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Gupta, M.

Publications and source records attributed to Gupta, M..

At least 55 records · Page 3Linked to original sources

Quantitative MRI Measurements Capture Pancreatic Cancer and Stroma Reactions to New KRAS Inhibitor

PurposeIn pancreatic ductal adenocarcinoma (PDAC), KRAS mutations drive both cancer cell growth and formation of a dense stroma. Small molecule KRAS inhibitors (KRASi) represent a promising new treatment hence clinical tools that can assess early response, detect resistance and/or predict prolonged survival are desirable to understand clinical biology of KRASi. We hypothesized that diffusion-weighted MRI (DWI) can detect cell death while dynamic contrast enhanced MRI (DCE) and magnetization transfer ratio (MTR) imaging are sensitive to tumor microenvironment changes, and these metrics shed insights into tumor size change induced by KRASi treatment. Experimental DesignMultiple preclinical PDAC models including a genetically engineered mouse model (KPC) received MRTX1133, a KRASi specific for KRASG12D mutation. Quantitative imaging markers were corroborated with immunohistochemistry (IHC) analyses. ResultsSignificant increase of tumor apparent diffusion coefficient (a DWI metric) was detected as early as 48h and persisted to Day7 after initiation of KRASi treatment and was strongly correlated with cell death and reduced cellularity, resulting in greatly prolonged median survival in treated mice. Capillary perfusion/permeability (a DCE metric) exhibited an inverse relationship with microvascular density. Distinct responses of KRASG12C versus KRASG12D tumors to MRTX1133 were captured by the MRI metrics corroborated with IHC. When tumors developed resistance to MRTX1133, the imaging marker values exhibited a reversal from those of responding tumors. ConclusionsMultiparametric MRI provides early biological insights of cancer and stromal response to KRASi treatment and sets the stage for testing the utility of these clinically ready MRI methods in patients receiving KRASi therapy. Translational relevanceEmerging small molecule KRAS inhibitors (KRASi) represent a new class of therapy for PDAC. Clinical tools that can provide early biological insights of KRASi therapy are desirable. In PDAC models, we examined a clinically ready imaging protocol that combines MRI-based tumor size, diffusion-weighted MRI (DWI), dynamic contrast enhanced MRI (DCE), and magnetization transfer ratio (MTR) for detection of early response as well as acquired resistance to MRTX1133, a KRASi being evaluated in clinical trials. Our data show that DWI and DCE metrics provided key insights of significant cell death and tumor microenvironment changes underlying tumor size regression as early as 48 hours after KRASi treatment initiation. These MRI metrics also captured resistance to KRASi developed over prolonged treatment. This study has high translational relevance by employing clinically applied MRI methods, an investigational new drug and a genetically engineered mouse model that recapitulates salient features of human PDAC.

cancer biology↗

miRNA Biomarkers in Prostate Cancer: Leveraging Machine Learning for Improved Diagnostic Accuracy

