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Kellman BP, Mariethoz J, Zhang Y, Shaul S, Alteri M, Sandoval D, Jeffris M, Armingol E, Bao B, Lisacek F, Bojar D, Lewis NE. Decoding glycosylation potential from protein structure across human glycoproteins with a multi-view recurrent neural network. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.15.594334. [PMID: 38798633 PMCID: PMC11118808 DOI: 10.1101/2024.05.15.594334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Glycosylation is described as a non-templated biosynthesis. Yet, the template-free premise is antithetical to the observation that different N-glycans are consistently placed at specific sites. It has been proposed that glycosite-proximal protein structures could constrain glycosylation and explain the observed microheterogeneity. Using site-specific glycosylation data, we trained a hybrid neural network to parse glycosites (recurrent neural network) and match them to feasible N-glycosylation events (graph neural network). From glycosite-flanking sequences, the algorithm predicts most human N-glycosylation events documented in the GlyConnect database and proposed structures corresponding to observed monosaccharide composition of the glycans at these sites. The algorithm also recapitulated glycosylation in Enhanced Aromatic Sequons, SARS-CoV-2 spike, and IgG3 variants, thus demonstrating the ability of the algorithm to predict both glycan structure and abundance. Thus, protein structure constrains glycosylation, and the neural network enables predictive in silico glycosylation of uncharacterized or novel protein sequences and genetic variants.
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Affiliation(s)
- Benjamin P. Kellman
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
- Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA
- Augment Biologics, La Jolla, CA 92092
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
| | - Julien Mariethoz
- Proteome Informatics Group, Swiss Institute of Bioinformatics, CH-1227 Geneva, Switzerland
| | - Yujie Zhang
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
| | - Sigal Shaul
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Mia Alteri
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Daniel Sandoval
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Mia Jeffris
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Erick Armingol
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
- Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA
| | - Bokan Bao
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
- Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA
| | - Frederique Lisacek
- Proteome Informatics Group, Swiss Institute of Bioinformatics, CH-1227 Geneva, Switzerland
- Computer Science Department & Section of Biology, University of Geneva, route de Drize 7, CH-1227, Geneva, Switzerland
| | - Daniel Bojar
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg 41390, Sweden
- Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg 41390, Sweden
| | - Nathan E. Lewis
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
- Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
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Wei E, Bou-Nader C, Perry ML, Fattah R, Zhang J, Leppla SH, Bothra A. S9.6 Antibody-Enzyme Conjugates for the Detection of DNA-RNA Hybrids. Bioconjug Chem 2023; 34:834-844. [PMID: 37194248 DOI: 10.1021/acs.bioconjchem.2c00609] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Diagnosis of infectious agents is increasingly done by the detection of unique nucleic acid sequences, typically using methods such as PCR that specifically amplify these sequences. A largely neglected alternative approach is to use antibodies that recognize nucleic acids. The unique monoclonal antibody S9.6 recognizes DNA-RNA hybrids in a largely sequence-independent manner. S9.6 has been used in several cases for the analysis of nucleic acids. Extending our recent determination of the structure of S9.6 Fab bound to a DNA-RNA hybrid, we have developed reagents and methods for the sensitive detection of specific DNA and RNA sequences. To facilitate the use in diagnostics, we conjugated the S9.6 Fab to the highly active and well-characterized reporter enzyme human-secreted embryonic alkaline phosphatase (SEAP). Two approaches were utilized for conjugation. The first used sortase A (SrtA), which generates a covalent peptide bond between short amino acid sequences added to recombinantly produced S9.6 Fab and SEAP. The second approach was to genetically fuse the S9.6 Fab and SEAP so that the two are produced as a single molecule. Using these two antibody-SEAP proteins, we developed a simplified ELISA format for the identification of synthetic DNA-RNA hybrids, which can be optimized for detecting nucleic acids of pathogens, as well as for other applications. We successfully used this immunosorbent assay, HC-S, to identify DNA-RNA hybrids in solution with high specificity and sensitivity.
