Biology subjects

Yao, Q.

Publications and source records attributed to Yao, Q..

At least 19 recordsLinked to original sources

bioRxiv2026

AI-enabled discovery of small molecules targeting complementary pathways for hair follicle rejuvenation

Hair thinning arises from multi-faceted dysfunction within the hair follicle, driven by both intrinsic cellular pathways and pathways responding to extrinsic hormonal and microenvironmental cues. Here, we present an AI-enabled discovery framework to discover small molecules that promote hair follicle rejuvenation. This framework integrates graph neural networks trained on phenotypic screening data with structure-based virtual screening to prioritize compounds that modulate complementary biological pathways. Through AI-enabled screening, hit-to-lead optimization, and medicinal chemistry, we identified four compounds that increase follicle dermal papilla cell viability, stabilize hypoxia signaling by inhibiting prolyl hydroxylase domain protein 2 (PHD2), and suppress androgen-mediated follicular miniaturization by inhibiting 5-reductases (5-ARs). RNA sequencing analyses confirmed pathway engagement, and functional validation across primary cells and a 3D hair follicle organoid model demonstrated high activity and cellular specificity. The lead compounds were incorporated into a water-based formulation, where they demonstrated robust solubility and combinatorial efficacy to increase sprouting length of follicle organoids. These results establish an AI-enabled platform for discovering multi-pathway modulators of hair follicle rejuvenation.

bioengineering↗

bioRxiv2026

Genome-wide DNA supercoiling arises from transcription and SMC activity and mediates transcriptional negative feedback

Genome-wide DNA supercoiling is closely linked to chromatin organization and gene expression, yet the mechanisms establishing genome-scale supercoiling in living cells and its functional consequences remain unclear. Here, we show that genome-wide supercoiling arises from transcription-driven asymmetric topological relaxation together with contributions from SMC complexes in human cells. During RNA polymerase elongation, human topoisomerases preferentially relax positive over negative supercoils, leading to the accumulation of negative supercoiling around genes. This imbalance enriches supercoiling at transcriptionally active regions including TAD boundaries, and promotes the emergence of large-scale topology. In parallel, SMC complexes independently shape genome-wide supercoiling, with cohesin contributing to interphase topology and condensin establishing an overall positively supercoiled mitotic genome. Functionally, the accumulation of transcription-driven negative supercoiling represses local transcription, revealing a supercoiling-mediated negative feedback mechanism. Together, these findings define the mechanistic basis of genome-scale supercoiling in human cells and establish DNA topology as an integral regulatory layer of transcription.

molecular biology↗

bioRxiv2026

Digoxin Inhibits Bax{triangleup}2-induced Neuronal Cell Death

Pro-death Bax isoform Bax{Delta}2 forms protein aggregates in Alzheimers neurons, triggering stress granule formation and neuronal cell death. In seeking chemical ligands to prevent Bax{Delta}2 monomer aggregation, we performed in silico screening of FDA-approved drugs using computational docking. This screening identified a group of compounds that bind to the hydrophobic pocket of Bax{Delta}2. Subsequent wet-lab testing revealed that digoxin could block neuronal cell death at nanomolar concentrations (50 to 100 nM). Importantly, digoxins protective role is specific to Bax{Delta}2-induced cell death and is independent of its primary cardio-action on Na/K-ATPase. Further investigation suggests that digoxin does not significantly affect the formation of Bax{Delta}2 aggregates but may instead modulate Bax{Delta}2 protein levels. Although the therapeutic use of digoxin for Alzheimers disease is not feasible due to its narrow therapeutic window and toxicity, these findings open the door for chemical modification of digoxin, or development of similar compounds, to prevent Bax{Delta}2-mediated neuronal cell death in Alzheimers disease.

molecular biology↗

bioRxiv2025

Integrative Computational and Experimental Analysis of Curly Su Mutations in Drosophila melanogaster

