Biology subjects

Ramanathan, S.

Publications and source records attributed to Ramanathan, S..

At least 19 recordsLinked to original sources

bioRxiv2026

A strong-to-weak interaction shift during microbiome succession is coupled to colonizer-dependent antimicrobial resistance

The outcome of ecological succession is often attributed to the characteristics of the invader or the resident community, but rarely to how the community's interaction network reorganizes during assembly. Here, we track intraspecific lineage dynamics and infer time-resolved community interaction networks using Dynamic Covariance Mapping during ecological invasion of the mouse gut by a chromosomally barcoded, spectinomycin-resistant Escherichia coli K12 colonizer. The network is initially dominated by strong, predominantly inhibitory interactions, but as community diversity recovers, the distribution of interaction strengths contracts toward zero, producing a community increasingly dominated by weak and near-neutral interactions. The dominant eigenvalue of the DCM-inferred interaction matrix moves toward marginal stability predicted for dynamically assembling ecological networks. This pattern replicates across eight independent mice in two experimental cohorts, at both inter- and intra-species resolution. The ecological transition coincides with the reproducible resurgence of Paenibacillaceae to high relative abundance and persistent coexistence with E. coli under continued spectinomycin pressure. Whole-genome sequencing of recovered Paenibacillus macerans isolates identifies recurrent mutations in ribosomal protein S5 region associated with spectinomycin binding and strongly implicating this variant in resistance. Strikingly, under antibiotic pressure but without E. coli K12 invasion, resident Paenibacillaceae never blooms, indicating that expansion of the resistant population depends on the ecological context established by the colonizer. These findings show that gut microbiome succession is accompanied by a reproducible transition from strong toward weak interactions and link this network reorganization to the colonizer-dependent ecological benefit of antimicrobial resistance.

ecology↗

bioRxiv2026

Trans-presentation of IL-15 by IL15Rα attenuates tumor immune surveillance and is dispensable for IL-15-dependent tumor growth control

BackgroundIL-15 is a promising cytokine for cancer immunotherapy. IL-15 promotes differentiation and homeostasis of innate and adaptive immune cells, and their cytolytic effector functions. IL-15 receptor is composed of IL-15R, IL-15R{beta} and the common {gamma}c chains. IL-15 is also trans-presented as IL-15R:IL-15 complex to IL-15R{beta}:{gamma}c on neighboring cells. IL-15R is dispensable for early immune response to infections and in autoimmune diabetes. The role of IL-15R in antitumor immune responses remains unclear. MethodsIn WT, Il15-/- and Il15ra-/- mice, we studied the growth of syngeneic tumor cell lines and tumor immune surveillance against endogenous fibrosarcoma induced by methylcholanthrene (MCA). Immune gene signature and total proteome analysis were performed on MCA-induced tumors. ResultsLack of IL-15 or IL-15R did not enhance the growth of implanted tumor cell lines, despite reduced immune cell infiltration. MCA-induced tumor incidence was reduced in mice lacking IL-15R but not IL-15, although both are required for efficient tumor immunoediting. Il15-/- and Il15ra-/- tumors showed reduced Ifng expression but displayed differential modulation of Ifng-responsive genes. Proteome profiles of Il15-/- tumors, but not tumor-derived cell lines, showed significant reduction of antigen presentation pathways. B16-F10 melanoma cells expressing NLRC5, the IFN{gamma}-induced transcriptional activator of tumor antigen presentation, still required IL-15 but not IL-15R for efficient tumor control. ConclusionsOur findings show that IL-15 plays a negligible role in immunosurveillance against spontaneous tumor development, whereas IL-15R restrains immunosurveillance. Neither IL-15 nor IL-15R have a significant impact on implanted tumor models, although IL-15 facilitates efficient control of highly immunogenic tumors for which IL-15R is dispensable.

immunology↗

bioRxiv2026

SOCS1 expression in prostate epithelial cells is essential for tissue homeostasis and tumor suppression