Prostate cancer (PCa) diagnosis often relies on prostate-specific antigen (PSA) testing, but its high false-positive rates often lead to unnecessary biopsies. MicroRNAs (miRNAs) have emerged as promising non-invasive biomarkers for cancer detection due to their stability in biological fluid and disease specificity. Despite their potential, the clinical translation of miRNAs as non-invasive cancer biomarkers is hindered by several challenges - population-based variability, environmental Factors, methodological Inconsistencies, lack of standardization, normalization Issues, and complexity of the biological System. These factors significantly impact the consistency of miRNA expression readouts, particularly in terms of Ct-values, across different studies, which in turn affects the determination of cutoff values that are crucial in a diagnostic setup. This preliminary study offers a pilot demonstration for integrating miRNA biomarker expression with machine learning (ML), which can help identify patterns and improve classification, potentially reducing the reliance on fixed cutoff values in certain contexts and pave the path to wider clinical translation. We analyzed the expression of key miRNAs (miR-21-5p, miR-221-3p, and miR-141-3p) in blood samples from patients with PCa and benign prostatic hyperplasia (BPH). Utilizing a Random Forest classifier, we achieved an accuracy of 77.42%, a precision of 86.21%, a recall of 71.43%, and an AUC-ROC score of 0.78. The application of ML enabled us to leverage complex features, such as combinations and ratios of miRNA expression data, which enhanced the robustness and reliability of the diagnostic model. Additionally, bioinformatics analysis of the preferential features identified by the ML model confirmed the biological relevance of these miRNAs in PCa-related pathways, further supporting their potential as clinical biomarkers. In the future, ML is poised to significantly enhance diagnostic performance compared to traditional linear analyses of a limited set of biomarkers. While our study did not explore multiple populations or the effects of methodological variables, it highlights the potential of ML by demonstrating improved accuracy and eliminating the need for cutoff values. This capability could broaden the applicability of miRNA-based diagnostics, making them more reliable and actionable in clinical settings. However, to fully realize this potential, further validation with larger and more diverse cohorts is essential. Overall, this study lays the groundwork for utilizing ML-enhanced miRNA panels as powerful tools for the early and non-invasive diagnosis of PCa in future clinical practice. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=130 SRC="FIGDIR/small/618146v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@2eddd9org.highwire.dtl.DTLVardef@e6d6c8org.highwire.dtl.DTLVardef@11eea0forg.highwire.dtl.DTLVardef@989c15_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗

Pituitary adenylate cyclase-activating polypeptide (PACAP) overexpression in the paraventricular nucleus of the thalamus alters motivated and affective behavior in female rats

BackgroundPituitary adenylate cyclase-activating polypeptide (PACAP) has been found to be involved in a wide range of motivated and affective behaviors. While the PACAP-38 isoform is more densely expressed than PACAP-27 in most of the brain, PACAP-27 is more highly expressed in the rodent paraventricular nucleus of the thalamus (PVT), where females also have greater expression than males. Notably, the role of PACAP-27 expression in cells of the PVT has not been explored. MethodsAdult, female Long-Evans rats were injected in the PVT with an AAV to increase expression of PACAP or a control AAV. They were then investigated for subsequent gene and peptide levels of PACAP in the PVT; ethanol drinking and preference; sucrose drinking and preference; or locomotor activity in a novel chamber, behavior in a light-dark box, behavior in a novelty suppression of feeding test, locomotor activity in a familiar activity chamber, and behavior in a forced swim test. ResultsGene expression of PACAP was significantly increased in the PVT by four weeks after injection with the PACAP AAV, and this resulted in a specific increase in levels of PACAP-27. Rats injected with the PACAP AAV demonstrated reduced drinking and preference for ethanol under the intermittent-access procedure compared to those injected with the control AAV. In contrast, rats injected with the PACAP AAV showed no significant difference in drinking or preference for sucrose, or in any affective behavior tested, except that they spent less time swimming in the forced swim test. ConclusionsIn light of the low overall level of expression of PACAP-27 in the brain, the ability of PACAP-27 in the PVT to control ethanol drinking, with minimal effects on other motivated or affective behaviors, supports the idea that compounds related to PACAP-27 should be investigated as potential therapeutics for the treatment of alcohol use disorder.

neuroscience↗

Microbiota drives the sexually dimorphic infection outcomes in mealworm beetles

Sexually dimorphic responses to pathogenic infections in animals may stem from sex-specific differences in their life history and immune investment. Recent evidence highlights that such sex-specific variations in immune responses can also be critically regulated by microbiota. However, direct experiments to test how microbiota jointly impacts sex-specific immunity and vulnerability to pathogens are still limited. To this end, we used Tenebrio molitor beetles to first establish that sexes appear to differ in their microbiota composition and infection responses. Females were more vulnerable to bacterial infections and carried a higher bacterial load than males. When we depleted the microbiome, only females improved their post-infection survival, leading to a loss of sex-specific infection outcomes. Males, on the other hand, remained unaffected. Microbiota reconstitution (via feeding on faecal matter) of microbiota-depleted females increased their susceptibility to infection again, restoring the sexual dimorphism. We thus found a causal association between microbiome and infection responses. We also found reduced expression of an antimicrobial peptide tenecin 1 in females, which could be associated with their higher infection susceptibility, but such immune gene-vs-phenotypic associations were not consistent across microbiota manipulations. Immune strategies that are required to mediate the causal links between microbiome and infection response might thus vary with microbiota manipulations, warranting future investigations.

