1
|
Masson HO, Borland D, Reilly J, Telleria A, Shrivastava S, Watson M, Bustillos L, Li Z, Capps L, Kellman BP, King ZA, Richelle A, Lewis NE, Robasky K. ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data. STAR Protoc 2023; 4:102069. [PMID: 36853701 PMCID: PMC9898792 DOI: 10.1016/j.xpro.2023.102069] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 12/02/2022] [Accepted: 01/09/2023] [Indexed: 01/27/2023] Open
Abstract
Understanding cellular metabolism is important across biotechnology and biomedical research and has critical implications in a broad range of normal and pathological conditions. Here, we introduce the user-friendly web-based platform ImmCellFie, which allows the comprehensive analysis of metabolic functions inferred from transcriptomic or proteomic data. We explain how to set up a run using publicly available omics data and how to visualize the results. The ImmCellFie algorithm pushes beyond conventional statistical enrichment and incorporates complex biological mechanisms to quantify cell activity. For complete details on the use and execution of this protocol, please refer to Richelle et al. (2021).1.
Collapse
Affiliation(s)
- Helen O Masson
- Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA
| | - David Borland
- Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA
| | - Jason Reilly
- Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA
| | - Adrian Telleria
- Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA
| | - Shalki Shrivastava
- Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA
| | - Matt Watson
- Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA
| | - Luthfi Bustillos
- Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA
| | - Zerong Li
- Department of Pediatrics, UC San Diego, La Jolla, CA 92093, USA
| | - Laura Capps
- Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA
| | - Benjamin P Kellman
- Bioinformatics and Systems Biology Program, UC San Diego, La Jolla, CA 92093, USA; Department of Pediatrics, UC San Diego, La Jolla, CA 92093, USA
| | - Zachary A King
- Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA
| | - Anne Richelle
- Department of Pediatrics, UC San Diego, La Jolla, CA 92093, USA
| | - Nathan E Lewis
- Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA; Department of Pediatrics, UC San Diego, La Jolla, CA 92093, USA.
| | - Kimberly Robasky
- Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA; Department of Genetics, University of North Carolina at Chapel Hill, Chapel H0069ll, NC 27514, USA; School of Information and Library Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Carolina Health and Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
| |
Collapse
|
2
|
Zhang Y, Krishnan S, Bao B, Chiang AWT, Sorrentino JT, Schinn SM, Kellman BP, Lewis NE. Preparing glycomics data for robust statistical analysis with GlyCompareCT. STAR Protoc 2023; 4:102162. [PMID: 36920914 PMCID: PMC10025275 DOI: 10.1016/j.xpro.2023.102162] [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: 09/12/2022] [Revised: 12/27/2022] [Accepted: 02/13/2023] [Indexed: 03/16/2023] Open
Abstract
GlyCompareCT is a portable command-line tool to facilitate downstream glycomic data analyses, by addressing data inherent sparsity and non-independence. Inputting glycan abundances, users can run GlyCompareCT with one line of code to obtain the abundances of a minimal substructure set, named glycomotif, thereby quantifying hidden biosynthetic relationships between measured glycans. Optional parameters tuning and annotation are supported for personal preference. For complete details on the use and execution of this protocol, please refer to Bao et al. (2021).1.
Collapse
Affiliation(s)
- Yujie Zhang
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA
| | - Sridevi Krishnan
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA
| | - Bokan Bao
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA
| | - Austin W T Chiang
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA
| | - James T Sorrentino
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA
| | - Song-Min Schinn
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA
| | - Benjamin P Kellman
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Augment Biologics, 9450 SW Gemini Dr. #46664, Beaverton, OR 97008, USA.
| | - Nathan E Lewis
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive MC 0760, La Jolla, CA 92093, USA.
| |
Collapse
|
3
|
Sasmal A, Khan N, Khedri Z, Kellman BP, Srivastava S, Verhagen A, Yu H, Bruntse AB, Diaz S, Varki N, Beddoe T, Paton AW, Paton JC, Chen X, Lewis NE, Varki A. Simple and practical sialoglycan encoding system reveals vast diversity in nature and identifies a universal sialoglycan-recognizing probe derived from AB5 toxin B subunits. Glycobiology 2022; 32:1101-1115. [PMID: 36048714 PMCID: PMC9680115 DOI: 10.1093/glycob/cwac057] [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: 04/04/2022] [Revised: 08/20/2022] [Accepted: 08/23/2022] [Indexed: 01/07/2023] Open
Abstract
Vertebrate sialic acids (Sias) display much diversity in modifications, linkages, and underlying glycans. Slide microarrays allow high-throughput explorations of sialoglycan-protein interactions. A microarray presenting ~150 structurally defined sialyltrisaccharides with various Sias linkages and modifications still poses challenges in planning, data sorting, visualization, and analysis. To address these issues, we devised a simple 9-digit code for sialyltrisaccharides with terminal Sias and underlying two monosaccharides assigned from the nonreducing end, with 3 digits assigning a monosaccharide, its modifications, and linkage. Calculations based on the encoding system reveal >113,000 likely linear sialyltrisaccharides in nature. Notably, a biantennary N-glycan with 2 terminal sialyltrisaccharides could thus have >1010 potential combinations and a triantennary N-glycan with 3 terminal sequences, >1015 potential combinations. While all possibilities likely do not exist in nature, sialoglycans encode enormous diversity. While glycomic approaches are used to probe such diverse sialomes, naturally occurring bacterial AB5 toxin B subunits are simpler tools to track the dynamic sialome in biological systems. Sialoglycan microarray was utilized to compare sialoglycan-recognizing bacterial toxin B subunits. Unlike the poor correlation between B subunits and species phylogeny, there is stronger correlation with Sia-epitope preferences. Further supporting this pattern, we report a B subunit (YenB) from Yersinia enterocolitica (broad host range) recognizing almost all sialoglycans in the microarray, including 4-O-acetylated-Sias not recognized by a Yersinia pestis orthologue (YpeB). Differential Sia-binding patterns were also observed with phylogenetically related B subunits from Escherichia coli (SubB), Salmonella Typhi (PltB), Salmonella Typhimurium (ArtB), extra-intestinal E.coli (EcPltB), Vibrio cholera (CtxB), and cholera family homologue of E. coli (EcxB).
