Biology subjects

Ranganathan, S.

Publications and source records attributed to Ranganathan, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Spatially resolved tumor-microenvironment architecture defines therapeutic response in unresectable hepatoblastoma

Background: Hepatoblastoma exhibits variable therapeutic response that is not fully explained by current risk stratification. While prior studies have characterized tumor composition, the role of spatial organization in determining outcome, particularly in unresectable disease requiring transplantation under immunosuppression, remains unclear. Methods: We integrated spatial transcriptomics using the 10x Genomics Visium platform (n = 11 tumors) with single-cell spatial molecular imaging using NanoString CosMx (n = 3 tumors) on post-chemotherapy explant specimens across clinically defined groups (relapse-prone unresectable, non-relapse unresectable, and resectable hepatoblastoma). Spatial deconvolution, module scoring, spatial co-localization, and cell-cell interaction analyses were used to define region-level transcriptional programs and their underlying cellular organization. Results: We identified three spatial architectures associated with clinical outcome. Relapse-prone tumors exhibited a centralized, TME-dominated organization enriched for progenitor-like, cycling, and stress-responsive tumor cell states co-localized with SPP1+ TAMs and CAFs, with enrichment of hypoxia response, extracellular matrix remodeling, and Midkine (MDK-LRP1) signaling. Non-relapse tumors displayed a distributed architecture with compartmentalized tumor-immune interactions, increased immune engagement, and preserved epithelial differentiation, including inflammatory hepatocyte-like states. Resection samples showed reduced tumor cell state heterogeneity and more uniform TME-immune organization. Conclusions: Integration of regional and single-cell spatial transcriptomics across two platforms reveals that the chemo-remodeled tumor architecture of hepatoblastoma encodes spatially organized tumor cell-TME interactions as central determinants of therapeutic response.

cancer biology↗

bioRxiv2026

Spatial landscape of pretransplant liver disease and post-transplant immune outcomes in children

Defining molecular patterns underlying pediatric end-stage liver disease and its treatment with liver transplantation requires rich datasets spanning a multitude of diagnoses and transplant outcomes. Here, we describe the spatial molecular landscape of approximately five million liver cell profiles from 98 liver tissue samples. The samples span donor liver, used here as a reference tissue, and end-stage diseases including biliary atresia, progressive familial intrahepatic cholestasis, hepatoblastoma, acute liver failure, and gestational alloimmune liver disease. Post-transplant liver allograft biopsies include those without and with T-cell-mediated and antibody-mediated rejection, mixed pathology, and outcome groups from immunosuppression withdrawal studies. Samples were profiled using the CosMx Human Universal Cell Characterization RNA Panel (1K) and the CosMx Human 6K Discovery Panel (6K). Preliminary exploratory analyses include cellular composition and gene abundance and variability across clinical cohorts. A twelve-gene signature comprising the genes with the highest variance implicates acute-phase response genes (e.g., SAA1) and profibrotic genes (e.g., COL1A1) as a shared link across these otherwise distinct conditions. This injury-repair-remodeling gene network warrants further investigation through higher-resolution, zone-specific spatial mapping to help clarify disease pathogenesis.

genomics↗

bioRxiv2026

Atg8 orchestrates stress-responsive chromatin programs across immunity and metabolism

