Evidence map›Paper›PMID 29258473›Full record

ArticleBMC ophthalmology2017

Proteomics analysis and proteogenomic characterization of different physiopathological human lenses.

Xiaohang Wu, Zhenzhen Liu, Xiayin Zhang, Dongni Wang, Erping Long, Jinghui Wang, Wangting Li, Weiyi Lai, Qianzhong Cao, Kunhua Hu and 3 more

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. 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 · 2024
    Article
  4. Article
  5. Review
  6. Review
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

Xiaohang WuState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, 54# Xianlie Road, Guangzhou, Guangdong, 510060, China.
Zhenzhen LiuState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, 54# Xianlie Road, Guangzhou, Guangdong, 510060, China.
Xiayin ZhangState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, 54# Xianlie Road, Guangzhou, Guangdong, 510060, China.
Dongni WangState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, 54# Xianlie Road, Guangzhou, Guangdong, 510060, China.
Erping LongState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, 54# Xianlie Road, Guangzhou, Guangdong, 510060, China.
Jinghui WangState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, 54# Xianlie Road, Guangzhou, Guangdong, 510060, China.
Wangting LiState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, 54# Xianlie Road, Guangzhou, Guangdong, 510060, China.
Weiyi LaiState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, 54# Xianlie Road, Guangzhou, Guangdong, 510060, China.
Qianzhong CaoState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, 54# Xianlie Road, Guangzhou, Guangdong, 510060, China.
Kunhua HuDepartment of Pharmacology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China.
Weirong ChenState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, 54# Xianlie Road, Guangzhou, Guangdong, 510060, China.
Haotian LinState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, 54# Xianlie Road, Guangzhou, Guangdong, 510060, China. haot.lin@hotmail.com.
Yizhi LiuState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, 54# Xianlie Road, Guangzhou, Guangdong, 510060, China. yizhi_liu@aliyun.com.
Sun Yat-sen University · CN

Funding

the Fundamental Research Funds of the State Key Laboratory of Ophthalmology 2017QN04the Guangdong Province Universities and Colleges Youth Pearl River Scholar Funded Scheme NAThe Guangdong Provincial Natural Science Foundation for Distinguished Young Scholars of China 2014A030306030The Key Research Plan for the National Natural Science Foundation of China in Cultivation Project 91546101The Ministry of Science and Technology of China Grants 2015CB964600The National Natural Science Foundation of China 81300750The Outstanding Young Teacher Cultivation Projects in Guangdong Province YQ2015006The Young Teacher Top-Support project of Sun Yat-sen University 2015ykzd11The Youth Science and Technology Innovation Talents Funds in a Special Support Plan for High Level Talents in Guangdong Province 2014TQ01R573
6 · The paper itself

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.

Indexed as

AdultCataractChild, PreschoolChromatography, LiquidEye ProteinsFemaleHumansLens, CrystallineMaleMiddle AgedProteogenomicsProteomeProteomicsTandem Mass SpectrometryYoung AdultEye ProteinsProteomeHuman lensProteogenomic analysisProteomicsRegenerative lenses with secondary cataract (RLSC)

Identifiers

PMID29258473
PMCPMC5735820
OpenAlexW2777436917

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.