Biology subjects

Shu, T.

Publications and source records attributed to Shu, T..

11 recordsLinked to original sources

bioRxiv2026

Nascent protein retention at polysomes reduces kinetic barriers to self-assembly

Living proteomes are necessarily far from equilibrium. It is paradoxical, then, that reducing the translation of new proteins -- which should promote equilibration -- instead prolongs life. We investigated the impact of translational flux to nucleation barriers that preserve the solubility of proteins destined to form amyloids or other assemblies. By manipulating translation initiation rates directly or indirectly, across yeast and human cells, and across a variety of supersaturable proteins, we find that accelerating translation initiation broadly accelerates nucleation irrespective of their global concentrations. We showed that this effect was confined to polysomes and was enhanced by N-terminal placement or other features that retained the nascent aggregating domain at polysomes. Finally, we show that intrinsically disordered regions with high tendencies to self-associate are specifically positioned to do so co-translationally, providing evidence that cotranslational nucleation has shaped proteome evolution.

cell biology↗

bioRxiv2026

Bottom-up and generative computations both uniquely explain social brain responses

Making social evaluations from visual input is a core human ability that engages brain regions involved in social perception, including portions of the superior temporal sulcus (STS), as well as higher-level mentalizing regions, such as the temporoparietal junction (TPJ). One common hypothesis proposes that these regions operate hierarchically: social perception regions like posterior STS (pSTS) implement bottom-up computations to generate fast, stimulus-derived representations of social interactions, while mentalizing regions like TPJ perform inverse-planning computations to infer the underlying goals and motivations driving agents behavior. However, this computational-neural mapping has never been formally tested, in large part due to the lack of successful computational models of social processing. We developed computational models aligned with these two frameworks: a graph-neural-network (GNN) model that recognizes social interactions by relying on relational visual information, and a generative inverse-planning model that does so by inverting a model of agents goals and the physical world. In this preregistered study, we collected fMRI responses while participants watched videos of agentive animated shapes depicting social interactions and compared neural responses to both computational models. Surprisingly, we found that both the GNN and inverse-planning model explained neural responses in pSTS and TPJ, even after controlling for variance explained by the other model. Exploratory analyses, however, revealed a shift from early perceptual processing towards later higher-order reasoning in both regions, suggesting a temporal rather than spatial hierarchy. Overall, this study provides the first evidence that both social perception and mentalizing regions carry out a combination of relational bottom-up and higher-level inferential computations, perhaps on distinct timescales. This work also provides the first comparison of an inverse-planning model to neural activity and demonstrates that theory-driven cognitive models can successfully predict fMRI responses to social scenes. Significance StatementThe ability to recognize social interactions between others is central to humans daily lives and engages brain regions supporting social perception and mental state inference. The neural computations underlying this ability, however, are poorly understood. Here we leveraged new models of bottom-up social perception and generative social inference to test the hypothesis that these complementary computations are carried out in separate brain regions. We compared both models to brain responses from subjects viewing procedurally generated videos of social interactions. Surprisingly, we found that both models explained neural activity in both perceptual and mentalizing regions, even when controlling for effects of the other model. These findings challenge the idea of a strict division of labor in the social brain and refine our understanding of the computations supporting human social inference.

animal behavior and cognition↗

bioRxiv2025

TUPAD: A Tn5-Mediated, Pre-amplification/Adapter-Dimer-Free Platform for Ultra-Uniform, One-Step PGT Profiling with High Stability and Broad Compatibility