evolutionary biology↗

Structure and inhibition mechanisms of Mycobacterium tuberculosis essential transporterefflux protein A

A broad chemical genetics screen in Mycobacterium tuberculosis (Mtb) to identify inhibitors of established or previously untapped targets for therapeutic development yielded compounds (BRD-8000.3 and BRD-9327) that inhibit the essential efflux pump EfpA. To understand the mechanisms of inhibition by these compounds, we determined the structures of EfpA with inhibitors bound at 2.7 -3.4 [A] resolution. Our structures reveal different mechanisms of inhibition for the two inhibitors. BRD-8000.3 binds in a tunnel making contact with the lipid bilayer and extending toward the central cavity to displace the fatty acid chain of a lipid molecule bound in the apo structure, suggesting its blocking of an access route for a natural lipidic substrate, in contrast to its uncompetitive mechanism for the small molecule substrate ethidium bromide which likely enters through an alternative tunnel. Meanwhile, BRD-9327 binds in the outer vestibule without complete blockade of the substrate path to the outside, suggesting its possible inhibition of the dynamical motion necessary for "alternate access" to the two different sides of the membrane, as is characteristic of major facilitator superfamily (MFS) transporters. Both inhibitors may have a role in inhibiting the "alternate access" mechanism that could account for the uncompetitive nature of their efflux of some substrates. Our results explain the basis of the synergy of these inhibitors and their potential for combination in a multi drug strategy for anti-tuberculosis therapy. They also potentially point to a possible function for this essential efflux pump as a lipid transporter. The structures provide a foundation for rational modification of these inhibitors to increase potency.

biochemistry↗

Inpp5e is a Critical Regulator of Protein Transport to Photoreceptor Outer Segments

In humans, inositol polyphosphate-5-phosphatase e (INPP5E) mutations cause retinal degeneration as part of Joubert and MORM syndromes and can also cause non-syndromic blindness. In mice, mutations cause a spectrum of brain, kidney, and other anomalies and prevent the formation of photoreceptor outer segments. To further explore the function of Inpp5e in photoreceptors, we generated conditional and inducible knockouts of mouse Inpp5e where the gene was deleted either during outer segment formation or after outer segments were fully formed. In both cases, the loss of Inpp5e led to severe defects in photoreceptor outer segment morphology and ultimately photoreceptor cell loss. The primary morphological defect consisted of outer segment shortening and reduction in the number of newly forming discs at the outer segment base. This was accompanied by structural abnormalities of the Golgi apparatus, mislocalized rhodopsin, and an accumulation of extracellular vesicles. In addition, knockout cells showed a reduction in the size and prevalence of the actin network at the site of new disc morphogenesis and the occasional formation of membrane whorls instead of discs in a subset of cells. Together, these data demonstrate that Inpp5e plays a critical role in maintaining the outer segment and the normal process of outer segment renewal depends on the activity of this enzyme.

cell biology↗

The progression of infiltrating neurovascular features and chemokine production of the caudal intervertebral disc following injury

Inflammatory cytokine production and de novo neurovascularization have been identified in painful, degenerated intervertebral discs (IVDs). However, the temporal trajectories of these key pathoanatomical features, including the cascade of inflammatory chemokines and neo-vessel and neurite infiltration, and their associations with IVD degeneration, remain relatively unknown. Investigating this process in the caudal mouse IVD enables the opportunity to study the tissue-specific response without confounding inflammatory signaling from neighboring structures. Thus this study aims to define the progression of chemokine production and neurovascular invasion during the IVD degeneration initiated by injury in the caudal spine 3-month-old C57BL6/J mice. Forty-nine IVD-secreted chemokines and matrix metalloproteinases (MMPs) was measured using multiplex ELISA, and the intradiscal infiltrating vessels (endomucin) and nerves (protein-gene-product 9.5) was quantified in the tissue volume using immunohistochemistry. Injury provoked the increase secretion of IL6, CCL2, CCL12, CCL17, CCL20, CCL21, CCL22, CXCL2 and MMP2 proteins. The centrality and structure of inflammatory networks in IVDs evolved over the 12 post-injury weeks, highlighting distinct responses between the acute and chronic phases. Neurites propagated rapidly within 2-weeks post-injury and remained relatively constant until 12-weeks. Vascular vessel length was observed to peak at 4-weeks post-injury and it regressed by 12-weeks. These findings identified the temporal flux of inflammatory chemokines and pain-associated pathoanatomy in a model of IVD degeneration using the mouse caudal spine.

