Biology subjects

Pan, Y.

Publications and source records attributed to Pan, Y..

At least 127 records · Page 7Linked to original sources

bioRxiv2024

Guided Visual Search is associated with a feature-based priority map in early visual cortex

Visual search models have long emphasised that task-relevant items must be prioritised for optimal performance. While it is known that search efficiency also benefits from active distractor inhibition, the underlying neuronal mechanisms are debated. Here, we used MEG in combination with Rapid Invisible Frequency Tagging (RIFT) to probe how neuronal excitability in early visual cortex is modulated during feature-guided visual search. Participants were instructed to indicate the presence or absence of a letter "T" presented amongst 16 and 32 "L"s. In the guided search condition, participants were informed about the colour of the "T" and could infer the colour of the irrelevant distractors. In the unguided search condition, the target colour was unknown. We found that guided search was associated with enhanced RIFT responses to the target colour, and decreased responses to the distractor colour compared to unguided search. These results conceptually replicated using both a conventional coherence approach, as well as with a General Linear Model approach based on a single-trial measure of the RIFT response. The present findings expand on previous reports based on electrophysiology and fMRI in humans and non-human primates by revealing that feature-guidance in visual search affects neuronal excitability as early as primary visual cortex.

neuroscience↗

bioRxiv2024

Fast hierarchical processing of orthographic and semantic parafoveal information during natural reading

Readers extract orthographic and semantic information from parafoveal words before fixating on them. While this has to be achieved within an intersaccadic interval, the neuronal mechanisms supporting this fast parafoveal word processing within the language network remain unknown. We co-registered MEG and eye-tracking data in a natural reading paradigm to uncover the neuronal mechanisms supporting parafoveal processing. Representational similarity analysis (RSA) revealed that parafoveal orthographic neighbours (e.g., "writer" vs. "waiter") showed higher representational similarity than non-neighbours (e.g., "writer" vs. "police"), emerging [~]68 ms after fixation onset on the preceding word (e.g., "clever") in the visual word form area. Similarly, parafoveal semantic neighbours (e.g., "writer" vs. "author") exhibited increased representational similarity at [~]137 ms in the left inferior frontal gyrus. Importantly, the degree of orthographic and semantic parafoveal processing predicted individual reading speed. Our findings suggest fast hierarchical processing of parafoveal words across distinct brain regions, which enhances reading efficiency.

neuroscience↗

bioRxiv2024

ElixirSeeker: A Machine Learning Framework Utilizing Attention-Driven Fusion of Molecular Fingerprints for the Discovery of Anti-Aging Compounds

Despite the growing interest in anti-aging drug development, high cost and low success rate pose a significant challenge. We present ElixirSeeker, a new machine-learning framework designed to help speed up the discovery of potential anti-aging compounds by utilizing the attention-driven fusion of molecular fingerprints. Our approach integrates molecular fingerprints generated by different algorithms and utilizes XGBoost to select optimal fingerprint lengths. Subsequently, we assign weights to the molecular fingerprints and employ Kernel Principal Component Analysis (KPCA) to reduce dimensionality, integrating different attention-driven methods. We trained the algorithm using DrugAge database. Our comprehensive analyses demonstrate that 64-bit Attention-ElixirFP maintains high predictive accuracy and F1 score while minimizing computational cost. Using ElixirSeeker to screen external compound databases, we identified a number of promising candidate anti-aging drugs. We tested top 6 hits and found that 4 of these compounds extend the lifespan of Caenorhabditis elegans, including Polyphyllin , Medrysone, Thymoquinone and Medrysone. This study illustrates that attention-driven fusion of fingerprints maximizes the learning of molecular activity features, providing a novel approach for high-throughput machine learning discovery of anti-aging molecules.

systems biology↗

bioRxiv2024

Epigenetic regulation of global proteostasis dynamics by RBBP5 ensures mammalian organismal health

