Biology subjects

Ganguly, S.

Publications and source records attributed to Ganguly, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Structure-guided antisense-oligonucleotides selectively modulate frameshifting of a human gene

Programmed -1 ribosomal frameshifting (-1 PRF) is a conserved translational recoding mechanism that expands proteomic diversity and regulates gene expression through RNA structural elements, most notably stimulatory pseudoknots. This mechanism is common in viruses, where it is used to control stoichiometry of viral protein products generated by the host cell to direct viral replication. Despite its biological importance, strategies to selectively modulate frameshifting remain limited. The mammalian retrotransposon-derived gene PEG10 also relies on -1 PRF to produce a fusion protein, gag-pol, which is necessary for reproduction but has also been implicated in neurological diseases. Here, we establish an antisense oligonucleotide (ASO) targeting an RNA structural element as an effective approach to tune PEG10 frameshifting. Using structure prediction, systematic antisense tiling across the PEG10 pseudoknot, and multiple model systems, we identify a discrete functional hotspot within the lower RNA stem that governs frameshift efficiency. ASOs targeting this region selectively suppress gag-pol production with minimal impact on gag, thereby shifting the ratio of protein products in a dose-dependent manner. Mechanistic dissection using RNase H-active and -inactive ASO designs, pre-annealed duplexes, and fluorescence-based subcellular localization supports a predominantly nuclear mode of action in which ASOs engage nascent PEG10 transcripts and bias pseudoknot folding away from the frameshift-competent conformation. Functional effects are conserved between human cell lines and murine models, including neurons, highlighting the generality of this strategy. Together, our results define RNA structural dynamics as a druggable layer of translational regulation and establish antisense modulation of pseudoknot folding as a way to control endogenous frameshifting. This work provides a conceptual and practical framework for targeting recoding-dependent gene products such as PEG10 in disease and suggests broader applicability of structure-directed ASOs to viral and cellular frameshifting elements.

biochemistry↗

bioRxiv2026

Urothelial-lineage master transcription factor hub proteomics shows mechanisms impeding urothelial cancer cell differentiation

Urothelial cancer (UC) cells of the luminal subtype exhibit partial, incomplete differentiation towards umbrella cells that line bladder lumen, seen by morphology and gene expression. Differentiation is stalled even though the cells express master transcription factors (MTFs) that drive luminal urothelial differentiation, e.g., FOXA1 and CEBPB, at levels seen in normal differentiated urothelium. We therefore analyzed the FOXA1/CEBPB MTF hub by mass spectrometry. SWI/SNF coactivator complex (CoA) components, e.g., SMARCA4, ARID1A, that read the epigenetic activation mark histone 3 lysine 27 acetylation (H3K27ac) and use ATP-hydrolysis to open chromatin, were the most abundant proteins pulled-down with FOXA1/CEBPB. However, genes for these and other CoA, e.g., CREBBP, EP300 that write H3K27ac, were mutated/deleted in >95% of UCs in clinical series. Also contained in the hub were corepressors (CoR) that erase H3K27ac and close chromatin, e.g., HDAC1, CHD4 - genes for these CoR were recurrently gained in UCs. Chromatin analyses showed H3K27ac-centered remodeling was needed to activate umbrella but not constitutively accessible cell growth/division/housekeeping genes. Restoring ARID1A into ARID1A-mutated UC cells using lentiviral transduction, or inhibiting CoR with siRNA or small molecules, activated umbrella genes and terminated replications. In summary, UC-genesis selects for loss- and gain-of-function of CoA and CoR respectively in the urothelial-lineage MTF hub; small molecule CoR-inhibitors are candidate remedies to renew maturation towards terminal differentiated-fates. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/744501v1_ufig1.gif" ALT="Figure 1"> View larger version (58K): org.highwire.dtl.DTLVardef@bda7e5org.highwire.dtl.DTLVardef@159ea57org.highwire.dtl.DTLVardef@28132borg.highwire.dtl.DTLVardef@1028bee_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2026

Targeting Microbial Bile Salt Hydrolase Reprograms Bile Acid Metabolism and Ameliorates Metabolic Dysfunction-Associated Steatohepatitis in Mice