bioengineering↗

Nepali oral microbiomes reflect a gradient of lifestyles from traditional to industrialized

BackgroundLifestyle plays an important role in shaping the gut microbiome. However, its contributions to the oral microbiome remains less clear, due to the confounding effects of geography and methodology in investigations of populations studied to date. Furthermore, while the oral microbiome seems to differ between foraging and industrialized populations, we lack insight into whether transitions to and away from agrarian lifestyles shape the oral microbiota. Given the growing interest in so-called vanishing microbiomes potentially being a risk factor for increased disease prevalence in industrialized populations, it is important that we distinguish lifestyle from geography in the study of microbiomes across populations. ResultsHere, we investigate salivary microbiomes of 63 Nepali individuals representing a spectrum of lifestyles: foraging, subsistence farming (individuals that transitioned from foraging to farming within the last 50 years), agriculturalists (individuals that have transitioned to farming for at least 300 years), and industrialists (expatriates that immigrated to the United States within the last 20 years). We characterize the role of lifestyle in microbial diversity, identify microbes that differ between lifestyles, and pinpoint specific lifestyle factors that may be contributing to differences in the microbiomes across populations. Contrary to prevailing views, when geography is controlled for, oral microbiome alpha diversity does not differ significantly across lifestyles. Microbiome composition, however, follows the gradient of lifestyles from foraging through agrarianism to industrialism, supporting the notion that lifestyle indeed plays a role in the oral microbiome. Relative abundances of several individual taxa, including Streptobacillus and an unclassified Porphyromonadaceae genus, also mirror lifestyle. Finally, we identify specific lifestyle factors associated with microbiome composition across the gradient of lifestyles, including smoking and grain source. ConclusionOur findings demonstrate that by controlling for geography, we can isolate an important role for lifestyle in determining oral microbiome composition. In doing so, we highlight the potential contributions of several lifestyle factors, underlining the importance of carefully examining the oral microbiome across lifestyles to improve our understanding of global microbiomes.

microbiology↗

Recovery after human bone marrow mesenchymal stem cells (hBM-MSCs)-derived extracellular vesicles (EVs) treatment in post-MCAO rats requires handling associated with repeated behavioral testing.

Rehabilitation is the only current intervention that improves sensorimotor function in ischemic stroke patients, similar to task-specific intensive training in animal models of stroke. Bone marrow mesenchymal stem cells (BM-MSCs)-derived extracellular vesicles (EVs) are promising in restoring brain damage and function in stroke models. Additionally, the non-invasive intranasal route allows EVs to reach the brain and target specific ischemic regions. Yet unclear is how handling might enhance recovery or influence other therapies such as EVs after stroke. We used the transient middle cerebral artery occlusion (MCAO) model of stroke in rats to assess how intensive handling alone, in the form of sensorimotor behavioral tests, or in combination with an intranasal multidose or single dose of EVs restored neurological function and ischemic damage. Handled rats were exposed to a battery of sensorimotor tests, including the modified Neurological Severity Score (mNSS), beam balance, corner, grid walking, forelimb placement, and cylinder tests, together with Magnetic Resonance Imaging (MRI) at 2, 7, 14, 21, and 28 days post-stroke (dps). Handled MCAO rats were also exposed to an intranasal multidose of EVs (8 doses in total across four weeks, each dose containing 0.8 x 109 EVs in 120 {micro}l) or a single dose of EVs (2.4 x 109 EVs in 200 {micro}l) at 2 dps. Non-handled rats were evaluated only by mNSS and MRI at 2, 28, and 56 dps and were treated with a single intranasal dose of EVs. Our results showed that handling animals after MCAO is necessary for EVs to work and that a single cumulative dose of EVs further improves the neurological function recovered during handling without affecting ischemic damage. These results show the importance of rehabilitation in combination with other treatments and highlight how intensive behavioral testing might influence functional recovery after stroke, especially when other treatments are also given.

