MloDisDB

MloDisDB curates associations between membrane-less organelles (MLOs), liquid–liquid phase separation (LLPS) components, and diseases to support research on MLO-related pathophysiology.


Key Features:

  • Curated Entries: The database contains 771 curated entries derived from 607 publications, each detailing the specific MLO, the associated disease, and implicated functional factors.
  • Evidence-Based Classification: Each entry is classified by level of evidence from the original research as Direct Experiment, Indirect Experiment, or Clinical Investigation.
  • Functional Insights: Records include associations between MLOs and diseases, documented changes in MLOs, alterations in functional factors, and integrated predictions of components involved in LLPS.
  • Comprehensive Coverage: The resource covers MLOs and LLPS-related disease associations with emphasis on MLOs such as nucleoli, nuclear speckles, and stress granules that form through LLPS by condensing proteins and RNAs.

Scientific Applications:

  • Pathophysiology Research: Enables study of the roles of MLO dysfunction and LLPS in disease processes.
  • Therapeutic Target Identification: Supports investigations into potential therapeutic targets and interventions linked to MLOs and LLPS components.
  • Mechanistic Studies and Experimental Design: Provides detailed molecular associations to facilitate hypothesis generation and experimental planning for studies of disease mechanisms.

Methodology:

Entries were compiled through literature review and manual data curation from peer-reviewed publications.

Topics

Details

Tool Type:
web application
Added:
1/18/2021
Last Updated:
2/26/2021

Operations

Publications

Hou C, Xie H, Fu Y, Ma Y, Li T. MloDisDB: a manually curated database of the relations between membraneless organelles and diseases. Briefings in Bioinformatics. 2020;22(4). doi:10.1093/bib/bbaa271. PMID:33126250.

PMID: 33126250
Funding: - National Key Research and Development Program of China: 2018YFA0507504 - National Natural Science Foundation of China: 32070666, 61773025