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Biology subjects

Zou, X.

Publications and source records attributed to Zou, X..

At least 37 records · Page 2Linked to original sources

Cell modeling and rescue of a novel non-coding genetic cause of Glycogen Storage Disease IX

Delayed diagnosis of Mendelian disease substantially prevents early therapeutic intervention that could improve symptoms and prognosis. One major contributing challenge is the functional interpretation of non-coding variants that cause disease by altering splicing and/or gene expression. We identified two siblings with glycogen storage disease (GSD) type IX {gamma}2, both of whom had a classic clinical presentation, enzyme deficiency, and a known pathogenic splice acceptor variant on one allele of PHKG2. Despite the autosomal recessive nature of the disease, no variant on the second allele was identified by gene panel sequencing. To identify a potential missing second pathogenic variant, we completed whole genome sequencing (WGS) and detected putative deep intronic splicing variant in PHKG2 in both siblings. We confirmed the functional splicing effects of this variant using short-read and long-read RNA-seq on patient blood and a HEK293T cell model in which we installed the variant using CRISPR editing. Using the cell model, we demonstrated multiple biochemical and cellular impacts that are consistent with GSD IX {gamma}2, and a reversal of aberrant splicing using antisense splice-switching oligonucleotides. In doing so, we demonstrate a novel and robust pathway for detecting, validating, and reversing the impacts of novel non-coding causes of rare disease.

genetics↗

AutoLEI: An XDS-based Graphical User Interface for Automated Real-time and Offline Batch 3D ED/MicroED Data Processing

Three-dimensional electron diffraction (3D ED), also known as microcrystal electron diffraction (MicroED), is an emerging method for determining structures of submicron-sized crystals. With the development of rapid and convenient data collection protocols, acquiring dozens of datasets in a single MicroED session has become routine. A fast and automated workflow for processing, scaling and merging a large number of MicroED datasets can significantly accelerate the structure determination process. Herein, we present an XDS-based graphical user interface for automated real-time and offline batch 3D ED/MicroED data processing (AutoLEI). We illustrate the functionality of the GUI through four examples, demonstrating both offline and real-time data processing capabilities. These examples include small organic molecules, metal-organic frameworks (MOFs), and proteins, showcasing the versatility and efficiency of the GUI in various applications. SynopsisA graphical user interface for real-time and offline 3D ED/MicroED data processing by XDS was developed. The GUI aims to improve efficiency, minimize redundant data processing work, and provide users with real-time feedback during data collection.

molecular biology↗

Rewiring oncogenic signaling to RNA vector replication for the treatment of metastatic cancer

Despite recent advances, improvements to long-term survival in metastatic carcinomas, such as pancreatic or ovarian cancer, remain limited. Current therapies suppress growth-promoting biochemical signals, ablate cells expressing tumor-associated antigens, or promote adaptive immunity to tumor neoantigens. However, these approaches are limited by toxicity to normal cells using the same signaling pathways or expressing the same antigens, or by the low frequency of neoantigens in most carcinomas. Here, we report a fundamentally different strategy for designing safer and more effective anti-cancer therapies through the sensing of cancer-driving biochemical signals and their rewiring to virotherapeutic activation. Specifically, we rationally engineer a RNA vector to self-replicate and cause cytotoxicity in cancer cells exhibiting hyperactive HER2 (ErbB2), but not in normal cells with normal HER2 signaling. Compared to a widely tested virotherapeutic from the same vector family, our hyperactive ErbB2-restricted RNA vector (HERV) exhibits lower toxicity and greater activity against metastatic HER2-positive ovarian cancer in mice, extending survival independently of tumor antigenicity. Most importantly, HERV synergizes with standard-of-care chemotherapy against ovarian cancer metastases in vivo, with 43% of combination-treated subjects surviving for months beyond subjects treated with either therapy alone. Taken together, these results introduce rewiring of cancer-driving signaling pathways to virotherapeutic activation as a strategy for more specific and effective cancer treatment.

synthetic biology↗

Abnormal eNK cells contribute to endometrial fibrosis in intrauterine adhesions patients

