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Xu, Q.

Publications and source records attributed to Xu, Q..

At least 109 records · Page 6Linked to original sources

SHP2-triggered endothelium activation fuels estradiol-independent endometrial sterile inflammation

Endometrial hyperplasia (EH) is a common gynecological disease primarily driven by excess estrogen. How endometrial sterile inflammation regulates EH remains unclear. First, we found the upregulation of SHP2 in endometrial endothelial cells from patients with EH by scRNA-Seq. SHP2 promoted inflammatory activation of endothelial cells, which promoted macrophage transendothelial migration. Subsequently, IL1{beta} and TNF from macrophages gave a feedforward loop to enhance endothelial cell activation and result in more IGF1 secretion, thereby sustaining sterile endometrial inflammation and facilitating endometrial epithelial cell proliferation even after estradiol withdrawal. Mechanistically, results of bulk RNA-Seq and phosphoproteomic analyses showed that endothelial SHP2 dephosphorylated RIPK1Y380 after estradiol stimulation. This event promoted activator protein 1 (AP-1) activation, instigating inflammation and increased CXCL10, CXCL13, COX2 and IGF1 secretion. Furthermore, targeting SHP2 by SHP099 or endothelial-specific SHP2 deletion alleviated EH progression in mice. Collectively, our findings demonstrate that SHP2 mediates the transition of endothelial activation, from estradiol-driven short inflammation to macrophage-amplified continuous sterile inflammation. Targeting chronic sterile inflammation mediated by endothelial cell activation is a promising strategy for non-hormonal intervention in EH.

molecular biology↗

Spatial Morphoproteomic Features Predict Uniqueness of Immune Microarchitectures and Responses in Lymphoid Follicles

Multiplex imaging technologies allow the characterization of single cells in their cellular environments. Understanding the organization of single cells within their microenvironment and quantifying disease-status related biomarkers is essential for multiplex datasets. Here we proposed SNOWFLAKE, a graph neural network framework pipeline for the prediction of disease-status from combined multiplex cell expression and morphology in human B-cell follicles. We applied SNOWFLAKE to a multiplex dataset related to COVID-19 infection in humans and showed better predictive power of the SNOWFLAKE pipeline compared to other machine learning and deep learning methods. Moreover, we combined morphological features inside graph edge features to utilize attribution methods for extracting disease-relevant motifs from single-cell spatial graphs. The underlying subgraphs were further analyzed and associated with disease status across the dataset. We showed that SNOWFLAKE successfully extracted significant low dimensional embedding from subgraphs with a clear separation between disease status and helped characterize unique cellular interactions in the subgraphs. SNOWFLAKE is a generalizable pipeline for the analysis of multiplex imaging data modality by extracting disease-relevant subgraphs guided by graph-level prediction.

bioinformatics↗

NBBC: Quantifying the Prevalence of Non-B DNA Motifs as a Marker of Non-B Burden in Cancer

Alternative DNA structures, such as Z-DNA, G-quadruplexes, and mirror repeats, have shown potential involvement in cancer etiology. NBBC (Non-B DNA Burden in Cancer) is a web-based tool designed for quantifying and analyzing non-B DNA motifs within a cancer context. Herein, we provide a step-by-step protocol for employing NBBC, starting with data input and proceeding through the quantification and normalization of non-B DNA motifs that result in calculation of non-B burden. With detailed instructions for performing various motif-centric analyses based on cancer gene signatures, including DNA damage repair and response pathways for exploring genomic stability, and sample-level gene mutation signatures, a user is able to explore non-B associative correlations within current cancer biology. We provide additional detail on input queries into NBBC, interpret the quantitative results, and apply normalization techniques to ensure accurate comparisons across different genomic regions and non-B DNA structures. NBBC offers a powerful and user-friendly interface for the cancer research community. This chapter serves as an essential, enhanced instructional guide for researchers to leverage NBBC in their cancer biomarker investigations for an understanding of the potential role of non-B DNA in contributing to them.

cancer biology↗

Non-B DNA-Informed Mutation Burden as a Marker of Treatment Response and Outcome in Cancer

