Biology subjects

Gao, X.

Publications and source records attributed to Gao, X..

At least 127 records · Page 7Linked to original sources

bioRxiv2024

Single-cell RNA sequencing analysis reveals new insights for intersex gonad initiation and early sex differentiation of goats

Polled intersex syndrome in goats severely impacts productivity and economic benefits, serving as a potential model for human reproductive defects. However, its specific molecular and cellular regulatory mechanisms remain unclear. This study combined single-cell RNA-sequencing (scRNA-seq) with tissue morphology and immunofluorescence detection to investigate the cellular heterogeneity, pseudo-time differentiation trajectory, differentially expressed genes, and regulatory networks of female, intersex, and male gonads during the 55-65 days embryonic stage of goats. The results indicated significant heterogeneity and cell fate transition in the somatic and germ cells of female, intersex, and male gonads at different developmental stages. Stromal cells may initiate female and intersexual gonad development, and epithelial cells may be the source of gonad cells in male fetuses. The abnormal expression of FOXL2, SOX9, AMH, DMRT1, RSPO1, INSL3, TCF21 and CSF1R may cause female-to-male sex reversal. The new candidate genes like PHLDB2, ZNRF3 and TEAD1 may contribute to the gender differentiation. Additionally, TREM2+ macrophages analogous to those in humans were identified in male gonads, while genes such as CSF1R and TYROBP potentially regulate macrophage immune privilege mechanisms. Early gonadal development in goats may also be regulated by circadian rhythm mechanisms similar to humans, with genes such as NR1D1, LGR4, and ATG5 involved in granulosa cell development, while genes such as ATG5, NRIP1, and FBXW11 may affect intersex trait development. In general, this study provided an important reference for exploring molecular and cellular mechanisms of intersex initiation during early embryonic development in goats and also for modelling human reproductive defects. Author summaryIn this study, we investigated the cell fate trajectory and key gene expression profile of goat fetus gonads using scRNA-seq. The analysis revealed cellular heterogeneity among normal male, normal female, and intersex gonadal somatic and germ cells, alongside their dynamic fate transitions across various developmental states. Pseudo-time trajectory analysis suggested that stromal cells might act as the initiation signal for female and intersexual gonad development, while epithelial cells could serve as the primary source of gonadal cells in male fetal goats. GO functional enrichment and KEGG analyses confirmed that abnormal expression of FOXL2, SOX9, AMH, DMRT1 and RSPO1 was linked to the emergence of intersexual gonads. Newly identified candidate genes including LRP2, PITX2, ARX, LHX9, PHLDB2, ZNRF3 and TEAD1 may contribute to sex-specific differences, while INSL3 and TCF21 could be linked to intersexual gonads. We identified TREM2+ macrophages analogous to those in humans, which could regulate immune privilege mechanisms. Circadian rhythmic changes were observed during early goat gonadal development.

developmental biology↗

bioRxiv2024

Unexpected Activities of CYP152 Peroxygenases towards Non-carboxylic Substrates Reveal Novel Substrate Recognition Mechanism and Catalytic Versatility

Exploring and exploiting the catalytic promiscuity of enzymes is a central topic and captivating challenge in enzymology. CYP152 peroxygenases are attractive biocatalysts for diverse reactions under mild conditions using H2O2 as cofactor. However, their substrate scope is limited by a carboxyl group required for acid-base catalysis, following the well-accepted principle that heme-dependent H2O2-utilizing enzymes employ a carboxyl group within their active sites to facilitate H2O2 activation. Herein, we reveal for the first time that several CYP152 family members can directly degrade various aromatic pollutants without any carboxyl group, exhibiting novel aromatic hydroxylation and dehalogenation activities. Through crystal structure analysis, isotope tracing experiments, and QM/MM calculations, we elucidate that the phenolic hydroxyl group activated by electron-withdrawing substituent(s) functionally replaces the carboxyl group, forming hydrogen bonds with the conserved arginine leading to Compound I formation. The oxygen atom of the newly formed hydroxyl group originates from water, bypassing the conventional oxygen rebound step. These findings provide first insights into the mechanisms of P450 peroxygenases towards non-carboxylic substrates, expanding our knowledge of biological C-H activation and C-halogen bond cleavage beyond canonical P450 reactions. This discovery holds immense potential for harnessing these enzymes in innovative strategies for industrial biocatalysis and environmental remediation.

biochemistry↗

bioRxiv2024

Disruption of LEDGF/p75-directed integration derepresses antisensetranscription of the HIV-1 genome

