{"title":"DropFit: Determination of the Critical Concentration for Protein Liquid–Liquid Phase Separation","authors":"Michaela Brezinova , Samuel Toluwanimi Dada , Monika Fuxreiter , Michele Vendruscolo","doi":"10.1016/j.jmb.2025.169294","DOIUrl":null,"url":null,"abstract":"<div><div>In the liquid–liquid phase separation of proteins, dense liquid droplets often form within the dilute phase below the critical concentration. The resulting size distribution of these precritical droplets can be described by a scale-invariant distribution, which is characterized by an increasing average as the concentration approaches from below the critical value. This phenomenon can be leveraged for the quantitative estimation of the critical concentration. Here, to facilitate applications of this approach, we present the DropFit web server (<span><span>https://www-cohsoftware.ch.cam.ac.uk/index.php/dropfit</span><svg><path></path></svg></span>). DropFit can be used to estimate the critical concentration using experimental data on the length, area, or volume of the precritical droplets, which are taken away from the critical concentration and thus be more accurate and reproducible. We anticipate that the accurate value of the critical concentration under different experimental conditions will help understand the contributions from different macromolecules to the formation of protein condensates, and to investigate the perturbations that lead to pathological processes through the disruption of membraneless organelles.</div></div>","PeriodicalId":369,"journal":{"name":"Journal of Molecular Biology","volume":"437 19","pages":"Article 169294"},"PeriodicalIF":4.5000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Biology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022283625003602","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
In the liquid–liquid phase separation of proteins, dense liquid droplets often form within the dilute phase below the critical concentration. The resulting size distribution of these precritical droplets can be described by a scale-invariant distribution, which is characterized by an increasing average as the concentration approaches from below the critical value. This phenomenon can be leveraged for the quantitative estimation of the critical concentration. Here, to facilitate applications of this approach, we present the DropFit web server (https://www-cohsoftware.ch.cam.ac.uk/index.php/dropfit). DropFit can be used to estimate the critical concentration using experimental data on the length, area, or volume of the precritical droplets, which are taken away from the critical concentration and thus be more accurate and reproducible. We anticipate that the accurate value of the critical concentration under different experimental conditions will help understand the contributions from different macromolecules to the formation of protein condensates, and to investigate the perturbations that lead to pathological processes through the disruption of membraneless organelles.
期刊介绍:
Journal of Molecular Biology (JMB) provides high quality, comprehensive and broad coverage in all areas of molecular biology. The journal publishes original scientific research papers that provide mechanistic and functional insights and report a significant advance to the field. The journal encourages the submission of multidisciplinary studies that use complementary experimental and computational approaches to address challenging biological questions.
Research areas include but are not limited to: Biomolecular interactions, signaling networks, systems biology; Cell cycle, cell growth, cell differentiation; Cell death, autophagy; Cell signaling and regulation; Chemical biology; Computational biology, in combination with experimental studies; DNA replication, repair, and recombination; Development, regenerative biology, mechanistic and functional studies of stem cells; Epigenetics, chromatin structure and function; Gene expression; Membrane processes, cell surface proteins and cell-cell interactions; Methodological advances, both experimental and theoretical, including databases; Microbiology, virology, and interactions with the host or environment; Microbiota mechanistic and functional studies; Nuclear organization; Post-translational modifications, proteomics; Processing and function of biologically important macromolecules and complexes; Molecular basis of disease; RNA processing, structure and functions of non-coding RNAs, transcription; Sorting, spatiotemporal organization, trafficking; Structural biology; Synthetic biology; Translation, protein folding, chaperones, protein degradation and quality control.