Biology subjects

Dong, R.

Publications and source records attributed to Dong, R..

At least 37 records · Page 2Linked to original sources

bioRxiv2024

Dynamic Localization of Leukemia Stem Cells via CXCL12 Regulates Leukemia Progression

The processes that govern leukemia progression and remission are poorly understood. Our research reveals that the CXCL12 gradient, traditionally associated with LSC quiescence and survival, critically determines LSC localization and associated behavior. Specifically, CXCL12 guides LSCs to either the quiescent niche in the metaphysis, characterized by N-cadherin-expressing mesenchymal stromal cells (N-cad+ MSCs), or the proliferative niche in the central marrow (CM), marked by sinusoidal endothelial cells and associated stromal cells. We identified that the CXCL12 gradient is finely regulated by the interplay between dipeptidyl peptidase 4 (DPP4) on LSCs and glypican-3 (GPC3) on N-cad+ MSCs. DPP4 deactivates CXCL12, while GPC3 inhibits DPP4, resulting in a higher CXCL12 concentration in the metaphysis and a lower concentration in the CM. This differential gradient facilitates leukemia progression by promoting LSC quiescence and survival in the metaphysis versus relative proliferation and apoptosis in the CM. Depletion of Dpp4 from LSCs or Cxcl12 from N-cad+ MSCs disrupts this gradient, mobilizing LSCs from the metaphysis to the CM and significantly hindering leukemia development. Our findings redefine the role of CXCL12 in LSC behavior and provide a clearer understanding of leukemia progression. This novel insight highlights the potential for targeted therapeutic strategies that disrupt the CXCL12 gradient to treat minimal residual LSCs, offering a promising path toward a lasting cure for acute myeloid leukemia (AML).

cancer biology↗

bioRxiv2024

RNA interactome of hypervirulent Klebsiella pneumoniae reveals a small RNA inhibitor of capsular mucoviscosity and virulence

Hypervirulent Klebsiella pneumoniae (HvKP) is an emerging bacterial pathogen causing invasive infection in immune-competent humans. The hypervirulence is strongly linked to the overproduction of hypermucovisous capsule, but the underlining regulatory mechanism of hypermucoviscosity (HMV) has been elusive, especially at the post-transcriptional level mediated by small noncoding RNAs (sRNAs). Using a recently developed RNA interactome profiling approach, we interrogate the Hfq-associated sRNA regulatory network and establish the intracellular RNA-RNA interactome in HvKP. Our data reveal numerous interactions between sRNAs and HMV-related mRNAs, and identify a plethora of sRNAs that repress or promote HMV. One of the strongest repressors of HMV is ArcZ, which is activated by catabolite regulator CRP and targets many HMV-related genes including mlaA and fbp. We discover that MlaA and its function in phospholipid transport is crucial for capsule retention and HMV, inactivation of which abolished Klebsiella virulence in mice. ArcZ overexpression significantly reduced bacterial burden in mice and reduced HMV in multiple carbapenem-resistant and hypervirulent clinical isolates with diverse genetic background, indicating it is a potent RNA inhibitor of bacterial pneumonia with therapeutic potential. In summary, our work unravels a comprehensive map of the RNA-RNA interaction network of HvKP and identifies a novel CRP-ArcZ-MlaA regulatory circuit of HMV, providing mechanistic insights into the posttranscriptional virulence control in a superbug of global concern. HIGHLIGHTSO_LIGlobal RNA-RNA interactome map in hypervirulent Klebsiella pneumoniae C_LIO_LIHfq and multiple small RNAs regulate capsular hypermucoviscosity C_LIO_LIArcZ targets mlaA that is required for lipid transport, hypermucoviscosity and virulence C_LIO_LICrp is a transcriptional activator of ArcZ governing a new virulence circuit C_LI

microbiology↗

bioRxiv2024

HNF&alpha is a target of the Wnt/beta-catenin pathway and regulates colorectal carcinogenesis