Microbial bile salt hydrolase (BSH) plays a central role in shaping bile acid composition and gut-liver metabolic signaling, yet its therapeutic potential in metabolic dysfunction-associated steatohepatitis (MASH) remains incompletely defined. Here, we evaluated the efficacy of the non-absorbable BSH inhibitor GR-7 in a diet induced mouse model of steatohepatitis using early and late intervention strategies with different dosing regimens. GR-7 reduced food intake and exerted stage- and dose-dependent therapeutic effects, with early intervention robustly suppressing hepatic fibrosis even at low dose, whereas late-stage administration of high-dose GR-7 markedly reduced hepatic steatosis and inflammation, as evidenced by decreased liver weight, hepatic triglyceride and cholesterol levels, and plasma ALT. Although late intervention did not result in statistically significant histological reversal of fibrosis, a trend toward improvement was observed, together with suppression of fibrogenic gene expression, suggesting that prolonged treatment may further enhance antifibrotic efficacy. Mechanistically, GR-7 effectively inhibited microbial BSH activity in vivo, leading to reduced cecal unconjugated primary and secondary bile acids--including deoxycholic acid and lithocholic acid, which was associated with improved gut barrier integrity and reduced hepatic inflammation. In parallel, BSH inhibition reprogrammed hepatic bile acid metabolism toward activation of the alternative CYP27A1-mediated synthesis pathway, accompanied by reduced food intake, thereby contributing to improved hepatic lipid accumulation. Furthermore, late-stage high-dose treatment selectively remodeled the hepatic immune landscape rather than fully restoring homeostasis, highlighting immune recalibration as a key component of therapeutic response. Together, these findings identify microbial BSH inhibition as a promising microbiome-targeted therapeutic strategy for MASH. HighlightsO_LIThe non-absorbable BSH inhibitor GR-7 improves steatosis, inflammation, and fibrosis in of Western diet-induced steatohepatitis model in mice in a dose-dependent manner. C_LIO_LIGR-7 reduces food intake and body weight gain. C_LIO_LIGR-7 reduces cytotoxic secondary bile acids, including DCA and LCA. C_LIO_LIGR-7 reprograms hepatic bile acid metabolism and immune responses. C_LI

pharmacology and toxicology↗

bioRxiv2026

A Translational Model of MASLD-Associated HFpEF Defines Mitochondrial Dysfunction and Cardiac Plasticity During Disease Progression and Regression

Metabolic dysfunction-associated steatotic liver disease (MASLD) and its progressive form, metabolic dysfunction-associated steatohepatitis (MASH), are strongly linked to cardiac dysfunction, particularly, heart failure with preserved ejection fraction (HFpEF), yet the mechanisms underlying this association remain unclear because robust integrative preclinical models are lacking and the liver and heart are rarely studied as a coordinated system. Here we show that Alms1-/- (Foz/Foz) mice fed a Western diet develop MASH with advanced liver fibrosis accompanied by a HFpEF-like phenotype characterized by left ventricular hypertrophy, impaired cardiomyocyte contractility, reduced {beta}-adrenergic reserve, elevated BNP, and increased mortality despite ejection fraction >50%. Liver fibrosis emerged as a parameter strongly associated with the cardiac dysfunction. Remarkably, dietary reversal improved hepatic architecture, normalized cardiac function, and improved survival, revealing marked plasticity of the liver-heart axis. Analyses of left ventricular (LV) remodeling revealed mitochondrial dysfunction, altered substrate utilization, and extracellular matrix remodeling in the LV, with consistent concordance to human HFpEF transcriptomic signatures. Ultrastructural studies confirmed mitochondrial injury and sarcomeric disorganization, linking metabolic failure to impaired cardiomyocyte performance. Together, these findings identify mitochondrial dysfunction as an important feature of MASLD-associated HFpEF-like cardiac dysfunction and establish the Foz/Foz model as a powerful platform for investigating pathophysiological pathways linking metabolic liver disease to cardiac dysfunction and for testing mechanism-based therapeutic strategies. STRUCTURED ABSTRACTO_ST_ABSBackgroundC_ST_ABSMetabolic dysfunction associated steatotic liver disease (MASLD) and its advanced form, MASH, are closely linked to cardiac dysfunction, particularly heart failure with preserved ejection fraction (HFpEF). However, the mechanisms underlying MASLD-associated HFpEF and its reversibility remain poorly understood, largely due to the lack of robust preclinical models. Here, we established a translational model of MASLD-associated cardiac dysfunction that recapitulates the key features of human HFpEF. We applied functional and transcriptomic analyses of the left ventricle (LV) to define the pathways associated with cardiac dysfunction and its reversibility. MethodsAlms1-/- (Foz/Foz) mice and wild-type littermates were fed normal chow (NC) or Western diet (WD) for up to 36 weeks (wk). Reversibility was modeled by switching WD-fed Foz/Foz mice at 12wk back to NC for 12wk. Cardiac assessment included echocardiography, invasive hemodynamics with dobutamine stimulation, histopathology, electron microscopy and isolated cardiomyocyte contractility. LV transcriptomes were profiled by bulk RNA sequencing and analyzed by differential expression and pathway enrichment. ResultsFoz/Foz mice on WD for 24wk developed metabolic syndrome and MASH with advanced liver fibrosis. Cardiac phenotyping showed LV hypertrophy, impaired cardiomyocyte contractility, reduced {beta}-adrenergic reserve, elevated plasma BNP, and increased mortality while the ejection fraction was preserved (>50%), consistent with HFpEF. The progression of cardiac dysfunction was closely associated with liver fibrosis that developed during MASH. Switching WD-fed Foz/Foz mice at 12wk to normal chow diet reversed hepatic fibrosis, restored LV function, and reduced mortality, demonstrating plasticity of the liver-heart axis. LV transcriptomic analysis revealed that cardiac impairment in these mice was associated with mitochondrial dysfunction, altered substrate utilization, extracellular matrix remodeling, and metabolic stress; pathways that are similarly dysregulated in human HFpEF. Cardiac electron microscopy revealed swollen mitochondria with disrupted cristae, which improved following dietary intervention. ConclusionsMitochondrial dysfunction and fibroinflammatory remodeling are prominent features of MASLD-associated cardiac dysfunction. Reversal of hepatic and cardiac phenotypes with dietary intervention, together with elucidation of underlying pathways, establish the Foz/Foz model as a useful translational platform for studying liver-heart axis in MASLD. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=120 SRC="FIGDIR/small/708088v2_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@60bd2aorg.highwire.dtl.DTLVardef@1234a09org.highwire.dtl.DTLVardef@1d1c5aborg.highwire.dtl.DTLVardef@1086089_HPS_FORMAT_FIGEXP M_FIG C_FIG