Organisms must coordinate transcriptional responses to immune and metabolic stress, often within the same tissue. In Drosophila and mammals, adipose tissue integrates these signals by mounting antimicrobial defense during acute infection and remodeling lipid metabolism under chronic nutrient surplus. How one cell-biological system supports both functions, and through what molecular machinery, remains incompletely understood. Atg8/LC3, classically defined by canonical autophagy, has emerging non-canonical roles in nuclear gene regulation, raising the possibility that it contributes to stress-coordinated transcription beyond cargo turnover. Using unbiased CUT&RUN in adult Drosophila nuclei, we find that endogenous Atg8 exhibits broad chromatin occupancy at immune, metabolic, and autophagy loci, and accumulates in nuclei under prolonged high-sugar diet (HSD) and acute Gram-positive infection. We identify two conserved Atg8-interacting motifs (AIMs) within the Rel homology domain of NF-{kappa}B/Dif. Flies carrying CRISPR-engineered AIM-mutant Dif are highly susceptible to both infection and chronic HSD, establishing a physiological requirement for intact Dif AIMs. AIM-mutant Dif shows impaired infection-induced nuclear accumulation, suggesting that Atg8 contributes to both Dif cytoplasmic-to-nuclear shuttling and nuclear function. Unbiased comparison of Atg8 chromatin occupancy across HSD and infection further reveals shared and divergent motif grammar, positioning Atg8 as a stress-responsive chromatin cofactor for immune and metabolic transcription. Together, these findings expand the functional landscape of Atg8/LC3 beyond canonical autophagy and reveal that autophagy machinery contributes to stress-specific transcriptional complex assembly. AIM/LIR-mediated interactions, exemplified by Dif, represent one such interface, while additional mechanisms likely underlie Atg8s broader chromatin engagement at loci enriched for transcription factor motifs whose cognate factors lack known AIM/LIRs. We propose that Atg8/LC3-mediated coordination of immune and metabolic transcription is a general principle by which cells integrate diverse stress signals, with implications for obesity, chronic inflammation, and other disease states in which immune and metabolic dysregulation converge. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=107 SRC="FIGDIR/small/727304v2_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@15c056dorg.highwire.dtl.DTLVardef@68493dorg.highwire.dtl.DTLVardef@a07c6corg.highwire.dtl.DTLVardef@4896c6_HPS_FORMAT_FIGEXP M_FIG C_FIG O_LIStress drives Atg8 into nuclei, where it occupies immune and metabolic chromatin. C_LIO_LITwo conserved AIMs in NF-{kappa}B/Dif bind Atg8 and enable Dif nuclear entry. C_LIO_LIAIM-mutant Dif flies are highly susceptible to infection and chronic high-sugar diet. C_LIO_LIAtg8 occupies stress-related motifs on prolonged HSD and acute infection. C_LI

genomics↗

bioRxiv2025

CASPULE: A computational tool to study sticker spacer polymer condensates

Phase separated condensates are recognized as a ubiquitous mechanism of spatial organization in cell biology. Biophysical modeling of condensates provides critical insights into the dynamics and functions of these subcellular structures that are difficult to extract via experiments. Here we present an efficient computational pipeline, CASPULE (Condensate Analysis of Sticker Spacer Polymers Using the LAMMPS Engine), to simulate and analyze the biological condensates made of sticker-spacer polymers. CASPULE implements a unique force field that combines traditional Langevin dynamics with a "detailed-balance proof" protocol for single-valent bond formation between stickers. This framework allows us to study the nontrivial biophysics that emerge from singlevalent sticker interactions, coupled with the effect of separating the energetic contributions of stickers and spacers. We provide detailed documentation on how to setup the simulation environment, perform simulations and analyze the results. Through case studies, we highlight the utility and efficacy of our pipeline. Importantly, we provide statistical parameters to characterize the cluster size distribution often observed in biological systems. We envision this tool to be broadly useful in decoding the interplay of kinetics and thermodynamics underlying the formation and function of biological condensates. Code and documentation: https://caspule.github.io/caspule/ Author SummaryLiving cells contain droplet-like compartments called biomolecular condensates that organize important molecules and reactions without a surrounding membrane. Understanding how these condensates form and behave helps us learn more about healthy cellular function and diseases. Condensate forming biopolymers (proteins and nucleic acids) often contain a sticker spacer architecture that gives rise to interesting emergent properties when they assemble into a condensate. Here we report an easy-to-use computational pipeline, called CASPULE, that allows us to simulate and analyze the condensation of polymer chains. Unlike previous tools, CASPULE models both the physical motion of these molecules and specific bonding interactions between sticker segments. This user-friendly tool will enable researchers to explore the governing principles underlying the formation and function of biomolecular condensates.

biophysics↗

bioRxiv2025

Detection of Orsay viral replication intermediates reveals spatial and regulatory links to Caenorhabditis elegans innate immune responses

