Biology subjects

Liu, Q.

Publications and source records attributed to Liu, Q..

At least 289 records · Page 16Linked to original sources

bioRxiv2024

Mitigation of Stress-induced Structural Remodeling and Functional Deficiency in iPSC-CMs with PLN R9C Mutation by Promoting Autophagy

BackgroundPhospholamban (PLN) is a key regulator of cardiac function connecting adrenergic signaling and calcium homeostasis. The R9C mutation of PLN is known to cause early onset dilated cardiomyopathy (DCM) and premature death, yet the detailed mechanisms underlie the pathologic remodeling process are not well defined in human cardiomyocytes. The aim of this study is to unravel the role of PLN R9C in DCM and identify potential therapeutic targets. MethodsPLN R9C knock-in (KI) and patient-specific induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) were generated and comprehensively examined for their expression profile, contractile function, and cellular signaling under both baseline conditions and following functional challenges. ResultsPLN R9C KI iPSC-CMs exhibited near-normal morphology and calcium handling, slightly increased contractility, and an attenuated response to {beta}-adrenergic activation compared to wild-type (WT) cells. However, treatment with a maturation medium (MM) has induced fundamentally different remodeling in the two groups: while it improved the structural integrity and functional performance of WT cells, the same treatment result in sarcomere disarrangement, calcium handling deficiency, and further disrupted adrenergic signaling in PLN R9C KI cells. To understand the mechanism, transcriptomic analysis showed the enrichment of protein homeostasis signaling pathways specifically in PLN R9C KI cells in response to the MM treatment and increased contractile demands. Further studies also indicated elevated ROS levels, interrupted autophagic flux, and increased pentamer PLN aggregation in functionally challenged KI cells. These results were further confirmed in patient-specific iPSC-CM models, suggesting that functional stresses exacerbate the deficiencies in PLN R9C cells through disrupting protein homeostasis. Indeed, treating stressed patient cells with autophagy-accelerating reagents, such as metformin and rapamycin, has restored autophagic flux, mitigated sarcomere disarrangement, and partially rescued {beta}-adrenergic signaling and cardiac function. ConclusionsPLN R9C leads to a mild increase of calcium recycling and contractility. Functional challenges further enhanced contractile and proteostasis stress, leading to autophagic overload, structural remodeling, and functional deficiencies in PLN R9C cardiomyocytes. Activation of autophagy signaling partially rescues these effects, revealing a potential therapeutic target for DCM patients with the PLN R9C mutation. Graphic abstractsA graphic abstract is available for this article.

molecular biology↗

bioRxiv2024

SwinCell: a transformer-based framework for dense 3D cellular segmentation

Segmentation of three-dimensional (3D) cellular images is fundamental for studying and understanding cell structure and function. However, 3D cellular segmentation is challenging, particularly for dense cells and tissues. This challenge arises mainly from the complex contextual information within 3D images, anisotropic properties, and the sensitivity to internal cellular structures, which often lead to miss-segmentation. In this work, we introduce SwinCell, a 3D transformer-based framework that leverages Swin-transformer for flow prediction and effectively distinguishes individual cell instances in 3D. We demonstrate the broad utility of the SwinCell in the segmentation of nuclei, colon tissue cells, and dense cultured cells. SwinCell strikes a balance between maintaining detailed local feature recognition and understanding broader contextual information. Tested extensively with both public and in-house 3D cell imaging datasets, SwinCell shows superior performance in segmenting dense cells in 3D, making it a powerful 3D segmentation tool for cellular analysis that could expedite research in cell biology and tissue engineering.

cell biology↗

bioRxiv2024

Deciphering the Timing and Impact of Life-extending Drugs: A Novel Analytic Approach that Differentiates Early, Midlife, and Senescence Phase Efficacies.

