Biology subjects

Huang, R.

Publications and source records attributed to Huang, R..

At least 91 records · Page 5Linked to original sources

bioRxiv2023

Local CpG-Stat3 siRNA treatment improves antitumor effects of checkpoint inhibitors

Immune checkpoint blockade (ICB) therapy has significantly benefited patients with several types of solid tumors and some lymphomas. However, many of the treated patients do not have durable clinical response. It has been demonstrated that rescuing exhausted CD8+ T cells is required for ICB-mediated antitumor effects. We recently developed an immunostimulatory strategy based on silencing STAT3 while stimulating immune responses by CpG, ligand for Toll-like receptor 9 (TLR9). The CpG-small interfering RNA (siRNA) conjugates efficiently enter immune cells, silencing STAT3 and activating innate immunity to enhance T-cell mediated antitumor immune responses. In the present study, we demonstrate that blocking STAT3 through locally delivered CpG-Stat3 siRNA enhances the efficacies of the systemic PD-1 and CTLA4 blockade against mouse A20 B cell lymphoma. In addition, locally delivered CpG-Stat3 siRNA combined with systemic administration of PD-1 antibody significantly augmented both local and systemic antitumor effects against mouse B16 melanoma tumors, with enhanced tumor-associated T cell activation. Overall, our studies in both B cell lymphoma and melanoma mouse models demonstrate the potential of combinatory immunotherapy with CpG-Stat3 siRNA and checkpoint inhibitors as a therapeutic strategy for B cell lymphoma and melanoma.

immunology↗

bioRxiv2023

osl-dynamics: A toolbox for modelling fast dynamic brain activity

Neural activity contains rich spatio-temporal structure that corresponds to cognition. This includes oscillatory bursting and dynamic activity that span across networks of brain regions, all of which can occur on timescales of a tens of milliseconds. While these processes can be accessed through brain recordings and imaging, modelling them presents methodological challenges due to their fast and transient nature. Furthermore, the exact timing and duration of interesting cognitive events is often a priori unknown. Here we present the OHBA Software Library Dynamics Toolbox (osl-dynamics), a Python-based package that can identify and describe recurrent dynamics in functional neuroimaging data on timescales as fast as tens of milliseconds. At its core are machine learning generative models that are able to adapt to the data and learn the timing, as well as the spatial and spectral characteristics, of brain activity with few assumptions. osl-dynamics incorporates state-of-the-art approaches that can be, and have been, used to elucidate brain dynamics in a wide range of data types, including magneto/electroencephalography, functional magnetic resonance imaging, invasive local field potential recordings and electrocorticography. It also provides novel summary measures of brain dynamics that can be used to inform our understanding of cognition, behaviour and disease. We hope osl-dynamics will further our understanding of brain function, through its ability to enhance the modelling of fast dynamic processes. HighlightsO_LIAn open-source toolbox for identifying and describing brain dynamics in neuroimaging data on fast timescales. C_LIO_LIIncludes visualisation and quantification of oscillatory bursting and network dynamics. C_LIO_LIProvides novel summary measures and group analysis tools of brain dynamics that can be used to inform our understanding of cognition, behaviour and disease. C_LIO_LIImplemented in Python and makes use of TensorFlow. C_LIO_LIIncludes comprehensive documentation and tutorials. C_LI

neuroscience↗

bioRxiv2023

FLECS Technology for High-Throughput Screening of Hypercontractile Cellular Phenotypes in Fibrosis: A Function-First Approach to Anti-Fibrotic Drug Discovery

