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Biology subjects

Zhou, Q.

Publications and source records attributed to Zhou, Q..

At least 163 records · Page 9Linked to original sources

Discovery and molecular basis of chloride as an allosteric activator and catalytic inhibitor for Class-D lactamases.

Oxacillinase (OXA)-48-like carbapenemases are epidemic class D {beta}-lactamases in Enterobacterales, resulting in high mortality. Though the chemical mechanism has been clearly established, for decades, the link between the biphasic kinetic behaviour of these enzymes, which significantly impacts antibiotic efficacy, and the state of carbamylated lysine has been elusive. Here, substituting N-carbamylated lysine73 with a chemically-stable N-acetyl lysine allows us to prove the origin of catalytic inhibition is not decarbamylation and enables us to capture an unprecedented inactive acyl-intermediate wedged in place by a chloride ion against the conserved residue arginine250. We here identify chloride as a "Janus effector" acting by allosteric activation of the burst phase and inhibition of the steady-state for a series of {beta}-lactam substrates in kinetic assays. Chloride ions are necessarily present in both laboratory and clinical OXA activity assays and their inseparable role is now identified. Our finding suggests a new direction for the discovery of next-generation antibiotics specific for {beta}-lactamases of Class D.

biochemistry↗

Restoring glucose homeostasis with stomach-derived human insulin-secreting organoids

Gut stem cells are accessible by biopsy and propagate robustly in culture, offering an invaluable resource for autologous cell therapies. Insulin-producing cells can be induced in mouse gut, but it has not been possible to generate abundant and durable insulin-secreting cells from human gut tissues to evaluate their potential as a cell therapy for diabetes. Here we describe a protocol to differentiate cultured human gastric stem cells (hGSCs) into pancreatic islet-like organoids containing gastric insulin-secreting (GINS) cells that resemble {beta}-cells in molecular hallmarks and function. Sequential activation of the inducing factors NGN3 and PDX1-MAFA led hGSCs onto a novel differentiation path, including a SOX4High endocrine and GalaninHigh GINS precursor, before adopting {beta}-cell identity, at efficiencies close to 70%. GINS organoids acquired glucose-stimulated insulin secretion in 10 days and restored glucose homeostasis for over 100 days in diabetic mice after transplantation, providing proof of concept for a new approach to treat diabetes.

cell biology↗

A MTA2-SATB2 chromatin complex restrains colonic plasticity toward small intestine by retaining HNF4A at colonic chromatin

Plasticity between cell lineages is a fundamental but poorly understood property of regenerative tissues. In the gut tube, small intestine absorbs nutrients whereas colon absorbs electrolytes. In a striking display of inherent plasticity, adult colonic mucosa lacking the chromatin factor SATB2 is converted to small intestine. Using proteomics and CRISPR-Cas9 screen, we identified MTA2 as a crucial component of the molecular machinery that, together with SATB2, restrain colonic plasticity. MTA2 loss in adult mouse colon activated lipid absorptive genes and functional lipid uptake. Mechanistically, MTA2 co-binds with HNF4A, an activating pan-intestine transcription factor (TF), on colonic chromatin. MTA2 loss leads to HNF4A release from colonic and gain on small intestinal chromatin. SATB2 similarly restrains colonic plasticity through a HNF4A-dependent mechanism. Our study provides a generalizable model of lineage plasticity in which broadly-expressed TFs are retained on tissue-specific enhancers to maintain cell identity and prevent activation of alternative lineages; their release unleashes plasticity.

developmental biology↗

3D-Mass Spectrometry Imaging of Micro-scale 3D Cell Culture Models in Cancer Research

Three-dimensional (3D) human cell culture models have emerged as a key technology for personalized medicine and for phenotypic compound screening in more disease-like in-vitro systems. Mass spectrometry imaging (MSI) is one of the most versatile label-free techniques that enables simultaneous generation of spatial maps for multiple relevant molecules in these 3D-models. Here, we present an integrated platform for 3D-MSI of 3D-cell cultures comprising 3D-printed metal casting molds for freezing and embedding, MS imaging of 100 serial cryosections and their computational elastic 3D-reconstruction. With this platform, we monitored multiple lipids that were selectively associated with different cell-types or cell-cell interactions within 300 m-scale fibroblast and colon cancer biculture spheroids. Our findings suggest that 3D-printing-aided precise preparation of serial sections from small spheroids and visualization of marker molecules in 3D can provide a detailed overview of the cellular metabolic interplay in 3D cell culture models in cancer research and drug discovery.

