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Results for “Cell Biology”

Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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bioRxiv2026

Unifying the genetic landscape of common and rare diseases via latent neighborhoods

Resolving disease mechanisms and identifying safer drug targets remains challenging due to difficulties in integrating inconsistent sources of genetic evidence. Here, we developed a deep-learning (DL) method for obtaining latent representations of human diseases and other terms by coupling a variational autoencoder (VAE) to network embeddings from graph representation learning on a protein interaction network. We apply this approach to map the landscape of human disease, by systematically integrating evidence for [~]42,000 traits and terms from sources such as clinical reports (ClinVar), genome-wide association studies (GWAS), mouse phenotypes and gene ontology. Similar diseases share their latent neighborhoods with the sources of evidence highlighting different aspects of the same cell biology for its role in disease. By decoding latent neighborhoods, we unify the sources of evidence and integrate across diseases to prioritize genes for common and rare diseases. Through examples for diabetes, hearing loss, and familial long QT syndrome, we illustrate how the methodology can be applied to develop hypotheses for disease mechanisms and to propose experimental models, measurements, targets and potential drugs that may improve diagnosis and treatments.

genetics↗

bioRxiv2026

Control of motility and cell shape of Haloferax volcanii is linked by a transcriptional regulator

Archaea rely on motility and morphological plasticity to navigate their environments, yet the transcriptional regulation of these processes remains poorly understood. In Haloferax volcanii, archaellum-dependent motility is transcriptionally regulated, but an EarA-like master regulator is absent. Here, we identify CsmR as a transcriptional regulator that links archaellum biogenesis and cell-shape transitions in H. volcanii. Deletion of csmR abolished detectable motility, whereas overexpression increased motility and promoted a sustained rod-like morphology. Comparative transcriptomics defined a CsmR-associated regulon that includes archaellum and chemotaxis genes as well as rod-shape determinants (e.g., Sph3 and RdfA), and upstream motif enrichment supports a direct role for CsmR in transcriptional control. Furthermore, csmR and cirA, a KaiC-like regulator, share extensive transcriptional overlap, with CirA likely fine-tuning CsmR-mediated regulation through post-translational modification. These findings establish CsmR as a key integrator of motility and cell shape regulation in Haloferax volcanii, suggesting that haloarchaea coordinate these fundamental processes through an unidentified transcriptional network. Moreover, Northern blotting and cell shape observation suggest that transcription factor RosR is involved in the regulation of an sRNA that shares extensive overlap with the cirA gene, possibly fine-tuning the effect of CirA on the regulation of the archaellum cluster and the rod shape determinants sph3 and rdfA. Understanding this interplay provides new insights into archaeal adaptability and may reveal broader regulatory principles in prokaryotic cell biology.

microbiology↗

bioRxiv2026

Whole-Brain Co-Mapping of Gene Expression and NeuronalActivity at Cellular Resolution in Behaving Zebrafish

The brains capabilities rely on both the molecular properties of individual cells and their interactions across brain-wide networks. However, relating gene expression to activity in individual neurons across the entire brain remains elusive. Here we developed an experimental-computational platform, WARP, for whole-brain imaging of neuronal activity during behavior, expansion-assisted spatial transcriptomics, and cellular-level registration of these two modalities. Through joint analysis of whole-brain neuronal activity during multiple behaviors, cellular gene expression, and anatomy, we identified functions of molecularly defined populations--including luminance coding in a cckb-pou4f2 midbrain population and task-structured activity in pvalb7-eomesa hippocampal-like neurons--and defined over 2,000 other function-gene-anatomy subpopulations. Analysis of this unprecedented multimodal dataset also revealed that most gene-matched neurons showed stronger activity correlations, highlighting a brain-wide role for gene expression in functional organization. WARP establishes a foundational platform and open-access dataset for cross-experiment discovery, high-throughput function-to-gene mapping, unification of cell biology and systems neuroscience, and scalable circuit modeling at the whole-brain scale.

neuroscience↗

bioRxiv2026

Single-cell analysis of sterol-induced Ca2+ signaling in human astrocytes by dynamic mode decomposition

