51
|
Stöckmann H, O'Flaherty R, Adamczyk B, Saldova R, Rudd PM. Automated, high-throughput serum glycoprofiling platform. Integr Biol (Camb) 2015; 7:1026-32. [PMID: 26189827 DOI: 10.1039/c5ib00130g] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Complex carbohydrates are rapidly becoming excellent biomarker candidates because of their high sensitivity to pathological changes. However, the discovery of clinical glycobiomarkers has been slow, due to the scarcity of high-throughput glycoanalytical workflows that allow rapid glycoprofiling of large clinical sample sets. To generate high-quality quantitative glycomics data in a high-throughput fashion, we have developed a robotized platform for rapid serum-based N-glycan sample preparation. The sample preparation workflow features a fully automated, rapid glycoprotein denaturation followed by sequential enzymatic glycan release, glycan purification on solid-supported hydrazide and fluorescent labelling. This allows accurate glycan quantitation by ultra-high performance liquid chromatography (UPLC). The sample preparation workflow was automated using an eight-channel Hamilton Robotics liquid handling workstation, allowing the preparation of almost 100 samples in 14 hours with excellent reproducibility and thus should greatly facilitate serum-based glyco-biomarker discovery.
Collapse
Affiliation(s)
- H Stöckmann
- NIBRT GlycoScience Group, NIBRT - The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co.Dublin, Ireland.
| | | | | | | | | |
Collapse
|
52
|
Sellebjerg F, Oturai AB. Multiple sclerosis: A clinically useful genetic variant in multiple sclerosis? Nat Rev Neurol 2015; 11:371-2. [PMID: 26077840 DOI: 10.1038/nrneurol.2015.103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Affiliation(s)
- Finn Sellebjerg
- Danish Multiple Sclerosis Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark
| | - Annette Bang Oturai
- Danish Multiple Sclerosis Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark
| |
Collapse
|
53
|
Esposito F, Sorosina M, Ottoboni L, Lim ET, Replogle JM, Raj T, Brambilla P, Liberatore G, Guaschino C, Romeo M, Pertel T, Stankiewicz JM, Martinelli V, Rodegher M, Weiner HL, Brassat D, Benoist C, Patsopoulos NA, Comi G, Elyaman W, Martinelli Boneschi F, De Jager PL. A pharmacogenetic study implicates SLC9a9 in multiple sclerosis disease activity. Ann Neurol 2015; 78:115-27. [PMID: 25914168 DOI: 10.1002/ana.24429] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2015] [Revised: 04/17/2015] [Accepted: 04/17/2015] [Indexed: 02/06/2023]
Abstract
OBJECTIVE A proportion of multiple sclerosis (MS) patients experience disease activity despite treatment. The early identification of the most effective drug is critical to impact long-term outcome and to move toward a personalized approach. The aim of the present study is to identify biomarkers for further clinical development and to yield insights into the pathophysiology of disease activity. METHODS We performed a genome-wide association study in interferon-β (IFNβ)-treated MS patients followed by validation in 3 independent cohorts. The role of the validated variant was examined in several RNA data sets, and the function of the presumed target gene was explored using an RNA interference approach in primary T cells in vitro. RESULTS We found an association between rs9828519(G) and nonresponse to IFNβ (pdiscovery = 4.43 × 10(-8)) and confirmed it in a meta-analysis across 3 replication data sets (preplication = 7.78 × 10(-4)). Only 1 gene is found in the linkage disequilibrium block containing rs9828519: SLC9A9. Exploring the function of this gene, we see that SLC9A9 mRNA expression is diminished in MS subjects who are more likely to have relapses. Moreover, SLC9A9 knockdown in T cells in vitro leads an increase in expression of IFNγ, which is a proinflammatory molecule. INTERPRETATION This study identifies and validates the role of rs9828519, an intronic variant in SLC9A9, in IFNβ-treated subjects, demonstrating a successful pharmacogenetic screen in MS. Functional characterization suggests that SLC9A9, an Na(+) -H(+) exchanger found in endosomes, appears to influence the differentiation of T cells to a proinflammatory fate and may have a broader role in MS disease activity, outside of IFNβ treatment.