The pivotal role of myofibroblast contractility in the pathophysiology of fibrosis is widely recognized, yet HTS approaches are not available to quantify this critically important function in drug discovery. We develop, validate, and scale-up a HTS platform that quantifies contractile function of primary human lung myofibroblasts upon treatment with pro-fibrotic TGF-{beta}1. With the fully automated assay we screened a library of 40,000 novel small molecules in under 80 h of total assay run-time. We identified 42 hit compounds that inhibited the TGF-{beta}1-induced contractile phenotype of myofibroblasts, and enriched for 19 that specifically target myofibroblasts but not phenotypically related smooth muscle cells. Selected hits were validated in an ex vivo lung tissue models for their inhibitory effects on fibrotic gene upregulation by TGF-{beta}1. Our results demonstrate that integrating a functional contraction test into the drug screening process is key to identify compounds with targeted and diverse activity as potential anti-fibrotic agents.

bioengineering↗

bioRxiv2023

Exploring NCATS In-House Biomedical Data for Evidence-based Drug Repurposing

AbstractDrug repurposing is a strategy for identifying new uses of approved or investigational drugs that are outside the scope of the original medical indication. Even though many repurposed drugs have been found serendipitously in the past, the increasing availability of large volumes of biomedical data has enabled more systemic, data-driven approaches for drug candidate identification. At National Center of Advancing Translational Sciences (NCATS), we invent new methods to generate new data and information publicly available to spur innovation and scientific discovery. In this study, we aimed to explore and demonstrate biomedical data generated and collected via two NCATS research programs, the Toxicology in the 21st Century program (Tox21) and the Biomedical Data Translator (Translator) for the application of drug repurposing. These two programs provide complementary types of biomedical data from uncovering underlying biological mechanisms with bioassay screening data from Tox21 for chemical clustering, to enrich clustered chemicals with scientific evidence mined from the Translator towards drug repurposing. 129 chemical clusters have been generated and three of them have been further investigated for drug repurposing candidate identification, which is detailed as case studies.

bioinformatics↗

bioRxiv2023

Dynamics of cell type transition mediated by epigenetic modifications

Maintaining tissue homeostasis requires appropriate regulation of stem cell differentiation. The Waddington landscape posits that gene circuits in a cell form a potential landscape of different cell types, wherein cells follow attractors of the probability landscape to develop into distinct cell types. However, how adult stem cells achieve a delicate balance between self-renewal and differentiation remains unclear. We propose that random inheritance of epigenetic states plays a pivotal role in stem cell differentiation and present a hybrid model of stem cell differentiation induced by epigenetic modifications. Our comprehensive model integrates gene regulation networks, epigenetic state inheritance, and cell regeneration, encompassing multi-scale dynamics ranging from transcription regulation to cell population. Through model simulations, we demonstrate that random inheritance of epigenetic states during cell divisions can spontaneously induce cell differentiation, dedifferentiation, and transdifferentiation. Further-more, we investigate the influences of interfering with epigenetic modifications and introducing additional transcription factors on the probabilities of dedifferentiation and transdifferentiation, revealing the underlying mechanism of cell reprogramming. This in silico model provides valuable insights into the intricate mechanism governing stem cell differentiation and cell reprogramming and offers a promising path to enhance the field of regenerative medicine.

systems biology↗

bioRxiv2023

Structure-function Analyses Reveal Key Molecular Determinants of HIV-1 CRF01_AE Resistance to the Entry Inhibitor Temsavir

The HIV-1 entry inhibitor temsavir prevents CD4 from interacting with the envelope glycoprotein (Env) and blocks its conformational changes. To do this temsavir relies on the presence of a residue with small side chain at position 375 in Env and is unable to neutralize viral strains like CRF01_AE carrying His375. Here we investigate the mechanism of temsavir-resistance and show that residue 375 is not the sole determinant of resistance. At least six additional residues within the gp120 inner domain layers, including five distant from the drug-binding pocket, contribute to resistance. A detailed structure-function analysis using engineered viruses and soluble trimer variants reveal that the molecular basis of resistance is mediated by crosstalk between His375 and the inner domain layers. Furthermore, our data confirm that temsavir can adjust its binding mode to accommodate changes in Env conformation, a property that likely contributes to its broad-antiviral activity.