Suppressor of cytokine signaling 1 (SOCS1) negative regulates inflammatory cytokine production and attenuates oncogenic growth factor signaling pathways. Reduced SOCS1 protein expression in human prostate cancer correlates with greater disease severity. To define the physiological functions of SOCS1 functions in the prostate, we conditionally ablated Socs1 in prostate epithelial cells of C57BL/6 mice. These Socs1{Delta}PE mice exhibited normal prostate development, maturation and lobular architecture. However, adult Socs1{Delta}PEmice developed progressive epithelial hyperplasia and inflammatory cell infiltration that were temporally and spatially distinct. SOCS1-deficient prostate showed increased epithelial cell proliferation and elevated oxidative stress markers, and prostate organoids recapitulated this hyperplasia phenotype. Diet-induced obesity exacerbated both hyperplasia and inflammation in SOCS1-deficient prostate. Upon transurethral infection with uropathogenic Escherichia coli UPEC1677 expressing the genotoxin colibactin, Socs1{Delta}PE mice developed invasive prostate cancer with complete loss of lobular architecture, whereas control mice developed hyperplasia and pre-neoplastic lesions. In vitro, SOCS1-deficient prostate organoid-derived epithelial cells exhibited increased DNA damage following exposure to UPEC1677. Deletion of the colibactin biosynthetic gene clbP in UPEC1677 abolished its ability to induce DNA damage in SOCS1-deficient cells and to drive prostate cancer in vivo. Proteomic analysis of prostate organoids revealed dysregulation of basal and luminal epithelial lineage markers and signaling pathway proteins that could promote neoplasia in SOCS1-deficient cells. Collectively, these findings establish an essential, epithelial cell-intrinsic role for SOCS1 in maintaining prostate tissue homeostasis by restraining proliferation, regulating lineage plasticity, limiting inflammation and oxidative stress, and conferring protection against genotoxic injury and neoplastic transformation.

cancer biology↗

bioRxiv2025

NLRC5 expression in tumor cells is critical to activate adaptive and innate antitumor immune responses

Tumors evade cytotoxic T lymphocyte (CTL)-mediated killing by downregulating MHC class-I, mainly resulting from the loss of its transcriptional activator NLRC5. Expressing full-length NLRC5 (NLRC5-FL) or a shorter NLRC5-CIITA fusion protein termed NLRC5 super-activator (NLRC5-SA) in cancer cells upregulates MHC-I expression and promotes antitumor immunity. To distinguish the role of NLRC5 expressed within tumor cells and antigen presenting cells, we studied B16-F10 melanoma expressing NLRC5-FL (B16-N-FL) or NLRC5-SA (B16-N-SA) in Nlrc5+/+ and Nlrc5-/- mice. Both tumors were efficiently controlled in both Nlrc5+/+ and Nlrc5-/- hosts with abundant immune cell infiltration, enriched for activated and differentiated CD8+ and CD4+ T cells, NK, NKT and iNKT cells. B16-N-FL and B16-N-SA tumors showed increased collagen deposition and vascularization, with upregulation of CCL4 and CXCL9 chemokine genes in B16-N-SA tumors. Depletion of either CD8+ T cells or NK1.1+ cells increased the growth of B16-N-FL and B16-N-SA tumors in Nlrc5+/+ mice, and that of B16-N-SA tumors in Nlrc5-/- hosts. Proteomes of B16-N-FL and B16-N-SA cells showed downmodulation of dominant tumor antigens and upregulation of ubiquitination and protein processing pathway proteins. Differentially expressed proteins shared between B16-N-FL and B16-N-SA cells showed enrichment in phagosome and autophagy pathways. We conclude that tumor cell-intrinsic NLRC5 expression is critical for the activation of adaptive and innate immune cells, and establishment of an immune-supportive tumor microenvironment to permit immune cell infiltration and their effector functions and achieve tumor control. NLRC5 expression in APCs is dispensable to mediate these effects. Delivering NLRC5-SA is a promising approach to restore antitumor immune responses in MHC-I-low immune evasive tumors. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=134 SRC="FIGDIR/small/695247v1_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@1bc4f51org.highwire.dtl.DTLVardef@1fb5b03org.highwire.dtl.DTLVardef@11448edorg.highwire.dtl.DTLVardef@bff26c_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2025

