Biology subjects

Zhu, Q.

Publications and source records attributed to Zhu, Q..

At least 145 records · Page 8Linked to original sources

bioRxiv2022

Shared Graft Versus Leukemia Minor Histocompatibility Antigens in DISCOVeRY-BMT

T cell responses to minor histocompatibility antigens (mHAs) mediate graft versus leukemia (GvL) effects and graft versus host disease (GvHD) in allogeneic hematopoietic cell transplant (alloHCT). Therapies that boost T cell responses improve the efficacy of alloHCT; however, these have been limited by concurrent increases in the incidence and severity of GvHD. mHAs with expression restricted to hematopoietic tissue (GvL mHAs) are attractive targets for driving GvL without causing GvHD. Prior work to identify mHAs has focused on a small set of mHAs or population-level SNP association studies. We report here the discovery of a large set of novel GvL mHAs based on predicted peptide immunogenicity, restriction of expression to hematopoietic tissue or GvHD target organs, and degree of sharing among donor-recipient pairs (DRPs) in the DISCOVeRY-BMT dataset of 3231 alloHCT DRPs. The total number of predicted mHAs and count within each class of predicted mHAs significantly differed by recipient genomic ancestry group, with European American>Hispanic>African American for each. The number of mHAs also differed markedly by HLA allele, even among alleles of the same gene. From the pool of predicted mHAs, we identified the smallest sets of GvL mHAs needed to cover 100% of DRPs with a given HLA allele. We then used mass spectrometry to search for high population frequency mHAs for three common HLA alleles. We validated a total of 24 novel predicted GvL mHAs that cumulatively are found within 98.8%, 60.7%, and 78.9% of DRPs within DISCOVeRY-BMT that express HLA-A*02:01, HLA-B*35:01, and HLA-C*07:02 respectively. We also confirmed in vivo immunogenicity of one example novel mHA via coculture of healthy human CD8 T cells with mHA-pulsed dendritic cells. This work demonstrates that identification of shared mHAs is a feasible and promising technique for expanding mHA-targeting immunotherapeutics to larger numbers of patients.

cancer biology↗

bioRxiv2022

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↗

bioRxiv2022

BinaRena: a dedicated interactive platform for human-guided exploration and binning of metagenomes

Exploring metagenomic contigs and "binning" them are essential for delineating functional and evolutionary guilds within microbial communities. Despite available automated binners, researchers often find human involvement necessary to achieve representative results. We present BinaRena, an interactive graphic interface dedicated to aiding human operators to explore contigs via customizable visualization and to associate them with bins based on various data types, including sequence metrics, coverage profiles, taxonomic assignments and functional annotations. Binning plans can be edited, inspected and compared visually or using algorithms. Completeness and redundancy of user-selected contigs can be calculated real-time. We show that BinaRena facilitated biological pattern discovery, hypothesis generation and bin refinement in a tropical peatland metagenome. It enabled isolation of pathogenic genomes within closely-related populations from human gut samples. It significantly improved overall binning quality after curation using a simulated marine dataset. BinaRena is an installation-free, client-end web application for researchers of all levels.

bioinformatics↗

bioRxiv2022

Bento: A toolkit for subcellular analysis of spatial transcriptomics data

The spatial organization of molecules in a cell is essential for performing their functions. Spatial transcriptomics technologies have opened the door to characterization of cellular and subcellular organization. While current computational methods focus on discerning tissue architecture, cell-cell interactions and spatial expression patterns, these approaches are limited to investigating spatial variation at the multicellular scale. We present Bento, a Python toolkit that fully takes advantage of single-molecule information to enable spatial analysis at the subcellular scale. Bento ingests molecular coordinates and segmentation boundaries to perform three fundamental analyses: defining subcellular domains, annotating localization patterns, and quantifying gene-gene colocalization. To demonstrate the toolkit, we apply these methods to a variety of datasets including U2-OS cells (MERFISH), 3T3 cells (seqFISH+), and treated cardiomyocytes (Molecular Cartography). We quantify RNA localization changes in cardiomyocytes identifying mRNA depletion of critical cardiac disease-associated genes RBM20 and CACNB2 from the endoplasmic reticulum upon doxorubicin treatment. The Bento package is a member of the open-source Scverse ecosystem, enabling integration with other single-cell omics analysis tools.

bioinformatics↗

bioRxiv2022

Uncovering the spatial landscape of molecular interactions within the tumor microenvironment through latent spaces

