Biology subjects

Tiwari, A.

Publications and source records attributed to Tiwari, A..

At least 19 recordsLinked to original sources

bioRxiv2026

Tamoxifen and Doxorubicin Synergistically Target Estrogen Receptor beta-Mutant p53-p73 Axis, a Therapeutically Actionable Vulnerability in Triple Negative Breast Cancer

Current therapeutic regimens for triple negative breast cancer (TNBC) are not very effective in majority of patients and have serious adverse effects. Tamoxifen (Tam), a selective estrogen receptor modulator (SERM), routinely used to treat estrogen receptor alpha-positive breast cancer, has traditionally not been considered for TNBC therapy because it lacks expression of ER alpha, the canonical target of Tam. Challenging this conventional clinical paradigm, we have demonstrated, using genetic and pharmacological approaches, that Tam synergizes with DNA-damaging agent doxorubicin (Doxo) to increase cell death by both apoptosis and ferroptosis leading to growth inhibition of TNBC CDXs and PDXs expressing mutant p53. Mechanistically, these responses are dependent on ER beta-mutant p53 interaction enhanced by Tam, thereby disrupting p73-mutant p53 complex resulting in reactivation of p73 and transcriptomic reprogramming converging on apoptosis and ferroptosis. These studies demonstrate the potential for repurposing Tam with Doxo as an effective and safe therapeutic strategy to treat molecularly stratified TNBC.

cancer biology↗

bioRxiv2026

LINE-1 transposon derepression and epigenetic remodeling in Retinoblastoma

Retinoblastoma (RB), the most common pediatric intraocular malignancy, is initiated by biallelic inactivation of the RB1 tumor suppressor gene. Although LINE-1 (L1) retrotransposon activation has been linked to genomic instability and tumor evolution in several adult cancers, its contribution to pediatric malignancies remains poorly understood. Here, we investigated L1 expression in retinoblastoma samples from an Indian pediatric cohort by integrating transcriptomic, locus-specific, and immunohistochemistry. Transcriptomic profiling revealed increased L1 expression in RB tumors compared with control retinal tissues, which was validated by ORF1p immunostaining in tumor sections. Locus-specific analysis identified a subset of transcriptionally active L1 loci, suggesting selective activation of young L1 elements. We also observed altered expression of genes associated with proliferation, chromatin regulation, and oncogenic signaling, including MYCN, MDM2, E2F3, SOX4 and CREBBP. Our findings identify previously underexplored L1 activation as a molecular feature associated with retinoblastoma and suggest that disruption of transposon silencing accompanies the RB transcriptional landscape. Validation in larger patient cohorts will be important; however, this study provides a foundation for exploring L1 activity as a potential molecular marker and future therapeutic vulnerability in retinoblastoma. HighlightsO_LITranscriptomic profiling reveals increased LINE-1 expression in retinoblastoma. C_LIO_LIORF1p protein is robustly expressed in retinoblastoma. C_LIO_LIA subset of LINE-1 loci exhibits transcriptional activation, suggesting locus-specific derepression. C_LI In BriefRetinoblastoma is initiated by RB1 loss, but the contribution of transposable elements to its molecular landscape remains poorly understood. Here, we show that retinoblastoma is associated with LINE-1 promoter hypomethylation, increased LINE-1 transcript expression, ORF1p accumulation, and preferential activation of selected LINE-1 loci. These changes occur together with altered expression of oncogenic signalling pathways and host factors involved in transposable element repression, identifying dysregulated LINE-1 control as a molecular feature of this paediatric cancer. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=115 SRC="FIGDIR/small/740688v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@197e89org.highwire.dtl.DTLVardef@1c26c04org.highwire.dtl.DTLVardef@14180a4org.highwire.dtl.DTLVardef@16493bb_HPS_FORMAT_FIGEXP M_FIG C_FIG Retinoblastoma exhibits epigenetic activation of LINE-1 characterized by promoter hypomethylation, increased expression of young LINE-1 elements, and ORF1p accumulation. This is accompanied by coordinated transcriptomic remodeling and disruption of host mechanisms that normally restrain transposable elements, linking LINE-1 activation to the molecular landscape of retinoblastoma.