cancer biology↗

The Role of the 3-Dimensional Genome in New Gene Evolution

Previous evolutionary models of duplicate gene evolution have overlooked the pivotal role of genome architecture. Here, we show that proximity-based regulatory recruitment of distally duplicated genes (enhancer capture) is an efficient mechanism for modulating tissue-specific production of pre-existing proteins. By leveraging genomic asymmetries in synteny and function that distinguish new genes evolving under enhancer capture-divergence (ECD) from those evolving under previous models, we performed a co-expression analysis on Drosophila melanogaster tissue data to show the generality of ECD as a significant evolutionary driver of asymmetric, distally duplicated genes. We use the recently evolved gene HP6/Umbrea, which duplicated <15 million years ago (mya), as an example of the ECD process. By assaying genome-wide chromosomal conformations in multiple Drosophila species, we show that HP6/Umbrea was inserted into a pre-existing, evolutionarily stable 3D genomic structure spanning over 125kb. We then utilize this data to identify a newly discovered enhancer (FLEE1), buried within the coding region of the highly conserved, essential gene MFS18, that likely neo-functionalized HP6/Umbrea, thereby driving the new duplicate gene copy to fixation. Finally, we demonstrate ancestral transcriptional co-regulation of HP6/Umbreas future insertion site using single-cell transcriptomics, illustrating how enhancer capture provides a highly evolvable, one-step solution to Ohnos Dilemma. The intuitive molecular mechanism underpinning the ECD model unveils a novel and robust framework to understand the fixation and neofunctionalization of distally duplicated genes.

evolutionary biology↗

JMJD3 is a Key Regulator of Dopamine Synthesis in Ventral Tegmental Area Dopamine Neurons.

Chronic pain is associated with midbrain dopamine levels. The molecules and mechanisms modulating this association remain to be elucidated. By using conditional knockout mice, we report that JMJD3 deficiency in midbrain dopamine neurons causes prolonged mechanical hyperalgesia regardless of sex and age. Both genetic defect and pharmaceutical inhibition of JMJD3 decrease dopamine level in midbrain and striatum, resulting from reduced tyrosine hydroxylase expression in midbrain dopamine neurons. Furthermore, epigenetic experiments reveal that JMJD3 is indispensable for the transcription of tyrosine hydroxylase through direct and indirect manners. These findings suggest JMJD3 and midbrain dopamine neurons as novel players and pharmaceutical targets for chronic pain regulation.

neuroscience↗

Development and Evolution of Drosophila Chromatin Landscape in a 3D genome context

Chromatin states of genes and transposable elements (TEs) dictated by combinations of various histone modifications comprise key information for understanding the mechanisms of genome organization and regulation. However, little is known about the principles of their dynamic changes during development and evolution in a three-dimensional genome context. To address this, we study Drosophila pseudoobscura, a Drosophila model species that diverged from D. melanogaster about 25 million years ago. We collected 71 epigenomic datasets targeting 11 histone modification marks and 4 Hi-C datasets, and projected 15 chromatin states across four different developmental stages and two adult tissues. We estimate that before zygotic genome activation, 41% of the genome has already been deposited with histone modifications, while 20% of the rest genome switches from a null state to an active/inactive chromatin state after the zygotic genome activation. Over two thirds of the genomic region exhibit at least one transition between different chromatin states during development. And such transitions on cis-regulatory regions are associated with tissue- or stage-specific formation of chromatin loops or topologically associated domain borders (TABs), as well as specific activation of gene expression. We further demonstrate that while evolutionarily young TEs are preferentially targeted by silencing histone modifications, old TEs are more frequently domesticated as TABs or specific enhancers that further contribute to the genome organization or local gene regulation. Interestingly, this trend is reversed on the newly evolved X chromosome in D. pseudoobscura, due to the acquisition of dosage compensation mechanism. Overall we characterize the developmental and evolutionary dynamics of Drosophila epigenomic states, and highlight the roles of certain TEs of different evolutionary ages in genome organization and regulation.