Collapse
Affiliation(s)
- Aniruddha Sasmal
- Glycobiology Research and Training Center, University of California San Diego, La Jolla, CA 92093, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Naazneen Khan
- Glycobiology Research and Training Center, University of California San Diego, La Jolla, CA 92093, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Zahra Khedri
- Glycobiology Research and Training Center, University of California San Diego, La Jolla, CA 92093, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Benjamin P Kellman
- Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA
| | - Saurabh Srivastava
- Glycobiology Research and Training Center, University of California San Diego, La Jolla, CA 92093, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Andrea Verhagen
- Glycobiology Research and Training Center, University of California San Diego, La Jolla, CA 92093, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Hai Yu
- Department of Chemistry, University of California Davis, CA 95616, USA
| | - Anders Bech Bruntse
- Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA
| | - Sandra Diaz
- Glycobiology Research and Training Center, University of California San Diego, La Jolla, CA 92093, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Nissi Varki
- Glycobiology Research and Training Center, University of California San Diego, La Jolla, CA 92093, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Travis Beddoe
- Department of Animal, Plant and Soil Science and Centre for AgriBioscience, La Trobe University, Bundoora, Victoria 3086, Australia
| | - Adrienne W Paton
- Research Centre for Infectious Diseases, Department of Molecular and Biomedical Science, University of Adelaide, Adelaide, SA 5005, Australia
| | - James C Paton
- Research Centre for Infectious Diseases, Department of Molecular and Biomedical Science, University of Adelaide, Adelaide, SA 5005, Australia
| | - Xi Chen
- Department of Chemistry, University of California Davis, CA 95616, USA
| | - Nathan E Lewis
- Glycobiology Research and Training Center, University of California San Diego, La Jolla, CA 92093, USA
- Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA
| | - Ajit Varki
- Glycobiology Research and Training Center, University of California San Diego, La Jolla, CA 92093, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Research Centre for Infectious Diseases, Department of Molecular and Biomedical Science, University of Adelaide, Adelaide, SA 5005, Australia
- Department of Medicine, University of California at San Diego, La Jolla, CA 92093, USA
| |
Collapse
|
4
|
Kellman BP, Richelle A, Yang JY, Chapla D, Chiang AWT, Najera JA, Liang C, Fürst A, Bao B, Koga N, Mohammad MA, Bruntse AB, Haymond MW, Moremen KW, Bode L, Lewis NE. Elucidating Human Milk Oligosaccharide biosynthetic genes through network-based multi-omics integration. Nat Commun 2022; 13:2455. [PMID: 35508452 PMCID: PMC9068700 DOI: 10.1038/s41467-022-29867-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 04/04/2022] [Indexed: 12/18/2022] Open
Abstract
Human Milk Oligosaccharides (HMOs) are abundant carbohydrates fundamental to infant health and development. Although these oligosaccharides were discovered more than half a century ago, their biosynthesis in the mammary gland remains largely uncharacterized. Here, we use a systems biology framework that integrates glycan and RNA expression data to construct an HMO biosynthetic network and predict glycosyltransferases involved. To accomplish this, we construct models describing the most likely pathways for the synthesis of the oligosaccharides accounting for >95% of the HMO content in human milk. Through our models, we propose candidate genes for elongation, branching, fucosylation, and sialylation of HMOs. Our model aggregation approach recovers 2 of 2 previously known gene-enzyme relations and 2 of 3 empirically confirmed gene-enzyme relations. The top genes we propose for the remaining 5 linkage reactions are consistent with previously published literature. These results provide the molecular basis of HMO biosynthesis necessary to guide progress in HMO research and application with the goal of understanding and improving infant health and development. Human milk oligosaccharides are fundamental to infant health. Here the authors deploy a multi-omics systems biology approach to elucidate their biosynthetic network, including the associated enzymes and likely structures of ambiguous oligosaccharides.
Collapse
Affiliation(s)
- Benjamin P Kellman
- 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.,Department of Bioengineering, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Anne Richelle
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Jeong-Yeh Yang
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA
| | - Digantkumar Chapla
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA
| | - Austin W T Chiang
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Julia A Najera
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Chenguang Liang
- 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
| | - Annalee Fürst
- Department of Pediatrics, 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.,Department of Bioengineering, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Natalia Koga
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Mahmoud A Mohammad
- Department of Pediatrics, Children's Nutrition Research Center, US Department of Agriculture/Agricultural Research Service, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Anders Bech Bruntse
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Morey W Haymond
- Department of Pediatrics, Children's Nutrition Research Center, US Department of Agriculture/Agricultural Research Service, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Kelley W Moremen
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA
| | - Lars Bode
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, 92093, USA.,Larsson-Rosenquist Foundation Mother-Milk-Infant Center of Research Excellence (MOMI CORE), University of California, San Diego, La Jolla, CA, 92093, USA
| | - 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.
| |
Collapse
|
5
|
Thacker BE, Thorne KJ, Cartwright C, Park J, Glass K, Chea A, Kellman BP, Lewis NE, Wang Z, Di Nardo A, Sharfstein ST, Jeske W, Walenga J, Hogwood J, Gray E, Mulloy B, Esko JD, Glass CA. Multiplex genome editing of mammalian cells for producing recombinant heparin. Metab Eng 2022; 70:155-165. [PMID: 35038554 DOI: 10.1016/j.ymben.2022.01.002] [Citation(s) in RCA: 5] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 01/05/2022] [Accepted: 01/09/2022] [Indexed: 10/19/2022]
Abstract
Heparin is an essential anticoagulant used for treating and preventing thrombosis. However, the complexity of heparin has hindered the development of a recombinant source, making its supply dependent on a vulnerable animal population. In nature, heparin is produced exclusively in mast cells, which are not suitable for commercial production, but mastocytoma cells are readily grown in culture and make heparan sulfate, a closely related glycosaminoglycan that lacks anticoagulant activity. Using gene expression profiling of mast cells as a guide, a multiplex genome engineering strategy was devised to produce heparan sulfate with high anticoagulant potency and to eliminate contaminating chondroitin sulfate from mastocytoma cells. The heparan sulfate purified from engineered cells grown in chemically defined medium has anticoagulant potency that exceeds porcine-derived heparin and confers anticoagulant activity to the blood of healthy mice. This work demonstrates the feasibility of producing recombinant heparin from mammalian cell culture as an alternative to animal sources.
Collapse
Affiliation(s)
- Bryan E Thacker
- TEGA Therapeutics Inc, 3550 General Atomics Court, G02-102, San Diego, CA, 92121, USA
| | - Kristen J Thorne
- TEGA Therapeutics Inc, 3550 General Atomics Court, G02-102, San Diego, CA, 92121, USA
| | - Colin Cartwright
- TEGA Therapeutics Inc, 3550 General Atomics Court, G02-102, San Diego, CA, 92121, USA
| | - Jeeyoung Park
- TEGA Therapeutics Inc, 3550 General Atomics Court, G02-102, San Diego, CA, 92121, USA
| | - Kimberly Glass
- TEGA Therapeutics Inc, 3550 General Atomics Court, G02-102, San Diego, CA, 92121, USA
| | - Annie Chea
- TEGA Therapeutics Inc, 3550 General Atomics Court, G02-102, San Diego, CA, 92121, USA
| | - Benjamin P Kellman
- Departments of Pediatrics and Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA
| | - Nathan E Lewis
- Departments of Pediatrics and Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA
| | - Zhenping Wang
- Department of Dermatology, University of California, San Diego, School of Medicine, 9500 Gilman Drive, La Jolla, CA, 92093, USA
| | - Anna Di Nardo
- Department of Dermatology, University of California, San Diego, School of Medicine, 9500 Gilman Drive, La Jolla, CA, 92093, USA
| | - Susan T Sharfstein
- College of Nanoscale Science and Engineering, SUNY Polytechnic Institute, 257 Fuller Road, Albany, NY, 12203, USA
| | - Walter Jeske
- Cardiovascular Research Institute, Loyola University Chicago, Health Sciences Division, 2160 S 1st Avenue, Maywood, IL, 60153, USA
| | - Jeanine Walenga
- Cardiovascular Research Institute, Loyola University Chicago, Health Sciences Division, 2160 S 1st Avenue, Maywood, IL, 60153, USA
| | - John Hogwood
- National Institute for Biological Standards and Control, Blanche Lane, South Mimms, Herts, EN6 3QG, UK
| | - Elaine Gray
- National Institute for Biological Standards and Control, Blanche Lane, South Mimms, Herts, EN6 3QG, UK
| | - Barbara Mulloy
- National Institute for Biological Standards and Control, Blanche Lane, South Mimms, Herts, EN6 3QG, UK
| | - Jeffrey D Esko
- Glycobiology Research and Training Center, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA; Department of Cellular and Molecular Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA
| | - Charles A Glass
- TEGA Therapeutics Inc, 3550 General Atomics Court, G02-102, San Diego, CA, 92121, USA.
