The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A focused microarray approach to functional glycomics: transcriptional regulation of the glycome
Abstract
Glycosylation is the most common posttranslational modification of proteins, yet genes relevant to the synthesis of glycan structures and function are incompletely represented and poorly annotated on the commercially available arrays. To fill the need for expression analysis of such genes, we employed the Affymetrix technology to develop a focused and highly annotated glycogene-chip representing human and murine glycogenes, including glycosyltransferases, nucleotide sugar transporters, glycosidases, proteoglycans, and glycan-binding proteins. In this report, the array has been used to generate glycogene-expression profiles of nine murine tissues. Global analysis with a hierarchical clustering algorithm reveals that expression profiles in immune tissues (thymus [THY], spleen [SPL], lymph node, and bone marrow [BM]) are more closely related, relative to those of nonimmune tissues (kidney [KID], liver [LIV], brain [BRN], and testes [TES]). Of the biosynthetic enzymes, those responsible for synthesis of the core regions of N- and O-linked oligosaccharides are ubiquitously expressed, whereas glycosyltransferases that elaborate terminal structures are expressed in a highly tissue-specific manner, accounting for tissue and ultimately cell-type-specific glycosylation. Comparison of gene expression profiles with matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) profiling of N-linked oligosaccharides suggested that the alpha1-3 fucosyltransferase 9, Fut9, is the enzyme responsible for terminal fucosylation in KID and BRN, a finding validated by analysis of Fut9 knockout mice. Two families of glycan-binding proteins, C-type lectins and Siglecs, are predominately expressed in the immune tissues, consistent with their emerging functions in both innate and acquired immunity. The glycogene chip reported in this study is available to the scientific community through the Consortium for Functional Glycomics (CFG) (http://www.functionalglycomics.org).
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Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detection.
Li, C., & Wong, W. H. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.1.31 · Cited by 3,133
Roles of N-Linked Glycans in the Endoplasmic Reticulum
Helenius, A., & Aebi, M. (2004) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.73.011303.073752 · Cited by 2,037
Order Out of Chaos: Assembly of Ligand Binding Sites in Heparan Sulfate
Esko, J. D., & Selleck, S. B. (2002) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.71.110601.135458 · Cited by 1,495
Self-citationMechanisms That Regulate the Function of the Selectins and Their Ligands
VESTWEBER, D., & BLANKS, J. E. (1999) · Physiological Reviews · doi:10.1152/physrev.1999.79.1.181 · Cited by 932
Handbook of Glycosyltransferases and Related Genes
(2014) · doi:10.1007/978-4-431-54240-7 · Cited by 318
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The repertoire of glycan determinants in the human glycome
Cummings, R. D. (2009) · Molecular BioSystems · doi:10.1039/b907931a · Cited by 487
Systemic Blockade of Sialylation in Mice with a Global Inhibitor of Sialyltransferases
Macauley, M. S., Arlian, B. M., Rillahan, C. D., Pang, P.-C., Bortell, N., Marcondes, M. C. G., Haslam, S. M., Dell, A., & Paulson, J. C. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.m114.606517 · Cited by 129
Self-citationMass spectrometric analysis of N- and O-glycosylation of tissues and cells
HASLAM, S., NORTH, S., & DELL, A. (2006) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2006.08.006 · Cited by 111
Self-citationRecent insights into factors affecting remnant lipoprotein uptake
Williams, K. J., & Chen, K. (2010) · Current Opinion in Lipidology · doi:10.1097/mol.0b013e328338cabc · Cited by 91
Siglec receptors and hiding plaques in Alzheimer's disease
Salminen, A., & Kaarniranta, K. (2009) · Journal of Molecular Medicine · doi:10.1007/s00109-009-0472-1 · Cited by 73
Metadata
- Authors
- Comelli, E. M., Head, S. R., Gilmartin, T., Whisenant, T., Haslam, S. M., North, S. J., Wong, N.-K., Kudo, T., Narimatsu, H., Esko, J. D., Drickamer, K., Dell, A., & Paulson, J. C.
- Venue
- Glycobiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-10-19
- Volume
- 16
- Issue
- 2
- Pages
- 117-131
- ISSN
- 0959-6658 (ISSN-L)
- 1460-2423
- OpenAlex
- W2097906936
- Cited by
- 167
- References
- 5
- FWCI
- 5.76
- Type
- journal article
- Language
- en
- Open access
- closed
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- Comelli, E. M., Head, S. R., Gilmartin, T., Whisenant, T., Haslam, S. M., North, S. J., Wong, N.-K., Kudo, T., Narimatsu, H., Esko, J. D., Drickamer, K., Dell, A., & Paulson, J. C. (2006). A focused microarray approach to functional glycomics: transcriptional regulation of the glycome. Glycobiology. https://doi.org/10.1093/glycob/cwj048
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