Arrayed single-gene perturbations identify drivers of human anterior neural tube closure

Genetic studies of human embryonic morphogenesis are constrained by ethical and practical challenges, restricting insights into developmental mechanisms and disorders. Human pluripotent stem cell (hPSC)-derived organoids provide a powerful alternative for the study of embryonic morphogenesis. However, screening for genetic drivers of morphogenesis in vitro has been infeasible due to organoid variability and the high costs of performing scaled tissue-wide single-gene perturbations. By overcoming both these limitations, we developed a platform that integrates reproducible organoid morphogenesis with uniform single-gene perturbations, enabling high-throughput arrayed CRISPR interference (CRISPRi) screening in hPSC-derived organoids. To demonstrate the power of this platform, we screened 77 transcription factors in an organoid model of anterior neurulation to identify ZIC2, SOX11, and ZNF521 as essential regulators of neural tube closure. We discovered that ZIC2 and SOX11 are required for closure, while ZNF521 prevents ectopic closure points. Single-cell transcriptomic analysis of perturbed organoids revealed co-regulated gene targets of ZIC2 and SOX11 and an opposing role for ZNF521, suggesting that these transcription factors jointly govern a gene regulatory program driving neural tube closure in the anterior forebrain region. Our single-gene perturbation platform enables high-throughput genetic screening of in vitro models of human embryonic morphogenesis.

developmental biology↗

bioRxiv2025

Molecular Insights into Long COVID: Plasma Proteomics Reveals Oxidative Stress, Coagulation Cascade Activation, and Glycolytic Imbalance

Persistent symptoms following SARS-CoV-2 infection are the hallmark of post-COVID condition (PCC), also referred to as long COVID. However, our knowledge is limited on the underlying molecular mechanisms. In this study, we performed data-independent acquisition mass spectrometry plasma proteomics (DIA-MS) to identify molecular alterations associated with PCC. DIA-MS proteomic analysis revealed a few proteins linked to oxidative stress that had altered expression. Notably, PCC samples exhibited downregulation of the antioxidant protein peroxiredoxin 6 (PRDX6) and upregulation of oxidative stress-associated proteins particularly vanin-1 (VNN1) and paraoxonase-3 (PON3). Additionally, the PCC group showed significantly higher levels of six proteins (PCSK9, CST3, C1Q, CPB2, KNG1 GAPDH), which were linked to pathways involving glycolysis, complement and coagulation cascades, and inflammation. Oxidative stress analysis confirmed that PCC samples had significantly higher levels of DNA damage (8-OHdG) than the convalescent group, whereas antioxidant markers, such as reduced and oxidized glutathione (GSH and GSSG), were significantly lower in PCC samples than in uninfected controls. Our observations point towards ongoing oxidative and inflammatory processes in PCC and suggest potential targets for biomarker development and therapeutic intervention.