Proteostasis is vital for cellular health, with disruptions leading to aging, neurodegeneration and metabolic disorders. Traditionally, proteotoxic stress responses were studied as acute reactions to various noxious factors; however, recent evidence reveals that many proteostasis genes exhibit [~]12h ultradian rhythms under physiological conditions in mammals, driven by an XBP1s-dependent 12h oscillator. By examining the chromatin landscape of this oscillator, we identified RBBP5 as an essential epigenetic regulator of global proteostasis dynamics. Mechanistically, as the core subunit of the SET1/COMPASS complex, RBBP5 co-activates XBP1s to facilitate dynamic proteostasis gene expression by marking promoter-proximal H3K4me3, which further recruits the Integrator Complex and SWI/SNF chromatin remodelers. Functionally, RBBP5 is indispensable for regulating both the 12h oscillator and acute transcriptional response to various proteotoxic stresses, including ER stress and nutrient deprivation. RBBP5 ablation causes increased susceptibility to proteotoxic stress, chronic inflammation, and hepatic steatosis in mice, along with impaired autophagy and reduced cell survival in vitro. In humans, lower RBBP5 expression is associated with reduced adaptive stress-response gene expression and hepatic steatosis. Our findings not only highlight a previously unrecognized epigenetic timing mechanism distinct from circadian regulation but also establish RBBP5 as a central regulator of proteostasis, essential for cellular resilience and organismal health. One sentence summaryRBBP5 regulates global mammalian proteostasis.

cell biology↗

bioRxiv2024

Potent and selective repression of SCN9A by engineered zinc finger repressors for the treatment of neuropathic pain

Peripheral neuropathies are estimated to affect several million patients in the US with no long-lasting therapy currently available. In humans, the Nav1.7 sodium channel, encoded by the SCN9A gene, is involved in a spectrum of inherited neuropathies, and has emerged as a promising target for analgesic drug development. The development of a selective Nav1.7 inhibitor has been challenging, in part due to structural similarities among other Nav channels. Here we present preclinical studies for the first genomic medicine approach using engineered zinc finger repressors (ZFRs) specifically targeting human/nonhuman primate (NHP) SCN9A. AAV-mediated delivery of ZFRs in human iPSC-derived neurons resulted in 90% reduction of SCN9A with no detectable off-target activity. To establish proof-of-concept, a ZFR targeting the mouse Scn9a was assessed in the SNI neuropathic pain mouse model, which resulted in up to 70% repression of Scn9a in mouse DRGs and was associated with reduction in pain hypersensitivity as measured by increased mechanical- and cold-induced pain thresholds. AAV-mediated intrathecal delivery of ZFR in NHPs demonstrated up to 60% repression of SCN9A in bulk DRG tissue and on single-cell levels in the nociceptors. The treatment was well tolerated in NHPs, and no dose-limiting findings were observed four weeks after a single intrathecal injection. Taken together, our results demonstrate that AAV-delivered ZFR targeting the SCN9A gene is promising and supports further development as a potential therapy for peripheral neuropathies.

neuroscience↗

bioRxiv2024

A near-complete genome assembly of the bearded dragon Pogona vitticeps provides insights into the origin of Pogona sex chromosomes

BackgroundThe agamid dragon lizard Pogona vitticeps is one of the most popular domesticated reptiles to be kept as pets worldwide. The capacity of breeding in captivity also makes it emerging as a model species for a range of scientific research, especially for the studies of sex chromosome origin and sex determination mechanisms. ResultsBy leveraging the CycloneSEQ and DNBSEQ sequencing technologies, we conducted whole genome and long-range sequencing for a captive-bred ZZ male to construct a chromosome-scale reference genome for P. vitticeps. The new reference genome is [~]1.8 Gb in length, with a contig N50 of 202.5 Mb and all contigs anchored onto 16 chromosomes. Genome annotation assisted by long-read RNA sequencing greatly expanded the P. vitticeps lncRNA catalog. With the chromosome-scale genome, we were able to characterize the whole Z sex chromosome for the first time. We found that over 80% of the Z chromosome remains as pseudo-autosomal region (PAR) where recombination is not suppressed. The sexually differentiated region (SDR) is small and occupied mostly by transposons, yet it aggregates genes involved in male development, such as AMH, AMHR2 and BMPR1A. Finally, by tracking the evolutionary origin and developmental expression of the SDR genes, we proposed a model for the origin of P. vitticeps sex chromosomes which considered the Z-linked AMH as the master sex-determining gene. ConclusionsOur study provides novel insights into the sex chromosome origin and sex determination of this model lizard. The near-complete P. vitticeps reference genome will also benefit future study of amniote evolution and may facilitate genome-assisted breeding.

