ArticleBMC ophthalmology2017
Proteomics analysis and proteogenomic characterization of different physiopathological human lenses.
Article in BMC ophthalmology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Plasma Proteomics Identifies Proteins and Pathways Associated with Cataract: A Prospective Cohort Study.Ophthalmology science · 2026Article
- Potential immune involvement in cataract: from mechanisms to future scope of therapies.International journal of ophthalmology · 2025Review
- Applications of artificial intelligence and bioinformatics methodologies in the analysis of ocular biofluid markers: a scoping review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024Article
- Data-Independent Acquisition Mass Spectrometry of the Human Lens Enhances Spatiotemporal Measurement of Fiber Cell Aging.Journal of the American Society for Mass Spectrometry · 2021Article
- The impact of mass spectrometry application to screen new proteomics biomarkers in Ophthalmology.International ophthalmology · 2021Review
- Proteomic characterization of the human lens and Cataractogenesis.Expert review of proteomics · 2021Review
- Lens regeneration in humans: using regenerative potential for tissue repairing.Annals of translational medicine · 2020Review
Corrections and comments
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe 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.
methodsThe 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.
resultsThe 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.
conclusionsThese 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.
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Registered trials
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