Biology subjects

Shi, J.

Publications and source records attributed to Shi, J..

At least 19 recordsLinked to original sources

bioRxiv2026

CellMethMarker provides an integrated database of human cell- and tissue-type-specific DNA methylation markers

Cell- and tissue-type-specific DNA methylation markers provide epigenetic signatures of cellular identity and are widely used to infer cellular origin from bulk and single-cell methylomes. Existing resources mainly emphasize disease-associated biomarkers, methylome atlases, genomic annotations or RNA-based cell markers, leaving an unmet need for an integrated region-level resource dedicated to such markers. Here we present CellMethMarker (http://gu-zhanglab.hfcas.ac.cn/CellMethMarker), a curated database integrating 347,514 de novo markers derived from uniformly processed whole-genome and reduced-representation bisulfite sequencing datasets, 2,203,507 literature-derived marker records and harmonized metadata for 2,810 samples. CellMethMarker enables cell- and tissue-centered marker retrieval, coordinate-based search, genome-browser visualization, interactive methylation analysis and data download. In an independent single-cell methylome atlas, these markers recover the expected cell-type-associated methylation patterns, and a platform-matched reference built from them lowers the mean deconvolution error from 0.365 to 0.144. CellMethMarker therefore links region-level DNA methylation variation to cellular identity and supports methylome-based cell-type annotation and deconvolution.

bioinformatics↗

bioRxiv2026

Xenograft supervision and joint methylation-fragment-end encoding define a reusable molecular scoring layer for cell-free tumor DNA

Circulating tumor DNA is often scarce in plasma, and regional methylation summaries can obscure informative differences between individual molecules. Here we present ctDNA-BERT, a Transformer that scores individual bisulfite reads without predefined differentially methylated regions by jointly encoding CpG methylation state, nucleotide context and the fragment 3' end. Xenografts provide molecule-level tumor supervision. The resulting frozen scorer supported tumor-fraction estimation in synthetic and patient-derived xenograft mixtures and enriched tumor-concordant methylation and chromatin-accessibility signals in independent hepatocellular carcinoma and stage III pan-cancer plasma without cohort-specific retraining. Features derived from selected reads discriminated stage I cancers from healthy controls in a retrospective cohort of 1,477 specimens, achieving an out-of-fold area under the receiver operating characteristic curve of 0.884. By separating molecular scoring from sample-level inference, ctDNA-BERT provides a reusable read-level scoring layer for cell-free DNA methylation analysis.

bioinformatics↗

bioRxiv2026

Dipteran wing damage discriminates between flight motor inertial-elastic distributions

Insects frequently experience irreversible wing damage, yet many maintain flight by adjusting their wingbeat. In Diptera, wingbeat frequency generally increases as wing inertia is lost, but considerably less than predicted by classical models of the flight motor. In this work, we use an inverse-problem approach to identify passive mechanical features of the dipteran flight motor that explain this discrepancy and reproduce experimentally-observed frequency scaling. Combining spatially resolved reconstruction of wing inertia and motor elasticity, finite-element analysis of thoracic deformation, and data-driven viscoelastic models of asynchronous flight muscle, we identify that a compounding interaction between wing root flexion, wing aerodynamics, and muscular viscoelasticity explain the depressed scaling of wingbeat frequency with loss of inertia. Wing inertia is strongly non-uniform and dominated by the vein structure, leading to further depression with respect to loss of area. But, by contrast, thoracic effective inertia is negligible across a wide array of Dipterans and does not contribute to damage-related scaling. Together these results indicate that much of the dipteran flight motor's responses to wing damage can emerge passively from interactions between the wing, thorax, and muscles; and suggest that a hybrid-elastic architecture with a compliant wing root may be widespread across Diptera. More broadly, we identify wing damage as a tool that can quantitatively discriminate between different candidate models of the insect flight motor, and suggest that altered motor operating conditions can identify mechanical properties difficult to infer from intact flight alone.

