bioRxiv Science⌕ Search

Biology subjects

Hua, X.

Publications and source records attributed to Hua, X..

At least 37 records · Page 2Linked to original sources

Scarless circular mRNA-based CAR-T cell therapy elicits superior anti-tumor efficacy

Messenger RNA (mRNA)-based transient expression of CAR shows optimal safety profiles and provides promising opportunities to address existing challenges of viral vector-based CAR-T therapies and to meet emerging medical needs in noncancerous indications. However, linear mRNAs are intrinsically unstable and thus just achieve compromised efficacy. Here, we engineered a permuted intron exon (PIE) platform to synthesize scarless circular mRNA (cmRNA) for potent CAR expression and long-lasting efficacy. cmRNA significantly increased amount and duration of anti-CD19 CAR expression on human T cells. cmRNA-based anti-CD19 CAR-T cells elicit superior anti-tumor efficacy over linear mRNA counterparts, demonstrated by parallel lines of evidence including in vitro specific cell-killing, cytokine release, transcriptomics patterns, and in vivo tumor elimination and survival benefit. We found that cmRNA-based anti-CD19 CAR-T efficiently eliminated target cells in vivo and provide long-lasting antitumor efficacy. These results suggested that cmRNA could be a potent platform for unleashing full potential of mRNA technologies in cell therapies.

immunology↗

Admix-kit: An Integrated Toolkit and Pipeline for Genetic Analyses of Admixed Populations

SummaryAdmixed populations, with their unique and diverse genetic backgrounds, are often underrepresented in genetic studies. This oversight not only limits our understanding but also exacerbates existing health disparities. One major barrier has been the lack of efficient tools tailored for the special challenges of genetic study of admixed populations. Here, we present admix-kit, an integrated toolkit and pipeline for genetic analyses of admixed populations. Admix-kit implements a suite of methods to facilitate genotype and phenotype simulation, association testing, genetic architecture inference, and polygenic scoring in admixed populations. Availability and implementationAdmix-kit package is open-source and available at https://github.com/KangchengHou/admix-kit. Additionally, users can use the pipeline designed for admixed genotype simulation available at https://github.com/UW-GAC/admix-kit_workflow.

genetics↗

SurvBal: Compositional Microbiome Balances for Survival Outcomes

Identification of balances of bacterial taxa in relation to continuous and dichotomous outcomes is an increasingly frequent analytic objective in microbiome profiling experiments. SurvBal enables the selection of balances in relation to censored survival or time-to-event outcomes which are of considerable interest in many biomedical studies. The most commonly used survival models - the Cox proportional hazards and parametric survival models are included in the package, which are used in combination with step-wise selection procedures to identify the optimal associated balance of microbiome, i.e., the ratio of the geometric means of two groups of taxas relative abundances. Availability and implementationSurvBal is available as an R package and a Shiny app: https://github.com/yinglia/SurvBal, https://yinglistats.shinyapps.io/shinyapp-survbal/.

bioinformatics↗

Novel mRNA vaccines encoding Monkeypox virus M1R and A35R protect mice from a lethal virus challenge

The outbreak of Monkeypox virus infection urgently need effective vaccines. However, the vaccines so far approved are all based on whole-virus, which raises safety concerns. MRNA vaccines has demonstrated its high efficacy and safety against SARS-Cov-2 infection. Here, we developed three mRNA vaccines encoding Monkeypox proteins M1R and A35R, including A35R-M1R fusions (VGPox1 and VGPox 2) and a combination of encapsulated full-length mRNAs for A35R and M1R (VGPox 3). All three vaccines induced anti-A35R total IgGs as early as day 7 following a single vaccination. However, only VGPox 1 and 2 produced anti-M1R total IgGs at early dates following vaccination while VGPox 3 did not show significant anti-M1R antibody till day 35. Similar results were also found in neutralizing antibodies and T cell immune response. However, all mRNA vaccine groups completely protected mice from a lethal dose virus challenge and effectively cleared virus in lungs. Collectively, our results indicate that the novel mRNA vaccines coding for a fusion protein of A35R and M1R had a better anti-virus immunity than co-expression of the two individual proteins. The mRNA vaccines are highly effective and can be an alternative to the current whole-virus vaccines to defend Monkeypox virus infection.

