Biology subjects

Shi, D.

Publications and source records attributed to Shi, D..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

Cryo-ET of IgG bivalent binding on SARS-CoV-2 provides structural basis for antibody avidity

The bivalent nature of IgG enhances its neutralization potency against enveloped viruses; however, on-virion structural details of IgG bivalent binding with antigens remain elusive. Here we used cryo-ET to investigate how two potent IgGs P17 and S309 interact with S-trimers on the SARS-CoV-2 surface. We found that these antibodies exploit the mobility of S-trimers to form diverse bivalent binding patterns. P17 stabilizes S-trimers in a one-RBD-up conformation and gathers S-trimer into linear multimers within minutes, whereas S309 primarily forms circular S-trimer assemblies that extend into lattice-like structures. Additionally, both IgGs can facilitate inter-virion coupling through bivalent binding of opposing S-trimers. These findings provide a structural basis for understanding IgG avidity and offer insights for antibody engineering and vaccine design.

biophysics↗

bioRxiv2025

Boosting the detection of enhancer-promoter loops via novel normalization methods for chromatin interaction data

Accurately detecting enhancer-promoter loops from genome-wide interaction data, such as Hi-C, is crucial for understanding gene regulation. Current normalization methods, such as Iterative Correction and Eigenvector decomposition (ICE), are commonly used to remove biases in Hi-C data prior to chromatin loop detection. However, while structural or CTCF-associated loop signals are retained, enhancer-promoter interaction signals are often greatly diminished after ICE normalization and similar methods, making these regulatory loops harder to detect. To address this limitation, we developed Raichu, a novel method for normalizing chromatin contact data. Raichu identifies nearly twice as many chromatin loops as ICE, recovering almost all loops detected by ICE and revealing thousands of additional enhancer-promoter loops missed by ICE. With its enhanced sensitivity for regulatory loops, Raichu detects more biologically meaningful differential loops between conditions in the same cell type. Furthermore, Raichu performs consistently across different sequencing depths and platforms, including Hi-C, HiChIP, and single-cell Hi-C, making it a versatile tool for uncovering new insights into three- dimensional (3D) genomic organization and transcriptional regulation.

bioinformatics↗

bioRxiv2024

Heterogeneous endocrine cell composition defines human islet functional phenotypes

Phenotyping and genotyping initiatives within the Integrated Islet Distribution Program (IIDP), the largest source of human islets for research in the U.S., provide standardized assessment of islet preparations distributed to researchers, enabling the integration of multiple data types. Data from islets of the first 299 organ donors without diabetes, analyzed using this pipeline, highlights substantial heterogeneity in islet cell composition associated with hormone secretory traits, sex, reported race and ethnicity, genetically predicted ancestry, and genetic risk for type 2 diabetes (T2D). While and {beta} cell composition influenced insulin and glucagon secretory traits, the abundance of {delta} cells showed the strongest association with insulin secretion and was also associated with the genetic risk score (GRS) for T2D. These findings have important implications for understanding mechanisms underlying diabetes heterogeneity and islet dysfunction and may provide insight into strategies for personalized medicine and {beta} cell replacement therapy.

physiology↗

bioRxiv2024

PBAE-PEG based lipid nanoparticles for lung cell-specific gene delivery

Delivery of modified mRNA encapsulated in lipid nanoparticles, exemplified by their successful use in COVID-19 vaccination, provides a framework for treating various genetic and acquired disorders. Herein, we developed PEGylated(PBAE-PEG) and non-PEGylated(PBAE) PBAE with lipids 4A3-SC8/DOPE/cholesterol/DOTAP to form lipid nanoparticles (LNPs) for mRNA delivery into different types of pulmonary cells in vivo. PBAE-PEG/LNP were highly active in transfecting HEK293T cells and air-liquid interfaced H441 cells in vitro. PBAE-PEG/LNP were used to express Cre-recombinase after administration to mice by intravenous injection, resulting in high transfection levels in pulmonary vascular endothelial cells. Intratracheal injection of both PBAE-PEG/LNP and PBAE/LNPs resulted in efficient and selective transfection of lung epithelial cells, identified by the expression of stabilized Cre-recombinase mRNA in club cells and alveolar type 2 cells. PBAE-PEG/LNP were most effective in transfecting alveolar type 2 cells after intratracheal injection, while PBAE/LNPs administered intratracheally were more effective in transfecting secretory airway cells. Cre-mediated recombination was specific to lung epithelial cells after intratracheal administration. Likewise, intravenous administration resulted in selective transfection of endothelial cells but not other pulmonary cell types, indicating their failure to cross the pulmonary endothelial-to-epithelial barrier. Moreover, 5-methoxyuridine modified mRNA was more efficient than unmodified mRNA in vivo but not in vitro.