Endometrial natural killer cells (eNK) at the proliferative phase are one of the major lymphocytes in the endometrium, but their phenotype and function remain elucidated. Here, we demonstrated that eNK cells had three subtypes and were different from peripheral blood NK (pbNK) and decidual NK (dNK) cells. They played an important role in maintaining the homeostasis of the endometrium through preventing endometrial stromal cells (ESCs) from the differentiation into myofibroblasts physiologically. However, in the fibrotic endometria of patients with intrauterine adhesions (IUA), eNK cells were significantly decreased and highly negatively correlated with an increase in myofibroblasts. In vitro experiments showed that eNK cells could inhibit the differentiation of ESCs into myofibroblasts and promote the dedifferentiation of myofibroblasts, in which the main effector molecules from eNK cells was Prostaglandin D2 (PGD2). PGD2 downregulated the expression of ZNF521 to decrease profibrotic protein synthesis. Furthermore, we confirmed the anti-endometrial fibrosis effect of eNK cells and its mechanism in an IUA-like murine model. These findings reveal an important role of eNK cells in endometrial homeostasis and provide potential therapeutic approaches for IUA patients.

immunology↗

Lineage Detector: Efficient Tool for Detecting New SARS-Cov-2 Lineages

Since the novel virus of SARS-Cov-2s emergence, it continues to mutate at significant speed. The mutation speed and diversity of the virus has reached a level that is hard to be analysed purely via human tracing even with the help of UShER trees. We create an open-sourced tool of Lineage Detector, an automated tool that helps highlight the most important lineages of interest on Usher trees. Lineage Detector can highlight the most interesting SARS-CoV-2 branches for manual investigation and reduce the work of volunteer variant hunters to 8 [~] 10%, greatly improve their efficiency. Since its release, it has helped the identification, proposal and designation process of more than 100 SARS-CoV-2 variants.

bioinformatics↗

Multimodal integration of single cell ATAC-seq data enables highly accurate delineation of clinically relevant tumor cell subpopulations

Accurately deciphering tumor cellular heterogeneity is crucial for developing effective treatments. While single-cell epigenomics assays offer powerful insights into studying tumor heterogeneity beyond the transcriptional level, their application remains a significant challenge. To address this, we introduce Multimodal-based Analysis of scATAC-Seq data (MAAS), a method designed to identify functional tumor cell subpopulations and reconstruct their lineages from single-cell sequencing assay for transposase-accessible chromatin (scATAC-seq). MAAS uniquely integrates multimodal information, encompassing chromatin accessibility, copy number variations (CNVs), and single-nucleotide variants, through self-expressive multimodal matrix factorization. MAAS outperforms existing methods in accuracy and robustness on both simulated and real datasets. When applied to multiple glioma scATAC-seq datasets, MAAS uncovered a previously hidden tumor cell subpopulation resistant to temozolomide treatment. Furthermore, MAAS effectively detected clinically relevant subpopulations with low CNVs, such as those found in pediatric ependymoma and B-cell lymphoma. Additionally, we developed a novel MAAS-derived clinical signature that provides superior prognostic prediction than traditional clinicopathologic features across multiple cancer types. In summary, MAAS significantly advances the identification of clinically relevant tumor cell subpopulations, thereby accelerating the discovery of potential therapeutic targets.

bioinformatics↗

Memorize multiple phase pattern attractors in nonlinear coupled oscillators dynamic via heterogeneous connectivity strength

Whole brain neural oscillation activities exhibit multiple wave patterns and seem to be supported by the common circuit network structure. We proposed a Hebbian-like Kuramoto model based entirely on heterogeneous connectivity strength rather than phase delay, which encodes the multiple phase patterns as attractors. We systematically investigated how the model dynamic landscape influenced by attractors and their corresponding eigenvalues, as well as how to control the stability of equilibrium points and the occurrence of high dimension bifurcations. This framework enables us to reproduce the dominant wave activity components in human brain functional MRI signal, and provides a canonical model for the multi body physical system spatio-temporal pattern attractor dynamics.

neuroscience↗

Bayesian Estimation of Allele-Specific Expression in the Presence of Phasing Uncertainty

MotivationAllele-specific expression (ASE) analyses aim to detect imbalanced expression of maternal versus paternal copies of an autosomal gene. Such allelic imbalance can result from a variety of cis-acting causes, including disruptive mutations within one copy of a gene that impact the stability of transcripts, as well as regulatory variants outside the gene that impact transcription initiation. Current methods for ASE estimation suffer from a number of shortcomings, such as relying on only one variant within a gene, assuming perfect phasing information across multiple variants within a gene, or failing to account for alignment biases and possible genotyping errors. ResultsWe developed BEASTIE, a Bayesian hierarchical model designed for precise ASE quantification at the gene level, based on given genotypes and RNA-Seq data. BEASTIE addresses the complexities of allelic mapping bias, genotyping error, and phasing errors by incorporating empirical phasing error rates derived from Genome-in-a-Bottle individual NA12878. BEASTIE surpasses existing methods in accuracy, especially in scenarios with high phasing errors. This improvement is critical for identifying rare genetic variants often obscured by such errors. Through rigorous validation on simulated data and application to real data from the 1000 Genomes Project, we establish the robustness of BEASTIE. These findings underscore the value of BEASTIE in revealing patterns of ASE across gene sets and pathways. Availability and ImplementationThe software is freely available from https://github.com/x811zou/BEASTIE. BEASTIE is available as Python source code and as a Docker image. Supplementary informationAdditional information is available online.

