Biology subjects

Zhang, Z.

Publications and source records attributed to Zhang, Z..

At least 649 records · Page 36Linked to original sources

bioRxiv2024

Longevity or Well-being? A Dual-Dimension Structure of Neuroticism

The development of personality traits is often viewed as evolutionarily adaptive. Current neuroticism research, however, predominantly highlights its negative health impacts, neglecting its potential evolutionary advantages. We propose that neuroticisms inter-individual variability can be structured into two distinct geometric dimensions. One, named the Emotional Reactivity-Instability/Distress Spectrum (ERIS), correlates strongly with longevity and is associated with chronic diseases and risk-averse lifestyle. This dimension is underpinned by evolutionarily conserved subcortical brain regions and genes. The other, resembling the overall neuroticism score, is primarily linked to mental and stress-related disorders, as well as life satisfaction. It involves higher-order emotional brain regions and is genetically enriched in human-accelerated regions. Collectively, these dimensions represent a dual-strategy personality framework that optimizes survival and well-being, with the former being evolutionarily conservative and the latter potentially a unique human adaptation.

neuroscience↗

bioRxiv2024

Modulation Of SUDEP By Central Serotonergic Cooperating with Noradrenergic Circuits: A Synergistic-Dependent Manner

Sudden unexpected death in epilepsy (SUDEP) is the leading cause of death in refractory epilepsy patients. Despite previous accumulating evidence has shown that seizure-induced respiratory arrest (S-IRA) may play the main contributor to SUDEP as an initiating event preeminent cause of mortality, the specific underlying mechanism of action remains unclear. Based on our previous work, serotonin (5-HT) signaling in the dorsal raphe nucleus (DRN) is strongly implicated in S-IRA in animal models, including the DBA/1 mice, on the meanwhile, norepinephrine (NE) neurons of the locus coeruleus (LC) also plays a vital role in regulating respiratory function on its own. Superficially, monoaminergic neuron, as important neurotransmitters in the central nervous system, have similar modes of action in the maintenance of nervous system balance, and each of them has a regulatory effect on SUDEP. However, it remains to be investigated whether monoaminergic neuron family (NE and 5-HT) are related in the mechanism of regulating SUDEP, what is even more curious is whether the two are intrinsically linked. Thus, we hypothesize neural mechanism of central noradrenergic and serotonergic circuits in modulating SUDEP in a synergistic-dependent manner, this endeavor will culminate in a significant breakthrough in elucidating the precise mechanism of action underlying SUDEP. In our study, we will use chemogenetics, optogenetics, calcium signal recording, and bidirectional tracing to explore the internal mechanism of DR-LC regulating the occurrence of SUDEP, and by specifically injecting 5-HT2AR antagonist Ketanserin (KET) and/or NE-1R antagonist Prazosin into the pre-Botzinger complex (PBC), it was finally elucidate that the DR-LC-PBC network can effectively reduce the incidence of SIRA. We firstly proposed a powerful target for exploring the reduction of the incidence of SUDEP, which has great clinical translation potential.

neuroscience↗

bioRxiv2024

AlphaFold Model Quality Self-Assessment Improvement Via Deep Graph Learning

In the past several years significant advances have been made in the field of deep-learning based computational modeling of proteins, with DeepMinds AlphaFold2 being among the most prominent. Alongside the atom coordinates, these computationally modeled protein structures typically contain self-confidence metrics that can be used to gauge the relative modeling quality of individual residues, or the protein as a whole. Unfortunately, these scores are not always accurate, and may sometimes annotate poorly modeled regions of the protein as high confidence. Here, we introduce EQA-Fold to address this problem. EQA-Fold overhauls the LDDT prediction head of AlphaFold to provide more accurate self-confidence scores. We show that EQA-Fold is able to provide more accurate self-confidence scores than the standard AlphaFold architectures, as well as recent Model Quality Assessment protocols.

bioinformatics↗

bioRxiv2024

Dual modes of DNA N6-methyladenine maintenance by distinct methyltransferase complexes

