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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 Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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Function-driven geometry directs human pilosebaceous unit development

Single-cell technologies have generated cell censuses of tissues, however, how tissue geometry reflects functional needs remains poorly characterized. The human pilosebaceous unit offers a tractable model, a prenatally-formed complex mini-organ combining hair and sebum production with a stem cell reservoir. Using histomorphology, spatial transcriptomics, and single-cell multiomics on the same human prenatal scalp skin samples (8-19 post-conception weeks), integrated and analyzed using machine learning approaches, we built a spatiotemporal map of pilosebaceous unit development. We demonstrate that epithelial-mesenchymal interactions coordinate cellular fate and organogenesis, using an in vitro hair-bearing skin organoid model to validate this tissue-patterning. In addition, we show sebaceous gland developmental programmes are overcome during tumor formation. Our large-scale multi-modal analysis provides a unique framework for understanding form and function of tissues with applications in tissue engineering and pathology.

developmental biology

Lipogenic gene expression and substrate sensitivity in the bovine mammary gland shape milk fat composition

Milk fat is produced by mammary epithelial cells (MEC) through a conserved mechanism shared among all fat-producing cells across biological kingdoms. Although highly conserved, different tissues and organisms produce distinctive fat compositions. Notably, ruminant milk fat is characterized by enrichment in short and medium chain fatty acids. We hypothesized that this unique profile is driven by MEC-specific metabolic characteristics related to their response to lipogenic substrates. To study this, we compared bovine MEC and udder-derived fibroblasts in terms of their lipogenic capacity and fatty acid composition when exposed to lipogenic building blocks. When exposed to acetate, MEC showed coordinated upregulation of acyl-CoA short-chain synthetase 1 (ACSS1) and diacylglycerol transferase (DGAT), while expression of acyl-CoA synthetase long-chain 1 (ACSL1) decreased. Medium chain fatty acids were also elevated in acetate-treated MEC and not in fibroblasts. The role of ACSS1 in the production of medium chain fatty acids in MEC was confirmed by knockdown experiments. Metabolomics analysis showed that in MEC acetate treatment triggered a broad metabolic response, primarily amino acids catabolism, energy and polar lipid metabolism. Collectively, these findings demonstrate effective utilization of acetate for de novo fatty acid synthesis in MEC with preferred tendency to produce medium chain fatty acids.

cell biology

Design and Validation of New Primers for Specific and Sensitive Real-time PCR Detection and Quantification of Seven Botulinum Encoding Genes (Serotype A-G) of Clostridium botulinum

Botulinum neurotoxins (BoNTs) comprise a highly diverse group of seven serotypes (from A-G) and over 40 subtypes worldwide. Previous primer- and probe-based nucleic acid amplification tests (NAATs) for detection of BoNT encoding genes are challenged by high levels of nucleotide polymorphism both across and within subtypes. In this study, multiple BoNT gene sequences were aligned to identify highly conserved regions for the design of new primers that enable the detection of all seven serotypes under the same conditions. Specific primer sets were designed and validated using in silico, conventional and real-time PCR with constructed plasmids carrying the target fragments and spiked food matrices. The established procedure achieved highly specific and sensitive detection of BoNT serotypes A-G with sensitivity of 10 copies/reaction and a total turnaround time of approximately 1.5 hours. The procedure also eliminated the carryover PCR product by using uracil-N-glycosylase in combination with dUTP in the assay reaction mix. This study provides an alternative NAAT with higher coverage and compliments the traditional mouse bioassays in enhancing global botulism surveillance capabilities.

molecular biology

Anxiety-Related Traits Are Associated with Subjective Biases but not Altered Threat-Safety Discrimination