immunology↗

Phospholipase C6 Regulates Hydroxyproline O-arabinosyltransferase-mediated Pollen Tube Growth in Arabidopsis

Hydroxyproline O-arabinosylation is a highly-conserved and plant-specific post-translational modification found on extensins and other structural proteins in the cell wall, and is catalyzed by Hydroxyproline O-arabinosyltransferases (HPATs). In Arabidopsis, loss of HPAT1 and HPAT3 (hpat1/3) causes reorganization of components in the pollen tube (PT) cell wall, which compromises cell wall structural integrity and decreases PT growth and fertility. We have previously shown that reduced secretion (caused by loss-of-function mutations in secretory genes EXO70A2, SEC15A, and SEC1A) suppressed cell wall defects and strongly rescued poor growth and fertility in hpat1/3 PTs. Here, we show that a missense mutation in PHOSPHOLIPASE C6 (PLC6) also rescues hpat1/3 PT growth and fertility. Transgenic insertion mutations that disrupt PLC6 expression did not improve hpat1/3 pollen fertility, and did not affect PT growth or fertility in the wild type background. This data suggests that our missense allele (plc6-4) does not function like a true loss-of-function allele, and that PLC6 is not required for wild type PT growth. However, in the absence of hpat1/3, plc6-4 PTs have defects in transmission and polarized growth, as indicated by meandering growth paths and a resulting crooked appearance. plc6-4 PT elongation and straightness are more sensitive to elevated levels of calcium than wild type. This may be due the nature of the plc6-4 mutation, which causes an E569K amino acid substitution in the lipid-binding C2 domain. The 569 position is located among conserved residues that bind calcium. The resulting charge inversion caused by the E569K substitution may disrupt PLC6s lipid binding and phospholipase activities. Here, we show that PLC6 influences polarized PT growth and HPAT-mediated PT growth and fertility, and future studies are necessary to better understand the relationship between calcium and PLC6 in PT growth.

plant biology↗

Pharmacologic Inhibition of DYRK1A Results in MYC Hyperactivation and ERK Hyperphosphorylation rendering KMT2A-R ALL Cells Sensitive to BCL2 Inhibition

KMT2A-rearranged (KMT2A-R) B cell acute lymphoblastic leukemia (ALL) is a high-risk disease in children and adults that is often chemotherapy resistant. To identify non-cytotoxic approaches to therapy, we performed a domain-specific kinome-wide CRISPR screen in KMT2A-R cell lines and patient derived xenograft samples (PDX) and identified dual-specificity tyrosine phosphorylation-regulated kinase 1A (DYRK1A) as a potential target. Pharmacologic inhibition of the KMT2A-fusion transcriptional co-regulator Menin released the KMT2A-fusion complex from the DYRK1A promoter thereby lowering DYRK1A expression levels confirming DYRK1A as a direct target of the KMT2A fusion oncogene. Direct pharmacologic inhibition of DYRK1A decreased cell proliferation of KMT2A-R ALL, thereby confirming the requirement of DYRK1A in this ALL subtype. To further understand the biologic function of DYRK1A in KMT2A-R ALL, we leveraged pharmacologic DYRK1A inhibitors in KMT2A-R PDX and cell line models. DYRK1A inhibition consistently led to upregulation of MYC protein levels, and hyperphosphorylation of ERK, which we confirmed via in vivo treatment experiments. Furthermore, DYRK1A inhibition decreased ALL burden in mice. Our results further demonstrate that DYRK1A inhibition induces the proapoptotic factor BIM, but ERK hyperphosphorylation is the driving event that induces cell cycle arrest. In contrast, combined treatment of KMT2A-R ALL cells in vitro and in vivo with DYRK1A inhibitors and the BCL2 inhibitor, venetoclax, synergistically decreases cell survival and reduced the leukemic burden in mice. Taken together these results demonstrate a unique function of DYRK1A specially in KMT2A-R ALL. Synergistic inhibition of DRYK1A and BCL2 may provide a low-toxic approach to treat this high risk ALL subtype.