zoology↗

bioRxiv2026

Pharmacological Effects and Candidate Bioactive Constituents of Huanglian Wendan Decoction in Experimental Metabolic Syndrome: Multi-Omics Analysis of Gut-Liver Metabolism and NLRP3 Signaling

Background: Chronic low-grade inflammation and gut microbiota dysbiosis contribute to metabolic syndrome (MS). Huanglian Wendan Decoction (HLWDD) is a defined multi-herbal formulation used in Chinese medicine, but its effects on gut microbiota-associated metabolism and NLRP3 inflammasome signaling remain unclear. Objective: This study evaluated the pharmacological effects and candidate absorbed bioactive constituents of HLWDD in experimental MS. Methods: A high-fat, high-sugar diet-induced rat model of MS was assessed using metabolic, biochemical, histological, molecular, and multi-omics endpoints. Gut metagenomics, untargeted metabolomics of liver and colonic contents, liver transcriptomics, and UPLC-HRMS/MS analysis of serum-absorbed constituents were integrated with network pharmacology and molecular docking. Baicalin was further evaluated in PA-BSA-treated HepG2 cells. Results: HLWDD ameliorated obesity, dyslipidemia, hepatic steatosis, and systemic inflammation and attenuated NLRP3 inflammasome-related signaling. Multi-omics analysis identified nine shared differential metabolites and a strong positive association between Faecalibacterium and butyrate. Thirty-two serum-absorbed constituents were tentatively identified. Baicalin showed favorable predicted interactions with NLRP3 (-5.82 kcal/mol) and CASP1 (-5.41 kcal/mol) and concentration-dependently suppressed NLRP3 inflammasome-related signaling in HepG2 cells; the highest concentration increased intracellular butyrate. Conclusion: HLWDD ameliorated metabolic and inflammatory abnormalities in experimental MS in association with restoration of gut-liver metabolic homeostasis and attenuation of NLRP3 inflammasome signaling. Baicalin emerged as a candidate absorbed bioactive constituent.

systems biology↗

bioRxiv2026

Designing enzymes for new-to-nature chemistry and non-natural substrates with AlphaProtein Novo

Creating highly active enzymes for arbitrary reactions is a transformative goal for the molecular sciences (1). Traditional protein engineering (2,3) is constrained by a reliance on existing natural starting points, which are often challenging to discover. De novo design offers the potential to overcome this by creating enzymes from first principles (4), but has yet to achieve practically relevant catalytic properties. Here we present AlphaProtein Novo (AP Novo), a machine-learning pipeline that demonstrates, for the first time, that de novo enzyme design can outperform natural sequence mining in addressing challenging chemistry. We used AP Novo to design new-to-nature nitrene transferases to synthesise the pharmacophore piperidine with unprecedented product selectivity, and to create enzymes that degrade the environmental toxin DEHP under conditions that denature natural enzymes. We also obtained state-of-the-art catalytic efficiencies on two well-studied model reactions, and through iterative design and analysis found that key enablers of success were mechanism-inspired metrics based on AlphaFold 3 predictions and sequence-ensemble-based scoring of designed backbones. Our results show that de novo design has become a powerful complement to natural enzyme diversity for discovering catalysts for a range of applications.