Anxiety-related traits (ARTs) have been linked to altered fear learning, but previous studies have typically examined different experimental phases and response systems, limiting the comparability of findings and the accumulation of consistent evidence. Here, we comprehensively examined associations between ARTs and fear conditioning across acquisition, extinction and renewal and across subjective, physiological and neural response systems in a well-powered sample (N = 267) using a two-day differential conditioning paradigm. ARTs were operationalized as a composite of trait anxiety, neuroticism, and intolerance of uncertainty and conditioned responding was assessed using skin conductance responses, fear-potentiated startle, US expectancy ratings, fear ratings, and functional magnetic resonance imaging. Higher ARTs were consistently associated with elevated subjective fear and US expectancy to both threat and safety cues during extinction and renewal, without corresponding elevations in physiological responding. At the same time, ARTs were not associated with threat-safety discrimination in subjective or physiological measures across phases, while neural associations were limited to reduced dorsal anterior cingulate cortex discrimination during early renewal. These findings suggest that ARTs are characterized by a CS unspecific cognitive bias toward heightened threat expectancy and evaluation rather than altered associative fear learning, highlighting the importance of distinguishing conditioned discrimination from general levels of responding across response systems.

neuroscience

Distinct functions of Nup93 paralogs in tumor growth and Polycomb-mediated repression of JAK/STAT signaling

Nuclear pore complexes (NPCs) are nuclear envelope (NE)-embedded protein assemblies that mediate nucleocytoplasmic exchange and interact with the genome, including binding of an NPC component Nup93 to Polycomb chromatin domains. Here, we investigated the in vivo relevance of this relationship in Drosophila, which unusually contains two distinct paralogs of Nup93. Interestingly, we identified a Nup93-2-specific tumorigenic phenotype in larval wings, where depletion of Nup93-2, but not Nup93-1, led to tumor-like overgrowth, reminiscent of Polycomb mutations. Consistently, our transcriptomic analysis revealed a wide-spread loss of gene silencing in Nup93-2-depleted wings, particularly in a Nup93-bound Polycomb domain spanning genes for activators of JAK/STAT signaling. Nup93 paralogs were not found to differ in their effect on NPC biogenesis but strikingly, showed differences in subnuclear localization patterns. While Nup93-1 co-localized exclusively with fully assembled NPCs, Nup93-2 exhibited only partial co-localization and was found at additional NE locations in a tissue-specific manner. Together, our results identify an in vivo silencing role of a Nup93 paralog and suggest that Nup93-2 may form a unique NE-associated complex that targets a subset of Polycomb domains containing growth-promoting genes.

developmental biology

Ancient Somatosensory Circuit Architectures Employ Flexible Molecular Strategies

The extent to which conserved neural circuit architectures depend on shared molecular specification programs remains unclear. Here, we address this question by examining the somatosensory system of the little skate, Leucoraja erinacea, an early-diverging vertebrate that retains ancestral features of both finned and limb-based body plans. We show that core features of somatosensory circuit organization, including laminar organization of the spinal cord and dorsally restricted targeting of sensory afferents, are deeply conserved. Unexpectedly, the molecular programs specifying dorsal root ganglion (DRG) sensory subtypes diverge extensively from those of mammals. Although DRG neuron subtype specification and spinal connectivity rely on target-derived cues, skates employ distinct neurotrophin receptor and transcription factor identity codes. These findings support a model in which conserved spinal circuit architectures provide a stable scaffold that leverages flexible sensory neuron specification programs, enabling the evolutionary diversification of vertebrate somatosensory systems. HighlightsO_LIIntegrated analysis of spinal cord and DRG neuronal diversity in Leucoraja erinacea C_LIO_LILaminar organization of the dorsal spinal cord is an ancestral vertebrate feature C_LIO_LIDivergent neurotrophin receptor and transcription factor codes in sensory neurons C_LIO_LIConserved target-dependent regulation of sensory identity and connectivity C_LI

neuroscience

A Metabolic Labeling Strategy for Tracking Protein Synthesis in Complex Biological Systems

