Biology subjects

Jia, T.

Publications and source records attributed to Jia, T..

At least 19 recordsLinked to original sources

bioRxiv2026

Lateralised Transmission of Beta Oscillations From Cortex to Muscle During Movement Cancellation Reflects Selective Motor Inhibition

Beta oscillations in the sensorimotor cortex are modulated across various stages of motor control, including movement preparation and cancellation, and are known to project to the motor neuron pool and muscles during Go/No-Go tasks. While these oscillations have been linked to motor inhibition, the specificity of their transmission to end-effector muscles during movement cancellation remains unclear. We investigated the selectivity of beta-band activity using a lateralised Go/No-Go paradigm. Participants maintained steady bimanual wrist extensor contractions and either executed a unilateral ballistic wrist extension (Go) or cancelled the planned movement (No-Go). Concurrent electroencephalographic and electromyographic recordings were measured throughout. Successful movement cancellation was characterised by contralateral cortical beta modulation accompanied by stronger and more clearly lateralised peripheral beta synchronisation in the muscle associated with the suppressed movement. Peripheral beta activity exhibited greater magnitude and clearer separability between left- and right-sided conditions than cortical signals. These findings demonstrate effector-specific brain-to-muscle beta transmission during movement cancellation and highlight the potential of peripheral measures to provide enhanced resolution of motor cortical dynamics.

bioengineering↗

bioRxiv2026

Digital Twin Brain simulation and manipulation of a functional brain network underlying mental illness

Linking synaptic-level perturbations to distributed brain-network dynamics remains a central challenge for understanding and treating mental illness. Although recent whole-brain models can reproduce individual brain activity patterns, they largely function as descriptive simulators rather than mechanistic, intervention-capable systems. Here we present an intervention-capable digital twin of the human brain, integrating individual neuroanatomy and task-evoked dynamics within a neuronal-scale framework. Individualised digital twin brains recapitulate a participant-specific compact cortico-subcortical network phenotype that captures transdiagnostic psychopathology across population and clinical cohorts. In silico modulation of excitatory and inhibitory synaptic conductance produces bidirectional, heterogeneous network responses across individuals. Population-scale simulations stratify individuals and predict longitudinal symptom trajectories from DTB-derived response profiles. Independent pharmacological functional MRI data further validate the predicted baseline-dependent network responses in vivo. Together, these findings establish digital brain models as experimental platforms for mechanistic perturbation, behavioural prediction and stratification, providing a foundation for precision neuroscience and psychiatry.

neuroscience↗

bioRxiv2026

The SF3B1 inhibitor pladienolide B massively inhibits DNA damage signaling and repair and counteracts resistance to platinum salts in Non-Small Cell Lung Cancer

BackgroundLung cancer, including Non-Small Cell Lung Carcinoma (NSCLC), is the leading cause of cancer mortality worldwide. Platinum salts are the gold standard chemotherapy for NSCLC but many patients develop resistance leading to disease progression. Identifying new therapeutic strategies to counteract resistance is crucial. Pharmacological compounds targeting core components of the spliceosome machinery have emerged as promising anti-cancer agents. However, their mechanisms of action remain to be elucidated in NSCLC. MethodsVarious NSCLC cell lines were used in 2D and 3D cultures or clonogenic assays. NSCLC Patient-Derived Xenografts were also used. SF3B1 was silenced by siRNA. Flow cytometry was performed to analyze cell cycle distribution and apoptosis. Western-blot, immunofluorescence, SIRF analysis and DNA repair assays were done to assess globally the DNA damage response. RNA-Seq, RT-qPCR and RT-PCR studies were performed to identify gene and splicing events impacted by SF3B1 inhibition. Publicly available transcriptomic and proteomic data were analyzed. ResultsSF3B1 is a core component of the spliceosome machinery. We show that NSCLC cells with acquired resistance to platinum salts are vulnerable to pladienolide B, a SF3B1 inhibitor, or SF3B1 knock-down. Importantly, pladienolide B also slows down tumor growth of NSCLC Patient-Derived Xenografts (PDXs) poorly responsive to platinum salts. Mechanistically, we show that pladienolide B leads to genomic instability and apoptosis, that correlate with early transcription-dependent replication stress and DNA-PKcs activation, followed by the shutdown of ATR/DNA-PKcs-dependent signaling. In addition, pladienolide B profoundly regulates the expression and/or splicing, particularly exon skipping, of numerous genes involved in DNA repair, leading to decreased repair capacities of DNA double strand breaks. Although exon skipping events are mostly transient, skipping of exon 8 of MLH3, a gene involved in mismatch DNA repair, persisted along time. Finally, we show that pladienolide B counteracts resistance to platinum salts in NSCLC cells as well as PDXs, which correlates with enhanced MLH3 exon 8 skipping and decrease of ATR, DNA-PKCs and MLH3 protein levels. ConclusionsAs a whole, our data highlight the targeting of SF3B1 as a potential therapeutic strategy, alone or in combination, in NSCLC patients who escape platinum salts-based chemotherapy.

