Biology subjects

Akter, M.

Publications and source records attributed to Akter, M..

At least 19 recordsLinked to original sources

bioRxiv2026

Genetic drivers shape TREM2-dependent myeloid responses and glioblastoma progression

Glioblastoma (GBM) is characterized by a heterogeneous, myeloid-enriched, and highly immunosuppressive microenvironment. TREM2 regulates microglial and macrophage functions, but its role in GBM remains unclear. We investigated whether genetic drivers determine the effects of TREM2 using de novo and orthotopic transplantable murine models of Nf1-silenced/Ras-driven and PDGFB-driven GBM. To this end, we combined immune profiling, functional assays, secretome analysis, and single-cell RNA sequencing with bone marrow chimeras and conditional Trem2 deletion strategies. Trem2 deficiency prolonged survival and reduced tumor burden in Nf1-silenced/Ras-driven GBM, whereas it increased tumor burden without affecting survival in PDGFB-driven GBM. These different outcomes were accompanied by distinct changes in myeloid composition and soluble mediators. TREM2 was required for bone marrow-derived macrophage migration and microglial process extension towards Ras-derived, but not PDGFB-derived, tumor-conditioned medium. In contrast, both models showed impaired microglial efferocytosis. Single-cell RNA sequencing analysis of Nf1-silenced GBM showed that Trem2 loss shifted myeloid cells from disease-associated, pro-inflammatory states to a more homeostatic state. Bone marrow chimeras supported a tumor-promoting role for TREM2 in microglia, rather than infiltrating myeloid cells in Ras-driven GBM. In addition, conditional deletion of Trem2 before tumor implantation prolonged survival, whereas deletion after tumor establishment did not. These findings identify genetic context and timing of TREM2 activity as determinants of its effects on GBM progression, highlighting driver-dependent myeloid responses as considerations for developing TREM2-directed therapies in glioblastoma.

neuroscience↗

bioRxiv2026

Characterization of Chromium-Resistant and Reducing Bacteria from Poultry Litter Ecosystems

Compact poultry raising has turned poultry litter into an environmental problem, as it may all be packed with heavy metals and drug-resistant germs. Of all the metals, chromium contamination not only disturbs the general environment but is also a source of concern for public health. Poultry litters were taken from 14 farms in different places, and the bacteria characters from different places were tested for their capacity to tolerate Cr(VI). A total of 31 bacterial isolates were initially screened, and three of them (AH-2, AZ-1, and AMF-3) appeared to be very resistant to chromium. The isolates were able to survive at the highest concentration, 800 mg/L of the Cr(VI); however, AH-2 was the most resistant one (MIC: 900 mg/L; MBC: 1000 mg/L). Chromium reduction tests showed that AMF-3 at high concentration showed the maximum chromium reduction, while AH-2 achieved higher chromium reduction at medium concentration. Phenotypic and biochemical analysis showed that the isolates were Staphylococcus spp., which was confirmed by 16S rRNA gene sequencing as S. cohnii, S. saprophyticus, and S. gallinarum. Moreover, chromium was detected at higher levels in poultry litter compared to the feed, with the highest accumulation in AZ farm litter (4464.0 g/kg). The highlighting feature of our article is the presence of chromium-tolerant and reducing bacteria in poultry environments. Besides that, the level of chromium in poultry litter is really high, and it points to the need for better waste management.

microbiology↗

bioRxiv2026

GuavaVision AI: An Explainable Deep Learning Framework for Automated Classification, Lesion Localization, and Segmentation of Guava Diseases

Guava cultivation is considerably influenced by foliar and fruit diseases whose overlapping symptoms and environmental variability make accurate field-level diagnosis challenging. Numerous studies have been conducted to find efficient methods of diagnosing plant diseases, but most focus on image-level classification and do not include lesion localization or pixel-level segmentation of the images within a single framework of analysis. This study proposes a comprehensive framework for utilizing automated image analysis to classify guava leaf and fruit diseases at the image level, locate lesions, and segment lesions at the pixel level from multiple images of the same type of disease collected from various growing conditions. The dataset was enriched through three augmentation strategies including standard preprocessing, structured augmentation, and GAN-based synthetic image generation, expanding the effective training data to approximately 7,000 images, while a 5-fold cross-validation strategy guided model selection and final performance was assessed on a held-out test set. The experimental evaluation of multiple state-of-the-art Convolutional Neural Networks (CNNs) for the classification of guava leaf and fruit diseases indicated that the model generated using the ResNet50+DenseNet121 model fusion achieved the highest classification accuracy of 98.20%. For lesion detection and segmentation, YOLOv8-seg outperformed Mask R-CNN, achieving mAP@0.5 of 0.907 and 0.889, and mAP@0.5:0.95 of 0.783 and 0.769 for detection and segmentation, respectively, with a balanced precision-recall profile. The techniques of Explainable AI (XAI) were used to increase the transparency of this model by identifying areas in the image that are significant to the actual lesion. The framework was further designed with practical web-based deployment in mind, evaluating both lightweight and high-capacity models to balance computational efficiency against predictive accuracy. From this research, it was concluded that using model fusion, data augmentation, and segmentation-aware lesion detection would provide a solution for managing guava diseases effectively.