High-throughput sequencing stands as a cornerstone of clinical molecular diagnostics, particularly in preimplantation genetic testing (PGT)--a key application where the selection of chromosomally normal embryos is critical to enhancing in vitro fertilization (IVF) success rates. A fundamental challenge inherent to PGT, however, lies in the ultra-low gDNA input (typically <100 pg) from embryo biopsies. To mitigate this limitation, traditional workflows rely on whole genome amplification (WGA) technologies, such as MDA, PicoPlex, and MALBAC. Yet these WGA-based protocols inherently entail pre-amplification of gDNA prior to standard library construction---a step that introduces significant coverage bias and compromised uniformity. These are intrinsic flaws irreparable by downstream library preparation or bioinformatics analysis, ultimately leading to clinical uncertainty in the interpretation of copy number variations (CNVs). In this study, we developed TUPAD (Tn5-Mediated, Uniform Pre-amplification-free and Adapter-Dimer-Free Library preparation), a transformative technology that bypasses the limitations of traditional WGA. By engineering a novel adapter-dimer-free transposon system, TUPAD enables high-efficiency library construction from as little as 1 picogram (pg) of gDNA. This breakthrough allows for a pre-amplification-free workflow, effectively eliminating the primary source of amplification bias. Compared to existing WGA standards, these advantages are fully retained in embryo biopsy and positive sample testing, TUPAD consistently generates highly uniform library data, significantly enhancing the detection limit and accuracy of CNVs and other genomic variants. Beyond these performance advantages, TUPAD also cuts wet-lab processing time by 50%. Practical validation confirms TUPAD results are stable, reliable, with proven practical utility in PGT testing.

molecular biology↗

bioRxiv2025

Polarization Increases Nuclear Stiffness in Macrophages Despite Reduction in Lamin A/C Levels

Macrophages are innate immune cells contributing to tissue homeostasis and various pathologies. Signals from their environment can lead macrophages to adapt distinct functional phenotypes, a process called polarization. Because macrophages have been previously shown to degrade the nuclear envelope proteins lamin A/C upon pro-inflammatory polarization, and lamins are considered key determinants of nuclear deformability, we aimed to address the effect of pro-inflammatory stimulation on nuclear mechanics. We present the surprising finding that polarized bone marrow-derived macrophages have less deformable nuclei than unpolarized macrophages, despite their reduced lamin A/C levels. Furthermore, pro-inflammatory macrophages exhibited altered chromatin dynamics relative to unpolarized macrophages, including redistribution of trimethylated histone H3K9 (H3K9me3) from the nuclear periphery to the interior and increased chromatin compaction. Our findings suggest a model in which pro-inflammatory stimulation of macrophages induces chromatin changes that drive nuclear stiffening, and that in these cells, chromatin, rather than the nuclear lamina, is the major driver for resisting nuclear deformation. These findings may have functional relevance for the physiological function of polarized macrophages, as the mechanical properties of the nucleus can influence how these cells adapt and respond to their environments in the context of cell migration or inflammatory disease pathologies.

cell biology↗

bioRxiv2025

Cross-species analysis of experimental PH at single cell resolution reveals prominent contributions Ednrb+ EC and Dhcr24+ macrophage populations

BackgroundAnimal models are used widely to study pulmonary hypertension (PH). The cell populations that respond to disease-inducing stimuli in these models and their relationship to human disease remain incompletely defined. Materials and methodThis study analyzed the relationship between several rodent models of PH and human disease at single-cell resolution. scRNA-seq was performed on lungs from mice exposed to hypoxia or Sugen/hypoxia, rats exposed to monocrotaline, and controls. A cross-species single-cell dataset was integrated with human lung cell atlas (HLCA) and single-cell dataset from idiopathic pulmonary arterial hypertension (IPAH) to identify overlapping cell subsets between experimental and human disease and species. ResultsHigh levels of overlap were found between species and models of PH, HLCA, and IPAH datasets. Cell subsets perturbed in rat and mouse PH were similar to those found in human disease, with macrophages and endothelial cells being most affected. A novel Dhcr24high macrophage subset harboring both tissue-remodeling and pro- inflammatory features was consistently increased across models. Several functionally diverse endothelial subtypes were found, including novel Ednrb+ and Nox2+ subpopulations, reflecting enhanced apoptosis, dysregulated angiogenesis and proliferation, and reactive oxygen species-mediated stress. These macrophage and endothelial subtypes expressed numerous PH drug target genes, and exhibited potential disease-specific intercellular interactions involving Angptl4, Cxcl12, and Sema3 signaling. Disease-associated changes in these populations were confirmed by immunofluorescence in lung tissues from animals and patients. ConclusionsWe established a comprehensive cross-species single-cell atlas of mainstream rodent PH models, highlighting several novel macrophage and endothelial subtypes and signaling motifs potentially contributing to human disease.