Hepatocyte nuclear factor 4alpha (HNF4) is a transcription factor involved in liver function. Dysregulation of HNF4 leads to hepatocarcinogenesis. However, the role and mechanism of HNF4 in colorectal cancer is still unknown. Here we demonstrate that HNF4 is upregulated in colorectal cancers. and HNF4 upregulation promotes colorectal tumorigenesis. Notably, expression levels of HNF4 are positively correlated with the Wnt/{beta}-catenin signaling pathway in colorectal cancer patients. Further, we showed that HNF4 is transcriptionally activated by Wnt/{beta}-catenin/TCF3 and is at least partially responsible for the oncognesis activity of the Wnt signaling in colorectal cancer. Our findings indicate that HNF4 is a direct target of that Wnt/{beta}-catenin pathway and could play an important role in colorectal carcinogenesis. Author SummaryHere we demonstrate that HNF4 is upregulated in colorectal cancers and HNF4 upregulation promotes colorectal tumorigenesis. Notably, expression level of HNF4 are positively correlated with the Wnt/{beta}-catenin pathway in colorectal cancer patients. Further, we showed that HNF4 is transcriptionally activated by Wnt/{beta}-catenin/TCF3 and is at least partially responsible for the oncognesis activity of the Wnt signaling pathway in colorectal cancer.

cancer biology↗

bioRxiv2024

Exploring the repository of de novo designed bifunctional antimicrobial peptides through deep learning

Antimicrobial peptides (AMPs) are attractive candidates to combat antibiotic resistance for their capability to target bio-membranes and restrict a wide range of pathogens. It is a daunting challenge to discover novel AMPs due to their sparse distributions in a vast peptide universe, especially for peptides that demonstrate potencies for both bacterial membranes and viral envelopes. Here we establish a de novo AMP design framework by bridging a deep generative module and a graph-encoding activity regressor. The generative module learns hidden grammars of AMP features and produces candidates sequentially pass antimicrobial predictor and antiviral classifiers. We discover 16 bifunctional AMPs and experimentally validated their abilities to inhibit a spectrum of pathogens in vitro and in animal models. Notably, P076 is a highly potent bactericide with the minimal inhibitory concentration of 0.21 M against multidrug-resistant A. baumannii, while P002 broadly inhibits five enveloped viruses. Our study provides feasible means to uncover sequences that simultaneously encode antimicrobial and antiviral activities, thus bolstering the function spectra of AMPs to combat a wide range of drug-resistant infections.

microbiology↗

bioRxiv2024

Nodulation Trio in Medicago truncatula: Unveiling the Overlapping Roles of MtLYK2, MtLYK3, and MtLYK2bis

The perception of rhizobial nodulation factors (NF) by plant NF receptors is crucial for mediating legume nodulation. In Medicago truncatula nodulation, a proposed two-receptor model designates MtLYK3 as an entry receptor, while other LYK proteins, with unidentified functions, may serve as signaling receptors. Here, we generated the single, double, and triple mutants for M. truncatula MtLYK2, MtLYK3, and MtLYK2bis using CRISPR/Cas technology and examined their roles in nodulation. Our findings suggest that all three LYKs possess redundant functions in Medicago nodulation, with their distinct contributions attributed to varying transcription patterns.Our findings also suggest that a one-receptor model with multiple specificities that mediates both signaling and entry responses is more suitable in M. truncatula.

plant biology↗

bioRxiv2024

General Capillary Endothelial Cells Undergo Reprogramming into Arterial Endothelial Cells in Pulmonary Hypertension through HIF-2a/Notch4 Pathway

Pulmonary arterial hypertension (PAH) is characterized by a progressive increase of pulmonary vascular resistance and obliterative pulmonary vascular remodeling that result in right heart hypertrophy, failure, and premature death. The underlying mechanisms of loss of distal capillary endothelial cells (ECs) and obliterative vascular lesion formation remain unclear. Our recent single-cell RNA sequencing, spatial transcriptomics analysis, RNASCOPE, and immunostaining analysis showed that arterial ECs accumulation and loss of capillary ECs were evident in human PAH patients and pulmonary hypertension (PH) rodents. Pseudotime trajectory analysis of the single-cell RNA sequencing data suggest that lung capillary ECs transit to arterial ECs during the development of PH. Our study also identified CXCL12 as the marker for arterial ECs in PH. Capillary EC lineage tracing approach using capillary specific-Dre;Tdtomato reporter mice demonstrated that capillary ECs gave rise to arterial ECs during PH development. Genetic deletion of HIF-2a or pharmacological inhibition of Notch4 normalized the arterial programming in PH. In conclusion, our study demonstrates that capillary endothelium transits to arterial endothelium through the HIF-2a-Notch4 pathway during the development of PAH. Thus, targeting arterial EC transition might be a novel approach for treating PAH patients.