Orsay Virus (OV) is a positive-sense, single-stranded RNA (+ssRNA) virus that naturally infects C. elegans intestines. Like other +ssRNA viruses, the OV-encoded RNA-dependent RNA polymerase (oRdRP) synthesizes complementary antigenome for use as template for amplifying viral genome, but OV replication intermediates are underexplored. Using PCR, we observed viral genome in vast excess of antigenome, as for other +ssRNA viruses. Unlike interferon-based antiviral defense, C. elegans utilizes RNA interference (RNAi) for antiviral defense, producing sense and antisense small interfering RNAs (siRNAs) that cannot be distinguished from genome and antigenome with conventional hybridization protocols. Fluorescence-based imaging in C. elegans intestines using probes to antigenomic sequences revealed cytoplasmic as well as perinuclear localization patterns. The latter depended on factors required for generation of primary, but not secondary, siRNAs, connecting the antigenomic hybridization pattern to RNAi. We also observed cytoplasmic double-stranded RNA (dsRNA) associated with oRdRP, suggesting viral replication hubs, as well as infection-induced nuclear dsRNA, likely from endogenous dsRNA. Finally, using antibodies to oRdRP, we observed spherical structures of [~]1{micro}m in diameter with oRdRP at their surface, which decrease in animals lacking RDE-1. Our study defines features of OV replication intermediates, setting the stage for understanding their connection to host antiviral pathways. Significance StatementO_LIOrsay virus is a +ssRNA virus that infects C. elegans intestines. We advance understanding of viral replication intermediates and address the issue that for animals that use antiviral RNA interference, hybridization of probes occurs with both genome and antigenome and small interfering RNAs. C_LIO_LISingle-molecule fluorescence in-situ hybridization using antigenomic probes revealed cytoplasmic and perinuclear puncta, only upon denaturation, with perinuclear signal dependent on primary, but not secondary, siRNA biogenesis. Viral RNA-dependent RNA polymerase lined the perimeter of spherical structures of [~]1{micro}m diameter. C_LIO_LIThis study sets the stage for understanding the relationship between viral replication dynamics and antiviral RNA interference. C_LI

immunology↗

bioRxiv2025

Derivation of Genetically-Defined Murine Hepatoblastoma Cell Lines with Angiogenic Potential

Background/ObjectivesHepatoblastoma (HB) is the most common form of pediatric liver cancer, with the vast majority of these tumors evidence of mutation and/or deregulation of the oncogenic transcription factors {beta}-catenin (B), YAP (Y) and NRF2 (N). HB research has been hampered by a paucity of established cell lines, particularly those bearing these molecular drivers. All combinations of B, Y and N (i.e. BY, BN, YN and BYN) are tumorigenic when over-expressed in murine livers but it has not been possible to establish cell lines from primary tumors. Recently, we found that concurrent Crispr-mediate targeting of the Cdkn2a tumor suppressor locus allows for such immor-talized cell lines to be generated with high fidelity. MethodsWe generated 5 immortalized cell lines from primary Cdkn2a-targeted BN and YN HBs and characterized their properties. Notably, 4 of the 5 retain their ability to grow as subcutaneous or pulmonary tumors in the immune-competent mice from which they originated. Most notably, when maintained under hypoxia conditions for as little as 2 days, BN cells reversibly up-regulated the expression of numerous endothelial cell (EC)-specific genes and ac-quired EC-like properties that benefited tumor growth. ConclusionsThe above approach is currently the only means by which HB cell lines with pre-selected, clinically relevant oncogenic drivers can be generated and the only ones that can be studied in immune-competent mice. Its generic nature should allow HB cell lines with other oncogenic drivers to be derived. A collection of such cell lines will be useful for studying tumor cell-EC trans-differentiation, interactions with the immune environment and drug sensitivities. Simple SummaryMost hepatoblastomas (HB) are associated with aberrant expression of {beta}-catenin (B), YAP (Y) and/or NRF2 (N) transcription factors and can be modeled in mice by over-expressing pairwise of triple combination of these. Virtually no human or murine HB cell lines exist that bear these mutations. We describe here an efficient way to generate cell lines from primary BN and YN tumors. Moreover, one of the BN lines shows a remarkable ability to trans-differentiate into endothelial cells under hypoxic conditions that may facilitate angiogenesis. These cell lines along with previousl-derived BN and BYN lines showed similar sensitivities to drugs commonly used to treat HB. Because the approach for cell line derivation we describe is quite general, it should allow for the generation of additional lines driven by less common factors. A collection of such permanent and well-characterized cell lines will facilitate studies that are difficult or impractical to perform in vivo.