AbstractDisruption of HIV-1 Integrase (IN) interactions with the host-factor Lens Epithelium-Derived Growth Factor (LEDGF)/p75 leads to decreased, random integration, increased latent infection, and described here, accumulation of HIV-1 antisense RNA (asRNA). asRNA increase was observed following interruptions of IN-LEDGF/p75 interactions either through pharmacologic perturbations of IN-LEDGF/p75 by treatment with allosteric HIV-1 integrase inhibitors (ALLINIs) or in cell lines with LEDGF genetic knockout. Additionally, by impairing Tat-dependent HIV transcription, asRNA abundance markedly increases. Illumina sequencing characterization of asRNA transcripts in primary T cells infected in the presence of ALLINIs showed that most initiate from within the HIV-1. Overall, loss of IN-LEDGF/p75 interactions increase asRNA abundance. Understanding the relationship between ALLINIs, integration sites, asRNA, and latency could aid in future therapeutic strategies.

microbiology↗

bioRxiv2024

Impact of a transient neonatal visual deprivation on the development of the ventral occipito-temporal cortex in humans

How does experience shape the development of visual brain regions? We demonstrate that a transient period of visual deprivation early in life in humans leads to permanent alteration in the function of the early visual cortex (EVC), while leaving the categorical coding of downstream ventral occipito-temporal cortex (VOTC) mostly unaffected. We used fMRI to characterize the brain response to five categories (faces, bodies, objects, buildings and words) in a rare group of cataract-reversal individuals who experienced a transient period of blindness early in life, and in matched participants with typical visual development. We show that the encoding of low-level visual properties is impaired in EVC in cataract-reversal participants, while the categorical response in the VOTC is preserved. When altering the visual properties of our stimuli to mimic in controls the deficit of EVC response of the cataract, we observe a cascading alteration of the categorical coding from EVC to VOTC that is not observed in the cataract-reversal group. Our results show that a typical visual categorical organization develops in VOTC despite a period of visual deprivation early in life and in the presence of impaired processing in EVC. A deep neural network exposed to a visual diet that emulates the experience of our participants reproduced our brain observations within an artificial system. These findings emphasize how specific visual regions are differently affected by a period of visual deprivation early in life, with information encoded in EVC being permanently affected, while the categorical coding in VOTC shows resilience to deprivation.

neuroscience↗

bioRxiv2024

NaDyNet: A Toolbox for Dynamic Network Analysis of Naturalistic Stimuli

Experiments with naturalistic stimuli (e.g., listening to stories or watching movies) are emerging paradigms in brain function research. The content of naturalistic stimuli is rich and continuous. The fMRI signals of naturalistic stimuli are complex and include different components. A major challenge is isolate the stimuli-induced signals while simultaneously tracking the brains responses to these stimuli in real-time. To this end, we have developed a user-friendly graphical interface toolbox called NaDyNet (Naturalistic Dynamic Network Toolbox), which integrates existing dynamic brain network analysis methods and their enhanced versions. The main features of NaDyNet are: 1) extracting signals of interest from naturalistic fMRI signals; 2) incorporating six commonly used dynamic analysis methods and three static analysis methods; 3) enhanced versions of these dynamic methods by adopting inter-subject analysis to eliminate the effects of non-interest signals; 4) performing K-means clustering analysis to identify temporally reoccurring states along with their temporal and spatial attributes. We then introduced the rationale for incorporating inter-subject analysis to improve existing dynamic brain network analysis methods, and presented numerous examples. We also summarized research progress in comparing methodological efficacy, offered our recommendations for method selection in dynamic network analysis, and discussed the limitations of current approaches and directions for future research. We hope that this open source toolbox will promote the development of naturalistic neuroscience. The toolbox is available at https://github.com/yuanbinke/Naturalistic-Dynamic-Network-Toolbox.

neuroscience↗

bioRxiv2024

pnetr: An R package for the PnET family of forest ecosystem models

O_LIEcosystem models offer a rigorous way to formalize scientific theories and are critical to evaluating complex interactions among ecological and biogeochemical processes. In addition to simulation and prediction, ecosystem models are a valuable tool for testing hypotheses about mechanisms and empirical findings because they reveal critical internal processes that are difficult to observe directly. C_LIO_LIHowever, many ecosystem models are difficult to manage and apply by scientists who lack advanced computing skills due to complex model structures, lack of consistent documentation, and low-level programming implementation, which facilitates computing but reduces accessibility. C_LIO_LIHere, we present the pnetr R package, which is designed to provide an easy-to-manage ecosystem modeling framework and detailed documentation in both model structure and programming. The framework implements a family of widely used PnET (net photosynthesis, evapotranspiration) ecosystem models, which are relatively parsimonious but capture essential biogeochemical cycles of water, carbon, and nutrients. We chose the R programming language since it is familiar to many ecologists and has abundant statistical modeling resources. We showcase examples of model simulations and test the effects of phenology on carbon assimilation and wood production using data measured by the Environmental Measurement Station (EMS) eddy-covariance flux tower at Harvard Forest, MA. C_LIO_LIWe hope pnetr can facilitate further development of ecological theory and increase the accessibility of ecosystem modeling and ecological forecasting. C_LI

