Biology subjects

Brangwynne, C. P.

Publications and source records attributed to Brangwynne, C. P..

At least 19 recordsLinked to original sources

bioRxiv2026

Ribosome Molecular Aging Shapes Translation Dynamics

Cellular homeostasis relies on continual renewal of cellular components, yet some complexes like ribosomes persist for long periods, raising the question of whether extended molecular age impacts functional fidelity. Here, we introduce a spatiotemporal mapping strategy to resolve biomolecular life stages, and show that intracellular ribosome aging alters translational dynamics at specific transcripts. Molecularly aged ribosomes exhibit impaired elongation at basic amino acid-rich sequences, leading to increased pausing, premature termination, and ribosome collisions. By profiling ribosomal RNA modifications, we find that molecular aging increases the collision propensity of specific ribosome subpopulations. Consistent with our findings, enrichment of aged ribosomes in cells amplifies molecular age-dependent translation defects. In vivo labeling of ribosomes in aged C. elegans demonstrates that molecularly aged ribosomes shape translational dynamics during organismal aging. These findings identify ribosome molecular age as a determinant of translational dynamics, and link molecular aging of a core gene-expression complex to organismal aging. HIGHLIGHTSO_LIA pulse-chase labeling strategy enables mapping subcellular demographics of macromolecular complexes in space and time. C_LIO_LIMolecular aging of ribosomes drives differential mRNA translation and shapes elongation dynamics. C_LIO_LIThe collision propensity of specific ribosome subpopulations increases with molecular age. C_LIO_LIOlder ribosomes shape translation dynamics during organismal aging. C_LI

cell biology↗

bioRxiv2025

Kinase KEY1 controls pyrenoid condensate size throughout the cell cycle by disrupting phase separation interactions

Biomolecular condensates spatially organize cellular functions, but the regulation of their size, number, dissolution, and re-condensation is poorly understood. The pyrenoid, an algal biomolecular condensate that mediates one-third of global CO2 fixation, typically exists as one large condensate per chloroplast, but during cell division it transiently dissolves and reconfigures into multiple smaller condensates. Here, we identify a kinase, KEY1, in the model alga Chlamydomonas reinhardtii that regulates pyrenoid condensate size and number dynamics throughout the cell cycle and is necessary for normal pyrenoid function and growth. Unlike wild type, key1 mutant cells have multiple smaller condensates throughout the cell cycle that fail to dissolve during cell division. We show that KEY1 localizes to the condensates and promotes their dissolution by disrupting interactions between their core constituents, the CO2-fixing enzyme Rubisco and its linker protein EPYC1, through EPYC1 phosphorylation. We develop a biophysical model that recapitulates KEY1-mediated condensate size and number regulation and suggests a mechanism for controlling condensate position. These data provide a foundation for the mechanistic understanding of the regulation of size, number, position, and dissolution in pyrenoids and other biomolecular condensates.

cell biology↗

bioRxiv2025

Aberrant host mRNA partitioning in Ebola virus condensates driven by RNA folding perpetuates species-dependent interferon response

RNA viruses form membraneless condensates in host cells to drive replication, but whether these compartments also regulate host RNAs remains unclear. Using MERFISH-based subcellular transcriptomics, we quantified cellular mRNA recruitment into Ebola virus condensates under basal and IFN-stimulated states. We find that in the basal state, cellular RNAs with minimally folded coding regions are selectively recruited. Under IFN-stimulation, however, interferon-stimulated genes (ISGs) with structured 3'UTRs concentrate in viral condensates. We find that both features, minimally folded coding regions and structured 3'UTRs, are conserved in the viral RNA genome, supporting viral genome retention in condensates. In parallel, for cellular mRNAs, we find that partitioning into condensates escapes decay, prolonging RNA-half-life, and amplifying rather than dampening ISG expression. Fruit bats, which do not experience severe disease for RNA viruses, instead have ISGs with reduced 3'UTR folding, and may evade condensate-sequestration, enabling balanced antiviral responses. This selective stabilization links condensate function to RNA regulation as a molecular determinant of viral and host co-evolution and disease pathogenesis.

