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Proteomics analysis and proteogenomic characterization of different physiopathological human lenses
BACKGROUND: The aim of the present study was to identify the proteomic differences among human lenses in different physiopathological states and to screen for susceptibility genes/proteins via proteogenomic characterization. METHODS: The total proteomes identified across the regenerative lens with s...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5735820/ https://www.ncbi.nlm.nih.gov/pubmed/29258473 http://dx.doi.org/10.1186/s12886-017-0642-9 |
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author | Wu, Xiaohang Liu, Zhenzhen Zhang, Xiayin Wang, Dongni Long, Erping Wang, Jinghui Li, Wangting Lai, Weiyi Cao, Qianzhong Hu, Kunhua Chen, Weirong Lin, Haotian Liu, Yizhi |
author_facet | Wu, Xiaohang Liu, Zhenzhen Zhang, Xiayin Wang, Dongni Long, Erping Wang, Jinghui Li, Wangting Lai, Weiyi Cao, Qianzhong Hu, Kunhua Chen, Weirong Lin, Haotian Liu, Yizhi |
author_sort | Wu, Xiaohang |
collection | PubMed |
description | BACKGROUND: The aim of the present study was to identify the proteomic differences among human lenses in different physiopathological states and to screen for susceptibility genes/proteins via proteogenomic characterization. METHODS: The total proteomes identified across the regenerative lens with secondary cataract (RLSC), congenital cataract (CC) and age-related cataract (ARC) groups were compared to those of normal lenses using isobaric tagging for relative and absolute protein quantification (iTRAQ). The up-regulated proteins between the groups were subjected to biological analysis. Whole exome sequencing (WES) was performed to detect genetic variations. RESULTS: The most complete human lens proteome to date, which consisted of 1251 proteins, including 55.2% previously unreported proteins, was identified across the experimental groups. Bioinformatics functional annotation revealed the common involvement of cellular metabolic processes, immune responses and protein folding disturbances among the groups. RLSC-over-expressed proteins were characteristically enriched in the intracellular immunological signal transduction pathways. The CC groups featured biological processes relating to gene expression and vascular endothelial growth factor (VEGF) signaling transduction, whereas the molecular functions corresponding to external stress were specific to the ARC groups. Combined with WES, the proteogenomic characterization narrowed the list to 16 candidate causal molecules. CONCLUSIONS: These findings revealed common final pathways with diverse upstream regulation of cataractogenesis in different physiopathological states. This proteogenomic characterization shows translational potential for detecting susceptibility genes/proteins in precision medicine. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12886-017-0642-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5735820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57358202017-12-21 Proteomics analysis and proteogenomic characterization of different physiopathological human lenses Wu, Xiaohang Liu, Zhenzhen Zhang, Xiayin Wang, Dongni Long, Erping Wang, Jinghui Li, Wangting Lai, Weiyi Cao, Qianzhong Hu, Kunhua Chen, Weirong Lin, Haotian Liu, Yizhi BMC Ophthalmol Research Article BACKGROUND: The aim of the present study was to identify the proteomic differences among human lenses in different physiopathological states and to screen for susceptibility genes/proteins via proteogenomic characterization. METHODS: The total proteomes identified across the regenerative lens with secondary cataract (RLSC), congenital cataract (CC) and age-related cataract (ARC) groups were compared to those of normal lenses using isobaric tagging for relative and absolute protein quantification (iTRAQ). The up-regulated proteins between the groups were subjected to biological analysis. Whole exome sequencing (WES) was performed to detect genetic variations. RESULTS: The most complete human lens proteome to date, which consisted of 1251 proteins, including 55.2% previously unreported proteins, was identified across the experimental groups. Bioinformatics functional annotation revealed the common involvement of cellular metabolic processes, immune responses and protein folding disturbances among the groups. RLSC-over-expressed proteins were characteristically enriched in the intracellular immunological signal transduction pathways. The CC groups featured biological processes relating to gene expression and vascular endothelial growth factor (VEGF) signaling transduction, whereas the molecular functions corresponding to external stress were specific to the ARC groups. Combined with WES, the proteogenomic characterization narrowed the list to 16 candidate causal molecules. CONCLUSIONS: These findings revealed common final pathways with diverse upstream regulation of cataractogenesis in different physiopathological states. This proteogenomic characterization shows translational potential for detecting susceptibility genes/proteins in precision medicine. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12886-017-0642-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-19 /pmc/articles/PMC5735820/ /pubmed/29258473 http://dx.doi.org/10.1186/s12886-017-0642-9 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Wu, Xiaohang Liu, Zhenzhen Zhang, Xiayin Wang, Dongni Long, Erping Wang, Jinghui Li, Wangting Lai, Weiyi Cao, Qianzhong Hu, Kunhua Chen, Weirong Lin, Haotian Liu, Yizhi Proteomics analysis and proteogenomic characterization of different physiopathological human lenses |
title | Proteomics analysis and proteogenomic characterization of different physiopathological human lenses |
title_full | Proteomics analysis and proteogenomic characterization of different physiopathological human lenses |
title_fullStr | Proteomics analysis and proteogenomic characterization of different physiopathological human lenses |
title_full_unstemmed | Proteomics analysis and proteogenomic characterization of different physiopathological human lenses |
title_short | Proteomics analysis and proteogenomic characterization of different physiopathological human lenses |
title_sort | proteomics analysis and proteogenomic characterization of different physiopathological human lenses |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5735820/ https://www.ncbi.nlm.nih.gov/pubmed/29258473 http://dx.doi.org/10.1186/s12886-017-0642-9 |
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