bioinformatics↗

Self-Assembled Chambered Cardiac Organoids for Modeling Cardiac Chamber Formation and Cardiotoxicity Assessment

The human heart, crucial for health and longevity, is a primary focus of medical research. Despite advancements in cardiac organoid technology, replicating early cardiac chamber formation stages remains challenging. Here, we develop chambered cardiac organoids (CCOs) by orchestrating cardiac signaling pathways, including the synergistic modulation of FGF and Wnt signaling via the HAND1 transcription factor. These CCOs exhibit stable chambers with self-organized outer myocardial and inner endocardial layers, and express developmental markers such as NKX2.5, TNNT2, and NAPPA, demonstrating physiological functionality including spontaneous contractions and calcium transients. Immunofluorescence and single-cell RNA sequencing confirmed the presence and stability of cardiomyocytes within CCOs. Further validation showed CCOs involvement in critical processes like endothelial-mesenchymal transition (EndoMT) and valvulogenesis. Ultrastructural and electrophysiological analysis revealed organized myofibrils and atrial-like action potentials. Importantly, CCOs proved effective in assessing cardiotoxicity through observable morphological changes, demonstrating specific cellular responses to established cardiotoxic compounds, thereby highlighting their potential for drug testing and safety evaluations. Our findings offer insights into cardiac chamber formation mechanisms and establish a robust platform for drug testing, disease modeling, and personalized medicine, representing a significant advancement in functional cardiac organoid development for both basic research and translational applications.

cell biology↗

A nuclear RNA degradation code for eukaryotic transcriptome surveillance

The RNA exosome plays critical roles in eukaryotic RNA degradation, but it remains unclear how the exosome specifically recognizes its targets. The PAXT connection is an adaptor that recruits the exosome to polyadenylated RNAs in the nucleus, especially transcripts polyadenylated at intronic poly(A) sites. Here we show that PAXT-mediated RNA degradation is induced by the combination of a 5' splice site and a poly(A) junction, but not by either sequence alone. These sequences are bound by U1 snRNP and cleavage/polyadenylation factors, which in turn cooperatively recruit PAXT. As the 5' splice site-poly(A) junction combination is typically not found on correctly processed full-length RNAs, we propose that it functions as a "nuclear RNA degradation code" (NRDC). Importantly, disease-associated single nucleotide polymorphisms that create novel 5' splice sites in 3' untranslated regions can induce aberrant mRNA degradation via the NRDC mechanism. Together our study identified the first NRDC, revealed its recognition mechanism, and characterized its role in human diseases.

molecular biology↗

Ion channel inhibition by targeted recruitment of NEDD4-2 with divalent nanobodies

Targeted recruitment of E3 ubiquitin ligases to degrade traditionally undruggable proteins is a disruptive paradigm for developing new therapeutics. Two salient limitations are that <2% of the ~600 E3 ligases in the human genome have been exploited to produce proteolysis targeting chimeras (PROTACs), and the efficacy of the approach has not been demonstrated for a vital class of complex multi-subunit membrane proteins-- ion channels. NEDD4-1 and NEDD4-2 are physiological regulators of myriad ion channels, and belong to the 28-member HECT (homologous to E6AP C-terminus) family of E3 ligases with widespread roles in cell/developmental biology and diverse diseases including various cancers, immunological and neurological disorders, and chronic pain. The potential efficacy of HECT E3 ligases for targeted protein degradation is unexplored, constrained by a lack of appropriate binders, and uncertain due to their complex regulation by layered intra-molecular and posttranslational mechanisms. Here, we identified a nanobody that binds with high affinity and specificity to a unique site on the N-lobe of the NEDD4-2 HECT domain at a location physically separate from sites critical for catalysis-- the E2 binding site, the catalytic cysteine, and the ubiquitin exosite-- as revealed by a 3.1 [A] cryo-electron microscopy reconstruction. Recruiting endogenous NEDD4-2 to diverse ion channel proteins (KCNQ1, ENaC, and CaV2.2) using a divalent (DiVa) nanobody format strongly reduced their functional expression with minimal off-target effects as assessed by global proteomics, compared to simple NEDD4-2 overexpression. The results establish utility of a HECT E3 ligase for targeted protein downregulation, validate a class of complex multi-subunit membrane proteins as susceptible to this modality, and introduce endogenous E3 ligase recruitment with DiVa nanobodies as a general method to generate novel genetically-encoded ion channel inhibitors.