immunology↗

bioRxiv2025

Essential role of NLRC5 in cancer immune surveillance and cancer immunoediting

A key mechanism of immune escape from CD8+ T cell-mediated tumor control occurs via downregulation of NLRC5, the IFN{gamma}-induced transcriptional activator of MHC class-I. As NLRC5 deficiency does not abrogate CD8+ T cell development, we investigated whether NLRC5-dependent antitumor immune mechanisms are required for immune surveillance. Development of 3-methylcholanthrene (MCA)-induced endogenous fibrosarcoma was studied in Nlrc5-/- mice with Nlrc5+/+ and Rag1-/- mice serving as controls. Nlrc5-/- and Rag1-/- mice showed increased propensity to develop MCA-induced tumors with elevated growth rate compared to Nlrc5+/+ mice, and displayed significantly reduced survival. Tumors from Nlrc5+/+ and Nlrc5-/-mice, but not from Rag1-/- mice, contained necrotic areas and displayed T cell infiltration. Tumor cell lines established from MCA- induced tumors were evaluated for their sensitivity to immune-mediated growth control following implantation into immunocompetent C57BL/6 and immunodeficient Rag1-/- hosts. Tumors formed by Nlrc5+/+ tumor cell lines progressed unhindered in C57BL/6 hosts that reflected their immunoedited status, whereas cell lines from Nlrc5-/- and Rag1-/-tumors were efficiently controlled, indicating their non-immunoedited status. Proteomic analysis by mass spectrometry followed by pathway analysis revealed enrichment of granzyme-mediated cytolytic pathway in Nlrc5+/+ tumors that were absent in Nlrc5-/- tumors, which showed enrichment of humoral and innate immune pathways. Overall, our findings show that NLRC5 is required for robust tumor immune surveillance and tumor immunoediting and that compensatory humoral and innate immune mechanisms activated by the loss of NLRC5 are insufficient for cancer immune surveillance and cancer immunoediting.

immunology↗

bioRxiv2025

Permissive central tolerance plus defective peripheral checkpoints licence pathogenic memory B cells in CASPR2-antibody encephalitis

Autoimmunity affects 10% of the population. Within this umbrella, autoantibody-mediated diseases targeting one autoantigen provide a unique opportunity to comprehensively understand the developmental pathway of disease-causing B cells and autoantibodies. While such autoreactivities are believed to be generated during germinal centre reactions, the roles of earlier immune checkpoints in autoantigen-specific B cell tolerance are poorly understood. We address this concept in patients with CASPR2-autoantibody encephalitis and healthy controls. In both groups, comparable and high ([~]0.5%) frequencies of unmutated CASPR2-reactive naive B cells were identified. By contrast, CASPR2-reactive memory B cells were exclusive to patients, and their B cell receptors demonstrated affinity-enhancing somatic mutations with heterogenous binding kinetics. These effector molecules possessed epitope-dependent pathogenic effects in vitro neuronal cultures and in vivo. The unmutated common ancestors of these memory B cells showed a distinctive balance between strong CASPR2 reactivity and very limited binding across the remaining human proteome. Our results are the first to propose mechanisms underlying autoantigen-specific tolerance in humans. We identify permissive central tolerance, defective peripheral tolerance and heterogenous autoantibody binding properties as sequential pathogenic steps which licence CASPR2-directed pathology. By leveraging the basic immunobiology, we rationally direct tolerance-restoring approaches in CASPR2-antibody diseases. This paradigm is applicable across autoimmune conditions.

immunology↗

bioRxiv2024

Morphine-induced hyperalgesia impacts small extracellular vesicle miRNA composition and function

Morphine and other synthetic opioids are widely prescribed to treat pain. Prolonged morphine exposure can paradoxically enhance pain sensitivity in humans and nociceptive behavior in rodents. To better understand the molecular mechanisms underlying opioid-induced hyperalgesia, we investigated changes in miRNA composition of small extracellular vesicles (sEVs) from the serum of mice after a morphine treatment paradigm that induces hyperalgesia. We observed significant differential expression of 18 miRNAs in sEVs from morphine-treated mice of both sexes compared to controls. Several of these miRNAs were bioinformatically predicted to regulate cyclic AMP response element binding protein (CREB), a well-characterized transcription factor implicated in pain and drug addiction. We confirmed the binding and repression of Creb mRNA by miR-155 and miR-10a. We tested if serum-derived sEVs from morphine-treated mice could elicit nociceptive behavior in naive recipient mice. Intrathecal injection of 1 g sEVs did not significantly impact basal mechanical and thermal threshold in naive recipient mice. However, prophylactic 1 g sEV administration in recipient mice resulted in faster resolution of complete Freunds adjuvant-induced mechanical and thermal inflammatory hypersensitivity. Other behaviors assayed following administration of these sEVs were not impacted including sEV conditioned place preference and locomotor sensitization. These results indicate that morphine regulation of serum sEV composition can contribute to analgesia and suggest a potential for sEVs to be a non-opioid therapeutic intervention strategy to treat pain.