cancer biology↗

bioRxiv2025

VTA dopamine neuron activity produces spatially organized value representations

What is the neural architecture by which dopamine (DA) determines choice? Reinforcement learning (RL) has suggested an algorithmic chain: prediction errors based on reward train predicted values for stimuli and actions, and thereby determine choice. Elements of this chain have been identified, but have yet to be convincingly assembled. Here we used optogenetic stimulation of putative prediction error neurons at the top of this chain - i.e., DA neurons in the ventral tegmental area (VTA) - and recorded the activity of thousands of neurons in their target structure - the striatum - in mice performing a task that dissociates VTA DA signalling, stimulus value, action value, and choice. Conventional RL models captured some features of the data, including DA-driven choice reinforcement and value correlates, but failed on two key observations: i) action and state value correlates were relatively weak in the VTAs main target, the nucleus accumbens (NAc), and ii) VTA DA could not reinforce actions in the absence of a reward-predictive cue (CS+). Instead, we find that VTA DA produces stimulus value representations in the NAc, which in turn generates action value representations downstream (e.g. the CP). We formalize these observations in a Conditioned Reinforcer model, where VTA DA specifically acts on stimuli rather than actions, and these stimulus value representations are used to drive choice reinforcement.

neuroscience↗

bioRxiv2025

Multi-omics analysis reveals genetic regulatory mechanismsof muscle traits in wild and domesticated Bactrian camels

Bactrian camels, large domesticated animals adapted to extreme environments, have evolved under natural and artificial selection to suit their living conditions and meet human needs. In arid and semi-arid regions, they provide valuable resources through economically important traits such as meat, milk, and wool production, contributing significantly to both economy and ecology. However, research on gene function, adaptive evolution, and molecular mechanisms underlying complex traits in Bactrian camels remains limited, constraining the full utilization of their breeding potential and conservation efforts.To address this gap, we performed whole-genome resequencing (WGS) on 35 domesticated Bactrian camels from the Chinese Sunite local population and integrated this data with publicly available WGS data from 112 Asian Bactrian camels. Our comprehensive analysis revealed significant genetic differences and genomic features between wild and domesticated Bactrian camels. We further integrated 27 epigenomic (ATAC-seq) and transcriptomic (RNA-seq) datasets from eight biologically important tissues of four Bactrian camels, along with skeletal muscle scRNA-seq and scATAC data. This allowed us to identify tissue-specific genes, regulatory elements, and genes under positive selection.Our integrated analysis identified target genes and their upstream regulatory elements, including potential regulatory transcription factors, with a focus on positively selected regions in Bactrian camel muscle tissue. We constructed regulatory pathways from key SNPs to regulatory elements to genes, and for the first time, identified regulatory elements in major tissues of the Bactrian camel genome. Our results also summarized the single-cell transcriptional landscape of Bactrian camel skeletal muscle, revealing cellular heterogeneity and genetic expression patterns across two developmental stages.This comprehensive regulatory element map provides a valuable resource for genetic and genomic studies in Bactrian camels. It reveals key regulatory networks, important genes, and regulatory elements influencing muscle development, as well as potentially significant functional variants affecting meat production traits. These findings will provide crucial data support for future genetic improvement and breeding efforts in Bactrian camels.