BackgroundGenomic instability plays a key role in tumorigenesis and cancer research, with Tumor Mutation Burden (TMB) being a crucial biomarker quantifying total mutation to indicate therapeutic effectiveness, particularly in immunotherapy. However, TMB is not always a reliable predictor of treatment response and displays heterogeneity. Non-B DNA, alternative DNA forms have the potential to increase susceptibility to mutations that lead to the development of cancer. The tendency of these structures to induce mutations highlights their critical role in cancer onset and advancement, indicating their potential merit when combined with mutation information for enhanced markers in cancer with potential novel insights. Methods and findingsWe introduce two novel markers, "nbTMB" (non-B-informed tumor mutation burden) and "mlTNB" (mutation-localized-informed tumor non-B burden). We show in three separate case studies applying these markers the following findings: 1) nbTMB informs on survival heterogeneity among TMB-High patients undergoing immunotherapy whereas TMB is unable to further differentiate; 2) nbTMB informs on altered cisplatin sensitivity among ovarian cancer patient-derived cell lines whereas TMB is unable to differentiate; and 3) mlTNB informs on survival heterogeneity among early stage pancreatic cancer progressors in whom other markers of genomic instability fail to differentiate. ConclusionsThese novel markers offer a nuanced approach in which to enhance our current understanding of treatment responses and outcomes in cancer, underscoring the need for a more comprehensive exploration of the interplay between non-B and B-DNA features.

cancer biology↗

MoCoLo: a testing framework for motif co-localization

Sequence-level data offers insights into biological processes through the interaction of two or more genomic features from the same or different molecular data types. Within motifs, this interaction is often explored via the co-occurrence of feature genomic tracks using fixed-segments or analytical tests that respectively require window size determination and risk of false positives from over-simplified models. Moreover, methods for robustly examining the co-localization of genomic features, and thereby understanding their spatial interaction, have been elusive. We present a new analytical method for examining feature interaction by introducing the notion of reciprocal co-occurrence, define statistics to estimate it, and hypotheses to test for it. Our approach leverages conditional motif co-occurrence events between features to infer their co-localization. Using reverse conditional probabilities and introducing a novel simulation approach that retains motif properties (e.g., length, guanine-content), our method further accounts for potential confounders in testing. As a proof-of-concept, MoCoLo confirmed the co-occurrence of histone markers in a breast cancer cell line. As a novel analysis, MoCoLo identified significant co-localization of oxidative DNA damage within non-B DNA forming regions that significantly differed between non-B DNA structures. Altogether, these findings demonstrate the potential utility of MoCoLo for testing spatial interactions between genomic features via their co-localization.

bioinformatics↗

Chlamydial protease-like activating factor targets SLC7A11 for degradation to induce ferroptosis and facilitate dissemination.

Chlamydia trachomatis, the most prevalent bacterial agent of sexually transmitted infections, possesses remarkable capacities for dissemination within the host, leading to reproductive health complications. The release of progeny through the orchestrated lysis of host cells plays a crucial role in Chlamydia dissemination, but the underlying molecular mechanisms remain largely elusive. Here, we uncovered a novel mechanism by which Chlamydia induces host cells ferroptosis to facilitate its dissemination. This process involves the degradation of host protein SLC7A11 by the chlamydial protease-like activating factor (CPAF), resulting in glutathione depletion, oxidative damage, and subsequent host cell lysis characterized by lipid peroxidation. Infection with CPAF-deficient strain fails to induce host cells ferroptosis, leading to restricted progeny release. Importantly, inhibiting ferroptosis effectively limits the release of Chlamydia progeny, highlighting its potential as a therapeutic strategy for controlling Chlamydia dissemination. These findings provide insights into the chlamydial conserved dissemination strategy and enhance understanding of its pathogenesis.

microbiology↗

Inhibition of KLK8 promotes pulmonary endothelial repair by restoring VE-cadherin/Akt/FOXM1 pathway

