Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89205
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dc.contributorSchool of Optometryen_US
dc.contributorDepartment of Applied Biology and Chemical Technologyen_US
dc.creatorSze, YHen_US
dc.creatorZhao, Qen_US
dc.creatorCheung, JKWen_US
dc.creatorLi, KKen_US
dc.creatorTse, DYYen_US
dc.creatorTo, CHen_US
dc.creatorLam, TCen_US
dc.date.accessioned2021-02-18T09:14:40Z-
dc.date.available2021-02-18T09:14:40Z-
dc.identifier.urihttp://hdl.handle.net/10397/89205-
dc.language.isoenen_US
dc.publisherNature Publishing Groupen_US
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Cre-ative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not per-mitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rightsThe Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.en_US
dc.rights© The Author(s) 2021en_US
dc.rightsThe following publication Sze, Y.H., Zhao, Q., Cheung, J.K.W. et al. High-pH reversed-phase fractionated neural retina proteome of normal growing C57BL/6 mouse. Sci Data 8, 27 (2021) is available at https://doi.org/10.1038/s41597-021-00813-1.en_US
dc.titleHigh-pH reversed-phase fractionated neural retina proteome of normal growing C57BL/6 mouseen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume8en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1038/s41597-021-00813-1en_US
dcterms.abstractThe retina is a key sensory tissue composed of multiple layers of cell populations that work coherently to process and decode visual information. Mass spectrometry-based proteomics approach has allowed high-throughput, untargeted protein identification, demonstrating the presence of these proteins in the retina and their involvement in biological signalling cascades. The comprehensive wild-type mouse retina proteome was prepared using a novel sample preparation approach, the suspension trapping (S-Trap) filter, and further fractionated with high-pH reversed phase chromatography involving a total of 28 injections. This data-dependent acquisition (DDA) approach using a Sciex TripleTOF 6600 mass spectrometer identified a total of 7,122 unique proteins (1% FDR), and generated a spectral library of 5,950 proteins in the normal C57BL/6 mouse retina. Data-independent acquisition (DIA) approach relies on a large and high-quality spectral library to analyse chromatograms, this spectral library would enable access to SWATH-MS acquisition to provide unbiased, multiplexed, and quantification of proteins in the mouse retina, acting as the most extensive reference library to investigate retinal diseases using the C57BL/6 mouse model.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationScientific data, 2021, v. 8, no. 1, 27en_US
dcterms.isPartOfScientific dataen_US
dcterms.issued2021-
dc.identifier.scopus2-s2.0-85099846917-
dc.identifier.eissn2052-4463en_US
dc.identifier.artn27en_US
dc.description.validate202102 bcwhen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera0580-n01-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextRGC: 15104819, 15102015||This work was jointly supported by a PhD student scholarship (RPEX), RGC General Research Fund [15104819, PolyU151020/15 M] and Henry G. Leong Endowed Professorship in Elderly Vision Health (8-8475)en_US
dc.description.pubStatusPublisheden_US
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