Biology subjects

Yang, F.

Publications and source records attributed to Yang, F..

At least 127 records · Page 7Linked to original sources

bioRxiv2024

Intestinal microbiome dysbiosis increases Mycobacteria pulmonary colonization in mice by regulating the Nos2-associated pathways

AbstractIncreasing researches reveal gut microbiota was associated with the development of tuberculosis. How to prevent or reduce Mycobacterium tuberculosis colonization in the lungs is a key measure to prevent tuberculosis. However, the data on gut microbiota preventing Mycobacterium colonization in the lungs were scarce. Here, we established the clindamycin-inducing intestinal microbiome dysbiosis and fecal microbial transplantation models in mice to identify gut microbiotas effect on Mycobacteriums colonization in the mouse lungs and explore its potential mechanisms. The results showed that clindamycin treatment altered the diversity and composition of the intestinal bacterial and fungal microbiome, weakened the trans-kingdom network interactions between bacteria and fungi, and induced gut microbiome dysbiosis in the mice. Gut microbiota dysbiosis increases intestinal permeability and enhances the susceptibility of Mycobacterium colonization in the lungs of mice. The potential mechanisms were gut microbiota dysbiosis altered the lung transcriptome and increased Nos2 expression through the "gut-lung axis". Nos2 high expression disrupts the intracellular antimicrobial and anti-inflammatory environment by increasing the concentration of NO, decreasing the levels of ROS and Defb1 in the cells, and resulting in promoting Mycobacteria colonization in the lungs of mice. The present study raises a potential strategy for reducing the risks of Mycobacteria infections and transmission by regulating the gut microbiome balance.

microbiology↗

bioRxiv2024

Spatial hepatocyte plasticity of gluconeogenesis during the metabolic transitions between fed, fasted and starvation states

The liver acts as a master regulator of metabolic homeostasis in part by performing gluconeogenesis. This process is dysregulated in type 2 diabetes, leading to elevated hepatic glucose output. The parenchymal cells of the liver (hepatocytes) are heterogeneous, existing on an axis between the portal triad and the central vein, and perform distinct functions depending on location in the lobule. Here, using single cell analysis of hepatocytes across the liver lobule, we demonstrate that gluconeogenic gene expression (Pck1 and G6pc) is relatively low in the fed state and gradually increases first in the periportal hepatocytes during the initial fasting period. As the time of fasting progresses, pericentral hepatocyte gluconeogenic gene expression increases, and following entry into the starvation state, the pericentral hepatocytes show similar gluconeogenic gene expression to the periportal hepatocytes. Similarly, pyruvate-dependent gluconeogenic activity is approximately 10-fold higher in the periportal hepatocytes during the initial fasting state but only 1.5-fold higher in the starvation state. In parallel, starvation suppresses canonical beta-catenin signaling and modulates expression of pericentral and periportal glutamine synthetase and glutaminase, resulting in an enhanced pericentral glutamine-dependent gluconeogenesis. These findings demonstrate that hepatocyte gluconeogenic gene expression and gluconeogenic activity are highly spatially and temporally plastic across the liver lobule, underscoring the critical importance of using well-defined feeding and fasting conditions to define the basis of hepatic insulin resistance and glucose production.

molecular biology↗

bioRxiv2024

InstructPLM: Aligning Protein Language Models to Follow Protein Structure Instructions

Large language models are renowned for their efficacy in capturing intricate patterns, including co-evolutionary relationships, and underlying protein languages. However, current methodologies often fall short in illustrating the emergence of genomic insertions, duplications, and insertion/deletions (indels), which account for approximately 14% of human pathogenic mutations. Given that structure dictates function, mutated proteins with similar structures are more likely to persist throughout biological evolution. Motivated by this, we leverage crossmodality alignment and instruct fine-tuning techniques inspired by large language models to align a generative protein language model with protein structure instructions. Specifically, we present a method for generating variable-length and diverse proteins to explore and simulate the complex evolution of life, thereby expanding the repertoire of options for protein engineering. Our proposed protein LM-based approach, InstructPLM, demonstrates significant performance enhancements both in silico and in vitro. On native protein backbones, it achieves a perplexity of 2.68 and a sequence recovery rate of 57.51, surpassing Protein-MPNN by 39.2% and 25.1%, respectively. Furthermore, we validate the efficacy of our model by redesigning PETase and L-MDH. For PETase, all fifteen designed variable-length PETase exhibit depolymerization activity, with eleven surpassing the activity levels of the wild type. Regarding L-MDH, an enzyme lacking an experimentally determined structure, InstructPLM is able to design functional enzymes with an AF2-predicted structure. Code and model weights of InstructPLM are publicly available*.