Recent advances in spatial transcriptomics (ST) enable gene expression measurements from a tissue sample while retaining its spatial context. This technology enables unprecedented in situ resolution of the regulatory pathways that underlie the heterogeneity in the tumor and its microenvironment (TME). The direct characterization of cellular co-localization with spatial technologies facilities quantification of the molecular changes resulting from direct cell-cell interaction, as occurs in tumor-immune interactions. We present SpaceMarkers, a novel bioinformatics algorithm to infer molecular changes from cell-cell interaction from latent space analysis of ST data. We apply this approach to infer molecular changes from tumor-immune interactions in Visium spatial transcriptomics data of metastasis, invasive and precursor lesions, and immunotherapy treatment. Further transfer learning in matched scRNA-seq data enabled further quantification of the specific cell types in which SpaceMarkers are enriched. Altogether, SpaceMarkers can identify the location and context-specific molecular interactions within the TME from ST data.

bioinformatics↗

bioRxiv2022

Trophoblast and blood vessel organoid cultures recapitulate the role of WNT2B in promoting intravillous vascularization in human intrauterine and ectopic pregnancy

Tubal ectopic pregnancy (TEP), a pregnancy complication caused by aberrant implantation in fallopian tubes, accounts for 9-13% pregnancy-related deaths. The lack of models for human TEP hampers the understanding of its pathological mechanisms. Here, we employed multiple models to investigate the crosstalk between human trophoblast development and intravillous vascularization. We found that the severity of TEP, the size of placental villi, and the depth of trophoblast invasion are correlated with the extent of intravillous vascularization. We identified a key pro-angiogenic factor secreted by trophoblasts, WNT2B, that promotes villous vasculogenesis, angiogenesis, and vascular network expansion. In an organoid coculture model consisting of trophoblast organoids and blood vessel organoids, knockdown of WNT2B in trophoblast organoids compromises their pro-angiogenic effect on the development of blood vessel organoids. These organoid-based models reveal an important role for WNT-mediated angiogenesis in pregnancies and could be employed to investigate the commutations between trophoblasts and endothelial/endothelial progenitor cells.

cell biology↗

bioRxiv2022

The specific roles of renal macrophages in monitoring and clearing off intratubular particles

During the filtrate of the glomerulus flows though the renal tubular system, a variety of microscopic sediment particles, including mineral crystals resulting from urine concentration, are generated. Dislodging these particles in the intratubular compartment is critical to ensure free flow of filtrate and the final formation of urine. However, the underlying mechanism for the clearance is unclear. Here, using high-resolution microscopy, we uncovered that the juxtatubular macrophages in the medulla constitutively formed transepithelial protrusions and were "sampling" urine contents. These behaviors were strengthened in the development of nephrolithiasis. In particular, the juxtatubular macrophages were efficient in sequestering and phagocytosing intraluminal sediment particles, and occasionally making transmigration to the tubule lumen to escort the excretion of urine particles. Specific depletion of renal macrophages precipitated kidney stone formation and aggravated the accompanied inflammation upon hyperoxaluria challenge. Thus, renal macrophages undertake a specific role in maintaining the tubular system unobstructed.

immunology↗

bioRxiv2022

A spatial genome aligner for multiplexed DNA-FISH

Multiplexed fluorescence in situ hybridization (FISH) has emerged as a powerful approach for analyzing 3D genome organization, but it is eminently challenging to derive chromosomal conformations from noisy fluorescence signals. Tracing chromatin is not straightforward as chromosomes lack conserved shapes for reference checking whether an observed fluorescence signal belongs to a chromatin fiber or not. Here we report a spatial genome aligner that parses true chromatin signal from noise by aligning signals to a DNA polymer model. We demonstrate that this spatial genome aligner can efficiently reconstruct chromosome architectures from DNA-FISH data across multiple scales and determine chromosome ploidies de novo in interphase cells. Reprocessing of previous whole-genome chromosome tracing data with this method revealed the spatial aggregation of sister chromatids in S/G2 phase cells in asynchronous mouse embryonic stem cells, and uncovered extranumerary chromosomes that remain tightly paired in post-mitotic neurons of the adult mouse cortex. Our spatial genome aligner may facilitate the adaption of multiplexed DNA-FISH by the community.

genomics↗

bioRxiv2022

Koisio Technology-Modulated Cell Culture Media can Significantly Increase the Antioxidant Capacity of Mouse Fibroblasts