microbiology↗

bioRxiv2025

Deep Learning of Functional Perturbations from Condensate Morphology

Biomolecular condensates compartmentalize the interior of living cells to spatiotemporally organize complex functions, yet linking molecular interactions within condensates to their mesoscale organization remains a major challenge. To bridge this gap, we developed a neural network-based framework - Deep-Phase - that uses microscopy images to quantitatively classify condensate morphology changes resulting from pharmacological alterations in associated biochemical processes. We use Deep-Phase to precisely quantify time- and concentration-dependent structural perturbations to the multiphase nucleolus and show that they are tightly coupled to potencies of drugs inhibiting rRNA transcription and processing. Applying Deep-Phase in a chemical screen, we identify a unique nucleolar morphology and discover a role for a DNA topoisomerase in rRNA processing. Mechanistic studies of this morphology provide insights into how interfaces between nucleolar subcompartments are maintained. We demonstrate Deep-Phases adaptability to diverse cell lines, labels, and condensates, offering a powerful platform for uncovering cellular organizing principles and therapeutic targets. HighlightsO_LIA deep learning framework, Deep-Phase, classifies and quantifies drug-induced changes in morphologies of nucleoli, nucleolar speckles, and viral cytoplasmic condensates, directly from images. C_LIO_LITime- and concentration-dependent morphological responses to perturbation predict associated disruptions in RNA transcription and processing. C_LIO_LIUsing Deep-Phase in a high-content small molecule screen reveals a unique nucleolar morphology induced by TOP1 inhibition. C_LIO_LITOP1 inhibition leads to reduced levels and processing of large ribosomal subunit precursors and provides a mechanism for maintenance of nucleolar phase boundaries. C_LI

molecular biology↗

bioRxiv2025

Condensate-driven chromatin organization via elastocapillary interactions

Biomolecular condensates are ubiquitous structures found throughout eukaryotic cells, with nuclear condensates playing a key role in the mesoscale organization and functionality of the genome1,2. Protein- and RNA-rich liquid-like condensates form through phase separation on and around chromatin, driving diverse condensate morphologies with varying sphericity and intra-condensate chromatin density3,4. However, a unifying set of physical principles underlying these varied interactions and their implications for chromatin organization remains elusive. Here, we develop and experimentally validate a mesoscopic model that bridges the physics of phase separation and chromatin mechanics. Specifically, by integrating computational modeling with experiments using two canonical condensate proteins, the heterochromatin protein HP1, and the euchromatin protein BRD4, we demonstrate that wetting properties and chromatin stiffness shape condensate morphology, while condensates remodel chromatin mechanics and organization. This two-way interplay is governed by elastocapillarity--the deformation of chromatin by condensate interfacial tension -- and resolves discrepancies in nuclear condensate behavior, with emergent behaviors that deviate from the simplest liquid-liquid phase separation (LLPS) models5-8. Our findings underscore that nuclear condensates and chromatin cannot be studied in isolation, as they are fundamentally interdependent, impacted by biomolecularly-defined wetting properties, with implications for genome organization, transcriptional regulation, and epigenetic control in diverse phenotypes, including cancer2,9,10. Beyond the nucleus, the methodologies we present offer a generalizable platform for exploring multiphase, multicomponent soft matter systems across a broad range of biological and synthetic contexts11.

biophysics↗

bioRxiv2025

Metabolism of epigenetic ribonucleosides leads to nucleolar stress and cytotoxicity

Post-transcriptional RNA modifications are ubiquitous in biology, but the fate of epigenetic ribonucleotides after RNA turnover and the consequences of their metabolism and misincorporation into nucleic acids are largely unknown. Here we explore the metabolism of epigenetic ribonucleosides in human cells by studying effects on cell growth, quantifying misincorporation into cellular RNAs and identifying metabolic regulators, and exploring phenotypes associated with cytotoxicity. We find that bulky N6-modified adenosines (i.e. i6A) exhibit high levels of cytotoxicity and RNA misincorporation, whereas cells dramatically restrict the misincorporation of small N6-modified adenosines (i.e. m6A), partly through sanitization by enzymatic deamination. Epigenetic ribopyrimidines also exhibit cytotoxicity, mediated primarily by nucleoside kinase UCK2, but only at much higher concentrations than ribopurines. We further characterize the effects of cytotoxic ribonucleoside metabolism on nucleolar morphology and protein translation. Taken together, our work provides new insights into the metabolism of epigenetic ribonucleosides and mechanisms underlying their cytotoxicity to cells.