neuroscience↗

The inactive X chromosome drives sex differences in microglial inflammatory activity in human glioblastoma

Whether an individual is a biological female or male affects cancer risk, but the responsible mechanisms and cell types remain obscure. Glioblastoma multiforme (GBM) is a male-biased cancer that is highly aggressive, and resistant to treatment, with poor patient survival. Dismal prognoses in GBM are due in part to the specialized immune system of the brain, consisting largely of microglia, which regulate GBM development and progression. We hypothesized that microglia function differently in females and males and thereby contribute to the observed male bias in GBM. We sorted TAM-MGs (tumor-associated macrophages - microglia) from human GBMs and low-grade gliomas and performed bulk transcriptomic and epigenomic assays to identify sex-biased gene expression. We used published single-cell transcriptomic data from human GBMs to predict sex-biased TAM-MG interactions with other cell types. We found that female and male TAM-MGs mount different inflammatory responses, with female TAM-MGs displaying stronger interferon signaling and cytotoxic T-cell interactions that should enhance anti-tumor immunity in GBM. We validated these sex-differential inflammatory responses experimentally, and determined that genes on the sex chromosomes, specifically those expressed by Xi (the "inactive" X chromosome), drive these differences. Together, our results suggest that sex-differential TAM-MG inflammatory responses contribute to the higher incidence and mortality of GBM in males.

genomics↗

Structural basis of autoantibody binding in Neuromyelitis Optica

Neuromyelitis Optica (NMO) is an autoimmune disease of the central nervous system where pathogenic autoantibodies target the human astrocyte water channel aquaporin-4 causing neurological impairment. Autoantibody binding leads to complement dependent and complement independent cytotoxicity, ultimately resulting in astrocyte death, demyelination, and neuronal loss. Aquaporin-4 assembles in astrocyte plasma membranes as symmetric tetramers or as arrays of tetramers. We report molecular structures of aquaporin-4 alone and bound to Fab fragments from patient-derived NMO autoantibodies using cryogenic electron microscopy. Each antibody binds to epitopes comprised of three extracellular loops of aquaporin-4 with contributions from multiple molecules in the assembly. The structures distinguish between antibodies that bind to the tetrameric form of aquaporin-4, and those targeting higher order orthogonal arrays of tetramers that provide more diverse bridging epitopes. One-Sentence SummaryPathogenic autoantibodies in Neuromyelitis Optica distinguish multiply presented epitopes on arrays of human aquaporin-4.

immunology↗

Impact of Species-Specific Plant Growth-Promoting Rhizobacteria (PGPR) on Maize (Zea mays) Phenotypic and Biochemical Diversity

Maize (Zea mays) is a vital cereal crop used as a staple diet in many countries. In contemporary farming practises, inoculation with plant-growth-promoting rhizobacteria (PGPR) can be promoted as a sustainable alternative to chemical fertilizers and pesticides in cereal crops including maize. For experimental verification of the above-mentioned hypothesis, four PGPR inoculants Pseudomonas fluorescens, P. putida, Azospirillum lipoferum and Bacillus subtilis were applied to three maize genotypes (AXE*, PMH1 and PMH10) and their effects were studied by measurement of various morphological and biochemical paramters. Substantial increase in the amount of chlorophyll a (45%), chlorophyll b (100%), total chlorophyll (95%), nitrate reductase (22%), superoxide dismutase (52%), protein content (16%), methionine content (31.8%), grain protein content (69%) were recorded over the control (non-treated or mock) plants. Morphological parameters also exhibited an increase in leaf number (53%), fresh weight (41%) and dry weight (62%) in test plants. Comparable outcome was observed for whole cob weight showing an increase of 42%, cob weight (60%), hundred-grain weight (25.9%), maize grain yield m-2 (18%) and yield ha-1 (18%) over the control. This study highlights the efficacy of the aforementioned four PGPR species as the most effective for maize crops. Bacillus subtilis and Azospirillum lipoferum may be considered species-specific PGPRs due to their superior performance compared to other strains. The considerable growth-promoting advantages observed in maize plants treated with bacterial inoculation indicated that PGPRs have the potential to be employed as sustainable solutions in maize production.

