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Biology subjects

Wu, R.

Publications and source records attributed to Wu, R..

At least 109 records · Page 6Linked to original sources

Cdkn2a regulates beige fat maintenance through BECN1-mediated autophagy

A potential therapeutic target to curb the obesity and diabetes epidemic is thermogenic beige adipocytes. However, beige adipocytes quickly transition into white adipocytes upon removing stimuli. Here, we define the critical role of Cdkn2a as a molecular pedal for the beige-to-white transition. Beige adipocytes lacking Cdkn2a exhibit prolonged lifespan, and mice are more resistant to diet-induced obesity, along with enhanced energy expenditure and improved glucose tolerance. Mechanistic studies demonstrate that Cdkn2a promotes the expression and activity of BECN1 by directly binding to its mRNA and its negative regulator BCL2L1, activating autophagy and accelerating the beige-to-white transition. Notably, reactivating autophagy by pharmacological or genetic methods abolishes beige adipocyte maintenance induced by Cdkn2a-ablation. Furthermore, hyperactive BECN1 alone significantly accelerates the beige-to-white transition. Collectively, these findings show that Cdkn2a-mediated autophagy serves as a brake system for beige adipocyte maintenance and is a highly promising target for anti-obesity and anti-diabetes therapy. HighlightsO_LICdkn2a ablation promotes beige fat maintenance and ameliorates diet-induced obesity C_LIO_LILoss of Cdkn2a retains beige adipocytes by inhibiting BECN1-mediated autophagy C_LIO_LICdkn2a modulates BECN1 by binding to its mRNA and its inhibitor BCL2L1, respectively C_LIO_LIHyperactive BECN1 is sufficient to accelerate the beige-to-white transition C_LI

cell biology↗

Genetically Encoded RNA-based Bioluminescence Resonance Energy Transfer (BRET) Sensors

RNA-based nanostructures and molecular devices have become popular for developing biosensors and genetic regulators. These programmable RNA nanodevices can be genetically encoded and modularly engineered to detect various cellular targets and then induce output signals, most often a fluorescence readout. Although powerful, the high reliance of fluorescence on the external excitation light raises concerns on its high background, photobleaching, and phototoxicity. Bioluminescence signals can be an ideal complementary readout for these genetically encoded RNA nanodevices. However, RNA-based real-time bioluminescent reporters have been rarely developed. In this study, we reported the first type of genetically encoded RNA-based bioluminescence resonance energy transfer (BRET) sensors that can be used for real-time target detection in living cells. By coupling a luciferase bioluminescence donor with a fluorogenic RNA-based acceptor, our BRET system can be modularly designed to image and detect various cellular analytes. We expect this novel RNA-based bioluminescent system can be potentially used broadly in bioanalysis and nanomedicine for engineering biosensors, characterizing cellular RNA-protein interactions, as well as high-throughput screening or in vivo imaging.

bioengineering↗

A gene expression analysis and immune infiltration between lesioned and preserved subchondral bone in osteoarthritis

BackgroundOsteoarthritis (OA) is a degenerative disease which need more research. The purpose of this study was to performed gene expression analysis and immune infiltration between lesioned and preserved subchondral bone, and validation with datasets and experiment of multiple tissues. MethodsThe different expressed genes(DEGs) of GSE51588 datasets between lesioned and preserved tibial plateaus of OA patients were conducted. Moreover, functional annotation and protein-protein interaction (PPI) network were applied for exploring the potential therapeutic targets in OA subchondral bones between lesioned and preserved sides. In addition, multiple tissues were used to screen out co-expressed genes and the expression levels of identified candidate DEGs was detected by quantitative real-time polymerase chain reaction (qRT-PCR) in OA. Finally, immune infiltration analysis was conducted. ResultsA total of 1010 DEGs were identified, including upregulated 423 genes, 587 downregulated genes. Upregulated genes showed that BP terms were enriched in "skeletal system development", "sister chromatid cohesion","ossification" etc. Pathways were enriched in "Wnt signaling pathway," "Proteoglycans in cancer," Downregulated genes showed that BP terms were enriched in "inflammatory response," "xenobiotic metabolic process", "positive regulation of inflammatory response". Pathways were enriched in "Neuroactive ligand-receptor interaction", "AMPK signaling pathway" etc. JUN, TNF, IL1B,were the hub genes in the PPI network. Col1A1 and LRRC15 were screened out by multiple datasets and validated by experiments. Immune infiltration showed adipocytes and endothelial cells infiltrated less in lesioned samples. ConclusionOur research might provide valuable information for exploring the pathogenesis mechanism of OA and identifying the potential therapy targets for OA diagnosis.

