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Luo, J.

Publications and source records attributed to Luo, J..

At least 127 records · Page 7Linked to original sources

Successful establishment of an exogenous gene expression system in Chlamydomnas chloroplast based on viral replication elements

Currently, transformation in unicellular green alga (Chlamydomonas reinhardtii) chloroplast is hindered by a low yield of target products, possibly due to the heterogeneity of the chloroplast genome. In this study, an expression platform was established in C. reinhardtii by leveraging replicative elements from beet curly top geminivirus, which led to a high level of heterologous gene expression, as previously reported in Nicotiana tabacum. Platform performance was verified by the successful expression of a linearized mvenus cassette, achieving a higher expression level than that obtained using the homologous-recombination-based approach. This study provides a new strategy in microalgae synthetic biology and opens new avenue for accumulating valuable bioproducts at high concentrations.

synthetic biology↗

Mitochondrial Stress Disassembles Nuclear Architecture through Proteolytic Activation of PKCδ and Lamin B1 Phosphorylation in Neuronal Cells: Implications for Pathogenesis of Age-related Neurodegenerative Diseases

Mitochondrial dysfunction and oxidative stress are hallmarks of pathophysiological processes in age-related neurodegenerative diseases including Parkinsons, Alzheimers and Huntingtons diseases. Neuronal cells are highly vulnerable to mitochondrial stress, however, the cellular and molecular mechanisms underlying the enhanced vulnerability are not well understood. Previously, we demonstrated that the novel PKC isoform PKC{delta} is highly expressed in dopamin(DA)ergic neurons and plays a key role in inducing apoptotic cell death during neurotoxic stress via caspase-3-mediated proteolytic activation. Herein, we further uncovered a key downstream molecular event of PKC{delta} signaling following mitochondrial dysfunction that governs neuronal cell death by dissembling nuclear architecture. Exposing N27 DAergic cell line to the mitochondrial complex-1 inhibitor tebufenpyrad induced PKC{delta} phosphorylation at the T505 activation loop accompanied by caspase-3-dependent proteolytic activation of the kinase. Subcellular analysis using high-resolution 3D confocal microscopy revealed that proteolytically activated cleaved PKC{delta} translocates to the nuclear compartment, colocalizing with Lamin B1. Electron microscopy also enabled the visualization of nuclear membrane damage triggered by subjecting the DAergic neuronal cells by Tebufenpyrad (Tebu) toxicity. In silico analyses identified that the threonine site on Lamin B1 (T575) is likely phosphorylated by PKC{delta}, suggesting that Lamin B1 serves as a key downstream target of the kinase. Interestingly, N27 DAergic cells stably expressing the PKC{delta} proteolytic cleavage site-resistant mutant failed to induce nuclear damage, PKC{delta} activation, and Lamin B1 phosphorylation. Furthermore, CRISPR/Cas9-based stable knockdown of PKC{delta} greatly attenuated Tebu-induced Lamin B1 phosphorylation. Also, studies using Lamin B1T575G mutated at phosphorylation and PKC{delta}-{Delta}NLS-overexpressing N27 cells showed that PKC{delta} activation and translocation to the nuclear membrane are critically required for phosphorylating Lamin B1 at T575 to induce nuclear membrane damage during Tebu insult. Additionally, Tebu failed to induce Lamin B1 damage and Lamin B1 phosphorylation in organotypic midbrain slices cultured from PKC{delta}-/- mouse pups. More importantly, we observed higher PKC{delta} activation, Lamin B1 phosphorylation and Lamin B1 loss in nigral DAergic neurons from the postmortem brains of PD patients as compared to age-matched healthy control brains, thus providing translational relevance of our finding. Collectively, our data reveal that PKC{delta} functions as a Lamin B1 kinase to disassemble the nuclear membrane during the neuronal cell death process triggered by mitochondrial stress. This mechanistic insight may have important implications for the etiology of age-related neurodegenerative diseases resulting from mitochondrial dysfunction as well as for the development of novel treatment strategies.

neuroscience↗

ConvNTC: Convolutional neural tensor completion for predicting the disease-related miRNA pairs and cell-related drug pairs