evolutionary biology↗

A new framework for detecting copy number variants from single nucleotide polymorphism data: 'rCNV', a versatile R package for paralogs and CNVs detection

Studies show that copy number variants (CNVs), due to their ubiquitous presence in eukaryotes, contribute to phenotypic variation, environmental adaptation, and fuel species divergence at a previously unknown rate. However, the detection of CNVs in genomes, especially in non-model organisms is challenging due to the need for costly genomic resources and complex computational infrastructure. Therefore, to provide researchers with a low-cost and easily accessible resource, we developed a robust statistical framework and an R software package to detect CNVs using allelic-read depth from SNPs data. The core of the framework exploits i) the allelic-read depth ratio distribution in heterozygotes for individual SNPs and testing it against an expected distribution under a binomial sampling, and ii) SNPs showing an apparent excess of heterozygotes under Hardy-Weinberg equilibrium, to detect alleles in putatively multi-copy regions. The use of multiple statistical tests to find the deviation in allelic-read depth ratio distribution makes our method sensitive to sampling and aware of reference biases thereby minimizing false detection of CNVs. Our framework is well-catered for high throughput short-reads data, hence, most GBS technologies (e.g., RADseq, Exome-capture, WGS). As such, it allows calling CNVs from genomes of varying complexity. The framework is implemented in the R package "rCNV" which effortlessly automates the analysis. We trained our models on simulated data and tested on four datasets obtained from different sequencing technologies (i.e., RADseq: Chinook salmon - Oncorhynchus tshawytscha, American lobster - Homarus americanus, Exome-capture: Norway Spruce - Picea abies, and WGS: Malaria mosquito -Anopheles gambiae).

evolutionary biology↗

GutMeta: online microbiome analysis and interactive visualization with build-in curated human gut microbiome database

BackgroundThe human gut microbiome is associated with numerous human diseases. The whole-genome shotgun metagenomics sequencing helps accumulate a massive amount of gut microbiome data. However, few curated integrated platforms are available to explore the vast dataset. Advances in data generation pose new challenges to researchers attempting to analyze, visualize, and reuse published data. ResultGutMeta (human GUT whole-genome shotgun METAgenomics data analysis platform) is a one-stop online human gut metagenomic research platform that integrates a curated database, analyses, and visualizations. First, we built the Human Gut Metagenomics Database (HGMD), which contained taxonomy profiling and metadata of the metagenomics. HGMD collected the published human gut microbiome samples with whole metagenome shotgun (WMGS) sequencing data and consistently performed taxonomy classification using MetaPhlan3 for each sample. The various related metadata information was curated, and phenotypes were according to the MeSH ID. At this moment, HGMD contains 20,898 samples from 91 projects related to 65 diseases. Embedded tools could help users to explore the samples by keywords. Second, GutMeta provides researchers with user-friendly metagenomics analysis modules, including community diversity calculation, differential testing, dimension reduction, disease classifier construction, etc. Then, GutMeta provides corresponding interactive visualizations which can download as Scalable Vector Graphics (SVG), providing high-quality images. Further, GutMeta supplies two additional visualizations for the multi-level taxonomy overview for advanced investigations. GutMeta also supports online editing, including attribute adjustment, recoloring, reordering, and drag-and-drop. Third, GutMeta supports users in building their metagenomics analysis workspaces, including standard profiles uploading and built-in HGMD data import for online customized analyses and visualization. ConclusionGutMeta offers a solution to improve reproducibility in metagenomic research, with the standardized procedure from input data to downstream analysis and visualization. GutMeta is a free access analysis platform that integrates human gut WMGS sequencing data, nine online bioinformatics analysis and data visualization modules/pipelines, and a customized workspace. GutMeta is avaiable at https://GutMeta.deepomics.org.

bioinformatics↗

Comprehensive structural analysis reveals broad-spectrum neutralizing antibodies against Omicron

The pandemic of COVID-19 caused by SARS-CoV-2 continues to spread around the world. Mutant strains of SARS-CoV-2 are constantly emerging. At present, Omicron variants have become mainstream. In this work, we carried out a systematic and comprehensive analysis of the reported spike protein antibodies, counting the antibodies epitopes and genotypes. We further comprehensively analyzed the impact of Omicron mutations on antibody epitopes and classified these antibodies according to their binding patterns. We found that the epitopes of one class of antibodies were significantly less affected by Omicron mutations than other classes. Binding and virus neutralization experiments show that such antibodies can effectively inhibit the immune escape of Omicron. Cryo-EM results show that this class of antibodies utilizes a conserved mechanism to neutralize SARS-CoV-2. Our results greatly help us deeply understand the impact of Omicron mutations. At the same time, it also provides guidance and insights for developing Omicron antibodies and vaccines.