bioengineering↗

bioRxiv2026

Ferroptosis is executed through caspase-5 cleavage of gasdermin E in ovarian cancer cells

Ferroptosis, an intracellular iron-catalyzed form of programmed cell death (PCD) driven by lipid reactive oxygen species induced membrane damage, is mechanistically uncharacterized in its execution process. Here, we investigated ferroptosis execution in mesenchymal-like ovarian cancer cells treated with ferroptosis inducers ML162 and erastin. We showed that YVAD (a pyroptosis-associated inflammatory caspase inhibitor) and disulfiram (preventing gasdermin pore formation on plasma membrane) deterred ferroptotic cell death. Moreover, we also observed LDH release and IL-1{beta} secretion from ferroptotic cells, suggesting that ferroptosis involves a pore-forming process. Intriguingly, ferroptosis is independent of the canonical inflammasome pathway because caspase-1 is dispensable and not activated upon ferroptosis induction. In contrast, we found that caspase-5 was activated while caspase-4 was not during ferroptosis. In addition, depletion of caspase-5 rendered cells not responding to ferroptosis inducers. Also intriguingly, GSDMD, the well-established caspase-5 substrate, was not involved in ferroptosis. We instead detected GSDME cleavage upon ferroptosis induction and knockdown of GSDME reduced cell death induced by ferroptosis inducers. As caspase-5 activity was necessary for ferroptosis and caspase-5 directly cleaved GSDME, we conclude that the axis of caspase-5/GSDME executes ferroptosis in ovarian cancer cells.

cell biology↗

bioRxiv2026

Proton FLASH preserves neurocognition across delivery techniques: implications for clinical translation in pediatric brain tumors

BackgroundRadiation therapy is integral to the curative treatment of childhood brain tumors but contributes to late neurocognitive impairment in survivors. FLASH (ultra-high dose rate, >40Gy/s) reduces normal-tissue toxicity in preclinical models, and proton-FLASH is currently the only modality capable of delivering ultra-high dose rates to the deep targets, such as pediatric brain tumors. However, two questions remain unresolved before clinical translation: (1) whether the FLASH effect can be achieved on synchrotron-based proton systems, which deliver protons in discrete spills that may be insufficient to cover a clinical target within a single delivery, and (2) which dose-rate metric, among the multiple definitions currently used in the field, best predicts the biological FLASH effect. MethodsC57BL/6 mice (7-8 weeks) received 10 Gy whole-brain RT via a clinical Hitachi ProBEAT synchrotron with CBCT-guided delivery, using three transmission-beam techniques: single-spill pencil beam scanning (SS PBS), multi-spill PBS with [~]2-second inter-spot delay (MS PBS), and passive scatter (PS), compared to conventional (CONV) delivery and unirradiated controls (n=24-28/group, equal sex distribution). Dose rate was quantified using three frameworks: field dose rate (FDR), PBS dose rate (PBSDR), and dose-averaged dose rate (DADR). Recognition memory was assessed by novel object recognition (NOR) at 6 weeks post-RT, and cognitive flexibility was assessed via touchscreen visual discrimination and reversal learning at 14 weeks. Hippocampal neuroinflammation was evaluated by immunofluorescence and immunohistochemistry for Iba1, NeuN, and GFAP. ResultsFLASH conditions were met by SS PBS and PS under all three dose-rate definitions, but MS PBS qualified as FLASH only by DADR. Despite this, neuroprotection was preserved across all three FLASH techniques: discrimination index was significantly higher for SS PBS (P=0.021), MS PBS (P=0.008), and PS (P<0.001) versus CONV, with no significant difference between FLASH techniques. On touchscreen testing, FLASH-treated females demonstrated preserved cognitive flexibility (P=0.047 vs. CONV on reversal learning correct trials). Iba1+ microglia were reduced in FLASH compared to CONV mice, with morphology suggestive of preserved homeostatic state. ConclusionsSynchrotron-based proton FLASH preserves neurocognitive function across all delivery techniques, including under multi-spill delivery essential for treating clinical-scale pediatric brain tumors. Critically, this neuroprotection was observed even for deliveries that qualified as FLASH only by DADR, identifying DADR as the dose-rate metric most relevant to the biological FLASH effect with direct implications for clinical trial design and dose-rate reporting standards.