molecular biology↗

WDFY4 deficiency in NOD mice abrogates autoimmune diabetes and insulitis

The events that initiate autoimmune diabetes in NOD mice remain poorly understood. CD4 and CD8 T cells are both required but whether either cell initiates disease is unclear. To test whether CD4 T cell infiltration into islet required damage to {beta} cells induced by autoreactive CD8 T cells, we selectively inactivated Wdfy4 in NOD mice (NOD.Wdfy4-/-) using CRISPR/Cas9 targeting. Similar to C57BL/6 Wdfy4-/- mice NOD.Wdfy4-/- mice develop type 1 conventional dendritic cells (cDC1) that are unable to cross-present cell-associated antigens required to activate CD8 T cells. By contrast, cDC1 from heterozygous Wdfy4+/- mice can cross-present normally. Heterozygous NOD.Wdfy4+/- mice develop diabetes similar to NOD mice, but NOD.Wdfy4-/- mice neither develop diabetes nor prime autoreactive CD8 T cells in vivo. By contrast, NOD.Wdfy4-/- mice can process and present MHC-II-restricted autoantigens and can activate {beta} cell specific CD4 T cells in lymph nodes, and yet do not develop CD4 T cell infiltration in islets. These results indicate that the priming of autoreactive CD8 T cells in NOD mice requires cross-presentation by cDC1. Further, autoreactive CD8 T cells are required not only to develop diabetes, but to recruit autoreactive CD4 T cells into islets of NOD mice, perhaps in response to progressive {beta} cell damage.

immunology↗

CTRR-ncRNA: A Translation-oriented Knowledgebase for Cancer Resistance and Recurrence Associated Non-coding RNAs

Cancer therapy resistance and recurrence (CTRR) are the dominant causes of death in cancer patients. Recent studies have indicated that non-coding RNAs (ncRNAs) can not only reverse the resistance to cancer therapy but also are crucial biomarkers for the evaluation and prediction of CTRR. Herein, we developed CTRR-ncRNA, a knowledgebase of CTRR-associated ncRNAs, aiming to provide an accurate and comprehensive resource for research involving association between CTRR and ncRNAs. Compared to most of the existing cancer databases, CTRR-ncRNA is focused on the clinical characterization of cancers, including cancer subtypes, as well as survival outcomes and response to personalized therapy of cancer patients. Information pertaining to biomarker ncRNAs has also been documented for the development of personalized CTRR prediction. A user-friendly interface and several functional modules have been incorporated into the database. Based on the preliminary analysis of genotype-phenotype relationships, universal ncRNAs have been found to be potential biomarkers for CTRR. The CTRR-ncRNA is a translation-oriented knowledgebase and it provides a valuable resource for mechanistic investigations and explainable artificial intelligence-based modelling. CTRR-ncRNA is freely available to the public at http://ctrr.bioinf.org.cn/.

bioinformatics↗

High-resolution de novo structure prediction from primary sequence

Recent breakthroughs have used deep learning to exploit evolutionary information in multiple sequence alignments (MSAs) to accurately predict protein structures. However, MSAs of homologous proteins are not always available, such as with orphan proteins or fast-evolving proteins like antibodies, and a protein typically folds in a natural setting from its primary amino acid sequence into its three-dimensional structure, suggesting that evolutionary information and MSAs should not be necessary to predict a proteins folded form. Here, we introduce OmegaFold, the first computational method to successfully predict high-resolution protein structure from a single primary sequence alone. Using a new combination of a protein language model that allows us to make predictions from single sequences and a geometry-inspired transformer model trained on protein structures, OmegaFold outperforms RoseTTAFold and achieves similar prediction accuracy to AlphaFold2 on recently released structures. OmegaFold enables accurate predictions on orphan proteins that do not belong to any functionally characterized protein family and antibodies that tend to have noisy MSAs due to fast evolution. Our study fills a much-encountered gap in structure prediction and brings us a step closer to understanding protein folding in nature.