Oxidative stress is not only a critical common pathological factor of numerous diseases, but also an important factor in the aging process. It is highly valuable to discover novel and economic substances for enhancing the antioxidant capacity of human body. In this study we used a cell culture model to determine the antioxidant capacity of Koisio technology-modulated solutions without additions of any external substances. Our study has obtained the following findings: First, the cells cultured in Koisio technology-modulated cell culture media (KM) showed significantly greater capacity to decrease H2O2-induced oxidative stress, compared with the cells cultured in regular cell culture media; second, the cells cultured in KM showed significantly greater capacity to resist H2O2-induced decreases in cell number, compared with the cells cultured in regular cell culture media; and third, the H2O2 prepared in Koisio technology-modulated MEM produced significantly lower levels of decreases in cell number, compared with the H2O2 prepared in MEM. Collectively, our study has indicated that Koisio technology can increase the antioxidant capacity of both solutions and cells without additions of any external substances. Based on our previous findings, we proposed that Koisio technology-modulated solutions increase cellular antioxidant capacity at least partially by increasing intracellular ATP levels.

cell biology↗

bioRxiv2022

Differential Effects of Koisio Technology-Modulated Solutions on the Growth of Lung Fibroblast Cell Cultures and Lung Cancer Cell Cultures

Cell growth is a crucial biological property of cells, which plays key roles in several major biological processes including organ development, tissue repair and cancer development. It is of both scientific and medical significance to discover new strategies to modulate cell growth. Koisio technology is a novel technology that modulates the properties of water solely by physical approaches without additions of any external substances. In our current study we obtained the following findings regarding the effects of Koisio technology-modulated solutions on cell growth: First, compared with the lung fibroblast (L929) cell cultures cultured in normal media, the L929 cells cultured in Koisio technology-modulated media grew at approximately 20% higher speed; second, compared with the lung cancer cell cultures (LLC cells) cultured in normal media, the LLC cells cultured in Koisio technology-modulated media grew at approximately 9% lower speed; and third, compared with the telomere lengths of the L929 cells cultured in normal media, the L929 cells cultured in Koisio technology-modulated media had approximately 14% longer telomere length. Collectively, our study has provided the first evidence indicating that Koisio technology-modulated solutions affect differentially the growth of lung fibroblast cell cultures and that of lung cancer cell cultures. The capacity of the Koisio technology-modulated solutions to promote the growth of lung fibroblast cell cultures may result at least partially from its capacity to protect the telomere length.

cell biology↗

bioRxiv2022

Koisio Technology-Modulated Cell Culture Media can Lead to Markedly Increased Intracellular ATP Levels of Fibroblast Cell Cultures

It has been reported that Koisio technology-modulated water without external additions of any substances can enter several types of aquaporins with significantly higher rate. In this study we determined the effects of Koisio technology-modulated cell culture media (Koisio media) on the energy state of cells. We found that for the lung fibroblast (L929) cell cultures, Koisio media without any additions of external substances led to approximately an 57% increase in the intracellular ATP levels of the cell cultures at the Cell Passage 6 - 18, compared with regular cell culture media. Seemingly surprisingly, we did not find that Koisio media could significantly affect the mitochondrial membrane potential of the cells, compared with regular cell culture media. Collectively, our study has provided first evidence indicating that Koisio media can lead to remarkable increases in the intracellular ATP levels of the L929 cell cultures, suggesting significant potential of Koisio technology in generating energy-enhancing water. Our finding that Koisio media did not affect the mitochondrial membrane potential has suggested that novel mechanisms may underlie the effects of Koisio media on cellular energy.

cell biology↗

bioRxiv2021

Structural and functional characterizations of altered infectivity and immune evasion of SARS-CoV-2 Omicron variant

The SARS-CoV-2 Omicron with increased fitness is spreading rapidly worldwide. Analysis of cryo-EM structures of the Spike (S) from Omicron reveals amino acid substitutions forging new interactions that stably maintain an "active" conformation for receptor recognition. The relatively more compact domain organization confers improved stability and enhances attachment but compromises the efficiency of viral fusion step. Alterations in local conformation, charge and hydrophobic microenvironments underpin the modulation of the epitopes such that they are not recognized by most NTD- and RBD-antibodies, facilitating viral immune escape. Apart from already existing mutations, we have identified three new immune escape sites: 1) Q493R, 2) G446S and 3) S371L/S373P/S375F that confers greater resistance to five of the six classes of RBD-antibodies. Structure of the Omicron S bound with human ACE2, together with analysis of sequence conservation in ACE2 binding region of 25 sarbecovirus members as well as heatmaps of the immunogenic sites and their corresponding mutational frequencies sheds light on conserved and structurally restrained regions that can be used for the development of broad-spectrum vaccines and therapeutics.