synthetic biology↗

bioRxiv2026

LSD-pipeline: Causal Inference of miRNA Network Effects in Alzheimer's Disease

MicroRNAs (miRNAs) are implicated in Alzheimer's disease (AD), but research has focused on individual miRNAs and direct targets. Existing approaches to miRNA regulation in AD identify associations rather than causal effects, and few methods estimate multi-stage chains from miRNAs through target genes to target transcription factor (TF) cascades. We developed the LSD pipeline (LASSO-SEM-DoWhy), integrating LASSO feature selection, multi-stage structural equation modeling, and DoWhy causal inference to identify and validate miRNA causal pathways in AD. Applying LSD to six blood miRNA and brain mRNA datasets, we identified four LSD-validated miRNAs (miR-30d-5p, miR-92a-3p, miR-296-5p, miR-193a-5p) as AD biomarkers, achieving >86% ROC accuracy in an independent validation cohort. Several miRNAs with no significant direct association with AD showed significant effects when estimated through their target networks, while others significant in direct analysis were not supported at the network level, underscoring the value of network-level analysis. Extending to the TF layer revealed complete miRNA [->] targets [->] TF cascades [->] AD causal chains, with HMGA1, NKX2-3, and PRRX2 as key intermediaries. Confirmed classic pathways converge primarily on tau pathology and synaptic dysfunction. miRNA effects were largely age-independent, suggesting miRNAs act as early initiators of AD pathogenesis. Beyond AD, the LSD pipeline provides a generalizable framework for uncovering causal regulatory mechanisms in other diseases.

systems biology↗

bioRxiv2026

An accumbal cholinergic ISR-HCN2 axis sustains maladaptive cue motivation

Environmental cues associated with rewarding outcomes can exert persistent control over behavior long after the reward is absent, yet the cellular adaptations that stabilize such maladaptive motivation remain unclear. Here we identify nucleus accumbens cholinergic interneurons (CINs) as causal regulators of persistent cue-driven seeking. Self-administration of addictive drugs or high-fat reward, but not sucrose, selectively increased CIN pacemaker firing. Cocaine-paired cues evoked rapid acetylcholine release in the nucleus accumbens core, and bidirectional manipulation of CINs suppressed or enhanced cue-induced cocaine seeking. Mechanistically, cocaine experience engaged the integrated stress response (ISR) in CINs, increased HCN2 expression and Ih, and stabilized a hyperexcitable state. CIN-specific ISR suppression or HCN2 knockdown reduced cocaine seeking, whereas HCN2 overexpression enhanced it. Local HCN blockade and systemic treatment with the clinically approved HCN blocker ivabradine reduced cue-driven seeking across addictive-drug and high-fat-reward paradigms while sparing sucrose seeking. These findings identify an ISR-HCN2-dependent cholinergic mechanism that stabilizes maladaptive cue-driven motivation and nominate HCN-dependent excitability as a tractable target for therapeutic intervention.

neuroscience↗

bioRxiv2026

LNA043 and ANGPTL3 Interactions with Integrin α5β1 and Fibronectin Drive Distinct Stromal and Immune Responses

Osteoarthritis (OA) is characterized by cartilage breakdown, extracellular matrix remodeling, and synovial inflammation. Dysregulated integrin 5{beta}1 signaling and fibronectin fragmentation are key drivers of OA progression. We found that in ihMSC, LNA043, Full length ANGPTL3 (FL-ANGPTL3, and C-terminal fibronogen-tlike domain of ANGPTL3 (C-ANGPTL3) interacted with both integrin 5{beta}1 and fibronectin, consistent with a multivalent binding mode supported by AlphaFold based structural predictions. FL-ANGPTL3 supported ihMSC adhesion and induced human monocyte migration, with both effects being dependent on integrin {beta}1. C-ANGPTL3 alone was sufficient to mediate these effects, although with reduced efficacy compared to the full-length protein. In contrast, LNA043 did not support ihMSC adhesion but retained integrin {beta}1-dependent monocyte migratory activity, defining a more selective functional profile and indicating that further truncation modulates downstream responses without abolishing integrin engagement. To further explore the biology of ANGPTL3 and the mechanism of action of LNA043 we employed a targeted RASL Seq profiling. We found that both FL- and C-ANGPTL3, but not LNA043, induced broad transcriptional reprogramming and counter regulated fibronectin fragment-driven inflammatory signaling in monocytes. We uncovered a role for ANGPTL3 in fibronectin-integrin 5{beta}1 signaling and showed that LNA043 preserves this interaction while uncoupling it from strong immune responses.

cell biology↗

bioRxiv2026

TEDDY: An integrative workflow for TE-chimeric isoform reconstruction and systematic characterization of TE-dependent transcriptional regulation