physiology↗

bioRxiv2025

Automated Seizure Detection in Animal EEG Signals

Automated seizure detection in animal electroencephalography (EEG) is crucial for accelerating epilepsy research. While machine learning (ML) and deep learning (DL) techniques have shown promise in seizure detection for human EEG and some rodent models, their application to chemically diverse animal data remains limited. In particular, no prior work has explored deep learning approaches for EEG data where seizure/epilepsy was induced by exposure to Soman (GD), a potent agent known to generate complex and variable seizure dynamics. In this work, we evaluate deep recurrent neural networks--Gated Recurrent Units (GRU) and Long Short-Term Memory networks (LSTM)--for seizure detection in EEG signals acquired by single channel (bipotential electrodes) from the rats exposed to either kainate or GD, which later animals developed epilepsy (measured by spontaneously recurring seizures). We benchmark these models against classical baselines including Random Forest and XGBoost, using intracranial EEG data from eight animals. Our results show that GRU and LSTM substantially outperform other shallow models in both accuracy and robustness across EEG traces.

animal behavior and cognition↗

bioRxiv2025

RNAcentral in 2026: Genes and literature integration

RNAcentral was founded in 2014 to serve as a comprehensive database of non-coding RNA sequences. It began by providing a single unified interface to more specialised resources, and now contains 45 million sequences. It has grown beyond providing a single interface to many specialised resources and now provides several services and analyses. These include secondary structure prediction with R2DT, sequence search, and analysis with Rfam. Since its last publication in 2021, RNAcentral has developed two major features. First, literature integration with the development of LitScan and LitSumm. LitScan automatically identifies and links relevant publications to RNA entries, while LitSumm uses natural language processing to generate functional summaries from the literature. Together, these tools address the critical challenge of connecting sequence data with scattered functional knowledge across thousands of publications. Secondly, RNAcentral has created gene level entries. Gene level entries represent a large structural change to RNAcentral. While RNAcentral previously organized data exclusively at the sequence level, we now group related transcripts into gene-centric views. This allows researchers to explore all isoforms, splice variants, and related sequences for a gene in a unified interface, better reflecting biological organization and facilitating comparative analyses. RNAcentral is freely available at: https://rnacentral.org.

bioinformatics↗

bioRxiv2025

Modulating Glutamine Metabolism Reprograms Pro-Inflammatory Differentiation in Macrophages