Systematic investigation of high-order molecular interactions can deepen our understanding of the mechanisms underlying biological systems. However, effectively capturing both multilinear and nonlinear relationships to accurately identify the complex triplet relationships remains a challenge. In this paper, we present a novel Convolutinal Neural Tensor Completion (ConvNTC) to model triplet network connections. ConvNTC consists of a multilinear module and nonlinear module. The former is a tensor decomposition approach that integrates multiple constraints to learn the tensor factor embeddings. The latter contains three components: an embedding generator to produce position-specific index embeddings for each tensor entry in addition to the factor embeddings, a convolutional encoder to perform nonlinear feature mapping while preserving the tensors rank-one property, and a Kolmogorov-Arnold Network (KAN) based predictor to effectively capture high-dimensional relationships aligned with the intrinsic structure of real-world data. We demonstrate ConvNTC on two triplet prediction tasks of the disease-related miRNA pairs and cell-related drug pairs, respectively. Comprehensive experiments against ten state-of-the-art methods demonstrate the superiority of ConvNTC in terms of triplet imputation. ConvNTC reveals promising prognostic values of the miRNA-miRNA interactions on breast cancer and detects synergistic drug combinations in cancer cell lines. The source code is available at https://github.com/Liangyushi/ConvNTC.

bioinformatics↗

Multi-omics investigation of spontaneous T2DM macaque reveals gut microbiota promote T2DM by up-regulating the absorption of excess palmitic acid

Although gut microbiota and lipid metabolites have been suggested to be closely associated with type 2 diabetes mellitus (T2DM), the interactions between gut microbiota, lipid metabolites and the host in T2DM development remains unclear. Rhesus macaques may be the best animal model to investigate these relationships given their spontaneous development of T2DM. We identified eight spontaneous T2DM macaques and conducted a comprehensive study investigating the relationships using multi-omics sequencing technology. Our results from 16S rRNA, metagenome, metabolome and transcriptome analyses identified that gut microbiota imbalance, tryptophan metabolism and fatty acid {beta} oxidation disorders, long-chain fatty acid (LCFA) accumulation, and inflammation occurred in T2DM macaques. We verified the accumulation of palmitic acid (PA) and activation of inflammation in T2DM macaques. Importantly, mice transplanted with spontaneous T2DM macaque fecal microbiota and fed a high PA diet developed prediabetes within 120 days. We determined that gut microbiota mediated the absorption of excess PA in the ileum, resulting in the accumulation of PA in the serum consequently leading to T2DM in mice. In particular, we demonstrated that the specific microbiota composition was probably involved in the process. This study provides new insight into interactions between microbiota and metabolites and confirms causative effect of gut microbiota on T2DM development.

microbiology↗

Dominant contribution of Asgard archaea to eukaryogenesis

The origin of eukaryotes is one of the key problems in evolutionary biology 1,2. The demonstration that the Last Eukaryotic Common Ancestor (LECA) already contained the mitochondrion, an endosymbiotic organelle derived from an alphaproteobacterium, and the discovery of Asgard archaea, the closest archaeal relatives of eukaryotes 3-7, inform and constrain evolutionary scenarios of eukaryogenesis 8. We undertook a comprehensive analysis of the origins of core eukaryotic genes tracing to the LECA within a rigorous statistical framework centered around evolutionary hypotheses testing using constrained phylogenetic trees. The results reveal dominant contributions of Asgard archaea to the origin of most of the conserved eukaryotic functional systems and pathways. A limited contribution from Alphaproteobacteria was identified, primarily relating to the energy transformation systems and Fe-S cluster biogenesis, whereas ancestry from other bacterial phyla was scattered across the eukaryotic functional landscape, without clear consistent trends. These findings suggest a model of eukaryogenesis in which key features of eukaryotic cell organization evolved in the Asgard lineage leading to the LECA, followed by the capture of the Alphaproteobacterial endosymbiont, and augmented by numerous but sporadic horizontal acquisition of genes from other bacteria both before and after endosymbiosis.

evolutionary biology↗

Manipulation of the brown glume and internode 1 gene leads to alterations in lignified tissue coloration, lignification, and pathogen resistance in wheat

