Evidence map›Paper›PMID 33771123›Full record

ArticleBMC ophthalmology2021

RNA sequencing and bioinformatics analysis of human lens epithelial cells in age-related cataract.

Zhongying Wang, Dongmei Su, Shanhe Liu, Guiqian Zheng, Gaobo Zhang, Tingsong Cui, Xu Ma, Zhaoyi Sun, Shanshan Hu

Open access · goldAbstract read
In one paragraph

Article in BMC ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Role of Serine Protease Inhibitors A1 and A3 in Ocular Pathologies.Investigative ophthalmology & visual science · 2024
    Review
  5. Article
  6. Article
  7. Review
  8. Single-cell sequencing: promises and challenges for human genetics.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2022
    Article
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

9 authors at 1 institution in 1 country.

Zhongying Wang *Department of Ophthalmology, Hongqi Hospital of Mudanjiang Medical College, Mudanjiang, 157011, Heilongjiang, China.
Dongmei Su *Department of Genetics, Center for Genetics, National Research Institute for Family Planning, Beijing, 100081, China.
Shanhe LiuDepartment of Ophthalmology, Hongqi Hospital of Mudanjiang Medical College, Mudanjiang, 157011, Heilongjiang, China.
Guiqian ZhengDepartment of Ophthalmology, Hongqi Hospital of Mudanjiang Medical College, Mudanjiang, 157011, Heilongjiang, China.
Gaobo ZhangDepartment of Ophthalmology, Hongqi Hospital of Mudanjiang Medical College, Mudanjiang, 157011, Heilongjiang, China.
Tingsong CuiDepartment of Ophthalmology, Hongqi Hospital of Mudanjiang Medical College, Mudanjiang, 157011, Heilongjiang, China.
Xu MaDepartment of Genetics, Center for Genetics, National Research Institute for Family Planning, Beijing, 100081, China. jswkysgc@126.com.
Zhaoyi SunDepartment of Ophthalmology, Hongqi Hospital of Mudanjiang Medical College, Mudanjiang, 157011, Heilongjiang, China. zhaoyisun77@sina.com.
Shanshan HuDepartment of Ophthalmology, Hongqi Hospital of Mudanjiang Medical College, Mudanjiang, 157011, Heilongjiang, China. hushanshan19830219@126.com.
Mudanjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAge-related cataract (ARC) is the main cause of blindness in older individuals but its specific pathogenic mechanism is unclear. This study aimed to identify differentially expressed genes (DEGs) associated with ARC and to improve our understanding of the disease mechanism.

methodsAnterior capsule samples of the human lens were collected from ARC patients and healthy controls and used for RNA sequencing to detect DEGs. Identified DEGs underwent bioinformatics analyses, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Subsequently, reverse transcription quantitative RT-qPCR was used to validate the different expression levels of selected genes.

resultsA total of 698 up-regulated DEGs and 414 down-regulated DEGs were identified in ARC patients compared with controls by transcriptome analysis. Through GO and KEGG bioinformatics analysis, the functions of significantly DEGs and their possible molecular mechanisms were determined. Sequencing results were verified by RT-qPCR as being accurate and reliable.

conclusionsThis study identified several genes associated with ARC, which improves our knowledge of the disease mechanism.

Indexed as

CataractComputational BiologyAgedEpithelial CellsGene Expression ProfilingHumansSequence Analysis, RNAAge-related cataractBioinformatics analysisDifferentially expressed genesPathogenic genes

Identifiers

PMID33771123
PMCPMC7995707
OpenAlexW3138505213

What OpenQuestion holds

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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.