REDH

REDH catalogs adenosine-to-inosine (A-to-I) RNA editing events across murine and human hematopoietic samples to integrate and characterize the RNA editome in hematopoietic differentiation and malignancy.


Key Features:

  • Extensive Data Integration: Consolidates 30,796 A-to-I editing sites from 12 murine adult hematopoietic cell populations and more than 400,000 edited events across 48 human cohorts of malignant hematopoietic samples, including RNA-seq from 29 leukemia patients and 19 healthy donors obtained via NCBI Gene Expression Omnibus (GEO).
  • Differentiation Module: Explores RNA editing patterns associated with normal hematopoietic development.
  • Disease Module: Identifies and characterizes abnormal editing sites linked to hematologic diseases and malignancies.
  • Enrichment Module: Analyzes the genomic distribution and enrichment of editing events across genomic features.
  • Knowledge Module: Integrates clinical metadata for human samples to provide physiological and pathological context for editing events.
  • Comparative Analysis: Enables comparison of RNA editing profiles between hematologic malignancies and healthy controls to identify disease-specific editing patterns.

Scientific Applications:

  • Understanding Hematopoietic Homeostasis: Provides detailed editome data to investigate RNA editing roles in normal hematopoietic processes and cellular homeostasis.
  • Identifying Therapeutic Targets: Highlights editing sites altered in pathological conditions to support the identification of potential therapeutic targets in hematologic malignancies.
  • Research and Clinical Insights: Supports studies of RNA editing in disease progression and treatment response by linking editome patterns to clinical metadata.

Methodology:

RNA-seq data from 29 leukemia patients and 19 healthy donors (GEO) and from 12 murine hematopoietic cell populations were downloaded, followed by sequence alignment and identification processes to systematically catalog A-to-I editing sites.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
1/23/2024
Last Updated:
1/23/2024

Operations

Publications

Xu J, He J, Yang J, Wang F, Huo Y, Guo Y, Si Y, Gao Y, Wang F, Cheng H, Cheng T, Yu J, Wang X, Ma Y. REDH: A database of RNA editome in hematopoietic differentiation and malignancy. Chinese Medical Journal. 2023;137(3):283-293. doi:10.1097/cm9.0000000000002782. PMID:37386732. PMCID:PMC10836905.