Protein synthesis supports most biological processes. In the brain in particular, protein synthesis plays a critical role in physiological and pathological states. Here, we describe Tellurophene-Alkyne Cycloaddition-mediated Amino acid Tagging (TeACAT), a versatile strategy for fast, facile, and flexible tagging of newly synthesized proteins in mice. TeACAT is based on metabolic incorporation of the non-canonical amino acid TePhe into proteins by the endogenous protein synthesis machinery. Due to their high similarity, TePhe can efficiently replace canonical Phe without dietary or genetic manipulation. The subsequent bio-orthogonal reaction of TePhe with either fluorescent dyes or affinity handles enables both visualization and affinity enrichment of proteins synthesized during TePhe exposure. TeACAT is compatible with immunofluorescence for cell-type specific visualization of protein synthesis with subcellular resolution and can be used in conjunction with routine proteomics to identify and quantify newly synthesized proteins. Robust incorporation into the mouse proteome was observed on the scale of hours to days, allowing the interrogation of various biological processes. In summary, TeACAT enables the visualization and quantification of protein synthesis with minimal perturbation for biological discoveries.

molecular biology

Data coverage and model formulation reshape quantitative interpretations of bacterial transcriptional regulation

Thermodynamic models quantitatively describe interactions between transcription machinery and bacterial promoters. Contrary to conventional understanding, model analysis by Parisutham et al. (2025) attributes transcriptional inhibition by repressors to overstabilization of the RNA polymerase-promoter complex rather than prevention of its formation. Moreover, it suggests an inverse scaling relationship between basal promoter strength and transcriptional fold change, applicable to both repressor- and activator-mediated regulation. To reevaluate findings from this study, we systematically analyze empirical data and compare its framework with conventional thermodynamic models. In contrast to the inverse scaling relationship, data across multiple sources exhibit a peaked tradeoff between basal promoter strength and fold change, underscoring the importance of broad data coverage in revealing the full pattern required for reliable model inference. Furthermore, we identify the model assumption responsible for the apparent inverse scaling and misinterpretation of regulatory mechanisms. Relaxing this assumption enables the model to capture the peaked tradeoff and yield inferences consistent with established mechanisms of transcriptional repression and activation. We further derive a mathematical solution that connects basal expression to fold change for both repressor- and activator-regulated promoters. Our results underscore the importance of broad data coverage to avoid a blind-men-and-elephant interpretation and establish basal promoter strength as a key design parameter governing transcriptional regulation.

systems biology

Living electronic transistors with tunable conductivity

Electroactive bacteria, like Shewanella oneidensis, can couple the oxidation of organic electron donors to the reduction of external conductive surfaces, such as minerals and electrodes, by utilizing multiheme cytochromes to carry charge from within the cell to external surfaces. Additionally, multiheme cytochromes facilitate gateable, long-distance (micrometer-scale) redox conduction along the outer membrane and across multiple cells bridging electrodes. While electroactive microbes are being used to develop bioelectrochemical devices, there have been limited efforts to use synthetic biology to exert additional control over microbes serving as device components. Thus, this work implements an optogenetic biofilm patterning gene circuit and a small molecule sensor in S. oneidensis to simultaneously control cell deposition and cytochrome expression. This allows for photolithographic patterning of biofilms possessing tunable electrical properties controlled with small molecules. This system demonstrates tunable electrochemical activity, redox conduction, intrinsic biofilm conductivity, and negative differential transconductance as a function of cytochrome expression. Additionally, temperature-dependent measurements of this tunable biofilm conduction reveal changes in activation energy as a function of cytochrome expression. Through this combination of synthetic biology and electrochemistry, simultaneous control over biofilm geometry and conductivity sheds light on fundamental microbial electron transport processes, and it enables the construction of living electronic devices.

synthetic biology

Increased activity in the somatosensory and insular cortex during the transition from acute to chronic neuropathic pain

