{"type":"journal_article","citation":{"ieee":"R. Richter, N. S. Baranova, A. Day, and J. Kwok, “Glycosaminoglycans in extracellular matrix organisation: Are concepts from soft matter physics key to understanding the formation of perineuronal nets?,” Current Opinion in Structural Biology, vol. 50. Elsevier, pp. 65–74, 2018.","chicago":"Richter, Ralf, Natalia S. Baranova, Anthony Day, and Jessica Kwok. “Glycosaminoglycans in Extracellular Matrix Organisation: Are Concepts from Soft Matter Physics Key to Understanding the Formation of Perineuronal Nets?” Current Opinion in Structural Biology. Elsevier, 2018. https://doi.org/10.1016/j.sbi.2017.12.002.","mla":"Richter, Ralf, et al. “Glycosaminoglycans in Extracellular Matrix Organisation: Are Concepts from Soft Matter Physics Key to Understanding the Formation of Perineuronal Nets?” Current Opinion in Structural Biology, vol. 50, Elsevier, 2018, pp. 65–74, doi:10.1016/j.sbi.2017.12.002.","ista":"Richter R, Baranova NS, Day A, Kwok J. 2018. Glycosaminoglycans in extracellular matrix organisation: Are concepts from soft matter physics key to understanding the formation of perineuronal nets? Current Opinion in Structural Biology. 50, 65–74.","ama":"Richter R, Baranova NS, Day A, Kwok J. Glycosaminoglycans in extracellular matrix organisation: Are concepts from soft matter physics key to understanding the formation of perineuronal nets? Current Opinion in Structural Biology. 2018;50:65-74. doi:10.1016/j.sbi.2017.12.002","apa":"Richter, R., Baranova, N. S., Day, A., & Kwok, J. (2018). Glycosaminoglycans in extracellular matrix organisation: Are concepts from soft matter physics key to understanding the formation of perineuronal nets? Current Opinion in Structural Biology. Elsevier. https://doi.org/10.1016/j.sbi.2017.12.002","short":"R. Richter, N.S. Baranova, A. Day, J. Kwok, Current Opinion in Structural Biology 50 (2018) 65–74."},"oa_version":"Submitted Version","month":"06","title":"Glycosaminoglycans in extracellular matrix organisation: Are concepts from soft matter physics key to understanding the formation of perineuronal nets?","_id":"555","doi":"10.1016/j.sbi.2017.12.002","publication_status":"published","publisher":"Elsevier","scopus_import":"1","oa":1,"department":[{"_id":"MaLo"}],"page":"65 - 74","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","publist_id":"7259","author":[{"first_name":"Ralf","full_name":"Richter, Ralf","last_name":"Richter"},{"full_name":"Baranova, Natalia","first_name":"Natalia","orcid":"0000-0002-3086-9124","id":"38661662-F248-11E8-B48F-1D18A9856A87","last_name":"Baranova"},{"last_name":"Day","first_name":"Anthony","full_name":"Day, Anthony"},{"first_name":"Jessica","full_name":"Kwok, Jessica","last_name":"Kwok"}],"language":[{"iso":"eng"}],"article_processing_charge":"No","date_published":"2018-06-01T00:00:00Z","year":"2018","date_created":"2018-12-11T11:47:09Z","publication":"Current Opinion in Structural Biology","article_type":"original","external_id":{"isi":["000443661300011"]},"volume":50,"isi":1,"main_file_link":[{"open_access":"1","url":"http://eprints.whiterose.ac.uk/125524/"}],"acknowledgement":"This work was supported by the European Research Council [Starting Grant 306435 ‘JELLY’; to RPR], the Spanish Ministry of Competitiveness and Innovation [MAT2014-54867-R, to RPR], the EPSRC Centre for Doctoral Training in Tissue Engineering and Regenerative Medicine — Innovation in Medical and Biological Engineering [EP/L014823/1, to JCFK], the Royal Society [RG160410, to JCFK], Wings for Life [WFL-UK-008/15, to JCFK] and the European Union, the Operational Programme Research, Development and Education in the framework of the project ‘Centre of Reconstructive Neuroscience’ [CZ.02.1.01/0.0./0.0/15_003/0000419, to JCFK]. AJD would like to thank Arthritis Research UK [16539, 19489] and the MRC [76445, G0900538] for funding his work on GAG–protein interactions.\r\n","quality_controlled":"1","day":"01","status":"public","abstract":[{"text":"Conventional wisdom has it that proteins fold and assemble into definite structures, and that this defines their function. Glycosaminoglycans (GAGs) are different. In most cases the structures they form have a low degree of order, even when interacting with proteins. Here, we discuss how physical features common to all GAGs — hydrophilicity, charge, linearity and semi-flexibility — underpin the overall properties of GAG-rich matrices. By integrating soft matter physics concepts (e.g. polymer brushes and phase separation) with our molecular understanding of GAG–protein interactions, we can better comprehend how GAG-rich matrices assemble, what their properties are, and how they function. Taking perineuronal nets (PNNs) — a GAG-rich matrix enveloping neurons — as a relevant example, we propose that microphase separation determines the holey PNN anatomy that is pivotal to PNN functions.","lang":"eng"}],"intvolume":" 50","date_updated":"2023-09-11T14:07:03Z"}