Bisecting GlcNAc Protein N-Glycosylation Is Characteristic of Human Adipogenesis

Author(s):  
Katherine Wongtrakul-Kish ◽  
Benjamin R. Herbert ◽  
Nicolle H. Packer
Keyword(s):  
1998 ◽  
Vol 331 (3) ◽  
pp. 733-742 ◽  
Author(s):  
Masafumi YOSHIMURA ◽  
Yoshito IHARA ◽  
Tetsuo NISHIURA ◽  
Yu OKAJIMA ◽  
Megumu OGAWA ◽  
...  

Several sugar structures have been reported to be necessary for haemopoiesis. We analysed the haematological phenotypes of transgenic mice expressing β-1,4 N-acetylglucosaminyltransferase III (GnT-III), which forms bisecting N-acetylglucosamine on asparagine-linked oligosaccharides. In the transgenic mice, the GnT-III activity was elevated in bone marrow, spleen and peripheral blood and in isolated mononuclear cells from these tissues, whereas no activity was found in these tissues of wild-type mice. Stromal cells after long-term cultures of transgenic-derived bone marrow and spleen cells also showed elevated GnT-III activity, compared with an undetectable activity in wild-type stromal cells. As judged by HPLC analysis, lectin blotting and lectin cytotoxicity assay, bisecting GlcNAc residues were increased on both blood cells and stromal cells from bone marrow and spleen in transgenic mice. The transgenic mice displayed spleen atrophy, hypocellular bone marrow and pancytopenia. Bone marrow cells and spleen cells from transgenic mice produced fewer haemopoietic colonies. After lethal irradiation followed by bone marrow transplantation, transgenic recipient mice showed pancytopenia compared with wild-type recipient mice. Bone marrow cells from transgenic donors gave haematological reconstitution at the same level as wild-type donor cells. In addition, non-adherent cell production was decreased in long-term bone marrow cell cultures of transgenic mice. Collectively these results indicate that the stroma-supported haemopoiesis is compromised in transgenic mice expressing GnT-III, providing the first demonstration that the N-glycans have some significant roles in stroma-dependent haemopoiesis.


2009 ◽  
Vol 285 (5) ◽  
pp. 3330-3340 ◽  
Author(s):  
Yoshinobu Kariya ◽  
Chihiro Kawamura ◽  
Toshiki Tabei ◽  
Jianguo Gu

PLoS ONE ◽  
2010 ◽  
Vol 5 (9) ◽  
pp. e12566 ◽  
Author(s):  
L. Renee Ruhaak ◽  
Hae-Won Uh ◽  
Marian Beekman ◽  
Carolien A. M. Koeleman ◽  
Cornelis H. Hokke ◽  
...  

2000 ◽  
Vol 275 (31) ◽  
pp. 23456-23461 ◽  
Author(s):  
Kazuhiro Fukuta ◽  
Reiko Abe ◽  
Tomoko Yokomatsu ◽  
Fumio Omae ◽  
Mineko Asanagi ◽  
...  

2012 ◽  
Vol 29 (8-9) ◽  
pp. 609-618 ◽  
Author(s):  
Hazuki E. Miwa ◽  
Yinghui Song ◽  
Richard Alvarez ◽  
Richard D. Cummings ◽  
Pamela Stanley

2007 ◽  
Vol 119 (22) ◽  
pp. 4251-4253 ◽  
Author(s):  
Steffen Eller ◽  
Ralf Schuberth ◽  
Gislinde Gundel ◽  
Joachim Seifert ◽  
Carlo Unverzagt
Keyword(s):  

2018 ◽  
Vol 35 (4) ◽  
pp. 345-351 ◽  
Author(s):  
Yasuhiko Kizuka ◽  
Naoyuki Taniguchi
Keyword(s):  

2018 ◽  
Vol 130 (44) ◽  
pp. 14751-14757
Author(s):  
Thomas Luber ◽  
Mathäus Niemietz ◽  
Theodoros Karagiannis ◽  
Manuel Mönnich ◽  
Dimitri Ott ◽  
...  
Keyword(s):  

2019 ◽  
Author(s):  
Christopher Ashwood ◽  
Brian Pratt ◽  
Brendan MacLean ◽  
Rebekah L. Gundry ◽  
Nicolle H. Packer

<p></p><p>Porous graphitized carbon (PGC) based chromatography achieves high-resolution separation of glycan structures released from glycoproteins. This approach is especially valuable when resolving structurally similar isomers and for discovery of novel and/or sample-specific glycan structures. However, the implementation of PGC-based separations in glycomics studies has been limited because system-independent retention values have not been established to normalize technical variation. To address this limitation, this study combined the use of hydrolyzed dextran as an internal standard and Skyline software for post-acquisition normalization to reduce retention time and peak area technical variation in PGC-based glycan analyses. This approach allowed assignment of system-independent retention values that are applicable to typical PGC-based glycan separations and supported the construction of a library containing >300 PGC-separated glycan structures with normalized glucose unit (GU) retention values. To enable the automation of this normalization method, a spectral MS/MS library was developed of the dextran ladder, achieving confident discrimination against isomeric glycans. The utility of this approach is demonstrated in two ways. First, to inform the search space for bioinformatically predicted but unobserved glycan structures, predictive models for two structural modifications, core-fucosylation and bisecting GlcNAc, were developed based on the GU library. Second, the applicability of this method for the analysis of complex biological samples is evidenced by the ability to discriminate between cell culture and tissue sample types by the normalized intensity of <i>N-</i>glycan structures alone. Overall, the methods and data described here are expected to support the future development of more automated approaches to glycan identification and quantitation.</p><br><p></p>


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