Pathophysiological mechanisms underlying the transition from acute to chronic neuropathic pain remain incompletely understood. The somatosensory and insular cortices are key cortical components of the pain matrix. We examined changes in activation of these cortical regions during the transition from acute to chronic neuropathic pain. The right sciatic nerve was ligated in activity reporter TRAP mice using standard procedures. Mechanical allodynia was confirmed after CCI or sham surgery using von Frey monofilaments applied to the hind paws. To label active neurons, 4-hydroxytamoxifen was administered to separate cohorts at 1, 3, and 6 weeks following nerve ligation. Passive tissue clearing of brain sections and confocal imaging was used to assess active neurons. Progressive reduction of ipsilateral hind paw in CCI mice indicated mechanical allodynia development. CCI mice showed robust neuronal activation in the bilateral somatosensory and insular cortices. The somatosensory cortical activation peaked at 3 weeks post-CCI, whereas insular cortical activity increased during the transition from acute to chronic neuropathic pain. These studies revealed that CCI induced progressive mechanical allodynia and distinct temporal patterns of cortical neuronal activation, with transient peak neuronal activity in the somatosensory cortex and sustained, increasing activation in the insular cortex during acute-to-chronic pain transformation.

neuroscience

Transcriptomic profile of a rat jaw opener (anterior digastric) and a jaw closer (superficial masseter).

Mammalian skeletal muscle research predominantly focuses on locomotor muscles, and feeding related muscles remain less extensively characterized despite their role in mastication, mandibular stabilization, and swallowing. In this study, we investigated the transcriptomic specialization of three functionally and developmentally unique rat muscles: the anterior digastric (AD), a jaw opening muscle; the superficial masseter (SM), a jaw closing muscle; and the Sternohyoid (SH), a non-mandibular muscle involved in swallowing. Differential gene expression and weighted gene co-expression network analysis were used to characterize the transcription level features associated with their distinct roles. Our results indicated that all three muscles predominantly expressed fast-twitch contractile isoforms. However, the AD showed lower overall expression of several contractile gene families, including myosin heavy chain, myosin light chain, and tropomyosin isoforms, while exhibiting elevated expression of slow/oxidative myosin isoforms like Myh7 and Myh2. Network analysis revealed that modules correlated with AD are strongly enriched for fatty acid catabolism, mitochondrial energy production, and vascular/extracellular matrix remodeling. Additionally, AD and SM shared a distinct gene set compared to SH, highlighting their common developmental origin from the first branchial arch. Our findings show that the rat feeding related muscles possess unique transcriptomic profiles shaped by their contractile functions, developmental origins, and metabolic functions.

bioinformatics

A Microneurosurgical Survival Platform for Elucidating Mechanisms of Brain Tumor Recurrence and Metastasis

Brain tumor recurrence remains the leading cause of mortality in neuro-oncology, and there is a lack of preclinical models replicating the clinical cycle of surgical resection and relapse. To bridge this gap, we developed a novel microneurosurgical survival platform in mice using the NICO Myriad system. We orthotopically implanted pediatric medulloblastoma cells into the mouse cerebral cortex or cerebellum, followed by longitudinal microneurosurgical resection. Bioluminescence imaging and gross fluorescence verified successful resection, local and distal recurrence and metastasis. Comparative bulk RNA sequencing revealed extensive stage-specific transcriptomic divergence alongside conserved core gene sets (2,702 genes in the cerebral cortex and 3,240 genes in the cerebellum) across primary, locally recurrent, and distally recurrent stages. Pathway analysis shows activation of cellular growth, second messenger signaling, and cellular stress adaptation pathways. Targeted qPCR validation demonstrated that post-surgical relapse is driven by a distinct molecular program: recurrent tumors downregulate primary developmental drivers (PTCH1, MYCBP2), canonical suppressors (FOS, PTEN), and chromatin regulators (HDAC2), while selectively upregulating post-transcriptional machinery (RBM8A), endosomal trafficking regulators (RAB5C), acetyltransferases (NAA15), and the m6A RNA demethylase ALKBH5. These findings reveal that medulloblastoma shifts from a primary oncogenic state toward post-transcriptional and transcriptomic survival mechanisms following surgery. Identifying persistent candidates within this conserved core framework provides a roadmap for next-generation precision immunotherapies.

cancer biology

Arabidopsis thaliana ACTIN DEPOLYMERIZING FACTORs are novel susceptibility factors for Colletotrichum higginsianum