Collapse
Affiliation(s)
- Federica Esposito
- Department of Neurology and Neurorehabilitation, San Raffaele Scientific Institute, Milan, Italy.,Laboratory of Genetics of Complex Neurological Disorders, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Melissa Sorosina
- Laboratory of Genetics of Complex Neurological Disorders, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Linda Ottoboni
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, MA
| | - Elaine T Lim
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA
| | - Joseph M Replogle
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, MA.,Program for Medical and Population Genetics, Broad Institute, Cambridge, MA.,Program in Translational Neuropsychiatric Genomics, Institute for the Neurosciences, Department of Neurology, Brigham and Women's Hospital, Boston, MA
| | - Towfique Raj
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, MA.,Program for Medical and Population Genetics, Broad Institute, Cambridge, MA.,Program in Translational Neuropsychiatric Genomics, Institute for the Neurosciences, Department of Neurology, Brigham and Women's Hospital, Boston, MA
| | - Paola Brambilla
- Laboratory of Genetics of Complex Neurological Disorders, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Giuseppe Liberatore
- Department of Neurology and Neurorehabilitation, San Raffaele Scientific Institute, Milan, Italy.,Laboratory of Genetics of Complex Neurological Disorders, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Clara Guaschino
- Department of Neurology and Neurorehabilitation, San Raffaele Scientific Institute, Milan, Italy.,Laboratory of Genetics of Complex Neurological Disorders, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Marzia Romeo
- Department of Neurology and Neurorehabilitation, San Raffaele Scientific Institute, Milan, Italy
| | - Thomas Pertel
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA
| | - James M Stankiewicz
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA
| | - Vittorio Martinelli
- Department of Neurology and Neurorehabilitation, San Raffaele Scientific Institute, Milan, Italy.,Laboratory of Genetics of Complex Neurological Disorders, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Mariaemma Rodegher
- Department of Neurology and Neurorehabilitation, San Raffaele Scientific Institute, Milan, Italy.,Laboratory of Genetics of Complex Neurological Disorders, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Howard L Weiner
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA
| | - David Brassat
- Department of Neurology, Purpan Hospital and Mixed Unit of Research 1043, University of Toulouse, Toulouse, France
| | - Christophe Benoist
- Harvard Medical School, Boston, MA.,Program for Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - Nikolaos A Patsopoulos
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA.,Program for Medical and Population Genetics, Broad Institute, Cambridge, MA.,Program in Translational Neuropsychiatric Genomics, Institute for the Neurosciences, Department of Neurology, Brigham and Women's Hospital, Boston, MA
| | - Giancarlo Comi
- Department of Neurology and Neurorehabilitation, San Raffaele Scientific Institute, Milan, Italy.,Laboratory of Genetics of Complex Neurological Disorders, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Wassim Elyaman
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA.,Program in Translational Neuropsychiatric Genomics, Institute for the Neurosciences, Department of Neurology, Brigham and Women's Hospital, Boston, MA
| | - Filippo Martinelli Boneschi
- Department of Neurology and Neurorehabilitation, San Raffaele Scientific Institute, Milan, Italy.,Laboratory of Genetics of Complex Neurological Disorders, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Philip L De Jager
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA.,Program for Medical and Population Genetics, Broad Institute, Cambridge, MA.,Program in Translational Neuropsychiatric Genomics, Institute for the Neurosciences, Department of Neurology, Brigham and Women's Hospital, Boston, MA
| |
Collapse
|
54
|
Ryoo H, Ryu J, Lee C. Transcriptional Downregulation by Nucleotide Substitution with the Minor Allele of rs3760776 Located in the Promoter of FUT6 Gene. Biochem Genet 2015; 53:72-8. [PMID: 25962326 DOI: 10.1007/s10528-015-9673-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2014] [Accepted: 04/15/2015] [Indexed: 11/25/2022]
Abstract
We examined the promoter activity of an association signal in an upstream region of the gene encoding fucosyltransferae 6 (FUT6) identified from a recent genomewide association study for the N-glycan level. The luciferase assay using reporter constructs with T and C alleles at rs3760776 revealed differential promoter activity. The amount of luciferin expressed with the C allele corresponded to that without the reporter construct (P > 0.05). On the other hand, the expression was dramatically reduced with the T allele (P < 0.05). The difference in transcriptional activity between the two alleles was confirmed by an electrophoretic mobility shift assay. It demonstrated that the promoter with a T allele had a stronger binding affinity to nuclear factors than that with the C allele. We concluded that the T allele of rs3760776 might repress the transcription of the FUT6 gene. Further studies are warranted to understand its underlying mechanism and its influence on susceptibility to potential diseases.
