Biology subjects

Gupta, P.

Publications and source records attributed to Gupta, P..

At least 73 records · Page 4Linked to original sources

bioRxiv2025

Deciphering Brain Organoids Heterogeneity by Identifying Key Quality Determinants

Brain organoids derived from human pluripotent stem cells (hPSCs) hold immense potential for modeling neurodevelopmental processes and disorders. However, their experimental variability and undefined organoid selection criteria for analysis hinder reproducibility. As part of the Bavarian ForInter consortium, we generated 72 brain organoids from distinct hPSC lines. We conducted a comprehensive analysis of their morphological and cellular characteristics at an early stage of their development. In our assessment, the Feret diameter emerged as a reliable, single parameter that characterizes brain organoid quality. Transcriptomic analysis further confirmed the reliability of this marker and identified a negative impact of mesenchymal cells on the abundance of organoid formation. High-quality organoids consistently displayed a lower mesenchymal cell presence. These findings offer a framework for enhancing brain organoid standardization and reproducibility, underscoring the need for morphological quality controls and the consideration of mesenchymal cell influence on organoid-based modeling. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=186 HEIGHT=200 SRC="FIGDIR/small/632763v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@11c214org.highwire.dtl.DTLVardef@1dcb643org.highwire.dtl.DTLVardef@1420141org.highwire.dtl.DTLVardef@6074e6_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2024

Eukaryotic Translation Initiation Factor Loaded Extracellular Vesicles Promotes Macrophage Cholesterol Metabolism in ovarian cancer

Tumor-driven immune suppression poses a significant impediment to the success of immunotherapy in ovarian cancer. Among the various mechanisms contributing to immune suppression, intracellular communication facilitated by tumor-derived extracellular vesicles (EVs) within the tumor microenvironment (TME) emerges as a pivotal factor influencing tumor growth. We discovered that EVs from both ovarian tumor cell lines and the plasma of ovarian cancer patients are encapsulated with eukaryotic translation initiation factor 4E (eIF4E). Our study revealed a new mechanism showing how these EVs are loaded with eIF4E and its impact on ovarian cancer progression. We also demonstrated that eIF4E-containing EVs (eIF4E-EVs) alter protein translation in macrophages, contributing to anti-tumor immune response. Treatment of macrophages with eIF4E-EVs induces an immunosuppressive phenotype marked by the release of cytokines such as IL-6 and an elevated expression of Programmed death-ligand 1 (PD-L1). Notably, eIF4E-packaged EVs enhance the expression of 3-hydroxy-3-methyl-glutaryl-coenzyme A reductase (HMGCR) a pivotal enzyme in cholesterol biosynthesis, resulting in increased cholesterol levels within macrophages. Inhibition of HMGCR or reduction of cholesterol in macrophages effectively restores their antitumor activity by decreasing PD-L1 on macrophages. Analysis of tumor tissue from ovarian cancer patients revealed a positive correlation between HMGCR and TAM in ovarian cancer. In summary, we have characterized the mechanism of how eIF4E loaded EVs induced cholesterol synthesis, creating an immunosuppressive environment by upregulating PD-L1 expression in macrophages.

cancer biology↗

bioRxiv2024

CrGEF1, CrGAP1, and CrGDI2 function as key regulators of ROP-GTPase mediated modulation of alkaloid biosynthesis in Catharanthus roseus