| |
Collapse
|
6
|
Bao B, Kellman BP, Chiang AWT, Zhang Y, Sorrentino JT, York AK, Mohammad MA, Haymond MW, Bode L, Lewis NE. Correcting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis. Nat Commun 2021; 12:4988. [PMID: 34404781 PMCID: PMC8371009 DOI: 10.1038/s41467-021-25183-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 07/27/2021] [Indexed: 11/20/2022] Open
Abstract
Glycans are fundamental cellular building blocks, involved in many organismal functions. Advances in glycomics are elucidating the essential roles of glycans. Still, it remains challenging to properly analyze large glycomics datasets, since the abundance of each glycan is dependent on many other glycans that share many intermediate biosynthetic steps. Furthermore, the overlap of measured glycans can be low across samples. We address these challenges with GlyCompare, a glycomic data analysis approach that accounts for shared biosynthetic steps for all measured glycans to correct for sparsity and non-independence in glycomics, which enables direct comparison of different glycoprofiles and increases statistical power. Using GlyCompare, we study diverse N-glycan profiles from glycoengineered erythropoietin. We obtain biologically meaningful clustering of mutant cell glycoprofiles and identify knockout-specific effects of fucosyltransferase mutants on tetra-antennary structures. We further analyze human milk oligosaccharide profiles and find mother’s fucosyltransferase-dependent secretor-status indirectly impact the sialylation. Finally, we apply our method on mucin-type O-glycans, gangliosides, and site-specific compositional glycosylation data to reveal tissues and disease-specific glycan presentations. Our substructure-oriented approach will enable researchers to take full advantage of the growing power and size of glycomics data. Glycomics can uncover important molecular changes but measured glycans are highly interconnected and incompatible with common statistical methods, introducing pitfalls during analysis. Here, the authors develop an approach to identify glycan dependencies across samples to facilitate comparative glycomics.
Collapse
Affiliation(s)
- Bokan Bao
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA.,Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA.,Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Benjamin P Kellman
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA.,Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA.,Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Austin W T Chiang
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA.,The Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, La Jolla, CA, USA
| | - Yujie Zhang
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - James T Sorrentino
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA.,Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA, USA.,Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Austin K York
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Mahmoud A Mohammad
- Department of Pediatrics, Children's Nutrition Research Center, US Department of Agriculture/Agricultural Research Service, Baylor College of Medicine, Houston, TX, USA
| | - Morey W Haymond
- Department of Pediatrics, Children's Nutrition Research Center, US Department of Agriculture/Agricultural Research Service, Baylor College of Medicine, Houston, TX, USA
| | - Lars Bode
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Nathan E Lewis
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA. .,Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA. .,The Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, La Jolla, CA, USA.
| |
Collapse
|
7
|
Richelle A, Kellman BP, Wenzel AT, Chiang AW, Reagan T, Gutierrez JM, Joshi C, Li S, Liu JK, Masson H, Lee J, Li Z, Heirendt L, Trefois C, Juarez EF, Bath T, Borland D, Mesirov JP, Robasky K, Lewis NE. Model-based assessment of mammalian cell metabolic functionalities using omics data. Cell Rep Methods 2021; 1:100040. [PMID: 34761247 PMCID: PMC8577426 DOI: 10.1016/j.crmeth.2021.100040] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/24/2021] [Accepted: 05/24/2021] [Indexed: 12/30/2022]
Abstract
Omics experiments are ubiquitous in biological studies, leading to a deluge of data. However, it is still challenging to connect changes in these data to changes in cell functions because of complex interdependencies between genes, proteins, and metabolites. Here, we present a framework allowing researchers to infer how metabolic functions change on the basis of omics data. To enable this, we curated and standardized lists of metabolic tasks that mammalian cells can accomplish. Genome-scale metabolic networks were used to define gene sets associated with each metabolic task. We further developed a framework to overlay omics data on these sets and predict pathway usage for each metabolic task. We demonstrated how this approach can be used to quantify metabolic functions of diverse biological samples from the single cell to whole tissues and organs by using multiple transcriptomic datasets. To facilitate its adoption, we integrated the approach into GenePattern (www.genepattern.org-CellFie).
Collapse
Affiliation(s)
- Anne Richelle
- Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
- Department of Pediatrics, University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
| | - Benjamin P. Kellman
- Department of Pediatrics, University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
- Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA 92093, USA
| | - Alexander T. Wenzel
- Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Medicine, University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
- Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Austin W.T. Chiang
- Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
- Department of Pediatrics, University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
| | - Tyler Reagan
- Department of Pediatrics, University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
| | - Jahir M. Gutierrez
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Chintan Joshi
- Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
- Department of Pediatrics, University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
| | - Shangzhong Li
- Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Joanne K. Liu
- Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA 92093, USA
| | - Helen Masson
- Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Jooyong Lee
- Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
- Department of Pediatrics, University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
| | - Zerong Li
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Laurent Heirendt
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Christophe Trefois
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Edwin F. Juarez
- Department of Medicine, University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
- Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Tyler Bath
- Department of Biomedical Informatics, UC San Diego Health, University of California, San Diego, La Jolla, CA 92093, USA
| | - David Borland
- Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA
| | - Jill P. Mesirov
- Department of Medicine, University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
- Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Kimberly Robasky
- Renaissance Computing Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
- School of Information and Library Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Carolina Health and Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Nathan E. Lewis
- Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
- Department of Pediatrics, University of California, San Diego, School of Medicine, La Jolla, CA 92093, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| |
Collapse
|
8
|
Chiang AWT, Baghdassarian HM, Kellman BP, Bao B, Sorrentino JT, Liang C, Kuo CC, Masson HO, Lewis NE. Systems glycobiology for discovering drug targets, biomarkers, and rational designs for glyco-immunotherapy. J Biomed Sci 2021; 28:50. [PMID: 34158025 PMCID: PMC8218521 DOI: 10.1186/s12929-021-00746-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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: 01/15/2021] [Accepted: 06/16/2021] [Indexed: 02/06/2023] Open
Abstract
Cancer immunotherapy has revolutionized treatment and led to an unprecedented wave of immuno-oncology research during the past two decades. In 2018, two pioneer immunotherapy innovators, Tasuku Honjo and James P. Allison, were awarded the Nobel Prize for their landmark cancer immunotherapy work regarding “cancer therapy by inhibition of negative immune regulation” –CTLA4 and PD-1 immune checkpoints. However, the challenge in the coming decade is to develop cancer immunotherapies that can more consistently treat various patients and cancer types. Overcoming this challenge requires a systemic understanding of the underlying interactions between immune cells, tumor cells, and immunotherapeutics. The role of aberrant glycosylation in this process, and how it influences tumor immunity and immunotherapy is beginning to emerge. Herein, we review current knowledge of miRNA-mediated regulatory mechanisms of glycosylation machinery, and how these carbohydrate moieties impact immune cell and tumor cell interactions. We discuss these insights in the context of clinical findings and provide an outlook on modulating the regulation of glycosylation to offer new therapeutic opportunities. Finally, in the coming age of systems glycobiology, we highlight how emerging technologies in systems glycobiology are enabling deeper insights into cancer immuno-oncology, helping identify novel drug targets and key biomarkers of cancer, and facilitating the rational design of glyco-immunotherapies. These hold great promise clinically in the immuno-oncology field.