Transposable elements (TEs) substantially expand transcriptional regulation and complexity. Despite advances in sequencing technologies, the systematic interrogation of TE-dependent transcripts across diverse samples and platforms remains limited. Here we introduce TEDDY, a computational workflow for large-scale reconstruction, quantification and regulatory inference of TE-dependent isoforms. Using TEDDY, we resolved the landscape of TE-dependent isoforms in mammalian preimplantation development, revealing a conserved pattern of stage-specific isoform generation via species-specific TE exonization. We reconstruct a TE-dependent regulatory network underlying pluripotent-to-totipotent transition wherein key transcription factors are driven by TE-derived promoters and validated experimentally. Within this network, Arid3a, a novel regulator nominated by TEDDY, was functionally validated as essential for totipotency establishment and early development. Further application of TEDDY to hepatocellular carcinoma identified recurrence-associated prognostic isoforms, underscoring their clinical relevance. Benchmarking establishes TEDDY's accuracy and efficiency with unique capabilities in full-length isoform recovery, cross-sample and -platform analysis, visualization, and TF-TE-gene network reconstruction, making TEDDY applicable across diverse biological contexts.

genomics↗

bioRxiv2026

Pto evolved from malectin-like RLKs phosphorylates AvrPtoB to promote Prf-mediated immunity in Solanum pimpinellifolium

Bacterial speck, caused by Pseudomonas syringae pv. tomato (Pst), is a devastating disease of tomato that severely limits global tomato productivity. Understanding the molecular mechanisms underlying Pst and tomato is essential for developing disease resistant varieties. Here, we demonstrate that Pto, the first disease-resistance gene conferring recognition of a specific pathogen, phosphorylates Pst type III effector AvrPtoB at serine 335 site. This post-translational modification triggers the dissociation of the Prf immune complex, enhancing immune signaling and reducing bacterial pathogenicity. Furthermore, evolutionary analyses indicate that Pto-associated proteins originated from malectin-like receptor kinases (MLRs) through loss of the extracellular domain. Crucially, we identified two key amino acid substitutions, Arg158 and Glu258 in Pto, which replace the ancestral lysine residues in MLRs (SpHREK1-1, SpHERK1-2 and SpHERK1-3). These substitutions stabilize Pto by preventing degradation mediated by AvrPtoB's E3 ubiquitin ligase activity. Our findings reveal a novel mechanism, by which Pto phosphorylates a bacterial effector to trigger enhanced immunity and elucidate the key evolutionary adaptations that have shaped Pto into a stable resistance protein.

plant biology↗

bioRxiv2026

Patterns and environmental drivers of amphibian alpha and beta diversity in the Huangshan Mountains, southern Anhui, China

Understanding the spatial patterns of biodiversity and their environmental determinants is fundamental to ecology and conservation, particularly in mountainous transitional zones where species assemblages can shift rapidly. Amphibians, as highly sensitive organisms, are excellent indicators of environmental change, yet quantitative assessments of their diversity in the Huangshan Mountains-a biodiversity hotspot at the junction of the Palaearctic and Oriental realms in southern Anhui, China-remain limited. We conducted systematic line-transect surveys across 200 grids (5 km x 5 km) during the spring and autumn of 2023 and 2024, recording a total of 10,342 individuals belonging to 23 species, 20 genera, 9 families, and 2 orders. Three species (Fejervarya multistriata, Microhyla fissipes, and Bufo gargarizans) were identified as dominant, and two nationally protected species (Hoplobatrachus chinensis and Andrias davidianus) were detected. Inter-annual alpha diversity did not differ significantly, but pronounced seasonal variation was observed, with spring supporting higher Shannon-Wiener and Pielou evenness than autumn in both years. Using generalized additive models and model averaging, we found that annual precipitation and the normalized difference vegetation index (NDVI) were consistently the strongest positive predictors of Shannon-Wiener diversity, Simpson dominance, and species richness, while species richness also declined significantly with increasing human footprint. Total beta diversity (Soerensen dissimilarity) was very high (0.981) and overwhelmingly driven by species turnover (97.86%) rather than nestedness. Partial Mantel tests and distance-based redundancy analysis further revealed that environmental distances-particularly annual precipitation-significantly shaped overall beta diversity and its turnover component after accounting for geographic distance. These results highlight the predominant role of climatic and vegetation gradients in structuring amphibian assemblages in this subtropical mountainous region, providing baseline data to inform local conservation strategies.