bioengineering↗

bioRxiv2024

Differential control of intestine function by genetically defined enteric neurons

The function of the intestine is regulated by direct innervation from a combination of enteric, sensory, and autonomic neurons. A central question in neurobiology is how these distinct peripheral neuron populations collectively control intestinal function. However, disambiguating the functions of intestine-innervating neuronal populations has been a challenge. Using intersectional genetic approaches in mice, we enable precise manipulations of defined neuronal populations within the intestinal tract. We examined enteric neurons, which represent the majority of intestine-innervating neurons, by genetically isolating neuronal subclasses, identifying their morphological specializations, and defining subclass-specific influences on intestinal functions. We further found that food consumption can be modulated by select enteric neuron populations via the spinal sensory afferent pathway. Taken together, the presented molecular genetic characterization of intestine-innervating neurons establishes a foundation for detailed studies of the enteric nervous system and its interactions with the broader neural networks of the body.

neuroscience↗

bioRxiv2023

Distinct neural signatures underlying information manipulation in working memory

Working memory is a core cognitive ability that supports both the maintenance and manipulation of information in mind to serve complex behavior. Previously, stimulus representation in memory maintenance has been observed in both voltage and alpha-band activity in electroencephalography (EEG). However, the exact function of these two neural signatures in working memory has remained elusive. Here we systematically examined this question by asking whether memory manipulation is supported by the same neural signatures as memory maintenance. Human participants either maintained a previously-seen spatial location, or manipulated the spatial location according to a mental rotation cue over a delay. Using multivariate distance-based decoding, we observed robust neural representations of maintained and manipulated locations in both low-frequency voltage and alpha-band oscillatory activity, suggesting that memory maintenance and manipulation are supported by multiple overlapping neural signatures in EEG. Yet, these neural signatures demonstrated distinct spatiotemporal dynamics: location representations in alpha-band activity were most evident in the posterior channels, while location representations in voltage were most evident in the more anterior, central channels. The temporal emergence of manipulated representation in central voltage also preceded that in posterior alpha-band activity, suggesting that voltage might carry stimulus-specific source signals originated internally from more anterior cortex, whereas alpha-band activity might reflect feedback signals in posterior cortex received from higher-order cortex. Lastly, while location representations in both signals could be compressed into a low-dimensional neural subspace, location representation in central voltage was higher-dimensional and underwent a representational transformation that exclusively predicted memory behavior. Together, these results highlight the crucial role of central voltage in memory manipulation, as well as offer direct experimental evidence supporting functional distinction between voltage and alpha-band oscillatory activity in EEG.

neuroscience↗

bioRxiv2023

Gut microbiota-derived gamma-aminobutyric acid from metformin treatment reduces hepatic ischemia/reperfusion injury through inhibiting ferroptosis.

Hepatic ischemia/reperfusion injury (HIRI) is a common and inevitable factor leading to poor prognosis in various liver diseases, making the outcomes of current treatments in clinic unsatisfactory. Metformin has been demonstrated to be beneficial to alleviate HIRI in recent studies, however, the underpinning mechanism remains unclear. In this study, we found metformin mitigates HIRI-induced ferroptosis through reshaped gut microbiota in mice, which was confirmed by the results of fecal microbiota transplantation (FMT) treatment but showed the elimination of the beneficial effects when gut bacteria were depleted using antibiotics. Detailedly, through 16S rRNA and metagenomic sequencing, we identified that the metformin-reshaped microbiota was characterized by the increase of gamma-aminobutyric acid (GABA) producing bacteria. This increase was further confirmed by the elevation of GABA synthesis key enzymes, glutamic acid decarboxylase (GAD) and putrescine aminotransferase (PAT), in gut microbes of metformin-treated mice and healthy volunteers. Furthermore, the benefit of GABA against HIRI-induced ferroptosis was demonstrated in GABA-treated mice. Collectively, our data indicate that metformin can mitigate HIRI-induced ferroptosis by reshaped gut microbiota, with GABA identified as a key metabolite.