physiology↗

bioRxiv2023

The mitochondrial deoxyguanosine kinase is required for female fertility in mice

Mitochondrial homeostasis plays a pivotal role in oocyte maturation and embryonic development. Deoxyguanosine kinase (DGUOK) is a nucleoside kinase that salvages purine nucleoside in the mitochondria and is critical for mitochondrial DNA replication and homeostasis in non-proliferating cells. Dguok loss-of-function mutations and deletions lead to hepatocerebral mitochondrial DNA deletion syndrome. However, its potential role in reproduction remains largely unknown. We found that Dguok knockout results in female infertility. Mechanistically, the deficiency of DGUOK hinders ovarian development and oocyte maturation. Moreover, Dguok deficiency in oocytes caused a significant reduction in mitochondrial DNA and abnormal mitochondrial dynamics, and impaired germinal vesicle breakdown. Only few DGUOK-deficient oocytes were able to extrude the first polar body during in vitro maturation, and these oocytes showed irregular chromosome arrangement and different spindle lengths. In addition, Dguok deficiency elevated reactive oxygen species and accelerated apoptosis in oocytes. Our findings reveal novel physiological roles for the mitochondrial nucleoside salvage pathway in oocyte maturation and implicate that DGUOK is a potential marker for the diagnosis of female infertility.

cell biology↗

bioRxiv2023

VirEvol platform:accurate prediction and visualization of SARS-CoV-2 evolutionary trajectory based on protein language model, structural information and immunological recognition mechanism

Predicting the mutation direction of SARS-CoV-2 using exploratory computational methods presents a challenging, yet prospective, research avenue. However, existing research methods often ignore the effects of protein structure and multi-source viral information on mutation prediction, making it difficult to accurately predict the evolutionary trend of the SARS-CoV-2 S protein receptor-binding domain (RBD). To overcome this limitation, we proposed an interpretable language model combining structural, sequence and immune information. The dual utility of this model lies in its ability to predict SARS-CoV-2s affinity for the ACE2 receptor, and to assess its potential for immune evasion. Additionally, it explores the mutation trend of SARS-CoV-2 via a genetic algorithm-directed evolution. The model exhibits high accuracy in both regards and has displayed promising early warning capabilities, effectively identifying 13 out of 14 high-risk strains, marking a success rate of 93%.". This study provides a novel method for discerning the molecular evolutionary pattern, as well as predicting the evolutionary trend of SARS-CoV-2 which is of great significance for vaccine design and drug development of new coronaviruses. We further developed VirEvol, a unique platform designed to visualize the evolutionary trajectories of novel SARS-CoV-2 strains, thereby facilitating real-time predictive analysis for researchers. The methodologies adopted in this work may inspire new strategies and offer technical support for addressing challenges posed by other highly mutable viruses.

bioinformatics↗

bioRxiv2022

A Biologically Plausible Spiking Neural Network for Decoding Kinematics in the Hippocampus and Premotor Cortex

This work presents a spiking neural network for predicting kinematics from neural data towards accurate and energy-efficient brain machine interface. A brain machine interface is a technological system that interprets neural signals to allow motor impaired patients to control prosthetic devices. Spiking neural networks have the potential to improve brain machine interface technology due to their low power cost and close similarity to biological neural structures. The SNN in this study uses the leaky integrate-and-fire model to simulate the behavior of neurons, and learns using a local learning method that uses surrogate gradient to learn the parameters of the network. The network implements a novel continuous time output encoding scheme that allows for regression-based learning. The SNN is trained and tested offline on neural and kinematic data recorded from the premotor cortex of a primate and the hippocampus of a rat. The model is evaluated by finding the correlation between the predicted kinematic data and true kinematic data, and achieves peak Pearson Correlation Coefficients of 0.77 for the premotor cortex recordings and 0.80 for the hippocampus recordings. The accuracy of the model is benchmarked against a Kalman filter decoder and a LSTM network, as well as a spiking neural network trained with backpropagation to compare the effects of local learning.