Colletotrichum higginsianum (Ch) is a hemibiotrophic fungal pathogen that infects Brassicaceae plants, including Arabidopsis thaliana. The molecular mechanisms underlying the Ch-A. thaliana interaction are not fully understood. Particularly, the susceptibility factor against Ch infection remains to be determined. Here, we report that A. thaliana ACTIN DEPOLYMERIZING FACTORs (ADFs), ancient proteins that regulate the organization and dynamics of actin filaments (AFs), function as susceptibility factors during Ch infection. Among 11 ADFs encoded in A. thaliana genome, subclass I ADFs that include ADF1, -2, -3, and -4, express throughout the plant. We found that knockout mutant of ADF4 and transgenic plants in which the expression of all of subclass I members is suppressed (ADF1-4Ri) exhibited increased resistance to Ch. Cytological analyses revealed that both Ch penetration and secondary hyphae formation were suppressed in adf4 and ADF1-4Ri. This enhanced resistance was associated with suppression of Ch-induced AF fragmentation. In addition, we found that PENETRATION 2 (PEN2) plays a critical role in the Ch resistance in adf4 and ADF1-4Ri. Our findings suggest that subclass I ADFs promote AF fragmentation during Ch infection, thereby suppressing PEN2-associated mitochondria accumulation at Ch entry sites. Together, these results raise the possibility that Ch exploits host ADF-dependent actin regulation to facilitate successful infection.

plant biology

Membrane voltage and connexin expression work together to enhance tumor growth and metastasis in cancer

There is strong evidence of tumors manipulating their resting membrane potential (Vmem). While most fully-differentiated cells have a Vmem of roughly -70mV, tumor cells are generally depolarized, with Vmem {approx}-30mV, which more closely resembles the Vmem of stem cells. This is often believed to serve the purpose of accelerating the cell cycle and hence advantaging tumor proliferation. But when the tumor becomes invasive, its cells sometimes revert to a hyperpolarized Vmem with no obvious reason why. Separately, it is well accepted that solid tumors that are not yet invasive greatly underexpress connexins relative to healthy tissue; connexins, for our purpose, form gap junctions (GJs), small connecting tubes between nearby cells. Tumors that are invasive, by contrast, overexpress connexins. There is very little explanation for the paradox that connexins are first underexpressed and then overexpressed. However, it has long been known that Vmem electrically gates GJs; specifically, that homotypic GJs conduct best when the two cells they connect have a similar Vmem. Our in-silico model results explain this phenomenon, showing that when considered together, tumors' electrical and connexin-expression behaviors form a unified and effective strategy to control communication between the tumor and its healthy neighbor cells. This has implications for the emerging field of cancer bioelectrics, potentially leading to more precisely-targeted therapies.

cancer biology

Melanin Suppresses Aβ Aggregation and Toxicity

The aggregation of amyloid-{beta} (A{beta}) peptides into insoluble deposits is a characteristic hallmark of Alzheimer's disease (AD) and related neurodegenerative disorders. While AD is the most common cause of dementia, there are currently no disease-modifying treatments which are both affordable and adverse-free. In this study, we report that melanin, a pigment which is commonly found in nature and is abundant in parts of the human brain, suppresses the aggregation of the 42-amino acid A{beta} variant (A{beta}42). Using biophysical and biochemical techniques, we show that melanin delays A{beta}42 aggregation while also reducing the amount of A{beta}42 that converts into aggregates. Using thioflavin T assays paired with chemical kinetics, we characterised the melanin-induced inhibition of A{beta}42 aggregation in vitro. Using MALDI-MS, we elucidate the molecular basis of this effect by showing that melanin prevents A{beta}42 dimerisation. We then demonstrate that melanin also reverts the aggregation process by dissolving pre-formed A{beta}42 fibrils. Finally, we show that melanin reduces A{beta}42 aggregation and rescues A{beta}42 toxicity in an SH-SY5Y neuroblastoma cell model. Our study shows that melanin disrupts the aggregation and cytotoxicity of A{beta}42, and suggests that compounds derived from human metabolites may offer promising avenues to combat amyloid formation.