Evidence that life-extending interventions are not uniformly effective across the lifespan calls for an analytic tool that can estimate age-specific treatment effects on mortality hazards. Here we report such a tool, applying it to mouse data from 42 compounds tested in the NIA Interventions Testing Program. This tool identified agents that either reduced (22) or increased (15) mortality hazards or did both (2) in at least one sex, most with marked variation in the duration of efficacy and magnitude of effect size. Only 8 reduced mortality hazards after 90% mortality, when the burden of senescence is the greatest. Sex differences were common. This new analytic tool complements the commonly used log-rank test. It detects more potential life-extending candidates (22 versus 10) and indicates when during the life course they are effective. It also uncovers adverse effects.

bioinformatics↗

bioRxiv2024

de Novo Sequencing of Antibodies for Identification of Neutralizing Antibodies in Human Plasma Post SARS-CoV-2 Vaccination

We present a method for sequencing polyclonal IgG enriched from human plasma, employing a combination of de novo sequencing, proteomics, bioinformatics, protein separation, sequencing, and peptide separations. Our study analyzes a single patients IgG antibody response triggered by the Moderna Spikevax mRNA COVID-19 vaccine. From the sequencing data of the natural polyclonal response to vaccination, we generated 12 recombinant antibodies. Six derived recombinant antibodies, including four generated with de novo sequencing, exhibited similar or higher binding affinities than the original natural polyclonal antibody. Our neutralization tests revealed that the six antibodies possess neutralizing capabilities against the target antigen. This research provides insights into sequencing polyclonal IgG antibodies while highlighting the effectiveness and potential of our approach in generating recombinant antibodies with robust binding affinity and neutralization capabilities. Our proposed approach is an advancement in characterizing the IgG response by directly investigating the circulating pool of IgG without relying exclusively on the B-cell repertoire or population. This is crucial as the B-cell analysis may not accurately represent the circulating antibodies. Interestingly, a large proportion (80 to 90%) of the human antibody sequences generated against SARS-CoV-2 in the literature have been derived solely from B-cell analysis. Therefore, the ability to offer a different perspective is crucial in gaining a comprehensive understanding of the IgG response. Significance StatementWe investigate human IgG targeting the receptor binding domain using de novo proteomics. The peripheral B-cell repertoire may not adequately cover all the circulating IgG for human IgG sequencing. Our approach overcomes this limitation by using a de novo protein sequencing on top of standard proteomics. We obtained distinct de novo sequences, showcasing our methods potential. The recombinant proteins we generate possess traits comparable to or surpassing the naturally occurring polyclonal antibodies (pAbs). This study highlights similarities and differences between IgG populations in blood and circulating B-cells, which is crucial for future biologics development.

immunology↗

bioRxiv2024

An Amygdalar Oscillator Coordinates Cellular and Behavioral Rhythms

Circadian rhythms are generated by the master pacemaker suprachiasmatic nucleus (SCN), in concert with local clocks throughout the body. While many brain regions exhibit cycling clock gene expression, the identity of a discrete extra-SCN brain oscillator that produces rhythmic behavior has remained elusive. Here, we show that an extra-SCN oscillator in the lateral amygdala (LA) is defined by expression of the clock-output molecule mWAKE/ANKFN1. mWAKE is enriched in the anterior/dorsal LA (adLA), and strikingly, selective disruption of clock function or excitatory signaling in adLAmWAKE neurons abolishes Period2 (Per2) rhythms throughout the LA. mWAKE levels rise at night and promote rhythmic excitability of adLAmWAKE neurons by upregulating Ca2+-activated K+ channel activity specifically at night. adLAmWAKE neurons coordinate rhythmic sensory perception and anxiety in a clock-dependent and WAKE-dependent manner. Together, these data reveal the cellular identity of an extra-SCN brain oscillator and suggest a multi-level hierarchical system organizing molecular and behavioral rhythms.

neuroscience↗

bioRxiv2024

eATP/P2X7R axis drives nanoparticle induced neutrophil recruitment in the pulmonary microcirculation