cancer biology↗

bioRxiv2026

The Neuro-Immune Axis in Glioma Spontaneous Remission: Evidence from Population-Level Latent Variable Modelling and Transcriptomic Profiling

Gliomas are primary brain tumours that develop from neural stem or progenitor cells containing oncogenic alterations. Gliomas undergo remission with partial or complete disappearance of the disease, and in rare instances, spontaneous remission. Spontaneous remission happens without treatment or with inadequate medical intervention. This is a rare but well-documented phenomenon and has been observed across various tumour types, including gliomas, with varying frequency. While historically viewed as clinical anomalies, we hypothesize that SR may be driven by a measurable, latent neuro-immune axis specifically, autonomic vagal nerve modulation of the tumour microenvironment (TME) via the cholinergic anti-inflammatory pathway. Using a Gamma frailty Cox proportional hazards model on a SEER cohort of 6,939 glioma patients, we identified a latent biological variable (Z) that explains 27.1% of survival variance independent of age, grade, treatment, and tumour location. To determine the molecular basis of this latent survival advantage, we applied parallel frailty and Cox models to the TCGA Lower Grade Glioma and Glioblastoma (LGG+GBM) cohorts. Clinical validation confirmed expected hazards for age and grade, with the frailty model achieving high predictive accuracy (5-year AUC = 0.840; 10-year AUC = 0.841). Transcriptomic integration revealed that the alpha7 nicotinic acetylcholine receptor (CHRNA7) is highly protective, inversely correlating with biological frailty (r = -0.285, p < 0.0001). Conversely, pro-inflammatory cytokines (IL6) and M2 macrophage markers (CD163) positively correlated with frailty. Grade-stratified Cox regression and Kaplan-Meier analyses confirmed that CHRNA7 confers a significant survival advantage entirely independent of tumour grade. Single-cell RNA-sequencing data (Core GBmap) confirmed that CHRNA7 and TLR4 are expressed heavily on tumour-associated macrophages and microglia, rather than malignant cells. Our in-silico integration suggests that high vagal tone releases acetylcholine, binding to alpha7nAChR on TME macrophages. This triggers a signalling cascade that dampens the IL-6 production required for glioma proliferation, effectively halting tumour growth. Ongoing in vitro wet-lab experiments utilizing specific alpha7nAChR agonists (GTS-21) and physiological stress models aim to clinically validate this vagal-immune mechanism.

Cancer Biology↗

bioRxiv2026

Overexpression of flavodiiron protein Flv3 in engineered Synechocystis stimulates sucrose production and growth by altering cellular redox balance through enhanced sulfur metabolism

Biotechnological applications of oxygenic photosynthetic organisms depend on conversion of light energy into chemical energy through photosystems (PS). This energy can then be used to drive engineered metabolic pathways that are designed as strong electron sinks. For optimal performance, the engineered host metabolism must also be balanced with the native photoprotective electron transfer network. This includes the energy-consuming function of flavodiiron (Flv) proteins, which are universal to cyanobacteria and all other oxygenic photosynthetic organisms except angiosperms. In the cyanobacterium Synechocystis sp. PCC 6803, four different Flv proteins have been shown to function in a Mehler-like reaction within two heterodimeric forms (Flv1/Flv3 and Flv2/Flv4), donating electrons to O2 without generating oxidative stress. Previously, deleting Flv3 in the Synechocystis sucrose-producing (S02) strain was shown to cause drastic metabolic changes in S02{Delta}flv3, shifting it from photoautotrophic to mixotrophic growth (Muth-Pawlak, et al., 2024). In this study, we took an opposite approach by complementing S02 with Flv3 overexpression at different levels using RBS tuning. Interestingly, this resulted in S02oeFlv3 strains with significantly increased overall photosynthetic activity and sucrose production, enhanced cell growth, and storage compound accumulation. However, these outcomes are shown not to be due to conventional O2 photoreduction activity catalysed by Flv1/Flv3. Instead, we postulate that the observed changes are linked to the previously unidentified function of homomeric Flv3/Flv3 and the strongly increased sulphate redox metabolism. Based on extensive proteomic and metabolite analyses, we hypothesise that the Flv3 homooligomer uses sulfate metabolites directly or indirectly as the final electron acceptor instead of O2. This would also explain the upregulation of sulfate-related enzymes, as well as SQR, which passes the electrons back to the PQ pool in the Flv3 overexpression strain.

