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Using Caenorhabditis elegans as a Model System to Study Protein Homeostasis in a Multicellular Organism

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dbMisLoc: A Manually Curated Database of Conditional Protein Mis-localization Events.

Ren-Hua Wang¹, Tao Luo¹, Yu-Peng Guo¹

¹College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China.

Interdisciplinary Sciences, Computational Life Sciences

|March 31, 2023

Summary

This summary is machine-generated.

A new database, dbMisLoc, manually curates conditional protein mis-localization events. This resource aids understanding of protein mis-localization in complex disorders by centralizing experimental data.

Keywords:

Conditional mis-localization Database Protein mis-localization dbMisLoc

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Last Updated: Aug 4, 2025

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Published on: December 18, 2013

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Published on: April 20, 2018

Area of Science:

Molecular Biology
Bioinformatics
Genomics

Background:

Protein mis-localization is increasingly reported in various conditions, including complex disorders.
Existing models lack a comprehensive, centralized database for experimentally validated protein mis-localization events.
Data on protein mis-localization is scattered across scientific literature.

Purpose of the Study:

To create a comprehensive database resource for conditional protein mis-localization events.
To facilitate the study of protein mis-localization and its link to complex disorders.
To provide a centralized platform for accessing and analyzing protein mis-localization data.

Main Methods:

Manual curation of conditional protein mis-localization events from diverse scientific literature.
Development of the dbMisLoc database to store protein localization, mis-localization, and associated conditions.
Integration of a BLAST search engine for similarity searches of mis-localized proteins.

Main Results:

The dbMisLoc database has been established, containing manually curated protein mis-localization events.
The database covers 14 categories of conditions, including diseases, drug treatments, and environmental stresses.
dbMisLoc offers intuitive viewing, searching, visualization, and downloading of protein mis-localization records.

Conclusions:

dbMisLoc provides a valuable, centralized resource for researchers studying protein mis-localization.
The database supports the investigation of protein mis-localization's role in complex disorders.
dbMisLoc is publicly accessible and its source code is available for user-hosted mirrors.