cancer biology↗

bioRxiv2025

Oncogenic Role of Aberrant EZH2 in Hepatoblastoma

Hepatoblastoma (HB) is the most common pediatric liver malignancy. However, its cellular origin and molecular drivers remain poorly defined. Using single-nuclear RNA sequencing (snRNA-seq), we identified a proliferative, hepatocyte-derived tumor cell population (cycling HepT) enriched for Enhancer of Zeste Homolog 2 (EZH2) expression, particularly in the aggressive embryonal subtype. Integrative genomic and transcriptomic profiling confirmed EZH2 overexpression. Disruption of the PRC2 complex was evident through mislocalization and reduced expression of SUZ12, a core component. EZH2 overexpression correlated with upregulation of mitotic regulators such as AURKB and Ki67 in human HB gene expression analysis as compared to background liver. Targeted sequencing identified variants of uncertain significance in EZH2 and SUZ12 in 11 of 11 patient tumors. Pharmacologic inhibition of EZH2 with EPZ-6438 reduced proliferation and sensitized HB cells to cisplatin through gene regulation, potentially modulating platinum accumulation both in vitro and in vivo. In summary, EZH2 promotes HB progression through epigenetic silencing and noncanonical signaling pathways. These findings support EZH2s contribution to HB pathogenesis, therefore identifying it as a novel therapeutic target. STATEMENT OF SIGNIFICANCEEZH2 is enriched in hepatoblastoma, suggesting its role in early tumorigenesis. Its inhibition, combined with cisplatin, produces synergistic anti-tumor effects, supporting EZH2 as both an oncogenic and therapeutic target.

cancer biology↗

bioRxiv2025

PANoptosis, a combination of inflammatory cell death mechanisms, induced 1 by Ophiobolin A in breast cancer cell lines

An unmet challenge in managing breast cancer is treatment failure due to resistance to apoptosis-inducing chemotherapies. Thus, it is important to identify novel non-apoptotic therapeutic agents. Several non-apoptotic programmed cell death pathways utilize specific cellular signaling events to trigger lytic and pro-inflammatory cell death. PANoptosis, which encompasses pyroptosis, apoptosis and necroptosis, is of paramount importance in the regulation of cell death and immune responses. Our study illustrates that ophiobolin A (OpA) is an anti-cancer agent that triggers lytic cell death in breast cancer cells, including triple-negative breast cancer (TNBC), via a mechanism dependent on RIPK1. This study reveals that OpA induces typical pyroptosis-like characteristics, including cellular swelling, plasma membrane rupture, GSDMD cleavage and release of cytokines in breast cancer cells. The involvement of caspase 3, RIPK1, and GSDMD suggests that PANoptosis is activated upon OpA treatment in breast cancer. The induction of pro-inflammatory cell death suggests potential applications for OpA in cancer treatment.

cancer biology↗

bioRxiv2024

More cells, more doublets in highly multiplexed single-cell data

Withdrawal statementThe authors have withdrawn this manuscript. In our initial submission of this paper, we proposed a combinatoric model for the probability of finding doublets in sample-barcoded single-cell RNA-sequencing data. This model predicts a doublet rate higher than the rate included in the documentation for the 10X Flex protocol. This was motivated by our use of doublet-finding software, scDblFinder, on experimental data using the Flex protocol, which identified several times more doublets than we expected based on the documentation. Our original model produced better agreement with the results of scDblFinder in 9 of our own data sets as well as one public dataset made available by 10X. During revisions, however, we performed Monte Carlo simulations of doublet formation that were inconsistent with the results of our model, and much closer to the predictions from the documentation. This prompted us to reanalyse the assumptions of our model. A longer version of this withdrawal statement that explains in detail the errors in the model and includes updated figures is available at https://github.com/Oshlack/flex-doublets, but in brief, our initial assumptions over-predicted the doublet fraction, and our revised model is now consistent with both the Monte Carlo simulations and the predictions from the Flex documentation. We therefore speculate that the unexpectedly high doublet fractions observed in the experimental data might be due to some combination of experimental conditions and software performance. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please ontact the corresponding author.