biochemistry↗

bioRxiv2026

Raman spectral signatures reflect altered metabolic state of exhausted T cells

T cell exhaustion within the tumor microenvironment drives CD8+ T cells into a dysfunctional state characterized by progressive loss of proliferative capacity and effector functions, thereby limiting anti-tumor immunity and therapeutic efficacy. To investigate the biochemical alterations associated with exhaustion, an in vitro model of CD8+ T cell exhaustion was established through chronic antigenic stimulation of murine OT-1 CD8+ T cells. Phenotypic, functional, metabolic, and transcriptional characterization confirmed the acquisition of an exhausted state. Single-cell Raman spectroscopy was subsequently employed to generate biochemical signatures of activated, and exhausted CD8+ T cells. Principal component analysis (PCA) of the Raman spectral data revealed distinct separation of these two cell subsets, reflecting underlying biochemical differences associated with their functional states. Differential Raman spectral features corresponding to nucleic acids, carbohydrates, proteins, and lipids contributed significantly to this segregation, reflecting altered metabolic and biosynthetic states during exhaustion progression. Classification of the spectral data using machine-learning algorithms enabled accurate segregation of activated and exhausted T cells. Collectively, this study demonstrates that single-cell Raman spectroscopy can distinguish exhausted CD8+ T cells in a label-free and non-destructive manner, highlighting its potential as a platform for immune profiling and monitoring T cell dysfunction.

immunology↗

bioRxiv2026

Structural basis of caveolin-driven membrane bending

Caveolins are monotopic membrane proteins essential for caveolae formation and have key roles in signaling and lipid regulation. Caveolins assemble into amphipathic discs with a central {beta}-barrel, an architecture distinct from other membrane-remodeling proteins. These discs embed in the membrane inducing membrane curvature. However, the mechanism of disc-driven bending remains unresolved. Using cryo-electron tomography, structure-guided mutagenesis, and mammalian cell studies, we show that evolutionarily distinct caveolins differ dramatically in their ability to curve membranes despite their conserved architecture. Through computational and theoretical analyses, we demonstrate that patterning of hydrophobic residues along the rim of the disc of human Caveolin-1 induces the deformation of the surrounding leaflet, dictating membrane bending. Finally, we determine a 4.1[A] resolution structure of Caveolin-1 within heterologous caveolae in situ, showing the disc adopts a funnel-like conformation, further shaping membrane architecture. Together, these findings reveal fundamental structural principles that empower caveolins to sculpt and remodel cellular membranes.

cell biology↗

bioRxiv2025

Telomerase mRNA-Lipid nanoparticles attenuate neuroinflammation after traumatic brain injury in mice

Traumatic brain injury (TBI) is a leading cause of chronic neurological disability, yet no disease-modifying therapy exists. Emerging evidence indicates that TBI activates cellular aging programs, including telomere erosion and persistent inflammation, that contribute to progressive neurodegeneration. Telomerase reverse transcriptase (TERT) preserves telomere homeostasis and provides cytoprotective effects in the central nervous system, but has not been therapeutically targeted after TBI. Here, we developed an mRNA nanotherapy consisting of mouse TERT mRNA encapsulated in lipid nanoparticles (mTERT-LNPs) and evaluated it in a controlled cortical impact model of moderate TBI. We first established that TBI transiently disrupts TERT biology, with reduced cortical TERT mRNA and shortened telomeres at 3 days post-injury (dpi), followed by partial recovery by 14 dpi. mTERT-LNPs were well tolerated in vitro and in vivo. Following intravenous delivery in the acute post-injury window, LNPs localized to the injured brain and displayed expected peripheral biodistribution. A single systemic dose increased cortical TERT mRNA and protein and partially restored telomere length at 3 dpi. TERT mRNA delivery significantly reduced Iba1+ microglial activation and suppressed pro-inflammatory cytokines, with modest increases in anti-inflammatory markers. Systemically, mTERT-LNPs lowered serum C-reactive protein and malondialdehyde, indicating reduced peripheral inflammation and oxidative stress, without adverse effects on body weight or peripheral organ histology. Several outcomes showed sex-dependent patterns. Collectively, these data provide the first in vivo evidence that telomerase therapy can modulate telomere biology and neuroinflammation after TBI, supporting mRNA-LNP-mediated TERT restoration as a scalable, mechanistically grounded strategy for disease modification in TBI and related disorders. Significant statementTraumatic brain injury (TBI) can initiate progressive brain changes that worsen long after the initial impact, and no therapy directly slows or prevents this decline. A key contributor may be "accelerated aging" in injured tissue, including telomere damage (protective chromosome ends) and persistent neuroinflammation driven by activated immune cells. This study is significant because it tests a targeted way to disrupt these processes by restoring telomerase reverse transcriptase (TERT), which helps maintain telomeres and cellular resilience. Using a clinically validated mRNA-lipid nanoparticle platform, a single intravenous dose increased brain TERT, partially restored telomere length, and reduced neuroinflammation and systemic oxidative stress without obvious toxicity. These findings connect telomere dysfunction to a scalable disease-modifying strategy for TBI and related neurodegenerative conditions.