bioinformatics↗

bioRxiv2024

Unlocking TAS2R14 activation through intricate multi-ligand binding networks

Bitter taste receptors, particularly TAS2R14, play central roles in discerning a wide array of bitter substances, ranging from dietary components to pharmaceutical agents1-3. In addition, TAS2R14 has broad expression in non-gustatory tissues, suggesting its important roles in selective physiological processes and therapeutic potential4. Here, we present cryo-electron microcopy structures of TAS2R14 in complex with flufenamic acid and aristolochic acid, coupling with G protein subtypes gustducin and Gi. Distinct from most known GPCRs, agonists of TAS2R14 bind to multiple intracellular pockets. We highlight the cholesterol molecules occupying an upper transmembrane site, typically the orthosteric pocket in other GPCRs, also binding in the entrance to an intracellular agonist binding pocket, suggesting an endogenous modulatory function5. The structural and mutagenesis analysis illuminate the receptors broad-spectrum ligand recognition and activation via intricate multiple ligand-binding sites. Furthermore, we unveil the structural configuration of gustducin and its interaction with TAS2R14, as well as the coupling mode of Gi1. This investigation should be instrumental in advancing our knowledge of the mechanisms underlying bitter taste recognition and response, with broader relevance to sensory biology and pharmacology.

biophysics↗

bioRxiv2024

SKP2-mediated FBXO2 proteasomal degradation drives hepatocellular carcinoma progression via stabilizing Hsp47

Accumulating studies highlight that dysregulated E3 ubiquitin ligases are associated with the onset and advancement of cancers. Nevertheless, the impact and mechanism of most E3 ubiquitin ligases on tumorigenesis and tumor metastasis remain poorly understood. Here, we show that loss of FBXO2, an E3 ubiquitin ligase, accelerates hepatocellular carcinoma (HCC) tumor growth and metastasis to the lung through stabilizing heat shock protein 47 (Hsp47). Downregulation of FBXO2, caused by DNA-PKcs-medicated phosphorylation at serine 17 and E3 ligase SKP2-mediated ubiquitination at lysine 79 and subsequent proteasomal degradation, is observed in tumor tissues compared to their parallel non-tumor tissues resected from patients with HCC. Patients whose tumors are enriched for SKP2 or Hsp47 or express low levels of FBXO2 have poor median survival compared to those whose tumors have reversed levels of SKP2, FBXO2 and Hsp47. Together, FBXO2 acts as a tumor suppressor in HCC development. The components of the SKP2-FBXO2-Hsp47 axis provide newly prognostic and therapeutic factors for anti-HCC.

cancer biology↗

bioRxiv2024

A chromosome-level genome assembly of the Hispid cotton rat (Sigmodon hispidus), a model for human pathogenic virus infections

BackgroundThe cotton rat (Sigmodon hispidus), a rodent species native to the Americas, has emerged as a valuable laboratory model of infections by numerous human pathogens including poliovirus and respiratory syncytial virus (RSV). ResultsHere we report the first reference assembly of the cotton rat genome organized at a chromosomal level, providing annotation of 24,878 protein-coding genes. Data from PCR-free whole genome sequencing, linked-read sequencing and RNA sequencing from pooled cotton rat tissues were analyzed to assemble and annotate this novel genome sequence. Spectral karyotyping data using fluorescent probes derived from mouse chromosomes facilitated the assignment of cotton rat orthologs to syntenic chromosomes, comprising 25 autosomes and a sex chromosome in the haploid genome. Comparative phylome analysis revealed both gains and losses of numerous genes including immune defense genes against pathogens. We identified thousands of recently retrotransposed L1 and SINE B2 elements, revealing widespread genetic innovations unique to this species. ConclusionsWe anticipate that annotation and characterization of the first chromosome-level cotton rat genome assembly as described here will enable and accelerate ongoing investigations into its host defenses against viral and other pathogens, genome biology and mammalian evolution.