biochemistry↗

bioRxiv2025

Genome-wide mapping of mesoscale neuronal RNA organization and condensation

Subcellular RNA organization can affect critical cellular functions. However, our understanding of RNA microenvironments, particularly biomolecular condensates, remains limited, largely due to a lack of technologies to comprehensively interrogate mesoscale RNA organization. Here, we adapt Split-Pool Recognition of Interactions by Tag Extension to map micron-scale RNA-RNA spatial proximity genome-wide across cell regions (RNA-SPRITE). Deploying RNA-SPRITE, we find extensive, conserved organization of mature mRNAs, with increased colocalization between mRNAs that share RNA-binding protein (RBP) motifs or encode functionally related proteins. Both effects are especially strong in dendrites and axons, suggesting prevalent mRNA co-regulation. Moreover, mRNAs with less compact folding, lower translation efficiency, and specific RBP motifs are more likely to be in RNA-rich condensates. However, perturbations that broadly dissolve or enhance condensation reveal that RBP motif and encoded protein-mediated colocalizations largely remain intact, independent of condensation. These results demonstrate the power of RNA-SPRITE in revealing critical aspects of RNAs functional organization. In BriefUnbiased, genome-wide maps of RNA-RNA mesoscale spatial proximity uncover extensive subcellular organization and its governing principles. HighlightsO_LIRNA-SPRITE reveals micron-scale RNA colocalization genome-wide across cell regions C_LIO_LImRNA colocalization specificity is driven by shared motifs and encoded protein function C_LIO_LImRNAs with less compact folding, lower translation efficiency, and distinct protein-binding motifs are more likely to be in condensates C_LIO_LINeurites have a particularly high degree of sequence and function-dependent mRNA organization C_LI

molecular biology↗

bioRxiv2025

Squid primary cell culture as a model system and experimental tool

Squid primary cells from various tissues and ages are isolated, maintained in culture, and express exogenous genes. This protocol opens up numerous opportunities in molecular biology, neuroscience, and marine biology, enabling molecular and cellular-level investigations into processes specific to squids, including their complex behaviors, rapid color change mechanisms, RNA editing capabilities, with broader implications in basic cell physiology. We also describe procedures that harness life-stage tractability in Euprymna berryi squids towards future studies of aging in this model marine organism. Highlights- Squid primary cells are isolated from optic lobes, gills, eyes, and the skin - Cells from these tissues can be dissociated from any life stage of the squid - Isolated cells can express exogenous genes through mRNA transfections and are subject to live and/or fixed cell imaging - Specific details for optimized media conditions, trypsinization, plating, and passaging are included

cell biology↗

bioRxiv2024

Mapping and engineering RNA-controlled architecture of the multiphase nucleolus

Biomolecular condensates are key features of intracellular compartmentalization. As the most prominent nuclear condensate in eukaryotes, the nucleolus is a layered multiphase liquid-like structure and the site of ribosome biogenesis. In the nucleolus, ribosomal RNAs (rRNAs) are transcribed and processed, undergoing multiple maturation steps that ultimately result in formation of the ribosomal small subunit (SSU) and large subunit (LSU). However, how rRNA processing is coupled to the layered nucleolar organization is poorly understood due to a lack of tools to precisely monitor and perturb nucleolar rRNA processing dynamics. Here, we developed two complementary approaches to spatiotemporally map rRNA processing and engineer de novo nucleoli. Using sequencing in parallel with imaging, we found that rRNA processing steps are spatially segregated, with sequential maturation of rRNA required for its outward movement through nucleolar phases. Furthermore, by generating synthetic de novo nucleoli through an engineered rDNA plasmid system in cells, we show that defects in SSU processing can alter the ordering of nucleolar phases, resulting in inside-out nucleoli and preventing rRNA outflux, while LSU precursors are necessary to build the outermost layer of the nucleolus. These findings demonstrate how rRNA is both a scaffold and substrate for the nucleolus, with rRNA acting as a programmable blueprint for the multiphase architecture that facilitates assembly of an essential molecular machine.

cell biology↗

bioRxiv2024

Live imaging of Alu elements reveals non-uniform euchromatin dynamics coupled to transcription

Chromatin structure and dynamics are crucial for eukaryotic nuclear functions. Hi-C and related genomic assays have revealed chromatin conformations, such as A/B compartments, in fixed cells, but the dynamic motion of such structures is not well understood. Moreover, elucidating the relationship between the motion of chromatin and transcriptional activity is hampered by a lack of tools for specifically measuring the mobility of active euchromatin. Here, we introduce a CRISPR-based strategy for live imaging of the gene-rich A compartment by labeling Alu elements -- a retrotransposon family enriched within the transcriptionally active A compartment. Surprisingly, within euchromatin, microscopy analysis reveals that Alu-rich regions do not correlate with lower local H2B density, and form irregular foci of a few hundred nanometers in diameter, underscoring the heterogeneity of euchromatin organization. Alu-rich (gene-rich) chromatin is also more mobile than Alu-poor (gene-poor) chromatin, and transcription inhibition by actinomycin D results in decreased chromatin mobility of Alu-rich regions. These observations highlight the complexity of chromatin organization and dynamics and connect them to transcriptional activity on a genome-wide scale.