bioinformatics↗

bioRxiv2024

The phase separation landscape of genome-wide genetic perturbations

Biomolecular organization is central to cell function. While phase separation is a key mechanism orchestrating this organization, we lack a comprehensive view of genes that can globally influence this process in vivo. To identify such genes, we combined functional genomics and synthetic biology. We developed a bioorthogonal system that can identify changes in the intracellular milieu that globally tune phase separation. We measured in vivo phase diagrams of a synthetic system across >25 million cells in 2,888 yeast knockouts, and identified 68 genes whose deletion alters the phase boundaries of the synthetic system, an unexpected result given the systems bioorthogonal design. Genes involved in TORC1 signaling and metabolism, particularly carbohydrate-, amino acid- and nucleotide synthesis were enriched. The mutants that changed phase separation also showed high pleiotropy, suggesting that phase separation interrelates with many aspects of biology. Highlights- A synthetic protein system reveals the genetic and environmental tunability of protein phase separation - Genetic knockouts affecting phase separation are highly pleiotropic - Carbohydrate, amino acid, and nucleotide metabolism contribute to modulating phase separation potential - Protein phase separation is a globally tunable property of the intracellular environment O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/620319v1_ufig1.gif" ALT="Figure 1"> View larger version (81K): org.highwire.dtl.DTLVardef@4b8403org.highwire.dtl.DTLVardef@1c80503org.highwire.dtl.DTLVardef@c10bf2org.highwire.dtl.DTLVardef@1f76c71_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2023

Mesoscale molecular assembly is favored by the active, crowded cytoplasm

The mesoscale organization of molecules into membraneless biomolecular condensates is emerging as a key mechanism of rapid spatiotemporal control in cells1. Principles of biomolecular condensation have been revealed through in vitro reconstitution2. However, intracellular environments are much more complex than test-tube environments: They are viscoelastic, highly crowded at the mesoscale, and are far from thermodynamic equilibrium due to the constant action of energy-consuming processes3. We developed synDrops, a synthetic phase separation system, to study how the cellular environment affects condensate formation. Three key features enable physical analysis: synDrops are inducible, bioorthogonal, and have well-defined geometry. This design allows kinetic analysis of synDrop assembly and facilitates computational simulation of the process. We compared experiments and simulations to determine that macromolecular crowding promotes condensate nucleation but inhibits droplet growth through coalescence. ATP-dependent cellular activities help overcome the frustration of growth. In particular, actomyosin dynamics potentiate droplet growth by reducing confinement and elasticity in the mammalian cytoplasm, thereby enabling synDrop coarsening. Our results demonstrate that mesoscale molecular assembly is favored by the combined effects of crowding and active matter in the cytoplasm. These results move toward a better predictive understanding of condensate formation in vivo.

biophysics↗

bioRxiv2021

Synthetic Condensed-Phase Signaling Expands Kinase Specificity and Responds to Macromolecular Crowding

Liquid-liquid phase separation (LLPS) can concentrate biomolecules and accelerate reactions within membraneless organelles. For example, the nucleolus and PML-nuclear bodies are thought to create network hubs by bringing signaling molecules such as kinases and substrates together. However, the mechanisms and principles connecting mesoscale organization to signaling dynamics are difficult to dissect due to the pleiotropic effects associated with disrupting endogenous condensates. Here, we recruited multiple distinct kinases and substrates into synthetic LLPS systems to create new phosphorylation reactions within condensates, and generally found increased activity and broadened specificity. Dynamic phosphorylation within condensates could drive cell-cycle-dependent localization changes. Detailed comparison of phosphorylation of clients with varying recruitment valency and affinity into condensates comprised of either flexible or rigid scaffolds revealed unexpected principles. First, high client concentration within condensates is important, but is not the main factor for efficient multi-site phosphorylation. Rather, the availability of a large number of excess client binding sites, together with a flexible scaffold is crucial. Finally, phosphorylation within a suboptimal, flexible condensate was modulated by changes in macromolecular crowding. Thus, condensates readily generate new signaling connections and can create sensors that respond to perturbations to the biophysical properties of the cytoplasm.