The Curly Su (dMPO) protein, a homolog of the human myeloperoxidase (hMPO), is critical for wing development in Drosophila melanogaster. Like human peroxidases, dMPO is involved in various cellular and physiological processes, producing significant quantities of reactive oxygen species that contribute to both development and immunity in the fruit fly. Given the significant sequence and structural similarities between dMPO and hMPO, dMPO serves an ideal model for studying peroxidase functions and related pathologies. We performed saturated computational mutagenesis on dMPO, analyzing the effects of 11,191 missense mutations on its stability. Notably, the G378W mutation exhibited the greatest destabilizing effect, while the W621R, potentially pathogenic, also reduced dMPO stability. To investigate these effects in vivo, we used genome editing to generate the transgenic Drosophila with G378W, W621R, and deletion of residues 305-687. Remarkably, G378W mutants displayed significant alterations in wing morphology and reduced lifespan. RNA-seq analysis of transgenic and wild-type flies revealed differentially expressed genes (DEGs), as interpreted through gene ontology analysis. Our integrated computational and genetic approach identified dMPO mutations that disrupt protein stability and alter gene expression. These findings offer new insight into how single-point mutations can lead to systemic biological changes. Author SummaryProteins are the molecular machines that drive almost every process in living organisms, and even small genetic changes can disrupt their structure and function. In this study, we focused on Curly Su, a protein in fruit flies that is similar to human myeloperoxidase. We used a computational approach called saturation mutagenesis to model over 11,000 possible single mutations in the Curly Su protein and predict how they would affect its stability. We then used genome editing to introduce several destabilizing and potential disease-causing mutations into flies. These mutant flies developed abnormal wings, had shorter lifespans, and showed widespread changes in gene activity, particularly in metabolism and immune pathways. By combining computational predictions with experimental validation, our work demonstrates a powerful and generalizable strategy for linking specific genetic mutations to whole-organism outcomes. This approach not only sheds light on the biological role of Curly Su but also provides a framework that can be applied to other genes and organisms, offering insights relevant to human health and disease.

bioinformatics↗

bioRxiv2025

Computational and Experimental Identification of Potential Neutralizing Peptides Derived from Human ACE2 Against SARS-CoV-2 Infection

The human angiotensin-converting enzyme 2 (hACE2) is the primary receptor for the entry of SARS-CoV-2. Some human alleles of ACE2 exhibit an improved affinity for the SARS-CoV-2 Spike protein. However, the impact of ACE2 polymorphisms on SARS-CoV-2 infection remains unclear. Our previous study predicted that G431 and S514 in the receptor-binding domain (RBD) od SARS-CoV-2 S1 domain are important for S protein stability, and that S protein residues G496 and F497 and ACE2 residues D355 and Y41 are critical for the RBD-ACE2 interaction (1). In this study, we explored the potential of hACE2-derived neutralizing peptides as a therapeutic strategy against SARS-CoV-2 and investigated how ACE2 polymorphisms affect RBD-ACE2 binding affinity. We applied computational saturation mutagenesis to systematically screen the binding affinity changes among all possible ACE2 missense mutations within the ACE2-Wuhan-S1 complex. Mutations at ACE2 residues D355 and Y41 were predicted to weaken binding affinity, whereas those at N330 and D30 enhanced it. We identified six ACE2 regions (19-49, 65-102, 320-333, 348-359, 378-395, 552-563) to be vital for ACE2-RBD interaction. We synthesized peptides corresponding to these six regions and tested them using a pseudotyped viral particle system and dot blot assay. Three peptides were confirmed to bind with S protein, and four exhibited inhibitory effects. We aligned ACE2-Wuhan-S1 and ACE2-Omicron-S1 complexes, conducted correlation analysis, and observed similar binding patterns, suggesting that these peptides also have potential to neutralize Omicron strains. IMPORTANCESARS-CoV-2 continues its global spread. In this research, we identified six regions within ACE2 that are vital for interaction with the viral S RBD and have potential to neutralize SARS-CoV-2 infection. Among the six peptides derived from ACE2, three were confirmed to bind with S protein of Wuahan strain, and four exhibited inhibitory effects on Wuahn strain SARS-CoV-2. We also found ACE2 residues D355 and Y41 as weakening affinity, and N330 and D30 as enhancing it. We also aligned this complex with the ACE2-Omicron-S1 complex, performed correlation analyses, and compared their patterns of stability changes upon mutations, and obtained similar results, indicating that these peptides may also be effective against Omicron variants. These results provide insight into the role of ACE2 polymorphism in viral entry and suggest that hACE2-derived peptides may offer a promising therapeutic strategy against SARS-CoV-2, demonstrating strong consistency between our computational predictions and experimental outcomes.