ROP-GTPase Regulatory Proteins (RGRPs) have been shown to control plant morphogenesis, development and immunity, however, their role in specialized metabolism is hitherto not known. Here, we demonstrate that specific RGRPs control monoterpene indole alkaloid (MIA) biosynthesis by interacting with distinct Rho of Plants (ROP) in Catharanthus roseus. Among the five Guanine nucleotide Exchange Factors (GEFs), four GTPase-activating proteins (GAPs), and two GDP dissociation inhibitors (GDIs) identified in the C. roseus genome, only CrGEF1, CrGAP1, and CrGDI2 specifically interacted with CrROP3 and CrROP5. These RGRPs displayed distinct cytosolic and/or membrane localization patterns, with their transcripts predominantly expressed in aerial tissues. Functional studies revealed that CrGEF1 acts as a positive regulator of MIA biosynthesis, as its silencing led to a reduction in MIA production, while overexpression enhanced MIA levels. Conversely, CrGAP1 and CrGDI2 function as negative regulators, with their silencing resulting in increased MIA production and their overexpression causing reduced MIA levels. Notably, terminal truncated forms of these RGRPs showed interaction with CrROP3 or CrROP5 but failed to influence MIA biosynthesis, underscoring the importance of these domains in their regulatory functions. Overall, our findings uncover a previously unexplored mechanism by which distinct RGRPs coordinate with specific ROPs to regulate transcription factors and fine-tune MIA biosynthesis in C. roseus. SignificancePlants fine-tune their metabolic pathways to adapt to environmental and physiological cues, balancing primary and specialized metabolism. Here, we uncover a feedback regulatory mechanism by which ROP-GTPase regulatory proteins (RGRPs) control alkaloid biosynthesis in Catharanthus roseus. We found that CrGEF1, CrGAP1, and CrGDI2 specifically interact with ROP-GTPases CrROP3 and CrROP5, modulating the monoterpene indole alkaloid (MIA) pathway. This RGRP-ROP module plays a crucial role in dynamically regulating MIA levels, where CrGEF1 promotes MIA production while CrGAP1 and CrGDI2 act as negative regulators. These findings highlight the importance of RGRP-ROP circuitry in control of alkaloid biosynthesis in C. roseus, and specialized metabolism in plants.

plant biology↗

bioRxiv2024

Comparative transcriptomic profile reveals candidate genes manipulated by type III effectors of Pantoea agglomerans pv. betae leading to gall formation in beet

Pantoea agglomerans pv. betae (Pab) induces tumor-like galls in beet and gypsophila, a process mediated by the secretion of effector proteins via Pabs type III secretion system (T3SS). The molecular mechanisms underlying Pab-induced gall formation remain largely unexplored. This study delves into the cellular architecture and transcriptional profile of Pab-mediated galls, comparing host responses to wild-type Pab and a T3SS-inactive mutant, hrcC-. Morphological analysis using scanning electron microscopy and cross-sectional visualization of infected beet leaf tissues revealed that Pab-induced gall-like structures are linked to cell hyperplasia and tissue ruptures, contingent on T3SS activity. Comparative transcriptome analysis of wild-type Pab and hrcC- Pab-infected beet leaves at 12 and 48 hours unveiled significant transcriptional reprogramming, with nearly 2,000 differentially expressed genes at 48 hours post inoculation. Enrichment analyses identified the upregulation of pathways related to signal transduction, defense, carbohydrate metabolism, and cell wall modulation in wild-type Pab-infected leaves compared to controls. Particularly notable was the significant upregulation of numerous genes associated with cell wall loosening by wild-type Pab, suggesting an initial rearrangement of cell wall architecture facilitates gall formation. Furthermore, transcriptome analysis demonstrated that wild-type Pab suppresses the expression of the betalain biosynthetic gene DOPA 4,5-DIOXYGENASE, leading to reduced betalain accumulation in infected tissues compared to the mutant strain. These findings offer fresh insights into the transcriptional and physiological manipulation of host tissue during the early stages of Pab-induced gall formation.

plant biology↗

bioRxiv2024

The conserved landscape of RNA modifications and transcript diversity across mammalian evolution

Gene expression programs underpin the development of shared phenotypes, yet the importance of transcript complexity in shaping mammalian evolution remains unclear. Here we present a comprehensive long-read direct RNA sequencing atlas of full-length transcripts and their m6A modifications across six tissues (hippocampus, frontal cortex, cerebellum, testes, skeletal muscle, and liver) in five mammals (human, mouse, rat, dog, and cow) and a non-mammalian out-group (chicken). Our analysis reveals that 29% of genes have multiple mammalian-conserved alternative transcripts, with 31% of these genes showing tissue-specific switching of the major transcript isoforms. We uncover extensive conservation of coordinated splicing events, primarily driven by tissue-specific mutually associated exon splicing, particularly in neural tissues and cytoskeletal genes. At the epitranscriptome level, we find that 14.2% of m6A RNA modifications are conserved across mammals, with 39% of analysed genes containing a conserved m6A RNA modification. Our work provides unprecedented insight into the evolution of transcript complexity and the epitranscriptome, highlighting their potential roles in shaping mammalian phenotypic diversity and providing a valuable resource for understanding post-transcriptional regulation across mammalian evolutionary time.