Collapse
Affiliation(s)
- Austin W T Chiang
- Department of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA. .,The Novo Nordisk Foundation Center for Biosustainability at the University of California, La Jolla, San Diego, CA, 92093, USA.
| | - Hratch M Baghdassarian
- Department of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA.,The Novo Nordisk Foundation Center for Biosustainability at the University of California, La Jolla, San Diego, CA, 92093, USA.,Bioinformatics and Systems Biology Graduate Program, University of California, La Jolla, San Diego, CA, 92093, USA
| | - Benjamin P Kellman
- Department of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA.,The Novo Nordisk Foundation Center for Biosustainability at the University of California, La Jolla, San Diego, CA, 92093, USA.,Bioinformatics and Systems Biology Graduate Program, University of California, La Jolla, San Diego, CA, 92093, USA
| | - Bokan Bao
- Department of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA.,The Novo Nordisk Foundation Center for Biosustainability at the University of California, La Jolla, San Diego, CA, 92093, USA.,Bioinformatics and Systems Biology Graduate Program, University of California, La Jolla, San Diego, CA, 92093, USA
| | - James T Sorrentino
- Department of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA.,The Novo Nordisk Foundation Center for Biosustainability at the University of California, La Jolla, San Diego, CA, 92093, USA.,Bioinformatics and Systems Biology Graduate Program, University of California, La Jolla, San Diego, CA, 92093, USA
| | - Chenguang Liang
- Department of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA.,Department of Bioengineering, University of California, La Jolla, San Diego, CA, 92093, USA
| | - Chih-Chung Kuo
- Department of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA.,The Novo Nordisk Foundation Center for Biosustainability at the University of California, La Jolla, San Diego, CA, 92093, USA.,Department of Bioengineering, University of California, La Jolla, San Diego, CA, 92093, USA
| | - Helen O Masson
- Department of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA.,Department of Bioengineering, University of California, La Jolla, San Diego, CA, 92093, USA
| | - Nathan E Lewis
- Department of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA.,The Novo Nordisk Foundation Center for Biosustainability at the University of California, La Jolla, San Diego, CA, 92093, USA.,Department of Bioengineering, University of California, La Jolla, San Diego, CA, 92093, USA.,The National Biologics Facility, Technical University of Denmark, Kongens Lyngby, Denmark
| |
Collapse
|
9
|
Kellman BP, Lewis NE. Big-Data Glycomics: Tools to Connect Glycan Biosynthesis to Extracellular Communication. Trends Biochem Sci 2021; 46:284-300. [PMID: 33349503 PMCID: PMC7954846 DOI: 10.1016/j.tibs.2020.10.004] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [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: 01/04/2020] [Revised: 10/05/2020] [Accepted: 10/22/2020] [Indexed: 12/12/2022]
Abstract
Characteristically, cells must sense and respond to environmental cues. Despite the importance of cell-cell communication, our understanding remains limited and often lacks glycans. Glycans decorate proteins and cell membranes at the cell-environment interface, and modulate intercellular communication, from development to pathogenesis. Providing further challenges, glycan biosynthesis and cellular behavior are co-regulating systems. Here, we discuss how glycosylation contributes to extracellular responses and signaling. We further organize approaches for disentangling the roles of glycans in multicellular interactions using newly available datasets and tools, including glycan biosynthesis models, omics datasets, and systems-level analyses. Thus, emerging tools in big data analytics and systems biology are facilitating novel insights on glycans and their relationship with multicellular behavior.
Collapse
Affiliation(s)
- Benjamin P Kellman
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA; Department of Bioengineering, University of California San Diego School of Medicine, La Jolla, CA, USA; Bioinformatics and Systems Biology Program, University of California San Diego School of Medicine, La Jolla, CA, USA
| | - Nathan E Lewis
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA; Department of Bioengineering, University of California San Diego School of Medicine, La Jolla, CA, USA; Bioinformatics and Systems Biology Program, University of California San Diego School of Medicine, La Jolla, CA, USA; Novo Nordisk Foundation Center for Biosustainability at the University of California San Diego School of Medicine, La Jolla, CA, USA.
| |
Collapse
|
10
|
Kellman BP, Baghdassarian HM, Pramparo T, Shamie I, Gazestani V, Begzati A, Li S, Nalabolu S, Murray S, Lopez L, Pierce K, Courchesne E, Lewis NE. Multiple freeze-thaw cycles lead to a loss of consistency in poly(A)-enriched RNA sequencing. BMC Genomics 2021; 22:69. [PMID: 33478392 PMCID: PMC7818915 DOI: 10.1186/s12864-021-07381-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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: 08/25/2020] [Accepted: 01/08/2021] [Indexed: 11/10/2022] Open
Abstract
Background Both RNA-Seq and sample freeze-thaw are ubiquitous. However, knowledge about the impact of freeze-thaw on downstream analyses is limited. The lack of common quality metrics that are sufficiently sensitive to freeze-thaw and RNA degradation, e.g. the RNA Integrity Score, makes such assessments challenging. Results Here we quantify the impact of repeated freeze-thaw cycles on the reliability of RNA-Seq by examining poly(A)-enriched and ribosomal RNA depleted RNA-seq from frozen leukocytes drawn from a toddler Autism cohort. To do so, we estimate the relative noise, or percentage of random counts, separating technical replicates. Using this approach we measured noise associated with RIN and freeze-thaw cycles. As expected, RIN does not fully capture sample degradation due to freeze-thaw. We further examined differential expression results and found that three freeze-thaws should extinguish the differential expression reproducibility of similar experiments. Freeze-thaw also resulted in a 3′ shift in the read coverage distribution along the gene body of poly(A)-enriched samples compared to ribosomal RNA depleted samples, suggesting that library preparation may exacerbate freeze-thaw-induced sample degradation. Conclusion The use of poly(A)-enrichment for RNA sequencing is pervasive in library preparation of frozen tissue, and thus, it is important during experimental design and data analysis to consider the impact of repeated freeze-thaw cycles on reproducibility. Graphical abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07381-z.
Collapse
Affiliation(s)
- Benjamin P Kellman
- Department of Pediatrics, University of California, San Diego, USA.,Bioinformatics and Systems Biology Program, University of California San Diego, San Diego, USA
| | - Hratch M Baghdassarian
- Department of Pediatrics, University of California, San Diego, USA.,Bioinformatics and Systems Biology Program, University of California San Diego, San Diego, USA
| | - Tiziano Pramparo
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, San Diego, USA
| | - Isaac Shamie
- Department of Pediatrics, University of California, San Diego, USA.,Bioinformatics and Systems Biology Program, University of California San Diego, San Diego, USA
| | - Vahid Gazestani
- Department of Pediatrics, University of California, San Diego, USA.,Autism Center of Excellence, Department of Neuroscience, University of California San Diego, San Diego, USA
| | - Arjana Begzati
- Department of Medicine, University of California San Diego, San Diego, USA
| | - Shangzhong Li
- Department of Pediatrics, University of California, San Diego, USA.,Department of Bioengineering, University of California San Diego, San Diego, USA
| | - Srinivasa Nalabolu
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, San Diego, USA
| | - Sarah Murray
- Department of Pathology, University of California San Diego, San Diego, USA
| | - Linda Lopez
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, San Diego, USA
| | - Karen Pierce
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, San Diego, USA
| | - Eric Courchesne
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, San Diego, USA
| | - Nathan E Lewis
- Department of Pediatrics, University of California, San Diego, USA. .,Department of Bioengineering, University of California San Diego, San Diego, USA. .,Novo Nordisk Foundation Center for Biosustainability, University of California, San Diego, La Jolla, USA.