cancer biology↗

From motor protein to toxin: Mutations in the zonula occludens toxin (Zot) of Vibrio cholerae phage CTXΦ suggest a loss of phage assembly function

Prophages, i.e. dormant viruses residing in bacterial cells, are not just passive passengers in the bacterial host. Several prophage-encoded genes have been shown to be contributors to bacterial virulence by mediating antimicrobial resistance or by providing toxins. Other prophage genes exhibit beneficial effects on the host by modulating e.g. motility or biofilm formation. In this study, we used an in vivo phage assembly assay and tested an extensive array of single point mutations or their combinations found in Zot, the zonula occludens toxin encoded by the Vibrio cholerae phage CTX{phi}. The assay makes use of the highly homologous Zot-like protein g1p of the filamentous Coliphage M13, a motor protein that mediates the trans-envelope assembly and secretion of filamentous phages. We also measured the in vitro ATP hydrolysis of purified proteins, and quantified virus production in V. cholerae mediated by Zot or the Zot-like protein of the two Vibrio phages CTX{phi} and VFJ{phi}. In addition, we investigated sequence variations of the Walker motifs in Vibrio species using bioinformatics method, and revealed the molecular basis of ATP binding using molecular docking and molecular dynamics simulation based on the structure predicted by AlphaFold2. Our data indicates that g1p proteins in Vibrio can easily accumulate deleterious mutations and likely lose the ability to efficiently hydrolyse ATP, while the CTX{phi} Zot was further exapted to now act as an auxiliary toxin during the infection by Vibrio cholerae.

microbiology↗

Heterologous boost with mRNA vaccines against SARS-CoV-2 Delta/Omicron variants following an inactivated whole-virus vaccine

The coronavirus SARS-CoV-2 has mutated quickly and caused significant global damage. This study characterizes two mRNA vaccines ZSVG-02 (Delta) and ZSVG-02-O (Omicron BA.1), and associating heterologous prime-boost strategy following the prime of a most widely administrated inactivated whole-virus vaccine (BBIBP-CorV). The ZSVG-02-O induces neutralizing antibodies that effectively cross-react with Omicron subvariants following an order of BA.1>BA.2>BA.4/5. In naive animals, ZSVG-02 or ZSVG-02-O induce humoral responses skewed to the vaccines targeting strains, but cellular immune responses cross-react to all variants of concern (VOCs) tested. Following heterologous prime-boost regimes, animals present comparable neutralizing antibody levels and superior protection across all VOCs. Single-boost only generated ancestral and omicron dual-responsive antibodies, probably by "recall" and "reshape" the prime immunity. New Omicron-specific antibody populations, however, appeared only following the second boost with ZSVG-02-O. Overall, our results support a heterologous boost with ZSVG-02-O, providing the best protection against current VOCs in inactivated virus vaccine- primed populations.

molecular biology↗

TSNAdb v2.0: the updated version of tumor-specific neoantigen database

Tumor neoantigens have been well-acknowledged as ideal targets for tumor immunotherapy in recent years. With the deepening of research on neoantigen-based tumor immunotherapy, comprehensive neoantigen databases are urgently needed to meet the growing demand for clinical studies. We have built the Tumor-Specific NeoAntigen Database (TSNAdb v1.0) previously, which has attracted wide attention. In this study, we provide an updated version of the Tumor-Specific NeoAntigen Database (TSNAdb v2.0) with several new features including 1) taking stricter criteria for neoantigen identification. 2) providing predicted neoantigens derived from three types of somatic mutations. 3) collecting experimentally validated neoantigens and classifying them according to the evidence. TSNAdb v2.0 is freely available at https://pgx.zju.edu.cn/tsnadb/.