genetics↗

bioRxiv2025

Replaying germinal center evolution on a quantified affinity landscape

Darwinian evolution of immunoglobulin genes within germinal centers (GCs) underlies the progressive increase in antibody affinity following antigen exposure. Whereas the cellular mechanics of how competition between B cells produces increases in affinity are well established, the evolutionary dynamics of this process are less clear. We developed an experimental evolution model where we "replay" over one hundred monoclonal GC reactions, assigning affinities to each cell using deep mutational scanning. Our data reveal how GCs achieve predictable outcomes by means of noisy but persistent selection on an affinity landscape whose exploration is heavily constrained by somatic hypermutation biases. We infer a fitness landscape that quantitatively recapitulates the affinity maturation trajectory of our clone and find that apparent features of GC selection such as permissiveness to low-affinity lineages and rapid plateauing of affinity are likely artifacts of survivorship biases that distort our view of how B cell affinity progresses over time.

immunology↗

bioRxiv2025

Xcr1+ type 1 conventional dendritic cells are essential mediators for atherosclerosis progression

BackgroundAtherosclerosis is characterized by lipid accumulation within plaques, leading to foam cell formation and an inflammatory response within the aortic lesions. Lipid disorders have been extensively investigated, however the cellular and molecular mechanisms that trigger the inflammatory response in atherosclerotic plaques remain far from being fully understood. Xcr1+ cDC1 cells are newly identified antigen-presenting cells in activating immune cells. However, the role of cDC1 cells in the development of atherosclerosis remains highly controversial. ResultsWe first confirmed the presence of cDC1 within human atherosclerotic plaques and discovered a significant association between the increasing cDC1 numbers and atherosclerosis progression in mice. Subsequently, we established Xcr1Cre-Gfp Rosa26LSL-DTA ApoE-/- mice, a novel and complex genetic model, in which cDC1 was constitutively depleted in vivo during atherosclerosis development. Intriguingly, we observed a notable reduction in atherosclerotic lesions in hyperlipidemic mice, alongside suppressed T cell activation of both CD4+ and CD8+ subsets in the aortic plaques. Notably, aortic macrophages and serum lipid levels were not significantly changed in the cDC1-depleted mice. Single-cell RNA sequencing revealed heterogeneity of Xcr1+ cDC1 cells across the aorta and lymphoid organs under hyperlipidemic conditions. As Xcr1 is the sole receptor for Xcl1, we next explored to target Xcr1+ cDC1 cells via Xcl1 by establishing Xcl1 and ApoE deficient mice. Xcl1 knockout mice exhibited decreased atherosclerotic plaque formation and reduced aortic cDC1 accumulation, indicating that Xcl1 contributes to cDC1-mediated atherosclerotic lesion development. ConclusionsOur results reveal crucial roles of cDC1 in atherosclerosis progression and provide insights into the development of immunotherapies by targeting cDC1 through Xcl1.

immunology↗

bioRxiv2025

Microfluidic Droplet-Assisted Single-Cell Raman Sorting for High-Throughput Screening of Functional Lignin-Degrading Microbes

Lignin, a major component of plant biomass, poses significant challenges for sustainable valorization due to its structural recalcitrance. Traditional microbial screening methods are hindered by culturability limitations and time-consuming workflows. This study introduces a novel Microfluidic Droplet-assisted Single-Cell Raman sorting system (MD-SCR sorting) to address these bottlenecks. By integrating droplet microfluidics with single-cell Raman spectroscopy (SCRS), the platform enables non-destructive, high-throughput screening of lignin-degrading microbes directly from environmental samples. A deuterium tracing strategy was developed, where microbial strains were cultured in lignin media containing 30% D2O. Raman detection of C-D bond vibrations (2040-2300 cm-1) allowed in situ identification of active degraders within 12 hours. The MD-SCR system achieved precise single-cell encapsulation, cultivation, and sorting using a custom-designed three-layered microfluidic chip. Validation experiments demonstrated strong correlation (R2=0.92) between %C-D values (quantifying deuterium assimilation) and traditional shake-flask degradation efficiency. Two lignin-degrading fungi (Pleurotus ostreatus G5 and P. eryngii PB) exhibited distinct C-D peaks, while non-degrading controls showed no deuterium incorporation. Laser intensity optimization (5% power) ensured spectral fidelity with >95% cell viability. The platforms label-free, culture-independent workflow facilitates rapid functional screening of unculturable microbes, overcoming limitations of fluorescence-based methods. This technology not only advances lignin bioconversion by enabling targeted isolation of high-efficiency degraders but also establishes a scalable framework for exploring complex microbiomes. By bridging metabolic phenotyping with single-cell resolution sorting, the MD-SCR system offers transformative potential for sustainable resource utilization and environmental biotechnology.