biophysics

Red and blue light cues drive contrasting remodeling of lipophilic metabolites and photophysiology in natural benthic diatom biofilms

Intertidal mudflats are low hydrodynamic energy environments hosting microphytobenthic communities that experience strong spatiotemporal variability in light regimes, including changes in spectral quality and light intensity that can lead to cellular photooxidative stress. To cope with these fluctuations, autotrophs exhibit diverse and highly plastic adaptations that are often species-dependent and shaped by their ecological niches. This study investigates photophysiological responses and metabolic remodeling in a diatom assemblage originating from a natural winter microphytobenthic biofilm under contrasting red and blue light intensities. To this end, photosynthetic parameters were monitored alongside changes in lipophilic metabolites, including untargeted lipids and lipophilic pigments. While few metabolites showed temporal remodeling, rapid and contrasting changes were observed within 30 minutes in response to both spectral quality and light intensity. Red light treatments induced broader remodeling of lipophilic metabolites than blue light, whereas blue light appeared to have a greater impact on photosynthetic parameters. Moreover, red light induced xanthophyll-cycle responses comparable to those observed under blue light at equivalent incident intensity. We discuss these metabolic responses in relation to diatom photoadaptive strategies, placing these findings within the intertidal environmental framework. This work further underlines the importance of understanding rapid metabolic plasticity in coping with light fluctuations, providing new insights into the photoregulatory strategies of natural microphytobenthic communities.

cell biology

AmPair: automating housekeeping-gene primer design for species-level metataxonomics

Amplicon sequencing of the 16S rRNA gene is the most widely used approach for profiling bacterial communities, but its taxonomic resolution is typically limited to the genus level. Many species carry multiple divergent 16S rRNA alleles that overlap across species boundaries, an ambiguity that even full-length, long-read sequencing cannot fully resolve. Shotgun metagenomics achieves species-level resolution but remains costly, particularly when only a single genus is of interest. Amplicon sequencing of rapidly evolving, protein-coding housekeeping genes offers a cost-effective alternative, yet no tool exists to identify suitable primer sets for a given target taxon. Here we present AmPair, a Snakemake pipeline that, given a target genus and one or more candidate housekeeping genes, designs and ranks primer pairs binding conserved regions while flanking a variable region capable of species-level discrimination, and validates them in silico across all available genomes. Using the genus Bacillus and the housekeeping gene tuf as a case study, the primer set recommended by AmPair amplified 99% of 2,392 genomes; only 0.04% carried multiple alleles and none showed inter-species allele overlap, compared with 91.41% and 69.49%, respectively, for the standard 16S rRNA V1-V9 region. Applied to a Bacillus community profiled by Nanopore sequencing, the same primers resolved closely related species. AmPair thus offers a generalizable and accessible route to species-level community profiling.

bioinformatics

Microglia drive demyelination via multiple sclerosis antibodies and BTK signaling

Microglia are the predominant immune cells in multiple sclerosis (MS) demyelinating lesions, where they phagocytose myelin, but whether they destroy myelin or merely scavenge its debris is unknown. Here, we explore whether pathogenic autoantibodies found in MS may induce the phagocytic destruction of myelin by microglia. Applying patient-derived, myelin-targeting antibodies to the mouse cortex, we developed an in vivo model of MS with focal demyelination that depended on epitope specificity and Fc gamma receptor and complement binding. Longitudinal monitoring of microglia-myelin interactions using in vivo two-photon microscopy revealed rapid microglial envelopment of intact myelin driving myelin loss, while single-cell RNA sequencing identified a demyelination-associated microglial signature. Parallel changes were observed in human MS lesions, where microglia enveloped intact myelin and similar genes were upregulated. Inhibition of Brutons tyrosine kinase (BTK) limited microglial transcriptional changes and prevented myelin loss following microglial envelopment. These findings directly implicate microglia in pathological myelin loss and support BTK inhibition as a therapeutic strategy to prevent demyelination by modulating microglia behavior.

neuroscience