genomics↗

bioRxiv2024

CHK1-mediated regulation of TOP1 catalytic activity suppresses replication and transcription-associated genomic instability

The Topoisomerase 1 (TOP1) catalytic cycle involves a TOP1-DNA-covalent-complex (TOP1cc), which, if stabilized, can induce rapid accumulation of potentially lethal DNA double strand breaks (DSBs). Although TOP1cc are critically associated with genome instability, it is not yet precisely known how cells regulate TOP1cc level, under unperturbed physiological-condition, to prevent its accumulation and lethal consequences. We discovered a key role of CHK1 in phosphorylating TOP1 at Serine-320 and stimulating TOP1-catalytic cycle to minimise genome wide accumulation of TOP1cc in cancers. Pharmacological or genetic ablation of CHK1-mediated TOP1-phosphorylation leads to stalled replication forks and generates copious amounts of replication/transcription-associated DSBs, R-loops and transcription-replication collisions, eventually leading to chromosomal instability. Further, TOP1ccs stabilized due to CHK1 inhibition are not efficiently targeted by cellular TOP1cc-removal machineries. Since multiple patient clinical trials are ongoing with TOP1- and CHK1-targeting drugs, current finding of CHK1-mediated regulation of TOP1cc may help in better understanding the therapeutic outcomes.

cancer biology↗

bioRxiv2024

Age-induced BMP signaling inhibits the ICAT-mediated Wnt pathway to promote osteoarthritis.

Osteoarthritis (OA) is a highly prevalent and debilitating musculoskeletal disorder that affects billions of aging individuals worldwide, causing chronic pain, impaired mobility, and a substantial decline in quality of life, yet effective disease-modifying therapies remain unavailable. Moreover, existing experimental models, however, inadequately capture the complex, age-related factors that contribute to OA pathogenesis, limiting our understanding of underlying molecular mechanisms and hindering therapeutic development. To address this gap, we examined mouse articular cartilage (AC) during natural aging, without surgical or chemical intervention. In young AC, BMP ligand expression is restricted to the bone-cartilage junction, limiting BMP signaling despite widespread BMPR1A receptor expression, while Wnt/{beta}-catenin signaling predominates in the outer layers. With aging, BMP ligand expression expands throughout the cartilage, leading to widespread activation of BMP signaling, which induces ICAT expression, a known inhibitor of Wnt/{beta}-catenin signaling. This elevated BMP signaling triggers chondrocyte hypertrophy while concurrently suppressing Wnt/{beta}-catenin activity. Moreover, genetic or pharmacological activation of BMP signaling in young AC recapitulates the cellular and molecular features of aged cartilage, independent of chronological age. Collectively, our findings demonstrate that an age-dependent shift in BMP-Wnt signaling disrupts AC homeostasis and drives OA progression in mice. Author SummaryDespite the prevalence of osteoarthritis in aging individuals, there are no effective treatments that can stop or reverse disease progression. In this study, we investigated how joint cartilage changes during natural aging in mice. We observed that healthy, young articular cartilage exhibits robust Wnt/{beta}-catenin with minimal BMP siganling. With age, this balance shifts, with BMP signaling becoming dominant, coupled with reduced Wnt/{beta}-catenin activity. This disruption of Wnt-BMP homeostasis induces the pathogenesis of OA. Importantly, local inhibition of BMP signaling significantly alleviates the severity of the disease. Overall, these results show that age-associated changes in key signaling pathways drive OA progression and suggest potential targets for therapeutic intervention. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=108 SRC="FIGDIR/small/616036v2_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@b2be12org.highwire.dtl.DTLVardef@dcb1f3org.highwire.dtl.DTLVardef@126fc40org.highwire.dtl.DTLVardef@7af96c_HPS_FORMAT_FIGEXP M_FIG C_FIG

pathology↗

bioRxiv2024

RCoxNet: deep learning framework for enhanced cancer survival prediction integrating random walk with restart with mutation and clinical data