Exposure to nanoparticles (NPs) is frequently associated with adverse cardiovascular effects. In contrast, NPs in nanomedicine hold great promise for precise lung-specific drug delivery, especially considering the extensive pulmonary capillary network that facilitates interactions with bloodstream-suspended particles. Therefore, exact knowledge about interactions and effects of engineered NPs with the pulmonary microcirculation are instrumental for future application of this technology in patients. To unravel the real-time dynamics of intravenously delivered NPs and their effects in the pulmonary microvasculature, we employed intravital microscopy of the mouse lung. PEG amine-modified quantum dots (aQDs) with a low potential for biomolecule and cell interactions and carboxyl-modified quantum dots (cQDs) with a high interaction potential were used, representing two different NP subtypes. Only aQDs triggered rapid neutrophil recruitment in microvessels and their subsequent recruitment to the alveolar space. Application of specific inhibitors revealed that the aQDs induced neutrophil recruitment was linked to cellular degranulation, TNF-, and DAMP release into the circulation, particularly extracellular ATP (eATP). Stimulation of the ATP-gated P2X7R induced the expression of E-selectin on microvascular endothelium with the subsequent E-selectin depended neutrophilic immune response. Leukocyte integrins (LFA-1 and MAC-1) mediated adhesion and reduction in neutrophil crawling velocity on the vascular surface. In summary, this study unravels the complex cascade of neutrophil recruitment during NP-induced sterile inflammation. Thereby we demonstrate novel adverse effects for NPs in the pulmonary microcirculation and provide critical insights for optimizing NP-based drug delivery and therapeutic intervention strategies, to ensure their efficacy and safety in clinical applications. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=132 SRC="FIGDIR/small/584398v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@d10acborg.highwire.dtl.DTLVardef@1bbfe7org.highwire.dtl.DTLVardef@1d3e415org.highwire.dtl.DTLVardef@2328de_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2024

Effect of Electroacupuncture Pretreatment on Cognitive Impairment and Mitophagy in Aging Model Rats and its mechanism

ObjectiveInvestigate the effects of "Shuanggu Yitong" EA pretreatment on cognitive impairment, mitochondrial function, and mitophagy in aging model rats, and to analyze the related mechanisms. MethodsForty 3-month-old male SD rats were randomly divided into a blank group, a model group, an EA group, and a sham EA group, with 10 rats in each group. And the Morris water maze test was performed after the intervention. HE staining, to observe the morphological changes of the hippocampus of the model rats. Nissl staining was used to observe the changes in the number of hippocampal neurons in rats, Western Blotting (WB) was used to observe the expression of endogenous PTEN-induced hypothetical kinase 1 (PINK1) and human Parkinsons protein 2 (Parkin) in the hippocampus, spectrophotometry was employed to detect the activity of respiratory chain complex I in the hippocampus of the model rats, and flow cytometry was utilized to detect hippocampal mitochondrial membrane potential (MMP) and hippocampal mitochondrial permeability transition pore (MPTP) opening. Results"Shuanggu Yitong" EA pretreatment relieved the cognitive impairment induced by D-galactose in subacute aging model rats. The mechanism of "Shuanggu Yitong" EA pretreatment in the improvement of cognitive impairment of subacute aging model rats may be related to the enhancement of Pink1/Parkin mediated mitophagy and the timely removal of accumulated abnormal mitochondria, thus improving mitochondrial function. Conclusion"Shuanggu Yitong" EA pretreatment can significantly improve the cognitive impairment induced by D-galactose in subacute aging model rats.

cell biology↗

bioRxiv2024

TREM1 disrupts myeloid bioenergetics and cognitive function in aging and Alzheimer disease models

Human genetics implicate defective myeloid responses in the development of late onset, age-associated Alzheimers disease (AD). Aging is characterized by a decline in myeloid metabolism that triggers maladaptive, neurotoxic immune responses. TREM1 is an amplifier of pro-inflammatory myeloid responses, and here we find that Trem1 deficiency prevents age-dependent changes in myeloid metabolism, inflammation, and hippocampal memory function. Trem1 deficiency rescues age-associated declines in ribose-5P, a glycolytic intermediate and the precursor for purine, pyrimidine, and NAD+ biosynthesis. In vitro, Trem1 deficient microglia are resistant to bioenergetic changes induced by amyloid-{beta}42 oligomers (A{beta}42), suggesting that A{beta}42 stimulation disrupts homeostatic microglial metabolism and immune function via TREM1. In the 5XFAD model of amyloid accumulation, Trem1 haploinsufficiency prevents spatial memory loss, preserves homeostatic microglial morphology, and reduces neuritic dystrophy independent of amyloid accumulation or changes in the disease-associated microglial transcriptomic signature. In aging APPSwe mice, Trem1 deficiency restores synaptic mitochondrial function and cerebral glucose uptake and prevents hippocampal memory decline. In post-mortem human brain, microglial TREM1 expression increases with clinical and neuropathological severity. Thus, TREM1-mediated disruption of myeloid metabolism, both in the periphery and brain, promotes cognitive decline in aging and amyloid accumulation, two major risk factors for AD development.