neuroscience↗

bioRxiv2025

scCotag: Diagonal integration of single-cell multi-omics data via prior-informed co-optimal transport and regularized barycentric mapping

Recent advances in high-throughput single-cell technologies have enabled characterization of cellular states across distinct omics layers, yielding complementary insights into the organization of biological systems. To jointly leverage these disparate modalities, computational methods have been developed to align non-overlapping cell populations profiled in different omics layers, a task known as diagonal integration, thereby facilitating more fine-grained biological interpretations. However, existing integration approaches unrealistically assume that all cells are alignable and treat prior-knowledge-derived feature correspondences as fully reliable, retaining them unrefined throughout the alignment process. In this work, we introduce scCotag, a co-optimal transport (COOT)-based deep learning frame-work for diagonal integration of single-cell multi-omics data, to address these limitations. scCotag first infers cell alignment and feature correspondence with prior-informed COOT in an iterative manner, and then leverages the resulting transport plans to jointly learn cell and feature embeddings via regularized barycentric mapping and graph reweighting. Systematic benchmarking on human brain, bone marrow, and blood single-cell RNA-seq and ATAC-seq datasets demonstrates the overall superior performance of scCotag over state-of-the-art methods in both cell alignment accuracy and embedding accuracy. In particular, scCotag excels in simulated imbalance scenarios where not all cells are alignable. Applying scCotag to data in postmortem brains of Alzheimers disease (AD) and non-AD (NoAD) patients further yields more fine-grained biological interpretation of regulatory mechanisms. Together, these results demonstrate that scCotag provides a robust framework for single-cell diagonal integration and regulatory inference.

bioinformatics↗

bioRxiv2025

Proteostasis Stress Drives Stem Cell Aging, Clonal Hematopoiesis and Leukemia

Aging is the primary risk factor for clonal hematopoiesis and the development of hematologic malignancies (1-5), yet the selective pressures that shape stem cell behavior and clonal expansion during aging remain poorly defined. Here, we identify proteostasis stress as a central driver of hematopoietic stem cell (HSC) aging and clonal evolution. We show that Heat shock factor 1 (Hsf1) is activated in aging HSCs to preserve proteostasis and sustain self-renewal. However, this physiological, age-associated adaptive mechanism is co-opted by pre-leukemic Dnmt3a-mutant HSCs to resist proteostasis and inflammatory stress required to fuel clonal expansion during aging. In the context of co-occurring Dnmt3a and Nras mutations, which are frequently observed in human acute myeloid leukemia (AML) (6-13), mutant HSCs and progenitors exhibit heightened dependence on Hsf1 for expansion, malignant transformation and disease progression. Loss of Hsf1, or disruption of proteostasis, impairs expansion of mutant progenitors, delays leukemia onset, and prolongs survival. Together, these findings reveal proteostasis as a key constraint in the aging hematopoietic system that imposes a selective bottleneck. Hsf1 activation enables both physiological adaptation in aging stem cells and pathological clonal outgrowth in pre-leukemic and leukemic states, establishing proteostasis control as a pivotal mechanism linking stem cell aging to clonal hematopoiesis and malignancy.