biophysics↗

bioRxiv2024

Interplay of condensation and chromatin binding underlies BRD4 targeting

Nuclear compartments form via biomolecular phase separation, mediated through multivalent properties of biomolecules concentrated within condensates. Certain compartments are associated with specific chromatin regions, including transcriptional initiation condensates, which are composed of transcription factors and transcriptional machinery, and form at acetylated regions including enhancer and promoter loci. While protein self-interactions, especially within low-complexity and intrinsically disordered regions, are known to mediate condensation, the role of substrate-binding interactions in regulating the formation and function of biomolecular condensates is under-explored. Here, utilizing live-cell experiments in parallel with coarse-grained simulations, we investigate how chromatin interaction of the transcription factor BRD4 modulates its condensate formation. We find that both kinetic and thermodynamic properties of BRD4 condensation are affected by chromatin binding: nucleation rate is sensitive to BRD4-chromatin interactions, providing an explanation for the selective formation of BRD4 condensates at acetylated chromatin regions, and thermodynamically, multivalent acetylated chromatin sites provide a platform for BRD4 clustering below the concentration required for off-chromatin condensation. This provides a molecular and physical explanation of the relationship between nuclear condensates and epigenetically modified chromatin that results in their mutual spatiotemporal regulation, suggesting that epigenetic modulation is an important mechanism by which the cell targets transcriptional condensates to specific chromatin loci.

molecular biology↗

bioRxiv2023

A Modular Design for Synthetic Membraneless Organelles Enables Compositional and Functional Control

Living cells organize a wide variety of processes through compartmentalization into membraneless organelles, known as biomolecular condensates. Given their ubiquitous presence across a wide spectrum of different organisms and cell types, biomolecular condensates are increasingly considered to offer great potential for biotechnological applications. However, native condensates remain difficult to harness for engineering applications, both due to their intertwined mechanisms of assembly and compositional control, and potential disruptions to native cellular processes. Here, we demonstrate a modular framework for the formation of synthetic condensates designed to decouple cluster formation and protein recruitment. Synthetic condensates are built through constitutive oligomerization of intrinsically-disordered regions (IDRs), which drive the formation of condensates whose composition can be independently defined through fused interaction domains. The composition of the proteins driven to partition into the condensate can be quantitatively described using a binding equilibrium model, demonstrating predictive control of how component expression levels and interaction affinity determine the degree of protein recruitment. Finally, the engineered system is utilized to regulate protein interactions and metabolic flux by harnessing the systems compositional tunability.

synthetic biology↗

bioRxiv2023

Asymmetric oligomerization state and sequence patterning can tune multiphase condensate miscibility

Endogenous biomolecular condensates, comprised of a multitude of proteins and RNAs, can organize into multiphasic structures, with compositionally-distinct phases. This multiphasic organization is generally understood to be critical for facilitating their proper biological function. However, the biophysical principles driving multiphase formation are not completely understood. Here, we utilize in vivo condensate reconstitution experiments and coarse-grained molecular simulations to investigate how oligomerization and sequence interactions modulate multiphase organization in biomolecular condensates. We demonstrate that increasing the oligomerization state of an intrinsically disordered protein region (IDR) results in enhanced immiscibility and multiphase formation. Interestingly, we found that oligomerization tunes the miscibility of IDRs in an asymmetric manner, with the effect being more pronounced when the IDR exhibiting stronger homotypic IDR interactions is oligomerized. Our findings suggest that oligomerization is a flexible biophysical mechanism which cells can exploit to tune the internal organization of biomolecular condensates and their associated biological functions.