Stable inheritance of DNA N6-methyladenine (6mA) is crucial for its biological functions in eukaryotes. Here, we identify two distinct methyltransferase (MTase) complexes, both sharing the catalytic subunit AMT1, but featuring AMT6 and AMT7 as their unique components, respectively. While the two complexes are jointly responsible for 6mA maintenance methylation, they exhibit distinct enzymology, DNA/chromatin affinity, genomic distribution, and knockout phenotypes. AMT7 complex, featuring high MTase activity and processivity, is connected to transcription-associated epigenetic marks, including H2A.Z and H3K4me3, and is required for the bulk of maintenance methylation. In contrast, AMT6 complex, with reduced activity and processivity, is recruited to initiate maintenance methylation immediately after DNA replication. These two complexes coordinate in maintenance methylation. By integrating signals from both replication and transcription, this mechanism ensures the faithful and efficient transmission of 6mA as an epigenetic mark in eukaryotes. Significance statementDNA N6-methyladenine (6mA) has recently been recognized as an epigenetic mark in eukaryotes. The stable inheritance of 6mA is essential for its biological functions. However, the precise mechanisms by which 6mA patterns are faithfully and efficiently transmitted remain largely unknown. Here, we have identified two distinct 6mA methyltransferase (MTase) complexes and elucidated their coordinated role in maintenance methylation. This dual- complex mechanism ensures rapid and accurate methylation at newly replicated loci with proper transcription-associated epigenetic marks.

molecular biology↗

bioRxiv2024

Normalization strategies for lipidome data in cell line panels

Sample collection can significantly affect measurements of relative lipid concentrations in cell line panels, hiding intrinsic biological properties of interest between cell lines. Most quality control steps in lipidomic data analysis focus on controlling technical variation. Correcting for the total amount of biological material remains an additional challenge for cell line panels. Here, we investigated how we can normalize lipidomic data acquired from multiple cell lines to correct for differences in sample biomass. We studied how commonly used data normalization and transformation steps during analysis influenced the resulting lipid data distributions. We compared normalization by biological properties such as cell count or total protein concentration, to statistical and data-based approaches, such as median, mean, or probabilistic quotient-based normalization and used intraclass correlation to estimate how similarity between replicates changed after normalization. Normalizing lipidomic data by cell count improved similarity between replicates, but only for a study with cell lines with similar morphological phenotypes. For cell line panels with multiple morphologies collected over a longer time, neither cell count nor protein concentration was sufficient to increase the similarity of lipid abundances between replicates of the same cell line. Data-based normalizations increased these similarities, but also created artifacts in the data caused by a bias towards the large and variable lipid class of triglycerides. This artifact was reduced by normalizing for the abundance of only structural lipids. We conclude that there is a delicate balance between improving the similarity between replicates and avoiding artifacts in lipidomic data and emphasize the importance of an appropriate normalization strategy in studying biological phenomena using lipidomics.

bioinformatics↗

bioRxiv2024

SlNAP2 promoted fruit ripening by directly binding the ACS2 promoter and interacting with EIL3

The ripening process of tomato fruit is affected by a variety of environmental factors and genetic regulators. NAC transcription factors (TFs) function in a multitude of biological processes, while the current knowledge on the participation of NAC TFs in the regulatory network of fruit ripening is relatively limited. In this study, we isolated a NAC TFs, NAP2, which acts as a positive transcription activator in tomato fruit ripening. We also observed a notable delay in the ripening process of SlNAP2 silenced and knockout mutant fruit. In particular, ethylene production was obviously inhibited in SlNAP2 mutant fruit. Y1H and DLR assays showed that SlNAP2 directly binds to the promoter of SlACS2 and activates its transcriptional activity. Furthermore, SlNAP2 and SlEIL3 physically interaction was demonstrated by yeast two-hybrid (Y2H), luciferase complementation (LUC), bimolecular fluorescence complementation (BiFC) and coimmunoprecipitation analysis (CoIP) assays. Meanwhile, the pigment content, firmness and the transcript levels of genes associated with carotenoid and chlorophyll metabolism and cell wall metabolism were also potentially affected by the SlNAP2 deletion; however, it has remained unclear whether these genes are also directly regulated by SlNAP2. Therefore, our findings indicate that SlNAP2 directly binds to SlACS2 promoter to activate its expression and promote ethylene generation, which in turn interacts with EIL3 to enhance the function of ethylene in tomato fruit ripening. Collectively, our data contribute to understanding the interaction of NAC TFs and ethylene in tomato fruit ripening, thereby enhancing our knowledge of the ripening regulatory network that governs tomato fruit maturation.

