Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

EryDB

General information

URL: https://ngdc.cncb.ac.cn/EryDB/home
Full name: A Transcriptomic Profile Database for Erythropoiesis and Erythroid-related Diseases
Description: Erythropoiesis is a finely regulated and complex process that involves multiple transformations from hematopoietic stem cells to mature red blood cells at hematopoietic sites from the embryonic to the adult stages. Investigations into its molecular mechanisms have generated a wealth of expression data, including bulk and single-cell RNA sequencing data. A comprehensively integrated and well-curated erythropoiesis-specific database will greatly facilitate the mining of gene expression data and enable large-scale research of erythropoiesis and erythroid-related diseases. Here, we present EryDB, an open-access and comprehensive database dedicated to the collection, integration, analysis, and visualization of transcriptomic data for erythropoiesis and erythroid-related diseases. Currently, the database includes expertly curated quality-assured data of 3803 samples and 1,187,119 single cells derived from 107 public studies of three species (Homo sapiens, Mus musculus, and Danio rerio), nine tissue types, and five diseases. EryDB provides users with the ability to not only browse the molecular features of erythropoiesis between tissues and species, but also perform computational analyses of single-cell and bulk RNA sequencing data, thus serving as a convenient platform for customized queries and analyses. EryDB v1.0 is freely accessible at https://ngdc.cncb.ac.cn/EryDB/home.
Year founded: 2023
Last update: 2024.03.06
Version: v1.00
Accessibility:
Accessible
Country/Region: China

Funding support

  • 2022YFC2406803

Classification & Tag

Data type:
RNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Beijing Institute of Genomics, Chinese Academy of Sciences
Address: Key Laboratory of Genome Sciences and Information Beijing Institute of Genomics Chinese Academy of Sciences (China National Center for Bioinformation) NO.1 Beichen West Road, Chaoyang District, Beijing 100101, China
City: Beijing
Province/State: Beijing
Country/Region: China
Contact name (PI/Team): Hongzhu Qu
Contact email (PI/Helpdesk): quhongzhu@big.ac.cn

Publications

39436241
EryDB: A Transcriptomic Profile Database for Erythropoiesis and Erythroid-related Diseases. [PMID: 39436241]
Zheng G, Wu S, Zhang Z, Xin Z, Zhang L, Zhao S, Wu J, Liu Y, Li M, Ruan X, Qiao N, Bao Y, Qu H, Fang X.

Erythropoiesis is a finely regulated and complex process that involves multiple transformations from hematopoietic stem cells to mature red blood cells at hematopoietic sites from the embryonic to the adult stages. Investigations into its molecular mechanisms have generated a wealth of expression data, including bulk and single-cell RNA sequencing data. A comprehensively integrated and well-curated erythropoiesis-specific database will greatly facilitate the mining of gene expression data and enable large-scale research of erythropoiesis and erythroid-related diseases. Here, we present EryDB, an open-access and comprehensive database dedicated to the collection, integration, analysis, and visualization of transcriptomic data for erythropoiesis and erythroid-related diseases. Currently, the database includes expertly curated quality-assured data of 3803 samples and 1,187,119 single cells derived from 107 public studies of three species (Homo sapiens, Mus musculus, and Danio rerio), nine tissue types, and five diseases. EryDB provides users with the ability to not only browse the molecular features of erythropoiesis between tissues and species, but also perform computational analyses of single-cell and bulk RNA sequencing data, thus serving as a convenient platform for customized queries and analyses. EryDB v1.0 is freely accessible at https://ngdc.cncb.ac.cn/EryDB/home.

Genomics Proteomics Bioinformatics. 2024:() | 1 Citations (from Europe PMC, 2025-12-06)

Ranking

All databases:
5447/6895 (21.015%)
Expression:
1105/1347 (18.04%)
5447
Total Rank
1
Citations
1
z-index

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Record metadata

Created on: 2025-07-31
Curated by:
Lina Ma [2025-07-31]
min zheng [2025-07-31]