plant biology↗

Self-reactive B cells traverse a perfect storm of somatic mutagenesis to cause a virus-induced autoimmune disease

The unexplained association between infection and autoimmune disease is strongest for hepatitis C virus-induced cryoglobulinemic vasculitis (HCV-CV). We traced the evolution of the pathogenic rheumatoid factor (RhF) autoantibodies in four HCV-CV patients by deep single cell multi-omic analysis, revealing three sources of B cell somatic mutation converged to drive accumulation of a large disease causing clone. A sensitive method for quantifying low affinity binding revealed three recurring heavy/light chain combinations created by V(D)J recombination bound self IgG but not viral E2 antigen. Whole genome sequencing revealed accumulation of thousands of somatic mutations, at levels comparable to CLL and normal memory B cells, but with 1-2 corresponding to driver mutations found recurrently in B cell leukemia/lymphoma. V(D)J hypermutation created autoantibodies with compromised solubility. In this virus-induced autoimmune disease, infection promotes a perfect storm of somatic mutagenesis in the descendants of a single B cell.

immunology↗

gQuant: A Robust and Generalizable Algorithm for Identifying Normalizer Genes in qRT-PCR Data: A Case Study on Urinary Exosomal miRNAs

The emergent role of nucleic acid-based biomarkers, such as microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and messenger RNAs (mRNAs), is becoming increasingly prominent in the realms of disease diagnostics and risk assessment. Quantitative reverse transcription PCR (qRT-PCR) is the primary analytical method for quantitative measurement of biomarkers. Yet, the relative infancy of non-coding RNAs (ncRNAs) recognition as biomarkers poses a challenge due to the absence of a consensus on a universally accepted normalizer gene, which is pivotal for accurate quantification. Current tools for selecting normalizer genes in qRT-PCR are fraught with limitations, including inadequate handling of null values, reliance on elementary statistical tools, use of a biased integrated approach, outlier sensitivity, and suboptimal graphical user interface for data visualization. These deficiencies underscore the necessity for a more nuanced and algorithmically balanced tool tailored to handle qRT-PCR datasets and facilitate the discernment of the most appropriate normalizer gene for specific datasets. Addressing the identified challenges, we have developed gQuant, a tool crafted to address the limitations present in existing methods. In gQuant we employed voting classifiers as an ensemble technique that combines predictions from multiple statistical methods to make more accurate rankings than any individual statistical measures. The tools efficacy was substantiated through rigorous validation against datasets from the Gene Expression Omnibus (GEO) database and corroborated with experimental data derived from urinary exosomal miRNAs. Comparative analysis with existing tools revealed that their integrated methodologies could skew the ranking of normalizer genes, whereas gQuant consistently yielded rankings characterized by lower standard deviation, reduced covariance, and enhanced kernel density estimation (KDE) values. Given gQuants promising performance, normalizer gene identification will be greatly improved, improving the precision of gene expression quantification in a variety of research scenarios.

molecular biology↗

Disruption of redox balance in glutaminolytic triple negative breast cancer by inhibition of glutamate export and glutaminase