biochemistry↗

bioRxiv2024

Origin and stepwise improvement of vertebrate lungs

Lungs, essential for terrestrial vertebrates and present in bony fishes but absent in cartilaginous fishes, provide an ideal model for studying organ origination. Our study analyzed single-cell RNA sequencing data from mature and developing vertebrate lungs, revealing substantial similarities in cell composition, developmental trajectories and gene expression pattern across species. Notably, most lung-related genes are also present in cartilaginous fishes, indicating that gene presence alone does not guarantee lung development. We identified thousands of lung regulatory elements specific to bony fishes, with higher concentrations around genes such as tbx4 and the hoxb gene cluster. These regulatory changes might contribute to lung emergence as well as the unique co-expression patterns in lung epithelial cells, such as those related to pulmonary surfactants and cell morphology. Our research also revealed that AT1 cells are specific to mammals, and we identified a mammal-specific gene, sfta2. Knockout experiments demonstrated that sfta2 deletion causes severe respiratory defects in mice, underscoring its critical role in specialized mammalian lungs. In conclusion, our results demonstrate that the origin and evolution of lungs are driven by a complex interplay of regulatory network modifications and the emergence of new genes, underscoring the multifaceted nature of organ evolution.

evolutionary biology↗

bioRxiv2024

Microglia-specific transduction via AAV11 armed with IBA1 promoter and miRNA-9 targeting sequences

Microglia, as resident immune cells in the central nervous system (CNS), are closely related to human health and the pathogenesis of various CNS diseases, making them compelling targets for therapeutic interventions. However, functional and therapeutic studies of microglia remain significant challenges largely due to the lack of tools capable of efficiently and specifically transducing microglia. Herein, we evaluated the specificity and efficiency of various adeno-associated virus (AAV) vectors armed with the mIBA1 promoter and miRNA-9 targeting sequences in transducing microglia within the caudate putamen (CPu) brain region, and found that AAV11 mediates more specific and efficient transduction of microglia. Subsequently, we further demonstrated that AAV11 also exhibits high transduction specificity for microglia across various brain areas and within the spinal cord. Finally, by reducing the injection dosage, we employed AAV11 for sparse labeling of microglia. This work provides a promising tool for advancing both the functional investigation and therapeutic targeting of microglia.

neuroscience↗

bioRxiv2024

Detecting latent gene-environment interaction when analyzing binary traits

In genome-wide association studies (GWAS), it is desirable to test for interactions (GxE) between single-nucleotide polymorphisms (SNPs,Gs) and environmental variables (Es). However, directly accounting for interaction is often infeasible, because E is latent. For quantitative traits (Y) that are approximately normally distributed, it has been shown that indirect testing on GxE can be done by testing for heteroskedasticity of Y between genotypes. However, when traits are binary, the existing methodology based on testing the heteroskedasticity of the trait across genotypes cannot be generalized. In this paper, we propose an approach to indirectly test GxE for binary traits based on the non-additive effect G, and subsequently propose a joint test that accounts for the main and interaction effects of each SNP during GWAS. We illustrate the statistical features including type-I-error control and power of the proposed method through extensive numerical studies. Applying our method to the UK Biobank dataset, we showcase the practical utility of the proposed method, revealing SNPs and genes with strong potential for latent interaction effects.

genetics↗

bioRxiv2024

Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage

Cells must adopt flexible regulatory strategies to make decisions regarding their fate, including differentiation, apoptosis, or survival in the face of various external stimuli. One key cellular strategy that enables these functions is stochastic gene expression programs. However, understanding how transcriptional bursting, and consequently, cell fate, responds to DNA damage on a genome-wide scale poses a challenge. In this study, we propose an interpretable and scalable inference framework, DeepTX, that leverages deep learning methods to connect mechanistic models and scRNA-seq data, thereby revealing genome-wide transcriptional burst kinetics. This framework enables rapid and accurate solutions to transcription models and the inference of transcriptional burst kinetics from scRNA-seq data. Applying this framework to several scRNA-seq datasets of DNA-damaging drug treatments, we observed that fluctuations in transcriptional bursting induced by different drugs was associated with distinct fate decisions: IdU treatment was associated with differentiation in mouse embryonic stem cells by increasing the burst size of gene expression, while low- and high-dose 5FU treatments in human colon cancer cells were associated with changes in burst frequency that corresponded to apoptosis- and survival-related fate, respectively. Together, these results show that DeepTX enables genome-wide inference of transcriptional bursting from single-cell transcriptomics data and can generate hypotheses about how bursting dynamics relate to cell fate decisions.