synthetic biology↗

bioRxiv2021

nucGEMs probe the biophysical properties of the nucleoplasm

The cell interior is highly crowded and far from thermodynamic equilibrium. This environment can dramatically impact molecular motion and assembly, and therefore influence subcellular organization and biochemical reaction rates. These effects depend strongly on length-scale, with the least information available at the important mesoscale (10-100 nanometers), which corresponds to the size of crucial regulatory molecules such as RNA polymerase II. It has been challenging to study the mesoscale physical properties of the nucleoplasm because previous methods were labor-intensive and perturbative. Here, we report nuclear Genetically Encoded Multimeric nanoparticles (nucGEMs). Introduction of a single gene leads to continuous production and assembly of protein-based bright fluorescent nanoparticles of 40 nm diameter. We implemented nucGEMs in budding and fission yeast and in mammalian cell lines. We found differences in particle motility between the nucleus and the cytosol at the mesoscale, that mitotic chromosome condensation ejects nucGEMs from the nucleus, and that nucGEMs are excluded from heterochromatin and the nucleolus. nucGEMs enable hundreds of nuclear rheology experiments per hour, and allow evolutionary comparison of the physical properties of the cytosol and nucleoplasm.

biophysics↗

bioRxiv2020

Integrative Analysis of Phenomic, Genomic, and Transcriptomic to Identify Potential Functional Genes of Yaks in Plain and Plateau

BackgroundThe yak is an important source of livelihood for the people living in the Qinghai-Tibet Plateau. Most genetics detection studies have focused on the comparison between different tissues of different breeds, both living in the Plateau and in the plains. The genetic background and complex regulatory relationship have frequently puzzled researchers. In this study, we divided a population of 10 yaks into two subgroups, namely Plateau (living in the Plateau) and Plain (living in the plains). Phenomic, genomic, and transcriptomic analyses were used to reveal the molecular genetic type in the body weight, slaughter, and beef quality of yaks. ResultsWe found a significant difference (P <0.01) between the third (60 days), fourth (90 days), fifth (120 days), and sixth (150 days) weights of Plateau and plain subpopulations. The difference in body weight was due to differences in kidney weight, meat weight, fur weight, and head weight. However, the beef quality was not significantly different. We identified 540 Differentially Expressed Genes (DEGs). Using weighted gene co-expression network analysis (WGCNA), we have constructed a co-express network, and the modules were strongly related to traits. In the genome-wide association studies (GWAS), we detected significant 156, 52, 33, 15, and 3 signals in the meat weight, head weight, fur weight, liver weight, and the last body weight traits. Based on the epigenome-wide association studies (eWAS) results, we created a link relationship between the DEGs expression level and genotype. ConclusionIn summary, our study demonstrated the effectiveness and representative of multidimensional data from a finite number of yak populations. The study highlights the underlying way, as well as a related network, to yield new information on genome genetics and pathogen-host interactions of both the living Plateau and plain yak populations.

genomics↗

bioRxiv2020

Munc13 binds and recruits SNAP25 to chaperone SNARE complex assembly

Synaptic vesicle fusion is mediated by membrane-bridging complexes formed by SNARE proteins - VAMP2 on the vesicle and Syntaxin-1/SNAP25 on the pre-synaptic membrane. Accumulating evidence suggest that chaperones Munc18-1 and Munc13-1 co-operatively catalyze SNARE assembly via an intermediate template complex containing Syntaxin-1 and VAMP2. How SNAP25 is chaperoned into this nascent complex remains a mystery. Here we report that Munc13-1 recruits SNAP25 to initiate the ternary SNARE complex assembly by direct binding, as judged by bulk FRET spectroscopy and single-molecule optical tweezer studies. Detailed structure-function analyses show that the binding is mediated by the Munc13-1 MUN domain and is specific for the SNAP25 linker region that connects the two SNARE motifs. Consequently, freely diffusing SNAP25 molecules on phospholipid bilayers are concentrated and presumably bound in ~1:1 stoichiometry by the self-assembled Munc13-1 nanoclusters. Our data suggests that Munc13-1s capacity to bind all three synaptic SNARE proteins likely underlie its chaperone function.

neuroscience↗