microbiology↗

Toward Improving Immunotolerance for Stem Cell-Derived Islets

Transplanting human stem cell-derived islets (SC-islets) is a promising therapy for insulin-dependent diabetes. While functional SC-islets have been produced for clinical application, immune rejection by the host remains a challenge. Present attempts, including chronic immunosuppression and/or physical encapsulation, have some disadvantages. Here we explore a strategy to induce an immune-tolerant environment based on the immune privilege observed in the male gonad. Sperm appears after the maturation of the immune system and development of systemic self-tolerance and the testis protects these autoreactive germ cells by the physical structure of blood-testis-barrier (BTB) and active local immunosuppression. Human SC-islets transplanted into the mouse testis can be physically protected by the BTB and we find that the testis secretes cytokines that induce a population of regulatory T cells (Tregs) that express both CD4 and CD8. We identified cytokines secreted by testis and used a cocktail of IL-2, IL-10, and TGF-{beta} for in vitro co-culture and in vivo transplantation demonstrating improved survival of SC-islets and the induction of Tregs. One Sentence SummaryInducing local immunotolerance by suppressive cytokines for islet Transplantation.

developmental biology↗

Novel Small Molecular Compound AE-848 Showed Potent Inhibitory Activity Against Human Hepatoblastoma Cells

PurposeAE-848/33345007, is a novel small molecular compound that was independently synthesized by our laboratory. The aim of the current study was to investigate potential therapeutic effects of the small molecule compound AE-848 on human hepatoblastoma cells. MethodsHuman hepatoblastoma cell line HepG2 was cultured under different concentrations of AE-848. MTT assay was used to detect the inhibitory ability of AE-848 on the activity of this cell line, while flow cytometry was applied to quantify apoptosis. Western-blot technique was used to determine expression levels of signaling pathway-associated molecules. The antitumor in vivo activity of AE-848 against hepatoblastoma was evaluated using hepatoblastoma-bearing nude mice randomly divided into AE-848 (experimental) and saline (control) groups respectively. Changes in survival and tumor sizes were compared between these two groups. ResultsAE-848 significantly inhibited proliferation and induced apoptosis of HepG2 cells, and induced activation of PI3K/Akt/mTOR signaling pathways. More importantly, AE-848 administration significantly inhibited tumor growth and prolonged survival of hepatoblastoma-bearing mice. ConclusionAE-848 had a strong anti-hepatoblastoma activity both in vitro and in vivo, indicating the importance of developing AE-848 as a potential drug for hepatoblastoma treatment.

cancer biology↗

Red blood cell lingering modulates hematocrit distribution in the microcirculation

The distribution of red blood cells (RBCs) in the microcirculation determines the oxygen delivery and solute transport to tissues. This process relies on the partitioning of RBCs at successive bifurcations throughout the microvascular network and it is known since the last century that RBCs partition disproportionately to the fractional blood flow rate, therefore leading to heterogeneity of the hematocrit (i.e. volume fraction of RBCs in blood) in microvessels. Usually, downstream of a microvascular bifurcation, the vessel branch with a higher fraction of blood flow receives an even higher fraction of RBC flux. However, both temporal and time-average deviations from this phaseseparation law have been observed in recent works. Here, we quantify how the microscopic behavior of RBCs lingering (i.e. RBCs temporarily residing near the bifurcation apex with diminished velocity) influences their partitioning, through combined in vivo experiments and in silico simulations. We developed an approach to quantify the cell lingering at highly-confined capillary-level bifurcations and demonstrate that it correlates with deviations of the phase-separation process from established empirical predictions by Pries et al. Furthermore, we shed light on how the bifurcation geometry and cell membrane rigidity can affect the lingering behavior of RBCs, e.g. rigid cells tend to linger less than softer ones. Taken together, RBC lingering is an important mechanism that should be considered when studying how abnormal RBC rigidity in diseases such as malaria and sickle-cell disease could hinder the microcirculatory blood flow or how the vascular networks are altered under pathological conditions (e.g. thrombosis, aneurysm).