Collapse
Affiliation(s)
- Hyunju Ryoo
- School of Systems Biomedical Science, Soongsil University, 511 Sangdo-dong, Dongjak-gu, Seoul, Korea
| | | | | |
Collapse
|
55
|
Kondapalli KC, Prasad H, Rao R. An inside job: how endosomal Na(+)/H(+) exchangers link to autism and neurological disease. Front Cell Neurosci 2014; 8:172. [PMID: 25002837 PMCID: PMC4066934 DOI: 10.3389/fncel.2014.00172] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2014] [Accepted: 06/04/2014] [Indexed: 12/02/2022] Open
Abstract
Autism imposes a major impediment to childhood development and a huge emotional and financial burden on society. In recent years, there has been rapidly accumulating genetic evidence that links the eNHE, a subset of Na(+)/H(+) exchangers that localize to intracellular vesicles, to a variety of neurological conditions including autism, attention deficit hyperactivity disorder (ADHD), intellectual disability, and epilepsy. By providing a leak pathway for protons pumped by the V-ATPase, eNHE determine luminal pH and regulate cation (Na(+), K(+)) content in early and recycling endosomal compartments. Loss-of-function mutations in eNHE cause hyperacidification of endosomal lumen, as a result of imbalance in pump and leak pathways. Two isoforms, NHE6 and NHE9 are highly expressed in brain, including hippocampus and cortex. Here, we summarize evidence for the importance of luminal cation content and pH on processing, delivery and fate of cargo. Drawing upon insights from model organisms and mammalian cells we show how eNHE affect surface expression and function of membrane receptors and neurotransmitter transporters. These studies lead to cellular models of eNHE activity in pre- and post-synaptic neurons and astrocytes, where they could impact synapse development and plasticity. The study of eNHE has provided new insight on the mechanism of autism and other debilitating neurological disorders and opened up new possibilities for therapeutic intervention.
Collapse
Affiliation(s)
| | | | - Rajini Rao
- Department of Physiology, The Johns Hopkins University School of MedicineBaltimore, MD, USA
| |
Collapse
|
56
|
Huffman JE, Pučić-Baković M, Klarić L, Hennig R, Selman MHJ, Vučković F, Novokmet M, Krištić J, Borowiak M, Muth T, Polašek O, Razdorov G, Gornik O, Plomp R, Theodoratou E, Wright AF, Rudan I, Hayward C, Campbell H, Deelder AM, Reichl U, Aulchenko YS, Rapp E, Wuhrer M, Lauc G. Comparative performance of four methods for high-throughput glycosylation analysis of immunoglobulin G in genetic and epidemiological research. Mol Cell Proteomics 2014; 13:1598-610. [PMID: 24719452 PMCID: PMC4047478 DOI: 10.1074/mcp.m113.037465] [Citation(s) in RCA: 131] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2014] [Revised: 03/14/2014] [Indexed: 11/06/2022] Open
Abstract
The biological and clinical relevance of glycosylation is becoming increasingly recognized, leading to a growing interest in large-scale clinical and population-based studies. In the past few years, several methods for high-throughput analysis of glycans have been developed, but thorough validation and standardization of these methods is required before significant resources are invested in large-scale studies. In this study, we compared liquid chromatography, capillary gel electrophoresis, and two MS methods for quantitative profiling of N-glycosylation of IgG in the same data set of 1201 individuals. To evaluate the accuracy of the four methods we then performed analysis of association with genetic polymorphisms and age. Chromatographic methods with either fluorescent or MS-detection yielded slightly stronger associations than MS-only and multiplexed capillary gel electrophoresis, but at the expense of lower levels of throughput. Advantages and disadvantages of each method were identified, which should inform the selection of the most appropriate method in future studies.