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Affiliation(s)
- Elena Wei
- Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, Bethesda Maryland 20892, United States
| | - Charles Bou-Nader
- Laboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland 20892, United States
| | - Megan L Perry
- Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, Bethesda Maryland 20892, United States
| | - Rasem Fattah
- Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, Bethesda Maryland 20892, United States
| | - Jinwei Zhang
- Laboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland 20892, United States
| | - Stephen H Leppla
- Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, Bethesda Maryland 20892, United States
| | - Ankur Bothra
- Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, Bethesda Maryland 20892, United States
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Kaur J, Mirgane HA, Bhosale SV, Singh PK. A cationic AIEgen and hexametaphosphate based simple and convenient fluorometric assay for alkaline phosphatase and its inhibitor. Org Biomol Chem 2022; 20:4599-4607. [PMID: 35603784 DOI: 10.1039/d2ob00367h] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Alkaline phosphatase (ALP) is an important biomarker to diagnose a number of diseases, such as anaemia, hepatobiliary diseases, chronic nephritis, and hypothyroidism. Therefore, the development of simple and convenient assays to monitor levels of ALP is highly desirable. In the present study, an aggregation-induced emission based simple, real-time, and direct fluorescence detection platform has been developed, by using a tetracationic pyridinium derivative of tetraphenylethylene (TPy-TPE) and anionic sodium hexametaphosphate (HMP) as component units. The sensing system, based on the TPy-TPE-HMP assembly, is highly responsive to the ALP dependent disintegration of the TPy-TPE-HMP aggregation complex, owing to HMP digestion by ALP. The sensing platform has an ALP detection limit of 16 mU mL-1 and linear range of 0-742 mU mL-1, respectively. The enzyme kinetic parameters, Km and Vmax, have been evaluated. In addition, the potential applicability of the TPy-TPE-HMP sensing system has also been shown with diluted human serum samples. Moreover, the TPy-TPE-HMP probe system is also useful for screening inhibitors of ALP.
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Affiliation(s)
- Jasvir Kaur
- Radiation & Photochemistry Division, Bhabha Atomic Research Centre, Mumbai 400 085, India.
| | - Harshad A Mirgane
- School of Chemical Sciences, Goa University, Taleigao Plateau, Goa 403 206, India
| | - Sheshanath V Bhosale
- School of Chemical Sciences, Goa University, Taleigao Plateau, Goa 403 206, India
| | - Prabhat K Singh
- Radiation & Photochemistry Division, Bhabha Atomic Research Centre, Mumbai 400 085, India. .,Homi Bhabha National Institute, Anushaktinagar, Mumbai-400085, India
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Skurska E, Szulc B, Maszczak-Seneczko D, Wiktor M, Wiertelak W, Makowiecka A, Olczak M. Incorporation of fucose into glycans independent of the GDP-fucose transporter SLC35C1 preferentially utilizes salvaged over de novo GDP-fucose. J Biol Chem 2022; 298:102206. [PMID: 35772493 PMCID: PMC9304781 DOI: 10.1016/j.jbc.2022.102206] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 06/22/2022] [Accepted: 06/23/2022] [Indexed: 11/29/2022] Open
Abstract
Mutations in the SLC35C1 gene encoding the Golgi GDP-fucose transporter are known to cause leukocyte adhesion deficiency II. However, improvement of fucosylation in leukocyte adhesion deficiency II patients treated with exogenous fucose suggests the existence of an SLC35C1-independent route of GDP-fucose transport, which remains a mystery. To investigate this phenomenon, we developed and characterized a human cell–based model deficient in SLC35C1 activity. The resulting cells were cultured in the presence/absence of exogenous fucose and mannose, followed by examination of fucosylation potential and nucleotide sugar levels. We found that cells displayed low but detectable levels of fucosylation in the absence of SLC35C1. Strikingly, we show that defects in fucosylation were almost completely reversed upon treatment with millimolar concentrations of fucose. Furthermore, we show that even if fucose was supplemented at nanomolar concentrations, it was still incorporated into glycans by these knockout cells. We also found that the SLC35C1-independent transport preferentially utilized GDP-fucose from the salvage pathway over the de novo biogenesis pathway as a source of this substrate. Taken together, our results imply that the Golgi systems of GDP-fucose transport discriminate between substrate pools obtained from different metabolic pathways, which suggests a functional connection between nucleotide sugar transporters and nucleotide sugar synthases.
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Affiliation(s)
- Edyta Skurska
- Faculty of Biotechnology, University of Wroclaw, Poland, Wrocław, Poland
| | - Bożena Szulc
- Faculty of Biotechnology, University of Wroclaw, Poland, Wrocław, Poland
| | | | - Maciej Wiktor
- Faculty of Biotechnology, University of Wroclaw, Poland, Wrocław, Poland
| | - Wojciech Wiertelak
- Faculty of Biotechnology, University of Wroclaw, Poland, Wrocław, Poland
| | | | - Mariusz Olczak
- Faculty of Biotechnology, University of Wroclaw, Poland, Wrocław, Poland.
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