In triple-negative breast cancer (TNBC) that relies on catabolism of amino acid glutamine, glutaminase (GLS) converts glutamine to glutamate, which facilitates glutathione synthesis by mediating the enrichment of intracellular cystine via xCT antiporter activity. To overcome chemo resistant TNBC, we have tested a strategy of disrupting cellular redox balance by inhibition of GLS and xCT by CB839 and Erastin, respectively. Key findings of our study include: 1. Dual metabolic inhibition (CB839+Erastin) led to significant increases of cellular superoxide level in both parent and chemo resistant TNBC cells, but superoxide level was distinctly lower in resistant cells. 2. Dual metabolic inhibition combined with doxorubicin or cisplatin induced significant apoptosis in TNBC cells and is associated with high degrees of GSH depletion. In vivo, dual metabolic inhibition plus cisplatin led to significant growth delay of chemo resistant human TNBC xenografts. 3. Ferroptosis is induced by doxorubicin (DOX) but not by cisplatin or paclitaxel. Addition of dual metabolic inhibition to DOX chemotherapy significantly enhanced ferroptotic cell death. 4. Significant changes in cellular metabolites concentration preceded transcriptome changes revealed by single cell RNA sequencing, underscoring the potential of capturing early changes in metabolites as pharmacodynamic markers of metabolic inhibitors. Here we demonstrated that 4-(3-[18F]fluoropropyl)-L-glutamic acid ([18F]FSPG) PET detected xCT blockade by Erastin or its analog in mice bearing human TNBC xenografts. In summary, our study provides compelling evidence for the therapeutic benefit and feasibility of non-invasive monitoring of dual metabolic blockade as a translational strategy to sensitize chemo resistant TNBC to cytotoxic chemotherapy.

cancer biology↗

Fine-tuning of Fgf8 morphogen gradient by heparan sulfate proteoglycans in the extracellular matrix

Embryonic development is orchestrated by the action of morphogens, which spread out from a local source and activate, in a field of target cells, different cellular programs based on their concentration gradient. Fibroblast growth factor 8 (Fgf8) is a morphogen with important functions in embryonic organizing centers. It forms a gradient in the extracellular space by free diffusion, interaction with the extracellular matrix (ECM) and receptor-mediated endocytosis. However, morphogen gradient regulation by ECM is still poorly understood. Here we show that specific Heparan Sulfate Proteoglycans (HSPGs) bind Fgf8 directly in the ECM of living zebrafish embryos, thus affecting its diffusion and signaling. Using single-molecule Fluorescence Correlation Spectroscopy, we quantify this binding in vivo, and find two different modes of interaction. First, reducing or increasing the concentration of specific HSPGs in the extracellular space alters Fgf8 diffusion, and thus, its gradient shape. Second, ternary complex formation of Fgf8 ligand with Fgf-receptors and HSPGs at the cell surface requires HSPG attachment to the cell membrane. Together, our results show that graded Fgf8 morphogen distribution is achieved by constraining free Fgf8 diffusion through successive interactions with HSPGs at the cell surface and in ECM space. Statement of significanceFgf8 is a secreted morphogen signaling molecule that instructs neighboring arrays of undifferentiated cells about their position and cellular identity in tissue. Fgf8 and other morphogens are often distributed in a graded fashion, and can typically work at very low concentrations. To reproducibly generate information in developing tissue, mechanisms have evolved to carefully control distribution and concentration of Fgf8 morphogen. We show that freely diffusing Fgf8 morphogen moves through interstitial cell spaces on its way to target cells, and while doing so, interacts with ECM molecules in these spaces and at cell surfaces via low affinity, reversible binding. These interactions are important tuning mechanisms that contribute to forming the Fgf8 morphogen gradient and to cell surface receptor binding, and thus, to controlling cell type identity. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=166 SRC="FIGDIR/small/565243v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@b6d073org.highwire.dtl.DTLVardef@2f64c1org.highwire.dtl.DTLVardef@17fbf19org.highwire.dtl.DTLVardef@1db334a_HPS_FORMAT_FIGEXP M_FIG C_FIG Graphical abstractTo generate a gradient, the morphogen Fgf8 shuttles between fast free diffusion through extracellular space (i), slow diffusion or immobility (ii, iii) when bound to Heparan Sulfate Proteoglycans (HSPGs), in the extracellular matrix (ECM) and at cell surface receptors (iv), as revealed by single molecule studies in living zebrafish embryos.

