Academic literature on the topic 'Glycoproteome'
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Journal articles on the topic "Glycoproteome"
Schulze, Stefan, Friedhelm Pfeiffer, Benjamin A. Garcia, and Mechthild Pohlschroder. "Comprehensive glycoproteomics shines new light on the complexity and extent of glycosylation in archaea." PLOS Biology 19, no. 6 (June 17, 2021): e3001277. http://dx.doi.org/10.1371/journal.pbio.3001277.
Full textYang, Lijun, Jie Liu, Hua Li, Yilian Liu, An He, Peiwu Huang, Weina Gao, Hua Cao, Ruilian Xu, and Ruijun Tian. "A fully integrated sample preparation strategy for highly sensitive intact glycoproteomics." Analyst 147, no. 5 (2022): 794–98. http://dx.doi.org/10.1039/d1an02166d.
Full textLu, Haojie, Ying Zhang, and Pengyuan Yang. "Advancements in mass spectrometry-based glycoproteomics and glycomics." National Science Review 3, no. 3 (April 21, 2016): 345–64. http://dx.doi.org/10.1093/nsr/nww019.
Full textMertz, Joseph L., Shisheng Sun, Bojiao Yin, Yingwei Hu, Rahul Bhattacharya, Michael J. Bettenbaugh, Kevin J. Yarema, and Hui Zhang. "Comparison of Three Glycoproteomic Methods for the Analysis of the Secretome of CHO Cells Treated with 1,3,4-O-Bu3ManNAc." Bioengineering 7, no. 4 (November 10, 2020): 144. http://dx.doi.org/10.3390/bioengineering7040144.
Full textVivekanandan-Giri, Anuradha, Jessica L. Slocum, Carolyn L. Buller, Venkatesha Basrur, Wenjun Ju, Rodica Pop-Busui, David M. Lubman, Matthias Kretzler, and Subramaniam Pennathur. "Urine Glycoprotein Profile Reveals Novel Markers for Chronic Kidney Disease." International Journal of Proteomics 2011 (October 10, 2011): 1–18. http://dx.doi.org/10.1155/2011/214715.
Full textSharma, Ashok, James Cox, Joshua Glass, Tae Jin Lee, Sai Karthik Kodeboyina, Wenbo Zhi, Lane Ulrich, Zachary Lukowski, and Shruti Sharma. "Serum Glycoproteomic Alterations in Patients with Diabetic Retinopathy." Proteomes 8, no. 3 (September 13, 2020): 25. http://dx.doi.org/10.3390/proteomes8030025.
Full textNilsson, Jonas, Adnan Halim, Ammi Grahn, and Göran Larson. "Targeting the glycoproteome." Glycoconjugate Journal 30, no. 2 (August 11, 2012): 119–36. http://dx.doi.org/10.1007/s10719-012-9438-6.
Full textPhung, Toan K., Cassandra L. Pegg, and Benjamin L. Schulz. "GlypNirO: An automated workflow for quantitative N- and O-linked glycoproteomic data analysis." Beilstein Journal of Organic Chemistry 16 (September 1, 2020): 2127–35. http://dx.doi.org/10.3762/bjoc.16.180.
Full textChernykh, Anastasia, Rebeca Kawahara, and Morten Thaysen-Andersen. "Towards structure-focused glycoproteomics." Biochemical Society Transactions 49, no. 1 (January 13, 2021): 161–86. http://dx.doi.org/10.1042/bst20200222.
Full textLiu, Jing, Fangjun Wang, Hui Lin, Jun Zhu, Yangyang Bian, Kai Cheng, and Hanfa Zou. "Monolithic Capillary Column Based Glycoproteomic Reactor for High-Sensitive Analysis of N-Glycoproteome." Analytical Chemistry 85, no. 5 (February 20, 2013): 2847–52. http://dx.doi.org/10.1021/ac400315n.
Full textDissertations / Theses on the topic "Glycoproteome"
Zielinska, Dorota. "Unveiling the eukaryotic N-glycoproteome." Diss., Ludwig-Maximilians-Universität München, 2011. http://nbn-resolving.de/urn:nbn:de:bvb:19-166063.