biophysics↗

Roles and mechanisms of leptomeningeal collaterals in human distal MCA territory ischemia

BackgroundLeptomeningeal collaterals (LMCs) provided hemodynamic support and reperfusion during acute ischemic stroke (AIS). Although regulation details have been deeply acquired from animal models, human cortex may share limited hemodynamic patterns due to larger physical scale that needs further investigation. MethodsWe performed sequential hierarchical blocking during awake craniotomy on fourteen human subjects to mimic AIS in middle cerebral artery (MCA) M4 segment territory. Widefield microscope was applied to reveal microcirculation of LMCs. Relative flow rate (RFR) was measured to evaluate the impact of LMCs hierarchy on microcirculation maintenance. Single-cell sequencing and spatial transcriptomics were further performed to analyze the mechanism of different LMCs recruitment abilities. ResultsLMCs RFR decreased to 30.75% immediately (95% CI, 6.64 - 54.86%, P < 0.001), and about 80.25% RFR was finally recovered within 5 minutes (95% CI, 55.2 - 105.3%, P = 0.0034) during M4 occlusion. For M5 and pial branches occlusion, RFR decreased to 55.78% with no further recovery (95% CI, 22.50-89.05%, P = 0.014), and 4 in 11 subjects had no valid microcirculation. For subjects with better recruitment ability, the proportion of arteriole is much higher in leptomeninx (76 - 79% vs. 36 - 56%). There were more significant interaction pairs associated with key signaling pathways between arteriole and neuron/astrocyte (TGF-beta signaling pathway, ECM-receptor interaction) ConclusionsAbundant LMCs supported hemodynamic stability during AIS in human subjects. The proportion of arteriole is much higher in leptomeninx for subjects with better recruitment ability. The Active neuron/astrocyte - arteriole interaction may improve LMCs recruitment. GRAPH ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=78 SRC="FIGDIR/small/594043v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@eb7fb8org.highwire.dtl.DTLVardef@10e10aforg.highwire.dtl.DTLVardef@6954c7org.highwire.dtl.DTLVardef@13ceb98_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

Structural basis for the inhibition of coronaviral main proteases by PF-00835231

The main protease (Mpro) of coronaviruses plays a key role in viral replication, thus serving as a hot target for drug design. It has been proven that PF-00835231 is promising inhibitor of SARS-CoV-2 Mpro. Here, we report the inhibition potency of PF-00835231 against SARS-CoV-2 Mpro and seven Mpro mutants (G15S, M49I, Y54C, K90R, P132H, S46F, and V186F) from SARS-CoV-2 variants. The results confirm that PF-00835231 has broad-spectrum inhibition against various coronaviral Mpros. In addition, the crystal structures of SARS-CoV-2 Mpro, SARS-CoV Mpro, MERS-CoV Mpro, and seven SARS-CoV-2 Mpro mutants (G15S, M49I, Y54C, K90R, P132H, S46F, and V186F) in complex with PF-00835231 are solved. A detailed analysis of these structures reveal key determinants essential for inhibition and elucidates the binding modes of different coronaviral Mpros. Given the importance of the main protease for the treatment of coronaviral infection, structural insights into the Mpro inhibition by PF-00835231 can accelerate the design of novel antivirals with broad-spectrum efficacy against different human coronaviruses.

molecular biology↗

Genome-Wide CRISPR-Cas9 Screening Identifies a Synergy between Hypomethylating Agents and SUMOylation Blockade in MDS/AML

Hypomethylating agents (HMAs) are frontline therapies effective at altering the natural course of Myelodysplastic Neoplasms (MDS) and Acute Myeloid Leukemia (AML). However, acquired resistance and treatment failure are hallmarks of HMA therapy. To address this clinical need, we performed a genome-wide CRISPR-Cas9 screen in a human MDS-derived cell line, MDS-L, and identified TOPORS as a highly ranked loss-of-function target that synergizes with HMAs, reducing leukemic burden and improving survival in xenograft models. We demonstrate that the depletion of TOPORS mediates sensitivity to HMAs by predisposing leukemic blasts to an impaired DNA damage response (DDR) accompanied by an accumulation of SUMOylated DNMT1 in HMA-treated TOPORS-depleted cells. Importantly, the combination of HMAs with targeting of TOPORS did not functionally impair healthy hematopoiesis. While inhibitors of TOPORS are currently unavailable, we show that inhibition of protein SUMOylation (upstream of TOPORS functions) with TAK-981 partially phenocopies HMA-sensitivity and DDR impairment. Overall, our data suggest that the combination of HMAs with the inhibition of SUMOylation or TOPORS demonstrates a favourable therapeutic index and is a rational treatment framework for High-Risk MDS (HR-MDS) or AML.