Previous in vivo studies demonstrated that JHU083/DON, a glutamine analog drug, potently reprograms M1/M2 macrophages. To determine whether these effects are direct or indirect, we utilized an in vitro murine bone marrow-derived macrophage (BMDM) model, which recapitulates macrophage differentiation and polarization processes, to examine the impact of DON on the M1 macrophages. DON was applied during M1 differentiation or to fully polarized M1 macrophages, revealing that glutamine inhibition initially suppressed M1 activity but later enhanced it, resulting in sustained pro-inflammatory activation. Multi-omics analyses (bulk RNA-seq and LC-MS), time-course assays, and glutamine depletion experiments consistently suggested that prolonged glutamine inhibition elevates glutamine levels, which sustain pro-inflammatory gene transcription. In contrast, M2 and tumor-associated macrophages (TAM), which are immunosuppressive, were more susceptible to DON, leading to functional suppression. Collectively, our findings uncover stage-specific mechanisms by which glutamine inhibition modulates M1 polarization, offering a mechanistic rationale for therapeutic strategies that sustain pro-inflammatory, anti-tumor macrophage activity while concurrently suppressing immunosuppressive myeloid subsets in cancer.

cancer biology↗

bioRxiv2025

Circulating Biomarkers for Therapeutic Response to Immune Checkpoint Inhibitor Therapy in Patients with Advanced Lung Cancer

Immune checkpoint inhibitors (ICIs) have demonstrated remarkable efficacy in the treatment of advanced lung cancer (ALC), but not all patients benefit. To identify responders, patient selection, categorization, and the identification of specific predictive biomarkers are crucial. Our research aims to identify circulating metabolites that could be used to stratify patients into potential responders prior to the initiation of ICIs and to monitor clinical response in real-time during treatment. In the discovery phase, plasma samples (n = 25) from ALC patients receiving ICIs were analyzed using unbiased metabolomics and validated in a distinct patient cohort (n = 39). Five potential biomarkers were identified (FC > 1.5, p 0.05, AUC 0.81-1), including Thiourea and a combined metabolite panel (CMP) consisting of sphingosine-1-phosphate, gentisic acid, glutathione, and 4-hydroxybutanone. Early on-treatment high plasma levels of Thiourea were significantly associated with 5-year progression-free survival [Hazard ratio (HR) = 0.038, 95% confidence interval (CI) = 0.013-0.107, p<0.001] and overall survival [HR = 0.048, 95% CI = 0.019-0.120, p<0.001]. Low levels of CMP early on treatment were significantly associated with progression-free survival [HR = 8.119, 95% CI: 3.767-17.501, p<0.001] and overall survival [HR = 7.367, 95% CI: 3.517-15.433, 3.517-15.433, p<0.001]. This predictive plasma metabolite panel could serve as promising circulating biomarkers for predicting the therapeutic response of ICIs in ALC patients.

cancer biology↗

bioRxiv2025

Cell Type-Specific Effects of miR-21 Loss Attenuate Tumor Progression in MYC-Driven Prostate Cancer

Aberrant microRNA expression is common in cancer, yet cell-type-specific microRNA activity in the tumor microenvironment (TME) remains poorly understood. Here, we show that germline deletion of miR-21 significantly attenuated the progression of MYC-driven prostate cancer (PCa), reducing prostate weight, tumor burden, and proliferation index in Hi-Myc mice. In situ hybridization revealed elevated miR-21 expression in multiple cell types during disease progression. Inflammatory and premalignant lesions in mouse and human prostate showed increased miR-21 in both stroma and epithelium, with further enrichment in the stroma of invasive adenocarcinoma. In Hi-Myc mice, single cell RNA-sequencing revealed miR-21 gene regulation in neoplastic, stromal, and immune cells in a cell-type-specific manner, impacting both direct and indirect targets. Notably, miR-21 deletion reduced immune infiltration into the prostate TME, particularly Trem2-expressing macrophages and regulatory T cells. The Timp1-fibroblast gene signature in MYC-driven PCa was suppressed in miR-21 knockout prostates. Cell-cell communication analysis showed that miR-21 suppressed TGF-beta signaling in the TME, partially through Ski and Smad7 suppression in cancer-associated fibroblasts. These findings underscore the crucial role of miR-21 in PCa and provide some of the first in situ insights into cell-type-specific miRNA activity in solid tumors.

cancer biology↗

bioRxiv2025

Cytokine profiling identifies circulating IL-2, IL23 and sPD-L1 as prognostic biomarkers for treatment outcomes in Non-Small cell Lung Cancer patients undergoing anti-PD1 therapy