bioinformatics↗

Combined omics unravels the molecular mechanism of golden-leaf coloration in Koelreuteria paniculata 'jinye'

Koelreuteria paniculata is widely distributed in Asia and introduced to Europe and North America. K. paniculata jinye is a mutant variety used in landscaping that has a golden leaf color phenotype. Although similar leaf color variants occur in plants, little is known of the underlying mechanism. We performed physiological, anatomical, microRNA sequencing, transcriptomic, and metabolomic analyses of the golden leaf variation in the mutant. Compared with the original green cultivar, the golden leaf mutant exhibited 76.05% and 44.32% decreased chlorophyll a (Chl a) and chlorophyll b (Chl b) contents, respectively, and significantly increased carotenoid content. Analysis of leaf ultrastructure revealed an abnormal chloroplast morphology and fewer lamellae in the mutant. Fifty-nine differentially expressed genes (DEGs), forty transcription factors (TFs) and forty-nine differentially expressed miRNAs (DEmiRs) involved in pigment metabolism, chloroplast development, and photosynthesis were identified. The GLK and petC genes were downregulated and are involved in chloroplast development and chlorophyll synthesis, respectively. The upregulated PSY and PDS genes, and the downregulated NCED gene promote carotenoid accumulation. A variety of chalcones and flavonols were upregulated in the mutant. Consequently, the carotenoid to chlorophyll ratio increased by more than 75%, and the accumulation of chalcones and flavonols was responsible for the golden leaf phenotype of the mutant K. paniculata.

molecular biology↗

Identification of two bZIP transcription factors that regulate development of pavement and trichome cells in Arabidopsis thaliana by single-cell RNA-sequencing

Epidermal cells are the main avenue for signal and material exchange between plants and the environment. Leaf epidermal cells primarily include pavement cells (PCs), guard cells, and trichomes cells (TCs), which differentiate from protodermal cells or meristemoids. The development and distribution of different epidermal cells are tightly regulated by a complex transcriptional regulatory network mediated by phytohormones, including jasmonic acid (JA), and transcription factors. Understanding how the fate of leaf epidermal cells is determined, however, is still largely unknown due to the diversity of cell types and the complexity of its regulation. Here, we characterized the transcriptional profiles of epidermal cells in 3-day-old true leaves of Arabidopsis thaliana using single-cell RNA-sequencing. We identified two genes encoding BASIC LEUCINE-ZIPPER (bZIP) transcription factors, namely the bZIP25 and bZIP53, which are highly expressed in PCs and early-stage meristemoid cells. Densities of PCs and TCs were found to increase and decrease, respectively, in bzip25 and bzip53 mutants, compared with wild-type plants. This trend was more pronounced in the presence of JA, suggesting that these transcription factors regulate the development of TCs and PCs in response to JA. IN A NUTSHELLO_ST_ABSBackgroundC_ST_ABSLeaf epidermal cells, comprised of trichome cells (TCs), guard cells (GCs), and pavement cells (PCs), are responsible for exchanging materials and information between plants and the surrounding aerial environment. Many genes have been identified in Arabidopsis thaliana and confirmed to be involved in the initiation and differentiation of TCs and PCs. The fate determination of TCs and PCs is tightly regulated by positive and negative regulators at the cellular level. The precise underlying molecular mechanisms responsible for the fate determination of TCs and PCs, however, are still unclear at this time. QuestionWhat are the transcriptomic profiles of different leaf epidermal cell types? Can we dissect the genes that are specifically expressed in certain epidermal cell types? What kinds of transcription factors are involved in regulating the fate determination of TCs and PCs? FindingsWe performed single cell RNA-seq to investigate the transcriptomic profiles of different leaf epidermal cell types and identified differentially expressed genes in each cell type. We found that genes that are involved in jasmonic acid signaling are highly expressed in early-stage meristemoid (EM) cells which can act as the precursor of PCs and perhaps of TCs. To investigate the regulatory mechanisms underlying EM development, we identified the transcription factors (TFs) in EM cells and found that two bZIP TF genes, bZIP25 and bZIP53, are highly expressed in EMs. Further analyses of these two genes using both loss-of-function and gain-of-function approaches indicated that bZIP25 and bZIP53 are functionally involved in promoting trichome formation but inhibit pavement cell development in response to jasmonic acid. Next stepsBesides of bZIP25 and bZIP53, we also identified other key genes, for example FES1B, in leaf epidermal cells. Our next step will be to explore the regulation of other key genes involved in the fate determination of different cell types in leaf epidermis.