biophysics↗

bioRxiv2021

A subset of Memory B-derived antibody repertoire from 3-dose vaccinees is ultrapotent against diverse and highly transmissible SARS-CoV-2 variants, including Omicron

Omicron, the most heavily mutated SARS-CoV-2 variant so far, is highly resistant to neutralizing antibodies, raising unprecedented concerns about the effectiveness of antibody therapies and vaccines. We examined whether sera from individuals who received two or three doses of inactivated vaccine, could neutralize authentic Omicron. The seroconversion rates of neutralizing antibodies were 3.3% (2/60) and 95% (57/60) for 2- and 3-dose vaccinees, respectively. For three-dose recipients, the geometric mean neutralization antibody titer (GMT) of Omicron was 15, 16.5-fold lower than that of the ancestral virus (254). We isolated 323 human monoclonal antibodies derived from memory B cells in 3-dose vaccinees, half of which recognize the receptor binding domain (RBD) and show that a subset of them (24/163) neutralize all SARS-CoV-2 variants of concern (VOCs), including Omicron, potently. Therapeutic treatments with representative broadly neutralizing mAbs individually or antibody cocktails were highly protective against SARS-CoV-2 Beta infection in mice. Atomic structures of the Omicron S in complex with three types of all five VOC-reactive antibodies defined the binding and neutralizing determinants and revealed a key antibody escape site, G446S, that confers greater resistance to one major class of antibodies bound at the right shoulder of RBD through altering local conformation at the binding interface. Our results rationalize the use of 3-dose immunization regimens and suggest that the fundamental epitopes revealed by these broadly ultrapotent antibodies are a rational target for a universal sarbecovirus vaccine. One sentence summaryA sub-set of antibodies derived from memory B cells of volunteers vaccinated with 3 doses of an inactivated SARS-CoV-2 vaccine work individually as well as synergistically to keep variants, including Omicron, at bay.

microbiology↗

bioRxiv2021

Haplotype-resolved inversion landscape reveals hotspots of mutational recurrence associated with genomic disorders

Unlike copy number variants (CNVs), inversions remain an underexplored genetic variation class. By integrating multiple genomic technologies, we discover 729 inversions in 41 human genomes. Approximately 85% of inversions <2 kbp form by twin-priming during L1-retrotransposition; 80% of the larger inversions are balanced and affect twice as many base pairs as CNVs. Balanced inversions show an excess of common variants, and 72% are flanked by segmental duplications (SDs) or mobile elements. Since this suggests recurrence due to non-allelic homologous recombination, we developed complementary approaches to identify recurrent inversion formation. We describe 40 recurrent inversions encompassing 0.6% of the genome, showing inversion rates up to 2.7x10-4 per locus and generation. Recurrent inversions exhibit a sex- chromosomal bias, and significantly co-localize to the critical regions of genomic disorders. We propose that inversion recurrence results in an elevated number of heterozygous carriers and structural SD diversity, which increases mutability in the population and predisposes to disease- causing CNVs.

genomics↗

bioRxiv2021

Mechanisms Governing Target Search and Binding Dynamics of Hypoxia-Inducible Factors

Transcription factors (TFs) are classically attributed a modular construction, containing well-structured sequence specific DNA-binding domains (DBDs) paired with disordered activation domains (ADs) responsible for protein-protein interactions targeting cofactors or the core transcription initiation machinery. However, this simple division of labor model struggles to explain why TFs with identical DNA binding sequence specificity determined in vitro exhibit distinct binding profiles in vivo. The family of Hypoxia-Inducible Factors (HIFs) offer a stark example: aberrantly expressed in several cancer types, HIF-1 and HIF-2 subunit isoforms recognize the same DNA motif in vitro - the hypoxia response element (HRE) - but only share a subset of their target genes in vivo, while eliciting contrasting effects on cancer development and progression under certain circumstances. To probe the mechanisms mediating isoform-specific gene regulation, we used live cell single particle tracking (SPT) to investigate HIF nuclear dynamics and how they change upon genetic perturbation or drug treatment. We found that HIF- subunits and their dimerization partner HIF-1{beta} exhibit distinct diffusion and binding characteristics that are exquisitely sensitive to concentration and subunit stoichiometry. Using domain-swap variants, mutations, and a HIF-2 specific inhibitor, we found that although the DBD and dimerization domains are important, a major determinant of chromatin binding and diffusion behavior is the AD-containing intrinsically disordered region (IDR). Using Cut&Run and RNA-seq as orthogonal genomic approaches we also confirmed IDR-dependent binding and activation of a specific subset of HIF-target genes. These findings reveal a previously unappreciated role of IDRs in regulating the TF search and binding process that contribute to functional target site selectivity on chromatin.