bioinformatics↗

Mcm2 promotes stem cell differentiation via its ability to bind H3-H4

Mcm2, a subunit of the Mcm2-7 helicase best known for its role in DNA replication, contains a histone binding motif that facilitates the transfer of parental histones following DNA replication. Here we show that Mcm2 is important for the differentiation of mouse embryonic stem (ES) cells. The Mcm2-2A mutation defective in histone binding impairs differentiation and disrupts the programmatic changes in gene expression and histone modifications during differentiation. Mcm2 localizes at transcription starting sites and the binding of Mcm2 at gene promoters is disrupted in both Mcm2-2A ES cells and neuro-precursor cells (NPCs). Reduced Mcm2 binding at bivalent chromatin domains containing repressive H3K27me3 and active H3K4me3 modifications in Mcm2-2A ES cells correlates with decreased chromatin accessibility at corresponding sites in NPCs. Together, our studies reveal a novel function of Mcm2 in ES cell differentiation, likely through manipulating chromatin landscapes at bivalent chromatin domains.

developmental biology↗

Qualification of Identity, Quality-Attribute Monitoring and New Peak Detection in An Improved Multi-Attribute Method with Lys-C Digestion for Characterization and Quality Control of Therapeutic Monoclonal Antibodies

The use of Multi-attribute method (MAM) for identity and purity testing of biopharmaceuticals offers the ability to complement and replace multiple conventional analytical technologies with a single mass spectrometry (MS) method. Method qualification and phase-appropriate validation is one major consideration for the implementation of MAM in a current Good Manufacturing Practice (cGMP) environment. We developed an improved MAM workflow with optimized sample preparation using Lys-C digestion for therapeutic monoclonal antibodies. In this study, we qualified the enhanced MAM workflow for mAb-1 identity, product quality attributes (PQAs) monitoring and new peak detection (NPD). The qualification results demonstrated the full potential of the MAM for its intended use in mAb-1 characterization and quality control in regulated labs. To the best of our knowledge, this is the first report of MAM qualification for mAb identity, PQA monitoring, and new peak detection (NPD) in a single assay, featuring 1) the first full qualification of MAM using Lys-C digestion without desalting using a high-resolution MS, 2) a new approach for mAb identity testing using MAM, and 3) the first qualification of NPD for MAM. The developed MAM workflow and the approaches for MAM qualification may serve as a reference for other labs in the industry.

biochemistry↗

Estimating the overall fraction of phenotypic variance attributed to high-dimensional predictors measured with error

In prospective genomic studies (e.g., DNA methylation, metagenomics, and transcriptomics), it is crucial to estimate the overall fraction of phenotypic variance (OFPV) attributed to the high-dimensional genomic variables, a concept similar to heritability analyses in genome-wide association studies (GWAS). Unlike genetic variants in GWAS, these genomic variables are typically measured with error due to technical limitation and temporal instability. While the existing methods developed for GWAS can be used, ignoring measurement error may severely underestimate OFPV and mislead the design of future studies. Assuming that measurement error variances are distributed similarly between causal and noncausal variables, we show that the asymptotic attenuation factor equals to the average intraclass correlation coefficients of all genomic variables, which can be estimated based on a pilot study with repeated measurements. We illustrate the method by estimating the contribution of microbiome taxa to body mass index and multiple allergy traits in the American Gut Project. Finally, we show that measurement error does not cause meaningful bias when estimating the correlation of effect sizes for two traits.

genetics↗

GR13-type plasmids in Acinetobacter potentiate the accumulation and horizontal transfer of diverse accessory genes