genomics↗

bioRxiv2024

Evolutionary trajectory of TRPM2 channel activation by adenosine diphosphate ribose and calcium

Ion channel activation upon ligand gating triggers a myriad of biological events and, therefore, evolution of ligand gating mechanism is of fundamental importance. TRPM2, a typical ancient ion channel, is activated by adenosine diphosphate ribose (ADPR) and calcium and its activation has evolved from a simple mode in invertebrates to a more complex one in vertebrates, but the evolutionary process is still unknown. Molecular evolutionary analysis of TRPM2s from more than 280 different animal species has revealed that, the C-terminal NUDT9-H domain has evolved from an enzyme to a ligand binding site for activation, while the N-terminal MHR domain maintains a conserved ligand binding site. Calcium gating pattern has also evolved, from one Ca2+-binding site as in sea anemones to three sites as in human. Importantly, we identified a new group represented by olTRPM2, which has a novel gating mode and fills the missing link of the channel gating evolution. We conclude that the TRPM2 ligand binding or activation mode evolved through at least three identifiable stages in the past billion years from simple to complicated and coordinated. Such findings benefit the evolutionary investigations of other channels and proteins.

evolutionary biology↗

bioRxiv2024

Two-photon imaging of excitatory and inhibitory neural response to infrared neural stimulation

SignificancePulsed infrared neural stimulation (INS, 1875 nm) is an emerging neurostimulation technology that delivers focal pulsed heat to activate functionally specific mesoscale networks and holds promise for clinical application. However, little is known about its effect on excitatory and inhibitory cell types in cerebral cortex. AimEstimates of summed population neuronal response timecourses provide a potential basis for neural and hemodynamic signals described in other studies. ApproachUsing two-photon calcium imaging in mouse somatosensory cortex, we have examined the effect of INS pulse train application on hSyn neurons and mDlx neurons tagged with GCaMP6s. ResultsWe find that, in anesthetized mice, each INS pulse train reliably induces robust response in hSyn neurons exhibiting positive going responses. Surprisingly, mDlx neurons exhibit negative going responses. Quantification using the index of correlation illustrates responses are reproducible, intensity-dependent, and distance-dependent. Also, a contralateral activation is observed when INS application. ConclusionsIn sum, the population of neurons stimulated by INS includes both hSyn and mDlx neurons; within a range of stimulation intensities, this leads to overall excitation in the stimulated population, leading to the previously observed activations at distant post-synaptic sites.

neuroscience↗

bioRxiv2024

Sympathetic Signals Promote Immunosuppressive Neutrophils in Lung Tumors

It has become recognized that the nervous system can significantly influence cancer prognosis. However, the pathophysiological mechanism underlying neural modulation of the tumor immune microenvironment remains incompletely understood. Here, we exploit the advanced 3D imaging technique to reveal the frequent presence of sympathetic inputs in human non-small-cell lung cancer. Also, this spatial engagement of sympathetic innervations similarly occurs in the mouse models of lung tumors. Of importance, the local ablation of sympathetic signals strongly suppresses cancer progression. We then identify a neutrophil subtype uniquely present within lung tumors, whose immunosuppressive features are directly promoted by the sympathetic neurotransmitter norepinephrine via the {beta}2-adrenergic receptor (Adrb2). In addition, norepinephrine stimulates the specific type of tumor cells to recruit such immunosuppressive neutrophils. Accordingly, we show that the Adrb2 antagonist effectively potentiates the anti-PD-L1 immunotherapy. Together, these results have elucidated a critical aspect of sympathetic signals in designating the immune microenvironment of lung tumors.

neuroscience↗

bioRxiv2024

Resistance to Naive and Formative Pluripotency Conversion in RSeT Human Embryonic Stem Cells