BackgroundThis study investigates the predictive potential of circulating cytokines for response and survival outcomes in patients with advanced non-small cell lung cancer (NSCLC) undergoing immune checkpoint inhibitor (ICI) therapy. Materials and MethodsA cohort of 64 patients with advanced NSCLC receiving ICI therapy were included. Baseline serum samples were collected prior to ICI initiation and profiled using a multiplex cytokine panel. Logistic regression, Cox regression, and Kaplan-Meier survival analysis were employed to assess associations between cytokine levels, therapeutic response, progression-free survival (PFS), and overall survival (OS). Gene expression levels of key cytokines were validated in peripheral blood mononuclear cells (PBMCs) using quantitative real-time PCR. ResultsElevated baseline levels of IL-2, IL-23, and sPD-L1 were significantly associated with clinical response to ICI therapy. Among these, sPD-L1 emerged as an independent predictor of response (AUC = 0.87). Multivariate Cox regression showed IL-2 (HR = 0.67), sPD-L1 (HR = 0.15), and IL-23 (HR = 1.18) were significantly associated with PFS and also predictive of OS. Notably, combined profiling of IL-2 and sPD-L1 enhanced predictive power (AUC = 0.95 for both PFS and OS). RT-PCR analysis of PBMCs corroborated these findings, confirming upregulation of IL-2 in responders and elevated IL-23 expression in non-responders. ConclusionBaseline cytokine profiling particularly of IL-2, sPD-L1, and IL-23 provides important prognostic and predictive information in advanced NSCLC patients undergoing ICI therapy. These biomarkers may facilitate more personalized approaches to immunotherapy and guide clinical decision-making.

cancer biology↗

bioRxiv2025

Predictive Modeling of acute Graft-versus-Host-Disease using Machine Learning on Immune Cell and Cytokine Profiles at Engraftment

BackgroundAcute Graft-versus-Host-Disease (aGvHD) is a major immune complication following allogenic hematopoietic stem cell transplantation (Allo-HSCT), initiated by conditioning regimen-associated tissue damage. It involves the complex interplay of immune cells and cytokines. Our study aims to leverage machine learning (ML) algorithms on the immune and cytokine profile of Allo-HSCT recipients to develop biomarker-based classification models to predict the onset of aGvHD at the time of engraftment. Materials and MethodsSeventy patients diagnosed with hematological disorders who had undergone Ist Allo-HSCT were recruited from All India Institute of Medical Sciences, New Delhi, India. Peripheral blood (PB) was collected from the patients at the time of engraftment, and the immune cell subtypes and cytokine profiles were analyzed using flow cytometry and ELISA respectively. The individual cell counts were then processed using basic ML models, including support vector classifier with RBF kernel, Decision Tree, and Random Forest, chosen for their mathematical simplicity and feature importance advantage of Decision Trees and Random Forests. Various data settings were utilized in the study: combined immune and cytokine counts, immune cell counts only, cytokine counts only, T-cell counts only, NK cell counts only, dendritic cell counts only, and B-cell counts only. These configurations were selected to investigate how different data sets impact the prediction of aGvHD before its onset. ResultsAt the engraftment flow cytometric analysis of reconstituted lymphocytes in patients who developed aGvHD revealed that there was a remarkable decrease in the ratio of CD4+/CD8+ T-cell and Tregs, with an increase in the cytotoxic regulatory NK-cell, dendritic cells, and B-cell. The levels of pro-inflammatory cytokines (IFN-{gamma}, IL-1{beta}, IP-10, TNF-, IL-17, IL-12p70, MIP-1, MIP-1{beta}, RANTES), and Th17-and Th1-cells were elevated with consequent decline of the levels of anti-inflammatory cytokine IL-10, IL-2, IL-4 and Th2-, Th9-cells. Machine learning based on 48 parameters [all immune cell subsets n=34 and all cytokines (n=14)]. The correlation heat map shows a higher correlation of aGvHD with the cytokine profile with or without immune cells (accuracy: 1), T-cell alone (accuracy: 0.96); NK-cell alone (accuracy: 0.93); dendritic cells alone (accuracy: 0.90), B-cell alone (accuracy: 0.86). ConclusionThe current models classify perfectly, indicating the potential for a ML algorithm in predicting the onset of aGvHD. However, a study with a larger sample size is required to validate these classification models and mitigate the risk of overfitting observed due to the consistently high performance. The study also highlights the potential of cytokine profiles as a viable alternative to T-cell counts, as evidenced by the correlation heat map and classifier models. These findings provide valuable insights into dataset requirements and future directions for integrating ML models into aGvHD prediction.