ecology↗

bioRxiv2026

Comprehensive analysis of mulberry genetic diversity based on 1-DNJ content and SNP markers

Mulberry trees have high economic and ecological value, and a robust molecular marker system plus germplasm genetic diversity analysis is critical for innovative utilization of high-quality medicinal and economic mulberry germplasm. Here, 51 mulberry samples were used to develop SNP primers via genome resequencing, with the SNP-PCR system optimized by single-factor and orthogonal assays. The phenotypic diversity and SNP molecular marker genetic diversity of 1-deoxynojirimycin (1-DNJ) in mulberry leaves were analyzed respectively, and the genetic correlation between molecular markers and phenotypic traits was evaluated by Mantel test. Tested germplasm showed marked 1-DNJ variation (0.4805-2.5300 mg/g, CV=0.4241), reflecting rich genetic diversity. The optimal SNP-PCR system included Buffer (containing Mg{superscript 2}+) 2.2 L, 2.5 mM dNTP 0.4 L, forward and reverse primers (10 mol{middle dot}L-1) totaling 2.75 L, Taq DNA polymerase (5 U{middle dot}L-1) 0.3 L, DNA (50 ng{middle dot}L-1) 1.1 L, and ddH2O 13.65 L. 23 highly polymorphic ones amplified 91 loci (81 polymorphic, 89.10% polymorphism rate). Genetic diversity analysis showed that the average genetic distance was 0.3010, and the average expected heterozygosity (H) and Shannon information index (I) reached 0.4667 and 0.3104 respectively, indicating that the genetic differentiation among the tested mulberry germplasms was significant and the population had a moderate to upper level of genetic diversity. UPGMA clustering divided 51 germplasms into 6 major groups at a genetic similarity coefficient of about 0.7, while phenotypic clustering based on 1-DNJ content divided them into 2 major categories and 4 subcategories, with high 1-DNJ germplasm clustered independently. Mantel correlation analysis showed that 6 SNP sites were significantly weakly correlated with 1-DNJ content (r < 0.3, p < 0.05), and can be used as candidate molecular markers for subsequent genetic analysis of 1-DNJ content.This study established a stable mulberry SNP-PCR system, Analyze the molecular genetic characteristics of mulberry germplasm and DNJ phenotypic variation rules respectively, and provide basic data for cluster comparison. and provided a scientific basis for marker database improvement, germplasm identification and molecular-assisted breeding.

genetics↗

bioRxiv2026

Cross-Species Comparison of Topologically Associating Domains (TADs) in Cereals Reveals Their Role in Genome Stability During Evolution

Topologically associating domains (TADs) are essential structural and functional modules of the genome that play a crucial role in regulating gene expression. In this study, we systematically investigated the conservation and evolution of TADs in five closely related crops, including maize, sorghum, coix, foxtail millet and broomcorn millet. Our results show that 74% of TAD boundaries are conserved between two inbred maize lines, B73 and Mo17, and that approximately 50% or more of TAD boundaries are conserved across different crop species. TAD number remains relatively stable in the face of changes in genome size. However, the length of TADs varies depending on genome size. Furthermore, we found that large-scale transposable element expansion leads to TAD expansion, while chromosomal inversions lead to TAD fusion and the formation of new TAD boundaries. Frequent chromatin interactions between subgenome chromosomes occur after whole-genome duplication. Moreover, we also found that crossovers are enriched at TAD boundaries in maize, indicating the importance of TADs as a fundamental unit during species evolution. Overall, our study provides insights into the conservation and evolution of TADs in crop genomes and their roles in genome organization and function.