One of the most important properties of human embryonic stem cells (hESCs) is related to their primed and naive pluripotent states. Our previous meta-analysis indicates the existence of heterogeneous pluripotent states derived from diverse naive protocols. In this study, we have characterized a commercial medium (RSeT)-based pluripotent state under various growth conditions. Notably, RSeT hESCs can circumvent hypoxic growth conditions as required by naive hESCs, in which some RSeT cells (e.g., H1 cells) exhibit much lower single cell plating efficiency, having altered or much retarded cell growth under both normoxia and hypoxia. Evidently, hPSCs lack many transcriptomic hallmarks of naive and formative pluripotency (a phase between naive and primed states). Integrative transcriptome analysis suggests our primed and RSeT hESCs are close to the early stage of post-implantation embryos, similar to the previously reported primary hESCs and early hESC cultures. Moreover, RSeT hESCs did not express naive surface markers such as CD75, SUSD2, and CD130 at a significant level. Biochemically, RSeT hESCs exhibit a differential dependency of FGF2 and co-independency of both Janus kinase (JAK) and TGF{beta} signaling in a cell-line-specific manner. Thus, RSeT hESCs represent a previously unrecognized pluripotent state downstream of formative pluripotency. Our data suggest that human naive pluripotent potentials may be restricted in RSeT medium. Hence, this study provides new insights into pluripotent state transitions in vitro.

cell biology↗

bioRxiv2024

Fast and accurate modeling and design of antibody-antigen complex using tFold

Accurate prediction of antibody-antigen complex structures holds significant potential for advancing biomedical research and the design of therapeutic antibodies. Currently, structure prediction for protein monomers has achieved considerable success, and promising progress has been made in extending this achievement to the prediction of protein complexes. However, despite these advancements, fast and accurate prediction of antibody-antigen complex structures remains a challenging and unresolved issue. Existing end-to-end prediction methods, which rely on homology and templates, exhibit sub-optimal accuracy due to the absence of co-evolutionary constraints. Meanwhile, conventional docking-based methods face difficulties in identifying the contact interface between the antigen and antibody and require known structures of individual components as inputs. In this study, we present a fully end-to-end approach for three-dimensional (3D) atomic-level structure predictions of antibodies and antibody-antigen complexes, referred to as tFold-Ab and tFold-Ag, respectively. tFold leverages a large protein language model to extract both intra-chain and inter-chain residue-residue contact information, as well as evolutionary relationships, avoiding the time-consuming multiple sequence alignment (MSA) search. Combined with specially designed modules such as the AI-driven flexible docking module, it achieves superior performance and significantly enhanced speed in predicting both antibody (1.6% RMSD reduction in the CDR-H3 region, thousand times faster) and antibody-antigen complex structures (37% increase in DockQ score, over 10 times faster), compared to AlphaFold-Multimer. Given the performance and speed advantages, we further extend the capability of tFold for structure-based virtual screening of binding antibodies, as well as de novo co-design of both structure and sequence for therapeutic antibodies. The experiment results demonstrate the potential of tFold as a high-throughput tool to enhance processes involved in these tasks. To facilitate public access, we release code and offer a web service for antibody and antigen-antibody complex structure prediction, which is available at https://drug.ai.tencent.com/en.

bioinformatics↗

bioRxiv2024

Substrate stiffness modulates the emergence and magnitude of senescence phenotypes

Cellular senescence is a major driver of aging and disease. Here we show that substrate stiffness modulates the emergence and magnitude of senescence phenotypes after exposure to senescence inducers. Using a primary dermal fibroblast model, we show that decreased substrate stiffness accelerates senescence-associated cell-cycle arrest and regulates the expression of conventional protein-based biomarkers of senescence. We found that the expression of these senescence biomarkers, namely p21WAF1/CIP1 and p16INK4a are mechanosensitive and are in-part regulated by myosin contractility through focal adhesion kinase (FAK)-ROCK signaling. Interestingly, at the protein level senescence-induced dermal fibroblasts on soft substrates (0.5 kPa) do not express p21WAF1/CIP1 and p16INK4a at comparable levels to induced cells on stiff substrates (4GPa). However, cells express CDKN1a, CDKN2a, and IL6 at the RNA level across both stiff and soft substrates. Moreover, when cells are transferred from soft to stiff substrates, senescent cells recover an elevated expression of p21WAF1/CIP1 and p16INK4a at levels comparable to senescence cells on stiff substrates, pointing to a mechanosensitive regulation of the senescence phenotype. Together, our results indicate that the emergent senescence phenotype depends critically on the local mechanical environments of cells and that senescent cells actively respond to changing mechanical cues.