plant biology↗

The production of diverse brGDGTs by an Acidobacterium allows a direct test of temperature and pH controls on their distribution

Microbial lipid biomarkers preserved in geological archives can be used to explore past climate changes. Branched glycerol dialkyl glycerol tetraethers (brGDGTs) are unique bacterial biomarkers that have been used as molecular tools for the quantitative determination of terrestrial temperatures and the pH of depositional environments over a range of geological timescales. However, the exact biological source organisms - especially of the entire suite of brGDGTs found in the environment - remains unclear; by extension, so do the mechanisms that govern these proxies. Here, we identified a brGDGT-producing strain Candidatus Solibacter usitatus Ellin6076, by identifying archaeal tetraether synthase homologs in bacterial genomes. This strain synthesizes diverse brGDGTs, including regular C5-methylated and cyclic brGDGTs, and brGDGTs comprise up to 66% of the major lipids, far exceeding the proportions found in previous studies. The degree of C5-methylation in cultured strain Ellin6076 is primarily determined by temperature, whereas cyclization appears to be influenced by multiple factors. Consequently, culture-derived paleoclimate indices are in agreement with the global soil-derived MBT5ME (methylation index of C5-methyl brGDGTs) proxy for temperature but not the CBT5ME (cyclization index of C5-methyl brGDGTs) proxy for pH. Our findings provide important insights from a physiological perspective into the underlying mechanism of brGDGT-based proxies. Significance StatementBranched glycerol dialkyl glycerol tetraethers (brGDGTs) are biomarkers widely used for the quantitative estimation of past climatic changes due to their ubiquitous occurrence in the environment and the relationships between their distributions and temperature and pH. However, the ecophysiology of brGDGT-producing bacteria and the mechanistic basis for brGDGT-based climate proxies remain unknown. Here, we identify a brGDGT-producing Acidobacterium and present a physiological study of brGDGTs in response to cultivation variables, which provides pivotal insights into how brGDGT producers modulate methylation and cyclization under different culturing conditions. Our study represents a significant advancement in understanding the physiological role of lipid structures in microbial adaptation and helps us interpret the relationships between brGDGT-based proxies and environmental conditions of the geological environment.

microbiology↗

Disentangling leaf-microbiome interactions in Arabidopsis thaliana by network mapping