microbiology↗

bioRxiv2023

Ferroptosis induced by phenolic compound-iron complex

Phenolic compounds are the most ubiquitously distributed pollutants, and are highly toxic to living organisms, however the detailed mechanism how phenols exert toxic effects remains elusive. Here,Escherichia coli and phloroglucinol are adapted as proxy to elucidate the molecular mechanism of phenols toxicity. We demonstrated that phloroglucinol complexed with iron and promoted the generation of hydroxyl radicals in Fenton reaction, leading to reducing power depletion and lipid peroxidation, and further leading to ferroptosis-like cell death ofE. coli. This ferroptotic death can be triggered by various phenols in diverse organisms, from bacteria to mammalian cells. Furthermore, we demonstrated that phloroglucinol-induced ferroptosis suppressed tumor growth in mice effectively, indicating phloroglucinol as promising drug for therapy-resistant cancers. Its also discovered that repression of this ferroptosis-like cell death benefited microbial degradation or production of desired phenolic compounds, showing great application potential in biotechnology field.

microbiology↗

bioRxiv2023

Evaluating possible maternal effect lethality of Naa10 knockout mice, and modulation of phenotypes for embryonic and neonatal lethality by genetic background and environment

Amino-terminal (Nt-) acetylation (NTA) is a common protein modification, affecting approximately 80% of all human proteins. The human essential X-linked gene, NAA10, encodes for the enzyme NAA10, which is the catalytic subunit in the N-terminal acetyltransferase A (NatA) complex. There is extensive genetic variation in humans with missense, splice-site, and C-terminal frameshift variants in NAA10. In mice, Naa10 is not an essential gene, as there exists a paralogous gene, Naa12, that substantially rescues Naa10 knockout mice from embryonic lethality, whereas double knockouts (Naa10-/Y Naa12-/-) are embryonic lethal. However, the phenotypic variability in the mice is nonetheless quite extensive, including piebaldism, skeletal defects, small size, hydrocephaly, hydronephrosis, and neonatal lethality. Here we replicate these phenotypes with new genetic alleles in mice, but we demonstrate their modulation by genetic background and environmental effects. We cannot replicate a prior report of "maternal effect lethality" for heterozygous Naa10-/X female mice, but we do observe a small amount of embryonic lethality in the Naa10-/ymale mice on the inbred genetic background in this different animal facility.

genetics↗

bioRxiv2023

A DRG genetic toolkit reveals molecular, morphological, and functional diversity of somatosensory neuron subtypes

Mechanical and thermal stimuli acting on the skin are detected by morphologically and physiologically distinct sensory neurons of the dorsal root ganglia (DRG). Achieving a holistic view of how this diverse neuronal population relays sensory information from the skin to the central nervous system (CNS) has been challenging with existing tools. Here, we used transcriptomic datasets of the mouse DRG to guide development and curation of a genetic toolkit to interrogate transcriptionally defined DRG neuron subtypes. Morphological analysis revealed unique cutaneous axon arborization areas and branching patterns of each subtype. Physiological analysis showed that subtypes exhibit distinct thresholds and ranges of responses to mechanical and/or thermal stimuli. The somatosensory neuron toolbox thus enables comprehensive phenotyping of most principal sensory neuron subtypes. Moreover, our findings support a population coding scheme in which the activation thresholds of morphologically and physiologically distinct cutaneous DRG neuron subtypes tile multiple dimensions of stimulus space.

neuroscience↗

bioRxiv2023

Strigolactones optimise plant water usage by modulating vessel formation

Wood formation is fundamental for the remarkable growth of plant bodies by continuously providing cells for long-distance transport of water and nutrients1-3. Vessel elements, the water transporting units within woody tissues, are generated from a cylindrical domain of cambium stem cells (CSCs) producing different vascular cell types in a bidirectional manner4-6. However, knowledge on the regulation of CSC activity is limited with unclear cell fate trajectories as the most obscure aspect in this context. Here, via revealing transcriptome signatures of CSCs and their derivatives with single cell resolution in Arabidopsis thaliana, we discover that the strigolactone (SL) signalling pathway modulates cell type composition in vascular tissues and thereby increases drought resistance. In particular, we find that SL signalling negatively regulates vessel element formation and thereby plant water usage. SL signalling is generally associated with differentiating vascular tissues but low in developing vessels and in CSCs implying a local role during fate decisions in CSC-derived cells. Highlighting the importance of vascular tissue composition for the overall plant water balance, alteration of vessel element formation has a direct impact on transpiration rates through leaf stomata. Our results demonstrate the importance of structural alignment of water transporting tissues to unstable water regimes and provide perspectives for a long-term modulation of drought resistance in plants.

plant biology↗

bioRxiv2023

Generative Molecular Design and Experimental Validation of Selective Histamine H1 Inhibitors