cancer biology↗

bioRxiv2025

Brain lipidomics identifies mitochondrial redox dysfunction and metabolic trade-offs associated with Parkinsons disease-like pathology induced by Nanoplastics exposure

Growing nanoplastics exposure raises concern for neurotoxicity, particularly given recent evidence of plastic accumulation within human brain tissue-a highly lipid enriched organ, yet effects on brain lipid metabolism remains poorly understood. Here, we employed high-resolution untargeted lipidomics to map brain lipid perturbations in Drosophila melanogaster chronically exposed to environmentally relevant levels of polystyrene nanoplastics (NPs). Polystyrene NPs accumulated in fly brains and induced dose-dependent remodeling of mitochondrial membrane lipids, notably cardiolipins and phosphatidylethanolamines, accompanied by increased diacylglycerols/triacylglycerols and monounsaturated fatty acids and by lipid droplet expansion. Guided by these lipidomic signatures, targeted biochemical assays demonstrated depolarized mitochondrial membrane potential, elevated mitochondrial reactive-oxygen species, inhibition of respiratory-chain complexes I and IV, and a shift in NAD(H) and NADP(H) redox couples toward a reduced state and increasing lipid peroxidation. This redox imbalance was accompanied by decreased tyrosine-hydroxylase expression, dopamine depletion, and impaired locomotor behavior, hallmarks of PD-like neurodegeneration. Dopaminergic neurochemistry was impaired (tyrosine hydroxylase and dopamine decreased), with concomitant reduction of GABA, and locomotor and circadian deficits emerged. Remarkbly, co-treatment with the antioxidant N-acetylcysteine (NAC) restored mitochondrial membrane potential, reduced mitochondrial ROS and lipid peroxidation, normalized neutral lipid and MUFA accumulation, and rescued neurotransmitter levels and behavior. Stable-isotope tracing confirmed disrupted TCA cycle flux after NP exposure that was rescued by NAC. Collectively, these findings reveal lipidomic remodeling as a critical link between environmental nanoplastic exposure and PD-like pathology, highlighting mitochondrial redox-lipid interactions as early determinants and support redox-directed interventions to mitigate risk.

neuroscience↗

bioRxiv2025

Synapse-related protein alterations and estradiol deficiency associate with early Parkinsonism in female A53T-α-synuclein transgenic mice fed on a high-fat diet

Substantial evidence highlights the detrimental impact of a fat-rich diet on cognitive and emotional behaviour. Epidemiological studies have linked the consumption of saturated fat with an increased risk of Parkinsons disease (PD), whereas a low-fat or ketogenic diet is reported to improve both motor and non-motor symptoms. Several animal model studies further support these associations. However, the impact of a high-fat diet (HFD) on sex-specific behavioural alterations and the underlying molecular mechanism in PD remains poorly studied. In the present study, we investigated the impact of HFD on PD progression in a sex-specific manner using the A53T transgenic mouse model of PD. Behavioural and pathophysiological analyses revealed a faster onset and progression of PD-like phenotype in female mice exposed to HFD compared with the male mice. Proteomics profiling of brain tissues demonstrated positive enrichment of immune system-related pathways in males, while females exhibited considerable downregulation of synapse-associated pathways under HFD conditions. The reduced estradiol level was identified as a potential factor contributing to synaptic dysfunction and the subsequent early onset of PD in female mice. These findings provide novel insights into the sex-specific consequences of HFD on PD pathogenesis and highlight the role of estrogen-linked synaptic vulnerability in mediating diet-induced PD onset.

neuroscience↗

bioRxiv2025

Screen-VarCal: An Interpretable Probabilistic Framework for Recalibrating ACMG Rule-Based Variant Classification in Preventive Medicine