bioengineering↗

bioRxiv2022

Depletion of collagen IX alpha2 interferes osteochondral homeostasis of the knee joint which ultimately causing osteoarthritis-like articular cartilage damage

As one of the branched chains of Type IX collagen (Col9), Collagen IX alpha2 (Col92) has been reported to be associated with several orthopedic conditions. To probe the relationship between Col92 and knee osteoarthritis (KOA), we performed a systematic analysis of Col92-deficient (Col9-/-) mice using whole-mount skeletal staining, Micro-CT (CT), biomechanics, histomorphometry, immunohistochemistry (IHC), immunofluorescence (IF) and Enzyme-linked immunosorbent (Elisa). Although whole-mount skeletal staining displayed no difference in bone length and ossification between Col9-/- mice and wild-type (Col92+/+) mice at mid-gestation and adult stages, the knee joint exhibited dramatic discrepancies. Specifically, the subchondral bone (SCB) in the knee joint of Col9-/- mice became sparse and deformed in the early stage, with altered bone morphometric parameters, reduced load-bearing capacity, dysfunctional bone homeostasis (decreased osteogenesis capacity and elevated bone resorption capacity), diminished cartilage proteoglycans and disrupted cartilage extracellular matrix (ECM) anabolism and catabolism compared with the Col92+/+ mice. In the late stage, the cartilage degeneration in Col92-/- mice were particularly pronounced compared to Col92+/+ mice, as evidenced by severe cartilage destruction and a marked reduction in cartilage thickness and area. Overall, Col92 is essential for maintaining osteochondral homeostasis in the knee joint of mice, and the absence of this gene is accompanied by distinct sclerosis of the SCB and a reduction in load-bearing capacity; in the late stage, in the lack of SCB stress inhibition, excessive load is consistently exerted on the cartilage, ultimately leading to osteoarthritic-like articular cartilage damage. Hence, Col92 may serve as a potential candidate biomarker associated with KOA.

physiology↗

bioRxiv2022

Single molecule long-read real-time amplicon-based sequencing of CYP2D6: a proof-of-concept with hybrid haplotypes

CYP2D6 is a widely expressed human xenobiotic metabolizing enzyme, best known for its role in the hepatic phase I cytochrome P450 enzyme system, where it metabolizes [~]20% of medications. It is also expressed in other organs including the brain, where its potential role in physiology and mental health traits and disorders is under further investigation. Owing to the presence of homologous pseudogenes in the CYP2D locus and transposable repeat elements in the intergenic regions, the gene encoding the CYP2D6 enzyme, CYP2D6, is one of the most hypervariable known human genes - with more than 165 core haplotypes. Haplotypes include structural variants, with a subtype of these known as hybrid haplotypes or fusion genes comprising part of CYP2D6 and part of its adjacent pseudogene, CYP2D7. The fusion genes are particularly challenging to identify. High fidelity (HiFi) single molecule real-time (SMRT) long-read sequencing can cover whole CYP2D6 haplotypes in a single continuous sequence, and is therefore ideal for structural variant detection. In addition, it is highly accurate and suitable for novel haplotype identification, which is necessary as new CYP2D6 haplotypes are continuously being discovered, and many more likely remain to be identified in relatively understudied populations such as Indigenous Peoples. The aim of the present work was to develop an efficient and accurate HiFi SMRT amplicon-based method capable of detecting the full range of CYP2D6 haplotypes including fusion genes. We report proof-of-concept for 24 amplicons including three positive controls, aligned to fusion gene haplotypes, with prior cross-validation data. Amplicons with CYP2D7-D6 fusion genes, including positive controls, aligned to the *13 subhaplotypes predicted (*13F, *13A2) with 100% accuracy, with the exception of one that aligned at 99.9%. Alignment of the *68 was 100% and above 99.9% to the CYP2D6*68 partial sequences EU5300606 and JF307779, respectively. The best alignments for the remaining CYP2D6-2D7 fusion genes were [≥]99.7% (to 3 significant figures). Lower percentage alignment for CYP2D6-2D7 fusion genes may reflect imperfect PCR optimization and/or the possibility that we may have haplotypes not yet in public databases. Further work on these is in progress. Moreover, we have adapted this method for non-hybrid haplotypes. This technique could therefore suffice for the characterization of the full range of CYP2D6 haplotypes. The method that we have developed could be extended to other complex loci and to other species in a multiplexed high throughput assay.