cancer biology↗

bioRxiv2026

Ultra-long stable biomimetic nanoparticle Click-ed-to-cancer membrane for anti-cancer treatment

Cancer cell membrane coated biomimetic nanoparticles have been shown to be highly efficient in cellular uptake, homotypic tumour targeting, and the ability to suppress tumour growth compared to uncoated nanoparticles. Long duration anti-cancer treatment regimens require highly stable cancer cell membrane coated biomimetic nanoparticle. To manufacture such highly stable cancer cell membrane coated biomimetic nanoparticle, we used "Click-chemistry" to encapsulate cancer cell membrane on nanoparticles. In situ characterization was done to confirm the functionality of the novel Click-chemistry based formulation to encapsulate cancer cell membrane on nanoparticles. Gold nanoparticles were encapsulated with the cell membranes of cell lines of lung adenocarcinoma, malignant melanoma, high-grade serous epithelial ovarian cancer, colorectal cancer, oral cancer, esophageal adenocarcinoma, adenoid cystic carcinoma of salivary gland, and breast cancer. Functional group analysis, size, morphology, and surface charge confirmed long-stability of the biomimetic nanoparticles after incubating in complete growth medium for 12-months.

bioengineering↗

bioRxiv2026

Functionalized nanoparticle transforms cold to hot adenoid cystic carcinoma of salivary gland tumour microenvironment in vitro

Adenoid cystic carcinoma (ACC) of salivary gland is a "immune-cold" tumour. Annexin A3 (ANXA3) is an apoptotic protein found to be participating in immune cell infiltration in tumour microenvironment (TME) of various cancer cases. Significant low expressions of ANXA3 protein found in adenoid cystic carcinoma. We hypothesized overexpressing ANXA3 transforms ACC "cold" TME to "hot". We cultured UM-HACC-2A and UFH2 spheroids on extracellular matrix and co cultured them with peripheral blood mononuclear cells. We functionalized FDA (The Food and Drug Administration) approved Poly(lactic-co-glycolic acid) PLGA nanoparticles with anti-cMyb antibody and ANXA3 recombinant protein using streptavidin-biotin conjugation. Upon overexpressing ANXA3 in ACC spheroids in immune coculture model using functionalized nanoparticles, significant increase of tumour infiltrating lymphocytes and decrease in the size of the ACC spheroids observed. Apoptotic profiler assay further confirmed significant upregulation of apoptotic proteins, some of them participate in immune infiltration. Overall, this project exhibits promising results showing potential approach to convert ACC into an immune "hot" tumour.

cancer biology↗

bioRxiv2026

Large scale antibiotic-phage synergy studies reveal key combinations for urinary tract infection and urosepsis treatments

The growing problem of AMR infections in healthcare has prompted the search for alternative treatments, with increasing interest in bacteriophages. However, most bacteriophage-antibiotic interactions are incompletely understood, and the benefits of combining them remains context dependent. In this study, we screened thousands of phage-antibiotic combinations to assess interaction outcomes in clinical E. coli and K. pneumoniae isolates. By integrating bacteriophages into an existing, scalable clinical MIC determination platform, we identified shifts in antibiotic MIC and susceptibility, revealing patterns of additivity and antagonism. Overall, interactions showed a species-specific profile; additive interactions predominated, particularly for E. coli. Hierarchical clustering highlighted frequent positive interactions between {beta}-lactams and Tequatroviruses. Notably, closely related phages sometimes displayed divergent phenotypes, indicating that interaction outcomes cannot be inferred solely from taxonomic relatedness or genomic similarity. Taken together, these results establish a foundation for rational, evidence-based development of phage-antibiotic therapies to restore and broaden treatment options against multidrug-resistant infections.