Ca2+ signaling in astrocytes is a central mechanism of intercellular communication in the brain and plays a key role in regulating neuronal excitability, synaptic plasticity, and energy metabolism. Disruption of astrocytic Ca2+ dynamics is a characteristic of neurodegenerative diseases, as are deviations in cholesterol trafficking and metabolism, which are essential for maintaining membrane structure and function. Although recent studies have begun to explore links between Ca2+ signaling and sterol homeostasis in astrocytes, unbiased analytical workflows and mechanistic insight into how cholesterol and related sterols regulate astrocytic Ca2+ dynamics remain limited. Here, we apply dynamic mode decomposition to dissect and classify Ca2+ signals obtained from time-lapse imaging of human astrocytes. Using both synthetic and experimental datasets, we show that delay-embedded dynamic mode decomposition combined with clustering separates heterogeneous Ca2+ activity into distinct dynamical states. This analysis reveals that increasing cholesterol levels shift astrocytes toward more active oscillatory states, whereas acute cholesterol depletion suppresses Ca2+ activity. In addition, pretreatment with the oxysterols 24-, 25-, and 27-hydroxycholesterol impaired cholesterolinduced Ca2+ oscillations. Together, this work presents a general computational framework for decomposing and analyzing complex spatiotemporal Ca2+ signals, with broad applicability to quantitative imaging in cell biology.

biophysics↗

bioRxiv2026

Phenotypic diversity of yeasts curated in the 5th edition of The Yeasts: A data-driven visualization approach

Yeasts have long served as key experimental systems in genetics, cell biology, and fermentation research; however, these studies have largely focused on a limited number of model species. In contrast, yeasts are a fungal group with remarkable physiological and ecological diversity. To provide a global overview of yeast diversity, we compiled and visualized phenotypic information for approximately 1,300 yeast species documented in The Yeasts (5th edition), including carbon utilization profiles, fermentation capacity, growth temperature ranges, and reported isolation sources. Taxonomic reconciliation revealed extensive reannotation, with approximately 44% of the species undergoing name changes and recognized genera increasing from 143 to 233. Integrative analyses revealed pronounced phylogenetic structuring of metabolic breadth. Many basidiomycetous yeasts, particularly Agaricomycotina, exhibited broader, generalist-like carbon utilization, whereas ascomycetous yeasts, especially Saccharomycotina, more frequently displayed sugar-centered, specialist-like narrower profiles; model yeasts such as Saccharomyces cerevisiae and Schizosaccharomyces pombe fell at the narrow end of this spectrum. Fewer than half of all species fermented glucose, a trait largely confined to Saccharomycotina. In addition, nearly one-fifth of species failed to grow at 30 {degrees}C, the standard laboratory temperature. By reconstructing and visualizing decades of dispersed taxonomic knowledge accumulated in The Yeasts, this study reframes yeasts not merely as laboratory model organisms but as metabolically diverse fungi whose phenotypic diversity reflects diverse ecological contexts. The analytical framework presented here provides a foundation for integrating standardized quantitative phenotypes and newly described species and offers a starting point for exploring the latent ecological and metabolic potential of yeast diversity.

microbiology↗

bioRxiv2026

The sugar-beet cyst nematode effector Hs2B11 targets the Arabidopsis serine protease inhibitor AtPR-6 to favor parasitism

Cyst nematodes secrete effector proteins to manipulate host cell biology and suppress immunity, yet the mechanisms underlying these interactions remain largely unexplored. In this study, we characterize the function of Hs2B11, a Heterodera schachtii effector that was previously shown to be expressed in the dorsal gland of sugar-beet cyst nematodes (BCN). Here, we report that in Arabidopsis thaliana Hs2B11 functions as an immune regulator that modulates the production of elicitor-induced oxidative species, likely to favor parasitism. To elucidate the molecular basis of this immune suppression, we performed a yeast-two-hybrid screen and identified the host serine protease inhibitor AtPR-6 as a direct interactor of Hs2B11. We show that AtPR-6 acts as a positive regulator of plant immunity; its expression is induced upon nematode infection and knock-out of AtPR-6 compromises oxidative species production leading to higher susceptibility to H. schachtii infection. Conversely, AtPR-6 overexpression enhances immune responses resulting in increased resistance to BCN infection. Detailed analysis of this interaction demonstrated that Hs2B11 interacts with AtPR-6 using its carboxyl-terminal domain. AlphaFold2 predicts that the C-terminal domain forms a beta-solenoid-like structure with a ladder of serine residues organized across one of its surfaces. We propose that using this interface, Hs2B11 targets AtPR-6 via molecular titration, preventing the inhibitor from regulating host proteases that control immune signaling. These findings highlight a counter-defense strategy where a nematode effector neutralizes a specific host protease inhibitor to subvert plant immunity.