| |
Collapse
|
11
|
Kellman BP, Zhang Y, Logomasini E, Meinhardt E, Godinez-Macias KP, Chiang AWT, Sorrentino JT, Liang C, Bao B, Zhou Y, Akase S, Sogabe I, Kouka T, Winzeler EA, Wilson IBH, Campbell MP, Neelamegham S, Krambeck FJ, Aoki-Kinoshita KF, Lewis NE. A consensus-based and readable extension of Linear Code for Reaction Rules (LiCoRR). Beilstein J Org Chem 2020; 16:2645-2662. [PMID: 33178355 PMCID: PMC7607430 DOI: 10.3762/bjoc.16.215] [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: 06/01/2020] [Accepted: 09/17/2020] [Indexed: 12/18/2022] Open
Abstract
Systems glycobiology aims to provide models and analysis tools that account for the biosynthesis, regulation, and interactions with glycoconjugates. To facilitate these methods, there is a need for a clear glycan representation accessible to both computers and humans. Linear Code, a linearized and readily parsable glycan structure representation, is such a language. For this reason, Linear Code was adapted to represent reaction rules, but the syntax has drifted from its original description to accommodate new and originally unforeseen challenges. Here, we delineate the consensuses and inconsistencies that have arisen through this adaptation. We recommend options for a consensus-based extension of Linear Code that can be used for reaction rule specification going forward. Through this extension and specification of Linear Code to reaction rules, we aim to minimize inconsistent symbology thereby making glycan database queries easier. With a clear guide for generating reaction rule descriptions, glycan synthesis models will be more interoperable and reproducible thereby moving glycoinformatics closer to compliance with FAIR standards. Here, we present Linear Code for Reaction Rules (LiCoRR), version 1.0, an unambiguous representation for describing glycosylation reactions in both literature and code.
Collapse
|
12
|
Zhao P, Praissman JL, Grant OC, Cai Y, Xiao T, Rosenbalm KE, Aoki K, Kellman BP, Bridger R, Barouch DH, Brindley MA, Lewis NE, Tiemeyer M, Chen B, Woods RJ, Wells L. Virus-Receptor Interactions of Glycosylated SARS-CoV-2 Spike and Human ACE2 Receptor. Cell Host Microbe 2020; 28:586-601.e6. [PMID: 32841605 PMCID: PMC7443692 DOI: 10.1016/j.chom.2020.08.004] [Citation(s) in RCA: 271] [Impact Index Per Article: 67.8] [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: 06/26/2020] [Revised: 07/22/2020] [Accepted: 08/10/2020] [Indexed: 12/13/2022]
Abstract
The SARS-CoV-2 betacoronavirus uses its highly glycosylated trimeric Spike protein to bind to the cell surface receptor angiotensin converting enzyme 2 (ACE2) glycoprotein and facilitate host cell entry. We utilized glycomics-informed glycoproteomics to characterize site-specific microheterogeneity of glycosylation for a recombinant trimer Spike mimetic immunogen and for a soluble version of human ACE2. We combined this information with bioinformatics analyses of natural variants and with existing 3D structures of both glycoproteins to generate molecular dynamics simulations of each glycoprotein both alone and interacting with one another. Our results highlight roles for glycans in sterically masking polypeptide epitopes and directly modulating Spike-ACE2 interactions. Furthermore, our results illustrate the impact of viral evolution and divergence on Spike glycosylation, as well as the influence of natural variants on ACE2 receptor glycosylation. Taken together, these data can facilitate immunogen design to achieve antibody neutralization and inform therapeutic strategies to inhibit viral infection.
Collapse
Affiliation(s)
- Peng Zhao
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, GA 30602, USA
| | - Jeremy L Praissman
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, GA 30602, USA
| | - Oliver C Grant
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, GA 30602, USA
| | - Yongfei Cai
- Division of Molecular Medicine, Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Tianshu Xiao
- Division of Molecular Medicine, Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Katelyn E Rosenbalm
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, GA 30602, USA
| | - Kazuhiro Aoki
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, GA 30602, USA
| | - Benjamin P Kellman
- Departments of Pediatrics and Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Robert Bridger
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, GA 30602, USA
| | - Dan H Barouch
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Melinda A Brindley
- Department of Infectious Diseases, Department of Population Health, Center for Vaccines and Immunology, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA
| | - Nathan E Lewis
- Departments of Pediatrics and Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA; Novo Nordisk Foundation Center for Biosustainability at UC San Diego, La Jolla, CA 92093, USA
| | - Michael Tiemeyer
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, GA 30602, USA
| | - Bing Chen
- Division of Molecular Medicine, Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Robert J Woods
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, GA 30602, USA.
| | - Lance Wells
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, GA 30602, USA.
| |
Collapse
|
13
|
Clausen TM, Sandoval DR, Spliid CB, Pihl J, Perrett HR, Painter CD, Narayanan A, Majowicz SA, Kwong EM, McVicar RN, Thacker BE, Glass CA, Yang Z, Torres JL, Golden GJ, Bartels PL, Porell RN, Garretson AF, Laubach L, Feldman J, Yin X, Pu Y, Hauser BM, Caradonna TM, Kellman BP, Martino C, Gordts PLSM, Chanda SK, Schmidt AG, Godula K, Leibel SL, Jose J, Corbett KD, Ward AB, Carlin AF, Esko JD. SARS-CoV-2 Infection Depends on Cellular Heparan Sulfate and ACE2. Cell 2020; 183:1043-1057.e15. [PMID: 32970989 PMCID: PMC7489987 DOI: 10.1016/j.cell.2020.09.033] [Citation(s) in RCA: 740] [Impact Index Per Article: 185.0] [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: 07/13/2020] [Revised: 08/16/2020] [Accepted: 09/10/2020] [Indexed: 12/28/2022]
Abstract
We show that SARS-CoV-2 spike protein interacts with both cellular heparan sulfate and angiotensin-converting enzyme 2 (ACE2) through its receptor-binding domain (RBD). Docking studies suggest a heparin/heparan sulfate-binding site adjacent to the ACE2-binding site. Both ACE2 and heparin can bind independently to spike protein in vitro, and a ternary complex can be generated using heparin as a scaffold. Electron micrographs of spike protein suggests that heparin enhances the open conformation of the RBD that binds ACE2. On cells, spike protein binding depends on both heparan sulfate and ACE2. Unfractionated heparin, non-anticoagulant heparin, heparin lyases, and lung heparan sulfate potently block spike protein binding and/or infection by pseudotyped virus and authentic SARS-CoV-2 virus. We suggest a model in which viral attachment and infection involves heparan sulfate-dependent enhancement of binding to ACE2. Manipulation of heparan sulfate or inhibition of viral adhesion by exogenous heparin presents new therapeutic opportunities. SARS-CoV-2 spike protein interacts with heparan sulfate and ACE2 through the RBD Heparan sulfate promotes Spike-ACE2 interaction SARS-CoV-2 infection is co-dependent on heparan sulfate and ACE2 Heparin and non-anticoagulant derivatives block SARS-CoV-2 binding and infection
Collapse
Affiliation(s)
- Thomas Mandel Clausen
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Department for Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; Department of Infectious Disease, Copenhagen University Hospital, 2200 Copenhagen, Denmark.