immunology↗

bioRxiv2024

Divergent Functions of Late ESCRT Components in Giardia lamblia: Insights from Subcellular Distributions and Protein Interactions

Giardia lamblia, a human gut pathogen, possesses a minimal ESCRT (Endosomal Sorting Complex Required for Transport) machinery. Paradoxically, there are multiple paralogs of some late-ESCRT components. There are three paralogs for Vps4, GlVps4a, GlVps4b, and GlVps4c, and two for Vps46, GlVps46a, and GlVps46b. This study addressed whether these paralogs discharge overlapping and/or distinct cellular functions by determining the sub-cellular distribution of the paralogs in trophozoites and during encysting. Consistent with the distribution of orthologs in model organisms, most of these components were found to be associated with various cellular membranes, particularly in regions of acute membrane bending. Some of these paralogs are also associated with microtubule structures, such as cytoplasmic axonemes and the median body. Considering their diverse sub-cellular distributions, it is likely that they perform non-overlapping functions within the cell. Furthermore, their redistribution during encystation indicates that they may play a role in the morphological and functional changes accompanying this transition. The study also characterized GlIst1, an ESCRT-III accessory protein that undergoes unique post-translational myristoylation at lysine 43, potentially aiding its membrane recruitment. GlIst1 selectively interacts with GlVps4b through non-canonical MIT-MIM interactions. GlIst1 also exhibits selective interaction with GlVps46b. Such selective interaction of GlIst1 with only specific paralogs of GlVps4 and GlVps46 further underscores the distinct cellular roles of these paralogs. Author SummaryGiardia lamblia, a unicellular protozoan parasite, is the causative agent of giardiasis, a water-transmitted disease affecting millions globally. This disease poses a substantial threat to public health, especially in less developed countries, where clean water and proper sanitation are scarce. The parasite manifests in two morphologically distinct forms, trophozoites and cysts. Transformation between these forms is essential for the organisms survival, spread, and infection processes. Trophozoites, the active and motile form of Giardia, inhabit the small intestine of the host and trigger infections. These trophozoites can transform into cysts through encystation, enabling the parasite to endure harsh external environments and spread between hosts through contaminated water or food sources. The transition between these states necessitates extensive membrane restructuring. Such changes are likely to involve the Endosomal Sorting Complex Required for Transport (ESCRT) machinery, as it has been shown to participate in both prokaryotic and eukaryotic membrane remodeling events. Our research sheds light on the ESCRT machinery in G. lamblia, a crucial membrane-shaping system that may facilitate the transition between trophozoites and cysts. The ESCRT machinery in G. lamblia is distinct from that in yeast and humans, representing one of the most basic ESCRT systems. Our investigation provides valuable information about the intracellular distribution of various late-ESCRT components under different conditions, their potential functions, and their interactions with other late-ESCRT components. These findings may contribute significantly to our understanding of the basic operation of the ESCRT machinery in this parasite.

cell biology↗

bioRxiv2024

Genetic variation in the activity of a TREM2-p53 signaling axis determines oxygen-inducedlung injury

Bronchopulmonary dysplasia (BPD), a chronic lung disease, is the most common major complication of preterm birth. Supplemental oxygen administration, while lifesaving in the neonatal period, remains a key determinant of BPD pathophysiology. Exposure of the immature lung to increased levels of oxygen elicits an inflammatory response resulting in abnormal lung development. However, not every premature infant is equally sensitive to develop BPD. Using genetically diverse mouse strains, we show that the innate immune response activated in the lungs of mice sensitive to hyperoxia that develop BPD-like lung injury differs from mice resilient to disease. Specifically, we identified a selective upregulation of triggering receptor expressed on myeloid cells 2 (TREM2) on lung macrophages and monocytes in the hyperoxia-sensitive C57BL/6J mouse strain. We show that loss of function of TREM2 signaling in myeloid cells resulted in a dramatically improved phenotype after neonatal hyperoxia exposure characterized by a dampened immune response, preserved alveolar structure, and preserved cell proliferative potential supporting normal lung development. At the molecular level, inhibition of TREM2 signaling dampened the magnitude of p53 activation and resulted in cell cycle arrest instead of apoptosis. These findings show that TREM2 is a critical regulator of the pathogenic innate immune response to hyperoxia and highlight its importance as a potential therapeutic target for mitigating injury in the hyperoxia-exposed developing lung.