Lignin is a crucial component of the cell wall, providing mechanical support and protection against biotic and abiotic stresses. However, little is known about wheat lignin-related mutants and their roles in pathogen defense. In this study, we identified an ethyl methanesulfonate (EMS)-derived Aegilops tauschii mutant named brown glume and internode 1 (bgi1), which exhibits reddish-brown pigmentation in various tissues, including internodes, spikes, and glumes. Using map-based cloning and single nucleotide polymorphism (SNP) analysis, we identified AET6Gv20438400 (BGI1) as the leading candidate gene, encoding the TaCAD1 protein. The mutation occurred in the splice acceptor site of the first intron, resulting in a premature stop codon in BGI1. We validated the function of BGI1 using loss-of-function EMS and gene editing knockout mutants, both of which displayed reddish-brown pigmentation in lignified tissues. BGI1 knockout mutants exhibited reduced lignin content and shearing force relative to wild type, while BGI1 overexpression transgenic plants showed increased lignin content and enhanced disease resistance against common root rot and Fusarium crown rot. We confirmed that BGI1 exhibits CAD activity both in vitro and in vivo, playing an important role in lignin biosynthesis. BGI1 was highly expressed in the stem and spike and localized in the cytoplasm. Transcriptome analysis revealed the regulatory networks associated with BGI1. Finally, we demonstrated that BGI1 interacts with TaPYL-1D, potentially involved in the abscisic acid signaling pathway. The identification and functional characterization of BGI1 significantly advance our understanding of CAD proteins in lignin biosynthesis and plant defense against pathogen infection in wheat.

plant biology↗

Quantitative proteomic mass spectrometry of protein kinases to determine dynamic heterogeneity of the human kinome

The kinome is a dynamic system of kinases regulating signaling networks in cells and dysfunction of protein kinases contributes to many diseases. Regulation of the protein expression of kinases alters cellular responses to environmental changes and perturbations. We configured a library of 672 proteotypic peptides to quantify >300 kinases in a single LC-MS experiment using ten micrograms protein from human tissues including biopsies. This enables absolute quantitation of kinase protein abundance at attomole-femtomole expression levels, requiring no kinase enrichment and less than ten micrograms of starting protein from flash-frozen and formalin fixed paraffin embedded tissues. Breast cancer biopsies, organoids, and cell lines were analyzed using the SureQuant method, demonstrating the heterogeneity of kinase protein expression across and within breast cancer clinical subtypes. Kinome quantitation was coupled with nanoscale phosphoproteomics, providing a feasible method for novel clinical diagnosis and understanding of patient kinome responses to treatment.

biochemistry↗

Synthetic chaperone based on Hsp90-Tau interaction inhibits pathological Tau aggregation and rescues physiological Tau-Microtubule interaction

The accumulation of intracellular aggregates of Tau protein is one main hallmark of Alzheimers disease (AD) and is the consequence of Tau conformational changes, increased phosphorylation, and self-association to form fibrillar aggregates. This pathological process prevents the physiological interaction of Tau with microtubules to the detriment of the structural integrity of neurons. In healthy cells, aberrant protein misfolding and aggregation are counteracted by chaperone proteins whose protective capacity decreases with age. The role of the chaperone Hsp90 and the mechanism by which it can prevent Tau aggregation toxicity are controversial. The innovative strategy of mimicking Hsp90 through the design of the {beta}-hairpin like peptidomimetic {beta}-Hsp90, inspired by two Hsp90/Tau interaction sequences, is presented here. {beta}-Hsp90 inhibits Tau aggregation both in vitro and in cells, restoring Taus physiological interaction with microtubules. {beta}-Hsp90, which interacts with the P1 region of Tau, is more effective than individual peptide sequences from the chaperone HSP90 and another {beta}-hairpin mimic based on Tau sequences. Moreover, {beta}-Hsp90 dramatically reduces AD-associated A{beta}1-42 aggregation, offering the development of a dual inhibitor. This work paves the way for the design of new drugs targeting devastating untreated amyloid diseases, by mimicking physiological chaperones with small synthetic peptide drugs.