Motivationhole-genome sequencing (WGS) is increasingly used for preventive genomics, yet rule-based ACMG engines such as InterVar were tuned for high pre-test probability diagnostics. In screening contexts, these heuristics can inflate pathogenic/likely pathogenic (P/LP) calls, prompting unnecessary follow-up. We sought an interpretable, data-driven recalibration tailored to proactive use. ResultsAcross 20 WGS cases, InterVar flagged 109 variants as P/LP; only 18 (16.5%) were concordant with ClinVar P/LP assertions. The remaining 83.5% were largely absent from Clin-Var (n=68) or mapped to benign/likely benign (n=13). Nearly all flagged variants (96%) were heterozygous, predominantly in autosomal recessive genes (e.g., FAM20C, MTMR2 ), indicating a dominant carrier inflation effect; recurrent loci (e.g., ATXN3, FAM20C ) further amplified yield. We introduce Screen-VarCal, an interpretable probabilistic framework that combines logistic regression with isotonic adjustment to align InterVar outputs with observed ClinVar P/LP distributions. Screen-VarCal reduced false positives by[~] 60% while retaining all ClinVar-concordant findings and yields calibrated probabilities with coefficients that transparently link ACMG evidence categories (PVS/PS/PM/PP/BS/BP) and zygosity to risk.

bioinformatics↗

bioRxiv2025

Monensin and Its Analogs Exhibit Activity Against Breast Cancer Stem-Like Cells in an Organoid Model

Monensin (MON) is a polyether ionophore antibiotic of natural origin and is an FDA-approved drug for veterinary use. Recent studies have highlighted its potential anti-cancer activity in various in vitro and in vivo models. In this study, we evaluated the anti-breast cancer activity of MON and 37 synthetic analog compounds using cell monolayer and organoid models. Through a mini-ring cell viability assay, several compounds were identified that were more potent and selective against breast cancer cells compared to non-cancerous cells, surpassing the activity of parent MON. MON and these compounds induced significant DNA fragmentation, reduced cell migration, and downregulated SOX2 expression. Furthermore, MON and the most potent analog, compound 12, reduced the percentage of CD44+/CD24-/low stem-like cells and diminished cell self-renewal properties. Proteomics analyses revealed that several pathways, including extracellular matrix organization, were significantly dysregulated by MON and compound 12 in breast cancer cells. Among these, TIMP2, a protein associated with the suppression of tumor growth and metastasis, was identified as one of the most prominently upregulated proteins by MON and compound 12 in MDA-MB-231 cells. This finding was also validated in other breast cancer and melanoma cell lines. To simulate breast cancer metastasis to the brain, a human Hybrid Organoid System: Tumor in Brain Organoid (HOSTBO) model was developed. MON and compound 12 significantly reduced Ki-67 expression within the HOSTBOs, and compound 12 significantly downregulated SOX2 expression. Collectively, MON and compound 12 significantly reduced the proliferation of breast cancer stem-like cells in the organoid models, inhibited their migration, and dysregulated markers associated with stemness, demonstrating their potential as anti-metastatic agents and warranting further clinical development. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=137 SRC="FIGDIR/small/663311v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@388862org.highwire.dtl.DTLVardef@182072dorg.highwire.dtl.DTLVardef@1a55072org.highwire.dtl.DTLVardef@447150_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

bioRxiv2025

Harnessing droplet microfluidics and morphology-based deep learning for the label-free study of polymicrobial-phage interactions

Evaluating the impact of bacteriophages on bacterial communities is required to assess the future utility of phage therapy. Methods able to study bacterial polycultures in the presence of phages are useful to mimic evolutionary pressures found in natural environments and recapitulate complex ecological contexts. Bacteriophages can drive rapid genetic and phenotypic changes in host cells. However, the presence of other bacteria can also impact bacterial densities and community structure, and classical methods remain lengthy and resource intensive. Here, we introduce a microdroplet-based encapsulation method in which bacterial co-cultures are imaged using Z-stack brightfield microscopy. The method relies on automated droplet imaging using a novel AI-based autofocus function, coupled with morphology-based deep learning models for accurate identification of two morphologically distinct bacterial species. We show that we can monitor the relative growth dynamics of P. aeruginosa and S. aureus growing in 11 picolitre droplets for up to 24 hours. We demonstrate quantification of growth rates, bacterial densities and lysis dynamics of the two species without the need for plating. We show that a potent lytic phage of P. aeruginosa can either fully lyse the initial P. aeruginosa population or keep its density low long-term when in the presence of S. aureus.

microbiology↗

bioRxiv2025

Synergistic RAS-MAPK and AKT Activation in MYC-Driven Tumors via Adjacent PVT1 Rearrangements