neuroscience↗

bioRxiv2024

Entangled and non-modular enhancer sequences producing independent spatial activities

The modularity of transcriptional enhancers (1, 2) is central to our understanding of morphological evolution, as it allows specific changes to a gene expression pattern component, without affecting others (3). Enhancer modularity refers to physically separated stretches of regulatory sequence producing discrete spatiotemporal transcriptional activity. This concept stems mainly from assays that test the sufficiency of a DNA segment (4) to drive spatial reporter expression resembling that of the corresponding gene. Focusing on sufficiency to produce spatial patterns, it overlooks quantitative aspects of gene expression, underestimating the regulatory sequence actually required to reach full endogenous expression levels. Here we show that five regulatory activities of the pigmentation gene yellow in Drosophila, classically described as modular (5-7), result from extensively overlapping sequences, with broadly distributed regulatory information. Nevertheless, the independent regulatory activities of these entangled enhancers appear to be nucleated by specific segments that we called enhancer cores. Our work calls for a reappraisal of enhancer definition and properties, as well as of the consequences on regulatory evolution.

developmental biology↗

bioRxiv2024

Neuron-level prediction and noise can implement flexible reward-seeking behavior

We show that neural networks can implement reward-seeking behavior using only local predictive updates and internal noise. These networks are capable of autonomous interaction with an environment and can switch between explore and exploit behavior, which we show is governed by attractor dynamics. Networks can adapt to changes in their architectures, environments, or motor interfaces without any external control signals. When networks have a choice between different tasks, they can form preferences that depend on patterns of noise and initialization, and we show that these preferences can be biased by network architectures or by changing learning rates. Our algorithm presents a flexible, biologically plausible way of interacting with environments without requiring an explicit environmental reward function, allowing for behavior that is both highly adaptable and autonomous. Code is available at https://github.com/ccli3896/PaN.

neuroscience↗

bioRxiv2024

Endothelial cannabinoid CB1 receptor deficiency reduces arterial inflammation and lipid uptake in response to atheroprone shear stress