ecology↗

bioRxiv2024

Brain-region-specific changes and dysregulation of activity regulated genes in Gria3 mutant mice, a genetic animal model of schizophrenia

Protein-truncating variants in GRIA3 (encoding the GluA3/GluR3 subunit of -amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA)-type glutamate receptors) are associated with substantially increased risk of schizophrenia (SCZ). Here we characterized Gria3 mutant mice carrying a protein-truncating mutation that mimics a SCZ-associated variant. Transcriptomic analysis revealed that activity-regulated genes are downregulated in cortical regions, while immune and glia-related pathways exhibit brain-region-specific changes. The transcriptomic changes in Gria3 mutant mice are remarkably different from those in Grin2a mutant mice, particularly in the prefrontal cortex, even though both encode glutamate receptors and are associated with SCZ risk. Proteomic analysis further demonstrated that loss-of-function of Gria3 profoundly alters the protein composition of synapses. These findings in a genetic mouse model provide potential insights into the pathophysiological mechanisms underlying SCZ.

neuroscience↗

bioRxiv2024

A Robust Computational Framework for the Optimization of CDK7 Inhibitors as Promising Cancer Therapy

Cyclin-dependent kinase 7 (CDK7) plays a crucial role in cell cycle regulation and transcription, establishing it as a promising target for cancer therapy. Although the covalent inhibitor THZ1 effectively targets CDK7, it presents risks such as short half-life and potential off-target side effects. To address these limitations, we employed a computational workflow integrating virtual screening, molecular dynamics (MD) simulations, and free energy perturbation (FEP) method to design non-covalent CDK7 inhibitors with enhanced selectivity and safety profiles. MD simulations elucidated THZ1s inhibitory mechanism and identified key molecular fragments within its structure. By incorporating fragments from known inhibitors, we introduced extensive non-covalent interactions within the binding pocket, leading to the identification of three novel non-covalent inhibitors with binding affinities comparable to or higher than that of THZ1. Our findings not only introduce promising CDK7 inhibitors but also present a robust computational framework that could accelerate the discovery of kinase-targeted therapeutics.

biophysics↗

bioRxiv2024

Architecture of a pentameric assembly of the tail tube protein in SPR phages

The majority of phages, viruses that infect prokaryotes, deliver their genomic material into host cells via a tail structure. Previous research has established that the central tube of these phages, composed of tail tube protein (TTP), is structurally conserved, typically forming either hexameric or trimeric rings. In this study, we revealed a novel pentameric assembly of TTP and present two cryo-EM structures at resolutions of 3.5 [A] and 3.7 [A], respectively. Our detailed structural analysis demonstrates that the inner surface of the pentameric tube is highly negatively charged. Critical residues located on the loop between {beta}3 and {beta}4 play pivotal roles in the formation of the pentameric rings, and mismatches of the interactions between the stacked layers can induce the curvature of the tube. The cryo-EM structure of the TTP polymer at the tubes end uncovered that the {beta}-strands that span amino acids 27-65 move towards the central tunnel, potentially blocking the tunnel through which the phage genome is released. Our study provides new structural insights into a novel assembly of TTP, which will extend the understanding of phage assembly.

biophysics↗

bioRxiv2024

Ophiostomatalean fungi associated with Cyrtogenius luteus infested Pinus massoniana, including characterization of Masuyamyces qingyuanensis sp. nov. in China

Ophiostomatalean fungi refers to the species in the order Ophiostomatales of Ascomycota. This group of fungi comprises wood blue-stain agents and some species that are important pathogens of trees, nematodes, or humans. Most species in the Ophiostomatales have beneficial relationships with wood-boring insects such as bark beetles. Recent surveys were conducted to investigate the diversity of Ophiostomatoid fungi associated with Cyrtogenius luteus infesting Pinus massoniana in some areas of Guangdong, China. This study, 382 fungal strains were obtained, and 224 were identified as belonging to the Ophiostomatales order. Identification of these strains revealed that they spanned seven distinct genera. A new species, Masuyamyces qingyuanensis sp. nov., was discovered and identified through a combination of morphological and phylogenetic analyses across four gene regions: beta-tubulin (TUBB), internal transcribed spacer (ITS), large subunit ribosomal RNA (LSU), and translation elongation factor 1 alpha (EF1A).