MYC-driven (MYC+) cancers are aggressive and often fatal. MYC dysregulation is a key event in these cancers, but overexpression of MYC alone is not always enough to cause cancer. Plasmocytoma Variant Translocation 1 (PVT1), a long non-coding RNA (lncRNA) adjacent to MYC on chromosome 8 is a rearrangement hotspot in many MYC+ cancers. In addition to being co-amplified with MYC, the genomic rearrangement at PVT1 involves translocation, which has had obscure functional consequences. We report that translocation at the PVT1 locus cause asymmetric enrichment of 5-PVT1 and loss of 3-PVT1. Despite being classified as a non-coding RNA, the retained 5 region of PVT1 generates a circular RNA (CircPVT1) that codes for the novel peptide we call Firefox (FFX). FFX augments AKT signaling and synergistically activates MYC and mTORC1 in these cells. Further, the 3 end of PVT1, which is lost during the translocation, codes for a tumor-suppressing micropeptide we named as Honeybadger (HNB). We demonstrate that HNB interacts with KRAS and disrupts the activation of KRAS effectors. Loss of HNB leads to activation of RAS/MAPK signaling pathway, and enhances MYC stability by promoting phosphorylation of MYC at Ser62. These findings identify PVT1 as a critical node that synchronizes MYC, AKT, and RAS-MAPK activities in cancer. Our study thus identifies a key mechanism by which rearrangements at the PVT1 locus activate additional oncogenic pathways that synergize with MYC to exacerbate the aggressiveness of MYC+ cancers. This newfound understanding explains the poor prognosis associated with MYC+ cancers and offers potential therapeutic targets that could be leveraged in treatment strategies for these cancers.

cancer biology↗

bioRxiv2025

Exposure to rotenone triggers redox driven systemwide lipidome alterations and metabolic tradeoffs linked to Parkinsons disease

With the global rise in aging populations, the increasing incidence of neurodegenerative diseases underscores concerns about brain health, with pesticides like rotenone, emerging as key environmental hazardous. The precise mechanism by which chronic environmental concentration of rotenone exposure causes Parkinson-like phenotype is not understood. Previous studies showed that rotenone induces depletion of dopaminergic neurons by influencing mitochondrial functions. Mitochondrial dysfunction alters lipid homeostasis; therefore, brain lipids can be potential targets for the early risk assessment and prognosis of Parkinsons disease (PD). However, the specific lipidome changes and associated biomarkers of chronic rotenone in vivo exposure causing PD are largely unknown. This study investigates the lipid profile disruptions and biomarkers induced by environmentally relevant concentrations of chronic rotenone exposure using the neuro-model Drosophila melanogaster. An untargeted LC-HRAMS-based lipidomics identified that lipid classes, GP, SP, FA and GL were significantly altered. Furthermore, system-wide loss of cross talk of mitochondrial and peroxisome lipids by altering their redox homeostasis causing PD was observed. Additionally, lipid oxidative stress markers, and behavior abnormalities correlated with altered lipids linked to PD. The findings highlight the rotenone induced complex metabolic trade-offs, prioritizing brains neural integrity at the expense of peripheral lipid levels, leading to PD. Environmental implicationThis study highlights the environmental risks of chronic rotenone exposure, commonly used in agriculture. The findings show that even low concentrations of rotenone disrupt lipid metabolism, particularly in the brain, affecting mitochondrial and peroxisomal functions, contributing to depleting dopaminergic neurons, which are linked to neurodegenerative diseases like Parkinsons. The study also identify lipid markers linked to rotenone induced PD and reveals metabolic trade-offs, where the brain prioritizes neural integrity over peripheral lipid balance. These lipidome changes and redox-driven shifts threaten both individual health and ecosystem stability, emphasizing the need for policies to regulate pesticide use and minimize exposure risks. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=145 SRC="FIGDIR/small/637453v1_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@145133aorg.highwire.dtl.DTLVardef@1f1612forg.highwire.dtl.DTLVardef@2360f0org.highwire.dtl.DTLVardef@b161f9_HPS_FORMAT_FIGEXP M_FIG Graphical abstract C_FIG

neuroscience↗

bioRxiv2025

BTK-NLRP3-Caspase1 and Gasdermin D-Caspase 11 pathways jointly drive neuroinflammation and functional impairments in a rat model of psychosocial stress