Cancer poses a significant global health challenge, characterized by a complex disease progression and disrupted growth regulation. A thorough understanding of cellular and molecular biological mechanisms is essential for developing novel treatments and improving the accuracy of patient survival predictions. While prior studies have leveraged gene expression and clinical data to forecast survival outcomes through current machine learning and deep learning approaches, gene mutation data--despite being a widely recognized metric--has rarely been incorporated due to its limited information, inadequate representation of gene relationships, and data sparsity, which negatively affects the robustness, effectiveness, and interpretability of current survival analysis approaches. To overcome the challenges of mutation data sparsity, we propose RCoxNet, a novel deep learning neural network framework that integrates the Random Walk with Restart (RWR) algorithm with a deep learning Cox Proportional Hazards model. By applying this framework to mutation data from cBioportal, our model achieved an average concordance index of 0.62 {+/-} 0.05 across four cancer types, outperforming existing deep neural network models. Additionally, we identified clinical features critical for differentiating between predicted high- and low-risk patients, with the relevance of these features being partially supported by previous studies.

bioinformatics↗

bioRxiv2024

The intersection of endocrine signaling and neuroimmune communication regulates neonatal nociception

Neonatal pain is a significant clinical issue but the mechanisms by which pain is produced early in life are poorly understood. Our recent work has linked the transcription factor serum response factor downstream of local growth hormone (GH) signaling to incision-related hypersensitivity in neonates. However, it remains unclear if similar mechanisms contribute to inflammatory pain in neonates. We found that local GH treatment inhibited neonatal inflammatory myalgia but appeared to do so through a unique signal transducer and activator of transcription (STAT) dependent pathway within sensory neurons. The STAT1 transcription factor appeared to regulate peripheral inflammation itself by modulation of monocyte chemoattractant protein 1 (MCP1) release from sensory neurons. Data suggests that STAT1 upregulation, downstream of GH signaling, contributes to neonatal nociception during muscle inflammation through a novel neuroimmune loop involving cytokine release from primary afferents. Results could uncover new ways to treat muscle pain and inflammation in neonates. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=132 SRC="FIGDIR/small/605393v2_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@18b0bdorg.highwire.dtl.DTLVardef@fb5ee9org.highwire.dtl.DTLVardef@114179aorg.highwire.dtl.DTLVardef@19979b_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2024

Selective promotion of oligonucleotides in the course of evolution

Evolution shapes the structure and content of genomes, yet the contribution of local sequence composition to variant selection remains poorly understood. While traditional models emphasize protein function or cross-species conservation, we propose that intra-genomic patterns of oligonucleotide (k-mer) frequencies also reflect selective forces. To explore this, we developed kGain score, a metric that quantifies the frequency shift of a k-mer upon single-nucleotide substitution, using the surrounding genomic context as a baseline. We hypothesize that variants arising in high-kGain contexts are more likely to persist due to evolutionary favorability. We validated this hypothesis across multiple systems. In E. coli and S. cerevisiae long-term evolution experiments, we found that fixed, essential, and parallel mutations consistently show elevated kGain scores. This trend held in SARS-CoV-2 variants of concern and in an in-house antibiotic adaptation experiment, where a high-kGain fusA Y515N mutation conferred resistance and maintained fitness when overexpressed, demonstrating a causal link between kGain and adaptive potential. To enable cross-species generalization, we trained a transformer-based neural network regressor on LTEE-derived mutations to predict kGain from sequence alone. The model achieved high correlation in held-out in-domain data (Pearson r = 0.81) and accurately predicted kGain trends in out-of-domain data (Pearson r = 0.82), demonstrating that k-mer-based sequence constraints learned from one genome can be effectively transferred to others. Together, our results establish kGain as a biologically meaningful, scalable metric for probing within-genome sequence selection, offering a complementary lens to existing conservation-based frameworks for understanding evolutionary fitness and variant persistence.