The leaf microbiota plays a key role in plant development, but a detailed mechanism of microbe-plant relationships remains elusive. Many genome-wide association studies (GWAS) have begun to map leaf microbes, but few has systematically characterized the genetics of how microbes act and interact. Previously, we integrated behavioral ecology and game theory to define four types of microbial interactions - mutualism, antagonism, aggression, and altruism, in a microbial community assembly. Here, we apply network mapping to identify specific plant genes that mediate the topological architecture of microbial networks. Analyzing leaf microbiome data from an Arabidopsis GWAS, we identify several heritable hub microbes for leaf microbial communities and detect 140-728 SNPs responsible for emergent properties of microbial network. We reconstruct Bayesian genetic networks from which to identify 22-43 hub genes found to code molecular pathways related to leaf growth, abiotic stress responses, disease resistance and nutrition uptake. A further path analysis visualizes how genetic variants of Arabidopsis affect its fecundity through the internal workings of the leaf microbiome. We find that microbial networks and their genetic control vary along spatiotemporal gradients. Our study provides a new avenue to reveal the "endophenotype" role of microbial networks in linking genotype to end-point phenotypes in plants. Our integrative theory model provides a powerful tool to understand the mechanistic basis of structural-functional relationships within the leaf microbiome and supports the need for future research on plant breeding and synthetic microbial consortia with a specific function. IMPORTANCEIt is found that plant genes act as microbiome gatekeepers to select which microbes get to live inside the leaves for health. Many genome-wide association studies (GWAS) have begun to map leaf microbes, but few has systematically characterized the genetics of how microbes act and interact. This work illustrates a more comprehensive picture of the genetic architecture underlying the leaf microbiome by network mapping. This study also dissects how genetic variants affect its fecundity by direct path and indirect path through microbial network, revealing the "endophenotype" role of microbial networks in linking genotype to end-point phenotypes. Future studies could benefit from this work to improve understanding the underlying genetic mechanisms that govern the relationships between plants and their microbiomes, and to manipulate plant genetic system to reconfigure microbiome. Plants could become more efficient at selecting their microbial partners to improve their health, resilience, and productivity.

microbiology↗

Hiplot: a comprehensive and easy-to-use web service boosting publication-ready biomedical data visualization

Modern web techniques provide an unprecedented opportunity for leveraging complex biomedical data generating in clinical, omics, and mechanism experiments. Currently, the functions for carrying out publication-ready biomedical data visualization represent primary technical hurdles in the state-of-art omics-based web services, whereas the demand for visualization-based interactive data mining is ever-growing. Here, we propose an easy-to-use web service, Hiplot (https://hiplot.com.cn), equipping with comprehensive and interactive biomedical data visualization functions (230+) including basic statistics, multi-omics, regression, clustering, dimensional reduction, meta-analysis, survival analysis, risk modeling, etc. We used the demo and real datasets to demonstrate the usage workflow and the core functions of Hiplot. It permits users to conveniently and interactively complete a few specialized visualization tasks that previously could only be done by senior bioinformatics or biostatistics researchers. A modern web client with efficient user interfaces and interaction methods has been implemented based on the custom components library and the extensible plugin system. The versatile output can also be produced in different environments via using the cross-platform portable command-line interface (CLI) program, Hctl. A switchable view between the editable data table and the file uploader/path selection could facilitate data importing, previewing, and exporting, while the plumber-based response strategy significantly reduced the time costs for generating basic scientific graphics. Diversified layouts, themes/styles, and color palettes in this website allow users to create high-quality and publication-ready graphics. Researchers devoted to both life and data science may benefit from the emerging web service.

bioinformatics↗

Development and characterization of a human arteriovenous malformation (AVM)-on-a-chip model

Brain arteriovenous malformations (AVMs) are a disorder wherein abnormal, enlarged blood vessels connect arteries directly to veins, without an intervening capillary bed. AVMs are one of the leading causes of hemorrhagic stroke in children and young adults. Most human sporadic brain AVMs are associated with genetic activating mutations in the KRAS gene. Our goal was to develop an in vitro model that would allow for simultaneous morphological and functional phenotypic data capture in real time during AVM disease progression. By generating human endothelial cells harboring a clinically relevant mutation found in most human patients (activating mutations within the small GTPase KRAS) and seeding them in a dynamic microfluidic cell culture system that enables vessel formation and perfusion, we demonstrate that vessels formed by KRAS4AG12V mutant endothelial cells (ECs) were significantly wider and more leaky than vascular beds formed by wild-type ECs, recapitulating key structural and functional hallmarks of human AVM pathogenesis. Immunofluorescence staining revealed a breakdown of adherens junctions in mutant KRAS vessels only, leading to increased vascular permeability, a hallmark of hemorrhagic stroke. Finally, pharmacological blockade of MEK kinase activity, but not PI3K inhibition, improved endothelial barrier function (decreased permeability) without affecting vessel diameter. Collectively, our studies describe the creation of human KRAS-dependent AVM-like vessels in vitro in a self-assembling microvessel platform that is amenable to phenotypic observation and drug delivery.