microbiology↗

bioRxiv2024

The aberrant language network dynamics in autism ages 5-40 years

Language impairments across both structural components and pragmatic use are frequently observed in individuals with autism spectrum disorder (ASD). These difficulties are thought to stem from atypical brain development and abnormal network interactions, yet an integrative network-level model accounting for such impairments remains lacking. To bridge this gap, we applied the dynamic meta-networking framework of language, a theoretical model capturing domain-segregation dynamics during rest, to examine age-related changes (5-60 years) in cortical language networks in individuals with ASD. To further probe the biological underpinnings of these dynamics, we quantified spatial correspondences between network state hubs and gene co-expression modules as well as neurotransmitter receptor distributions. We identified distinct language meta-states characterized by domain-segregation connectivity patterns, which exhibited spatial alignment with gene co-expression modules and neurotransmitter systems. Individuals with ASD showed state-dependent developmental trajectories marked by age-related hypo- and hyper-connectivity. Critically, these network alterations strongly predicted verbal IQ and communicative difficulties, but were unrelated to social functioning or stereotyped behaviors. Our findings provide novel evidence that language-related network dynamics in ASD are developmentally altered, biologically grounded, and selectively linked to verbal and communicative impairments. These results advance a network-level model of language dysfunction in ASD and highlight potential mechanistic pathways for targeted interventions. Lay SummaryLanguage challenges are common in autism and can affect both learning language and using it in everyday conversations. In people aged 5-60, we found distinct, age-changing patterns in how the brains language areas connect at rest; these patterns align with basic biology (genes and brain chemicals) and strongly relate to verbal ability and daily communication, but not to social difficulties or repetitive behaviors. These results suggest clear, brain-based targets for earlier and more tailored support for language problems in autism.

neuroscience↗

bioRxiv2024

Torsion is a Dynamic Regulator of DNA Replication Stalling and Reactivation

The inherent helical structure of DNA dictates that a replisome must rotate relative to DNA during replication, presenting inevitable topological challenges to replication. However, little is known about how the replisome progresses against torsional stress. Here, we developed a label-free, high-resolution, real-time assay to monitor replisome movement under torsion. We visualized the replisome rotation of DNA and determined how the replisome slows down under torsion. We found that while helicase or DNA polymerase (DNAP) individually is a weak torsional motor, the replisome composed of both enzymes is the most powerful DNA torsional motor studied to date. It generates [~] 22 pN{middle dot}nm of torque before stalling, twice the stall torque of E. coli RNA polymerase. Upon replisome stalling, the specific interaction between helicase and DNAP stabilizes the fork junction; without it, the fork can regress hundreds of base pairs. We also discovered that prolonged torsion-induced stalling inactivates the replisome. Surprisingly, DNAP exchange, mediated by the helicase, is highly effective in facilitating replication restart, but only if excess DNAP is present during stalling. Thus, helicase and DNA polymerase work synergistically as a powerful torsional motor, and their dynamic and fluid interactions are crucial for maintaining fork integrity under torsional stress. This work demonstrates that torsion is a strong regulator of DNA replication stalling and reactivation.

biophysics↗

bioRxiv2024

CXXC-finger protein 1 associates with FOXP3 to stabilize homeostasis and suppressive functions of regulatory T cells

FOXP3-expressing regulatory T (Treg) cells play a pivotal role in maintaining immune homeostasis and tolerance, with their activation being crucial for preventing various inflammatory responses. However, the mechanisms governing the epigenetic program in Treg cells during their dynamic activation remain unclear. In this study, we demonstrate that CXXC finger protein 1 (CXXC1) interacts with the transcription factor FOXP3 and facilitates the regulation of target genes by modulating H3K4me3 deposition. Cxxc1 deletion in Treg cells leads to severe inflammatory disease and spontaneous T-cell activation, with impaired immunosuppressive function. As a transcriptional regulator, CXXC1 promotes the expression of key Treg functional markers under steady-state conditions, which are essential for the maintenance of Treg cell homeostasis and their suppressive functions. Epigenetically, CXXC1 binds to the genomic regulatory regions of Treg program genes in mouse Treg cells, overlapping with FOXP3 binding sites. Given its critical role in Treg cell homeostasis, CXXC1 presents itself as a promising therapeutic target for autoimmune diseases.

immunology↗

bioRxiv2024

Tunable Elliptical Cylinders for Rotational Mechanical Studies of Single DNA Molecules