microbiology↗

bioRxiv2025

Brain Diffusion Transformer for Personalized Neuroscience and Psychiatry

Task-fMRI analyses typically focus on localized activation contrasts between stimuli, neglecting the brains dynamic hierarchy. We introduce Brain Diffusion Transformer (Brain-DiT), a deep generative model capturing recurrent processing underlying individualized neurocognitive state transitions via functional networks. Without prior assumptions, Brain-DiT identifies canonical cognitive regions in the brain and reveals replicable subgroups with distinct neural circuits in large cohorts, offering critical clinical insights overlooked by traditional methods: individuals exhibiting negative emotion bias, linked to language-related regions, had a 12-fold higher likelihood of major depression, and those with maladaptive inhibition strategies, associated with overactive medial frontal regions, showed a 9-fold increased risk of alcohol abuse. By bridging cognitive theory and psychiatric applications, Brain-DiT provides a unified analytical paradigm, paving the way for operational personalized medicine in psychiatry.

neuroscience↗

bioRxiv2025

Mapping the coupling between tract reachability and cortical geometry of the human brain

The study of cortical geometry and connectivity is prevalent in research on the human brain. However, these two aspects of brain structure are usually examined separately, leaving the essential connections between the brains folding patterns and white matter connectivity unexplored. In this study, we aimed to elucidate fundamental links between cortical geometry and white matter tract connectivity. We developed the concept of tract-geometry coupling (TGC) by optimizing the alignment between tract connectivity to the cortex and multiscale cortical geometry. Specifically, spectral analyses of the cortical surface yielded a set of geometrical eigenmodes, which were then used to explain the locations on the cortical surface reached by specific white matter tracts, referred to as tract reachability. In two independent datasets, we confirmed that tract reachability was well characterized by cortical geometry. We further observed that TGC had high test-retest ability and was specific to each individual. Interestingly, low-frequency TGC was found to be heritable and more informative than the high-frequency components in behavior prediction. Finally, we found that TGC could reproduce task-evoked cortical activation patterns. Collectively, our study provides a new approach to mapping coupling between cortical geometry and connectivity, highlighting how these two aspects jointly shape the connected brain.

neuroscience↗

bioRxiv2024

Projections between the globus pallidus externa and cortex span motor and non-motor regions

The globus pallidus externa (GPe) is a heterogenous nucleus of the basal ganglia, with intricate connections to other basal ganglia nuclei, as well as direct connections to the cortex. The anatomic, molecular and electrophysiologic properties of cortex-projecting pallidocortical neurons are not well characterized. Here we show that pallidocortical neurons project to diverse motor and non-motor cortical regions, are organized topographically in the GPe, and segregate into two distinct electrophysiological and molecular phenotypes. In addition, we find that the GPe receives direct synaptic input back from deep layers of diverse motor and non-motor cortical regions, some of which form reciprocal connections onto pallidocortical neurons. These results demonstrate the existence of a fast, closed-loop circuit between the GPe and the cortex which is ideally positioned to integrate information about behavioral goals, internal states, and environmental cues to rapidly modulate behavior.

neuroscience↗

bioRxiv2024

Arabidopsis SUFB and CLP protease regulate SUFBC2D to manipulate iron-sulfur cluster biosynthesis in chloroplast

