REDH: A database of RNA editome in hematopoietic differentiation and malignancy

RNA编辑 核糖核酸 阿达尔 生物 造血 数据库 计算生物学 RNA序列 转录组 遗传学 基因 基因表达 干细胞 计算机科学
作者
Jiayue Xu,Jiahuan He,Jiabin Yang,Wei Wang,Yue Huo,Yuehong Guo,Yanmin Si,Yufeng Gao,Sheng Wang,Hui Cheng,Tao Cheng,Jia Yu,Xiaoshuang Wang,Yanni Ma
出处
期刊:Chinese Medical Journal [Ovid Technologies (Wolters Kluwer)]
卷期号:137 (3): 283-293
标识
DOI:10.1097/cm9.0000000000002782
摘要

Abstract 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.

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