pharmacology and toxicology↗

Circulatory proteins shape microglia state and boost phagocytosis

Microglia, the brains immune cells, are highly responsive to their local environment. Given that circulatory proteins can enter the brain, we asked whether microglia are responsive to such proteins. Here, we identify a stable population of microglia specialized to take up circulatory proteins in a region-specific manner under physiological conditions; human hematopoietic stem cell-derived microglia replacing endogenous microglia in chimeric mice show similar regional specialization. Plasma-positive microglia are characterized by prominent expression of genes related to innate immunity and antigen presentation and exhibit high metabolic and phagocytic activity. This activity is dependent, in part, on microglial uptake and accumulation of circulatory Apolipoprotein AI (ApoA-I). Our findings thus identify a new model of communication between brain and periphery through specialized microglia.

neuroscience↗

Leveraging large language models for metabolic engineering design

Establishing efficient cell factories involves a continuous process of trial and error due to the intricate nature of metabolism. This complexity makes predicting effective engineering targets a challenging task. Therefore, it is vital to learn from the accumulated successes of previous designs for advancing future cell factory development. In this study, we developed a method based on large language models (LLMs) to extract metabolic engineering strategies from research articles on a large scale. We created a database containing over 29006 metabolic engineering entries, 1210 products and 751 organisms. Using this extracted data, we trained a hybrid model combining deep learning and mechanistic approaches to predict engineering targets. Our model outperformed traditional metabolic engineering target prediction algorithms, excelled in predicting the effects of gene modifications, and generalized well to out-of-distribution products and multiple gene combinations. Our study provides a valuable dataset, a chatbot, and an engineering target prediction model for the metabolic engineering field and exemplifies an efficient method for leveraging existing knowledge for future predictions.

systems biology↗

Neural representation of vocalization self-monitoring in the bat auditory midbrain

During acoustic interaction, mammals, including humans, not only monitor sounds from external sources but also their own vocalizations, the latter of which is known as vocalization feedback monitoring. Yet, it is unclear whether subcortical auditory regions process vocalization feedback. Here, we established an experimental paradigm that allows recording chronically the single-unit activity of the auditory midbrain (inferior colliculus) in freely vocalizing bats. We report that most collicular neurons represented self-produced biosonar vocalizations distinctively from pure tones and vocalization playbacks. Some neurons showed robust excitatory responses to vocalization feedback yet lacked any excitatory response to pure tones covering the entire frequency range of the vocalizations. Surprisingly, some collicular neurons even reversed the response polarity, from vocalization-induced suppression to vocalization-playback-induced excitation. Moreover, approximately a third of the neurons responded faster to self-produced vocalizations than to both vocalization playbacks and pure tones. These findings show that the midbrain inferior colliculus is involved in vocalization feedback processing, an ability suggested to arise locally in the auditory cortex.

neuroscience↗

The African Swine Fever Virus gene MGF_360-4L inhibits interferon signaling by recruiting mitochondrial selective autophagy receptor SQSTM1 degrading MDA5 antagonizing innate immune responses