bioinformatics↗

bioRxiv2024

Gas1-Mediated Suppression of Hepatoblastoma Tumorigenesis

Background and AimsHepatoblastoma (HB), the most common pediatric liver cancer, often dysregulates the Wnt/{beta}-catenin, Hippo and NFE2L2/NRF2 pathways. Pairwise combinations of oncogenically active forms of the terminal transcription factor effectors of these pathways, namely {beta}-catenin (B), YAP (Y) and NRF2 (N) generate HBs in mice, with the triple combination (B+Y+N) being particularly potent. Each tumor group alters the expression of thousands of B-,Y- and N-driven unique and common target genes. Identifying those most responsible for transformation is thus an important question as it might reveal new mechanistic insights and therapeutic opportunities. Approach and ResultsTranscriptional profiling of >60 murine HBs driven by the above oncogenic combinations and different B mutants and in genetic backgrounds that impair tumor growth rates but not initiation has revealed a common set of 22 "BYN genes" that are similarly deregulated in all cases. Many are associated with multiple "Cancer Hallmarks" and their expression levels often correlate with survival in human HBs, hepatocellular carcinomas and other cancers. Among the most down-regulated of these is Gas1, which encodes a Glycosylphosphatidylinositol (GPI)-linked outer membrane protein. We show here that restoring Gas1 expression impairs B+Y+N-driven HB tumor growth in vivo and in HB-derived immortalized cell lines in vitro in a manner than requires membrane anchoring of the protein via its GPI moiety. ConclusionsOur findings implicate Gas1 as a proximal mediator of HB pathogenesis and validate the BYN gene set as one deserving of closer additional scrutiny in future studies.

cancer biology↗

bioRxiv2024

Efficient Derivation of Immortalized, Isogenic Cell Lines from Genetically Defined Murine Hepatoblastomas

Background & AimsMolecularly, hepatoblastoma (HB), the most common childhood liver cancer, is the simplest of all human neoplasms, with the vast majority deregulating the Wnt/{beta}-catenin, Hippo and/or NFE2/NRF2 signaling pathways. Murine HBs can be generated by over-expressing any pairwise or triple combination of mutant forms of these pathways terminal effectors, namely {beta}-catenin (B), YAP (Y) and NFE2L2/NRF (N). Each molecular subtypes displays distinct features resembling those of human HBs. However, research has been hampered by a paucity of established cell lines of any species. MethodsWe show here that immortalized cell lines can be routinely established from murine HBs that over-express B+Y and B+Y+N. This is facilitated by the concurrent in vivo, Crispr-mediated inactivation of the Cdkn2a tumor suppressor locus. ResultsEight BY and 3 BYN cell lines have been generated and characterized and are available to the HB research community. Ten of these lines can be regrown as subcutaneous and metastatic lung tumors in the immuno-competent mice from which they originated while retaining their original histologic features. During maintenance as spheroids in vitro, or during in vivo propagation, tumor cells express endothelial cell markers, particularly in regions that are hypoxic and/or in proximity to incipient blood vessels. ConclusionsThe ability to generate isogenic HB cell lines with defined oncogenic drivers should facilitate studies that are best performed in vitro. The approach may also be useful for deriving HB cell lines associated with less common molecular drivers and from human tumors. SynopsisThe derivation of multiple immortalized murine hepatoblastoma cell lines driven by defined oncogenes is described. These lines are isogenic, retain their tumorigenicity in immuno-competent mice, readily form spheroids and express endothelial markers in response to hypoxia. They will allow studies that have heretofore been difficult or impossible to perform in vivo.