bioengineering↗

The effects of electroencephalogram feature-based transcranial alternating current stimulation on working memory and electrophysiology

Transcranial alternating current stimulation (tACS) can influence cognitive functions by modulating brain oscillations. However, results regarding the effectiveness of tACS in regulating cognitive performance have been inconsistent. In the present study, we aimed to find EEG characteristics associated with the improvements in working memory performance, to select tACS stimulus targets and frequency based on this feature, and to explore effects of selected stimulus on verbal working memory. To achieve this goal, we first investigated the EEG characteristics associated with improvements in working memory performance with the aid of EEG analyses and machine learning techniques. These analyses suggested that 8 Hz activity in the prefrontal region was related to accuracy in the verbal working memory task. The tACS stimulus target and pattern were then selected based on the EEG feature. Finally, the selected tACS frequency (8 Hz tACS in the prefrontal region) was applied to modulate working memory. The performance of working memory was improved significantly using the selected stimulation than using 40 Hz and sham stimulation (Especially for participants with low verbal working memory). In conclusion, using EEG features related to positive behavioral changes to select brain regions and stimulation patterns for tACS is an effective intervention for improving working memory. Our results contribute to the groundwork for future tACS closed-loop interventions for cognitive deterioration.

neuroscience↗

Geminivirus C4 proteins inhibit GA signaling via prevention of NbGAI degradation, to promote viral infection and symptom development in N. benthamiana

Phytohormone gibberellin (GA) is an important plant signaling molecule that regulates plant growth and defense against abiotic and biotic stresses. To date, the molecular mechanism of the plant responses to viral infection mediated by GA is still undetermined. DELLA is a repressor of GA signaling and is recognized by the F-box protein, a component of the SCFSLY1/GID2 complex. The recognized DELLA is degraded by the ubiquitin-26S proteasome, leading to the activation of the GA signaling. Here, we report that ageratum leaf curl Sichuan virus (ALCScV)-infected N. benthamiana plants showed dwarfing symptom and abnormal flower development. The infection of ALCScV alters the expressions of GA pathway-related genes and decreases the content of endogenous GA significantly in N. benthamiana. Further, ALCScV-encoded C4 protein interacts with the DELLA protein NbGAI, and interferes with the interaction between NbGAI and NbGID2 to prevent the degradation of NbGAI, leading to the inhibition of the GA signaling pathway. Silencing of NbGAI or exogenous GA3 treatment significantly reduces viral accumulation and disease symptoms in N. benthamiana plants. The same results were proved by the experiments with C4 protein encoded by tobacco curly shoot virus (TbCSV). Therefore, we propose a novel mechanism of geminivirus C4 proteins controling virus infection and disease symptom development through interfering GA signaling pathway. Author SummaryGibberellins (GAs) are plant hormones that are essential for many developmental processes in plants. It has indicated that plant virus infection can induce abnormal flower development and influence GA pathway resulting the plant dwarfing symptom, but the underlying mechanisms is still not well described. Here, we demonstrate that geminivirus - encoded C4 protein regulates the GA signaling pathway to promote viral accumulation and disease symptom development. Through directly interacting with NbGAI, the C4 protein interferes with the interaction between NbGAI and NbGID2, which inhibits the degradation of NbGAI. As a result, the GA signaling pathway is blocked, and the infected plants display symptoms of typical dwarfing and delayed flowering. Our results reveal a novel mechanism by which geminivirus C4 proteins influence viral pathogenicity via interfering the GA signaling pathway, and provide new insights into the interaction between virus and host.