Collapse
Affiliation(s)
- Jennifer E Huffman
- From the ‡MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | | | | | - René Hennig
- ¶Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany; ‖glyXera GmbH, Magdeburg, Germany
| | - Maurice H J Selman
- **Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | | | | | - Thilo Muth
- ¶Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany; ‖glyXera GmbH, Magdeburg, Germany
| | - Ozren Polašek
- ‡‡Faculty of Medicine, University of Split, Split, Croatia
| | - Genadij Razdorov
- §§University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Olga Gornik
- §§University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Rosina Plomp
- **Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Evropi Theodoratou
- ¶¶Centre for Population Health Sciences, School of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| | - Alan F Wright
- From the ‡MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Igor Rudan
- ¶¶Centre for Population Health Sciences, School of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| | - Caroline Hayward
- From the ‡MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Harry Campbell
- ¶¶Centre for Population Health Sciences, School of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| | - André M Deelder
- **Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Udo Reichl
- ¶Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany; ‖‖Otto-von-Guericke University, Chair of Bioprocess Engineering, Magdeburg, Germany
| | - Yurii S Aulchenko
- Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia; "Yurii Aulchenko" consulting, Groningen, The Netherlands
| | - Erdmann Rapp
- ¶Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany; ‖glyXera GmbH, Magdeburg, Germany
| | - Manfred Wuhrer
- **Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands; Division of BioAnalytical Chemistry, VU University Amsterdam, Amsterdam, The Netherlands
| | - Gordan Lauc
- §Genos Glycoscience Laboratory, Zagreb, Croatia; §§University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia;
| |
Collapse
|
57
|
Reiding KR, Blank D, Kuijper DM, Deelder AM, Wuhrer M. High-throughput profiling of protein N-glycosylation by MALDI-TOF-MS employing linkage-specific sialic acid esterification. Anal Chem 2014; 86:5784-93. [PMID: 24831253 DOI: 10.1021/ac500335t] [Citation(s) in RCA: 274] [Impact Index Per Article: 24.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Protein glycosylation is an important post-translational modification associated, among others, with diseases and the efficacy of biopharmaceuticals. Matrix-assisted laser desorption/ionization (MALDI) time-of-fight (TOF) mass spectrometry (MS) can be performed to study glycosylation in a high-throughput manner, but is hampered by the instability and ionization bias experienced by sialylated glycan species. Stabilization and neutralization of these sialic acids can be achieved by permethylation or by specific carboxyl group derivatization with the possibility of discrimination between α2,3- and α2,6-linked sialic acids. However, these methods typically require relatively pure glycan samples, show sensitivity to side reactions, and need harsh conditions or long reaction times. We established a rapid, robust and linkage-specific high-throughput method for sialic acid stabilization and MALDI-TOF-MS analysis, to allow direct modification of impure glycan-containing mixtures such as PNGase F-released human plasma N-glycome. Using a combination of carboxylic acid activators in ethanol achieved near-complete ethyl esterification of α2,6-linked sialic acids and lactonization of α2,3-linked variants, in short time using mild conditions. Glycans were recovered by hydrophilic interaction liquid chromatography solid phase extraction and analyzed by MALDI-TOF-MS in reflectron positive mode with 2,5-dihydroxybenzoic acid as the matrix substance. Analysis of the human plasma N-glycome allowed high-throughput detection and relative quantitation of more than 100 distinct N-glycan compositions with varying sialic acid linkages.
Collapse
Affiliation(s)
- Karli R Reiding
- Center for Proteomics and Metabolomics, Leiden University Medical Center , 2300 RC Leiden, The Netherlands
| | | | | | | | | |
Collapse
|
58
|
Nikolac Perkovic M, Pucic Bakovic M, Kristic J, Novokmet M, Huffman JE, Vitart V, Hayward C, Rudan I, Wilson JF, Campbell H, Polasek O, Lauc G, Pivac N. The association between galactosylation of immunoglobulin G and body mass index. Prog Neuropsychopharmacol Biol Psychiatry 2014; 48:20-5. [PMID: 24012618 DOI: 10.1016/j.pnpbp.2013.08.014] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2013] [Revised: 08/28/2013] [Accepted: 08/28/2013] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Obesity is becoming a fast-growing health problem worldwide. Glycosylation of proteins and their variations significantly affect protein structure and function, thus altering numerous physiological and pathophysiological cellular processes. Since plasma glycans were significantly associated with body mass index (BMI) in both Croatian and Chinese populations, the study evaluated the association between immunoglobulin G (IgG) glycome, which is closer to biological function, and BMI. METHOD The study included individuals from two Croatian Adriatic islands, Vis and Korčula, and individuals from Northern Scottish Orkney Islands. A hydrophilic interaction chromatography on Waters BEH Glycan chromatography column was used to analyze N-glycans attached to IgG in plasma samples from a total of 3515 individuals. RESULTS A small but significant positive correlation between BMI and the level of neutral glycans without galactoses was detected. After taking into account the influence of age and gender, correlation coefficients indicated that BMI was responsible for up to 2.0% of variation in the level of neutral glycans without galactoses. Furthermore, after adjusting the effects of age and gender, the level of neutral glycans with two terminal galactoses was negatively associated with BMI in analyzed sample groups, suggesting that BMI could be responsible for up to 3.2% of variation in this glycan feature. CONCLUSION Our study is the first large-scale study to indicate the association of BMI and changes in IgG galactosylation. The observed loss of galactose which is associated with increased BMI might be related to chronic inflammation that accompanies the development of obesity.