cancer biology↗

bioRxiv2024

A computationally guided approach to improve expression of VHH binders

The variable heavy chain fragments derived from camelid antibodies, called VHHs or nanobodies, have recently shown promise as high-affinity reagents. They offer higher stability compared to conventional antibodies and fragments thereof. Furthermore, their smaller size ([~]15-20 kDa) allows better targeting of molecules localized inside the cell and in crowded environments, like tissues and protein aggregates. Despite these advantages, nanobody clones screened using phage display can suffer from poor soluble expression, which we hypothesized, is due to the presence of hydrophobic hotspots on their surface. In this work, we propose a novel computationally guided workflow for screening and production of nanobody binders for optimized expression. After an initial round of phage display screens against our target (K-Ras), we modeled the lead candidates to generate Spatial Aggregation Propensity (SAP) maps to highlight the hydrophobic hotspots with single amino acid resolution, which were subsequently used to guide mutagenesis of the binders for soluble expression. We followed two approaches to perform point hydrophilic mutations: i) performing point hydrophilic mutations in the hydrophobic hotspots; ii) combining point mutation resulting from a round of random mutagenesis that show favorable SAP scores. Both approaches led a remarkable increase in soluble expression which allowed production and characterization of their binding to their target (K-Ras) on soluble ELISA, and biolayer interferometry. We observed that the latter approach resulted in clones with stronger binding affinity compared to the former approach. Our results emphasize the need to perform a round of random mutagenesis to identify point mutations, which can then be used in an in-silico guided pipeline to identify the right combination of mutations for high soluble expression.

bioengineering↗

bioRxiv2024

Peptide Amphiphiles Hitchhike on Endogenous Biomolecules for Enhanced Cancer Imaging and Therapy

The interactions of nanomaterials with biomolecules in vivo determine their biological fate. Here, we show that self-assembled peptide amphiphile (PA) nanostructures can dynamically interact with endogenous biomolecules and take advantage of naturally occurring processes to target a broad range of solid tumors. In circulation, self-assembled PA nanostructures disassemble and reassemble mainly with lipoproteins, which prolongs blood circulation and dramatically improves tumor accumulation and retention. Mechanistic studies suggested that PAs internalize into cancer cells by assembling with their cell membranes and independently of specific receptors. By exploiting these interactions, a PA developed in this study (namely SA-E) demonstrated specific accumulation in various xenograft, syngeneic, patient-derived xenograft, or transgenic rodent models. In addition, SA-E enabled the effective delivery of highly potent chemotherapy to different syngeneic and xenografted tumors with reduced side effects. With its simple and modular design and universal tumor accumulation mechanism, SA-E represents a promising platform for broad applications in cancer imaging and therapy.

bioengineering↗

bioRxiv2024

A comprehensive map of transient protein-protein interactions and their structural features in the E. coli 1-carbon metabolism pathway

Enzymes in a pathway often form metabolons through weak protein-protein interactions (PPI) that localize and protect labile metabolites. Due to their transient nature, the structural architecture of these enzyme assemblies has largely remained elusive, limiting our abilities to re-engineer novel metabolic pathways. Here we delineate a complete PPI map of 1225 interactions in the E. coli 1-carbon metabolism pathway using bimolecular fluorescence complementation that can capture transient interactions in vivo and show strong intra- and inter-pathway clusters within the folate and purine biosynthesis pathways. Scanning mutagenesis experiments along with AlphaFold predictions and meta-dynamics simulations reveal that most proteins use conserved "dedicated" interfaces distant from their active sites to interact with multiple partners. Diffusion-reaction simulations with shared interaction surfaces and realistic PPI networks reveal a dramatic speedup in metabolic pathway fluxes. Overall, this study sheds light on the fundamental features of metabolon biophysics and structural aspects of transient binary complexes. Significance statementEnzymes from the same metabolic pathway often form dynamic assemblies called metabolons, which channel metabolites as well as protect labile intermediates. Yet very little is known about their structural features or what makes these interactions transient. Paucity of such information has particularly affected our ability to engineer novel metabolic pathways, construct multi-scale mathematical models of cells, etc. We address this by obtaining a comprehensive map for 1225 interaction pairs in the essential 1-carbon metabolism pathway of E. coli. Using both high-throughput experiments and computation, we uncover that metabolon proteins tend to use a conserved dedicated interface to interact with their partners. These results shed light on structural and energetic aspects of PPI in metabolons at near atomic level of resolution.