plant biology↗

bioRxiv2026

Quantified duplications of proteins within complexes across eukaryotes

Protein complexes are central to cell biology and typically verified via a combination of interaction data, complete genome sequencing and comprehensive protein-coding gene predictions for reference eukaryotes. However this data is lacking for non-reference eukaryotes. Protein complexes can be predicted in species for which no interaction data is available by mapping orthology of verified protein complex components from reference eukaryotes to predicted proteomes. Studies that map conservation of protein complex components by orthology are often limited to a small number of protein queries, an under-representation of non-reference, microbial eukaryotes and are scattered across the literature. Here, I integrate orthology and protein interaction data by mapping proteins of experimentally verified complexes to orthogroups of proteins spanning 31 diverse eukaryotes. Proteins within complex-harbouring orthogroups are retained and distributed more evenly across taxa than non-complex orthogroups. I identified 184 universal orthogroups that included orthologs of known protein complex components from all 31 eukaryotes, consistent with a conserved core repertoire, likely present in the last eukaryotic common ancestor (LECA). I generated the protein complex orthology cartographer (PCOC) suite to find significant duplications and reductions of proteins in universal orthogroups across and between eukaryotes. This revealed both multi-copy and notably single-copy proteins, in all queried species, from the exosome, spliceosome, proteasome, small-ribosomal processome, tRNA synthetases, MCM complexes and RNA polymerase III. Case analyses of Naegleria gruberi and Guillardia theta highlight taxon-specific expansions and show how broader protist inclusion improves domain-wide inference of eukaryotic protein-complex evolution.

bioinformatics↗

bioRxiv2026

A Systems Framework for Quantifying Programmability and Persistence Across Mammalian Cell Types

Cellular therapies, toxicity screening, and regenerative medicine depend on selecting mammalian cell types with optimal lifespan, persistence post-transplant, immunogenicity, and chemical resilience. This review synthesizes data from over 50 immune, parenchymal, stem, and emerging engineered cell populations--including gamma-delta T cells, iNKT cells, CAR-macrophages, and hypoimmune iPSC derivatives--drawing from in vivo lifespan studies (including 1{blacksquare}C birth-dating and deuterium labeling), engraftment dynamics, immune rejection risk, and stress sensitivity profiles. We introduce a Programmability & Persistence Score (PPS; 0-20) that integrates these features into a unified metric, complemented by Pareto frontier analysis to visualize multi-objective trade-offs. High-PPS cell types (e.g., HLA-matched HSCs, hypoimmune iPSCs, chondrocytes) are suited for long-term regenerative applications, while low-PPS sentinels (e.g., neutrophils, enterocytes) serve acute assays. We discuss mathematical extensions including multi-criteria decision analysis, fuzzy membership functions, and Bayesian frameworks that address limitations of linear additive scoring. Together, these integrated profiles support cell selection for gene editing, organ-on-chip systems, in vivo cell programming, and immunotherapy, bridging cell biology with translational engineering.

systems biology↗

bioRxiv2026

The structure-interaction model of polymyxin lipopeptides with human oligopeptide transporter 2