immunology↗

bioRxiv2024

The binary protein interactome mapping of the Giardia lamblia proteasome lid reveals extra proteasomal functions of GlRpn11

Giardia lamblia does not encode Rpn12 and Sem1, two proteins crucial for assembling the proteasome lid. To understand how the interactions between the giardial proteasome lid subunits may have changed to compensate for their absence, we used the yeast two-hybrid assay to generate a binary protein interaction map of the Giardia lid subunits. Most interactions within the Giardia proteasome lid are stronger than those within the Saccharomyces cerevisiae lid. These may compensate for the absence of Rpn12 and Sem1. A notable exception was the weaker interaction between GlRpn11 and GlRpn8, compared to the strong interaction between Rpn11-Rpn8 of yeast. The Rpn11-Rpn8 dimer provides a platform for lid assembly and their interaction involves the insertion of a methionine residue of Rpn11 into a hydrophobic pocket of Rpn8. Molecular modeling indicates that GlRpn8s pocket is wider, reconciling the experimental observation of its weak interaction with GlRpn11. This weaker interaction may have evolved to support extra proteasomal functions of GlRpn11, which localizes to multiple subcellular regions where other proteasome subunits have not been detected. One such location is the mitosome. Functional complementation in yeast shows that GlRpn11 can influence mitochondrial function and distribution. This, together with its mitosomal localization, indicates that GlRpn11 functions at the mitosome. Thus, this parasites proteasome lid has a simpler subunit architecture and structural attributes that may support dual functionalities for GlRpn11. Such parasite-specific proteasome features could provide new avenues for controlling the transmission of Giardia. 1 Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC="FIGDIR/small/613619v1_ufigs1.gif" ALT="Figure 0"> View larger version (33K): org.highwire.dtl.DTLVardef@989e69org.highwire.dtl.DTLVardef@1c8134aorg.highwire.dtl.DTLVardef@6a9794org.highwire.dtl.DTLVardef@5ac20_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIGiardia genome does not encode two proteasomal lid subunits: Rpn12 and Sem1 C_LIO_LIUnique interactions within the lid may compensate for the absence of these two C_LIO_LIGlRpn8:GlRpn11 weakly interacts to support GlRpn11s extra-proteasomal distribution C_LIO_LIGlRpn11 localizes at mitosomes, OZ of VD, and to the VFP C_LIO_LIThe 182-218 fragment of GlRpn11 may regulate mitosomal function C_LI

cell biology↗

bioRxiv2024

Combined transcriptomic, connectivity, and activity profiling of the medial amygdala using highly amplified multiplexed in situ hybridization (hamFISH)

In situ transcriptomic technologies provide a promising avenue to link gene expression, connectivity, and physiological properties of neural cell types. Commercialized methods that allow the detection of hundreds of genes in situ, however, are expensive and therefore typically used for generating unimodal reference data rather than for resource-intensive multimodal analyses. A major bottleneck is the lack of a routine means to efficiently generate cell type data. Here, we have developed hamFISH (highly amplified multiplexed fluorescence in situ hybridization), which enables the sequential detection of 32 genes using multiplexed branched DNA amplification. We used hamFISH to profile the projection, activity, and transcriptomic diversity of the medial amygdala (MeA), a critical node for innate social and defensive behaviors in mice. In total, we profiled 643,834 cells and classified neurons into 16 inhibitory and 10 excitatory types, many of which were found to be spatially clustered. We then examined the organization of outputs of these cells and activation profiles during different social contexts. Therefore, by facilitating multiplexed detection of single molecule RNAs, hamFISH provides a streamlined and versatile platform for multimodal profiling of specific brain nuclei.

neuroscience↗

bioRxiv2024

Consumption of human-relevant levels of sucrose-water rewires macronutrient uptake and utilization mechanisms in a tissue specific manner

