistry and Molecular Biosciences , The University of Queensland , Brisbane , Queensland 4072 , Australia.,Australian Institute of Bioengineering and Nanotechnology , The University of Queensland , Brisbane , Queensland 4072 , Australia
| | - Glen P Fox
- Queensland Alliance for Agriculture and Food Innovation , The University of Queensland , Brisbane , Queensland 4072 , Australia
| | - Claudia E Vickers
- Australian Institute of Bioengineering and Nanotechnology , The University of Queensland , Brisbane , Queensland 4072 , Australia
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15
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Phung TK, Rathjen AJ. Frequency - dependent advantage in wheat. Theor Appl Genet 1976; 48:289-297. [PMID: 24413841 DOI: 10.1007/bf00264961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/1976] [Indexed: 06/03/2023]
Abstract
The effect of frequency-dependent advantage in wheat was investigated by growing F1. hybrid seeds of the crosses (Warimek X Halberd) and (Wariquam x Halberd) in a stand of Halberd at 5 frequencies: 4 %, 6.25 %, 11.11 %, 25 % and 50 %. A reduction of 35 % to 40 % in grain yield of individual plants was observed with both hybrids as their frequencies changed from 4% to 50 %. A similar trend with frequency was noted for several other plant characteristics, including total grain number, particularly with those measured towards the end of the growing season. Halberd plants did not show a corresponding increase as their frequency declined from 96 % to 50%. - The following season, 76 F4 lines from the cross (Warimek X Halberd) and 70 F4 lines from (Wariquam x Gabo) were grown at frequencies of 6.25% and 18.75% in machine sown stands of Wariquam and Halberd, respectively. Again grain yield decreased as genotypic frequency increased. Furthermore, there was a positive correlation between frequency-dependent advantage and relative grain yield, suggesting that high yielding genotypes show a greater advantage at low frequencies than lower yielding ones.
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Affiliation(s)
- T K Phung
- Department of Agronomy, Waite Agricultural Research Institute, The University of Adelaide, Glen Osmond, South Australia
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