molecular biology↗

bioRxiv2023

XClone: detection of allele-specific subclonal copy number variations from single-cell transcriptomic data

Somatic copy number alterations (CNAs) are major mutations that contribute to the development and progression of various cancers. Despite a few computational methods proposed to detect CNAs from single-cell transcriptomic data, the technical sparsity of such data makes it challenging to identify allele-specific CNAs, particularly in complex clonal structures. In this study, we present a statistical method, XClone, that strengthens the signals of read depth and allelic imbalance by effective smoothing on cell neighborhood and gene coordinate graphs to detect haplotype-aware CNAs from scRNA-seq data. By applying XClone to multiple datasets with challenging compositions, we demonstrated its ability to robustly detect different types of allele-specific CNAs and potentially indicate whole genome duplication, therefore enabling the discovery of corresponding subclones and the dissection of their phenotypic impacts.

bioinformatics↗

bioRxiv2023

Exposure to high-sugar diet induces transgenerational changes in sweet sensitivity and feeding behavior via H3K27me3 reprogramming

Human health is facing a host of new threats linked to unbalanced diets, including high sugar diet (HSD), which contributes to the development of both metabolic and behavioral disorders. Studies have shown that diet-induced metabolic dysfunctions can transmit to multiple generations of offspring and exert long-lasting health burden. Meanwhile, whether and how diet-induced behavioral abnormalities can be transmitted to the offspring remain largely unclear. Here, we showed that ancestral HSD exposure suppressed sweet sensitivity and feeding behavior in the offspring in Drosophila. These behavioral deficits were transmitted through the maternal germline and companied by the enhancement of H3K27me3 modifications. PCL-PRC2 complex, a major driver of H3K27 trimethylation, was upregulated by ancestral HSD exposure, and disrupting its activity eliminated the transgenerational inheritance of sweet sensitivity and feeding behavior deficits. Elevated H3K27me3 inhibited the expression of a transcriptional factor Cad and suppressed sweet sensitivity of the sweet-sensing gustatory neurons, reshaping the sweet perception and feeding behavior of the offspring. Taken together, we uncovered a novel molecular mechanism underlying behavioral abnormalities across multiple generations of offspring upon ancestral HSD exposure, which would contribute to the further understanding of long-term health risk of unbalanced diet.

neuroscience↗

bioRxiv2022

Self-regulation of PIN1-driven auxin transport by cell surface-based auxin signaling in Arabidopsis

PIN-FORMED (PIN)-driven auxin transport contributes to establishing and maintaining a dynamic auxin concentration gradient alongside plant tissues, which drives the majority of developmental processes in plants. To maintain developmental plasticity in ever-changing environments, plants have evolved self-organizing feedback machinery between auxin signaling and its transport, which has been shown to play essential roles in many fundamental plant processes. However, the molecular mechanism behind this mutual regulation has not yet been clarified. Here, we identified a cell surface-triggered auxin signaling that regulates the PIN1-mediated auxin efflux and further developmental patterning in Arabidopsis. Auxin was able to stimulate PIN1 phosphorylation in plants through transmembrane kinases (TMKs), key components in auxin signaling, at the plasma membrane. TMK1 and TMK4 directly interacted with and phosphorylated PIN1 and functioned redundantly in the regulation of PIN1 polarity in plant cells. The phosphorylation sites in PIN1 proteins, targeted by both auxin and TMKs, were required for PIN1 trafficking and polarity, which further controlled auxin responses and downstream developmental patterning in Arabidopsis. Therefore, our findings provide a direct mechanism for the self-regulation between auxin signaling and transport that drives the auxin flows and proper development in plants.