microbiology↗

bioRxiv2025

Force Scaling in Active Swarm of Microtubules via Magnetic Manipulation

Scalability refers to the ability of a system to enhance performance with increasing size. This ability is a defining feature of natural swarms such as ant and bee colonies. Extending this principle to artificial active matter has motivated the creation of molecular swarms composed of myosin-driven actin filaments and kinesin-driven microtubules (MTs). While these swarms exhibit cooperative transport behaviors that surpass the abilities of individual filaments, their collective force generation has remained unquantified. Here, we introduce a straightforward electromagnetic tweezer approach to directly measure the forces generated by MT swarms propelled by surface-bound kinesin motors. We find that force output changes with swarm size, demonstrating quantitative scalability and linking collective organization to mechanical performance. These results establish MT swarms as a model system for scalable, force-producing active matter and provide a foundation for designing biomolecular devices that exploit collective dynamics for microscale actuation and transport. Significance StatementThe cooperative activity of multiple motile agents is observed in nature, known as swarming. In artificial systems, swarming has been demonstrated using active agents like kinesin and MTs, successfully enabling efficient cargo transportation. However, the force generated by the swarm remains unexplored, which is one of the keys to understanding the principles underlying swarm systems. This study introduces a simple method employing electromagnetic tweezers and magnetic beads to measure the force of the MT swarm accurately. The measured forces within the microtubule swarms of different sizes unveil the scaling effect, the additive nature of force generation as the kinesin unit increases. The force study sheds light on the fundamental properties, work performance, efficiency, and execution of the MT swarm.

biophysics↗

bioRxiv2025

Tau-Driven Coordination of Microtubule-Actin Crosstalk in Cell-Sized Vesicles

The coordination of microtubules (MTs) and actin filaments is essential for cytoskeletal organization, yet the factors that affect their integration remain unclear. Here, we reconstitute cytoskeletal networks in giant unilamellar vesicles to characterize MT-actin crosstalk mediated by tau, a microtubule-associated protein. We show that tau promotes the organization of MTs into diverse architectures, including bundles, clusters, and networks, depending on its concentration and vesicle size. In vitro assays confirm that while tau binds and bundles MTs, it does not directly bundle actin. However, tau facilitates MT-actin colocalization in the presence of actin crosslinkers with distinct properties. Fascin, which forms rigid actin bundles, significantly enhances MT-actin colocalization with tau, whereas -actinin, which forms flexible actin bundles, induces colocalization in vesicles but not in bulk conditions. By combining cellular reconstitution and coarse-grained simulations of composite network assembly in both vesicles and bulk conditions, our findings reveal how tau-mediated cytoskeletal integration is governed by bundle mechanics and spatial confinement, providing insights into cytoskeletal organization within reconstituted synthetic cell-like systems.

biophysics↗

bioRxiv2025

Microglial SWELL1 Deficiency Drives Male-Specific Seizure Vulnerability but Paradoxical Neuroprotection through Impaired Phagocytosis

The discovery of genes encoding the volume-regulated anion channel (VRAC) has enabled detailed exploration of its cell type-specific roles in the brain. LRRC8A (SWELL1) is the essential VRAC subunit. We observed seizure-induced, subunit-specific changes in microglial VRAC expression and investigated its function using conditional knockout (cKO) of LRRC8A in microglia. SWELL1 cKO mice exhibited a male-specific increase in kainate-induced seizure severity yet showed paradoxical neuroprotection against seizure-associated neuronal loss. Mechanistically, SWELL1 deletion led to a cell-autonomous reduction in microglial density and decreased release of VRAC-permeable neuroactive metabolites, including taurine, GABA, and glutamate in culture. Additionally, impaired phagocytic kinetics and reduced lysosomal biogenesis contributed to the observed neuroprotection. These findings reveal novel roles for microglial VRAC in regulating seizure outcomes and microglia-neuron interactions.

neuroscience↗

bioRxiv2024

Light-triggered protease-mediated release of actin-bound cargo from synthetic cells

Synthetic cells offer a versatile platform for addressing biomedical and environmental challenges, due to their modular design and capability to mimic cellular processes such as biosensing, intercellular communication, and metabolism. Constructing synthetic cells capable of stimuli-responsive secretion is vital for applications in targeted drug delivery and biosensor development. Previous attempts at engineering secretion for synthetic cells have been confined to non-specific cargo release via membrane pores, limiting the spatiotemporal precision and specificity necessary for selective secretion. Here, we designed and constructed a protein-based platform termed TEV Protease-mediated Releasable Actin-binding protein (TRAP) for selective, rapid, and triggerable secretion in synthetic cells. TRAP is designed to bind tightly to reconstituted actin networks and is proteolytically released from bound actin, followed by secretion via cell-penetrating peptide membrane translocation. We demonstrated TRAPs efficacy in facilitating light-activated secretion of both fluorescent and luminescent proteins. By equipping synthetic cells with a controlled secretion mechanism, TRAP paves the way for the development of stimuli-responsive biomaterials, versatile synthetic cell-based biosensing systems, and therapeutic applications through the integration of synthetic cells with living cells for targeted delivery of protein therapeutics.