biophysics↗

bioRxiv2022

An FGF Timer for Zygotic Genome Activation

Zygotic genome activation has been extensively studied in a variety of systems including flies, frogs, and mammals. However, there is comparatively little known about the precise timings of gene induction during the earliest phases of embryogenesis. Here we employ high-resolution in situ detection methods, along with genetic and experimental manipulations, to study the timing of zygotic activation in the simple model chordate, Ciona intestinalis with minute-scale temporal precision. We found that two Prdm1 homologs in Ciona are the earliest genes that respond to FGF signaling. We present evidence for a FGF timing mechanism that is driven by derepression of the ERF repressor by ERK activity, which works in concert with localized activators such as Foxa.a. Absence of ERF results in derepression of target genes throughout the embryo. A highlight of this timer is the sharp transition in FGF responsiveness between the 8- and 16-cell stages of development. We propose that this timer is an innovation of chordates that is also employed by other vertebrates.

developmental biology↗

bioRxiv2022

Interface resistance of biomolecular condensates

A hallmark of biomolecular condensates formed via liquid-liquid phase separation is that they dynamically exchange material with their surroundings, and this process can be crucial to condensate function. Intuitively, the rate of exchange can be limited by the flux from the dilute phase or by the mixing speed in the dense phase. Surprisingly, a recent experiment suggests that exchange can also be limited by the dynamics at the droplet interface, implying the existence of an "interface resistance". Here, we first derive an analytical expression for the timescale of condensate material exchange, which clearly conveys the physical factors controlling exchange dynamics. We then utilize sticker-spacer polymer models to show that interface resistance can arise when incident molecules transiently touch the interface without entering the dense phase, i.e., the molecules "bounce" from the interface. Our work provides insight into condensate exchange dynamics, with implications for both natural and synthetic systems.

biophysics↗

bioRxiv2022

Viscoelastic RNA entanglement and advective flow underlie nucleolar form and function

The nucleolus facilitates transcription, processing, and assembly of ribosomal RNA (rRNA), the most abundant RNA in cells. Nucleolar function is facilitated by its multiphase liquid properties, but nucleolar fluidity and its connection to ribosome biogenesis remain unclear. Here, we used quantitative imaging, mathematical modeling, and pulse-chase nucleotide labelling to map nucleolar rRNA dynamics. Inconsistent with a purely diffusive process, rRNA steadily expands away from the transcriptional sites, moving in a slow (~1[A]/s), radially-directed fashion. This motion reflects the viscoelastic properties of a highly concentrated gel of entangled rRNA, whose constant polymerization drives steady outward flow. We propose a new viscoelastic rRNA release model, where nucleolar rRNA cleavage and processing reduce entanglement, fluidizing the nucleolar periphery to facilitate release of mature pre-ribosomal particles.

biophysics↗

bioRxiv2021

Evidence for widespread cytoplasmic structuring into mesoscopic condensates

Eukaryotic cytoplasm organizes itself via both membrane-bound organelles and membrane-less biomolecular condensates (BMCs). Known BMCs exhibit liquid-like properties and are typically visualized on the scale of ~1 m. They have been studied mostly by microscopy, examining select individual proteins. Here, we investigate the global organization of native cytoplasm with quantitative proteomics, using differential pressure filtration, size exclusion, and dilution experiments. These assays reveal that BMCs form throughout the cytosplasm, predominantly at the mesoscale of ~100 nm. Our data indicate that at least 18% of the proteome is organized via such mesoscale BMCs, suggesting that cells widely employ dynamic liquid-like clustering to organize their cytoplasm, at surprisingly small length scales.

biochemistry↗

bioRxiv2021

Phase separation versus aggregation behavior for model disordered proteins

Liquid-liquid phase separation (LLPS) is widely utilized by the cell to organize and regulate various biochemical processes. Although the LLPS of proteins is known to occur in a sequence dependent manner, it is unclear how sequence properties dictate the nature of the phase transition and thereby influence condensed phase morphology. In this work, we have utilized grand canonical Monte Carlo simulations for a simple coarse-grained model of disordered proteins to systematically investigate how sequence distribution, sticker fraction and chain length influence the phase behavior and regulate the formation of finite-size aggregates preempting macroscopic phase separation for some sequences. We demonstrate that a normalized sequence charge decoration (SCD) parameter establishes a "soft" criterion for predicting the underlying phase transition of a model protein. Additionally, we find that this order parameter is strongly correlated to the critical density for phase separation, highlighting an unambiguous connection between sequence distribution and condensed phase density. Results obtained from an analysis of the order parameter reveals that at sufficiently long chain lengths, the vast majority of sequences are likely to phase separate. Our results predict that classical LLPS should be the dominant phase transition for disordered proteins and suggests a possible reason behind recent findings of widespread phase separation throughout living cells.

biophysics↗