plant biology↗

bioRxiv2022

ABLs and TMKs are co-receptors for extracellular auxin

Extracellular perception of auxin, an essential phytohormone in plants, has been debated for decades. Auxin binding protein 1 (ABP1) physically interacts with quintessential transmembrane kinases (TMKs) and was proposed to act as an extracellular auxin receptor, but its role was disputed because abp1 knockout mutants lack obvious morphological phenotypes. Here we identified two new auxin-binding proteins, ABL1 and ABL2, that are localized to the apoplast and directly interact with the extracellular domain of TMKs in an auxin-dependent manner. Furthermore, functionally redundant ABL1 and ABL2 genetically interact with TMKs and exhibit functions that are overlapping with those of ABP1 as well as independent of ABP1. Importantly, the extracellular domain of TMK1 itself binds auxin and synergizes with either ABP1 or ABL1 in auxin binding. Thus, our findings discovered new auxin receptors ABL1 and ABL2 having functions overlapping with but distinct from ABP1 and acting together with TMKs as co-receptors for extracellular auxin.

plant biology↗

bioRxiv2022

Naturally occurring Alzheimer's disease in rhesus monkeys

Alzheimers disease (AD) is the most common neurodegenerative disease. To date, its cause is unclear and there are no effective treatments or preventive measures. Despite there are accumulating evidences for the existence of AD pathological hallmarks in the brain of aging rhesus monkeys, it remains a mainstream notion that monkeys do not develop AD naturally. This is an important issue because it will determine how we use monkeys in AD studies. To settle down this issue, a group (n=10) of aged rhesus monkeys 26 years old or above went through a systematic AD screening procedure in this study. Three of these monkeys showed severe memory impairments (SMI) after evaluated with a classic working memory test. Further behavioral testing revealed that the SMI monkeys also exhibited apathy-like behavior, which is another core AD clinical symptom. In addition to the cognitive deficits, two of the three SMI monkeys developed all of the three AD pathological hallmarks, including neurofibrillary tangles, senile plaques and neuronal loss. According to the diagnostic criteria of human AD, the two SMI monkeys were clearly naturally occurring AD monkeys. These results suggest that AD is not a uniquely human disease and monkeys have great potential for the development of much needed etiological AD models, which are vital for better understanding of developmental process of AD and the base of identification of early diagnostic biomarkers and effective therapeutic targets of AD.

neuroscience↗

bioRxiv2022

EVMP: Enhancing machine learning models for synthetic promoter strength prediction by Extended Vision Mutant Priority framework

MotivationIn metabolic engineering and synthetic biology applications, promoters with appropriate strengths are critical. However, it is time-consuming and laborious to annotate promoter strength by experiments. Nowadays many machine learning (ML) methods are applied to synthetic promoter strength prediction, but existing models are limited by the excessive proximity between synthetic promoters. ResultsIn order to enhance ML models to better predict the synthetic promoter strength, we propose EVMP(Extended Vision Mutant Priority), a universal framework which utilize mutation information more effectively. In EVMP, synthetic promoters are equivalently transformed into base promoter and corresponding k-mer mutations, which are input into BaseEncoder and VarEncoder respectively. In Trc synthetic promoter library, EVMP was applied to multiple ML models and the model effect was enhanced to varying extents, up to 61.30%, while the SOTA(state-of-the-art) record was improved by 15.25%. EVMP also provides optional data augmentation based on multiple base promoters, which further improved the model performance by 17.95% compared with non-EVMP SOTA record. In further study, extended vision is shown to be essential for EVMP. We also found that EVMP can alleviate the over-smoothing phenomenon, which may contributes to its effectiveness. Our work suggests that EVMP can highlight the mutation information of synthetic promoters and significantly improve the prediction accuracy of strength. Availability and implementationThe source code is publicly available on github: https://github.com/Tiny-Snow/EVMP. Contacthuangrr@sdu.edu.cn Supplementary informationAppendix is available at bioRxiv online.

bioinformatics↗

bioRxiv2022

Dysregulation of Acid Ceramidase-mediated Sphingolipid Metabolism Contributes to Tumor Progression in Tuberous Sclerosis Complex