Multidrug-resistant (MDR) Gram-negative bacteria pose a critical global health threat, while polymyxins remain a last-line therapy. However, their clinical use is limited by nephrotoxicity. Human oligopeptide transporter 2 (hPepT2) is a membrane transporter mediating the reabsorption of polymyxins in renal cells and contributes to their nephrotoxicity, but the molecular basis of their interaction remains unclear. Here, we investigated the structure-interaction relationship (SIR) of polymyxins with hPepT2 by integrating computational, chemical, and cell biology approaches. Bioinformatic modelling predicted an outward-facing hPepT2 structure and a potential transport pathway, with polymyxins interacting at the lateral opening, particularly E214, D215, D317, D342, and E622. Transporter mutagenesis and molecular analyses confirmed that D215 is critical for polymyxin binding, while other residues influence transporter turnover and/or expression. We subsequently synthesised polymyxin analogues with modifications at Dab1, Dab3, Dab5, and Dab9 of polymyxins, which reduced interactions with hPepT2. Notably, alanine substitution at Dab3 reduced nephrotoxicity in mice while retaining antibacterial activity. Overall, this proof-of-concept study demonstrates that the hPepT2-polymyxin SIR model provides a viable strategy for developing novel, safer lipopeptide antibiotics.

biochemistry↗

bioRxiv2026

Time-step restrictions for numerical approximations of the Poisson-Nernst-Planck (PNP) equations

The Poisson-Nernst-Planck (PNP) system is an accurate model of electrodiffusion of ionic species. It is commonly used in situations where nanoscale resolution is required, for instance close to ion channels in the membranes of biological cells. The inherent stiffness of the equations has made them challenging to solve and has limited the applicability of the system. In particular, the time step required for stable solutions has typically needed to be very short (nanoseconds), which makes simulations on the time scale of an action potential (milliseconds) difficult. Recently, it has been observed that avoiding operator splitting and instead solving the concentration equations and the electrostatic equation in a coupled manner relaxes the time-step limitation considerably. However, no theoretical explanation of this observation has been provided. Here, we aim to explain why the coupled scheme allows much larger time steps. We illustrate the mechanism by considering special cases that define necessary, but not sufficient, conditions for stability. We also show that these conditions remain relevant for the fully coupled PNP model in 3D.

biophysics↗

bioRxiv2026

COSMIC-Linked Ras Mutations at the Interface Between H-Ras and PI3KγRBD Frequently Generate Affinity Increases as Well as Affinity Decreases

The three conventional isoforms of the Ras G-protein (H-, K-, N-Ras) function as molecular on-off switches that regulate a wide array of signaling pathways, including the Ras-PI3K-PIP3-PDK1-AKT pathway that is central to innate immunity and normal cell growth, and is dysregulated in many disease states. Activation of the pathway by Ras requires adequate Ras-PI3K binding affinity. Here we focus on the interface of known structure in the H-Ras:PI3K{gamma} co-complex essential to multiple pathways including directed pseudopod growth in leukocyte chemotaxis. At this interface 10 H-Ras residues, all 100% conserved between the H-, K- and N-Ras isomers, contact the Ras binding domain of PI3K{gamma} (PI3K{gamma}RBD). To investigate the degree to which the native H-Ras:PI3K{gamma}RBD interface is optimized by evolution for maximal binding affinity, 8 interfacial Ras mutations selected from the COSMIC database and the literature were introduced at the contact positions. All 8 Ras mutations were observed to alter the H-Ras:PI3K{gamma}RBD binding affinity, with 4 mutations yielding significant affinity increases and 4 yielding significant affinity decreases. These findings indicate that the native H-Ras:PI3K{gamma}RBD interface provides intermediate, rather than maximal, binding affinity. Such intermediate affinity is consistent with the substantial binding plasticity of the conserved H-, N-, K-Ras effector docking surface, which has evolved to bind a diverse array of effectors. Furthermore, the findings provide evidence that COSMIC-linked mutations at the H-Ras:PI3K{gamma}RBD interface frequently generate affinity increases as well as decreases, with potential implications for molecular mechanisms of disease and for tool development in cell biology.

biochemistry↗

bioRxiv2026

Type 2 conventional dendritic cells and regulatory T cells form a barrier tissue circuit to control allergic inflammation