synthetic biology↗

bioRxiv2024

Agar concentration affects the evolution of antibiotic resistance and population genomics in experimental populations Pseudomonas aeruginosa

Bacteria live in a diversity of spatially structured environments, which can impact their evolutionary dynamics via local interactions and environmental variation. Spatial structure is expected to slow the rate of adaptive evolution, increase the amount of clonal competition and so increase diversity of evolutionary trajectories explored as a population evolves. In the lab, agar is a common way in which we add spatial structure to bacterial growth environments. In this study we explored the effects of agar concertation on experimental populations of Pseudomonas aeruginosa evolved in the presence/ absence of a sub-lethal concentration of an antibiotic, ciprofloxacin. We varied agar across four different concentrations which modified viscosity and so the rate at which bacteria move through their environment, as well as potentially shifting the mode of motility. We saw that increasing agar concentration decreased the rate of adaptation, and that the presence of antibiotics, amplified this effect. The number and frequency of evolved mutations also varied with agar concentration and the direction of the effect changed in the presence/ absence of antibiotics - for example, the number of high frequency mutation increased with agar concentration when antibiotics were absent but decreased when antibiotics were present. We also saw an increase in the degree of parallel evolution in populations evolved in the presence of antibiotics and even more so in higher concentrations of agar. Thus, we show that agar concentration, and so spatial structure, can be an important driver of evolutionary dynamics with important impacts on antibiotic resistance evolution including the rate and predictability of adaptation.

evolutionary biology↗

bioRxiv2023

Conserved and derived expression patterns and positive selection on dental genes reveal complex evolutionary context of ever-growing rodent molars

Continuously growing teeth are an important innovation in mammalian evolution, yet genetic regulation of continuous growth by stem cells remains incompletely understood. Dental stem cells responsible for tooth crown growth are lost at the onset of tooth root formation. Genetic signaling that initiates this loss is difficult to study with the ever-growing incisor and rooted molars of mice, the most common mammalian dental model species, because signals for root formation overlap with signals that pattern tooth size and shape (i.e., cusp patterns). Different species of voles (Cricetidae, Rodentia, Glires) have evolved rooted and unrooted molars that have similar size and shape, providing alternative models for studying roots. We assembled a de novo genome of Myodes glareolus, a vole with high-crowned, rooted molars, and performed genomic and transcriptomic analyses in a broad phylogenetic context of Glires (rodents and lagomorphs) to assess differential selection and evolution in tooth forming genes. We identified 15 dental genes with changing synteny relationships and six dental genes undergoing positive selection across Glires, two of which were undergoing positive selection in species with unrooted molars, Dspp and Aqp1. Decreased expression of both genes in prairie voles with unrooted molars compared to bank voles supports the presence of positive selection and may underlie differences in root formation. Bulk transcriptomics analyses of embryonic molar development in bank voles also demonstrated conserved patterns of dental gene expression compared to mice, with species-specific variation likely related to developmental timing and morphological differences between mouse and vole molars. Our results support ongoing evolution of dental genes across Glires, revealing the complex evolutionary background of convergent evolution for ever-growing molars.

evolutionary biology↗

bioRxiv2023

Astrocytic L-lactate signaling in the anterior cingulate cortex is essential for schema memory and neuronal mitochondrial biogenesis

Astrocyte-derived L-lactate was shown to confer beneficial effects on synaptic plasticity and cognitive functions. However, how astrocytic Gi signaling in the anterior cingulate cortex (ACC) modulates L-lactate levels and schema memory is not clear. Here, using chemogenetic approach and well-established behavioral paradigm, we demonstrate that astrocytic Gi pathway activation in ACC causes significant impairment in flavor-place paired associates (PA) learning, schema formation, and PA memory retrieval in rats. It also impairs new PA learning even if a prior associative schema exists. These impairments were mediated by decreased L-lactate in ACC due to astrocytic Gi activation. Concurrent exogenous L-lactate administration bilaterally into the ACC rescues these impairments. Furthermore, we show that the impaired schema memory formation was associated with a decreased neuronal mitochondrial biogenesis caused by decreased L-lactate level in ACC upon Gi activation. Our study also reveals that L-lactate mediated mitochondrial biogenesis is dependent on monocarboxylate transporter 2 and NMDA receptor activity - discovering a previously unrecognized signaling role of L-lactate. These findings expand our understanding of the role of astrocytes and L-lactate in brain functions.