systems biology↗

bioRxiv2024

Acute rapamycin treatment reveals novel mechanisms of behavioral, physiological, and functional dysfunction in a maternal inflammation mouse model of autism and sensory over-responsivity

Maternal inflammatory response (MIR) during early gestation in mice induces a cascade of physiological and behavioral changes that have been associated with autism spectrum disorder (ASD). In a prior study and the current one, we find that mild MIR results in chronic systemic and brain inflammation, mTOR pathway activation, mild brain overgrowth followed by regionally specific volumetric changes, sensory processing dysregulation, and social and repetitive behavior abnormalities. Prior studies of rapamycin treatment in autism models have focused on chronic treatments that alter or prevent physical brain changes. Here, we have focused on the acute effects of rapamycin to uncover novel mechanisms of dysfunction related to mTOR pathway signaling. We find that within 2 hours, rapamycin treatment could rapidly rescue neuronal hyper-excitability, seizure susceptibility, functional network connectivity and brain community structure, repetitive behaviors, and sensory over-responsivity in adult offspring with persistent mild brain overgrowth. These CNS-mediated effects are also associated with alteration of the expression of several ASD-, ion channel-, and epilepsy-associated genes in the same time frame. Reduction of microglia with CSF1R inhibitors or inhibition of NADPH oxidase in young animals reduces the development of some of the behavioral phenotypes, but neither is as effective as acute mTOR inhibition. Our findings indicate that mTOR dysregulation in MIR offspring is a key contributor to various levels of brain dysfunction. However, we demonstrate that the adult MIR brain is also amenable to rapid normalization of these functional changes which results in the rescue of both core and comorbid ASD-like behaviors in adult animals without requiring long-term physical alterations to the brain. Restoring excitatory/inhibitory imbalance and sensory functional network modularity may therefore be important targets for therapeutically addressing both primary sensory and compensatory repetitive behavior phenotypes.

neuroscience↗

bioRxiv2024

Rational Design of a Flavoenzyme for Aerobic Nicotine Catabolism

Enzymatic therapy with nicotine-degrading enzyme is a new strategy in treating nicotine addiction, which can reduce nicotine concentrations and weaken withdrawal in the rat model. However, when O2 is used as the electron acceptor, no satisfactory performance has been achieved with one of the most commonly studied and efficient nicotine-catabolizing enzymes, NicA2. To obtain more efficient nicotine-degrading enzyme, we rationally designed and engineered a flavoenzyme Pnao, which shares high structural similarity with NicA2 (RMSD = 1.143 [A]) and efficiently catalyze pseudooxynicotine into 3-succinoyl-semialdehyde pyridine using O2. Through amino acid alterations with NicA2, five Pnao mutants were generated, which can degrade nicotine in Tris-HCl buffer and retained catabolic activity on its natural substrate. Nicotine-1-N-oxide was identified as one of the reaction products. Four of the derivative mutants showed activity in rat serum and Trp220 and Asn224 were found critical for enzyme specificity. Our findings offer a novel avenue for research into aerobic nicotine catabolism and provides a promising method of generating additional nicotine-catalytic enzymes.

molecular biology↗

bioRxiv2024

Omicron-specific ultra-potent SARS-CoV-2 neutralizing antibodies targeting the N1/N2 loop of Spike N-terminal domain