Consumption of sugar-sweetened beverages (SSBs) have been linked to metabolic dysfunction, obesity, diabetes and enhanced risk of cardiovascular diseases across all age-groups globally. Decades of work that have provided insights into pathophysiological manifestations of sucrose overfeeding have employed paradigms that rarely mimic human consumption of SSBs. Thus, our understanding of multi-organ cross-talk and molecular and/or cellular mechanisms, which operate across scales and drive physiological derangement is still poor. By employing a paradigm of sucrose water feeding in mice that closely resembles chronic SSB consumption in humans (10% sucrose in water), we have unraveled hitherto unknown tissue-specific mechanistic underpinnings, which contribute towards perturbed physiology. Our findings illustrate that systemic impaired glucose homeostasis, mediated by hepatic gluconeogenesis and insulin resistance, does not involve altered gene expression programs in the liver. We have discovered the pivotal role of the small intestine, which in conjunction with liver and muscles, drives dyshomeostasis. Importantly, we have uncovered rewiring of molecular mechanisms in the proximal intestine that is either causal or consequential to systemic ill-effects of chronic sucrose water consumption including dysfunction of liver and muscle mitochondria. Tissue-specific molecular signatures, which we have unveiled, clearly indicate that inefficient utilization of glucose is exacerbated by enhanced uptake by the gut. Besides providing systems-wide mechanistic insights, we propose that consumption of SSBs causes intestinal molecular addiction for deregulated absorption of hexose-sugars, and drives diseases such as diabetes and obesity.

physiology↗

bioRxiv2024

Two paralogues of N-ethylmaleimide sensitive factor: An exception to the minimal vesicular trafficking machinery of Giardia

Vesicular trafficking plays a critical role in the survival of the human gut pathogen Giardia lamblia as it drives nutrient uptake and morphological stage transition. Unlike most eukaryotes, Giardia has a minimal vesicular trafficking machinery. Herein, we report a rare exception to this minimalism wherein two paralogues of NSF, a crucial factor driving vesicular trafficking by uncoupling the cis-SNARE bundle, are present in this unicellular parasite. While GlNSF114776 and GlNSF112681 share very high sequence homology, they are likely to have distinct cellular roles as they exhibit differences in their affinities towards the Gl-SNAPs and display non-overlapping distribution in encysting trophozoites. Under multiple stress conditions (nutritional, oxidative and nitrosative), while GlNSF112681 remains at peripheral vesicles, GlNSF114776 relocalizes to the anterior flagella-associated striated fibres, indicating a possible role in regulating flagellar motility. At this location, GlNSF114776 is likely to perform a 20S complex independent function as neither Gl-SNAPs nor GlSNAREs are present there. The two paralogues are likely needed for stress adaptation as both copies have also been retained in Giardia genomes isolated from clinical samples. This non-canonical function of the GlNSF114776 may have evolved to support the unique architecture and motility of the anterior flagella.

cell biology↗

bioRxiv2023

Chandipura Virus forms cytoplasmic inclusion bodies through phase separation and proviral association of cellular protein Kinase R and stress granules protein TIA-1

Negative-strand RNA viruses form cytoplasmic inclusion bodies (IBs) representing virus replication foci through phase separation or bio-molecular condensation of viral and cellular proteins, as a hallmark of their infection. Alternatively, mammalian cells form stalled-mRNA containing antiviral stress granules (SGs), as a consequence of phosphorylation of eukaryotic initiation factor 2 (eIF2) through condensation of several RNA-binding proteins including TIA-1. Whether and how Chandipura virus (CHPV), an emerging human pathogen causing influenza-like illness, coma and death; forms IBs and evades antiviral SGs, remains unknown. By confocal imaging on CHPV-infected Vero-E6 cells, we found that CHPV infection doesnt induce formation of distinct canonical SGs. Instead, CHPV proteins condense and co-localize together with SG-proteins to form heterogeneous IBs, which ensued independent of the activation of eIF2 and eIF2 Kinase, Protein Kinase R (PKR). Interestingly, siRNA-mediated depletion of PKR or TIA-1 significantly decreased viral transcription and virion production. Moreover, CHPV infection also caused condensation and recruitment of PKR to IBs. Compared to SGs, IBs exhibited significant rapidity in disassembly dynamics. Altogether, our study demonstrates that CHPV-replication co-optimizing with SG-proteins and revealing unprecedented proviral role of TIA-1/PKR, may have implication in understanding the mechanisms regulating CHPV-IB formation, and designing antiviral therapeutic. ImportanceCHPV is an emerging tropical pathogen reported to cause acute influenza-like-illness and encephalitis in children with very high mortality rate of [~]70%. Lack of a vaccines and an effective therapy against CHPV makes it a potent pathogen for causing an epidemic in tropical parts of globe. Given these forewarnings, it is of paramount importance that CHPV biology must be understood comprehensively. Targeting of host factors offers several advantages over targeting the viral components due to in general higher mutation rate in viral genome. In this study, we aimed at understanding the role of those cellular RNA binding proteins in CHPV replication, which form SGs. Our study helps understand participation of cellular factors in CHPV replication and could help develop effective therapeutics against the virus.

microbiology↗