Multigene family (MGF) 360 genes, which are African swine fever virus (ASFV) virulence genes, primarily target key host immune molecules to suppress host interferon (IFN) production and interferon-stimulated gene (ISG) transcription, impairing host innate immune responses for efficient viral replication. However, the interactions between MGF 360 virulence genes and host molecules, as well as the mechanisms through which MGF 360 genes regulate host immune responses and interferon signaling, require further elucidation. In this study, we discovered that ASFV MGF_360-4L interacts with MDA5 and recruits the mitochondrial selective autophagy receptor SQSTM1 to degrade MDA5, thus impairing interferon signaling and compromising host innate immune responses. Furthermore, MGF_360-4L inhibits the interaction between MDA5 and MAVS, blocking ISG15-mediated ISGylation of MDA5. MGF_360-4L deficiency significantly attenuated virus-induced mitochondrial autophagy in vitro. Additionally, OAS1 ubiquitinates MGF_360-4L at residues K290, K295 and K327. Finally, a recombinant ASFV lacking the MGF_360-4L gene (ASFV-{Delta}MGF_360-4L) was generated using ASFV-CN/SC/2019 as the backbone, which demonstrated that the replication kinetics of ASFV-{Delta}MGF_360-4L in PAM cells were like those of the highly virulent parental ASFV-WT in vitro. Domestic pigs infected with ASFV-{Delta}MGF_360-4L exhibited milder symptoms than those infected with parental ASFV-WT, and ASFV-{Delta}MGF_360-4L-infected pigs presented with enhanced host innate antiviral immune response, confirming that the deletion of the MGF_360-4L gene from the ASFV genome highly attenuated virulence in pigs and provided effective protection against parental ASFV challenge. In conclusion, we identified a novel ASFV virulence gene, MGF_360-4L, further elucidating ASFV infection mechanisms and providing a new candidate for vaccine development. IMPORTANCEAfrican swine fever virus (ASFV) infection causes acute death in pigs, and there is currently no effective vaccine available for prevention. Multigene family (MGF) virulence genes have been shown to be crucial for ASFV ability to evade host innate immune responses. However, the functions of most MGF genes remain unknown, which poses significant challenges for the development of ASFV vaccines and antiviral drugs. In this study, we identified a virulence gene of ASFV, MGF_360-4L, that targets and recruits the selective autophagy receptor p62 to mediate the degradation of the dsRNA sensor MDA5, thereby blocking interferon signaling. Additionally, it inhibits the ISG15-mediated ISGylation activation of MDA5. ASFV lacking MGF_360-4L showed reduced virulence and provided protection in pigs. Our data identify a novel virulence gene and provide new insights for ASFV vaccine development.

microbiology↗

Quantitative site-specific glycoproteomics by ZenoTOF reveals glyco-signatures for breast cancer diagnosis

Intact glycopeptide characterization by mass spectrometry has proven a versatile tool for site-specific glycoproteomics analysis and biomarker screening. Here, we present a method using the ZenoTOF instrument with optimized fragmentation for intact glycopeptide identification and demonstrate its ability to analyze large-cohort glycoproteomes. From 124 clinical serum samples of breast cancer, non-cancerous diseases, and non-disease controls, a total of 6901 unique site-specific glycans on 807 gly-cosites of proteins were detected. Much more differences of glycoproteome were observed in breast diseases than the proteome. By employing machine learning, 15 site-specific glycans were determined as potential glyco-signatures in detecting breast cancer. The results demonstrate that our method provides a powerful tool in glycoproteomic analyses for biomarker discovery studies.

cancer biology↗

Microbial Weathering Analysis of Anshun Tunbao Artifacts

AbstractsCultural heritages are the crystallization of human technology, culture and embody the efforts of many craftsmen in ancient times. Wooden cultural heritages are affected by their own materials, and are very susceptible to microbial invasion under suitable temperature and humidity conditions. This project mainly studies the microbial weathering of the core wood carving masks and wooden ancient stage in Anshun Tunpu cultural heritage, and uses scanning electron microscopy, high-throughput sequencing and traditional culture methods to analyze the characteristics of their microbial communities, and finds that the bacteria represented by Pseudomonas, Paenibacillus and Stenotrophomonas, and the fungi represented by Cladosporium, Alternaria and Aspergillus, are the core microorganisms shared by indoor and outdoor cultural heritage. The dominant genera such as Pseudomonas, Stenotrophomonas, and Cladosporium showed lignocellulose deradation ability. By cultivating insect eggs extracted from sampled specimens and analyzing the correlation with surface microbiota, we verified the role of insect eggs as vectors in dispersing key microbial communities. We speculate that these insects are likely to be Anobiidae family. Furthermore, by comparing the microbial compositions under different climatic conditions, we validated the influence of temperature, humidity, vegetation diversity, and microbial intrinsic structures on microbial growth. Therefore, monitoring the surrounding environment is crucial in microbial weathering studies and cultural heritage preservation efforts. This study pioneered the investigation of microbial weathering aspects on unique heritage of the Tuenbao culture, emphasizing the importance of preserving distinctive ethnic cultures. Additionally, it presented a case study on the microbial weathering of wooden artifacts in karst landscape environments.