molecular biology↗

bioRxiv2024

Variant Surface Protein GP60 Contributes to Host Infectivity of Cryptosporidium parvum

Biological studies of the determinants of Cryptosporidium infectivity and virulence are lacking despite the fact that cryptosporidiosis is a major public health problem. Here, we used advanced genetic tools to investigate the processing, fate, and function of the 60-kDa glycoprotein (GP60), an immunodominant variable antigen associated with protection against reinfection. Endogenous gene tagging revealed that GP60 is highly expressed in sporozoites, merozoites and male gametes, suggesting that it may be involved in both invasion and sexual replication. GP60 is translocated to the parasite membrane and cleaved at the furin cleavage site into GP40 and GP15. During invasion, GP40 translocates to the apical end of the zoites and remains detectable at the parasite-host interface. Although GP60 is dispensable, both gene deletion and replacement reduce parasite growth and severity of infection. Depletion of its structural domains, GP40, or GP15 individually affects GP60 translocation but has less effect on its function. These findings suggest that the GP60 protein contributes to host infectivity likely through its multiple functions in C. parvum-host interactions. They further our understanding of the pathogenesis of cryptosporidiosis.

microbiology↗

bioRxiv2024

SKSR1 identified as key virulence factor in Cryptosporidium by genetic crossing

Cryptosporidium parvum is a major cause of severe diarrhea. Although isolates of this zoonotic parasite exhibit significant differences in infectivity and virulence, the genetic determinants for these traits are not clear. In this study, we used classical genetics to cross two C. parvum isolates of different virulence and used bulked segregant analysis of whole-genome sequence data from the progeny to identify quantitative trait loci (QTL) associated with Cryptosporidium infectivity and virulence. Of the 26 genes in three QTL, two had loss-of-function mutations in the low-virulence isolates. Deletion of the SKSR1 gene or expression of the frame-shift mutant sequence reduced the pathogenicity of infection in vivo. SKSR1 is a polymorphic secretory protein expressed in small granules and secreted into the parasite-host interface. These results demonstrate that SKSR1 is an important virulence factor in Cryptosporidium, and suggest that this extended family may contribute to pathogenesis.

microbiology↗

bioRxiv2024

The Mechanism Insight into Bacterial Degradation of Pentachlorobiphenyl

Bacterial degradation mechanism for high chlorinated pentachlorobiphenyl (PentaCB) with worse biodegradability has not been fully elucidated, which could limit the full remediation of PCBs-combined pollution. In this research, using enzymatic screening method, a new PentaCB-degrading bacterium M. paraoxydans that has not been reported was obtained. The characteristic of its intracellular enzymes, proteome and metabolome variation during PentaCB degradation were investigated systematically. The results showed that PentaCB (PCB101, 1 mg/L) degradation rate could arrive 23.9% within 4 h till complete degradation within 12 h. The intracellular enzyme compound was optimally active at pH 6.0. The 12 up-regulated characterized proteins involved ABC transporter substrate-binding protein, translocase protein TatA and signal peptidase I (SPase I) indicated that functional proteins for PentaCB degradation were present both in the cytoplasm and outer surface of cytoplasmic membrane. There were also 5 differential metabolites strongly associated with above proteins in which the up-regulated 1, 2, 4-benzenetriol was enriched into the degradation pathways of benzoate, chlorocyclohexane, chlorobenzene and aminobenzoate. Bacterial degradation of PentaCB necessitates transmembrane transport, energy consumption, protein export, biofilm formation and quorum sensing. These findings hold significant theory and application value for PCBs biodegradation.

microbiology↗

bioRxiv2023

OmniClustifyXMBD: Uncover putative cell stateswithin multiple single-cell omics datasets

Clustering plays a pivotal role in characterizing cell states in single-cell omics data. Nonetheless, there is a noticeable gap in clustering algorithms tailored for unveiling putative cell states across datasets containing samples with diverse phenotypes. To bridge this gap, we implement an innovative method termed OmniClustifyXMBD, which integrates adaptive signal isolation with cell clustering. The adaptive signal isolation effectively disentangles gene expression variations linked to distinct factors within individual cells. This separation restores cells to their inherent states, free from external influences. Concurrently, a clustering algorithm built upon a deep variational Gaussian mixture model is devised to identify these putative cell states. Experiments showcase the effectiveness of OmniClustifyXMBD in identifying putative cell states while minimizing the influence of various undesired variations, including batch effects and random inter-sample differences. Moreover, OmniClustifyXMBD demonstrates robustness in its results across different clustering parameters.