genomics↗

bioRxiv2021

svaRetro and svaNUMT: modular packages for annotation of retrotransposed transcripts and nuclear integration of mitochondrial DNA in genome sequencing data

BackgroundThe biological significance of structural variation is now more widely recognized. However, due to the lack of available tools for downstream analysis, including processing and annotating, interpretation of structural variant calls remains a challenge. FindingsHere we present svaRetro and svaNUMT, R packages that provide functions for annotating novel genomic events such as non-reference retro-copied transcripts and nuclear integration of mitochondrial DNA. We evaluate the performance of these packages to detect events using simulations and public benchmarking datasets, and annotate processed transcripts in a public structural variant database. ConclusionssvaRetro and svaNUMT provide efficient, modular tools for downstream identification and annotation of structural variant calls.

bioinformatics↗

bioRxiv2021

Tight nanoscale clustering of Fc gamma-receptors using DNA origami promotes phagocytosis

Macrophages destroy pathogens and diseased cells through Fc{gamma} receptor (Fc{gamma}R)-driven phagocytosis of antibody-opsonized targets. Phagocytosis requires activation of multiple Fc{gamma}Rs, but the mechanism controlling the threshold for response is unclear. We developed a DNA origami-based engulfment system that allows precise nanoscale control of the number and spacing of ligands. When the number of ligands remains constant, reducing ligand spacing from 17.5 nm to 7 nm potently enhances engulfment, primarily by increasing efficiency of the engulfment-initiation process. Tighter ligand clustering increases receptor phosphorylation, as well as proximal downstream signals. Increasing the number of signaling domains recruited to a single ligand-receptor complex was not sufficient to recapitulate this effect, indicating that clustering of multiple receptors is required. Our results suggest that macrophages use information about local ligand densities to make critical engulfment decisions, which has implications for the mechanism of antibody-mediated phagocytosis and the design of immunotherapies.

cell biology↗

bioRxiv2021

Continuous Polony Gels for Tissue Mapping with High Resolution and RNA Capture Efficiency

Current technologies for acquiring spatial transcript information from tissue sections rely on either RNA probes or spatial barcodes. The former methods require a priori knowledge for probeset formulation; the latter have yet to achieve single cell resolution and/or transcript capture efficiencies approaching dissociative, single-cell methods. Here, we describe a novel spatial transcriptome assay called polony (or DNA cluster)-indexed library-sequencing (PIXEL-seq). It improves upon other spatial barcoding methods by employing "continuous" polony oligos arrayed across a customized gel surface. In terms of assay performance, PIXEL-seq attains [≤] 1 {micro}m resolution and captures >1,000 unique molecular identifiers/10x10 {micro}m2. In other words, this global, naive platform achieves subcellular spatial transcriptome mapping while maintaining high transcript capture efficiencies.

genomics↗

bioRxiv2021

DNA origami patterning of synthetic T cell receptors reveals spatial control of the sensitivity and kinetics of signal activation