evolutionary biology↗

bioRxiv2024

Kingdom-specific lipid unsaturation shapes up sequence evolution in membrane arm subunits of eukaryotic respiratory complexes

Sequence evolution of protein complexes (PCs) is constrained by protein-protein interactions (PPIs). PPI-interfaces are predominantly conserved and hotspots for disease-related mutations. How lipid-protein interactions (LPIs) constrain sequence evolution of membrane- PCs? We explore Respiratory Complexes (RCs) as a case study as these allow to compare sequence evolution in subunits exposed to both lipid-rich inner-mitochondrial membrane (IMM) and aqueous matrix. We find that lipid-exposed surfaces of the IMM-subunits but not of the matrix subunits are populated with non-PPI disease-causing mutations signifying LPIs in stabilizing RCs. Further, IMM-subunits including their exposed surfaces show high intra- kingdom sequence conservation but remarkably diverge beyond. Molecular Dynamics simulation suggests contrasting LPIs of structurally superimposable but sequence-wise diverged IMM-exposed helices of Complex I (CI) subunit Ndufa1 from human and Arabidopsis depending on kingdom-specific unsaturation of cardiolipin fatty acyl chains. in cellulo assays consolidate inter-kingdom incompatibility of Ndufa1-helices due to the lipid- exposed amino acids. Plant-specific unsaturated fatty acids in human cells also trigger CI- instability. Taken together, we posit that altered LPIs calibrate sequence evolution at the IMM-arms of eukaryotic RCs.

cell biology↗

bioRxiv2024

An Autonomous Implantable Device for the Prevention of Death from Opioid Overdose

Opioid overdose accounts for nearly 75,000 deaths per year in the United States, representing a leading cause of mortality amongst the prime working age population (25-54 years). At overdose levels, opioid-induced respiratory depression becomes fatal without timely administration of the rescue drug naloxone. Currently, overdose survival relies entirely on bystander intervention, requiring a nearby person to discover and identify the overdosed individual, and have immediate access to naloxone to administer. Government efforts have focused on providing naloxone in abundance but do not address the equally critical component for overdose rescue: a willing and informed bystander. To address this unmet need, we developed the Naloximeter: a class of life-saving implantable devices that autonomously detect and treat overdose, with the ability to simultaneously contact first-responders. We present three Naloximeter platforms, for both fundamental research and clinical translation, all equipped with optical sensors, drug delivery mechanisms, and a supporting ecosystem of technology to counteract opioid-induced respiratory depression. In small and large animal studies, the Naloximeter rescues from otherwise fatal opioid overdose within minutes. This work introduces life-changing, clinically translatable technologies that broadly benefit a susceptible population recovering from opioid use disorder.

bioengineering↗

bioRxiv2024

Phylogenetically distant enzymes localized in cytosol and plastids drive citral biosynthesis in lemongrass

Except for the genetic basis of citral-forming alcohol dehydrogenases (ADHs) in Litsea cubeba tree, and biochemical studies on citral-forming enzymes from select plants, knowledge regarding in-planta biosynthesis of citral and its metabolic origin remains limited. Here, we have elucidated the functions of an ADH (CfADH1) and an aldoketo-reductase (CfAKR2b) in citral biosynthesis in lemongrass (Cymbopogon flexuosus), one of the most cultivated aromatic crops for its citral-rich essential oil. Expression of both CfADH1 and CfAKR2b showed correlation with citral accumulation in different developmental stages. Recombinant CfADH1 and CfAKR2b, despite their sequence unrelatedness, exhibited similar kinetic properties and formed citral from geraniol with NADP cofactor. Virus-induced gene silencing in lemongrass, and transient expression in lemon balm (Melissa officinalis), demonstrated the in-planta involvement of CfADH1 and CfAKR2b in citral biosynthesis. While CfADH1 exhibited a dual cytosolic/plastidial localization, CfAKR2b was localized to cytosol. Moreover, feeding lemongrass seedlings with mevalonate- and methylerythritol-phosphate-pathway specific inhibitors combined with volatile profiling supported the role of both pathways in citral formation. Our results demonstrate phylogenetically distant enzymes localized in cytosol and plastids drive citral biosynthesis in lemongrass, indicating an evolutionary scenario aimed at maximizing the utilization of precursor pools from both cytosolic and plastidial pathways for high citral production.