genomics↗

bioRxiv2024

Small mammals in biodiversity hotspot harbor viruses of epidemic potential

Metagenomic sequencing has transformed our understanding of viral diversity in wildlife and its threat to human health. Despite this progress, many studies have lacked systematic and ecologically informed sampling, which has left numerous potentially emergent viruses undiscovered, and the drivers of their ecology and evolution poorly understood. We conducted an extensive analysis of viruses in the lung, spleen, and gut of 1,688 animals from 38 mammalian species across 428 sites in Yunnan, China--a hotspot for zoonotic diseases. We identified 162 mammalian viral species, including 102 novel species and 24 posing potential risks to humans due to their relationships with known pathogens associated with serious diseases and their ability to cross major host species barriers. Our findings offer an in-depth view of virus organotropism, cross-species transmission, host sharing patterns, and the ecological factors influencing viral evolution, all of which are critical for anticipating and mitigating future zoonotic outbreaks.

microbiology↗

bioRxiv2024

Metapipeline-DNA: A Comprehensive Germline & Somatic Genomics Nextflow Pipeline

SummaryThe price, quality and throughout of DNA sequencing continue to improve. Algorithmic innovations have allowed inference of a growing range of features from DNA sequencing data, quantifying nuclear, mitochondrial and evolutionary aspects of both germline and somatic genomes. To automate analyses of the full range of genomic characteristics, we created an extensible Nextflow meta-pipeline called metapipeline-DNA. Metapipeline-DNA analyzes targeted and whole-genome sequencing data from raw reads through pre-processing, feature detection by multiple algorithms, quality-control and data- visualization. Each step can be run independently and is supported robust software engineering including automated failure-recovery, robust testing and consistent verifications of inputs, outputs and parameters. Metapipeline-DNA is cloud-compatible and highly configurable, with options to subset and optimize each analysis. Metapipeline-DNA facilitates high-scale, comprehensive analysis of DNA sequencing data. AvailabilityMetapipeline-DNA is an open-source Nextflow pipeline under the GPLv2 license and is available at https://github.com/uclahs-cds/metapipeline-DNA.

bioinformatics↗

bioRxiv2024

SegFinder: an automated tool for identifying RNA virus genome segments through co-occurrence in multiple sequenced samples

Metagenomic sequencing has expanded the RNA virosphere, but many identified viral genomes remain incomplete, especially for segmented viruses. Traditional methods relying on sequence homology struggle to identify highly divergent segments and group them confidently within a single virus species. To address this, we developed a new bioinformatic tool - SegFinder - that identifies virus genome segments based on their common co-occurrence at similar abundance within segmented viruses. SegFinder successfully re-discovered all segments from a test data set of individual mosquito transcriptomes, which was also used to establish parameter thresholds for reliable segment identification. Using these optimal parameters, we applied SegFinder to 858 libraries from eight metagenomic sequencing projects, including vertebrates, invertebrates, plants, and environmental samples. Furthermore, we identified 108 (excluding RdRP) unique viral genome segments, of which 55 were novel and 32 showed no recognizable sequence homology to known sequences but which were verified by the presence of conserved sequences at the genome termini. SegFinder is also able to identify segmented genome structures in viruses previously considered to be predominantly unsegmented, and in doing so expanded the number of known families and orders of segmented RNA viruses, making it a valuable tool in an era of large-scale parallel sequencing.

bioinformatics↗

bioRxiv2024

Comprehensive evaluation and practical guideline of gating methods for high-dimensional cytometry data: manual gating, unsupervised clustering, and auto-gating

