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High-pH reversed-phase fractionated neural retina proteome of normal growing C57BL/6 mouse
The 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 i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7838270/ https://www.ncbi.nlm.nih.gov/pubmed/33500412 http://dx.doi.org/10.1038/s41597-021-00813-1 |
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author | Sze, Ying Hon Zhao, Qian Cheung, Jimmy Ka Wai Li, King Kit Tse, Dennis Yan Yin To, Chi Ho Lam, Thomas Chuen |
author_facet | Sze, Ying Hon Zhao, Qian Cheung, Jimmy Ka Wai Li, King Kit Tse, Dennis Yan Yin To, Chi Ho Lam, Thomas Chuen |
author_sort | Sze, Ying Hon |
collection | PubMed |
description | The 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. |
format | Online Article Text |
id | pubmed-7838270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78382702021-01-29 High-pH reversed-phase fractionated neural retina proteome of normal growing C57BL/6 mouse Sze, Ying Hon Zhao, Qian Cheung, Jimmy Ka Wai Li, King Kit Tse, Dennis Yan Yin To, Chi Ho Lam, Thomas Chuen Sci Data Data Descriptor The 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. Nature Publishing Group UK 2021-01-26 /pmc/articles/PMC7838270/ /pubmed/33500412 http://dx.doi.org/10.1038/s41597-021-00813-1 Text en © The Author(s) 2021 Open Access This 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 Creative 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 permitted 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Sze, Ying Hon Zhao, Qian Cheung, Jimmy Ka Wai Li, King Kit Tse, Dennis Yan Yin To, Chi Ho Lam, Thomas Chuen High-pH reversed-phase fractionated neural retina proteome of normal growing C57BL/6 mouse |
title | High-pH reversed-phase fractionated neural retina proteome of normal growing C57BL/6 mouse |
title_full | High-pH reversed-phase fractionated neural retina proteome of normal growing C57BL/6 mouse |
title_fullStr | High-pH reversed-phase fractionated neural retina proteome of normal growing C57BL/6 mouse |
title_full_unstemmed | High-pH reversed-phase fractionated neural retina proteome of normal growing C57BL/6 mouse |
title_short | High-pH reversed-phase fractionated neural retina proteome of normal growing C57BL/6 mouse |
title_sort | high-ph reversed-phase fractionated neural retina proteome of normal growing c57bl/6 mouse |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7838270/ https://www.ncbi.nlm.nih.gov/pubmed/33500412 http://dx.doi.org/10.1038/s41597-021-00813-1 |
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