biophysics↗

Aldy 4: An efficient genotyper and star-allele caller for pharmacogenomics

High-throughput sequencing provides sufficient means for determining genotypes of clinically important pharmacogenes that can be used to tailor medical decisions to individual patients. However, pharmacogene genotyping, also known as star-allele calling, is a challenging problem that requires accurate copy number calling, structural variation discovery, variant calling and phasing within each pharmacogene copy present in the sample. Here we introduce Aldy 4, a fast and efficient tool for genotyping pharmacogenes that utilizes combinatorial optimization for accurate star-allele calling across different sequencing technologies. Aldy 4 adds support for long reads and ships with a novel phasing model and improved copy number and variant calling models. We compare Aldy 4 against the current state-of-the-art star-allele callers on a large and diverse set of samples and genes sequenced by various sequencing technologies, such as whole-genome and targeted Illumina sequencing, barcoded 10X Genomics and PacBio HiFi. We show that Aldy 4 is the most accurate star-allele caller with near-perfect accuracy in all evaluated contexts. We hope that Aldy remains an invaluable tool in the clinical toolbox even with the advent of long-read sequencing technologies. AvailabilityAldy 4 is available at https://github.com/0xTCG/aldy.

bioinformatics↗

A unique peptide recognition mechanism by the human relaxin family peptide receptor 4 (RXFP4)

Members of the insulin superfamily regulate a variety of biological processes through two types of target-specific but structurally conserved peptides, insulin/insulin-like growth factors and relaxin/insulin-like peptides. The latter bind to the human relaxin family peptide receptors (RXFPs), which are class A G protein-coupled receptors (GPCRs), to exert pleiotropic actions. Here, we report three cryo-electron microscopy structures of RXFP4-Gi protein complexes in the presence of the endogenous ligand insulin-like peptide 5 (INSL5) or one of the two small molecule agonists, compound 4 and DC591053, both were discovered through medicinal chemistry efforts. The B chain of INSL5 adopts a single -helix that penetrates into the orthostatic pocket, while the A chain sits above the orthosteric pocket to interact with the extracellular surface of RXFP4, revealing a unique peptide-binding mode previously unknown. Together with mutagenesis and functional analyses, the key determinants responsible for the peptidomimetic agonism and subtype selectivity were identified. DC591053 selectively mimicked the action of INSL5 at RXFP4 whereas compound 4 activated both RXFP3 and RXFP4. Comparison of peptide binding modes within the insulin superfamily displayed diverse interaction mechanisms distinct to each type of the peptides. Our findings not only provide valuable insights into ligand recognition and subtype selectivity among class A GPCRs, but also expand the knowledge of signaling mechanisms in the insulin superfamily.

molecular biology↗

Intrinsic BMP inhibitor Gremlin regulates lung alveolar progenitor cell proliferation and differentiation

Type 1 alveolar epithelial cells (AT1s) and type 2 alveolar epithelial cells (AT2s) regulate the structural integrity and function of alveoli. AT1s mediate gas exchange, whereas AT2s serve multiple functions, including surfactant secretion and alveolar repair through proliferation and differentiation into AT1s as progenitors. However, mechanisms regulating AT2 proliferation and differentiation remain unclear. Here we demonstrate that Gremlin, an intrinsic inhibitor of bone morphogenetic protein (BMP), induces AT2 proliferation and differentiation. Transient overexpression of Gremlin in rat lungs by adenovirus vector delivery suppressed BMP signaling, induced proliferation of AT2s and the production of Bmp2, which in turn led to the recovery of BMP signaling and induced AT2 differentiation into AT1s. Gremlin was upregulated in a bleomycin-induced lung injury model. TGF-{beta} and IL-1{beta} induced Gremlin expression in fibroblasts. Taken together, our findings implicate that Gremlin expression during lung injury leads to precisely timed inhibition of BMP signaling and activates AT2s, leading to alveolar repair.

molecular biology↗

Adrenal sympathetic nerve mediated the anti-inflammatory effect of electroacupuncture at ST25 acupoint on a rat model of sepsis