microbiology↗

MagnoliidsGDB:An integrated functional genomics database for Magnoliids

In this study, we present MagnoliidsGDB, an integrated functional genomics database specifically developed for magnoliids, a group of plants known for their unique characteristics and medicinal properties. As of March 2024, MagnoliidsGDB has collected 31 genome sequences from 24 species, 149 resequencing datastes from 4 species, 842 transcriptomic datasets from 20 species, and metabolomic data from 15 species. This comprehensive resource allows researchers to explore the genomic, transcriptomic, and metabolomic variations of magnoliids. The user-friendly search and analysis functionalities of MagnoliidsGDB facilitate the study of genomic variations, gene functions, plant evolution and key metabolites of magnoliids. We hope this database will contribute to the study of magnoliids and increase our understanding of the origin, variation, and molecular basis of the unique biological features of magnoliids.

evolutionary biology↗

An autonomous robotic system for high-throughput phenotyping and behavioral studies of individual fruit flies

The fruit fly, Drosophila melanogaster, is a widely used model species in biomedical research. Despite its importance, conducting manual experiments with individual fruit flies can be challenging and time-consuming, especially for studies of individual fly behaviors. Such studies often involve cumbersome preparatory steps, such as manually tethering a fly and then positioning it within an experimental setup1,2. These procedures commonly require the fly to be anesthetized, and, before behavioral assessments begin, the fly must recover from anesthesia. Hence, the introduction of automated phenotyping and behavioral assays would expedite important aspects of fly research, by minimizing manual handling of flies and decreasing the net time needed for experiments. Here, we introduce FlyMAX (Fly Manipulation and Autonomous eXperimentation), an autonomous robotic system for manipulating adult flies without use of anesthesia. FlyMAX collects individual flies from a standard vial, analyzes them with computer vision, and achieves a throughput of >1,000 flies per day for high-throughput inspection and characterization assays. Robotic handling had no detectable adverse effects on fly longevity or our assessments of fly health. Moreover, the behavioral performance of flies, especially of males, was better and less variable than of flies handled manually. Our system employs deep learning-based machine vision for real-time assessments of picking quality and fly phenotypes. This enables fully pipelined, autonomous experimentation for behavioral assays with individual flies in controlled environments, which was previously infeasible. Overall, FlyMAX constitutes a promising technology to enhance the efficiency and reproducibility of research with flies and other insects in fields such as genetics, neuroscience, and drug screening.

neuroscience↗

Neural Sequences Underlying Directed Turning in C. elegans

Complex behaviors like navigation rely on sequenced motor outputs that combine to generate effective movement. The brain-wide organization of the circuits that integrate sensory signals to select and execute appropriate motor sequences is not well understood. Here, we characterize the architecture of neural circuits that control C. elegans olfactory navigation. We identify error-correcting turns during navigation and use whole-brain calcium imaging and cell-specific perturbations to determine their neural underpinnings. These turns occur as motor sequences accompanied by neural sequences, in which defined neurons activate in a stereotyped order during each turn. Distinct neurons in this sequence respond to sensory cues, anticipate upcoming turn directions, and drive movement, linking key features of this sensorimotor behavior across time. The neuromodulator tyramine coordinates these sequential brain dynamics. Our results illustrate how neuromodulation can act on a defined neural architecture to generate sequential patterns of activity that link sensory cues to motor actions.

neuroscience↗

Mutation of phosphatidate phosphohydrolase genes confers broad-spectrum disease resistance in plants

Phosphatidic acid (PA) is considered as a second messenger that interacts with protein kinases, phosphatases and NADPH oxidases, amplifying the signal to initiate plant defense signaling responses (Li and Wang, 2019). In rice, mutation of RBL1 causes the accumulation of PA, enhancing multipathogen resistance (Sha et al., 2023). In our previous study, we attempted to rescue rbl1 mutant by overexpressing phosphatidate phosphohydrolase (PAH) genes. However, overexpression of PAH2 reduced the PA level but did not affect the disease resistance, which made us to reconsider the importance of PA and PAH in rice immunity. Here, we identified that mutation of PAHs caused PA accumulation and enhanced multipathogen resistance in rice and Arabidopsis.

plant biology↗