molecular biology↗

bioRxiv2021

Single-shot rAAV5-based Vaccine Provides Long-term Protective Immunity against SARS-CoV-2 and Its Variants

The COVID-19 pandemic and the SARS-CoV-2 with its variants have posed unprecedented challenges worldwide. Existing vaccines have limited effectiveness against the SARS-CoV-2 variants. Therefore, novel vaccines to match current mutated viral lineages with long-term protective immunity are urgently in demand. In the current study, we for the first time designed a recombinant Adeno-Associated Virus 5 (rAAV5)-based vaccine named as rAAV-COVID-19 vaccine (Covacinplus) by using RBD-plus of spike protein with both the single-stranded and the self-complementary AAV5 delivering vectors (ssAAV5 and scAAAV5), which provides excellent protection from SARS-CoV-2 infection. A single dose vaccination induced the strong immune response against SARS-CoV-2. The induced neutralizing antibodies (NAs) titers were maintained at a high peak level of over 1:1024 even after more than one year of injection and accompanied with functional T-cells responses in mice. Importantly, both ssAAV- and scAAV-based RBD-plus vaccines exhibited high levels of serum NAs against current circulating variants including variants Alpha, Beta, Gamma and Delta. SARS-CoV-2 virus challenge test showed that ssAAV5-RBD-plus vaccine protected both young and old age mice from SARS-CoV-2 infection in the upper and the lower respiratory tracts. Moreover, whole genome sequencing demonstrated that AAV vector DNA sequences were not found in the genome of the vaccinated mice after one year vaccination, demonstrating excellent safety of the vaccine. Taken together, this study suggests that rAAV5-based vaccine is powerful against SARS-CoV-2 and its variants with long-term protective immunity and excellent safety, which has great potential for development into prophylactic vaccination in human to end this global pandemic.

immunology↗

bioRxiv2021

A distinct core regulatory module enforces oncogene expression in KMT2A-rearranged leukemia

A small set of lineage-restricted transcription factors (TFs), termed core regulatory circuitry (CRC), control cell identity and malignant transformation. Here, we integrated gene dependency, chromatin architecture and TF perturbation datasets to characterize 31 core TFs in acute myeloid leukemia (AML). Contrary to a widely accepted model, we detected a modular CRC structure with hierarchically organized, partially redundant and only sparsely interconnected modules of core TFs controlling distinct genetic programs. Rapid TF degradation followed by measurement of genome-wide transcription rates revealed that core TFs directly regulate dramatically fewer genes than previously assumed. Leukemias carrying KMT2A (MLL) rearrangements depend on the IRF8/MEF2 axis to directly enforce expression of the key oncogenes MYC, HOXA9 and BCL2. Our datasets provide an evolving model of CRC organization in human cells, and a resource for further inquiries into and therapeutic targeting of aberrant transcriptional circuits in cancer.

genomics↗

bioRxiv2021

SvAnna: efficient and accurate pathogenicity prediction for coding and regulatory structural variants in long-read genome sequencing

Structural variants (SVs) are implicated in the etiology of Mendelian diseases but have been systematically underascertained owing to limitations of existing technology. Recent technological advances such as long-read sequencing (LRS) enable more comprehensive detection of SVs, but approaches for clinical prioritization of candidate SVs are needed. Existing computational approaches do not specifically target LRS data, thereby missing a substantial proportion of candidate SVs, and do not provide a unified computational model for assessing all types of SVs. Structural Variant Annotation and Analysis (SvAnna) assesses all classes of SV and their intersection with transcripts and regulatory sequences in the context of topologically associating domains, relating predicted effects on gene function with clinical phenotype data. We show with a collection of 182 published case reports with pathogenic SVs that SvAnna places over 90% of pathogenic SVs in the top ten ranks. The interpretable prioritizations provided by SvAnna will facilitate the widespread adoption of LRS in diagnostic genomics.

bioinformatics↗