Collapse
|
59
|
Menni C, Keser T, Mangino M, Bell JT, Erte I, Akmačić I, Vučković F, Pučić Baković M, Gornik O, McCarthy MI, Zoldoš V, Spector TD, Lauc G, Valdes AM. Glycosylation of immunoglobulin g: role of genetic and epigenetic influences. PLoS One 2013; 8:e82558. [PMID: 24324808 PMCID: PMC3855797 DOI: 10.1371/journal.pone.0082558] [Citation(s) in RCA: 75] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2013] [Accepted: 10/23/2013] [Indexed: 01/01/2023] Open
Abstract
Objective To determine the extent to which genetic and epigenetic factors contribute to variations in glycosylation of immunoglobulin G (IgG) in humans. Methods 76 N-glycan traits in circulating IgG were analyzed by UPLC in 220 monozygotic and 310 dizygotic twin pairs from TwinsUK. A classical twin study design was used to derive the additive genetic, common and unique environmental components defining the variance in these traits. Epigenome-wide association analysis was performed using the Illumina 27k chip. Results 51 of the 76 glycan traits studied have an additive genetic component (heritability, h2)≥ 0.5. In contrast, 12 glycan traits had a low genetic contribution (h2<0.35). We then tested for association between methylation levels and glycan levels (P<2 x10-6). Among glycan traits with low heritability probe cg08392591 maps to a CpG island 5’ from the ANKRD11 gene, a p53 activator on chromosome 16. Probe cg26991199 maps to the SRSF10 gene involved in regulation of RNA splicing and particularly in regulation of splicing of mRNA precursors upon heat shock. Among those with high heritability we found cg13782134 (mapping to the NRN1L gene) and cg16029957 mapping near the QPCT gene to be array-wide significant. The proportion of array-wide epigenetic associations was significantly larger (P<0.005) among glycans with low heritability (42%) than in those with high heritability (6.2%). Conclusions Glycome analyses might provide a useful integration of genetic and non-genetic factors to further our understanding of the role of glycosylation in both normal physiology and disease.
Collapse
Affiliation(s)
- Cristina Menni
- Department of Twins Research and Genetic Epidemiology, Kings College London, London, United Kingdom
- * E-mail:
| | - Toma Keser
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Massimo Mangino
- Department of Twins Research and Genetic Epidemiology, Kings College London, London, United Kingdom
| | - Jordana T. Bell
- Department of Twins Research and Genetic Epidemiology, Kings College London, London, United Kingdom
| | - Idil Erte
- Department of Twins Research and Genetic Epidemiology, Kings College London, London, United Kingdom
| | | | | | | | - Olga Gornik
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Mark I. McCarthy
- Oxford Centre for Diabetes, Endocrinology & Metabolism, University of Oxford, Oxford, United Kingdom
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Vlatka Zoldoš
- Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Tim D. Spector
- Department of Twins Research and Genetic Epidemiology, Kings College London, London, United Kingdom
| | - Gordan Lauc
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
- Glycobiology Laboratory, Genos, Zagreb, Croatia
| | - Ana M. Valdes
- Department of Twins Research and Genetic Epidemiology, Kings College London, London, United Kingdom
- Academic Rheumatology, University of Nottingham, Nottingham, United Kingdom
| |
Collapse
|
60
|
Lauc G, Vojta A, Zoldoš V. Epigenetic regulation of glycosylation is the quantum mechanics of biology. Biochim Biophys Acta Gen Subj 2013; 1840:65-70. [PMID: 23999089 DOI: 10.1016/j.bbagen.2013.08.017] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2013] [Revised: 07/22/2013] [Accepted: 08/23/2013] [Indexed: 11/28/2022]
Abstract
BACKGROUND Most proteins are glycosylated, with glycans being integral structural and functional components of a glycoprotein. In contrast to polypeptides, which are fully encoded by the corresponding gene, glycans result from a dynamic interaction between the environment and a network of hundreds of genes. SCOPE OF REVIEW Recent developments in glycomics, genomics and epigenomics are discussed in the context of an evolutionary advantage for higher eukaryotes over microorganisms, conferred by the complexity and adaptability which glycosylation adds to their proteome. MAJOR CONCLUSIONS Inter-individual variation of glycome composition in human population is large; glycome composition is affected by both genes and environment; epigenetic regulation of "glyco-genes" has been demonstrated; and several mechanisms for transgenerational inheritance of epigenetic marks have been documented. GENERAL SIGNIFICANCE Epigenetic recording of acquired characteristics and their transgenerational inheritance could be important mechanisms used by higher organisms to compete or collaborate with microorganisms.
