Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

REDH

General information

URL: http://www.redhdatabase.com
Full name: RNA Editome in Hematopoietic differentiation and malignancy
Description: REDH is a curated database of RNA editome in hematopoiesis and leukemia. REDH not only integrates 30796 RNA editing sites among 12 murine adult hematopoietic cell populations at different stages, but also systematically characterizes nearly 0.5 million editing events in hematopoietic malignancy.
Year founded: 2023
Last update:
Version:
Accessibility:
Accessible
Country/Region: China

Classification & Tag

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

Contact information

University/Institution: Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences
Address: State Key Laboratory of Common Mechanism Research for Major Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing 100005, China.
City: Beijing
Province/State:
Country/Region: China
Contact name (PI/Team): Yanni Ma
Contact email (PI/Helpdesk): mayanni@ibms.cams.cn

Publications

37386732
REDH: A database of RNA editome in hematopoietic differentiation and malignancy. [PMID: 37386732]
Jiayue Xu, Jiahuan He, Jiabin Yang, Fengjiao Wang, Yue Huo, Yuehong Guo, Yanmin Si, Yufeng Gao, Fang Wang, Hui Cheng, Tao Cheng, Jia Yu, Xiaoshuang Wang, Yanni Ma

BACKGROUND: The conversion of adenosine (A) to inosine (I) through deamination is the prevailing form of RNA editing, impacting numerous nuclear and cytoplasmic transcripts across various eukaryotic species. Millions of high-confidence RNA editing sites have been identified and integrated into various RNA databases, providing a convenient platform for the rapid identification of key drivers of cancer and potential therapeutic targets. However, the available database for integration of RNA editing in hematopoietic cells and hematopoietic malignancies is still lacking.
METHODS: We downloaded RNA sequencing (RNA-seq) data of 29 leukemia patients and 19 healthy donors from National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database, and RNA-seq data of 12 mouse hematopoietic cell populations obtained from our previous research were also used. We performed sequence alignment, identified RNA editing sites, and obtained characteristic editing sites related to normal hematopoietic development and abnormal editing sites associated with hematologic diseases.
RESULTS: We established a new database, "REDH", represents RNA editome in hematopoietic differentiation and malignancy. REDH is a curated database of associations between RNA editome and hematopoiesis. REDH integrates 30,796 editing sites from 12 murine adult hematopoietic cell populations and systematically characterizes more than 400,000 edited events in malignant hematopoietic samples from 48 cohorts (human). Through the Differentiation, Disease, Enrichment, and knowledge modules, each A-to-I editing site is systematically integrated, including its distribution throughout the genome, its clinical information (human sample), and functional editing sites under physiological and pathological conditions. Furthermore, REDH compares the similarities and differences of editing sites between different hematologic malignancies and healthy control.
CONCLUSIONS: REDH is accessible at http://www.redhdatabase.com/. This user-friendly database would aid in understanding the mechanisms of RNA editing in hematopoietic differentiation and malignancies. It provides a set of data related to the maintenance of hematopoietic homeostasis and identifying potential therapeutic targets in malignancies.

Chin Med J (Engl). 2023:() | 1 Citations (from Europe PMC, 2025-12-06)

Ranking

All databases:
6134/6895 (11.051%)
Modification:
320/337 (5.341%)
6134
Total Rank
1
Citations
0.5
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2023-08-23
Curated by:
Yuxin Qin [2023-09-12]
Xinyu Zhou [2023-09-07]
Yuxin Qin [2023-08-23]