Iron-sulfur (Fe-S) clusters are essential cofactors for Fe-S proteins. SUFBC2D complex is the scaffold responsible for Fe-S cluster assembly in chloroplasts. However, the regulatory mechanism on SUFBC2D remains elusive. In this study, we report that the transcription of SUFB responds rapidly to leaf senescence, whereas the transcription of SUFC and SUFD does not. Intriguingly, their protein contents remain stable during leaf senescence. We further found that leaf death was occurred only when SUFB RNAi was induced, and SUFB and SUFC contents decreased much faster in the SUFB-RNAi lines than in the SUFC-RNAi lines, indicating that SUFB had a faster turnover rate than SUFC. Moreover, overexpressing SUFB increased the contents of SUFC and SUFD, and SUFBC2D, whereas overexpressing SUFC did not increase SUFB and SUFD. Our findings reveal that SUFB stabilizes SUFC and SUFD via forming SUFBC2D, whereas SUFC lacks this function. Furthermore, SUFB expression was sharply downregulated when the plants were subjected to iron deficiency, whereas SUFC and SUFD expression was not. Interestingly, the contents of all three SUF members decreased, indicating that plants degrade SUFBC2D in response to iron deficiency by downregulating SUFB transcription. We subsequently studied the degradation mechanism of SUFBC2D. Our results indicated that all SUFs are substrates of the caseinolytic protease (CLP) because they all accumulated in the CLP impaired mutant, and they physically interact with CLPS1, the substrate recognition adaptor of CLP. Collectively, our findings provide novel insights into how plants regulate SUFBC2D complex via SUFB to adapt to leaf senescence and iron deficiency.

plant biology↗

bioRxiv2024

Genetic-Dependent Brain Signatures of Resilience: Interactions among Childhood Abuse, Genetic Risks and Brain Function

Resilience to emotional disorders is critical for adolescent mental health, especially following childhood abuse. Yet, brain signatures of resilience remain undetermined due to the differential susceptibility of the brains emotion processing system to environmental stresses. Analyzing brains responses to angry faces in a longitudinally large-scale adolescent cohort (IMAGEN), we identified two functional networks related to the orbitofrontal and occipital regions as candidate brain signatures of resilience. In girls, but not boys, higher activation in the orbitofrontal-related network was associated with fewer emotional symptoms following childhood abuse, but only when the polygenic burden for depression was high. This finding defined a genetic-dependent brain (GDB) signature of resilience. Notably, this GDB signature predicted subsequent emotional disorders in late adolescence, extending into early adulthood and generalizable to another independent prospective cohort (ABCD). Our findings underscore the genetic modulation of resilience-brain connections, laying the foundation for enhancing adolescent mental health through resilience promotion.

neuroscience↗

bioRxiv2023

Obesity status and its relative factors of captive Asian elephants (Elephas maximus) in China based on body condition assessment

Obesity is a common health problem in captive wildlife. Since the obesity status of captive Asian elephants (Elephas maximus) in China has not previously been investigated, we recorded seven relevant variables (sex, age, daily feed supply, proportion of high-calorie feed, outdoor enclosure area, outdoor time, and foot disorder) related to obesity in 204 captive Asian elephants through field investigation of 43 elephant-raising facilities. Assessment of obesity was based on visual body condition scoring for each individual. It revealed that obesity was prevalent for captive Asian elephants (especially elephants in zoos) in China. Over 70% of captive Asian elephants in China were overweight or in obesity to various degrees. Statistical analysis showed that for elephants in zoos, insufficient outdoor time might be the primary potential cause of obesity. We suggested facilities to extend the outdoor time and control the supply of high-calorie feed (e.g., fruits, vegetables, pellets, etc.) for captive elephants, thereby alleviating obesity through increased exercise and a suitable energy intake. Moreover, all facilities should implement positive reinforcement training to facilitate regular physical examinations, including foot health checks and blood sampling. This training would improve the ability to collect more precise information relating to elephant health, obesity, and the evaluation of animal welfare.

zoology↗

bioRxiv2023

A neural signature for the subjective experience of threat anticipation under uncertainty

Uncertainty about potential future threats and the associated anxious anticipation represents a key feature of anxiety. However, the neural systems that underlie the subjective experience of threat anticipation under uncertainty remain unclear. Combining a novel uncertain shock anticipation paradigm that allows precise modulation of the level of momentary anxious arousal during functional magnetic resonance imaging (fMRI) with multivariate predictive modeling, we trained a brain model that accurately predicted the intensity of subjective experience of anxious arousal on the population and individual level. In a series of analyses utilizing available fMRI datasets, we further demonstrate that the signature specifically predicted anxious anticipation and was not sensitive in predicting pain, general anticipation or unspecific arousal. The signature was functionally and spatially distinguishable from representations of subjective fear or negative affect. We developed a sensitive, generalizable, and specific neuromarker for subjective anxious arousal experienced during uncertain threat anticipation that can facilitate model development and clinical translation.