Tuberous Sclerosis Complex (TSC) is disorder of multi-system benign neoplasia in the brain, heart, kidneys and lungs. Lymphangioleiomyomatosis (LAM) is a progressive pulmonary disease affecting exclusively women. Both are caused by mutations in TSC1 and TSC2, resulting in mTORC1 hyperactivation. Single cell RNA sequencing of LAM lungs identified activation of genes in the sphingolipid pathway. Independent validation studies showed that acid ceramidase (ASAH1) and dihydroceramide desaturase (DEGS1), key enzyme for regulating sphingolipid and ceramide metabolism, were significantly increased in TSC2-null cells, and their expression and activity were rapamycin-insensitive. TSC2 negatively regulated the biosynthesis of tumorigenic sphingolipids. Suppression of ASAH1 by shRNA or the inhibitor ARN14976 (17a) markedly decreased the viability of TSC2-null cells. In vivo, 17a significantly decreased the growth of Tsc2-null cell derived mouse xenografts. When combined with rapamycin, 17a more strongly inhibited the progression of renal cystadenomas in Tsc2+/- mice than either agent alone, evaluated by pathology and MRI. Collectively, our studies identify a rapamycin-insensitive disorder of sphingolipid metabolism in TSC2-null cells and tumors and validate the novel hypothesis that TSC2 regulates sphingolipid production and action via ASAH1. Targeting aberrant sphingolipid metabolism pathways may have therapeutic value in TSC and LAM, and possibly in mTORC1-hyperactive neoplasms.

cell biology↗

bioRxiv2022

Quantitative bioactivity signatures of dietary supplements and natural products

Dietary Supplements and Natural Products have minor oversight of their safety and efficacy. We assembled a collection of Dietary Supplements and Natural Products (DSNP) as well as Traditional Chinese Medicinal (TCM) Plant extracts, which were screened against an in vitro panel of assays, including a liver cytochrome p450 enzyme panel, CAR/PXR signaling pathways, and P-gp transporter assays, to assess their activity. This pipeline facilitated the interrogation of Natural Product-Drug Interaction (NaPDI) through prominent metabolizing pathways. In addition, we compared the activity profiles of the DSNP/TCM substances with those of an approved drug collection. Many of the approved drugs have well-annotated mechanisms of action (MOA) while the MOAs for most of the DSNP and TCM samples remain unknown. Based on the premise that compounds with similar activity profiles tend to share similar targets or MOA, we clustered the library activity profiles to identify overlap with the NCATS Pharmaceutical Collection to predict the MOAs of the DSNP/TCM substances. Overall, we highlight four significant bioactivity profiles (measured by p-values) as examples of this prediction. These results can be used as a starting point for further exploration on the toxicity potential and clinical relevance of these substances.

pharmacology and toxicology↗

bioRxiv2022

In vivo quantitative high-throughput screening for drug discovery and comparative toxicology

Quantitative high-throughput screening (qHTS) evaluates the pharmacology of drug and investigational agent libraries for potential therapeutic uses, toxicological risk assessment, and increasingly for academic chemical tool discovery. Phenotypic HTS assays aim to interrogate molecular pathways and networks, often relying on cell culture systems, historically with less emphasis on multicellular organisms. C. elegans has served as a powerful eukaryotic model organism for human biology and disease by virtue of genetic conservation and experimental tractability. Here we describe a paradigm to enable C. elegans in qHTS using 384-well microtiter plate laser scanning cytometry. GFP-expressing organisms are used to reveal phenotype-modifying structure-activity relationships to guide subsequent life stages and proteomic analysis. E. coli bacterial ghosts, a non-replicating nutrient source, allow compound exposures over 7-days spanning two life cycles to mitigate complications from bacterial overgrowth. We demonstrate the method with a library composed of anti-infective agents, or molecules of general toxicological concern. Each was tested in 7-point titration to assess the feasibility of nematode-based in vivo qHTS, and examples of follow-up strategies were provided to study organism-based chemotype selectivity and subsequent network perturbations having a physiological impact. We anticipate a broader application of this qHTS-coupled proteomics approach will enable the analysis of C. elegans orthologous transgenic phenotypes of human pathologies to facilitate drug and probe profiling from high-impact chemical libraries for a range of therapeutic indications and study of potential toxicological signatures. Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=159 SRC="FIGDIR/small/505462v1_ufig1.gif" ALT="Figure 1"> View larger version (52K): org.highwire.dtl.DTLVardef@7ef320org.highwire.dtl.DTLVardef@8bc35corg.highwire.dtl.DTLVardef@1c6f446org.highwire.dtl.DTLVardef@cf56f1_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