The tissue kallikrein-related peptidases (KLKs) are secreted serine proteases deeply involved in angiogenesis. However, whether KLKs are involved in the regulation of endothelial regeneration during sepsis remains unknown. By comparing the mRNA levels of 15 KLKs, we found that KLK8 was the highest induced KLK member in lung tissues or primary isolated mouse lung vascular endothelial cells (MLVECs) exposed to lipopolysaccharide (LPS). Adenovirus-mediated overexpression of KLK8 caused endothelial hyperpermeability both in vitro and in vivo. Inhibition of KLK8, by either gene knockout or KLK8 neutralizing antibodies, alleviated sepsis-induced endothelial hyperpermeability, acute lung injury and mortality. Mechanistically, transcription profiling of KLK8-overexpressed endothelial cells revealed a central role of forkhead box M1 (FOXM1) downregulation in mediating the pro-injury and anti-proliferation effects of KLK8. KLK8 cleaved VE-cadherin and consequently suppressed FOXM1 expression by inactivation of the VE-cadherin/Akt pathway. KLK8 deficiency or blockade rescued VE-cadherin/Akt/FOXM1 pathway, thus promoting endothelium regeneration. This study reveals a critical role for KLK8-induced inactivation of VE-cadherin/Akt/FOXM1 pathway in mediating the impairment of endothelial regeneration and the consequent lung vascular leakiness in response to sepsis. HighlightsO_LIUpregulated KLK8 mediates lung endothelial barrier dysfunction during sepsis C_LIO_LIKLK8 inactivates VE-cadherin/Akt/FOXM1, thus impairing endothelium regeneration C_LIO_LIKLK8 deficiency or blockade rescues VE-cadherin/Akt/FOXM1 signaling pathway C_LIO_LIKLK8 deficiency or blockade promotes endothelium regeneration during sepsis C_LIO_LIKLK8 deficiency or blockade attenuates sepsis-induced acute lung injury and mortality C_LI

physiology↗

An integrated transcriptomic cell atlas of human endoderm-derived organoids

Human stem cells can generate complex, multicellular epithelial tissues of endodermal origin in vitro that recapitulate aspects of developing and adult human physiology. These tissues, also called organoids, can be derived from pluripotent stem cells or tissue-resident fetal and adult stem cells. However, it has remained difficult to understand the precision and accuracy of organoid cell states through comparison with primary counterparts, and to comprehensively assess the similarity and differences between organoid protocols. Advances in computational single-cell biology now allow the integration of datasets with high technical variability. Here, we integrate single-cell transcriptomes from 218 samples covering organoids of diverse endoderm-derived tissues including lung, pancreas, intestine, liver, biliary system, stomach, and prostate to establish an initial version of a human endoderm organoid cell atlas (HEOCA). The integration includes nearly one million cells across diverse conditions, data sources and protocols. We align and compare cell types and states between organoid models, and harmonize cell type annotations by mapping the atlas to primary tissue counterparts. To demonstrate utility of the atlas, we focus on intestine and lung, and clarify ontogenic cell states that can be modeled in vitro. We further provide examples of mapping novel data from new organoid protocols to expand the atlas, and showcase how integrating organoid models of disease into the HEOCA identifies altered cell proportions and states between healthy and disease conditions. The atlas makes diverse datasets centrally available, and will be valuable to assess organoid fidelity, characterize perturbed and diseased states, and streamline protocol development.

cell biology↗

The chromatin accessibility dynamics during cell fate specifications in zebrafish early embryogenesis

Chromatin accessibility plays a critical role in the regulation of cell fate decisions. Although gene expression changes have been extensively profiled at the single-cell level during early embryogenesis, the dynamics of chromatin accessibility at cis-regulatory elements remain poorly studied. Here, we used a plate-based single-cell ATAC-seq method to profile the chromatin accessibility dynamics of over 10, 000 nuclei from zebrafish embryos. We investigated several important time points immediately after zygotic genome activation (ZGA), covering key developmental stages up to dome. The results revealed key chromatin signatures in the first cell fate specifications when cells start to differentiate into enveloping layer (EVL) and yolk syncytial layer (YSL) cells. Finally, we uncovered many potential cell-type specific enhancers and transcription factor motifs that are important for the cell fate specifications.