Generative molecular design (GMD) is an increasingly popular strategy for drug discovery, using machine learning models to propose, evaluate and optimize chemical structures against a set of target design criteria. We present the ATOM-GMD platform, a scalable multiprocessing framework to optimize many parameters simultaneously over large populations of proposed molecules. ATOM-GMD uses a junction tree variational autoencoder mapping structures to latent vectors, along with a genetic algorithm operating on latent vector elements, to search a diverse molecular space for compounds that meet the design criteria. We used the ATOM-GMD framework in a lead optimization case study to develop potent and selective histamine H1 receptor antagonists. We synthesized 103 of the top scoring compounds and measured their properties experimentally. Six of the tested compounds bind H1 with Kis between 10 and 100 nM and are at least 100-fold selective relative to muscarinic M2 receptors, validating the effectiveness of our GMD approach.

pharmacology and toxicology↗

bioRxiv2023

Effects of structural complexity and water depth on the juvenile blue crab Callinectes sapidus in a simulated salt marsh mesocosm

The blue crab (Callinectes sapidus) is ecologically and economically important in Chesapeake Bay. Nursery habitats, which disproportionately contribute individuals to the adult segment of populations, are essential to blue crab population dynamics. Spartina alterniflora salt marshes are productive but fragmented intertidal nursery habitats which may serve as a refuge from predation for juvenile blue crabs. However, the effects of various characteristics of salt marshes on nursery metrics, such as survival, have not been quantified. Using mesocosm experiments, we examined the effects of shoot density and water depth on juvenile blue crab survival using adult blue crabs as predators. Survival increased significantly with shoot density, whereas water depth did not affect survival. Thus, in contrast to several previous studies, water depth did not influence survival of juvenile blue crabs, possibly due to different environmental conditions from prior studies. These findings indicate that salt marsh structural complexity enhances juvenile survival, and that the beneficial effect of shallow water on juvenile survival differs by environmental conditions.

ecology↗

bioRxiv2022

Network-based hub biomarker discovery for glaucoma

Glaucoma is an optic neuropathy, and the leading cause of irreversible blindness worldwide. However, the early detection of glaucoma remains challenging as chronic forms of glaucoma remain largely asymptomatic until considerable irreversible visual field deficits have ensued. Thus, biomarkers that facilitate early diagnosis and treatment for patients with a high risk of progression are critical. Network medicine approaches can be useful in identifying key relationships and important biomolecules for complex diseases. In this paper, we identified several hub biomarkers/drug targets for the diagnosis, treatment and prognosis for glaucoma and explored their associations for glaucoma based on human disease-biomarker and disease-target-drug networks. These results were verified by text-mining and genomic/epidemiology data. We also predicted the new application of BMP1 and MMP9 to diagnose glaucoma and confirm the theory of hub biomarkers with multiple clinical applications. Further, relevant pivotal pathways (regulation of the multicellular organismal process, regulation of localisation, and cytoplasmic vesicle for biomarkers; signal transduction and developmental process for targets) for these hub biomolecules were discovered, which may be foundations for future biomarker and drug target prediction for glaucoma. In conclusion, based on complex networks, hub biomolecules, essential pathways, and close diseases were identified for glaucoma in diagnosis, treatment and prognosis.

bioinformatics↗

bioRxiv2022

Model Choice Metrics to Optimize Profile-QSAR Performance

BackgroundPredicting molecular activity against protein targets is difficult because of the paucity of experimental data. Approaches like multitask modeling and collaborative filtering seek to improve model accuracy by leveraging results from multiple targets, but are limited because different compounds are measured with different assays, leading to sparse data matrices. Profile-QSAR (pQSAR) 2.0 addresses this problem by fitting a series of partial least squares models for each target, using as features the predictions from single-task models on the remaining targets. This method has been shown to produce better results than single task and multitask models. However, the factors determining the success of pQSAR 2.0 have as yet not been characterized. In this paper we examine the experimental conditions that lead to better pQSAR models. We limit the amount of data available to the method by retraining with decreasing amounts of data and explore the models ability to generalize to compounds that have never been assayed. Finally, we look at the properties of training data needed to demonstrate pQSAR improvement. ResultsWe apply pQSAR 2.0 on a collection of GPCR and safety targets collected from Drug Target Commons, ExcapeDB, and ChEMBL. We found that pQSAR improved models on 34 of the 149 assays selected. In the other 115 assays, single task random forests offered better performance. There are many factors that contribute to an increase in performance, but the main factor is compound assay coverage. The pQSAR model improves when more compounds are measured in multiple assays. ConclusionIt is necessary to consider the available data before applying pQSAR. Successful pQSAR models require a profile made of correlated targets that share compounds with other assays. This technique is best used when experimental data is available as random forest regressors often do not generalize well enough for virtual drug search applications.