microbiology↗

bioRxiv2025

Organism-wide spatiotemporal profiling of gene expression utilizing a X-CreERT2/Ai9 tracing system

This study utilizes a novel inducible X-CreERT2/Ai9 system to comprehensively delineate the spatial expression landscape of Fermt2, which encodes a key focal adhesion protein Kindlin-2, across organs in mice. We can confirm all known Kindlin-2-expressing cells and identify any previously unknown Kindlin-2-expressing cells and those that do not express Kindlin-2 in all tissues/organs in mice. We have developed this cost-effective, rapid, and high-fidelity system and implemented its first whole-organism application for comprehensive gene expression profiling. This work not only provides unprecedented insights into roles of Kindlin-2 in diverse physiologies and pathologies, but also establishes the inducible X-CreERT2/Ai9 system as a powerful paradigm-shifting platform for organism-wide pan-organ spatiotemporal expression profiling of any target genes encoding any proteins and micro-RNAs. By enabling high-resolution mapping of drug target expression, this system may lay critical groundwork for elucidating previously unknown adverse and beneficial effects of targeted therapies, offering transformative potential for precision medicine.

biochemistry↗

bioRxiv2025

Aromatic Patch in WhiB-Like Transcription Factors Facilitates Primary Sigma Factor Interaction in Mycobacterium tuberculosis

WhiB-like (Wbl) family proteins are a unique family of iron-sulfur ([4Fe-4S]) cluster-bound transcription factors found exclusively in Actinobacteria and actinobacteriophages, including the notoriously persistent pathogen Mycobacterium tuberculosis (Mtb). Despite their critical roles in cell development, stress response and antibiotic resistance, the mechanisms of gene regulation by the Wbl family proteins are not fully understood due to the lack of a canonical DNA-binding motif in most Wbl proteins. Here, we present structural and biochemical evidence demonstrating that all Mtb Wbl proteins bind to the same site in the conserved region 4 of the primary sigma 70 factor facilitated by a previously unrecognized structural motif, the aromatic patch, in the Wbl family. Our phylogenetic findings provide compelling evidence for a complex evolutionary relationship of Wbls between actinobacteria and the associated phages. Together, this work fills a critical gap in our understanding of the function, mechanism and evolutionary origin of Wbls.

biochemistry↗

bioRxiv2025

Using green space virtual reality to prevent stress-induced working memory impairment

Exposure to green space is associated with both physical and mental health benefits, including the potential to buffer acute stress responses, positioning it as a promising non-pharmacological approach to protect cognitive functions against stress. However, urban residents often face significant barriers in accessing green spaces, which are not equitably distributed. Virtual Reality (VR) technology offers a potential solution by simulating green space that could be made accessible to a broader demographic. Here, we explored whether VR-stimulated green space could dampen biological stress responses (i.e., heart rate and cortical response) and prevent stress-induced working memory (WM) impairment. Healthy young participants underwent acute stress induction followed by 15 minutes of VR-based green space (N=36) or control empty space (N=30) intervention. Although we observed the expected stress-induced increase in heart rates and elevated cortisol levels under stress, VR green space exposure failed to temper cortisol responses compared to the control VR space. Further, VR green space exposure did not bring benefits to protect working memory performance under stress across three WM tasks. Applying a Bayesian analysis approach throughout enabled us to find substantial evidence for the absence of an effect of VR-based green space exposure on biological markers of acute stress responses and working memory performance. Our findings suggest that VR-generated green space may not effectively replicate the stress-buffering effects of actual green space exposure. We discussed the implications of our findings regarding the potential and limitations of using VR or green space exposure to buffer stress responses.

neuroscience↗

bioRxiv2024

Peucedanol ameliorates LPS-induced inflammation in RAW264.7 cells and CLP-induced sepsis in mice by inhibiting TLR4/myD88/NF-κB pathway