Chronic allergic diseases are driven by T helper type 2 (Th2) cells in barrier tissues. Despite their profound effects on tissue physiology, Th2 cells represent a rare cell population within tissues, suggesting mechanisms restraining Th2 cell expansion at barrier sites that remain ill defined. Using a murine model of allergic asthma, we demonstrate that effector Th2 cells promote cDC2 activation within the lungs, including expression of the CCR4 ligands that attract Foxp3+ regulatory T cells (Tregs). Selective deletion of Ccr4 in Tregs during the effector Th2 cell response led to increased lung Th2 cells, activated cDC2s, and allergic inflammation. Mechanistically, CCR4 promoted Treg trafficking efficiency and was required to specifically control tissue cDC2 co-stimulatory molecule expression. Lastly, in the airways of humans with allergy, the expression of the CCR4 ligands in activated cDCs correlated with Treg enrichment. In sum, we define a cDC2-Treg feedback circuit within a barrier tissue that restrains effector Th2 cell expansion, revealing a novel role for tissue cDC2s in controlling Th2 cell biology.

immunology↗

bioRxiv2026

Automated LN2 refill device for uninterrupted cryoFIB-SEM operations.

Due to recent technological advances, in situ structural cell biology is becoming a high throughput microscopy technique as all the steps of the workflow, from sample preparation to data analysis, are executed faster, more reliable and more reproducible. Sample thinning by cryoFIB-SEM is an essential tool in preparing electron transparent lamellae of biological specimens suitable for further characterization by cryoET. Modern cryoFIB-SEM instruments can be operated remotely and are capable of automated and unsupervised lamellae preparation. To take full advantage of these developments they need a constant supply of LN2 to maintain cryogenic conditions inside the microscope chamber. Here, we introduce a custom automated LN2 refill system that is compatible with gas cooled cryostages, supports long-term cryoFIB-SEM operations and liberates the user from highly repetitive and manual work. We believe this solution can be utilized with other cryoSEM or cryoFIB-SEM devices requiring N2 gas-flow cooling.

biophysics↗

bioRxiv2026

Culsma: A Formal Language for Laboratory Protocols

Laboratory protocols are commonly communicated in natural language, leaving room for variation in how experimental commitments are understood and carried out. We present Culsma, an executable specification language in which protocols are written as programs. The same program is legible to bench scientists and directly machine-readable by software that checks and runs it. It serves as the protocol's operational specification, making experimental commitments explicit for checking before execution and retaining them in results. Culsma addresses how experimental procedures are modeled: it defines operations by the experimental changes and relationships they establish, giving a fine-grained, compositional basis whose technique- and device-specific realizations remain extensible. We examine this boundary in workflows spanning molecular and cell biology, protein biochemistry, and immunoassays, which combine material handling, separation, and measurement differently, asking which distinctions the operation interface preserves. A maintained, source-linked benchmark broadens this evaluation with versioned checks of source-step correspondence and software execution.

bioinformatics↗

bioRxiv2026

Automated assembly of protein complexes from cryo-EM maps with structure-informed Monte Carlo Tree Search

Structural cell biology aims to visualize functional molecules as they carry out their biological roles in their native cellular context. However, macromolecular complexes in situ have thus far been resolved predominantly at intermediate resolutions, complicating protein identification and structural modeling due to the vast combinatorial space of possible components within a proteome. Here, we developed Cryosearch, a GPU-accelerated framework for automated assembly of macromolecular complexes from proteome-scale monomer libraries. Cryosearch implements Monte Carlo tree search with correlation-based rewards to identify combinations of protein domains that collectively best explain density maps. This approach enables autonomous de novo assembly of molecular complexes from intermediate-resolution maps.

bioinformatics↗

bioRxiv2026

A Spectrum of Possibilities: A Systematic Evaluation of Fluorescent Proteins in Cyanobacteria