bioRxiv2022

Cancer Cells in all EMT States Lack Rigidity Sensing Depletion of Different Tumor Suppressors Causes Loss of Rigidity Sensing in Cancer Cells

Cancer cells have many different behaviors from epithelial to mesenchymal forms. We report here that 36 distinct tumor cell lines regardless of EMT form or other features lack the ability to sense rigidity and will grow on soft surfaces. In the majority of lines, cells were missing at least one protein needed for rigidity sensing (primarily tropomyosin2.1 (Tpm2.1) but also PTPN12, FilaminA (FLNA), and myosinIIA) while all had high levels of Tpm3. In the few cases where the major rigidity sensing components were present, those tumor cells were not able to sense rigidity. Thus, we suggest that tumor cells can lose the ability to sense rigidity by many different means and that the loss of rigidity sensing is sufficient to cause the transformed phenotype that enables targeted treatments.

cancer biology↗

bioRxiv2022

A toxin-mediated policing system in Bacillus improves population fitness via penalizing non-cooperating phenotypic cheaters

Microbial cooperation is vulnerable to exploitation by social cheaters. Although the strategies for controlling genotypic cheaters have been well investigated, the mechanism and significance of preventing phenotypic cheating remain largely unknown. Here, we revealed the molecular mechanism and ecological significance of a policing system for punishing phenotypic cheaters in the community of a plant beneficial strain Bacillus velezensis SQR9. Coordinated activation of extracellular matrix (ECM) production and autotoxin bacillunoic acids (BAs) biosynthesis/self-immunity, punished public goods-nonproducing cheaters in strain SQR9s community. Spo0A was identified to be the co-regulator for triggering both ECM production and BAs synthesis/immunity, which activates acetyl-CoA carboxylase (ACC) to produce malonyl-CoA, an essential precursor for BAs biosynthesis, thereby stimulating BAs production and self-immunity. Elimination of phenotypic cheaters by this policing system, significantly enhanced population fitness under different stress conditions and in plant rhizosphere. This study provides insights into our understanding of maintenance and evolution of microbial cooperation.

microbiology↗

bioRxiv2022

Coupled organoids reveal that signaling gradients drive traveling segmentation clock waves during human axial morphogenesis

Axial development of mammals is a dynamic process involving several coordinated morphogenetic events including axial elongation, somitogenesis, and neural tube formation. How different signals control the dynamics of human axial morphogenesis remains largely unknown. By inducing anteroposterior symmetry breaking of spatially coupled epithelial cysts derived from human pluripotent stem cells, we were able to generate hundreds of axially elongating organoids. Each organoid was composed of a neural tube flanked by presomitic mesoderm that was sequentially segmented into somites. Periodic activation of the somite differentiation gene MESP2 coincided in space and time with anteriorly traveling segmentation clock waves in the presomitic mesoderm of the organoids, recapitulating key aspects of somitogenesis. Through timed perturbations of organoids, we demonstrated that FGF and WNT signaling play distinct roles in axial elongation and somitogenesis, and that the segmentation clock waves are driven by FGF signaling gradients. By generating and perturbing organoids that robustly recapitulate the architecture and dynamics of multiple axial tissues in human embryos, this work offers a means to dissect complex mechanisms underlying human embryogenesis.

developmental biology↗