neuroscience↗

bioRxiv2021

Spatial structure affects evolutionary dynamics and drives genomic diversity in experimental populations of Pseudomonas fluorescens

Most populations live in spatially structured environments and that structure has the potential to impact the evolutionary dynamics in a number of important ways. Theoretical models tracking evolution in structured environments using a range of different approaches, suggest that local interactions and spatial heterogeneity can increase the adaptive benefits of motility, impact both the rate and extent of adaptation, and increase the probability of parallel evolution. We test these general predictions in a microbial evolution experiment tracking phenotypic and genomic changes in replicate populations of Pseudomonas fluorescens evolved in both well-mixed and spatially-structured environments, where spatial structure was generated through the addition of semi-solid agar. In contrast to the well-mixed environment, populations evolved in the spatially-structured environment adapted more slowly, retained the ability to disperse more rapidly, and had a greater putatively neutral population genomic diversity. The degree of parallel evolution measured at the gene-level, did not differ across these two types of experimental environments, perhaps because the populations had not evolved for long enough to near their fitness optima. These results confirm important general impacts of spatial structure on evolutionary dynamics at both the phenotypic and genomic level.

evolutionary biology↗

bioRxiv2020

Analysis of selection methods to develop novel phage therapy cocktails against antimicrobial resistant clinical isolates of bacteria

Antimicrobial resistance (AMR) is a major problem globally. The main bacterial organisms associated with urinary tract infection (UTI) associated sepsis are E. coli and Klebsiella along with Enterobacter species. These all have AMR strains known as ESBL (Extended Spectrum Beta-Lactamase), which are featured on the WHO priority pathogens list as critical for research. Bacteriophages (phages) as viruses that can infect and kill bacteria, could provide an effective tool to tackle these AMR strains. There is currently no gold standard for developing a phage cocktail. Here we describe a novel approach to develop an effective phage cocktail against a set of ESBL-producing E. coli and Klebsiella largely isolated from patients in UK hospitals. By comparing different measures of phage efficacy, we show which are the most robust, and suggest an efficient screening cascade that could be used to develop phage cocktails to target other AMR bacterial species. A target panel of 38 ESBL-producing clinical strains isolated from urine samples was collated and used to test phage efficacy. After an initial screening of 68 phages, six were identified and tested against these 38 strains to determine their clinical coverage and killing efficiency. To achieve this, we assessed four different methods to assess phage virulence across these bacterial isolates. These were the Direct Spot Test (DST), the Efficiency of Plating (EOP) assay, the planktonic killing assay and the biofilm assay. The final ESBL cocktail of six phages could effectively kill 23/38 strains (61%) for Klebsiella 13/19 (68%) and for E. coli 10/19 (53%) based on the planktonic killing assay data. The ESBL E. coli collection had six isolates from the prevalent UTI-associated ST131 sequence type, five of which were targeted effectively by the final cocktail. Of the four methods used to assess phage virulence, the data suggests that planktonic killing assays are as effective as the much more time-consuming EOPs and data for the two assays correlates well. This suggests that planktonic killing is a good proxy to determine which phages should be used in a cocktail. This assay when combined with the virulence index also allows phage synergy to inform cocktail design.

microbiology↗

bioRxiv2020

Disease modeling with human neurons reveals LMNB1 dysregulation underlying DYT1 dystonia

DYT1 dystonia is a hereditary neurological disease caused by a heterozygous mutation in torsin A (TOR1A). While animal models provide insights into disease mechanisms, significant species-dependent differences exist since mice with the identical heterozygous mutation fail to show pathology. Here, we model DYT1 by using human patient-derived motor neurons. These neurons with the heterozygous TOR1A mutation show markedly thickened nuclear lamina, disrupted nuclear morphology, and impaired nucleocytoplasmic transport, whereas they lack the perinuclear "blebs" that are often observed in animal models. Importantly, we further uncover that the nuclear lamina protein LMNB1 is specifically dysregulated in expression and subcellular localization. LMNB1 downregulation can largely ameliorate all the cellular defects in DYT1 motor neurons. These results reveal the value of disease modeling with human neurons and provide novel molecular mechanisms underlying DYT1 dystonia and potentially other neurological diseases with impaired nucleocytoplasmic transport.

neuroscience↗