genomics↗

Cytotoxic rhamnolipid micelles drive acute virulence in Pseudomonas aeruginosa

Pseudomonas aeruginosa is an opportunistic human pathogen that has developed multi- or even pan-drug resistance towards most frontline and last resort antibiotics, leading to increasing infections and deaths among hospitalized patients, especially those with compromised immune systems. Further complicating treatment, P. aeruginosa produces numerous virulence factors that contribute to host tissue damage and immune evasion, promoting bacterial colonization and pathogenesis. In this study, we demonstrate the importance of rhamnolipid production in host-pathogen interactions. Secreted rhamnolipids form micelles that exhibited highly acute toxicity towards murine macrophages, rupturing the plasma membrane and causing organellar membrane damage within minutes of exposure. While rhamnolipid micelles (RMs) were particularly toxic to macrophages, they also caused membrane damage in human lung epithelial cells, red blood cells, Gram-positive bacteria, and even non-cellular models like giant plasma membrane vesicles. Most importantly, rhamnolipid production strongly correlated to P. aeruginosa virulence against murine macrophages in various panels of clinical isolates. Altogether, our findings suggest that rhamnolipid micelles are highly cytotoxic virulence factors that drive acute cellular damage and immune evasion during P. aeruginosa infections.

microbiology↗

Metabotropic signaling within somatostatin interneurons regulates thalamocortical inputs during development

During brain development, neural circuits undergo major activity-dependent restructuring. Circuit wiring mainly occurs through synaptic strengthening following the Hebbian "fire together, wire together" precept. However, select connections, essential for circuit development, are transient. They are effectively connected early in development, but strongly diminish during maturation. The mechanisms by which transient connectivity recedes are unknown. To investigate this process, we characterize transient thalamocortical inputs, which depress onto somatostatin inhibitory interneurons during development, by employing optogenetics, chemogenetics, transcriptomics and CRISPR-based strategies. We demonstrate that in contrast to typical activity-dependent mechanisms, transient thalamocortical connectivity onto somatostatin interneurons is non-canonical and involves metabotropic signaling. Specifically, metabotropic-mediated transcription, of guidance molecules in particular, supports the elimination of this connectivity. Remarkably, we found that this developmental process impacts the development of normal exploratory behaviors of adult mice.

neuroscience↗

ULK1-dependent phosphorylation of PKM2 antagonizes O-GlcNAcylation and inhibits the Warburg effect in breast cancer

Pyruvate kinase M2 (PKM2) is a central metabolic enzyme driving the Warburg effect in tumor growth. Previous investigations have demonstrated that PKM2 is subject to O-linked {beta}-N-acetylglucosamine (O-GlcNAc) modification, which is a nutrient-sensitive post-translational modification. Here we found that unc-51 like autophagy activating kinase 1 (ULK1), a glucose-sensitive kinase, interacts with PKM2 and phosphorylates PKM2 at Ser333. Ser333 phosphorylation antagonizes PKM2 O-GlcNAcylation, promotes its tetramer formation and enzymatic activity, and decreases its nuclear localization. By downregulating glucose consumption and lactate production, PKM2 pS333 attenuates the Warburg effect. Through mouse xenograft assays, we demonstrate that the phospho-deficient PKM2-S333A mutant promotes tumor growth in vivo. In conclusion, we identified a ULK1-PKM2-c-Myc axis in inhibiting breast cancer, and a glucose-sensitive phosphorylation of PKM2 in modulating the Warburg effect.

biochemistry↗

Neuronal apoE4 induces early hyperexcitability in select populations of hippocampal neurons by altering Nell2 expression