Cytometry is an advanced technique for simultaneously identifying and quantifying many cell surface and intracellular proteins at a single-cell resolution. Analyzing high-dimensional cytometry data involves identifying and quantifying cell populations based on their marker expressions. This study provided a quantitative review and comparison of various ways to phenotype cellular populations within the cytometry data, including manual gating, unsupervised clustering, and supervised auto-gating. Six datasets from diverse species and sample types were included in the study, and manual gating with two hierarchical layers was used as the truth for evaluation. For manual gating, results from five researchers were compared to illustrate the gating consistency among different raters. For unsupervised clustering, 22 tools were quantitatively compared in terms of accuracy with the truth and computing cost. While no method outperformed all others, several tools, including PAC-MAN, CCAST, FlowSOM, flowClust, and DEPECHE, generally demonstrated strong performance. For supervised auto-gating methods, four algorithms were evaluated, where DeepCyTOF and CyTOF Linear Classifier performed the best. We further provided practical recommendations on prioritizing gating methods based on different application scenarios. This study offers comprehensive insights for biologists to understand diverse gating methods and choose the best-suited ones for their applications.

bioinformatics↗

bioRxiv2024

Genomic and transcriptomic profiles influence on brain morphology and their interactions with pain sensitivity

Pain sensitivity varies widely among individuals and is influenced by a complex interplay of multi-omics factors, including genetic variations, gene expression, and brain morphology. While previous studies have identified associations between pain sensitivity and brain morphology, the exact mechanisms by which genetic profiles interact with brain structure to influence individual pain sensitivity remain unclear. In this study, we used aggregated datasets, including magnetic resonance imaging (MRI) and single nucleotide polymorphism (SNP) genotypes from 432 healthy participants, along with gene expression data from the Allen Human Brain Atlas (AHBA), to explore this multi-omics interplay. We first measured individual pain thresholds using laser stimuli and discovered structural brain differences between high and low pain sensitivity groups. We then identified two key gene sets with polarized expression patterns linked to brain morphology variations, enriched in functions related to ion channels and transmembrane transporter activities. Further statistical and mediation analyses revealed specific SNPs from ECM1, SLC24A2, and SCN9A genes that influence pain sensitivity, mediated through brain morphological changes in multiple basal ganglia regions. Our findings suggested that these SNPs not only affect brain structure but also modulate how individuals pain perception. Finally, we proposed an interpretation model integrating genomic, transcriptomic, and neuroimaging data, providing a detailed framework that illustrates the multi-omics contributions to individual difference in pain sensitivity. This study advances our understanding of how genetic and brain structural factors combine to shape pain perception, offering potential targets for personalized pain management strategies.

bioinformatics↗

bioRxiv2024

VirID: Beyond Virus Discovery - An Integrated Platform for Comprehensive RNA Virus Characterization

RNA viruses exhibit vast phylogenetic diversity and can significantly impact public health and agriculture. However, current bioinformatics tools for viral discovery from metagenomic data frequently generate false positive virus results, overestimate viral diversity, and misclassify virus sequences. Additionally, current tools often fail to determine virus-host associations, which hampers investigation of the potential threat posed by a newly detected virus. To address these issues we developed VirID, a software tool specifically designed for the discovery and characterization of RNA viruses from metagenomic data. The basis of VirID is a comprehensive RNA-dependent RNA polymerase (RdRP) database to enhance a workflow that includes RNA virus discovery, phylogenetic analysis, and phylogeny-based virus characterization. Benchmark tests on a simulated data set demonstrated that VirID had high accuracy in profiling viruses and estimating viral richness. In evaluations with real-world samples, VirID was able to identity RNA viruses of all type, but also provided accurate estimations of viral genetic diversity and virus classification, as well as comprehensive insights into virus associations with humans, animals, and plants. VirID therefore offers a robust tool for virus discovery and serves as a valuable resource in basic virological studies, pathogen surveillance, and early warning systems for infectious disease outbreaks.

bioinformatics↗

bioRxiv2024

Dynamic Localization of Leukemia Stem Cells via CXCL12 Regulates Leukemia Progression