neuroscience↗

bioRxiv2024

Discovering CRISPR-Cas system with self-processing pre-crRNA capability by foundation models

The discovery and functional annotation of CRISPR-Cas systems laid the groundwork for the development of novel CRISPR-based gene editing tools. Traditional similarity- search-based Cas discovery strategies, which rely heavily on local sequence alignment and reference Cas homologs, may overlook a significant number of remote homologs with limited sequence similarity; and it can not be applied directly for functional recognition. With the rapid development of protein large language models (LLMs), protein foundation models are expected to help model Cas systems with limited Cas homologs without extensive task-specific training data; however, the full potential of these models for Cas discovery and functional annotation has yet to be determined. To this end, we present a novel, effective and unified AI framework, CHOOSER (Cas HOmlog Observing and SElf-processing scReening), for alignment-free discovery of novel CRISPR-Cas systems with self-processing precursor CRISPR RNA (pre-crRNA) capability utilizing protein foundation models. CHOOSER successfully retrieved 11 novel homologs of Cas{lambda}, the majority of which are predicted to be able to self-process pre-crRNA, nearly doubling the current catalog. One of the candidates, EphcCas{lambda}, was subsequently experimentally validated for its ability to self-process pre-crRNA, target DNA cleavage, and trans-cleavage and was shown to be a promising candidate for use as a CRISPR-Cas-based pathogen detection system. Overall, our study provides an unprecedented perspective and methodology for discovering novel CRISPR-Cas systems with specific functions using foundation models, underscoring the potential for transforming newly identified Cas homologs into genetic editing tools.

bioinformatics↗

bioRxiv2024

The segmented flavivirus Alongshan virus reduces mitochondrial mass via degrading STAT2 to suppress innate immune response

Alongshan virus (ALSV) is a newly discovered pathogen of the Flaviviridae family, characterized by a multi-segmented genome distantly related to the canonical flaviviruses. Understanding the pathogenic mechanism of the emerging segmented flavivirus is crucial for the development of intervention strategies. Here we show that ALSV can infect multiple mammalian cells and induces the expression of antiviral genes. Moreover, ALSV is sensitive to IFN-{beta} and possesses the ability to counteract type I IFN response. Mechanistically, ALSVs nonstructural protein NSP1 binds to and degrades human STAT2 through an autophagy pathway in a species-dependent manner, resulting in direct inhibition of the expression of interferon-stimulated genes (ISGs). Specifically, NSP1 methyltransferase domain binds to the key sites of F175/R176 located in coiled-coil domain of STAT2. Moreover, NSP1-mediated degradation of STAT2 results in a reduction in mitochondrial mass by disrupting mitochondrial dynamics to induce mitophagy and inhibiting mitochondrial biogenesis, thereby suppressing the innate immune response. Interestingly, inhibiting mitophagy using 3-Methyladenine and enhancing mitochondrial biogenesis using the PPAR{gamma} agonist pioglitazone can reverse NSP1-mediated inhibition of ISGs, suggesting that promoting mitochondrial mass presents an effective antiviral strategy. Our findings elucidate the intricate regulatory crosstalk between ALSV and the hosts innate immune response, providing valuable insights into the pathogenesis and intervention strategy of emerging segmented flavivirus.

microbiology↗

bioRxiv2024

Schlafen-11 and -9 are innate immune sensors for intracellular single-stranded DNA

Nucleic acids are major structures detected by the innate immune system. Although intracellular single-stranded DNA (ssDNA) is accumulated during pathogen infection or pathogenesis, it remains unclear whether and how intracellular ssDNA stimulates the immune system. We report that intracellular ssDNA triggers cytokine expression and cell death in a CGT motif-dependent manner. Through a genome-wide CRISPRLCas9 screen, we identified Schlafen-11 (SLFN11), which is essential for the response to endogenous and pathogen ssDNA. SLFN11 directly binds ssDNA containing CGT motifs and translocates to the cytoplasm upon ssDNA recognition. The mice deficient in SLFN9, the homologue of SLFN11, were resistant to CGT ssDNA-induced inflammation, acute hepatitis and septic shock. This study establishes CGT ssDNA and SLFN11/9 as a novel type of immunostimulatory nucleic acids and pattern recognition receptors, respectively. One-sentence summariessingle-stranded DNA inside cells can awaken Schlafens with a CGT motif to trigger cytokine expression and lytic cell death.