Full textZielinska, Dorota [Verfasser], and Matthias [Akademischer Betreuer] Mann. "Unveiling the eukaryotic N-glycoproteome / Dorota Zielinska. Betreuer: Matthias Mann." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2011. http://d-nb.info/1047543605/34.
Full textHuang, Peiwu. "Method development and application for spatial proteome and glycoproteome profiling." HKBU Institutional Repository, 2020. https://repository.hkbu.edu.hk/etd_oa/788.
Full textMurrey, Heather Elizabeth Dougherty Dennis A. Hsieh-Wilson Linda C. "Identification and characterization of the plasticity-relevant fucose-alpha(1-2)galactose glycoproteome from mouse brain /." Diss., Pasadena, Calif. : Caltech, 2009. http://resolver.caltech.edu/CaltechETD:etd-12182008-145714.
Full textKalxdorf, Mathias [Verfasser]. "Mass spectrometric methods for measuring dynamic processes, drug-induced effects and target engagement on the cell surface glycoproteome / Mathias Kalxdorf." Halle, 2018. http://d-nb.info/1166140695/34.
Full textJi, Yanlong [Verfasser], Volker [Gutachter] Dötsch, and Thomas [Gutachter] Oellerich. "Quantitative N-glycoproteome, phosphoproteome and ubiquitinome analyses for studying B-cell receptor signaling in B-cell lymphoma / Yanlong Ji ; Gutachter: Volker Dötsch, Thomas Oellerich." Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2021. http://d-nb.info/1234680874/34.
Full textWeaver, Danielle. "N-linked glycosylation in Campylobacter jejuni and Campylobacter fetus and N-linked glycans as targets for antibody-based detection." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/nlinked-glycosylation-in-campylobacter-jejuni-and-campylobacter-fetus-and-nlinked-glycans-as-targets-for-antibodybased-detection(2b739b0d-84a3-47cc-af7a-d915b4caf37c).html.
Full textWu, Gang. "Glycomic and glycoproteomic studies of immune disorders." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/42776.
Full textCotton, Sofia Ribeiro. "Glycoproteomic characterization of advanced bladder cancer towards novel therapies." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/17366.
Full textA heterogenidade da natureza molecular dos tumores de bexiga tem dificultado o estabelecimento de abordagens no campo da medicina de precisão, revelando-se a necessidade de terapias mais eficientes e novas ferramentas de detecção não-invasivas. Contudo, têm-se denotado um desenvolvimento no estudo da carcinogénese de bexiga e na progressão do tumor, acompanhado de profundas alterações na glicosilação de proteínas que, dada a sua superfície celular e a natureza secretada, apresenta um potencial elevado na melhoria da gestão da doença. Segundo esta abordagem foi efectuado um estudo sobre tumores de bexiga de diferentes naturezas clinicopatológicas para O-glicanos de cadeia curta, regularmente encontrados na maioria dos tumores sólidos, recorrendo-se à imunohistoquímica. O estudo incluiu os antígenos Tn e T e os seus homólogos sialilados sialil-Tn (STn) e sialil-T (ST), geralmente associados com um mau prognóstico. Explorou-se ainda a sialilação da natureza dos antigénios T, especificamente as sialoformas sialil-3-T (S3T) e sialil-6-T (S6T), com base em combinações de tratamentos enzimáticos. Observou-se uma predominância de sialoglicanos, em comparação com as glicoformas neutras (antígenos Tn e T) em tumores de bexiga. Em particular, o antigénio STn foi associado ao estado avançado da doença e invasão muscular. Os antígenos S3T e S6T foram detectados pela primeira vez em tumores de bexiga, estando ausentes no urotélio normal, permitindo destacar a natureza específica em tumores. Verificou-se também a sobreexpressão dos glicanos em lesões avançadas, especialmente nos casos com invasão muscular.As análises glicoproteómicas dos tumores avançados de bexiga permitiram identificar diversas glicoproteínas-chave associadas ao cancro (MUC16, CD44, integrinas), denotando uma glicosilação alterada.As glicoformas da MUC16 STN positivas, características do cancro de ovário, encontram-se num subconjunto de tumores de bexiga em estado avançado, com um pior prognóstico. Em suma, os tumores de bexiga apresentam severas alterações no O-glicoma e no Oglicoproteoma devendo ser abordados de forma abrangente com o objectivo de desenvolver ferramentas de diagnóstico não invasivas e terapias dirigidas. As glicoformas aberrantes de MUC16 apresentam potencial como biomarcadores de mau prognóstico. Este trabalho estabeleceu um guia para a descoberta de glicobiomarcadores no cancro de bexiga, que pode ser utilizado para a estratificação dos pacientes e, por fim, levar à descoberta de novos alvos terapêuticos.