Carbapenem resistance and other antibiotic resistance genes (ARGs) can be found in plasmids in Acinetobacter, but many plasmid types in this genus have not been well-characterised. Here we describe the distribution, diversity and evolutionary capacity of rep group 13 (GR13) plasmids that are found in Acinetobacter species from diverse environments. Our investigation was prompted by the discovery of two GR13 plasmids in A. baumannii isolated in an intensive care unit (ICU). The plasmids harbour distinct accessory genes: pDETAB5 contains blaNDM-1 and genes that confer resistance to four further antibiotic classes, while pDETAB13 carries putative alcohol tolerance determinants. Both plasmids contain multiple dif modules, which are flanked by pdif sites recognised by XerC/XerD tyrosine recombinases. The ARG-containing dif modules in pDETAB5 are almost identical to those found in pDETAB2, a GR34 plasmid from an unrelated A. baumannii isolated in the same ICU a month prior. Examination of a further 41 complete, publicly available plasmid sequences revealed that the GR13 pangenome consists of just four core but 1086 accessory genes, 123 in the shell and 1063 in the cloud, reflecting substantial capacity for diversification. The GR13 core genome includes genes for replication and partitioning, and for a putative tyrosine recombinase. Accessory segments encode proteins with diverse putative functions, including for metabolism, antibiotic/heavy metal/alcohol tolerance, restriction-modification, an anti-phage system and multiple toxin-antitoxin systems. The movement of dif modules and actions of insertion sequences play an important role in generating diversity in GR13 plasmids. Discrete GR13 plasmid lineages are internationally disseminated and found in multiple Acinetobacter species, which suggests they are important platforms for the accumulation, horizontal transmission and persistence of accessory genes in this genus. Impact statementAcinetobacter species are particularly well-adapted for persistence in hospital environments where they pose a life-threatening infection risk to the most clinically-vulnerable patients. Plasmids with the potential to transfer multiple antibiotic resistance determinants between Acinetobacter species are therefore concerning, but most are not well-characterised. This work sheds further light on the poorly-understood mobile gene pool associated with Acinetobacter. We show here that GR13 plasmids carry a small set of core genes but have access to a highly diverse set of accessory segments that might provide fitness advantages under certain conditions. The complex evolutionary dynamics of GR13 plasmids appear to be driven by the exchange of dif modules and by the actions of a diverse population of insertion sequences. The novel dif modules characterised here emphasise the broader importance of these elements to the dissemination of accessory genes in Acinetobacter. This study has improved our understanding of the diversity and distribution of dif modules, plasmids that carry them, and how both disseminate in the continuum of Acinetobacter populations that link hospitals and the wider environment.

microbiology↗

Evaluation of the anti-tumor activities of Sulfonylurea Derivatives

This study prepared 25 sulfonylurea compounds to evaluate anti-tumor activity. Through experimental investigations in MDA-MB-231 and MCF-7, i.e., cell lines of breast carcinoma of human, we have concluded that some compounds can significantly suppress breast carcinoma cells from growing and proliferating. Moreover, the compound Ms inhibitory effect on cells of breast carcinoma is concentration-dependent under a certain treatment time; and the inhibitory effect of the compound M on breast carcinoma cells is time-dependent under a certain concentration. In addition, we also found that the compound M can effectively suppress cells of breast carcinoma from migration and independent survival. The results can show the prospect of research and development of new breast carcinoma treatment drug.

biochemistry↗

Kernel-based genetic association analysis for microbiome phenotypes identifies host genetic drivers of beta-diversity

Understanding human genetic influences on the gut microbiota helps elucidate the mechanisms by which genetics affects health outcomes. We propose a novel approach, the covariate-adjusted kernel RV (KRV) framework, to map genetic variants associated with microbiome beta-diversity, which focuses on overall shifts in the microbiota. The proposed KRV framework improves statistical power by capturing intrinsic structure within the genetic and microbiome data while reducing the multiple-testing burden. We apply the covariate-adjusted KRV test to the Hispanic Community Health Study/Study of Latinos in a genome-wide association analysis (first gene-level, then variant-level) for microbiome beta-diversity. We have identified an immunity-related gene, IL23R, reported in previous association studies and discovered 3 other novel genes, 2 of which are involved in immune functions or autoimmune disorders. Our findings highlight the value of the KRV as a powerful microbiome GWAS approach and support an important role of immunity-related genes in shaping the gut microbiome composition.

genomics↗

Phage Resistance Mechanisms Increase Colistin Sensitivity in Acinetobacter baumannii