BackgroundPreviously, it has reported that Peucedanol (PEU) possesses anti-bacterial activity. However, its effect and mechanism against inflammation remains unclear. MethodsIsothermal titration calorimetry (ITC) was used to assess binding affinities of PEU to pathogen associated molecular patterns (PAMPs) Kdo2-Lipid A (KLA), oligodeoxynucleotide 1826 (ODN 1826), and peptidoglycan (PGN). A lipopolysaccharide (LPS)-induced RAW264.7 cell inflammation model and a cecum ligation and a puncture (CLP)-induced mouse sepsis model were used to assess efficacy and mechanism of PEU in vitro and in vivo. 16S ribosomal RNA (16S rRNA) sequencing was used to assay characteristics of intestinal flora of the sepsis mice. ResultsPEU had a moderate binding to KLA and ODN 1826. PEU significantly reduced supernatant tumor necrosis factor (TNF-) and interleukin 6 (IL-6), and downregulated protein expressions of toll-like receptor 4 (TLR4), myeloid differentiation primary response gene 8 (MyD88), and nuclear factor kappa-B (NF-{kappa}B) in the LPS-treated cells. PEU remarkably increased the survival rate, reduced the serum TNF- and IL-6 levels, attenuated the CLP-induced pathological damage of intestine, increased proliferation-related proteins Bmi1 and Lgr5. Further, the anti-inflammatory effects of PEU were not significantly abolished in the present of chloroquine (CQ). Meanwhile, PEU significantly increased Chao1 index of the intestinal flora at the early stage of sepsis. In addition, PEU significantly changed composition of the flora at both phylum and genus levels. Moreover, PEU significantly affected metabolism-related pathways such as tricarboxylic acid (TCA) cycle, fatty acid degradation, secondary bile acid biosynthesis, and others. ConclusionsTaken together, PEU significantly inhibits LPS-induced inflammation in vitro and CLP-induced sepsis in vivo. Further, its anti-inflammatory effect is independent of the TLR4/myD88/NF-{kappa}B pathway. In addition, PEU improves the intestinal flora imbalance at the early stage of sepsis.

pharmacology and toxicology↗

bioRxiv2024

Tabula Glycine: The whole-soybean single-cell resolution transcriptome atlas

Soybean (Glycine max) is an essential source of protein and oil with high nutritional value for human and animal consumption. To enhance our understanding of soybean biology, it is essential to have accurate information regarding the expression of each of its 55,897 protein-coding genes. Here, we present "Tabula Glycine", the soybean single-cell resolution transcriptome atlas. This atlas is composed of single-nucleus RNA-sequencing data of nearly 120,000 nuclei isolated from 10 different Glycine max organs and morphological structures comprising the entire soybean plant. These nuclei are grouped into 157 different clusters based on their transcriptomic profiles. Among genes, the pattern of activity of transcription factor genes is sufficient to define most cell types and their organ/morphological structure of origin, suggesting that transcription factors are key determinants of cell identity and function. This unprecedented level of resolution makes the Tabula Glycine a unique resource for the plant and soybean communities.

plant biology↗

bioRxiv2023

Viruses that 'infect' viruses: Cas12f1 and Cas9 gene drive in HSV1

Synthetic CRISPR-Cas9 gene drive has been developed as a potential tool to control harmful species. However, Cas9 gene drive faces high resistance rate and mitigation strategies developed so far are difficult to implement. Furthermore, studying the resistance to gene drive is time consuming and challenging in higher organisms. We here tackled these two challenges simultaneously by generating Cas9 and Un1Cas12f1 gene drive in a fast-replicating DNA virus, HSV1. We assessed the transmission dynamics and resistance formation through phenotypical staining and next-generation sequencing, and demonstrated that HSV1 supported fast and effective transmission of gene drives, and the Un1Cas12f1 gene drives yielded greater conversion and lower resistance than did the Cas9 gene drives. This positions the Un1Cas12f1 gene drive as a promising alternative, and HSV1 emerges as a dependable and swift platform for gene drive assessment. The gene drive viruses function like pathogens that specifically infect viruses, offering potential applications in attenuating viral infections.