A multitude of functional mutations continue to emerge on the N-terminal domain (NTD) of the spike protein in SARS-CoV-2 Omicron subvariants. Understanding the immunogenicity of Omicron NTD and the properties of antibodies elicited by it is crucial for comprehending the impact of NTD mutations on viral fitness and guiding vaccine design. In this study, we find that most of NTD-targeting antibodies isolated from individuals with BA.5/BF.7 breakthrough infection (BTI) are ancestral (wildtype or WT)-reactive and non-neutralizing. Surprisingly, we identified five ultra-potent neutralizing antibodies (NAbs) that can only bind to Omicron but not WT NTD. Structural analysis revealed that they bind to a unique epitope on the N1/N2 loop of NTD and interact with the receptor-binding domain (RBD) via the light chain. These Omicron-specific NAbs achieve neutralization through ACE2 competition and blockage of ACE2-mediated S1 shedding. However, BA.2.86 and BA.2.87.1, which carry insertions or deletions on the N1/N2 loop, can evade these antibodies. Together, we provided a detailed map of the NTD-targeting antibody repertoire in the post-Omicron era, demonstrating their vulnerability to NTD mutations enabled by its evolutionary flexibility, despite their potent neutralization. These results highlighted the importance of considering the immunogenicity of NTD in vaccine design. Author SummaryCOVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to be a major global public health concern four years after its emergence. The N-terminal domain (NTD) is a critical component of the spike glycoprotein, which is pivotal for SARS-CoV-2 cellular entry and serves as a primary target for antibody therapeutics and vaccine development. Characterizing the properties of antibodies elicited by NTD of Omicron sublineages is crucial for understanding viral evolution and guiding vaccine design. Here, we show that Omicron infection after vaccination induces majorly non-neutralizing NTD antibodies. Still, we identified a class of ultra-potent neutralizing antibodies (NAbs) which specifically bind to the NTD of Omicron sublineages. These NAbs neutralize the virus by competing with ACE2 and blocking ACE2-mediated S1 shedding. Structural analyses reveal that these antibodies target a unique epitope on the N1/N2 loop of NTD, and intriguingly interact with the receptor-binding domain (RBD) of spike glycoprotein. This class of NAbs with the special binding pattern, are escaped by BA.2.86 and BA.2.87.1 sublineages, shedding light on the role of recently emerged mutations in the N1/N2 loop of NTD. Our findings provide fresh insights into the immunogenicity of Omicron NTD, highlighting its capacity for antibody evasion due to its evolutionary flexibility. This underscores the importance of carefully considering the NTD component in vaccine design.

immunology↗

bioRxiv2024

TgATG9 is required for autophagosome biogenesis and maintenance of chronic infection in Toxoplasma gondii

Toxoplasma gondii is a ubiquitous protozoan parasite that can reside long-term within hosts as intracellular tissue cysts comprised of chronic stage bradyzoites. To perturb chronic infection requires a better understanding of the cellular processes that mediate parasite persistence. Macroautophagy/autophagy is a catabolic and homeostatic pathway that is required for T. gondii chronic infection, although the molecular details of this process remain poorly understood. A key step in autophagy is the initial formation of the phagophore that sequesters cytoplasmic components and matures into a double-membraned autophagosome for delivery of the cargo to a cells digestive organelle for degradative recycling. While T. gondii appears to have a reduced repertoire of autophagy proteins, it possesses a putative phospholipid scramblase, TgATG9. Through structural modeling and complementation assays, we show herein that TgATG9 can partially rescue bulk autophagy in atg9{Delta} yeast. We demonstrated the importance of TgATG9 for proper autophagosome dynamics at the subcellular level using three-dimensional live cell lattice light sheet microscopy. Conditional knockdown of TgATG9 in T. gondii after bradyzoite differentiation resulted in markedly reduced parasite viability. Together, our findings provide insights into the molecular dynamics of autophagosome biogenesis within an early-branching eukaryote and pinpoint the indispensable role of autophagy in maintaining T. gondii chronic infection.