BackgroundPeripherally restricted cannabinoid CB1 receptor antagonists without central side effects hold promise for treating metabolic disorders including diabetes and obesity. In atherosclerosis, the specific effects of peripheral CB1 signaling in vascular endothelial cells (ECs) remain incompletely understood. Methods and resultsEndothelial expression of the CB1 encoding gene CNR1 was detectable in human plaque single-cell RNA sequencing data. In situ hybridization of Cnr1 in murine aortas revealed a significantly increased endothelial expression within atheroprone compared to atheroresistant regions. In vitro, CNR1 was upregulated by oscillatory shear stress (OSS) in human aortic endothelial cells (HAoECs). Endothelial CB1 deficiency (Cnr1EC-KO) in female mice on atherogenic background resulted in pronounced endothelial phenotypic changes, with reduced vascular inflammation and permeability. This resulted in attenuated plaque development with reduced lipid content in female mice, while reduced white and brown adipose tissue mass and liver steatosis were observed in both males and females. Ex vivo imaging of carotid arteries via two-photon microscopy revealed less labeled low density lipoprotein (Dil-LDL) uptake in Cnr1EC-KO. This was accompanied by a significant reduction of aortic endothelial caveolin-1 (CAV1) expression, a key structural protein involved in lipid transcytosis, in female Cnr1EC-KO mice. In vitro, pharmacological blocking with CB1 antagonist AM281 reproduced the inhibition of CAV1 expression and Dil-LDL uptake in response to atheroprone OSS in HAoECs, which was dependent on cAMP-mediated PKA activation. Conversely, the CB1 agonist ACEA increased Dil-LDL uptake and CAV1 expression in HAoECs. Finally, treatment of atherosclerotic mice with the peripheral CB1 antagonist JD-5037 reduced plaque progression, CAV1 and endothelial adhesion molecule expression in female mice. ConclusionsThese results confirm an essential role of endothelial CB1 to the pathogenesis of atherosclerosis. Peripheral CB1 antagonists may hold promise as an effective therapeutic strategy for treating atherosclerosis and related metabolic disorders. NOVELTY AND SIGNIFICANCEWhat is known? O_LIEnhanced endocannabinoid-cannabinoid CB1 receptor signaling has been implicated in metabolic disorders, atherosclerosis, and hypertension, but the cell-specific role of endothelial CB1 in atherosclerosis is not well understood. C_LIO_LIGlobal CB1 antagonists improve metabolic function and inhibit atherosclerotic plaque development in mouse models, but have failed in the clinic due to centrally mediated psychiatric side effects. C_LI What is new? O_LIBased on human single-cell RNA sequencing data, CB1 is expressed in human plaque ECs. C_LIO_LIUsing transgenic mouse models and human primary aortic endothelial cells, we provide evidence for a key role of CB1 in endothelial shear stress response, inflammatory gene expression, and LDL uptake. C_LIO_LIThe underlying signaling pathway of CB1-induced endothelial LDL uptake involves a cAMP-PKA-dependent regulation of caveolin 1 (CAV1) expression, a structural protein of the shear stress sensitive signaling domains of the plasma membrane. C_LIO_LIBy limiting endothelial CAV1 and VCAM1 expression, peripherally restricted CB1 antagonists confer atheroprotection in mice. C_LI Our findings reveal that endothelial CB1 expression is induced by atheroprone shear stress responses and contributes to impaired vascular barrier function, inflammation, and lipid uptake, thereby promoting atherosclerotic lesion formation and progression. By elucidating the transcriptomic pathways regulated by endothelial CB1 and its broad influence on lipid uptake and metabolism in arteries, liver, and brown and white adipose tissue, our study provides insights into novel pathways and potential interventions for the treatment of atherosclerosis and metabolic disorders. The use of peripherally restricted CB1 antagonists that specifically target vascular inflammation and tissue lipid storage could be a complementary and safe therapeutic avenue to treat cardiovascular and metabolic disease comorbidities without altering CB1 signaling in the brain.

immunology↗

bioRxiv2024

Compressed sensing based approach identifies modular neural circuitry driving learned pathogen avoidance

An animals survival hinges on its ability to integrate past information to modify future behavior. The nematode C. elegans adapts its behavior based on prior experiences with pathogen exposure, transitioning from attraction to avoidance of the pathogen. A systematic screen for the neural circuits that integrate the information of previous pathogen exposure to modify behavior has not been feasible because of the lack of tools for neuron type specific perturbations. We overcame this challenge using methods based on compressed sensing to efficiently determine the roles of individual neuron types in learned avoidance behavior. Our screen revealed that distinct sets of neurons drive exit from lawns of pathogenic bacteria and prevent lawn re-entry. Using calcium imaging of freely behaving animals and optogenetic perturbations, we determined the neural dynamics that regulate one key behavioral transition after infection: stalled re-entry into bacterial lawns. We find that key neuron types govern pathogen lawn specific stalling but allow the animal to enter nonpathogenic E. coli lawns. Our study shows that learned pathogen avoidance requires coordinated transitions in discrete neural circuits and reveals the modular structure of this complex adaptive behavioral response to infection.

neuroscience↗

bioRxiv2024

Testing a Method for Quantifying Microplastic Content in Mytilus californianus

With the proliferation of microplastics within the environment, there has been an increased need to quantify them within organic tissues of aquatic species. Several studies have examined the potential role of mussels in filtering these contaminants, prompting interest in characterizing uptake and retention of microplastics in these species. There are a variety of methods to isolate and quantify microplastics, including density separation, enzymatic digestion, and filtration. The applicability of a combined digestion and ultrasonic bath methodology in isolating microplastics from the California mussel (Mytilus californianus Conrad, 1837) was investigated. Microplastics were added to 20-gallon tanks at 0 g (control) 8 mg. Mussel tissues from each tank were digested using potassium hydroxide solutions. These digestions were subjected to vacuum filtration and a sonication bath, then treated with a mixture of sodium hypochlorite and nitric acid. It was found that this method successfully removed organic tissue from the mussels while leaving dyed microplastics intact. The latter were quantified using fluorescent microscopy. This proof-of-principle experiment indicates that this technique can be applied to further studies on environmental impact and retention of microplastics in mussels and may also have utility for other shellfish.