microbiology↗

bioRxiv2023

ccTCM: a quantitative component and compound platform for promoting the research of traditional Chinese medicine

Traditional Chinese medicine (TCM) databases play a vital role in bridging the gap between TCM and modern medicine, as well as in promoting the popularity of TCM. Elucidating the bioactive ingredients of Chinese medicinal materials is key to TCM modernization and new drug discovery. However, one drawback of current TCM databases is the lack of quantitative data on the constituents of Chinese medicinal materials. Herein, we present ccTCM, a web-based platform designed to provide a component and compound-content-based resource on TCM and analysis services for medical experts. In terms of design features, ccTCM combines resource distribution, similarity analysis, and molecular-mechanism analysis to accelerate the discovery of bioactive ingredients in TCM. ccTCM contains 273 Chinese medicinal materials commonly used in clinical settings, covering 29 functional classifications. By searching and comparing, we finally adopted 2043 studies, from which we collected the compounds contained in each TCM with content greater than 0.001%, and a total of 1 449 were extracted. Subsequently, we collected 40767 compound-target pairs by integrating multiple databases. Taken together, ccTCM is a versatile platform for that can be used by TCM scientists to perform scientific and clinical TCM studies based on quantified ingredients of Chinese medicinal materials. ccTCM is freely accessible at http://www.cctcm.org.cn.

bioinformatics↗

bioRxiv2023

A parabrachial-hypothalamic parallel circuit governs cold defense in mice

Thermal homeostasis is vital for mammals and is controlled by brain neurocircuits. Remarkable advances have been made in understanding how neurocircuits centered in the hypothalamic preoptic area (POA), the brains thermoregulation center, control warm defense, whereas mechanisms by which the POA regulates cold defense remain unclear. Here, we confirmed that the pathway from the lateral parabrachial nucleus (LPB) to the POA, is critical for cold defense. Parallel to this pathway, we uncovered that a pathway from the LPB to the dorsomedial hypothalamus (DMH), namely the LPB[->]DMH pathway, is also essential for cold defense. Projection-specific blockings revealed that both pathways provide an equivalent and cumulative contribution to cold defense, forming a parallel circuit. Specifically, activation of the LPB[->]DMH pathway induced strong cold-defense responses, including increases in thermogenesis of brown adipose tissue (BAT), muscle shivering, heart rate, and physical activity. Further, we identified a subpopulation of somatostatin+ neurons in the LPB that target the DMH to promote BAT thermogenesis. Therefore, we reveal a parabrachial-hypothalamic parallel circuit in governing cold defense in mice. This not only enables resilience to hypothermia but also provides a scalable and robust network in heat production, reshaping our understanding of how neural circuits regulate essential homeostatic behaviors.

neuroscience↗

bioRxiv2022

Multiomics reveal that silk fibroin and sericin differentially potentiate the paracrine functions of mesenchymal stem cells and enhance tissue regeneration

Silk fibroin (SF) and sericin (SS), the two major proteins of silk, are attractive biomaterials that show great potential in regenerative medicine. However, their biochemical interactions with stem cells were not fully understood. Here, we employed multiomics to obtain a global view of the triggered cellular processes and pathways of MSCs by SF and SS. Integrated RNA-seq and proteomics revealed that SF and SS strongly enhanced the paracrine activity of MSCs through differentially activating integrin and glycolytic pathways, rather than directly regulating stem cell fate to initiate multiple but distinct biological processes in MSCs. Those specific paracrine signals of MSCs stimulated by SF and SS effectively promoted skin wound healing by influencing the behaviors of multiple resident cells in skin wound microenvironments. This study provides comprehensive and reliable insights into the cellular interactions with SF and SS, enabling future development of silk-based therapeutics for tissue engineering and stem cell therapy.

bioengineering↗

bioRxiv2022

Quality Control Framework of TCM Preparations based on Multi-type Fingerprints using a Source Proportion Estimation Model