plant biology↗

bioRxiv2024

Estrogen receptor-related receptor (Esrra) induces ribosomal protein Rplp1-mediated adaptive hepatic translation during prolonged starvation

Protein translation is an energy-intensive ribosome-driven process that is reduced during nutrient scarcity to conserve cellular resources. During prolonged starvation, cells selectively translate specific proteins to enhance their survival (adaptive translation); however, this process is poorly understood. Accordingly, we analyzed protein translation and mRNA transcription by multiple methods in vitro and in vivo to investigate adaptive hepatic translation during starvation. While acute starvation suppressed protein translation in general, proteomic analysis showed that prolonged starvation selectively induced translation of lysosome and autolysosome proteins. Significantly, the expression of the orphan nuclear receptor, estrogen-related receptor alpha (Esrra) increased during prolonged starvation and served as a master regulator of this adaptive translation by transcriptionally stimulating 60S acidic ribosomal protein P1 (Rplp1) gene expression. Overexpression or siRNA knockdown of Esrra expression in vitro or in vivo led to parallel changes in Rplp1 gene expression, lysosome/autophagy protein translation, and autophagy. Remarkably, we have found that Esrra had dual functions by not only regulating transcription but also controling adaptive translation via the Esrra/Rplp1/lysosome/autophagy pathway during prolonged starvation.

molecular biology↗

bioRxiv2023

A tomato ethylene-insensitive mutant displays altered growth and higher β-carotene levels in fruit

The mutants insensitive to ethylene are helpful in deciphering the role of ethylene in plant development. We isolated an ethylene-insensitive tomato (Solanum lycopersicum) mutant by screening for acetylene-resistant (atr-1) seedlings. The atr-1 mutant displayed resistance to kinetin, suggesting attenuation of the ethylene sensing response. atr-1 also exhibited resistance to ABA- and glucose-mediated inhibition of seed germination. Unlike the Never- ripe (Nr) mutant, atr-1 seedlings were resistant to glucose, indicating ethylene sensing in atr-1 is located in a component distinct from Nr. Metabolically, atr-1 seedlings had lower levels of amino acids but higher levels of several phytohormones, including ABA. atr-1 plants grew faster and produced more flowers, leading to a higher fruit set. However, the atr- 1 fruits took a longer duration to reach the red-ripe (RR) stage. The ripened atr-1 fruits had higher {beta}-carotene levels, retained high {beta}-carotene and lycopene levels post-RR stage. The metabolome profiles of post-RR stage atr-1 fruits revealed increased levels of sugars. The atr-1 had a P279L mutation in the GAF domain of the ETR4, a key ethylene receptor regulating tomato ripening. Our study highlights that novel alleles in ethylene receptors may aid in enhancing the nutritional quality of tomato.

plant biology↗

bioRxiv2023

Analysis of root volatiles and functional characterization of a root-specific germacrene A synthase in Artemisia pallens

Davana (Artemisia pallens) is a valuable aromatic herb within the Asteraceae family, highly prized for its essential oil (EO) produced in the aerial parts. However, the root volatiles and their specific composition, and genes responsible for root volatiles have remained unexplored until now. Here, we show that A. pallens roots possess distinct oil bodies and yields [~]0.05% of EO, which is primarily composed of sesquiterpenes {beta}-elemene, neryl isovalerate, {beta}-selinene, and -selinene, and trace amounts of monoterpenes {beta}-myrcene, D-limonene. This shows that, besides aerial parts, roots of davana can also be a source of unique EO. Moreover, we functionally characterized a terpene synthase (ApTPS1) that exhibited high in silico expression in the root transcriptome. The recombinant ApTPS1 showed the formation of {beta}-elemene and germacrene A with E,E-farnesyl diphosphate (FPP) as a substrate. Further, detailed analysis of assay products revealed that {beta}-elemene was the thermal rearrangement product of germacrene A. Furthermore, the functional expression of ApTPS1 in Saccharomyces cerevisiae confirmed the in vivo {beta}-elemene/germacrene A synthase activity of ApTPS1. At the transcript level, ApTPS1 displayed predominant expression in root, with significantly lower level of expression in other tissues. This expression pattern of ApTPS1 positively correlated with the tissue-specific accumulation level of {beta}-elemene. Overall, these findings provide fundamental insights into the EO profile of davana roots, and the contribution of ApTPS1 in the formation of a major root volatile. Main conclusionThe study demonstrated that Artemisia pallens roots can be a source of terpene-rich essential oil and root-specific ApTPS1 forms germacrene-A contributing to major root volatiles.