Collapse
Affiliation(s)
- Gordan Lauc
- Department of Biochemistry and Molecular Biology, Faculty of Pharmacy and Biochemistry, University of Zagreb, A. Kovačića 1, 10000 Zagreb, Croatia; Genos Glycobiology Laboratory, Hondlova 2/11, 10000 Zagreb, Croatia.
| | | | | |
Collapse
|
61
|
Stöckmann H, Adamczyk B, Hayes J, Rudd PM. Automated, High-Throughput IgG-Antibody Glycoprofiling Platform. Anal Chem 2013; 85:8841-9. [DOI: 10.1021/ac402068r] [Citation(s) in RCA: 92] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Henning Stöckmann
- NIBRT GlycoScience Group, NIBRT—The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland
| | - Barbara Adamczyk
- NIBRT GlycoScience Group, NIBRT—The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland
| | - Jerrard Hayes
- NIBRT GlycoScience Group, NIBRT—The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland
| | - Pauline M. Rudd
- NIBRT GlycoScience Group, NIBRT—The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland
| |
Collapse
|
62
|
Deelen J, Beekman M, Capri M, Franceschi C, Slagboom PE. Identifying the genomic determinants of aging and longevity in human population studies: progress and challenges. Bioessays 2013; 35:386-96. [PMID: 23423909 PMCID: PMC3633240 DOI: 10.1002/bies.201200148] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Human lifespan variation is mainly determined by environmental factors, whereas the genetic contribution is 25–30% and expected to be polygenic. Two complementary fields go hand in hand in order to unravel the mechanisms of biological aging: genomic and biomarker research. Explorative and candidate gene studies of the human genome by genetic, transcriptomic, and epigenomic approaches have resulted in the identification of a limited number of interesting positive linkage regions, genes, and pathways that contribute to lifespan variation. The possibilities to further exploit these findings are rapidly increasing through the use of novel technologies, such as next-generation sequencing. Genomic research is progressively being integrated with biomarker studies on aging, including the application of (noninvasive) deep phenotyping and omics data – generated using novel technologies – in a wealth of studies in human populations. Hence, these studies may assist in obtaining a more holistic perspective on the role of the genome in aging and lifespan regulation.
Collapse
Affiliation(s)
- Joris Deelen
- Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | | | | |
Collapse
|
63
|
Zoldoš V, Horvat T, Lauc G. Glycomics meets genomics, epigenomics and other high throughput omics for system biology studies. Curr Opin Chem Biol 2013; 17:34-40. [DOI: 10.1016/j.cbpa.2012.12.007] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2012] [Revised: 10/29/2012] [Accepted: 12/02/2012] [Indexed: 01/28/2023]
|
64
|
Loci associated with N-glycosylation of human immunoglobulin G show pleiotropy with autoimmune diseases and haematological cancers. PLoS Genet 2013; 9:e1003225. [PMID: 23382691 PMCID: PMC3561084 DOI: 10.1371/journal.pgen.1003225] [Citation(s) in RCA: 281] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2012] [Accepted: 11/21/2012] [Indexed: 12/22/2022] Open
Abstract
Glycosylation of immunoglobulin G (IgG) influences IgG effector function by modulating binding to Fc receptors. To identify genetic loci associated with IgG glycosylation, we quantitated N-linked IgG glycans using two approaches. After isolating IgG from human plasma, we performed 77 quantitative measurements of N-glycosylation using ultra-performance liquid chromatography (UPLC) in 2,247 individuals from four European discovery populations. In parallel, we measured IgG N-glycans using MALDI-TOF mass spectrometry (MS) in a replication cohort of 1,848 Europeans. Meta-analysis of genome-wide association study (GWAS) results identified 9 genome-wide significant loci (P<2.27×10−9) in the discovery analysis and two of the same loci (B4GALT1 and MGAT3) in the replication cohort. Four loci contained genes encoding glycosyltransferases (ST6GAL1, B4GALT1, FUT8, and MGAT3), while the remaining 5 contained genes that have not been previously implicated in protein glycosylation (IKZF1, IL6ST-ANKRD55, ABCF2-SMARCD3, SUV420H1, and SMARCB1-DERL3). However, most of them have been strongly associated with autoimmune and inflammatory conditions (e.g., systemic lupus erythematosus, rheumatoid arthritis, ulcerative colitis, Crohn's disease, diabetes type 1, multiple sclerosis, Graves' disease, celiac disease, nodular sclerosis) and/or haematological cancers (acute lymphoblastic leukaemia, Hodgkin lymphoma, and multiple myeloma). Follow-up functional experiments in haplodeficient Ikzf1 knock-out mice showed the same general pattern of changes in IgG glycosylation as identified in the meta-analysis. As IKZF1 was associated with multiple IgG N-glycan traits, we explored biomarker potential of affected N-glycans in 101 cases with SLE and 183 matched controls and demonstrated substantial discriminative power in a ROC-curve analysis (area under the curve = 0.842). Our