zoology↗

bioRxiv2024

Computational analysis of the effect of a binding protein (RbpA) on the dynamics of Mycobacterium tuberculosis RNA polymerase assembly

RNA polymerase-binding protein A (RbpA) is an actinomycetes-specific protein crucial for the growth and survival of the pathogen Mycobacterium tuberculosis. Its role is essential and influences the transcription and antibiotic responses. However, the regulatory mechanisms underlying RbpA-mediated transcription remain unknown. In this study, we employed various computational techniques to investigate the role of RbpA in the formation and dynamics of the RNA polymerase complex. Our analysis reveals significant structural rearrangements in RNA polymerase happen upon interaction with RbpA. Hotspot residues, crucial amino acids in the RbpA-mediated transcriptional regulation, were identified through our examination. The study elucidates the dynamic behavior within the complex, providing insights into the flexibility and functional dynamics of the RbpA-RNA polymerase interaction. Notably, potential allosteric mechanisms, involving the interface of subunits 1 and 2 were uncovered, shedding light on how RbpA modulates transcriptional activity. Finally, potential ligands meant for the 1-2 binding site were identified through virtual screening. The outcomes of our computational study serve as a foundation for experimental investigations into inhibitors targeting the RbpA-regulated dynamics in RNA polymerase. Overall, this research contributes valuable information for understanding the intricate regulatory networks of RbpA in the context of transcription and suggests potential avenues for the development of RbpA-targeted therapeutics. Author SummaryInfection studies by Mycobacterium tuberculosis (Mtb) acquires primary importance due to its severe infection and antibiotic resistance. There is an open need for highly effective drugs and one needs to employ novel approaches such as detailed structural analysis and the possibility to focus on allosteric inhibitors. We have exploited the availability of cryo-EM structures of RNA polymerase of Mtb, with and without its transcription-activator protein namely RNA polymerase-binding protein A (RbpA). In this study, we employed various computational techniques to investigate the role of RbpA in the formation and dynamics of the RNA polymerase complex. The assemblies were subject to molecular dynamics and perturbation scanning, followed by structural comparisons and measurement of subunit interface strength. These analyses could clearly show that subunits, which are far away from the RbpA binding site, undergo differential structural changes. Hence, we focused on the site to recognize potential small molecule inhibitors using virtual screening. These analyses demonstrate that it is possible to perform comparative structural analysis of different forms of assemblies, which can be useful towards drug design.

bioinformatics↗

bioRxiv2023

SARS-CoV-2 spike antigen-specific B cell and antibody responses in pre-vaccination period COVID-19 convalescent males and females with or without post-covid condition