Acupuncture plays a vital anti-inflammatory action on sepsis through activating autonomic nerve anti-inflammatory pathways, such as sympathoadrenal medullary pathway, but the mechanism remains unclear. This study aims to explore the optimum parameter of electroacupuncture (EA) stimulation in regulating sympathoadrenal medullary pathway and evaluate EAs anti-inflammatory effect on sepsis. To explore the optimum parameter of EA at homosegmental acupoint on adrenal sympathetic activity, the left adrenal sympathetic nerve firing rate evoked by different intensities of single shock electrical stimulation (ES) at ST25 in healthy male Sprague-Dawley (SD) rats were evaluated by in vivo electrophysiological recording, and the levels of norepinephrine (NE) and its metabolites were also examined using mass spectrometry. To verify the role of EA at ST25 in sepsis, the rat was given intraperitoneal injection lipopolysaccharide to induce sepsis model, and survival rate, clinical score, and the level of interleukin (IL)-6, IL-1{beta}, and IL-10 were evaluated after EA application. We observed that 3 mA is the optimal intensity on activating adrenal sympathetic nerve, which significantly elevated the level of NE in the peripheral blood. For LPS-treated rats, EA at the ST25 apparently increased the survival rate and improved the clinical score compared to the control group. Furthermore, 3 mA EA at ST25 significantly decreased pro-inflammatory cytokines IL-6 and IL-1{beta} and upregulated anti-inflammatory cytokine IL-10 compared to the Lipopolysaccharide (LPS)-treated group. Overall, these data suggest that 3 mA is the optimal EA intensity at ST25 to activate the sympathoadrenal medullary pathway and exert an anti-inflammatory effect on sepsis. HighlightsO_LI3 mA single shock ES at ST25 drove adrenal sympathetic nerve reflexs. C_LIO_LI3 mA EA at ST25 upregulated NE concentration in peripheral blood. C_LIO_LIEA at ST25 improved the survival rate in a rat of LPS-induced sepsis model. C_LIO_LIEA at the ST25 upregulated anti-inflammatory IL10 and downregulated pro-inflammatory IL1{beta} and IL-6 in LPS-treated rats. C_LI

neuroscience↗

Evolutionary survival strategies of the female giant panda: optimizing energy resources and expenditure prior to pregnancy by postponing corpus luteum reactivation

The giant panda reproductive physiology shows important similarities with at least six of the eight existing bear species: the occurrence of diapause and/or pseudopregnancy is commonly described in bears. Nevertheless, significant differences including the earlier breeding season with - in general - a single estrus, a shorter delay of implantation and a more variable birth season, indicate an evolutionary adaptation from the seasonal reproductive traits described in hibernating bear species. In this study we aimed to determine true pregnancy length for giant pandas and to open the discussion on the peculiarities of giant panda reproductive biology, more specifically focusing on the rationale behind their short-seasoned reproductive cycle compared to the other bear species. For this purpose, metabolic (body weight and fecal output) profiles were matched with endocrine changes, mainly urinary progesterone metabolites, in 5 pregnant, 8 non-birth and 6 pseudopregnant cycles of 6 female giant pandas. Pregnancy in giant pandas lasts only 42 days from early reactivation of the corpora lutea (CLs) until birth. In addition, our findings urged the need to redefine the generally accepted biphasic progesterone profile into a triphasic primary progesterone rise (corpus luteum dormancy (CLD) I, II and III) prior to entering the active luteal phase (= secondary progesterone rise). Two episodes of progesterone increase (CLDII: 81.20 {+/-} 5.85 days versus CLDIII: 60.80 {+/-} 3.83 days prior to birth for pregnant cycles) were identified, respectively corresponding to CL reactivation (74-88 days prior to birth) and implantation ({+/-} 60 days prior to birth) in other bear species. The progesterone concentration during CLDIII was higher in pregnant cycles, indicating a potential communication between maternal tissues and blastocyst(s) enhancing progesterone concentrations and thus allowing optimal priming of uterine tissues to better prepare for blastocyst reactivation/development. Compared with other bear species, giant pandas seem to shorten the active luteal phase, and thus pregnancy, by approximately 30 days by actively postponing CL reactivation. Potential mechanisms in play overruling and suppressing the evolutionary conserved photoperiodical triggers of CL reactivation are discussed while a parallel study will further elaborate on the CL dynamics during giant panda gestation.

evolutionary biology↗