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dc.contributor.authorDe, Sumanen
dc.contributor.authorKlenerman, Daviden
dc.date.accessioned2019-02-02T00:30:15Z
dc.date.available2019-02-02T00:30:15Z
dc.date.issued2019-10en
dc.identifier.issn1570-9639
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/288682
dc.description.abstractProtein aggregates play a key role in the initiation and spreading of neurodegenerative disease but have been difficult to study due to their low abundance and heterogeneity, in both size and structure. Fluorescence based methods capable of detecting and characterising single aggregates have recently been developed and can be used to measure many important aggregate properties, and can be combined with sensitive assays to measure aggregate toxicity. Here we review these methods and discuss recent examples of their application to determine the molecular mechanism of aggregation and the detection of aggregates in cells and cerebral spinal fluid. The further development of these methods and their application to the aggregates present in humans has the potential to solve a major problem in the field and allow the identification of the key toxic species that should be targeted in therapies.
dc.description.sponsorshipERc
dc.format.mediumPrint-Electronicen
dc.languageengen
dc.publisherElsevier
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAnimalsen
dc.subjectHumansen
dc.subjectNeurodegenerative Diseasesen
dc.subjectMolecular Imagingen
dc.subjectOptical Imagingen
dc.subjectProtein Aggregatesen
dc.titleImaging individual protein aggregates to follow aggregation and determine the role of aggregates in neurodegenerative disease.en
dc.typeArticle
prism.endingPage878
prism.issueIdentifier10en
prism.publicationDate2019en
prism.publicationNameBiochimica et biophysica acta. Proteins and proteomicsen
prism.startingPage870
prism.volume1867en
dc.identifier.doi10.17863/CAM.35945
dcterms.dateAccepted2018-12-29en
rioxxterms.versionofrecord10.1016/j.bbapap.2018.12.010en
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2019-10en
dc.contributor.orcidDe, Suman [0000-0003-1675-0773]
dc.contributor.orcidKlenerman, David [0000-0001-7116-6954]
dc.identifier.eissn1878-1454
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idECH2020 EUROPEAN RESEARCH COUNCIL (ERC) (669237)


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International