The heterogeneous molecular nature of bladder tumours has hampered the establishment of precision medicine approaches, more efficient therapeutics and novel non-invasive detection tools. Still, it has been long described that bladder carcinogenesis and tumour progression is accompanied by profound alterations in protein glycosylation which, given its cell surface and secreted nature, holds tremendous potential for disease management improvement. Therefore, we have screened series of bladder tumours of different clinicopathological natures for short-chain O-glycans, found in most solid tumours, by immunohistochemistry. These included the Tn and T antigens and their sialylated counterparts sialyl-Tn (STn) and sialyl-T(ST), generally associated with poor prognosis. We have also explored the nature of T antigens sialylation, namely the sialyl-3-T(S3T) and sialyl-6-T(S6T) sialoforms, based on combinations of enzymatic treatments. We observed a predominance of sialoglycans over neutral glycoforms (Tn and T antigens) in bladder tumours. In particular, the STn antigen was associated with high-grade disease and muscle invasion, in accordance with our previous observations.The S3T and S6T antigens were detected for the first time in bladder tumours, but not in healthy urothelia, highlighting their cancer-specific nature. These glycans were also overexpressed in advanced lesions, especially in cases showing muscle invasion. Glycoproteomic analyses of advanced bladder tumours identified several key cancer-associated glycoproteins (MUC16, CD44, integrins) carrying altered glycosylation. Particular interest was devoted to MUC16 STn+-glycoforms, characteristic of ovarian cancers, which were found in a subset of advanced stage bladder tumours facing worst prognosis. In summary, bladder tumours present severe O-glycome and O-glycoproteome alterations that should be comprehensively addressed envisaging novel non-invasive diagnostic tools and targeted therapeutics. Furthermore, abnormal MUC16 glycoforms holds potential as surrogate biomarkers of poor prognosis. Finally, this work established a roadmap for glycobiomarker discovery in bladder cancer, which may be used for patient stratification and ultimately lead to novel therapeutic targets.
Estrella, Ruby Poblete Graduate School of Biomedical Engineering Faculty of Engineering UNSW. "A glycoproteomic approach to the structural characterization of acidic glycoproteins." Publisher:University of New South Wales. Graduate School of Biomedical Engineering, 2009. http://handle.unsw.edu.au/1959.4/43562.
Full textBook chapters on the topic "Glycoproteome"
Hanisch, Franz-Georg, and Stefan Müller. "Approaches to the O-Glycoproteome." In The Proteomics Protocols Handbook, 439–57. Totowa, NJ: Humana Press, 2005. http://dx.doi.org/10.1385/1-59259-890-0:439.
Full textPan, Sheng. "Quantitative Glycoproteomics for N-Glycoproteome Profiling." In Shotgun Proteomics, 379–88. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0685-7_25.
Full textCampbell, Matthew P., Robyn A. Peterson, Elisabeth Gasteiger, Julien Mariethoz, Frederique Lisacek, and Nicolle H. Packer. "Navigating the Glycome Space and Connecting the Glycoproteome." In Protein Bioinformatics, 139–58. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6783-4_7.
Full textCao, Qichen, Qing Zhao, Xiaohong Qian, and Wantao Ying. "Identification of Core-Fucosylated Glycoproteome in Human Plasma." In Methods in Molecular Biology, 127–37. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7057-5_10.
Full textSantorelli, Lucia, Elisa Barigazzi, M. Pitto, and F. Raimondo. "Investigation of the N-Glycoproteome in the Urinary Exosomes: Technical Challenges." In Toxic Chemical and Biological Agents, 257–58. Dordrecht: Springer Netherlands, 2020. http://dx.doi.org/10.1007/978-94-024-2041-8_26.