microbiology↗

bioRxiv2024

Structural insights into the in situ assembly of clustered protocadherin γB4

Clustered protocadherins (cPcdhs) belong to the cadherin superfamily and play important roles in neural development. cPcdhs can mediate homophilic adhesion and lead to self-avoidance and tiling by giving neurons specific identities in vertebrates. Structures and functions of cPcdhs have been studied extensively in the past decades, but the mechanisms behind the functions have not been fully understood. Here we investigate the in situ assembly of cPcdh-{gamma}B4, a member in the {gamma} subfamily of cPcdhs, by electron tomography and find that the full length cPcdh-{gamma}B4 does not show regular organization at the adhesion interfaces. By contrast, cPcdh-{gamma}B4 lacking the intracellular domain can generate an ordered zigzag pattern between cells and the cis interacting mode is different from the crystal packing of the ectodomain. We also identify the residues on the ectodomain that might be important for the zigzag pattern formation by mutagenesis. Furthermore, truncation mutants of the intracellular domain of cPcdh-{gamma}B4 reveal different assembly patterns between cell membranes, suggesting that the intracellular domain plays a crucial role in the intermembrane organization of cPcdh-{gamma}B4. Taken together, these results suggest both ectodomain and intracellular domain regulate the in situ assembly of cPcdh-{gamma}B4 at the adhesion interfaces, thereby providing mechanistic insights into the functional roles of cPcdhs during neuronal wiring.

biophysics↗

bioRxiv2024

Spatial organization of PI3K-PI(3,4,5)P3-AKT signaling by focal adhesions

The class I PI3K-AKT signaling pathway is the master regulator of cell survival, growth, and proliferation, and among the most frequently mutated pathways in cancer. However, where and how the PI3K-AKT signaling is spatially activated and organized in mammalian cells remain poorly understood. Here, we identified focal adhesions (FAs) as the subcellular signaling hubs organizing the activation of PI3K-PI(3,4,5)P3-AKT signaling in mammalian cells. We found that class IA PI3Ks are preferentially and dynamically recruited to FAs for activation, resulting in localized production of the critical signaling lipid PI(3,4,5)P3 around FAs. As the effector protein of PI(3,4,5)P3, AKT molecules are dynamically recruited around FAs for activation. Mechanistically, the spatial recruitment/activation of PI3K-PI(3,4,5)P3-AKT cascade are regulated by the activated FAK. Furthermore, combined inhibition of class I PI3K and FAK results in a more potent inhibitory effect on cancer cells. Thus, our results unveil a growth-factor independent, compartmentalized organization mechanism for PI3K-PI(3,4,5)P3-AKT signaling.

cell biology↗

bioRxiv2024

Basal Cambrian soft-bodied segmented bilaterians preserved as microbial pseudomorphs

Before Cambrian Stage 3, unambiguous body fossils of segmented bilaterians were rare, severely hampering our understanding of the early history of such important animals. Here we report a variety of microfossils with quintessential features such as paired appendages, dorsoventral and anteroposterior differentiations from the basal Cambrian Fortunian of South China, representing the earliest known three-dimensional body fossils of segmented bilaterians. These fossils were all microbial pseudomorphs built up by secondarily phosphatized bacteria aggregations, testifying microbial pseudomorph could serve as a novel and important pathway to preserve tiny, fragile bilaterian progenitors. This finding unveils a diversified segmented bilaterian world at the very beginning of Cambrian and would arouse a more comprehensive perspective on the early evolution of bilaterian body plans.

paleontology↗

bioRxiv2024

Enhanced purinergic signaling in the paraventricular hypothalamus induces hyperphagic obesity and insulin resistance

Body energy homeostasis is tightly regulated by hypothalamic neural circuits. However, their remodeling upon metabolic challenges remains incompletely characterized, thus complicating the development of safe medications against the surge of metabolic diseases. Oxytocin (OXT) neurons in the paraventricular nucleus of the hypothalamus (PVH) are one of the key effectors regulating energy balance. In this work, we report that high-fat diet (HFD) feeding in mice evokes spatiotemporally selective ATP release from astrocytes (Inflares) in the PVH, accompanied by the expression of hematopoietic lineage-specific ADP/ATP receptor P2Y12 on local OXT (PVHOXT) neurons. Strikingly, increased purinergic signaling leads to impaired responsiveness of PVHOXT neurons accompanied by hyperphagic obesity and insulin resistance in mice. Conversely, loss of P2Y12 in PVHOXT neurons attenuates metabolic phenotypes, illustrating that such remodeling is both necessary and sufficient to induce metabolic phenotypes. Inflares were also induced by hyperglycemia, while emergence of P2Y12 on OXT neurons of patients with diabetes mellitus suggests an evolutionary conserved purinergic response to various metabolic challenges and its potential as a drug target. Accordingly, nasal administration of clinically approved doses of P2Y12 inhibitors counteracts obesity in mice and non-human primates, paving the way for application of these compounds in patients with metabolic disorders.

neuroscience↗