study shows that it is possible to identify new loci that control glycosylation of a single plasma protein using GWAS. The results may also provide an explanation for the reported pleiotropy and antagonistic effects of loci involved in autoimmune diseases and haematological cancer. After analysing glycans attached to human immunoglobulin G in 4,095 individuals, we performed the first genome-wide association study (GWAS) of the glycome of an individual protein. Nine genetic loci were found to associate with glycans with genome-wide significance. Of these, four were enzymes that directly participate in IgG glycosylation, thus the observed associations were biologically founded. The remaining five genetic loci were not previously implicated in protein glycosylation, but the most of them have been reported to be relevant for autoimmune and inflammatory conditions and/or haematological cancers. A particularly interesting gene, IKZF1 was found to be associated with multiple IgG N-glycans. This gene has been implicated in numerous diseases, including systemic lupus erythematosus (SLE). We analysed N-glycans in 101 cases with SLE and 183 matched controls and demonstrated their substantial biomarker potential. Our study shows that it is possible to identify new loci that control glycosylation of a single plasma protein using GWAS. Our results may also provide an explanation for opposite effects of some genes in autoimmune diseases and haematological cancer.
Collapse
|
65
|
Zoldoš V, Horvat T, Novokmet M, Cuenin C, Mužinić A, Pučić M, Huffman JE, Gornik O, Polašek O, Campbell H, Hayward C, Wright AF, Rudan I, Owen K, McCarthy MI, Herceg Z, Lauc G. Epigenetic silencing of HNF1A associates with changes in the composition of the human plasma N-glycome. Epigenetics 2012; 7:164-72. [PMID: 22395466 DOI: 10.4161/epi.7.2.18918] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Protein glycosylation is a ubiquitous modification that affects the structure and function of proteins. Our recent genome wide association study identified transcription factor HNF1A as an important regulator of plasma protein glycosylation. To evaluate the potential impact of epigenetic regulation of HNF1A on protein glycosylation we analyzed CpG methylation in 810 individuals. The association between methylation of four CpG sites and the composition of plasma and IgG glycomes was analyzed. Several statistically significant associations were observed between HNF1A methylation and plasma glycans, while there were no significant associations with IgG glycans. The most consistent association with HNF1A methylation was observed with the increase in the proportion of highly branched glycans in the plasma N-glycome. The hypothesis that inactivation of HNF1A promotes branching of glycans was supported by the analysis of plasma N-glycomes in 61 patients with inactivating mutations in HNF1A, where the increase in plasma glycan branching was also observed. This study represents the first demonstration of epigenetic regulation of plasma glycome composition, suggesting a potential mechanism by which epigenetic deregulation of the glycome may contribute to disease development.
Collapse
Affiliation(s)
- Vlatka Zoldoš
- University of Zagreb Faculty of Science, University of Zagreb, Zagreb, Croatia
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
66
|
Tharmalingam T, Adamczyk B, Doherty MA, Royle L, Rudd PM. Strategies for the profiling, characterisation and detailed structural analysis of N-linked oligosaccharides. Glycoconj J 2012; 30:137-46. [PMID: 22922975 DOI: 10.1007/s10719-012-9443-9] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2012] [Revised: 08/09/2012] [Accepted: 08/13/2012] [Indexed: 12/25/2022]
Abstract
Many post-translational modifications, including glycosylation, are pivotal for the structural integrity, location and functional activity of glycoproteins. Sub-populations of proteins that are relocated or functionally changed by such modifications can change resting proteins into active ones, mediating specific effector functions, as in the case of monoclonal antibodies. To ensure safe and efficacious drugs it is essential to employ appropriate robust, quantitative analytical strategies that can (i) perform detailed glycan structural analysis, (ii) characterise specific subsets of glycans to assess known critical features of therapeutic activities (iii) rapidly profile glycan pools for at-line monitoring or high level batch to batch screening. Here we focus on these aspects of glycan analysis, showing how state-of-the-art technologies are required at all stages during the production of recombinant glycotherapeutics. These data can provide insights into processing pathways and suggest markers for intervention at critical control points in bioprocessing and also critical decision points in disease and drug monitoring in patients. Importantly, these tools are now enabling the first glycome/genome studies in large populations, allowing the integration of glycomics into other 'omics platforms in a systems biology context.