Despite serious health and economic burden, borne more prominently by lower and lower middle-income countries, pharmacotherapy for common psychiatric disorders rely on drugs altering neurotransmission, with partial efficacies. The persistence of a chronic yet sub-threshold inflammation across the periphery and the brain is well documented in the patients and animal models of these disorders and can be investigated for augmenting pharmacotherapy. IL1{beta}, a pleiotropic cytokine and a key regulator of neuroinflammation has been of particular interest in this regard. Previous studies on rodent models of anxiogenic stress show activation of a large multiprotein complex - the NLRP3 inflammasome, which increases IL1{beta} production facilitated by caspase 1, through what is considered a canonical inflammasome activation pathway. However, there exists a second non canonical inflammasome activation pathway whose impact on IL1{beta} release, inflammation and behavioral consequences remain unclear. Using rat models of physical and psychosocial stress, we observed stress-induced sex-specific upregulation of activated caspase 11 and gasdermin D N-terminal fragments, the mediators of the non-canonical inflammasome pathway that facilitates IL1{beta} release through pore formations in the plasma membrane. This is the first report of non-canonical inflammasome pathway being activated in the brain and peripheral immune cells in response to psychosocial stress. Inhibition of caspase 11 with wedelolactone, or Gasdermin D cleavage with Disulfiram reduced stress-induced elevation of IL1{beta} levels, anxiety and fear acquisition, facilitated fear extinction and recall, and improved working memory. Combination treatments targeting both canonical (ibrutinib for pBTK/NLRP3 or MCC950 for NLRP3 inhibition) and non-canonical (wedelolactone for caspase 11 or disulfiram for gasdermin D) pathways proved more efficacious in reducing stress-mediated neuroinflammation, dendritic spine elimination in the CA3 region of the hippocampus and behavioral dysfunction. Furthermore, psychosocial stress drove peripheral inflammation, in peripheral blood mononuclear cells, which was mitigated by the combination treatment. Taken together, this study reveals a novel mechanism underlying psychosocial stress involving both canonical and non-canonical inflammasome signaling to facilitate IL1{beta} induction and behavioral changes. Our finding further suggests that combined targeting of the NLRP3 inflammasome and gasdermin D could contribute to the development of future transdiagnostic therapeutic targets for stress, anxiety, and depression.

neuroscience↗

bioRxiv2025

The Binary Cellular Biology of Human Growth I Quantifying the Creation and Growth of the Body and its Parts

Assessing and understanding the Growth and Development of animals generally, and of human fetuses specifically, provides essential information for the management of the health of the newborn and its mother. Here we show that a consideration of the formation of the body, in units of numbers of cells, N, and the change in these numbers by the binary either/or decisions of cells to divide or not, an approach we call Binary Cellular Analysis, provides new insights and new equations for quantifying the growth and development of the body and its parts. These equations include: 1) The Binary Cellular Universal Growth Equation, which captures growth from conception to adulthood, and provides a method for biologically-based, data-driven, Growth Curves; 2) The Binary Cellular Universal Mitotic Fraction Equation, which lies within the Binary Cellular Universal Growth Equation, and captures the mechanism of growth to adult size, control of cell division; 3) The Binary Cellular Allometric Growth Equation, which captures the creation and growth of the Tissues, Organs, and Anatomical Structures of the body, and how the embryo creates each Body Part from a Single Founder Cell; and, 4) Binary Cellular Estimated Fetal Weight Equations, derived from the Binary Cellular Allometric Growth Equation, which captures the relationship between Ultrasound Measurement and the Size of the body as a whole. These equations capture the developmental process of Cellular Selection, resulting from Differential Cellular Proliferation, which molds the formation of the body from a single fertilized ovum into a multicellular animal. The parameters of these equations both capture the differences in Size and Growth between animals across the taxonomic spectrum, and between human fetuses, as well as identify the individual mechanisms of mitosis that drive Growth and Development. From the Binary Cellular Universal Growth Equation, the Growth of human fetuses can be measured, thus providing a much-needed tool for understanding the biological forces that cause a fetus to grow to Small, Average, or Large Size at birth, for providing the basis of biologically-based, data-driven, Growth Curves, and for assisting the management of the obstetric care of the fetus and its mother.

developmental biology↗