bioinformatics↗

bioRxiv2022

Hepatic AMPK activation in response to dynamic REDOX balance is a biomarker of exercise to improve blood glucose control

Antioxidant intervention is considered to inhibit reactive oxygen species (ROS) and alleviates hyperglycemia. Paradoxically, moderate exercise can produce ROS to improve diabetes. The exact redox mechanism of these two different approaches remains largely unclear. Here, by comparing exercise and antioxidants intervention on type 2 diabetic rats, we found moderate exercise upregulated compensatory antioxidant capability and reached a higher level of redox balance in the liver. In contrast, antioxidant intervention achieved a low-level redox balance by inhibiting oxidative stress. Both of these two interventions could promote glycolysis and aerobic oxidation mediated by hepatic AMPK activation, ameliorating diabetes. During exercise, different levels of ROS generated by exercise have differential regulations on the activity and expression of hepatic AMPK. Moderate exercise-derived ROS promoted hepatic AMPK glutathionylation activation. However, excess exercise increased oxidative damage, and inhibited the activity and expression of AMPK. Overall, our results illustrate that both exercise and antioxidant intervention improve blood glucose in diabetes by promoting redox balance, despite the levels of redox balance are different. Moreover, the activation and expression of AMPK could act as a biomarker to reflect the effective treatment range for diabetes. This finding provides theoretical evidence for the precise regulation of diabetes by antioxidants and exercise.

biochemistry↗

bioRxiv2022

In situ architecture and membrane fusion of SARS-CoV-2 Delta variant

Among the current five Variants of Concern, infections caused by the SARS-CoV-2 B.1.617.2 (Delta) variant are often associated with the greatest severity. Despite recent advances on the molecular basis of elevated pathogenicity using recombinant proteins, architecture of intact Delta virions remains veiled. Moreover, molecular evidences for the detailed mechanism of S-mediated membrane fusion are missing. Here we reported the in situ structure and distribution of S on the authentic Delta variant, and discovered invagination in the distinctive Delta architecture. We also captured fusion snapshots from the virus-virus fusion events, provided structural evidences for Deltas attenuated dependency on cellular factors for fusion activation, and proposed a model of S-mediated membrane fusion. Site-specific glycan analysis revealed increased oligomannose-type glycosylation of native Delta S over that of the Wuhan-Hu-1 S. Together, these results disclose distinctive factors of Delta being the most virulent SARS-CoV-2 variant. In BriefCryo-ET of intact SARS-CoV-2 Delta variant revealed its distinctive architecture and captured snapshots of its membrane fusion in action.

biophysics↗

bioRxiv2021

5-aminolevulinic acid-photodynamic therapy ameliorates cutaneous granuloma by killing drug-resistant Mycobacterium marinum

BackgroundAlthough 5-aminolevulinic acid photodynamic therapy (ALA-PDT) has been extensively used to treat to various skin disease, the application of ALA-PDT on cutaneous infection caused by Mycobacterium marinum (M. marinum), especially by drug-resistant M. marinum is still not clear. ObjectivesWe evaluated the therapeutic efficacy of ALA-PDT on M. marinum in a mouse infection model and tested its killing effect on M. marinum in vitro. Finally, we investigated the clinical effect of ALA-PDT in treating cutaneous granuloma caused by drug-resistant M. marinum. Materials and methodsWe isolated total 9 strains of M. marinum from patients and confirmed by morphological and molecular approaches. The strains were identified by anti-mycobacterial susceptibility. Then we evaluated the killing effect of ALA-PDT on M. marinum in vitro and in a mouse model to observe the antimycobacterial effect of ALA-PDT. Therapeutic efficacy was further assessed in patients with cutaneous granuloma caused by drug-resistant M. marinum. ResultsWe demonstrated that the ALA-PDT directly killed M. marinum in vitro. The paws cutaneous lesions of mice caused by M. marinum were fully recovered 2 weeks after ALA-PDT treatment. However, there was no significant difference for immune cells in peripheral blood before and after ALA-PDT therapy. Finally, ALA-PDT proved to be effective in treat two patients with cutaneous infection caused by drug-resistant M. marinum. ConclusionsThe results suggest that ALA-PDT is effective in treating M. marinum cutaneous infections by killing M. marinum directly, independent of systemic immune responses. The data highlight the ALA-PDT as a promising therapeutic choice for M. marinum infection, especially for drug-resistant strains.

microbiology↗