Collapse
Affiliation(s)
- Tharmala Tharmalingam
- NIBRT Glycobiology Laboratory, NIBRT - The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co Dublin, Ireland
| | | | | | | | | |
Collapse
|
67
|
Abstract
Protein glycosylation is a ubiquitous post-translational modification found in all domains of life. Despite their significant complexity in animal systems, glycan structures have crucial biological and physiological roles, from contributions in protein folding and quality control to involvement in a large number of biological recognition events. As a result, they impart an additional level of 'information content' to underlying polypeptide structures. Improvements in analytical methodologies for dissecting glycan structural diversity, along with recent developments in biochemical and genetic approaches for studying glycan biosynthesis and catabolism, have provided a greater understanding of the biological contributions of these complex structures in vertebrates.
Collapse
|
68
|
Zoldoš V, Novokmet M, Bečeheli I, Lauc G. Genomics and epigenomics of the human glycome. Glycoconj J 2012; 30:41-50. [PMID: 22648057 DOI: 10.1007/s10719-012-9397-y] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2012] [Revised: 05/11/2012] [Accepted: 05/14/2012] [Indexed: 12/17/2022]
Abstract
The majority of all proteins are glycosylated and glycans have numerous important structural, functional and regulatory roles in various physiological processes. While structure of the polypeptide part of a glycoprotein is defined by the sequence of nucleotides in the corresponding gene, structure of a glycan part results from dynamic interactions between hundreds of genes, their protein products and environmental factors. The composition of the glycome attached to an individual protein, or to a complex mixture of proteins, like human plasma, is stable within an individual, but very variable between individuals. This variability stems from numerous common genetic polymorphisms reflecting in changes in the complex biosynthetic pathway of glycans, but also from the interaction with the environment. Environment can affect glycan biosynthesis at the level of substrate availability, regulation of enzyme activity and/or hormonal signals, but also through gene-environment interactions. Epigenetics provides a molecular basis how the environment can modify phenotype of an individual. The epigenetic information (DNA methylation pattern and histone code) is especially vulnerable to environmental effects in the early intrauterine and neo-natal development and many common late-onset diseases take root already at that time. The evidences showing the link between epigenetics and glycosylation are accumulating. Recent progress in high-throughput glycomics, genomics and epigenomics enabled first epidemiological and genome-wide association studies of the glycome, which are presented in this mini-review.
Collapse
Affiliation(s)
- Vlatka Zoldoš
- University of Zagreb, Faculty of Science, Horvatovac 102a, Zagreb, Croatia.
| | | | | | | |
Collapse
|
69
|
Gornik O, Pavić T, Lauc G. Alternative glycosylation modulates function of IgG and other proteins - implications on evolution and disease. Biochim Biophys Acta Gen Subj 2011; 1820:1318-26. [PMID: 22183029 DOI: 10.1016/j.bbagen.2011.12.004] [Citation(s) in RCA: 102] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2011] [Revised: 12/02/2011] [Accepted: 12/05/2011] [Indexed: 01/17/2023]
Abstract
BACKGROUND Nearly all membrane and secreted proteins, as well as numerous intracellular proteins are glycosylated. However, contrary to proteins which are defined by their individual genetic templates, glycans are encoded in a complex dynamic network of hundreds of genes which participate in the complex biosynthetic pathway of protein glycosylation. SCOPE OF REVIEW This review summarizes present knowledge about the importance of alternative glycosylation of IgG and other proteins. MAJOR CONCLUSIONS Numerous proteins depend on correct glycosylation for proper function. Very good example for this is the alternative glycosylation of IgG whose effector functions can be completely changed by the addition or removal of a single monosaccharide residue from its glycans. GENERAL SIGNIFICANCE The change in the structure of a protein requires mutations in DNA and subsequent selection in the next generation, while even slight alterations in activity or intracellular localization of one or more biosynthetic enzymes are sufficient for the creation of novel glycan structures, which can then perform new functions. Glycome composition varies significantly between individuals, which makes them slightly or even significantly different in their ability to execute specific molecular pathways with numerous implications for development and progression of various diseases. This article is part of a Special Issue entitled Glycoproteomics.
Collapse
Affiliation(s)
- Olga Gornik
- University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | | | | |
Collapse
|