plant biology↗

bioRxiv2026

Aging-associated regulatory B-like cells establish a lung-selective immunosuppressive niche to promote pulmonary metastasis

While aging is the primary risk factor for cancer development and a critical driver of metastasis, yet how aging selectively remodels specific distant organs to favor tumor colonization remains unclear. Here, we demonstrate that host aging selectively enhances susceptibility to lung metastasis in an inflammation-dependent manner, without uniformly affecting other organs. Single-cell RNA sequencing reveals that the aged lung accumulates PD-L1CTLA-4IgMIgD- regulatory B (Breg)-like cells, representing the immune population most amplified by the cooperative effects of aging and tumor burden. Trajectory analysis delineates their differentiation from naive B cells, driven by Il10, Ctla4, Cd274, and Egr1 upregulation. This program is evolutionarily conserved, increasing progressively with human chronological lung age. Mechanistically, aged CD140a adventitial fibroblasts drive CXCL13-dependent B-cell reprogramming into a senescent state. These Breg-like cells directly impair natural killer cell cytotoxicity and CD4 T-cell responses, accelerating pulmonary colonization. Our findings reveal a targetable, lung-specific age-associated stromal-immune axis driving metastatic organotropism.

immunology↗

bioRxiv2026

PanSVmerger: a flexible pipeline for merging multiallelic structural variants in pangenome graphs

SummaryPangenome graphs capture extensive genetic diversity but introduce analytical challenges due to the redundant representation of structural variations (SVs). While existing tools effectively address cross-sample redundancy or cross-locus redundancy, none specifically target the intra-locus allelic redundancy inherent to pangenome graphs. Here, we present PanSVmerger, an open-source tool designed to consolidate redundant multiallelic SVs within individual loci using three complementary clustering strategies: adaptive k-mer-based Jaccard distance, global alignment distance via VSEARCH, and length distribution. Validation on HPRC pangenome data demonstrates that PanSVmerger effectively reduces multiallelic complexity (e.g., AC [≥] 3 loci from 62.4% to 4.7% using Strategy A) with a modest trade-off: Recall decreased from 97.13% to 93.58%, while precision improved from 94.95% to 96.56%, yielding an overall F1-score of 95.05%. These results demonstrate that PanSVmerger effectively consolidates redundant allele representations with only a minimal loss of sensitivity, making it well-suited for downstream applications that require clean, non-redundant variants. Availability and implementationPanSVmerger is implemented in Python 3.8+ and freely available under the MIT license at GitHub: https://github.com/tingting100/PanSVmerger. The software requires vcflib, bcftools, and optionally VSEARCH. Comprehensive documentation and tutorials are provided.

bioinformatics↗

bioRxiv2026

PlantAI: A Multi-Agent System for Plant Functional Genomics Analysis and Biological Knowledge Interpretation

Plant functional genomics requires the integration of sequence, expression, evolutionary, regulatory and literature evidence. However, the corresponding analyses are often distributed across disparate programs, scripts and databases, creating substantial barriers to task organization and result interpretation. Here, we present PlantAI, a multi-agent system that integrates bioinformatics analysis, project-level process tracking and knowledge-assisted interpretation. A Main Agent coordinates two complementary routes: an analysis route that invokes bioinformatics tools for RNA-seq and gene-family analyses, and a knowledge route that uses PlantAI-RAG for knowledge retrieval and evidence synthesis. PlantAI-RAG currently contains 31,207 plant-science literature records, comprising approximately 3.82 million normalized entities and 8.25 million literature-supported relation assertions. In an evaluation using plant-science questions, it achieved a Gold evidence-assertion recall of 86.7%, while strict accuracy ranged from 77% to 82% across three independent evaluator models. We further demonstrate an end-to-end task using 24 rice RNA-seq libraries collected under salt stress, spanning transcriptome analysis, candidate-family screening, HXK/HKL family analysis and knowledge-assisted interpretation, and prioritize OsHXK8 for experimental validation. By preserving analysis artifacts, run manifests, logs and environment records, PlantAI supports result verification and repeat execution while linking project-derived results to traceable literature evidence. Together, these capabilities provide an integrated and auditable framework to support plant functional genomics research.