Fluorescent reporters cover a wide range of applications in both basic and applied research. Whether a study involves microscopic imaging to study (co)-localization of proteins, FRET, biosensing, or quantifying gene expression, fluorophores are attractive reporter candidates due to their relatively straightforward in vivo readout. For microbiological applications, a wide variety of fluorescent proteins with varying excitation and emission wavelengths, brightness levels, and maturation times are available. Careful consideration is required when selecting from this large suite of proteins, especially when choosing multiple fluorophores. This is further complicated in phototrophic organisms, which exhibit strong autofluorescence, especially towards the red part of the spectrum, effectively eliminating common candidates such as mCherry. In this study, the specific properties and performance of a selection of fluorescent proteins are systematically evaluated against the background of photosynthetic pigment-derived autofluorescence in the cyanobacterium Synechocystis sp. PCC 6803. Specific readouts of different combinations of fluorescent proteins are also analyzed using high-throughput methods, namely plate reader fluorescent scans and single-cell flow cytometry to quantify fluorescence. The ultimate goal is to assess each fluorescent protein with regard to: 1.) Its ability to be discerned from cyanobacterial autofluorescence. 2.) Its compatibility with other fluorophores in this context. 3.) Its overall suitability in cyanobacterial research. Several highly suitable fluorescent proteins for use in cyanobacteria are identified, including mTagBFP2, mNeonGreen and mScarlet-I and suitable combinations, covering nearly the whole spectrum of visible light. This study expands the knowledge and toolset for current and future researchers and uncovers a whole spectrum of possibilities for fluorescent protein selection in cyanobacterial cell biology.

synthetic biology↗

bioRxiv2026

Autoimmune non-coding variants perturb transcription factor-cofactor complex assembly linked to enhancer activity

Most autoimmune disease-associated variants lie in non-coding regions, but the molecular mechanisms linking these variants to gene regulation remain poorly understood. A major unresolved challenge is to determine how disease alleles alter transcription factor (TF) binding, cofactor (COF) recruitment, and enhancer activity at scale. Here, we used the CASCADE method to profile differential binding of five TFs and ten COFs to 2,901 autoimmune disease-associated variants in Jurkat T cells, identifying 516 binding-modulating variants. Variants impacting binding were enriched among MPRA-defined expression-modulating variants and were strongly concordant with allele-specific reporter expression, linking altered TF/COF recruitment to enhancer activity. A majority of variants perturb binding of five major TF families -- ETS, RUNX, SP/KLF, OVOL/MYBL, and bHLH -- all of which have established roles in T cell biology. Notably, we find that ETS and RUNX factor binding is enriched at different variant functional classes, suggesting that they act through distinct regulatory mechanisms at disease loci. We describe allele-dependent regulator "switching" at several loci, where distinct complexes are found at reference and variants alleles, and we identify a recurrent regulatory module involving FOXM1 and the cofactors TIP60, BRD4, NCOA3, and NCOA1 assembling on ETS sites that tracks with gene expression. Together, this integrated biochemical and functional framework prioritizes autoimmune disease-associated variants by linking allele-specific TF/COF binding mechanisms to enhancer activity.

genomics↗

bioRxiv2026

Roles for Phosphatase PP4 in Rhythmicity and Compensation in the Neurospora Circadian System

The circadian clock is a highly conserved timer which allows organisms to anticipate future conditions driven by the 24-hour day on planet Earth. Circadian clocks from fungi to mammals are based on a transcription-translation feedback loop (TTFL) molecular architecture. Progressive phosphorylation of core clock proteins can alter both their activity and stability and is required for all known circadian TTFLs. The mechanism for kinase control of circadian period has been extensively studied; however, the mechanism(s) whereby phosphatases alter period remain less studied. Based on the observation that strains of Neurospora crassa lacking phosphatase pp4 display a short circadian period, we investigated regulation of pp4 and its role in the clockworks. In addition to period shortening, loss of pp4 results in a significant loss of both temperature and nutritional compensation, consistent with substrates within the core clock. We identify the clock-relevant PP4 phosphatase holoenzyme as a heterotrimer, and identify two activators of PP4 which regulate circadian period. Biochemical and cell biological analyses suggest that PP4 acts in the nucleus, and a mass spectrometry-based screen identified NCU07414, a member of the HSP40 chaperone system, as a novel PP4 binding partner whose loss results in a dramatically shortened period of the clock when ablated. A model consistent with the data suggests that PP4 may act in opposition to kinases to influence the rate of accumulation of the clock-relevant phosphorylations that determine circadian period.

genetics↗