immunology↗

bioRxiv2024

PocketGen: Generating Full-Atom Ligand-Binding Protein Pockets

Designing protein-binding proteins is critical for drug discovery. However, the AI-based design of such proteins is challenging due to the complexity of ligand-protein interactions, the flexibility of ligand molecules and amino acid side chains, and sequence-structure dependencies. We introduce PocketGen, a deep generative model that simultaneously produces both the residue sequence and atomic structure of the protein regions where ligand interactions occur. PocketGen ensures consistency between sequence and structure by using a graph transformer for structural encoding and a sequence refinement module based on a protein language model. The bilevel graph transformer captures interactions at multiple scales, including atom, residue, and ligand levels. To enhance sequence refinement, PocketGen integrates a structural adapter into the protein language model, ensuring that structure-based predictions align with sequence-based predictions. PocketGen can generate high-fidelity protein pockets with superior binding affinity and structural validity. It operates ten times faster than physics-based methods and achieves a 95% success rate, defined as the percentage of generated pockets with higher binding affinity than reference pockets. Additionally, it attains an amino acid recovery rate exceeding 64%.

bioinformatics↗

bioRxiv2024

Decoding the spatiotemporal dynamic neural representation of repetitive facial expression imitation

Imitating facial emotion expressions can facilitate social interactions, although the behavioral and neural spatiotemporal dynamics is unclear. Here participants (N=100) imitated facial emotions repeatedly over one month (16 times in total) with neural activity measured on three occasions using functional near-infrared spectroscopy. Additionally, the transfer effect of repeated imitation on emotional face and scene perception was assessed by fMRI with multivariate pattern analysis. Valence specific imitation performance was facilitated by the alterations in the similarity of spatiotemporal patterns evoked in the mirror neuron system (MNS) with information flow moving progressively towards the inferior frontal gyrus as the as the number of times of imitation increase. Furthermore, MNS representation predictive patterns of processing emotional faces, but not scenes, were enhanced. Overall, these findings provide a neural changes of information flow within MNS and advance our understanding of the spatiotemporal dynamics from novice to proficient of facial emotion imitation.

neuroscience↗

bioRxiv2024

The Gehan test identifies life-extending compounds overlooked by the log-rank test in the NIA Interventions Testing Program: Metformin, Enalapril, caffeic acid phenethyl ester, green tea extract, and 17-dimethylaminoethylamino-17-demethoxygeldanamycin hydrochloride.

The National Institute on Aging Interventions Testing Program (ITP) has so far identified 12 compounds that extend the lifespan of genetically heterogeneous mice using the log-rank test. However, the log-rank test is relatively insensitive to any compound that does not uniformly reduce mortality across the lifespan. This test may thus miss compounds that only reduce mortality before midlife, for example, a plausible outcome if a compound only mitigates risk factors before midlife or if its efficacy is reduced at later ages. We therefore reanalyzed all data collected by the ITP from 2004-2022 using the Gehan test, which is more sensitive to mortality differences earlier in the life course and does not assume a uniformly reduced mortality hazard across the lifespan. The Gehan test identified 5 additional compounds, metformin, enalapril, 17-dimethylaminoethylamino-17-demethoxygeldanamycin hydrochloride (17-DMAG), caffeic acid phenethyl ester (CAPE), and green tea extract (GTE), which significantly increased survival but were previously missed by the log-rank test. Three (metformin, enalapril, and 17-DMAG) were only effective in males and two (CAPE and GTE) were only effective in females. In addition, 1,3-butanediol, which by log-rank analysis increased survival in females but not males, increased survival in males by the Gehan test. These results suggest that statistical tests sensitive to non-uniformity of drug efficacy across the lifespan should be included in the standard statistical testing protocol to minimize overlooking geroprotective interventions.

bioinformatics↗

bioRxiv2024

Allelic DNA synthesis followed by template switching underlies BRCA1-linked tandem duplication