BackgroundFollowing SARS-CoV-2 infection a significant proportion of convalescent individuals develop the post-COVID condition (PCC) that is characterized by wide spectrum of symptoms encompassing various organs. Even though the underlying pathophysiology of PCC is not known, detection of viral transcripts and antigens in tissues other than lungs raise the possibility that PCC may be a consequence of aberrant immune response to the viral antigens. To test this hypothesis, we evaluated B cell and antibody responses to the SARS-CoV-2 antigens in PCC patients who experienced mild COVID-19 disease during the pre-vaccination period of COVID-19 pandemic. MethodsThe study subjects included unvaccinated male and female subjects who developed PCC or not (No-PCC) after clearing RT-PCR confirmed mild COVID-19 infection. SARS-CoV-2 D614G and omicron RBD specific B cell subsets in peripheral circulation were assessed by flow cytometry. IgG, IgG3 and IgA antibody titers toward RBD, spike and nucleocapsid antigens in the plasma were evaluated by ELISA. ResultsThe frequency of the B cells specific to D614G-RBD were comparable in convalescent groups with and without PCC in both males and females. Notably, in females with PCC, the anti-D614G RBD specific double negative (IgD-CD27-) B cells showed significant correlation with the number of symptoms at acute of infection. Anti-spike antibody responses were also higher at 3 months post-infection in females who developed PCC, but not in the male PCC group. On the other hand, the male PCC group also showed consistently high anti-RBD IgG responses compared to all other groups. ConclusionsThe antibody responses to the spike protein, but not the RBD-specific B cell responses diverge between convalescent males and females, and those who develop PCC or not. Our findings suggest that sex-related factors may also be involved in the development of PCC via modulating antibody responses to the SARS-CoV-2 antigens. Short SummaryPost-COVID Condition (PCC) is lingering illness that afflicts a significant proportion of COVID-19 patients from three months after clearing SARS-CoV-2 infection. Therapy for PCC is only palliative and the underlying disease mechanisms are unclear. The wide spectrum of PCC symptoms that can affect different organs and the detection of viral components in tissues distant from lungs raise the possibility that PCC may be associated with aberrant immune response due to presence of viral antigens. Therefore, we studied B cell and antibody responses to the spike and nucleoprotein antigens in PCC patients who cleared mild SARS-CoV-2 infection during the pre-vaccination COVID-19 pandemic period. We observed divergent patterns of immune reactivity to the spike protein in PCC males and females at different times post-infection, suggesting that the immune responses in PCC may also be influenced by sex-related factors.

immunology↗

bioRxiv2022

Intra- and inter-species interactions drive early phases of invasion in mice gut microbiota

The stability and dynamics of ecological communities are dictated by interaction networks typically quantified at the level of species.1-10 But how such networks are influenced by intra-species variation (ISV) is poorly understood.11-14 Here, we use ~500,000 chromosomal barcodes to track high-resolution intra-species clonal lineages of Escherichia coli invading mice gut with the increasing complexity of gut microbiome: germ-free, antibiotic-perturbed, and innate microbiota. By co-clustering the dynamics of intra-species clonal lineages and those of gut bacteria from 16S rRNA profiling, we show the emergence of complex time-dependent interactions between E. coli clones and resident gut bacteria. With a new approach, dynamic covariance mapping (DCM), we differentiate three phases of invasion in susceptible communities: 1) initial loss of community stability as E. coli enters; 2) recolonization of some gut bacteria; and 3) recovery of stability with E. coli coexisting with resident bacteria in a quasi-steady state. Comparison of the dynamics, stability and fitness from experimental replicates and different cohorts suggest that phase 1 is driven by mutations in E. coli before colonization, while phase 3 is by de novo mutations. Our results highlight the transient nature of interaction networks in microbiomes driven by the persistent coupling of ecological and evolutionary dynamics. One-Sentence SummaryHigh-resolution lineage tracking and dynamic covariance mapping (DCM) define three distinct phases during early gut microbiome invasion.

evolutionary biology↗

bioRxiv2022

Integrating artificial and biological neural networks to improve animal task performance using deep reinforcement learning

Artificial neural networks have performed remarkable feats in various domains but lack the flexibility and generalization power of biological neural networks. Given their different capabilities, it would be advantageous to build systems where both network types can synergistically interact. As proof-of-principle, we show how to create such a hybrid system and harness it to improve animal performance on biologically relevant tasks. Using optogenetics, we interfaced the nervous system of the nematode Caenorhabditis elegans with a deep reinforcement learning agent, enabling the animal to navigate to targets and enhancing its food search ability. Agents adapted to strikingly different sites of neural integration and learned site-specific activations to improve performance on a target-finding task. The animal plus agent displayed cooperative computation and generalized to novel environments. This work constitutes a demonstration of how to improve task performance in animals using artificial intelligence interfaced with a nervous system.

neuroscience↗