The angular optical trap (AOT) is a powerful technique for measuring the DNA topology and rotational mechanics of fundamental biological processes. Realizing the full potential of the AOT requires rapid torsional control of these processes. However, existing AOT quartz cylinders are limited in their ability to meet the high rotation rate requirement while minimizing laser-induced photodamage. In this work, we present a novel trapping particle design to meet this challenge by creating small metamaterial elliptical cylinders with tunable trapping force and torque properties. The optical torque of these cylinders arises from their shape anisotropy, with their optical properties tuned via multilayered SiO2 and Si3N4 deposition. We demonstrate that these cylinders can be rotated at about 3 times the rate of quartz cylinders without slippage while enhancing the torque measurement resolution during DNA torsional elasticity studies. This approach opens new opportunities for previously inaccessible rotational studies of DNA processing.

biophysics↗

bioRxiv2024

An Effective Surface Passivation Assay for Single-Molecule Studies of Chromatin and Topoisomerase II

For single-molecule studies requiring surface anchoring of biomolecules, a poorly passivated surface can result in alterations of biomolecule structure and function that can result in artifacts. This protocol describes surface passivation and sample chamber preparation for mechanical manipulation of chromatin fibers and characterization of topoisomerase II activity in physiological buffer conditions. The method employs enhanced surface hydrophobicity and purified blocking proteins to reduce non-specific surface adsorption. This method is accessible, cost-effective, and potentially widely applicable to other biomolecules. For a complete list of publications that employ this protocol, see the paper references. B. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=154 SRC="FIGDIR/small/614989v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@d52b73org.highwire.dtl.DTLVardef@117bfc3org.highwire.dtl.DTLVardef@2eb670org.highwire.dtl.DTLVardef@cb88b2_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2024

IgGM: A Generative Model for Functional Antibody and Nanobody Design

AO_SCPLOWBSTRACTC_SCPLOWImmunoglobulins are crucial proteins produced by the immune system to identify and bind to foreign substances, playing an essential role in shielding organisms from infections and diseases. Designing specific antibodies opens new pathways for disease treatment. With the rise of deep learning, AI-driven drug design has become possible, leading to several methods for antibody design. However, many of these approaches require additional conditions that differ from real-world scenarios, making it challenging to incorporate them into existing antibody design processes. Here, we introduce IgGM, a generative model for the de novo design of immunoglobulins with functional specificity. IgGM produces antibody sequences and structures simultaneously for a given antigen, consisting of three core components: a pre-trained language model for extracting sequence features, a feature learning module for identifying pertinent features, and a prediction module that outputs designed antibody sequences and the predicted complete antibody-antigen complex structure. IgGM has demonstrated its effectiveness in not only predicting structures but also designing novel antibodies and nanobodies. This makes it highly applicable in a wide range of practical situations related to antibody and nanobody design. 1

bioinformatics↗

bioRxiv2024

Two new species of Graphium (Microascales, Ascomycota) associated with pine-infesting bark beetles in China

Graphium is a genus of fungi that falls under the order Microascales of Ascomycota. Some species in this genus can establish a unique symbiotic relationship with the pine-infesting bark beetles, while others are typically found in wood or soil habitats. To comprehensively investigate the diversity of species of these fungi, recent field trips were conducted in seven provinces (Fujian, Guangdong, Guizhou, Guangxi, Liaoning, Shaanxi, and Shandong) in China. 96 pure isolates of Graphium were obtained by sequences from 361 samples. Nineteen representative strains were carefully selected to generate sequencing data from four gene regions (ITS, LSU, EF1A and TUBB), then used to construct phylogenetic trees for the genus. The results revealed the discovery of two new species, namely G. armandii sp. nov. and G. massoniana sp. nov., and G. pseudoumiticum was the most common species in various pine hosts.

microbiology↗

bioRxiv2024

Development of a DNA-encoded library screening method DEL Zipper to empower the study of RNA-targeted chemical matter

To date, RNA-targeted chemical matter is under explored due to a lack of robust screening assays. In this study, we present a novel RNA-targeted small molecule screening approach using a specialized DNA-encoded library (DEL). Our findings reveal that the specialized DEL library, called "DEL Zipper", can significantly reduce single-stranded DNA-RNA region interaction signals during various kinds of RNA selection. By performing the selection against both G-quadruplex, we have identified novel hits that interact with RNA targets and the results are validated through binding. This study demonstrates that the "DEL Zipper" method is a robust screening assay that has potential for discovering small molecule ligands for diverse RNA targets.

molecular biology↗