pathology↗

Molecular atlas of the human brain vasculature at the single-cell level

A broad range of brain pathologies critically relies on the vasculature, and cerebrovascular disease is a leading cause of death worldwide. However, the cellular and molecular architecture of the human brain vasculature remains poorly understood. Here, we performed single-cell RNA sequencing of 599,215 freshly isolated endothelial, perivascular and other tissue-derived cells from 47 fetuses and adult patients to construct a molecular atlas of the developing fetal, adult control and diseased human brain vasculature. We uncover extensive molecular heterogeneity of healthy fetal and adult human brains and across eight vascular-dependent CNS pathologies including brain tumors and brain vascular malformations. We identify alteration of arteriovenous differentiation and reactivated fetal as well as conserved dysregulated pathways in the diseased vasculature. Pathological endothelial cells display a loss of CNS-specific properties and reveal an upregulation of MHC class II molecules, indicating atypical features of CNS endothelial cells. Cell-cell interaction analyses predict numerous endothelial-to-perivascular cell ligand-receptor crosstalk including immune-related and angiogenic pathways, thereby unraveling a central role for the endothelium within brain neurovascular unit signaling networks. Our single-cell brain atlas provides insight into the molecular architecture and heterogeneity of the developing, adult/control and diseased human brain vasculature and serves as a powerful reference for future studies.

neuroscience↗

Neural mechanisms underlying anxiety-related deficits of attentional inhibition: direct ERP evidence from the Pd component

Behavioral evidence shows that anxious individuals tend to be distracted by irrelevant stimulation not only for threat-related stimuli but also for non-emotional neutral stimuli. These findings suggest that anxious individuals may have a general impairment of attentional control, especially inhibition function. However, the neural mechanism underlying the anxiety-related impairment in attentional control is unclear. Here, in a visual search task with geometric stimuli, we examined attentional processing of the non-emotional neutral distractor on participants with different levels of anxiety, using the event-related-potential (ERP) indices of attentional selection (N2 posterior contralateral [N2pc]) and top-down inhibition (distractor positivity [Pd]). We found that distractor-evoked Pd amplitudes were negatively correlated with trait-anxiety scores, i.e., the higher the level of anxiety, the worse the ability of attentional inhibition. In contrast, the amplitudes of distractor-evoked N2pc did not vary with anxiety levels, suggesting that trait-anxiety level does not affect stimulus-driven attentional capture. We also observed attentional processing of target stimuli and found that the peak latency of target-evoked N2pc was delayed as anxiety levels rise, suggesting that anxiety impairs the efficiency of top-down attentional selection of the target. The present study provides direct neurophysiological evidence for general anxiety-related impairment of attentional control.

neuroscience↗

BCL6-dependent TCF-1+ progenitor cells maintain effector and helper CD4 T cell responses to persistent antigen

Shortly after priming, the fate of activated CD4 T cells is segregated into BCL6+ follicular helper T (Tfh) and BCL6- effector (Teff) cells. However, it remains unknown how these subsets are sustained in the presence of chronic antigen stimulation. Using a combination of single cell- and population-based approaches, we show that in chronic viral infection, activated CD4 T cells differentiate into BCL6-dependent TCF-1+ progenitor cells with superior capacity to expand and give rise to both Teff and Tfh. They share properties with progenitor-exhausted CD8 T cells and are required for the continued generation of Teff cells as antigen persists. In response to tumors, an analogous CD4 T cell population develops in draining lymph nodes. Our study reveals the heterogeneity and plasticity of CD4 T cells upon encountering persistent antigen and highlights their population dynamics through a stable bipotent intermediate state.

immunology↗

Pseudocritical and Precritical States in Brain Dynamics

Scale-free brain dynamics under external stimuli raises an apparent paradox since the critical point of the brain dynamics locates at the limit of zero external drive. Here, we demonstrate that relaxation of the membrane potential removes the critical point but facilitates scale-free dynamics in the presence of strong external stimuli. These findings feature biological neural networks as systems that have no real critical point but bear critical-like behaviors. Attainment of such pseudocritical states relies on processing neurons into a precritical state where they are made readily activatable. We discuss supportive signatures in existing experimental observations and advise new ones for these intriguing properties. These newly revealed repertoires of neural states call for reexamination of brains working states and open fresh avenues for the investigation of critical behaviors in complex dynamical systems.

neuroscience↗