Open Access

ARTICLE

CHDTEPDB: Transcriptome Expression Profile Database and Interactive Analysis Platform for Congenital Heart Disease

Ziguang Song^1,2, Jiangbo Yu¹, Mengmeng Wang³, Weitao Shen⁴, Chengcheng Wang¹, Tianyi Lu¹, Gaojun Shan¹, Guo Dong¹, Yiru Wang¹, Jiyi Zhao^1,*

1 The First Department of Cardiology, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
2 Central Laboratory, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
3 Oncology Ward 2, Beidahuang Industry Group General Hospital (Heilongjiang Second Cancer Hospital), Harbin, 150001, China
4 Research and Development Department, Hangzhou Mugu Technology Co., Ltd., Hangzhou, 311113, China

* Corresponding Author: Jiyi Zhao. Email:

Congenital Heart Disease 2023, 18(6), 693-701. https://doi.org/10.32604/chd.2024.048081

Received 27 November 2023; Accepted 29 December 2023; Issue published 19 January 2024

Abstract

CHDTEPDB (URL: ) is a manually integrated database for congenital heart disease (CHD) that stores the expression profiling data of CHD derived from published papers, aiming to provide rich resources for investigating a deeper correlation between human CHD and aberrant transcriptome expression. The development of human diseases involves important regulatory roles of RNAs, and expression profiling data can reflect the underlying etiology of inherited diseases. Hence, collecting and compiling expression profiling data is of critical significance for a comprehensive understanding of the mechanisms and functions that underpin genetic diseases. CHDTEPDB stores the expression profiles of over 200 sets of 7 types of CHD and provides users with more convenient basic analytical functions. Due to the differences in clinical indicators such as disease type and unavoidable detection errors among various datasets, users are able to customize their selection of corresponding data for personalized analysis. Moreover, we provide a submission page for researchers to submit their own data so that increasing expression profiles as well as some other histological data could be supplemented to the database. CHDTEPDB is a user-friendly interface that allows users to quickly browse, retrieve, download, and analyze their target samples. CHDTEPDB will significantly improve the current knowledge of expression profiling data in CHD and has the potential to be exploited as an important tool for future research on the disease.

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Keywords

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