The full impact of apolipoprotein E4 (APOE4), the strongest genetic risk factor for Alzheimers disease (AD), on neuronal and network function remains unclear. We found hippocampal region-specific network hyperexcitability in young APOE4 knock-in (E4-KI) mice which predicted cognitive deficits at old age. Network hyperexcitability in young E4-KI mice was mediated by hippocampal region-specific subpopulations of smaller and hyperexcitable neurons that were eliminated by selective removal of neuronal APOE4. Aged E4-KI mice exhibited hyperexcitable granule cells, a progressive inhibitory deficit, and E/I imbalance in the dentate gyrus, exacerbating hippocampal hyperexcitability. Single-nucleus RNA-sequencing revealed neuronal cell type-specific and age-dependent transcriptomic changes, including Nell2 overexpression in E4-KI mice. Reducing Nell2 expression in specific neuronal types of E4-KI mice with CRISPRi rescued their abnormal excitability phenotypes, implicating Nell2 overexpression as a cause of APOE4-induced hyperexcitability. These findings highlight the early transcriptomic and electrophysiological alterations underlying APOE4-induced hippocampal network dysfunction and its contribution to AD pathogenesis with aging.

neuroscience↗

Extract from Polygala fallax Hemsl. Protects Kidneys in db/db Mice by Inhibiting the TLR4/MyD88/NF-kappa B Signaling Pathway

Diabetic nephropathy (DN) is a chronic kidney disease caused by the loss of renal function. The extract of Polygala fallax Hemsl (EPF) possesses anti-inflammatory a nd other pharmacological effects. Objective: To investigate the effect and potenti al mechanism of EPF in the treatment of diabetic nephropathy-associated inflammati on. Materials and methods: Db/db mice were administered varying doses of EPF (15, 30, 60 mg/kg), after which the kidney organ index and glucose tolerance were calcu lated. Urine microalbumin was detected in urine collected over 24 hours. Serum FBG, Cr, and BUN levels were measured, and H&E and PAS staining were used to observe pathological changes in the kidney. The expression of TLR4, MyD88, NF-{kappa}B, and MMP -9 in kidney tissue was measured using immunohistochemistry, quantitative real-tim e PCR, and western blotting. Additionally, the expression of TNF-, MCP-1, IL-6, IL-18, and IL-1{beta} inflammatory factors in the serum was measured by ELISA. Results : EPF significantly decreased the renal organ index and ameliorated glucose intole rance symptoms in db/db mice, reduced 24-hour mALB, FBG, Cr, and BUN serum levels, and mitigated renal pathological changes. Moreover, EPF significantly inhibited th e expression of TLR4, MyD88, NF-{kappa}B, MMP-9, and related inflammatory factors TNF-, MCP-1, IL-6, IL-18, and IL-1{beta} in kidney tissue. Discussion and conclusions: E PF from P. fallax exhibits low toxicity and is safe for use. For the first time, it was discovered that EPF might reduce renal inflammation by inhibiting the TLR4/M yD88/NF-{kappa}B signaling pathway in vivo, thereby protecting the kidneys of db/db mic e from damage.

pharmacology and toxicology↗

A genetic basis for cancer sex differences revealed in Xp11 translocation renal cell carcinoma

Xp11 translocation renal cell carcinoma (tRCC) is a female-predominant kidney cancer driven by translocations between the TFE3 gene on chromosome Xp11.2 and partner genes located on either chrX or on autosomes. The rearrangement processes that underlie TFE3 fusions, and whether they are linked to the female sex bias of this cancer, are largely unexplored. Moreover, whether oncogenic TFE3 fusions arise from both the active and inactive X chromosomes in females remains unknown. Here we address these questions by haplotype-specific analyses of whole-genome sequences of 29 tRCC samples from 15 patients and by re-analysis of 145 published tRCC whole-exome sequences. We show that TFE3 fusions universally arise as reciprocal translocations with minimal DNA loss or insertion at paired break ends. Strikingly, we observe a near exact 2:1 female:male ratio in TFE3 fusions arising via X:autosomal translocation (but not via X inversion), which accounts for the female predominance of tRCC. This 2:1 ratio is at least partially attributable to oncogenic fusions involving the inactive X chromosome and is accompanied by partial re-activation of silenced chrX genes on the rearranged chromosome. Our results highlight how somatic alterations involving the X chromosome place unique constraints on tumor initiation and exemplify how genetic rearrangements of the sex chromosomes can underlie cancer sex differences.