| | - Daniel R Sandoval
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Charlotte B Spliid
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Department for Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; Department of Infectious Disease, Copenhagen University Hospital, 2200 Copenhagen, Denmark
| | - Jessica Pihl
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Department for Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; Department of Infectious Disease, Copenhagen University Hospital, 2200 Copenhagen, Denmark
| | - Hailee R Perrett
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Chelsea D Painter
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, California, USA
| | - Anoop Narayanan
- Department of Biochemistry and Molecular Biology, The Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
| | - Sydney A Majowicz
- Department of Biochemistry and Molecular Biology, The Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
| | - Elizabeth M Kwong
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Rachael N McVicar
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Bryan E Thacker
- TEGA Therapeutics, Inc., 3550 General Atomics Court, G02-102, San Diego, CA 92121, USA
| | - Charles A Glass
- TEGA Therapeutics, Inc., 3550 General Atomics Court, G02-102, San Diego, CA 92121, USA
| | - Zhang Yang
- Copenhagen Center for Glycomics, Department of Molecular and Cellular Medicine, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Jonathan L Torres
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Gregory J Golden
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, California, USA
| | - Phillip L Bartels
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Glycobiology Research and Training Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Ryan N Porell
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093, USA
| | - Aaron F Garretson
- Department of Medicine, University of California, San Diego, La Jolla, CA 92037, USA
| | - Logan Laubach
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093, USA
| | - Jared Feldman
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA
| | - Xin Yin
- Immunity and Pathogenesis Program, Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Yuan Pu
- Immunity and Pathogenesis Program, Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Blake M Hauser
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA
| | | | - Benjamin P Kellman
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA; Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA 92093, USA
| | - Cameron Martino
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA; Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA 92093, USA
| | - Philip L S M Gordts
- Department of Medicine, University of California, San Diego, La Jolla, CA 92037, USA; Glycobiology Research and Training Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Sumit K Chanda
- Immunity and Pathogenesis Program, Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, CA 92037, USA
| | - Aaron G Schmidt
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA; Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
| | - Kamil Godula
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093, USA; Glycobiology Research and Training Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Sandra L Leibel
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA 92093, USA
| | - Joyce Jose
- Department of Biochemistry and Molecular Biology, The Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
| | - Kevin D Corbett
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Andrew B Ward
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Aaron F Carlin
- Department of Medicine, University of California, San Diego, La Jolla, CA 92037, USA
| | - Jeffrey D Esko
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Glycobiology Research and Training Center, University of California, San Diego, La Jolla, CA 92093, USA.
| |
Collapse
|
14
|
Martino C, Kellman BP, Sandoval DR, Clausen TM, Marotz CA, Song SJ, Wandro S, Zaramela LS, Salido Benítez RA, Zhu Q, Armingol E, Vázquez-Baeza Y, McDonald D, Sorrentino JT, Taylor B, Belda-Ferre P, Liang C, Zhang Y, Schifanella L, Klatt NR, Havulinna AS, Jousilahti P, Huang S, Haiminen N, Parida L, Kim HC, Swafford AD, Zengler K, Cheng S, Inouye M, Niiranen T, Jain M, Salomaa V, Esko JD, Lewis NE, Knight R. Bacterial modification of the host glycosaminoglycan heparan sulfate modulates SARS-CoV-2 infectivity. bioRxiv 2020. [PMID: 32839779 PMCID: PMC7444296 DOI: 10.1101/2020.08.17.238444] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The human microbiota has a close relationship with human disease and it remodels components of the glycocalyx including heparan sulfate (HS). Studies of the severe acute respiratory syndrome coronavirus (SARS-CoV-2) spike protein receptor binding domain suggest that infection requires binding to HS and angiotensin converting enzyme 2 (ACE2) in a codependent manner. Here, we show that commensal host bacterial communities can modify HS and thereby modulate SARS-CoV-2 spike protein binding and that these communities change with host age and sex. Common human-associated commensal bacteria whose genomes encode HS-modifying enzymes were identified. The prevalence of these bacteria and the expression of key microbial glycosidases in bronchoalveolar lavage fluid (BALF) was lower in adult COVID-19 patients than in healthy controls. The presence of HS-modifying bacteria decreased with age in two large survey datasets, FINRISK 2002 and American Gut, revealing one possible mechanism for the observed increase in COVID-19 susceptibility with age. In vitro , bacterial glycosidases from unpurified culture media supernatants fully blocked SARS-CoV-2 spike binding to human H1299 protein lung adenocarcinoma cells. HS-modifying bacteria in human microbial communities may regulate viral adhesion, and loss of these commensals could predispose individuals to infection. Understanding the impact of shifts in microbial community composition and bacterial lyases on SARS-CoV-2 infection may lead to new therapeutics and diagnosis of susceptibility.
Collapse
|
15
|
Zhao P, Praissman JL, Grant OC, Cai Y, Xiao T, Rosenbalm KE, Aoki K, Kellman BP, Bridger R, Barouch DH, Brindley MA, Lewis NE, Tiemeyer M, Chen B, Woods RJ, Wells L. Virus-Receptor Interactions of Glycosylated SARS-CoV-2 Spike and Human ACE2 Receptor. bioRxiv 2020:2020.06.25.172403. [PMID: 32743578 PMCID: PMC7386495 DOI: 10.1101/2020.06.25.172403] [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] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The current COVID-19 pandemic is caused by the SARS-CoV-2 betacoronavirus, which utilizes its highly glycosylated trimeric Spike protein to bind to the cell surface receptor ACE2 glycoprotein and facilitate host cell entry. We utilized glycomics-informed glycoproteomics to characterize site-specific microheterogeneity of glycosylation for a recombinant trimer Spike mimetic immunogen and for a soluble version of human ACE2. We combined this information with bioinformatic analyses of natural variants and with existing 3D-structures of both glycoproteins to generate molecular dynamics simulations of each glycoprotein alone and interacting with one another. Our results highlight roles for glycans in sterically masking polypeptide epitopes and directly modulating Spike-ACE2 interactions. Furthermore, our results illustrate the impact of viral evolution and divergence on Spike glycosylation, as well as the influence of natural variants on ACE2 receptor glycosylation that, taken together, can facilitate immunogen design to achieve antibody neutralization and inform therapeutic strategies to inhibit viral infection.
Collapse
Affiliation(s)
- Peng Zhao
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, Georgia, 30602, USA
| | - Jeremy L. Praissman
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, Georgia, 30602, USA
| | - Oliver C. Grant
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, Georgia, 30602, USA
| | - Yongfei Cai
- Division of Molecular Medicine, Children’s Hospital and Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Tianshu Xiao
- Division of Molecular Medicine, Children’s Hospital and Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Katelyn E. Rosenbalm
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, Georgia, 30602, USA
| | - Kazuhiro Aoki
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, Georgia, 30602, USA
| | - Benjamin P. Kellman
- Departments of Pediatrics and Bioengineering, University of California, San Diego, La Jolla, California, 92093, USA
| | - Robert Bridger
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, Georgia, 30602, USA
| | - Dan H. Barouch
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, 02215, USA
| | - Melinda A. Brindley
- Department of Infectious Diseases, Department of Population Health, Center for Vaccines and Immunology, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA
| | - Nathan E. Lewis
- Departments of Pediatrics and Bioengineering, University of California, San Diego, La Jolla, California, 92093, USA
- Novo Nordisk Foundation Center for Biosustainability at UC San Diego, La Jolla, California, 92093, USA
| | - Michael Tiemeyer
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, Georgia, 30602, USA
| | - Bing Chen
- Division of Molecular Medicine, Children’s Hospital and Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Robert J. Woods
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, Georgia, 30602, USA
| | - Lance Wells
- Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, and Department of Chemistry, University of Georgia, Athens, Georgia, 30602, USA
| |
Collapse
|
16
|
Clausen TM, Sandoval DR, Spliid CB, Pihl J, Painter CD, Thacker BE, Glass CA, Narayanan A, Majowicz SA, Zhang Y, Torres JL, Golden GJ, Porell R, Garretson AF, Laubach L, Feldman J, Yin X, Pu Y, Hauser B, Caradonna TM, Kellman BP, Martino C, Gordts PLSM, Leibel SL, Chanda SK, Schmidt AG, Godula K, Jose J, Corbett KD, Ward AB, Carlin AF, Esko JD. SARS-CoV-2 Infection Depends on Cellular Heparan Sulfate and ACE2. bioRxiv 2020. [PMID: 32699853 PMCID: PMC7373134 DOI: 10.1101/2020.07.14.201616] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
We show that SARS-CoV-2 spike protein interacts with cell surface heparan sulfate and angiotensin converting enzyme 2 (ACE2) through its Receptor Binding Domain. Docking studies suggest a putative heparin/heparan sulfate-binding site adjacent to the domain that binds to ACE2. In vitro, binding of ACE2 and heparin to spike protein ectodomains occurs independently and a ternary complex can be generated using heparin as a template. Contrary to studies with purified components, spike protein binding to heparan sulfate and ACE2 on cells occurs codependently. Unfractionated heparin, non-anticoagulant heparin, treatment with heparin lyases, and purified lung heparan sulfate potently block spike protein binding and infection by spike protein-pseudotyped virus and SARS-CoV-2 virus. These findings support a model for SARS-CoV-2 infection in which viral attachment and infection involves formation of a complex between heparan sulfate and ACE2. Manipulation of heparan sulfate or inhibition of viral adhesion by exogenous heparin may represent new therapeutic opportunities.