T cell receptor clustering plays a key role in triggering cell activation, but the relationship between the spatial configuration of clusters and elicitation of downstream intracellular signals remains poorly understood. We developed a DNA-origami-based system that is easily adaptable to other cellular systems and enables rich interrogation of responses to a variety of spatially defined inputs. Using a chimeric antigen receptor (CAR) T cell model system with relevance to cancer therapy, we studied signaling dynamics at single cell resolution. We found that the spatial arrangement of receptors determines the ligand density threshold for triggering and encodes the temporal kinetics of signaling activities. We also showed that signaling sensitivity of a small cluster of high-affinity ligands is enhanced when surrounded by non-stimulating low-affinity ligands. Our results suggest that cells measure spatial arrangements of ligands and translates that information into distinct signaling dynamics, and provide insights into engineering new immunotherapies.

cell biology↗

bioRxiv2021

SpatialDWLS: accurate deconvolution of spatial transcriptomic data

Recent development of spatial transcriptomic technologies has made it possible to systematically characterize cellular heterogeneity while preserving spatial information, which greatly enables the investigation of structural organization of a tissue and its impact on modulating cellular behavior. On the other hand, the technology often does not have sufficient resolution to distinguish neighboring cells which may belong to different cell types, therefore it is difficult to identify cell-type distribution directly from the data. To overcome this challenge, we have developed a computational method, called spatialDWLS, to quantitatively estimate the cell-type composition at each spatial location. We benchmarked the performance of spatialDWLS by comparing with a number of existing deconvolution methods using both real and simulated datasets, and we found that spatialDWLS outperformed the other methods in terms of accuracy and speed. By applying spatialDWLS to analyze a human developmental heart dataset, we observed striking spatial-temporal changes of cell-type composition which becomes increasing spatially coherent during development. As such, spatialDWLS provides a valuable computational tool for faithfully extracting biological information from spatial transcriptomic data.

bioinformatics↗

bioRxiv2021

CSF metabolites associate with CSF tau and improve prediction of Alzheimer's disease status

INTRODUCTIONCerebrospinal fluid (CSF) total tau (t-tau) and phosphorylated tau (p-tau) are biomarkers of Alzheimers disease (AD), yet much is unknown about AD-associated changes in tau metabolism and tau tangle etiology. METHODSWe assessed the variation of t-tau and p-tau explained by 38 previously identified CSF metabolites using linear regression models in middle-age controls from the Wisconsin Alzheimers Disease Research Center, and predicted AD/mild cognitive impairment (MCI) vs. an independent set of older controls using metabolites selected by the least absolute shrinkage and selection operator (LASSO). RESULTSThe 38 CSF metabolites explained 70.3% and 75.7% of the variance in t-tau and p-tau. Of these, 7 LASSO-selected metabolites improved the prediction ability of AD/MCI vs. older controls (AUC score increased from 0.92 to 0.97 and 0.78 to 0.93) compared to the base model. DISCUSSIONThese tau-correlated CSF metabolites increase AD/MCI prediction accuracy and may provide insight into tau tangle etiology.

molecular biology↗

bioRxiv2020

Design of proteins presenting discontinuous functional sites using deep learning

An outstanding challenge in protein design is the design of binders against therapeutically relevant target proteins via scaffolding the discontinuous binding interfaces present in their often large and complex binding partners. There is currently no method for sampling through the almost unlimited number of possible protein structures for those capable of scaffolding a specified discontinuous functional site; instead, current approaches make the sampling problem tractable by restricting search to structures composed of pre-defined secondary structural elements. Such restriction of search has the disadvantage that considerable trial and error can be required to identify architectures capable of scaffolding an arbitrary discontinuous functional site, and only a tiny fraction of possible architectures can be explored. Here we build on recent advances in de novo protein design by deep network hallucination to develop a solution to this problem which eliminates the need to pre-specify the structure of the scaffolding in any way. We use the trRosetta residual neural network, which maps input sequences to predicted inter-residue distances and orientations, to compute a loss function which simultaneously rewards recapitulation of a desired structural motif and the ideality of the surrounding scaffold, and generate diverse structures harboring the desired binding interface by optimizing this loss function by gradient descent. We illustrate the power and versatility of the method by scaffolding binding sites from proteins involved in key signaling pathways with a wide range of secondary structure compositions and geometries. The method should be broadly useful for designing small stable proteins containing complex functional sites.

biochemistry↗