neuroscience↗

bioRxiv2021

Connectome-wide association analysis identified significant brain functional alteration in adults with attention-deficit/hyperactivity disorder

Adults with attention-deficit/hyperactivity disorder (ADHD), as an extreme-phenotype of ADHD, is still facing problems of inconsistency and undeciphered mechanisms for its neuropathology. To address this matter, our present study performed connecotome-wide voxel-based analyses with the resting-state fMRI data of 84 adults with ADHD and 89 healthy controls. We found that functional connectivity patterns of the left precuneus and the left middle temporal significantly altered in ADHD populations serving as potential neural biomarkers to distinguish ADHD with healthy controls, with subsequent seed-based analysis revealing the dysfunction of functional connections both intra- and inter-default mode and attention networks, among which middle temporal gyrus plays the key role of bridge linking the default mode and attention networks. After cognitive behavioral therapy, two of these ADHD-altered functional connections ameliorated accompanied with improvement of ADHD core symptoms. Additionally, imaging genetic analyses also revealed close relationships between the observed brain functional alterations and ADHD-risk genes. Taken together, our findings suggested the interference of default mode on attention networks in adults with ADHD, which would be severing as a potential biomarker for both ADHD pathogenesis and treatment effects.

neuroscience↗

bioRxiv2021

Isolation and characterization of fucosylated extracellular vesicles based on a novel GlyExo-Capture technique

Owing to their diagnostic and therapeutic potential, extracellular vesicles (EVs) derived from tumour cells have recently garnered great interest. The presence of different glycosylation sites at the EV surface supports the need for efficient glycosylated EV isolation. Here, we developed a GlyExo-Capture technique for robustly capturing fucosylated EVs from sera and cell supernatants. Lens culinaris lectin (LCA)-immobilized magnetic complexes were found to capture approximately 60% of the total EVs from HepG2 cells. The capture efficiency was reduced to less than 40% in nontumorigenic MIHA cells. Notably, the cellular uptake pattern of highly fucosylated EVs was markedly different from that of EVs with low fucosylation. The unearthing of enriched fucosylated EV miRNA cargos by next-generation deep sequencing (NGS) revealed 75 differentially expressed miRNAs (DEMs) in hepatocellular carcinoma (HCC). Among them, a 4-miRNA panel was chosen and yielded an area under the ROC curve (AUC) of 0.86 and 0.84 for the detection of HCC from non-HCC controls in testing samples and independent validation samples, respectively. The 4-miRNA signature was independent of alpha-fetoprotein (AFP), and a combined model with AFP yielded an increased AUC of 0.92. In conclusion, we developed a high-throughput method for capturing fucosylated EVs efficiently and shed light on the use of fucosylated EVs as potential sources of miRNAs for cancer biomarker detection.

cancer biology↗

bioRxiv2021

Divergence and convergence of cortical encoding during word reading in bilinguals

Word reading includes a series of cognitive processes that convert low-level visual characteristics to neural representations. However, the consistency of the neural mechanisms for processing these cognitive components across different writing systems in bilinguals remains inconclusive. Here, we explored this question by employing representational similarity analysis with a semantic access task involving Chinese words, English words and Chinese pinyin. Distinct anatomical distribution patterns were detected for each type of brain representation across ideographic and alphabetic languages, resulting in 100% classification accuracy. Meanwhile, convergent cognitive components processing was found in the core language-related regions in left hemisphere, including the inferior frontal gyrus, temporal pole, superior and middle temporal gyrus, precentral gyrus and supplementary motor areas. Broadly, our findings indicated that the neural basis for word recognition of different writing systems in bilinguals was divergent in anatomical locations of neural representations for specialized processing but convergent in cognitive domains, which supported and enriched the assimilation-accommodation hypothesis. TeaserCortical encoding linguistic processing across languages was support by parallel interdigitated distributed networks but convergent in cognitive domains.

neuroscience↗