cancer biology↗

Liebig's law of the minimum in the TGF-β pathway

Cells use signaling pathways to sense and respond to their environments. The transforming growth factor-{beta} (TGF-{beta}) pathway produces context-specific responses. Here, we combined modeling and experimental analysis to study the dependence of the output of the TGF-{beta} pathway on the abundance of signaling molecules in the pathway. We showed that the TGF-{beta} pathway processes the variation of TGF-{beta} receptor abundance using Liebigs law of the minimum, meaning that the output-modifying factor is the signaling protein that is most limited, to determine signaling responses across cell types and in single cells. We found that the abundance of either the type I (TGFBR1) or type II (TGFBR2) TGF-{beta} receptor determined the responses of cancer cell lines, such that the receptor with relatively low abundance dictates the response. Furthermore, nuclear SMAD2 signaling correlated with the abundance of TGF-{beta} receptor in single cells depending on the relative expression levels of TGFBR1 and TGFBR2. A similar control principle could govern the heterogeneity of signaling responses in other signaling pathways. One-sentence summaryHeterogeneous TGF-{beta} signaling responses are dictated by the low abundance TGF-{beta} receptor in different cell types and in single cells, resembling Liebigs law of the minimum.

systems biology↗

GDF15 is a Critical Renostat in the Defense Against Hypoglycemia

Episodic hypoglycemia is one of the best honed, evolutionary conserved phenomena in biology, because of the constant feast-fast cycles that have characterized most of history. The counterregulatory response to hypoglycemia, mobilizing substrate stores to produce glucose, is the primary adaptive mechanism to enable survival. Catecholamines and glucagon have long been considered the key hypoglycemia counterregulatory hormones, but here we identify a new hypoglycemia counterregulatory factor. We employed the insulin tolerance test (ITT) and hyperinsulinemic-hypoglycemic clamp to mimic the two common settings in which hypoglycemia can occur in patients: postprandial insulin overdose and elevated basal insulin administration, respectively. We found that Growth Differentiation Factor 15 (GDF15) production is induced in the S3 segment of the renal proximal tubules and its release increases hepatic gluconeogenesis by increasing intrahepatic lipolysis in a beta-adrenergic receptor-2 (Adrb2)-dependent manner. In addition, mice exposed to recurrent hypoglycemia and patients with T1D exhibit impaired GDF15 production in the setting of hypoglycemia. These data demonstrate that GDF15 acts acutely as a gluco-counterregulatory hormone and identify a critical role for kidney-derived GDF15 in glucose homeostasis under physiological and pathophysiological conditions.

physiology↗

Tomato CYP94C1 terminates jasmonate signaling during fruit ripening by inactivating bioactive jasmonoyl-L-isoleucine

Ripe fruits are more susceptible to necrotrophic pathogens than unripe fruits. Although this phenomenon is widespread across different fruit species and results in substantial economic losses, the underlying mechanism is still poorly understood. Previous studies revealed that ethylene (ET) is a key signal controlling climacteric fruit ripening and that jasmonate (JA) regulates plant resistance to necrotrophs. We investigated the function of tomato cytochrome P450 94 (CYP94) family genes in JA signaling and report here that ET-mediated ripening suppresses JA-mediated defense by promoting the deactivation of bioactive JA-Ile. ETHYLENE-INSENSITIVE 3 (EIN3)/EIN3-LIKE (EIL) transcription factors directly activated CYP94C1 to convert JA-Ile to its inactive form 12-COOH-JA-Ile, thereby terminating JA signaling during fruit ripening. Mutation of CYP94C1 led to increased resistance of ripe fruits to the necrotrophic pathogen Botrytis cinerea without affecting the ripening process. Additionally, the master transcription factor MYC2 directly activated two other CYP94 members CYP94B1 and CYP94B2 to convert JA-Ile to its less active form 12-OH-JA-Ile, thereby attenuating JA signaling in wounded leaves. Simultaneous mutation of CYP94B1 and CYP94B2 increased the resistance of leaves to B. cinerea. Thus, differences in the expression and enzymatic activities of CYP94 family gene members precisely control JA-mediated defense responses in tomato.

plant biology↗