Full textKalxdorf, Mathias, Hans Christian Eberl, and Marcus Bantscheff. "Monitoring Dynamic Changes of the Cell Surface Glycoproteome by Quantitative Proteomics." In Methods in Molecular Biology, 47–59. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7201-2_3.
Full textAdav, Sunil S., and Siu Kwan Sze. "Simultaneous Enrichment of Plasma Extracellular Vesicles and Glycoproteome for Studying Disease Biomarkers." In Methods in Molecular Biology, 193–201. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7057-5_15.
Full textKrois, Daniel. "Glycokonjugate, Glycoproteine." In Organisch-chemische Methoden, 75–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-53013-9_5.
Full textXiao, Haopeng, George X. Tang, Weixuan Chen, and Ronghu Wu. "A Boronic Acid-Based Enrichment for Site-Specific Identification of the N-glycoproteome Using MS-Based Proteomics." In Analysis of Post-Translational Modifications and Proteolysis in Neuroscience, 31–41. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/7657_2015_94.
Full textHao, Piliang, Huoming Zhang, and Siu Kwan Sze. "Application of Electrostatic Repulsion Hydrophilic Interaction Chromatography to the Characterization of Proteome, Glycoproteome, and Phosphoproteome Using Nano LC–MS/MS." In Methods in Molecular Biology, 305–18. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-319-6_23.
Full textConference papers on the topic "Glycoproteome"
Flores, Ricardo J., Yiting Li, Serrine S. Lau, Eastwood Leung, Ching C. Lau, and Tsz-Kwong Man. "Abstract 5570: An affinity lectin chromatography approach to characterize N-linked glycoproteome in metastatic osteosarcoma." In Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1538-7445.am10-5570.
Full textArampatzidou, Maria, Majlinda Kullolli, and Sharon J. Pitteri. "Abstract 2489: Glycoproteomic analysis of breast cancer cell lines for biomarker discovery." In Proceedings: AACR Annual Meeting 2014; April 5-9, 2014; San Diego, CA. American Association for Cancer Research, 2014. http://dx.doi.org/10.1158/1538-7445.am2014-2489.
Full textMiyoshi, Eiji, Kanako Azuma, Shinji Takamatsu, Naoko Terao, Satoshi Serada, Tetsuji Naka, and Yoshihiro Kamada. "Abstract 1407: Identification of sialylated glycoproteins in doxorubicin-treated hepatoma cells with glycoproteomic analyses." In Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.am2015-1407.
Full textBlock, Timothy M. "Abstract CN01-02: Glycoproteomic discovery of liver cancer biomarkers: Be careful how you use it!" In Abstracts: AACR International Conference on Frontiers in Cancer Prevention Research‐‐ Oct 22-25, 2011; Boston, MA. American Association for Cancer Research, 2011. http://dx.doi.org/10.1158/1940-6207.prev-11-cn01-02.
Full textMiyamoto, Suzanne, Ken Yoneda, Renee Ruhaak, Carol Stroble, Carlito B. Lebrilla, and David Gandara. "Abstract 4804: Glycoproteomic analysis of lung cancer malignant pleural effusions identify glycosylated proteins being produced by metastatic tumor cells." In Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL. American Association for Cancer Research, 2012. http://dx.doi.org/10.1158/1538-7445.am2012-4804.
Full textLindpaintner, Klaus, Apoorva Srinivasan, Alan Mitchell, Apurva Dixit, Gege Xu, Xin Cong, and Daniel Serie. "158 A novel, highly accurate liquid biopsy-based glycoproteomic predictor of checkpoint inhibitor treatment benefit in advanced non-small cell lung cancer." In SITC 37th Annual Meeting (SITC 2022) Abstracts. BMJ Publishing Group Ltd, 2022. http://dx.doi.org/10.1136/jitc-2022-sitc2022.0158.
Full textUeda, Koji, Hidewaki Nakagawa, Naomi Saichi, Masaru Katsumata, Taka-Aki Sato, and Yusuke Nakamura. "Abstract 5568: Development of serum glycoproteomic profiling technology for the identification of pancreatic cancer biomarkers: simultaneous identification of glycosylation sites and site-specific quantification of glycan structure changes." In Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1538-7445.am10-5568.
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