ArticleProtein science : a publication of the Protein Society2024
MLOsMetaDB, a meta-database to centralize the information on liquid-liquid phase separation proteins and membraneless organelles.
Article in Protein science : a publication of the Protein Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 19 citations in OpenAlex.
- Rethinking bioinformatics in liquid-liquid phase separation: data resources, predictive models, and an event-centric perspective.Briefings in bioinformatics · 2026Review
- A Systematic Evaluation of Protein Phase Separation Predictors across Diverse Protein Landscapes.Computational and structural biotechnology journal · 2026Article
- Protein language model identifies disordered, conserved motifs implicated in phase separation.eLife · 2025Article
- BAV-LLPS: a database of bacterial, archaea, and virus liquid-liquid phase separation proteins.Bioinformatics (Oxford, England) · 2025Article
- Comprehensive protein datasets and benchmarking for liquid-liquid phase separation studies.Genome biology · 2025Article
- Role of liquid-liquid phase separation in cancer: Mechanisms and therapeutic implications.Cancer innovation · 2024Review
- MLOsMetaDB, a meta-database to centralize the information on liquid-liquid phase separation proteins and membraneless organelles.Protein science : a publication of the Protein Society · 2024Article
- Phase separations in oncogenesis, tumor progressions and metastasis: a glance from hallmarks of cancer.Journal of hematology & oncology · 2023Review
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Over the past few years, there has been a focus on proteins that create separate liquid phases in the intracellular liquid environment, known as membraneless organelles (MLOs). These organelles allow for the spatiotemporal associations of macromolecules that dynamically exchange within the cellular milieu. They provide a form of compartmentalization crucial for organizing key functions in many cells. Metabolic processes and signaling pathways in both the cytoplasm and nucleus are among the functions performed by MLOs, which are facilitated by diverse combinations of proteins and nucleic acids. However, disruptions in these liquid-liquid phase separation processes (LLPS) may lead to several diseases, such as neurodegenerative disorders and cancer, among others. To foster the study of this process and MLO function, we present MLOsMetaDB (http://mlos.leloir.org.ar), a comprehensive resource of information on MLO- and LLPS-related proteins. Our database integrates and centralizes available information for every protein involved in MLOs, which is otherwise disseminated across a plethora of different databases. Our manuscript outlines the development and features of MLOsMetaDB, which provides an interactive and user-friendly environment with modern biological visualizations and easy and quick access to proteins based on LLPS role, MLO location, and organisms. In addition, it offers an advanced search for making complex queries to generate customized information. Furthermore, MLOsMetaDB provides evolutionary information by collecting the orthologs of every protein in the same database. Overall, MLOsMetaDB is a valuable resource as a starting point for researchers studying the many processes driven by LLPS proteins and membraneless organelles.
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Registered trials
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