Few emergency-use antibiotics remain for the treatment of multidrug-resistant bacterial infections. Infections with resistant bacteria are becoming increasingly common. Phage therapy has reemerged as a promising strategy to treat such infections, as microbial viruses are not affected by bacterial resistance to antimicrobial compounds. However, phage therapy is impeded by rapid emergence of phage-resistant bacteria during therapy. In this work, we studied phage-resistance of colistin sensitive and resistant A. baumannii strains. Using whole genome sequencing, we determined that phage resistant strains displayed mutations in genes that alter the architecture of the bacterial envelope. In contrast to previous studies where phage-escape mutants showed decreased binding of phages to the bacterial envelope, we obtained several not uninfectable isolates that allowed similar phage adsorption compared to the susceptible strain. When phage-resistant bacteria emerged in the absence of antibiotics, we observed that the colistin resistance levels often decreased, while the antibiotic resistance mechanism per se remained unaltered. In particular the two mutated genes that conveyed phage resistance, a putative amylovoran-biosynthesis and a lipo-oligosaccharide (LOS) biosynthesis gene, impact colistin resistance as the mutations increased sensitivity to the antibiotic.

microbiology↗

Protracted speciation under the state-dependent speciation and extinction approach

How long does speciation take? What are the speciation processes that generated a species group? The answers to these important questions in evolutionary biology lie in the genetic difference not only among species, but also among lineages within each species. With the advance of genome sequencing in non-model organisms and the statistical tools to improve accuracy in inferring evolutionary histories among recently diverged lineages, we now have the lineage-level trees to answer these questions. However, we do not yet have an analytical tool for inferring speciation processes from these trees. What is needed is a model of speciation processes that generates both the trees and species identities of extant lineages. The model should allow calculation of the probability that certain lineages belong to certain species and have an evolutionary history consistent with the tree. Here we propose such a model and test the model performance on both simulated data and real data. We show that maximum likelihood estimates of the model are highly accurate and give estimates from real data that generate patterns consistent with observations. We discuss how to extend the model to account for different rates and types of speciation processes across lineages in a species group. By linking evolutionary processes on lineage level to species level, the model provides a new phylogenetic approach to study not just when speciation happened, but how speciation happened.

evolutionary biology↗

Investigating the reliability of molecular estimates of evolutionary time when substitution rates and speciation rates vary

BackgroundAn accurate timescale of evolutionary history is essential to testing hypotheses about the influence of historical events and processes, and the timescale for evolution is increasingly derived from analysis of DNA sequences. But variation in the rate of molecular evolution complicates the inference of time from DNA. Evidence is growing for numerous factors, such as life history and habitat, that are linked both to the molecular processes of mutation and fixation and to rates of macroevolutionary diversification. However, the most widely used methods rely on idealised models of rate variation, such as the uncorrelated and autocorrelated clocks, and molecular dating methods are rarely tested against complex models of rate change. One relationship that is not accounted for in molecular dating is the potential for interaction between molecular substitution rates and speciation, a relationship that has been supported by empirical studies in a growing number of taxa. If these relationships are as widespread as current evidence suggests, they may have a significant influence on molecular dates. ResultsWe simulate phylogenies and molecular sequences under three different realistic rate variation models - one in which speciation rates and substitution rates both vary but are unlinked, one in which they covary continuously and one punctuated model in which molecular change is concentrated in speciation events, using empirical case studies to parameterise realistic simulations. We test three commonly used "relaxed clock" molecular dating methods against these realistic simulations to explore the degree of error in molecular dates under each model. We find average divergence time inference errors ranging from 12% of node age for the unlinked model when reconstructed under an uncorrelated rate prior using BEAST 2, to up to 91% when sequences evolved under the punctuated model are reconstructed under an autocorrelated prior using PAML. ConclusionsWe demonstrate the potential for substantial errors in molecular dates when both speciation rates and substitution rates vary between lineages. This study highlights the need for tests of molecular dating methods against realistic models of rate variation generated from empirical parameters and known relationships.

evolutionary biology↗