Unknown

Dataset Information

0

Exploring Relationships between the Density of Charged Tracts within Disordered Regions and Phase Separation.


ABSTRACT: Biomolecular condensates form through a process termed phase separation and play diverse roles throughout the cell. Proteins that undergo phase separation often have disordered regions that can engage in weak, multivalent interactions; however, our understanding of the sequence grammar that defines which proteins phase separate is far from complete. Here, we show that proteins that display a high density of charged tracts within intrinsically disordered regions are likely to be constituents of electrostatically organized biomolecular condensates. We scored the human proteome using an algorithm termed ABTdensity that quantifies the density of charged tracts and observed that proteins with more charged tracts are enriched in particular Gene Ontology annotations and, based upon analysis of interaction networks, cluster into distinct biomolecular condensates. These results suggest that electrostatically-driven, multivalent interactions involving charged tracts within disordered regions serve to organize certain biomolecular condensates through phase separation.

SUBMITTER: Somjee R 

PROVIDER: S-EPMC6939312 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

altmetric image

Publications

Exploring Relationships between the Density of Charged Tracts within Disordered Regions and Phase Separation.

Somjee Ramiz R   Mitrea Diana M DM   Kriwacki Richard W RW  

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 20200101


Biomolecular condensates form through a process termed phase separation and play diverse roles throughout the cell. Proteins that undergo phase separation often have disordered regions that can engage in weak, multivalent interactions; however, our understanding of the sequence grammar that defines which proteins phase separate is far from complete. Here, we show that proteins that display a high density of charged tracts within intrinsically disordered regions are likely to be constituents of e  ...[more]

Similar Datasets

| S-EPMC6601514 | biostudies-literature
| S-EPMC9860499 | biostudies-literature
| S-EPMC8044266 | biostudies-literature
| S-EPMC9312987 | biostudies-literature
| S-EPMC9314620 | biostudies-literature
| S-EPMC8405934 | biostudies-literature
2019-05-16 | GSE116592 | GEO
| S-EPMC6535772 | biostudies-literature
| S-EPMC8502884 | biostudies-literature
| S-EPMC7873657 | biostudies-literature