biophysics↗

bioRxiv2024

Mutation of the peptide-regulated transcription factor ComR for amidated peptide specificity and heterologous function in Lactiplantibacillus plantarum WCFS1

There is a growing interest in the use of probiotic bacteria as biosensors for the detection of disease. However, there is a lack of bacterial receptors developed for specific disease biomarkers. Here, we have investigated the use of the peptide-regulated transcription factor ComR from Streptococcus spp. for specific peptide biomarker detection. ComR exhibits a number of attractive features that are potentially exploitable to create an exquisitely sensitive biomolecular switch for engineered biosensor circuitry within the probiotic organism Lactiplantibacillus plantarum WCFS1. By screening a library of ComR mutant protein variants, we identified mutations that increased the specificity of ComR toward an amidated version of its cognate extracellular signaling peptide, demonstrating the potential for ComR to detect this important class of biomarker.

synthetic biology↗

bioRxiv2023

A Drug-Free Pathogen Capture and Neutralizing Nasal Spray to Prevent Emerging Respiratory Infections

Respiratory infections pose a global health crisis. Vaccines are pathogen specific, and new vaccines are needed for mutants and emerging pathogens. Here, we report a "drug free" prophylactic platform - a "Pathogen Capture and Neutralizing Spray" (PCANS) that acts via a multi-pronged approach to prevent a broad spectrum of respiratory infections. PCANS forms a protective coating in the nasal cavity that enhances the capture of large respiratory droplets. The coating acts as a physical barrier against a broad spectrum of viruses and bacteria, and rapidly neutralizes them, reducing the pathogen load by >99.99%. In mice, PCANS showed nasal retention for at least 8 h and was safe for daily administration. A single prophylactic dose of PCANS protected mice against supra-lethal dosages of a mouse-adapted H1N1 Influenza virus (PR8), reduced lung viral titer by >99.99%, improved survival, and suppressed pathological manifestations. Together, our data suggest PCANS as a promising daily-use prophylactic approach against current and emerging respiratory infections.

bioengineering↗

bioRxiv2023

Enzymatic metabolon improves kinetic efficiency of reaction-limited enzyme pathways

In this work we investigate how spatial proximity of enzymes belonging to the same pathway (metabolon) affects metabolic flux. Using off-lattice Langevin Dynamics (LD) simulations in tandem with a stochastic reaction-diffusion protocol and a semi-analytical reaction-diffusion model, we systematically explored how strength of protein-protein interactions, catalytic efficiency and protein-ligand interactions affect metabolic flux through the metabolon. Formation of a metabolon leads to a greater speed up for longer pathways and especially for reaction-limited enzymes while for fully optimized diffusion-limited enzymes the effect is negligible. Notably, specific cluster architectures are not a prerequisite for enhancing reaction flux. Simulations uncover the crucial role of optimal non-specific protein-ligand interactions in enhancing catalytic efficiency of a metabolon. Our theory implies and bioinformatics analysis confirms that longer catalytic pathways are enriched in less optimal enzymes while most diffusion-limited enzymes populate shorter pathways. Our findings point towards a plausible evolutionary strategy where enzymes compensate for less-than-optimal efficiency by increasing their local concentration in the clustered state.

biophysics↗

bioRxiv2023

Exhaustive benchmarking of de novo assembly methods for eukaryotic genomes

The assembly of reference-quality, chromosome-resolution genomes for both model and novel eukaryotic organisms is an increasingly achievable task for single research teams. However, the overwhelming abundance of sequencing technologies, assembly algorithms, and post-assembly processing tools currently available means that there is no clear consensus on a best-practice computational protocol for eukaryotic de novo genome assembly. Here, we provide a comprehensive benchmark of 28 state-of-the-art assembly and polishing packages, in various combinations, when assembling two eukaryotic genomes using both next-generation (Illumina HiSeq) and third-generation (Oxford Nanopore and PacBio CLR) sequencing data, at both controlled and open levels of sequencing coverage. Recommendations are made for the most effective tools for each sequencing technology and the best performing combinations of methods, evaluated against common assessment metrics such as contiguity, computational performance, gene completeness, and reference reconstruction, across both organisms and across sequencing coverage depth.

bioinformatics↗