ArticleNature chemistry2024
Assembling membraneless organelles from de novo designed proteins.
Article in Nature chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Directed evolution of functional intrinsically disordered proteins.Nature chemical biology · 2026Article
- Bacteriophage P22 Virus-Like Particles as Nanoscale Protein Scaffolds for Plant Synthetic Biology.Plant biotechnology journal · 2026Article
- Reversible Nucleolar Complex Coacervation by Short Cationic Peptides.Journal of the American Chemical Society · 2026Article
- The Polymers of Life: Exploring Cellular Function Through Polymer Concepts.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Phase separation of a heterochiral peptide-drug conjugate amplified by ionic interactions.Nature communications · 2026Article
- Engineering Design of Artificial Phase-Separating Proteins.Biotechnology journal · 2026Review
- Backbone rigidity of disordered protein linkers from NMR experiments and MD simulations.Biophysical journal · 2026Article
- Phase separation of PGL-3 driven by structured domains that oligomerize and interact with RGG motifs.EMBO reports · 2026Article
- Expression of nano-engineered RNA organelles in bacteria.Nature communications · 2026Article
- Spectrin condensates provide a nidus for assembling the axonal membrane-associated periodic skeleton.iScience · 2026Article
- Biomolecular Condensates in Disease: Decoding the Material State and Engineering Precision Modulators.International journal of molecular sciences · 2026Review
- Photothermal-Responsive Phase Transition of Proteoliposomes for Heat Shock Protein Sequestering against Cancer Thermoresistance.Research (Washington, D.C.) · 2026Article
- Construction of artificial organellesChemical science · 2025Review
- Grafted Coiled-Coil Peptides as Multivalent Scaffolds for Protein Recognition.ACS chemical biology · 2025Article
- Tandem-repeat proteins introduce tuneable properties to engineered biomolecular condensates.Chemical science · 2025Article
- Nonspecific interactions can lead to liquid-liquid phase separation in coiled-coil proteins models.bioRxiv : the preprint server for biology · 2025Article
- Artificial metalloenzyme assembly in cellular compartments for enhanced catalysis.Nature chemical biology · 2025Article
- Toward Design Principles for Biomolecular Condensates for Metabolic Pathways.Advanced biology · 2025Review
- A globular protein exhibits rare phase behavior and forms chemically regulated orthogonal condensates in cells.Nature communications · 2025Article
- Interfacing bacterial microcompartment shell proteins with genetically encoded condensates.Protein science : a publication of the Protein Society · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Recent advances in de novo protein design have delivered a diversity of discrete de novo protein structures and complexes. A new challenge for the field is to use these designs directly in cells to intervene in biological processes and augment natural systems. The bottom-up design of self-assembled objects such as microcompartments and membraneless organelles is one such challenge. Here we describe the design of genetically encoded polypeptides that form membraneless organelles in Escherichia coli. To do this, we combine de novo α-helical sequences, intrinsically disordered linkers and client proteins in single-polypeptide constructs. We tailor the properties of the helical regions to shift protein assembly from arrested assemblies to dynamic condensates. The designs are characterized in cells and in vitro using biophysical methods and soft-matter physics. Finally, we use the designed polypeptide to co-compartmentalize a functional enzyme pair in E. coli, improving product formation close to the theoretical limit.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.