Microhomology-mediated short tandem duplication (TD) is among specific mutational signatures associated with BRCA1-deficient tumors. Several mechanisms have been proposed for its generation, but may not be applicable in repeat-less regions of the human genome. We thus developed a repeat-less TD reporter and a PCR-based site-specific TD assay to analyze short TDs induced by one-ended DNA double strand breaks (DSBs) converted from DNA nicks in Brca1-deficient cells. We found that short TDs induced by DNA nicks are significantly stimulated in Brca1-deficient cells. Analysis of TD products revealed that the TD formation is partly mediated by template switching of displaced nascent strand after allelic DNA synthesis. This suggests either allelic DNA synthesis or the strand annealing step of allelic break-induced replication might be more easily aborted in Brca1-deficient cells, thus promoting TD. Neither depletion of Rad51 or Brca2 nor inactivation of the Brca1 coiled-coil domain stimulated nick-induced TD, indicating that RAD51 loading by BRCA1 is dispensable for BRCA1-mediated TD suppression. These results together provide novel insights into the mechanisms underlying BRCA1-linked TD formation in cancer.

cancer biology↗

bioRxiv2024

Thyroid Hormone Suppresses Medulloblastoma Progression Through Promoting Terminal Differentiation of Tumor Cells

Hypothyroidism is commonly detected in patients with medulloblastoma (MB). A possible link between thyroid hormone (TH) signaling and MB pathogenicity has not been reported. Here, we find that TH plays a critical role in promoting tumor cell differentiation. Reduction in TH levels frees the TH receptor, TR1, to bind to EZH2 and repress expression of NeuroD1, a transcription factor that drives tumor cell differentiation. Increased TH reverses EZH2-mediated repression of NeuroD1 by abrogating the binding of EZH2 and TR1, thereby stimulating tumor cell differentiation and reducing MB growth. Importantly, TH-induced differentiation of tumor cells is not restricted by the molecular subgroup of MB. These findings establish an unprecedented association between TH signaling and MB pathogenicity, providing solid evidence for TH as a promising modality for MB treatment.

cancer biology↗

bioRxiv2024

Cell circuits underlying nanomaterial specific respiratory toxicology

Nanomaterials emerged as boundless resource of innovation, but their shape and biopersistence related to respiratory toxicology raise longstanding concerns. The development of predictive safety tests for inhaled nanomaterials, however, is hampered by limited understanding of cell type-specific responses. To advance this knowledge, we used single-cell RNA-sequencing to longitudinally analyze cellular perturbations in mice, caused by three carbonaceous nanomaterials of different shape and toxicity upon pulmonary delivery. Focusing on nanomaterial-specific dynamics of lung inflammation, we found persistent depletion of alveolar macrophages by fiber-shaped nanotubes. While only little involvement was observed for alveolar macrophages during the initiation phase, they emerged, together with infiltrating monocyte-derived macrophages, as decisive factors in shifting inflammation towards resolution for spherical nanomaterials, or chronic inflammation for fibers. Fibroblasts, central for fibrosis, sensed macrophage and epithelial signals and emerged as orchestrators of nanomaterial-induced inflammation. Thus, the mode of actions identified in this study will significantly inspire the precision of future in vitro testing. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=80 SRC="FIGDIR/small/579746v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@1d6f061org.highwire.dtl.DTLVardef@3fabb1org.highwire.dtl.DTLVardef@21040eorg.highwire.dtl.DTLVardef@1915c3b_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

bioRxiv2024

ChineseEEG: A Chinese Linguistic Corpora EEG Dataset for Semantic Alignment and Neural Decoding

An Electroencephalography (EEG) dataset utilizing rich text stimuli can advance the understanding of how the brain encodes semantic information and contribute to semantic decoding in brain-computer interface (BCI). Addressing the scarcity of EEG datasets featuring Chinese linguistic stimuli, we present the ChineseEEG dataset, a high-density EEG dataset complemented by simultaneous eye-tracking recordings. This dataset was compiled while 10 participants silently read approximately 11 hours of Chinese text from two well-known novels. This dataset provides long-duration EEG recordings, along with pre-processed EEG sensor-level data and semantic embeddings of reading materials extracted by a pre-trained natural language processing (NLP) model. As a pilot EEG dataset derived from natural Chinese linguistic stimuli, ChineseEEG can significantly support research across neuroscience, NLP, and linguistics. It establishes a benchmark dataset for Chinese semantic decoding, aids in the development of BCIs, and facilitates the exploration of alignment between large language models and human cognitive processes. It can also aid research into the brains mechanisms of language processing within the context of the Chinese natural language.

neuroscience↗