Evidence map›Paper›PMID 39402558›Full record

ArticleJournal of translational medicine2024

CTPAD: an interactive web application for comprehensive transcriptomic profiling in allergic diseases.

Suizi Zhou, Wanqiao Huang, Yitong Liu, Peng Luo, Anqi Lin, Hong Yang, Qianhui Qiu

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Suizi Zhou *Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.ORCID 0000-0002-8457-6044
Wanqiao Huang *Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Yitong LiuDepartment of Otolaryngology-Head and Neck Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510000, Guangdong, China.
Peng LuoDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Anqi LinDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China. smulinanqi0206@i.smu.edu.cn.
Hong YangDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China. smuyanghong@i.smu.edu.cn.
Qianhui QiuGuangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China. qiuqianhui@gdph.org.cn.

Funding

National Nature Science Foundation of China 82171104National Nature Science Foundation of China 82371113National Postdoctoral Researcher Support Program No. GZC20230576
6 · The paper itself

Abstract

backgroundAllergic diseases are systemic chronic inflammatory diseases associated with multiorgan damage and complex pathogenesis. Several studies have revealed the association of gene expression abnormalities with the development of allergic diseases, but the biomedical field still lacks a public platform for comprehensive analysis and visualization of transcriptomic data of allergic diseases.

objectiveThe aim of the study is to provide a comprehensive web tool for multiple analysis in allergic diseases.

methodsWe retrieved and downloaded human and mouse gene expression profile data associated with allergic diseases from the Gene Expression Omnibus (GEO) database and standardized the data uniformly. We used gene sets obtained from the MSigDB database for pathway enrichment analysis and multiple immune infiltration algorithms for the estimation of immune cell proportion. The basic construction of the web pages was based on the Shiny framework. Additionally, more convenient features were added to the server to improve the efficiency of the web pages, such as jQuery plugins and a comment box to collect user feedback.

resultsWe developed CTPAD, an interactive R Shiny application that integrates public databases and multiple algorithms to explore allergic disease-related datasets and implement rich transcriptomic visualization capabilities, including gene expression analysis, pathway enrichment analysis, immune infiltration analysis, correlation analysis, and single-cell RNA sequencing analysis. All functional modules offer customization options and can be downloaded in PDF format with high-resolution images.

conclusionsCTPAD largely facilitates the work of researchers without bioinformatics background to enable them to better explore the transcriptomic features associated with allergic diseases. CTPAD is available at https://smuonco.shinyapps.io/CTPAD/ .

Indexed as

Gene Expression ProfilingHypersensitivityInternetAlgorithmsAnimalsDatabases, GeneticHumansMiceSoftwareTranscriptomeUser-Computer InterfaceAllergic diseasesBioinformaticsGeneTranscriptomic profilingVisualization

Identifiers

PMID39402558
PMCPMC11475762

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LicenceCC BY-NC-ND
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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.