Traditional Chinese Medicine (TCM) preparations have been widely used in clinical practice for the treatment of various diseases. The quality of TCM preparations is related to clinical efficacy and safety and is highly valued by researchers. The authenticity of TCM preparation can be guaranteed objectively by accurate quality control according to the composition. Here, we proposed a quality control framework of TCM preparations, which is based on multi-type fingerprints using the source proportion estimation model (SPEM). The high-performance liquid chromatography (HPLC) analysis and the high-throughput sequencing analysis are employed to acquire the chemical and taxonomic fingerprints of samples, respectively. The quality of TCM preparations among different manufacturers or batches is evaluated by using SPEM, which is an unsupervised method for source identification of TCM samples. Results showed the good performance of the quality control framework, for example, SPEM achieved a mean accuracy of 0.778 based on the ITS2 taxonomic fingerprint when differentiating manufacturer of BazhenYimu Wan pill. Applications of the quality control framework revealed the batch effect in TCM samples, and environmental factors, such as geography have a profound impact on the consistency of TCM preparations. In summary, this study is an exploration in the field of digital development of TCM preparations and provide a new insight to quantify the batch effect among different batches of TCM samples.

pharmacology and toxicology↗

bioRxiv2021

A novel widespread bacterial structure related to the flagellar type III secretion system

The flagellar type III secretion system (fT3SS) is a suite of membrane-embedded and cytoplasmic proteins responsible for building the bacterial flagellar motility machinery. Homologous proteins form the injectisome machinery bacteria use to deliver effector proteins into eukaryotic cells, and other family members have recently been reported to be involved in the formation of membrane nanotubes. Here we describe a novel, ubiquitous and evolutionarily widespread hat-shaped structure embedded in the inner membrane of bacteria, of yet-unidentified function, that is related to the fT3SS, adding to the already rich repertoire of this family of nanomachines.

microbiology↗

bioRxiv2021

Human Taste Cells Express ACE2: A Portal for SARS-CoV-2 Infection

Loss and changes in taste and smell are well-reported symptoms of SARS-CoV-2 infection. The virus targets cells for entry by high affinity binding of its spike protein to cell-surface angiotensin-converting enzyme-2 (ACE2). It was not known whether ACE2 is expressed on taste receptor cells (TRCs) nor if TRCs are infected directly. Using an in-situ hybridization (ISH) probe and an antibody specific to ACE2, it seems evident that ACE2 is present on a subpopulation of specialized TRCs, namely, PLC{beta}2 positive, Type II cells in taste buds in taste papillae. Fungiform papillae (FP) of a SARS-CoV-2+ patient exhibiting symptoms of COVID-19, including taste changes, were biopsied. Based on ISH, replicating SARS-CoV-2 was present in Type II cells of this patient. Therefore, taste Type II cells provide a portal for viral entry that predicts vulnerabilities to SARS-CoV-2 in the oral cavity. The continuity and cell turnover of the FP taste stem cell layer of the patient were disrupted during infection and had not fully recovered 6 weeks post symptom onset. Another patient suffering post-COVID-19 taste disturbances also had disrupted stem cells. These results indicate that a COVID-19 patient who experienced taste changes had replicating virus in their taste buds and that SARS-CoV-2 infection results in deficient stem cell turnover needed for differentiation into TRCs.

pathology↗

bioRxiv2021

A Weighted Network Analysis Framework for the Hourglass Effect - and its Application in the C. Elegans Connectome

Understanding hierarchy and modularity in natural as well as technological networks is of utmost importance. A major aspect of such analysis involves identifying the nodes that are crucial to the overall processing structure of the network. More recently, the approach of hourglass analysis has been developed for the purpose of quantitatively analyzing whether only a few intermediate nodes mediate the information processing between a large number of inputs and outputs of a network. We develop a new framework for hourglass analysis that takes network weights into account while identifying the core nodes and the extent of hourglass effect in a given weighted network. We use this framework to study the structural connectome of the C. elegans and identify intermediate neurons that form the core of sensori-motor pathways in the organism. Our results show that the neurons forming the core of the connectome show significant differences across the male and hermaphrodite sexes, with most core nodes in the male concentrated in sex-organs while they are located in the head for the hermaphrodite. Our work demonstrates that taking weights into account for network analysis framework leads to emergence of different network patterns in terms of identification of core nodes and hourglass structure in the network, which otherwise would be missed by unweighted approaches.

neuroscience↗