The processes that govern leukemia progression and remission are poorly understood. Our research reveals that the CXCL12 gradient, traditionally associated with LSC quiescence and survival, critically determines LSC localization and associated behavior. Specifically, CXCL12 guides LSCs to either the quiescent niche in the metaphysis, characterized by N-cadherin-expressing mesenchymal stromal cells (N-cad+ MSCs), or the proliferative niche in the central marrow (CM), marked by sinusoidal endothelial cells and associated stromal cells. We identified that the CXCL12 gradient is finely regulated by the interplay between dipeptidyl peptidase 4 (DPP4) on LSCs and glypican-3 (GPC3) on N-cad+ MSCs. DPP4 deactivates CXCL12, while GPC3 inhibits DPP4, resulting in a higher CXCL12 concentration in the metaphysis and a lower concentration in the CM. This differential gradient facilitates leukemia progression by promoting LSC quiescence and survival in the metaphysis versus relative proliferation and apoptosis in the CM. Depletion of Dpp4 from LSCs or Cxcl12 from N-cad+ MSCs disrupts this gradient, mobilizing LSCs from the metaphysis to the CM and significantly hindering leukemia development. Our findings redefine the role of CXCL12 in LSC behavior and provide a clearer understanding of leukemia progression. This novel insight highlights the potential for targeted therapeutic strategies that disrupt the CXCL12 gradient to treat minimal residual LSCs, offering a promising path toward a lasting cure for acute myeloid leukemia (AML).

cancer biology↗

bioRxiv2024

Cross-modality representation and multi-sample integration of spatially resolved omics data

Spatially resolved sequencing technologies have revolutionized our understanding of biological regulatory processes within the microenvironment by accessing the states of genomic regions, genes and proteins as well as spatial coordinates of cells. However, discrepancies between different modalities and samples hinder the analysis of spatial omics data, necessitating the development of advanced computational methods. In this article, we propose PRESENT, an effective and scalable contrastive learning framework, for the cross-modality representation and multi-sample integration of spatial multi-omics, epigenomics and transcriptomics data. Through comprehensive experiments on spatial datasets, PRESENT demonstrates superior performance across various species, tissues, and technologies. Specifically, PRESENT effectively integrates spatial dependency and omics information simultaneously, facilitating the detection of spatially functional domains and the exploration of biological regulatory mechanisms. Furthermore, PRESENT can be extended for the integrative analysis of tissue samples across different dissected regions or developmental stages, promoting the identification of hierarchical structures from systematic and spatiotemporal perspectives.

bioinformatics↗

bioRxiv2024

The do not eat me signal CD47 contributes to microglial phagocytosis defects and autism-like behaviors in 16p11.2 deletion mice

Various pathological characteristics of autism spectrum disorder (ASD) stem from abnormalities in brain resident immune cells, specifically microglia, to prune unnecessary synapses or neural connections during early development. Animal models of ASD exhibit an abundance of synapses in different brain regions, which is strongly linked to the appearance of ASD behaviors. Overexpression of CD47 on neurons acts as a "dont eat me" signal, safeguarding synapses from inappropriate pruning by microglia. Indeed, CD47 overexpression occurs in 16p11.2 deletion carriers, causing decreased synaptic phagocytosis and the manifestation of ASD characteristics. However, the role of CD47 in synaptic pruning impairment leading to ASD phenotypes in the 16p11.2 deletion mouse model is unclear. Moreover, whether blocking CD47 can alleviate ASD mices behavioral deficits remains unknown. Here, we demonstrate a strong link between increased CD47 expression, decreased microglia phagocytosis capacity, and increased impairment in social novelty preference in the 16p11.2 deletion mice. The reduction in microglia phagocytosis caused a rise in excitatory synapses and transmission in the prefrontal cortex of 16p11.2 deletion mice. Importantly, blocking CD47 using a specific CD47 antibody or reducing CD47 expression using a specific shRNA enhanced the microglia phagocytosis and reduced excitatory transmission. Reduction in CD47 expression improved social novelty preference deficits in 16p11.2 mice. These findings demonstrate that CD47 contributes to the ASD phenotypes in the 16p11.2 deletion mice and could be a promising target for the development of treatment for ASD. Significance StatementAutism spectrum disorder (ASD) is a neurological developmental condition characterized by stereotyped behaviors and cognitive deficits. However, therapeutic options for ASD remain limited. Activation of the classical complement system, an innate immune signaling pathway component, supports microglia-mediated synaptic pruning during development and disease. In particular, CD47, a "dont eat me" signal, protects synapses from inappropriate clearance. Here, we investigated the role of CD47 in microglial phagocytosis using the 16p11.2 deletion mouse model, demonstrating that reducing CD47 signaling enhances microglial phagocytose synapses in the prefrontal cortex. This enhancement leads to improved synaptic function and reduced social behavioral deficits. These findings provide mechanistic insights into the role of CD47, laying the groundwork for developing more effective treatments for ASD.