bioinformatics↗

bioRxiv2023

FGF12 Modulates Cardiomyocyte Hypertrophy by Inhibiting GATA4-ERK1/2 Phosphorylation Through Altered Intracellular Localization

BackgroundHypertrophic cardiomyopathy (HCM) is a heritable pathological condition resulting from mutations in sarcomere-related proteins, leading to severe structural abnormalities without effective treatment options. Although reduced fibroblast growth factor 12(FGF12) expression is observed in HCM patients, its functional role remains unclear. MethodsEmploying immunoprecipitation (IP)-mass spectrometry (MS) and CUT&Tag sequencing, we investigated FGF12-interacting proteins in myocardial samples from healthy volunteers and HCM patients. CRISPR-Cas9 was utilized to explore the function and interaction partners of FGF12 in cardiomyocytes induced from human pluripotent stem cells (hiPSCs-CMs), other cell lines, and mouse models (MYH7R403Q and MYBPC3c.790G>A, transverse aortic constriction (TAC)). During hypertrophy, FGF12 localizes intranuclearly, prompting investigations into its binding to gene promoter regions through CUT&Tag sequencing and dual-luciferase experiments using myocardial tissues from patients. The beating frequency of hiPS-CMs was assessed using the CardioExcyte 96 real-time label-free cardiomyocyte functional analysis system. ResultsFGF12 was found to associate with proteins involved in energy metabolism, predominantly localizing to the perinuclear space under physiological conditions but shifting into the nucleus of hypertrophic cardiomyocytes. Co-IP-MS revealed significant interactions between FGF12 and metabolism-associated proteins, particularly GATA binding protein 4 (GATA4) and mitogen-activated protein kinase 1/3 (MAPK1/3) in the perinuclear space. In a hypertrophic state, FGF12 bound to the GATA4 promoter region, increasing its expression upon nuclear translocation. Both in vitro and in vivo models demonstrated that FGF12 interaction with GATA4 inhibited GATA4 and MAPK1/3 phosphorylation, inducing the expression of hypertrophy-associated genes. Overexpression of FGF12-NLS-del (nuclear localization signal deletion) resulted in decreased GATA4 phosphorylation, suggesting inhibition in the perinuclear region. ConclusionsThis study elucidates a pathological mechanism of HCM involving FGF12, where its nuclear localization enhances phosphorylation, GATA4 expression, and activation of the ERK1/2-pGATA4 pathway genes associated with hypertrophy. Beyond advancing our understanding of HCM, these findings propose FGF12 as a potential therapeutic target for HCM, warranting further exploration to potentially alleviate this condition affecting millions of individuals.

molecular biology↗

bioRxiv2023

Function-associated scRNA-seq on single lung cancer organoids unravels the immune landscape of tumor parenchyma

In vitro models coupled with multimodal approaches are urgently needed to decipher the local tumor immune microenvironment (TIME) owing to the heterogeneous nature of immune cells and their diverse spatial distributions. Here we generate primary lung cancer organoids (pLCOs) by isolating the tumor cell clusters, including the infiltrated immune cells, from dissected lung cancer samples. A FascRNA-seq platform allowing both phenotypic evaluation and the scRNA-seq of all the single cells in an organoid was developed to dissect the TIME in individual pLCOs. Our analysis on 171 individual pLCOs derived from 7 patients revealed that pLCOs retained the fundamental features as well as intra-tumor heterogeneity of local TIME in the parenchyma of parental tumor tissues, providing a series of models with consistent genetic background but various TIME. Linking the single cell transcriptome data of individual pLCOs with their responses to ICB allowed us to confirm the pivotal role of CD8+ Ts in ICB induced anti-tumor immunity, to identify the potential tumor-reactive T cells with a set of 10 genes, and to unravel the factors regulating T cell activity.

cancer biology↗