molecular biology↗

Cell-specific polymerization-driven biomolecular condensate formation fine-tunes root tissue morphogenesis

Formation of biomolecular condensates can be driven by weak multivalent interactions and emergent polymerization. However, the mechanism of polymerization-mediated condensate formation is less studied. We found lateral root cap cell (LRC)-specific SUPPRESSOR OF RPS4-RLD1 (SRFR1) condensates fine-tune primary root development. Polymerization of the SRFR1 N-terminal domain is required for both LRC condensate formation and optimal root growth. Surprisingly, the first intrinsically disordered region (IDR1) of SRFR1 can be functionally substituted by a specific group of intrinsically disordered proteins known as dehydrins. This finding facilitated the identification of functional segments in the IDR1 of SRFR1, a generalizable strategy to decode unknown IDRs. With this functional information we further improved root growth by modifying the SRFR1 condensation module, providing a strategy to improve plant growth and resilience.

molecular biology↗

The subcommissural organ regulates brain development via secreted peptides

The subcommissural organ (SCO) is a gland located at the entrance of the aqueduct of Sylvius in the brain. It exists in species as distantly related as amphioxus and humans, but its function is largely unknown. To explore its function, we compared transcriptomes of SCO and non-SCO brain regions and found three genes, Sspo, Car3, and Spdef, that are highly expressed in the SCO. Mouse strains expressing Cre recombinase from endogenous promoter/enhancer elements of these genes were used to genetically ablate SCO cells during embryonic development, resulting in severe hydrocephalus and defects in neuronal migration and development of neuronal axons and dendrites. Unbiased peptidomic analysis revealed enrichment of three SCO-derived peptides, namely thymosin beta 4, thymosin beta 10, and NP24, and their reintroduction into SCO-ablated brain ventricles substantially rescued developmental defects. Together, these data identify a critical role for the SCO in brain development.

neuroscience↗

Expression of Most Retrotransposons in Human Blood Correlates with Biological Aging

Retrotransposons (RTEs) have been postulated to reactivate with age and contribute to aging through activated innate immune response and inflammation. Here, we analyzed the relationship between RTE expression and aging using published transcriptomic and methylomic datasets of human blood. Despite no observed correlation between RTE activity and chronological age, the expression of most RTE classes and families except short interspersed nuclear elements (SINEs) correlated with biological age-associated gene signature scores. Strikingly, we found that the expression of SINEs was linked to upregulated DNA repair pathways in multiple cohorts. We also observed DNA hypomethylation with aging and significant increase in RTE expression level in hypomethylated RTEs except for SINEs. Additionally, our single-cell transcriptomic analysis suggested a role for plasma cells in aging mediated by RTEs. Altogether, our multi-omics analysis of large human cohorts highlights the role of RTEs in biological aging and suggests possible mechanisms and cell populations for future investigations.

genomics↗

The Role of Rhizosphere Microorganisms and CNPS Genes in Shaping Nutritional Traits of Capsicum

The rhizosphere microbiota plays crucial roles in biogeochemical cycling and primary production. However, there is a lack of research exploring the complex relationships between microbiota and their functional traits in pepper rhizospheres, as well as their impact on nutrient cycling processes. Here, we investigated the effects of pepper species on the rhizomicrobiota and functional genes (C/N/P/S) on nutrient absorptions and accumulations in pepper organs. The results revealed that Pepper YZ/BE had higher N content in all compartments, which could be attributed to the presence of enriched N-metabolic microbes (Gaiellales/Leifsonia) and higher expression of N availability-promoting genes (ureC/amoA2/nxrA/napA) in rhizospheres. Additionally, we utilized co-occurrence network analysis and partial least squares path modeling (PLS-PM) to understand the interactions among the variables. The bacterial network exhibited more associations than the fungal network, and the abundance of certain modules positively correlated with the expression of CNPS genes, which thus significantly influenced pepper nutrient content. The PLS-PM analysis demonstrated that taxa abundance in network modules, functional genes, and rhizospheric soil properties collectively explained 92% of the variance in pepper nutrient content. Overall, this study provides valuable experimental and theoretical insights into the effects of rhizosphere microorganisms and CNPS genes on the nutritional traits of Capsicum. HighlightThe rizho-bacterial community harbored more robust relationships than the fungal ones, which formed the functional clusters highly linking to the below- and aboveground nutrient properties of pepper species.

microbiology↗