neuroscience↗

bioRxiv2024

Brain-wide functional connectome analysis of 40,000 individuals reveals brain networks that show aging effects in older adults

The functional connectome changes with aging. We systematically evaluated aging related alterations in the functional connectome using a whole-brain connectome network analysis in 39,675 participants in UK Biobank project. We used adaptive dense network discovery tools to identify networks directly associated with aging from resting-state fMRI data. We replicated our findings in 499 participants from the Lifespan Human Connectome Project in Aging study. The results consistently revealed two motor-related subnetworks (both permutation test p-values <0.001) that showed a decline in resting-state functional connectivity (rsFC) with increasing age. The first network primarily comprises sensorimotor and dorsal/ventral attention regions from precentral gyrus, postcentral gyrus, superior temporal gyrus, and insular gyrus, while the second network is exclusively composed of basal ganglia regions, namely the caudate, putamen, and globus pallidus. Path analysis indicates that white matter fractional anisotropy mediates 19.6% (p<0.001, 95% CI [7.6% 36.0%]) and 11.5% (p<0.001, 95% CI [6.3% 17.0%]) of the age-related decrease in both networks, respectively. The total volume of white matter hyperintensity mediates 32.1% (p<0.001, 95% CI [16.8% 53.0%]) of the aging-related effect on rsFC in the first subnetwork.

neuroscience↗

bioRxiv2024

LucaOne: Generalized Biological Foundation Model with Unified Nucleic Acid and Protein Language

AbstractThe language of biology, encoded in DNA, RNA, and proteins, forms the foundation of life but remains challenging to decode due to its complexity. Traditional computational methods often struggle to integrate information across these molecules, limiting a comprehensive understanding of biological systems. Advances in Natural Language Processing (NLP) with pre-trained models offer new possibilities for interpreting biological language. Here, we introduce LucaOne, a pre-trained foundation model trained on nucleic acid and protein sequences from 169,861 species. Through large-scale data integration and semisupervised learning, LucaOne demonstrates an understanding of key biological principles, such as DNA-Protein translation. Using few-shot learning, it effectively comprehends the central dogma of molecular biology and performs competitively on tasks involving DNA, RNA, or protein inputs. Our results highlight the potential of unified foundation models to address complex biological questions, providing an adaptable framework for bioinformatics research and enhancing the interpretation of lifes complexity.

bioinformatics↗

bioRxiv2024

Nicotine Ameliorates α-synuclein Pre-formed Fibril-Induced Behavioral Deficits and Pathological Features in Mice

BackgroundEpidemiologic study suggests nicotine reduces risk of PD, could be potential treatment for Parkinsons disease. ObjectiveTo study the effect of nicotine on behavioral phenotypes and pathological characteristics of mice induced by human alpha-synuclein preformed fibers (-syn-PFF). MethodsMice were injected with 5 g of human -syn-PFF in the hippocampus while administering nicotine-containing drinking water (200g/mL). After 1 month, the motor ability, mood, spatial learning, and memory ability of the Parkinsons disease(PD)phenotype-like model were detected using open field, rotarod, Y maze, and O maze tests. The expression of pathological -syn, apoptotic proteins and the numbers of glial cells and neural stem cells in the hippocampus of mice were detected using western blotting and immunofluorescence. ResultsNicotine significantly reduced pathological -syn accumulation, -syn serine 129 phosphorylation and cell death caused by PFF injection in the hippocampus of mice, inhibited the increase of glial, microglia and apoptotic cells, decreased the expression levels of PI3K and Akt. ConclusionsNicotine may have inhibitory effects on human -syn-PFF-induced neuroinflammation and apoptosis. Thus, it reduces human -syn-PFF-induced behavioral deficits and pathological changes in mice.

animal behavior and cognition↗