Collapse
|
17
|
Weiss RJ, Spahn PN, Toledo AG, Chiang AWT, Kellman BP, Li J, Benner C, Glass CK, Gordts PLSM, Lewis NE, Esko JD. ZNF263 is a transcriptional regulator of heparin and heparan sulfate biosynthesis. Proc Natl Acad Sci U S A 2020; 117:9311-9317. [PMID: 32277030 PMCID: PMC7196839 DOI: 10.1073/pnas.1920880117] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [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] [Indexed: 12/11/2022] Open
Abstract
Heparin is the most widely prescribed biopharmaceutical in production globally. Its potent anticoagulant activity and safety makes it the drug of choice for preventing deep vein thrombosis and pulmonary embolism. In 2008, adulterated material was introduced into the heparin supply chain, resulting in several hundred deaths and demonstrating the need for alternate sources of heparin. Heparin is a fractionated form of heparan sulfate derived from animal sources, predominantly from connective tissue mast cells in pig mucosa. While the enzymes involved in heparin biosynthesis are identical to those for heparan sulfate, the factors regulating these enzymes are not understood. Examination of the promoter regions of all genes involved in heparin/heparan sulfate assembly uncovered a transcription factor-binding motif for ZNF263, a C2H2 zinc finger protein. CRISPR-mediated targeting and siRNA knockdown of ZNF263 in mammalian cell lines and human primary cells led to dramatically increased expression levels of HS3ST1, a key enzyme involved in imparting anticoagulant activity to heparin, and HS3ST3A1, another glucosaminyl 3-O-sulfotransferase expressed in cells. Enhanced 3-O-sulfation increased binding to antithrombin, which enhanced Factor Xa inhibition, and binding of neuropilin-1. Analysis of transcriptomics data showed distinctively low expression of ZNF263 in mast cells compared with other (non-heparin-producing) immune cells. These findings demonstrate a novel regulatory factor in heparan sulfate modification that could further advance the possibility of bioengineering anticoagulant heparin in cultured cells.
Collapse
Affiliation(s)
- Ryan J Weiss
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093-0687
| | - Philipp N Spahn
- Department of Pediatrics, University of California San Diego, La Jolla, CA 92093-0760
| | - Alejandro Gómez Toledo
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093-0687
| | - Austin W T Chiang
- Department of Pediatrics, University of California San Diego, La Jolla, CA 92093-0760
| | - Benjamin P Kellman
- Department of Pediatrics, University of California San Diego, La Jolla, CA 92093-0760
| | - Jing Li
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093-0687
| | - Christopher Benner
- Department of Medicine, University of California San Diego, La Jolla, CA 92093-0687
| | - Christopher K Glass
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093-0687
- Department of Medicine, University of California San Diego, La Jolla, CA 92093-0687
| | - Philip L S M Gordts
- Department of Medicine, University of California San Diego, La Jolla, CA 92093-0687
- Glycobiology Research and Training Center, University of California San Diego, La Jolla, CA 92093-0687
| | - Nathan E Lewis
- Department of Pediatrics, University of California San Diego, La Jolla, CA 92093-0760
- Glycobiology Research and Training Center, University of California San Diego, La Jolla, CA 92093-0687
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093-0687
| | - Jeffrey D Esko
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093-0687;
- Glycobiology Research and Training Center, University of California San Diego, La Jolla, CA 92093-0687
| |
Collapse
|
18
|
Kellman BP, Lewis NE. Protein structure, a new constraint for glycosyltransferase specificity: Template‐like association between the glycoprotein surface on glycan structure. FASEB J 2020. [DOI: 10.1096/fasebj.2020.34.s1.07467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
19
|
Chiang WT, Gazestani VH, Bao B, Liang C, Sorrention JT, Kellman BP, Ménard P, Arnsdorf J, Sukhova Z, Bjørn SP, Brøndum KK, Hansen AH, Yang Z, Joshi H, Clausen H, Voldborg BG, Lewis NE. Systems Glycoengineering: Integrated Analyses of Glycomics, Transcriptomics and Phenotypic Data Reveal Complex Cellular Response to Glycoengineering in CHO Cells. FASEB J 2020. [DOI: 10.1096/fasebj.2020.34.s1.07419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
20
|
Esko JD, Weiss RJ, Spahn P, Toledo AG, Chiang AW, Kellman BP, Li J, Benner C, Glass CK, Gordts PL, Lewis NE. Genome wide analysis of heparan sulfate assembly. FASEB J 2020. [DOI: 10.1096/fasebj.2020.34.s1.00177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | | | | | | | | | | | - Jing Li
- University of California San Diego
| | | | | | | | | |
Collapse
|
21
|
Bao B, Kellman BP, Chiang AW, Bode L, Mohammad MA, Haymond MW, Lewis NE. Correcting for sparsity and non‐independence in glycomic data through a systems biology framework. FASEB J 2020. [DOI: 10.1096/fasebj.2020.34.s1.03742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
22
|
Liang C, Chiang AW, Hansen AH, Arnsdorf J, Schoffelen S, Sorrentino JT, Kellman BP, Bao B, Voldborg BG, Lewis NE. Elucidate Glycosyltransferase Specificities And Interactions for Rational Glycoengineering. FASEB J 2020. [DOI: 10.1096/fasebj.2020.34.s1.06683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
23
|
Gazestani VH, Pramparo T, Nalabolu S, Kellman BP, Murray S, Lopez L, Pierce K, Courchesne E, Lewis NE. A perturbed gene network containing PI3K-AKT, RAS-ERK and WNT-β-catenin pathways in leukocytes is linked to ASD genetics and symptom severity. Nat Neurosci 2019; 22:1624-1634. [PMID: 31551593 PMCID: PMC6764590 DOI: 10.1038/s41593-019-0489-x] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2018] [Accepted: 08/07/2019] [Indexed: 12/14/2022]
Abstract
Hundreds of genes are implicated in autism spectrum disorder (ASD) but the mechanisms through which they contribute to ASD pathophysiology remain elusive. Here, we analyzed leukocyte transcriptomics from 1–4 year-old male toddlers with ASD or typical development from the general population. We discovered a perturbed gene network that includes genes that are highly expressed during fetal brain development and which is dysregulated in hiPSC-derived neuron models of ASD. High-confidence ASD risk genes emerge as upstream regulators of the network, and many risk genes may impact the network by modulating RAS/ERK, PI3K/AKT, and WNT/β-catenin signaling pathways. We found that the degree of dysregulation in this network correlated with the severity of ASD symptoms in the toddlers. These results demonstrate how the heterogeneous genetics of ASD may dysregulate a core network to influence brain development at prenatal and very early postnatal ages and, thereby, the severity of later ASD symptoms.