bioinformatics↗

bioRxiv2026

Adenine nucleotide translocase 2 (ANT2) deficiency reprograms ferroptosis in alveolar progenitor cells to promote emphysema

Stem cell dysfunction and loss of renewal capacity are primary characteristics of tissue aging and decremental regeneration in response to injury. Alveolar type 2 cells (AT2) are key progenitor cells responsible for lung repair and are thought to be dysfunctional in diseases such as chronic obstructive pulmonary disease (COPD). AT2 cells are highly metabolic and rely on mitochondria, but how mitochondrial mechanisms influence their maintenance and cell fate is unclear. This gap is critical as no current therapies target lung repair or mitochondrial function in COPD. Here, we report that adenine nucleotide translocase 2 (ANT2), a key ATP/ADP transporter, is reduced in AT2 cells from COPD lungs, and that ANT2 loss impairs bioenergetics (ATP). We also identify, for the first time, ferroptotic susceptibility as a consequence of ANT2 loss in AT2 cells, leading to impaired self-renewal and progenitor capacity in alveolar organoids. Together, loss of ANT2 and the associated cellular dysfunction resulted in worsened lung damage or emphysema due to cigarette smoke in mice. Therapeutic restoration of ANT2 expression resulted in renewed AT2 stem cell function and prevention of emphysema by reducing oxidative stress and ferroptosis. These findings highlight the importance of ANT2 in metabolic regulation, plasticity, and cell resiliency of AT2 cells in the lung and that ANT2 is a potential target for lung repair. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=114 SRC="FIGDIR/small/737954v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@7193bborg.highwire.dtl.DTLVardef@9a0446org.highwire.dtl.DTLVardef@18e9f5corg.highwire.dtl.DTLVardef@805a05_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2026

Non-contact direct sensing of material properties of biomolecular condensate using Scanning Ionic Conductance Microscopy

Biomolecular condensates are important regulators of cellular compartmentalization and biochemical processes. Understanding their material properties is critical to elucidate how they control molecular organization and dynamics within cells. However, quantitatively probing these properties remains challenging due to the wide range of length scales, concentrations, and timescales over which condensates operate, as well as the limited force ranges accessible to current nanoscale mechanical mapping methods. We explored the use of a non-contact 3D imaging tool Scanning Ion Conductance Microscopy (SICM) for stiffness measurements of liquid-liquid phase-separated biomolecular condensates. We focus on the Dhh1 protein, which is a regulator of cytoplasmic processing bodies (PBs) membrane-less cytoplasmic condensates that control the storage and degradation of untranslated mRNA. In our study, we investigate the properties of mCherry2- or His-mCherry2-tagged full-length Dhh1 and N- or C-terminus tail-deletion constructs, as well as the catalytically inactive mutant DQAD, under different pH and incubation times. We mapped both spatial and temporal changes in the material properties of the condensates, highlighting the capabilities of the instrument. We found that the removal of either of the two tails led to an increase in condensate stiffness upon shifting the pH from a stress-associated cellular environment (pH 6.5) to physiological conditions (pH 7.5). Additionally, the choice of protein tags led to vastly different results depending on the pH where mCherry2-Dhh1 exhibited a stiffening going from pH 6.0 to 6.5 while the double-tagged His-mCherry2 did not. Our measurements are verified and corroborated by established techniques such as optical tweezer-based fusion assays and fluorescence recovery after photobleaching (FRAP). Furthermore, we were able to track the same biomolecular condensate sample for up to 20 days getting insights on the ageing and evolution of the condensates. Overall, our study demonstrates the applicability of SICM for direct measurement of the material properties of biomolecular condensate.

biophysics↗