98%
921
2 minutes
20
Cells harbour numerous mesoscale membraneless compartments that house specific biochemical processes and perform distinct cellular functions. These protein- and RNA-rich bodies are thought to form through multivalent interactions among proteins and nucleic acids, resulting in demixing via liquid-liquid phase separation. Proteins harbouring intrinsically disordered regions (IDRs) predominate in membraneless organelles. However, it is not known whether IDR sequence alone can dictate the formation of distinct condensed phases. We identified a pair of IDRs capable of forming spatially distinct condensates when expressed in cells. When reconstituted in vitro, these model proteins do not co-partition, suggesting condensation specificity is encoded directly in the polypeptide sequences. Through computational modelling and mutagenesis, we identified the amino acids and chain properties governing homotypic and heterotypic interactions that direct selective condensation. These results form the basis of physicochemical principles that may direct subcellular organization of IDRs into specific condensates and reveal an IDR code that can guide construction of orthogonal membraneless compartments.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11929961 | PMC |
http://dx.doi.org/10.1038/s41557-023-01423-7 | DOI Listing |
Phys Rev Lett
August 2025
Indian Institute of Science, Centre for Condensed Matter Theory, Department of Physics, Bengaluru 560 012, India.
We present a detailed analytical and numerical examination, on square and triangular lattices, of the nonreciprocal planar spin model introduced in Dadhichi et al. [Phys. Rev.
View Article and Find Full Text PDFPhys Rev Lett
August 2025
Weizmann Institute of Science, Department of Condensed Matter Physics, Rehovot 7610001, Israel.
We address the problem of identifying a 2+1D topologically ordered phase using measurements on the ground-state wave function. For nonchiral topological order, we describe a series of bulk multipartite entanglement measures that extract the invariants ∑_{a} d_{a}^{2}θ_{a}^{r} for any r≥2, where d_{a} and θ_{a} are the quantum dimension and topological spin of an anyon a, respectively. These invariants are obtained as expectation values of permutation operators between 2r replicas of the wave function, applying different permutations on four distinct regions of the plane.
View Article and Find Full Text PDFPhys Rev Lett
August 2025
Laboratoire de Physique Théorique de la Matière Condensée, Sorbonne Université, CNRS, 75005 Paris, France.
We investigate nonreciprocal XY (NRXY) models defined on two-dimensional lattices in which the coupling strength of a spin with its neighbors varies with their position in the frame defined by the current spin orientation. As expected from the seminal work of Dadhichi et al., [Nonmutual torques and the unimportance of motility for long-range order in two-dimensional flocks, Phys.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
State Key Laboratory of Green Biomanufacturing, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
High-mobility group box protein 1 (HMGB1) is a chromatin-associated nonhistone protein widely distributed in the nucleus of eukaryotic cells. It is transported extracellularly as a proinflammatory mediator or late warning protein to induce immune and inflammatory reactions upon stimuli such as microbial infection. Here, we have found that HMGB1 directly interacts with bacterial DNA analogue CpG-A in the extracellular environment to undergo liquid-liquid phase separation (LLPS) via its positively charged DNA-binding domain.
View Article and Find Full Text PDFNat Chem Biol
September 2025
Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Many pharmaceutical targets partition into biomolecular condensates, whose microenvironments can significantly influence drug distribution. Nevertheless, it is unclear how drug design principles should adjust for these targets to optimize target engagement. To address this question, we systematically investigated how condensate microenvironments influence drug-targeting efficiency.
View Article and Find Full Text PDF