Collapse
Affiliation(s)
- Vahid H Gazestani
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA.,Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Novo Nordisk Foundation Center for Biosustainability, University of California San Diego, La Jolla, CA, USA
| | - Tiziano Pramparo
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
| | - Srinivasa Nalabolu
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
| | - Benjamin P Kellman
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Sarah Murray
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Linda Lopez
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
| | - Karen Pierce
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
| | - Eric Courchesne
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA.
| | - Nathan E Lewis
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA. .,Novo Nordisk Foundation Center for Biosustainability, University of California San Diego, La Jolla, CA, USA. .,Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA. .,Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
| |
Collapse
|
24
|
Landig CS, Hazel A, Kellman BP, Fong JJ, Schwarz F, Agarwal S, Varki N, Massari P, Lewis NE, Ram S, Varki A. Evolution of the exclusively human pathogen Neisseria gonorrhoeae: Human-specific engagement of immunoregulatory Siglecs. Evol Appl 2019; 12:337-349. [PMID: 30697344 PMCID: PMC6346652 DOI: 10.1111/eva.12744] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2018] [Accepted: 11/14/2018] [Indexed: 12/18/2022] Open
Abstract
Neisseria gonorrhoeae causes the sexually transmitted disease gonorrhea exclusively in humans and uses multiple strategies to infect, including acquisition of host sialic acids that cap and mask lipooligosaccharide termini, while restricting complement activation. We hypothesized that gonococci selectively target human anti-inflammatory sialic acid-recognizing Siglec receptors on innate immune cells to blunt host responses and that pro-inflammatory Siglecs and SIGLEC pseudogene polymorphisms represent host evolutionary adaptations to counteract this interaction. N. gonorrhoeae can indeed engage multiple human but not chimpanzee CD33rSiglecs expressed on innate immune cells and in the genitourinary tract--including Siglec-11 (inhibitory) and Siglec-16 (activating), which we detected for the first time on human cervical epithelium. Surprisingly, in addition to LOS sialic acid, we found that gonococcal porin (PorB) mediated binding to multiple Siglecs. PorB also bound preferentially to human Siglecs and not chimpanzee orthologs, modulating host immune reactions in a human-specific manner. Lastly, we studied the distribution of null SIGLEC polymorphisms in a Namibian cohort with a high prevalence of gonorrhea and found that uninfected women preferentially harbor functional SIGLEC16 alleles encoding an activating immune receptor. These results contribute to the understanding of the human specificity of N. gonorrhoeae and how it evolved to evade the human immune defense.
Collapse
Affiliation(s)
- Corinna S. Landig
- Glycobiology Research and Training CenterUniversity of California, San DiegoLa JollaCalifornia
- Department of Cellular and Molecular MedicineUniversity of California, San DiegoLa JollaCalifornia
- Department of MedicineUniversity of California, San DiegoLa JollaCalifornia
| | - Ashley Hazel
- Department of Earth System ScienceStanford UniversityStanfordCalifornia
| | - Benjamin P. Kellman
- Department of PediatricsUniversity of California, San DiegoLa JollaCalifornia
- Bioinformatics and Systems Biology Graduate ProgramUniversity of California, San DiegoLa JollaCalifornia
| | - Jerry J. Fong
- Glycobiology Research and Training CenterUniversity of California, San DiegoLa JollaCalifornia
- Department of Cellular and Molecular MedicineUniversity of California, San DiegoLa JollaCalifornia
- Department of MedicineUniversity of California, San DiegoLa JollaCalifornia
| | - Flavio Schwarz
- Glycobiology Research and Training CenterUniversity of California, San DiegoLa JollaCalifornia
- Department of Cellular and Molecular MedicineUniversity of California, San DiegoLa JollaCalifornia
- Department of MedicineUniversity of California, San DiegoLa JollaCalifornia
| | - Sarika Agarwal
- Department of MedicineUniversity of Massachusetts Medical SchoolWorcesterMassachusetts
| | - Nissi Varki
- Glycobiology Research and Training CenterUniversity of California, San DiegoLa JollaCalifornia
- Department of PathologyUniversity of California, San DiegoLa JollaCalifornia
| | - Paola Massari
- Department of ImmunologyTufts University School of MedicineBostonMassachusetts
| | - Nathan E. Lewis
- Department of PediatricsUniversity of California, San DiegoLa JollaCalifornia
- Bioinformatics and Systems Biology Graduate ProgramUniversity of California, San DiegoLa JollaCalifornia
- Novo Nordisk Foundation Center for BiosustainabilityUniversity of California, San DiegoLa JollaCalifornia
| | - Sanjay Ram
- Department of MedicineUniversity of Massachusetts Medical SchoolWorcesterMassachusetts
| | - Ajit Varki
- Glycobiology Research and Training CenterUniversity of California, San DiegoLa JollaCalifornia
- Department of Cellular and Molecular MedicineUniversity of California, San DiegoLa JollaCalifornia
- Department of MedicineUniversity of California, San DiegoLa JollaCalifornia
| |
Collapse
|
25
|
Autran CA, Kellman BP, Kim JH, Asztalos E, Blood AB, Spence ECH, Patel AL, Hou J, Lewis NE, Bode L. Human milk oligosaccharide composition predicts risk of necrotising enterocolitis in preterm infants. Gut 2018; 67:1064-1070. [PMID: 28381523 DOI: 10.1136/gutjnl-2016-312819] [Citation(s) in RCA: 164] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2016] [Revised: 03/07/2017] [Accepted: 03/08/2017] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Necrotising enterocolitis (NEC) is one of the most common and often fatal intestinal disorders in preterm infants. Markers to identify at-risk infants as well as therapies to prevent and treat NEC are limited and urgently needed. NEC incidence is significantly lower in breast-fed compared with formula-fed infants. Infant formula lacks human milk oligosaccharides (HMO), such as disialyllacto-N-tetraose (DSLNT), which prevents NEC in neonatal rats. However, it is unknown if DSLNT also protects human preterm infants. DESIGN We conducted a multicentre clinical cohort study and recruited 200 mothers and their very low birthweight infants that were predominantly human milk-fed. We analysed HMO composition in breast milk fed to infants over the first 28 days post partum, matched each NEC case with five controls and used logistic regression and generalised estimating equation to test the hypothesis that infants who develop NEC receive milk with less DSLNT than infants who do not develop NEC. RESULTS Eight infants in the cohort developed NEC (Bell stage 2 or 3). DSLNT concentrations were significantly lower in almost all milk samples in NEC cases compared with controls, and its abundance could identify NEC cases prior to onset. Aggregate assessment of DSLNT over multiple days enhanced the separation of NEC cases and control subjects. CONCLUSIONS DSLNT content in breast milk is a potential non-invasive marker to identify infants at risk of developing NEC, and screen high-risk donor milk. In addition, DSLNT could serve as a natural template to develop novel therapeutics against this devastating disorder.
Collapse
Affiliation(s)
- Chloe A Autran
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
| | - Benjamin P Kellman
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA.,Bioinformatics and Systems Biology Program, University of California, La Jolla, California, USA
| | - Jae H Kim
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
| | - Elizabeth Asztalos
- Department of Newborn & Developmental Pediatrics, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Arlin B Blood
- Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, California, USA
| | | | - Aloka L Patel
- Rush University Medical Center, Chicago, Illinois, USA
| | - Jiayi Hou
- Clinical & Translational Research Institute, University of California San Diego, La Jolla, California, USA
| | - Nathan E Lewis
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA.,Bioinformatics and Systems Biology Program, University of California, La Jolla, California, USA.,Novo Nordisk Foundation Center for Biosustainability at the University of California San Diego School of Medicine, La Jolla, California, USA
| | - Lars Bode
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
| |
Collapse
|