developmental biology↗

Neoadjuvant Therapy Differentially Remodels Carcinoma and Tumor Microenvironment in Pancreatic Ductal Adenocarcinoma: Insights from Spatially Resolved Transcriptomics

PurposeNeoadjuvant therapy (NAT) is increasingly being used for pancreatic ductal adenocarcinoma (PDAC) treatment. However, its distinct effects on carcinoma cells and the tumor microenvironment (TME) are not fully understood. This study employs spatial transcriptomics and single-cell RNA sequencing to investigate how NAT differentially remodels PDACs carcinoma cells and TME. Experimental DesignWe used spatial transcriptomics to compare gene expression profiles in carcinoma cells and the TME between NAT-treated and NAT-naive PDAC patients and correlated with their clinicopathologic features. Complementary single-nucleus RNA sequencing (snRNA-seq) analysis was conducted to validate our findings and identify cell types driving NAT-induced gene expression alterations. ResultsWe found NAT not only induces apoptosis and inhibits proliferation in carcinoma cells but also significantly remodels the TME. Notably, NAT induces a coordinated upregulation of multiple key complement genes (C3, C1S, C1R, C4B and C7) in the TME, making the complement pathway one of the most significantly affected pathways by NAT. Patients with higher TME complement expression following NAT exhibit improved overall survival; more immunomodulatory and neurotrophic cancer-associated fibroblasts (CAFs); more CD4+ T cells, monocytes and mast cells; and lower immune exhaustion gene expression. snRNA-seq analysis demonstrates C3 complement upregulation specifically in CAFs but not in other stroma cell types. ConclusionsOur findings indicate that NAT may reduce immunosuppression in PDAC by enhancing complement production and signaling within the TME. These findings suggest that local complement dynamics could serve as a novel biomarker for prognosis, evaluating treatment response and resistance, and guiding therapeutic strategies in NAT-treated PDAC patients. Translational RelevanceAs neoadjuvant therapy (NAT) increasingly becomes the preferred approach in treating resectable and borderline resectable pancreatic ductal adenocarcinoma (PDAC), there is a growing demand for novel biomarkers specifically tailored for post-NAT PDAC patients. Our study focused on how NAT differentially remodels the tumor cells and the tumor microenvironment (TME). We demonstrate that NAT can enhance local complement production and signaling in PDACs TME, which is associated with reduced immune exhaustion and improved overall survival. Our results highlight the importance of local complement dynamics in influencing treatment response, resistance, and overall clinical outcomes in PDAC. This new mechanism provides new opportunities in biomarker development which could facilitate more accurate prognostication and precise treatment stratification, particularly for patients undergoing NAT in PDAC.

genomics↗

PfMORC protein regulates chromatin accessibility and transcriptional repression in the human malaria parasite, P. falciparum.

The environmental challenges the human malaria parasite, Plasmodium falciparum, faces during its progression into its various lifecycle stages warrant the use of effective and highly regulated access to chromatin for transcriptional regulation. Microrchidia (MORC) proteins have been implicated in DNA compaction and gene silencing across plant and animal kingdoms. Accumulating evidence has shed light into the role MORC protein plays as a transcriptional switch in apicomplexan parasites. In this study, using CRISPR/Cas9 genome editing tool along with complementary molecular and genomics approaches, we demonstrate that PfMORC not only modulates chromatin structure and heterochromatin formation throughout the parasite erythrocytic cycle, but is also essential to the parasite survival. Chromatin immunoprecipitation followed by deep sequencing (ChIP-seq) experiments suggest that PfMORC binds to not only sub-telomeric regions and genes involved in antigenic variation but may also play a role in modulating stage transition. Protein knockdown experiments followed by chromatin conformation capture (Hi-C) studies indicate that downregulation of PfMORC impairs key histone marks and induces the collapse of the parasite heterochromatin structure leading to its death. All together these findings confirm that PfMORC plays a crucial role in chromatin structure and gene regulation, validating this factor as a strong candidate for novel antimalarial strategies.

microbiology↗