plant biology↗

bioRxiv2023

Mechanical imbalance between normal and cancer cells drives epithelial defence against cancer

Cell competition in epithelial tissue eliminates transformed cells expressing activated oncoproteins to maintain epithelial homeostasis. Although the process is now understood to be of mechanochemical origin, direct mechanical characterization and associated biochemical underpinnings are lacking. Here, we employ tissue-scale stress and compressibility measurements and theoretical modeling to unveil a mechanical imbalance between normal and transformed cells, which drives cell competition. In the mouse intestinal epithelium and epithelial monolayer, transformed cells get compacted during competition. Stress microscopy reveals an emergent compressive stress at the transformed loci leading to this compaction. A cell-based self-propelled Voronoi model predicts that this compressive stress originates from a difference in the collective compressibility of the competing populations. A new collective compressibility measurement technique named gel compression microscopy then elucidates a two-fold higher compressibility of the transformed population than the normal population. Mechanistically, weakened cell-cell adhesions due to reduced junctional abundance of E-cadherin in the transformed cells render them collectively more compressible than normal cells. Taken together, our findings unveil a mechanical basis for epithelial homeostasis against oncogenic transformations with implications in epithelial defense against cancer.

biophysics↗

bioRxiv2023

A Parasite Odyssey: An RNA virus concealed in Toxoplasma gondii

We are entering a "Platinum Age of Virus Discovery", an era marked by exponential growth in the discovery of virus biodiversity, and driven by advances in metagenomics and computational analysis. In the ecosystem of a human (or any animal) there are more species of viruses than simply those directly infecting the animal cells. Viruses can infect all organisms constituting the microbiome, including bacteria, fungi, and unicellular parasites. Thus the complexity of possible interactions between host, microbe, and viruses is unfathomable. To understand this interaction network we must employ computationally-assisted virology as a means of analyzing and interpreting the millions of available samples to make inferences about the ways in which viruses may intersect human health. From a computational viral screen of human neuronal datasets, we identified a novel narnavirus Apocryptovirus odysseus (Ao) which likely infects the neurotropic parasite Toxoplasma gondii. Previously, several parasitic protozoan viruses (PPVs) have been mechanistically established as triggers of host innate responses, and here we present in silico evidence that Ao is a plausible pro-inflammatory factor in human and mouse cells infected by T. gondii. T. gondii infects billions of people worldwide, yet the prognosis of toxoplasmosis disease is highly variable, and PPVs like Ao could function as a hitherto undescribed hypervirulence factor. In a broader screen of over 7.6 million samples, we explored phylogenetically-proximal viruses to Ao and discovered 19 Apocryptovirus species, all found in libraries annotated as vertebrate transcriptome or metatranscriptomes. While the Narnavirus samples making up this genus-like clade are derived from sheep, goat, bat, rabbit, chicken, and pigeon samples, the presence of virus is strongly predictive of parasitic (Apicomplexa) nucleic acid co-occurrence, supporting that these are a clade of parasite-infecting viruses. This is a computational proof-of-concept study in which we rapidly analyze millions of datasets from which we distilled a mechanistically, ecologically, and phylogenetically refined hypothesis. We predict this highly diverged Ao RNA virus is biologically a T. gondii infection, and that Ao, and other viruses like it, will modulate this disease which afflicts billions worldwide.

microbiology↗