Biology subjects

Sun, J.

Publications and source records attributed to Sun, J..

At least 181 records · Page 10Linked to original sources

bioRxiv2024

Integral-Omics: serial extraction and profiling of metabolome, lipidome, genome, transcriptome, whole proteome and phosphoproteome using biopsy tissue

The integrative multi-omics characterization of minute amount of clinical tissue specimens has become increasingly important. Here, we present an approach called Integral-Omics, which enables sequential extraction of metabolites, lipids, genomic DNA, total RNA, proteins, and phosphopeptides from a single biopsy-level tissue specimen. We benchmarked this method with various samples and applied the workflow to perform multi-omics profiling of tissues from six patients with colorectal cancer and found that tumor tissues exhibited suppressed ferroptosis pathway at multi-omics levels. Together, this study presents a methodology that enables sequential extraction and profiling of metabolomics, lipidomics, genomics, transcriptomics, proteomics and phosphoproteomics using biopsy tissue specimens.

biochemistry↗

bioRxiv2024

Translational profiling of stress-induced small proteins uncovers an unexpected connection among distinct signaling systems

Bacterial small proteins ([≤] 50 amino acids) are an emerging class of regulators that modulate the activity of signaling networks that enable bacterial adaptation to stress. The Escherichia coli genome encodes at least 150 small proteins, most of which are functionally uncharacterized. We identified and characterized 17 small proteins induced in E. coli during magnesium (Mg2+) starvation using ribosome profiling, RNA sequencing, and transcriptional reporter assays. Several of these were transcriptionally activated by the PhoQ-PhoP two-component signaling system, which is crucial for Mg2+ homeostasis. Deletion or overexpression of some of these small proteins led to growth defects and changes in cell size under low-Mg2+ conditions, indicating physiological roles in stress adaptation. The small transmembrane protein YoaI, which was transcriptionally induced by the phosphate-responsive PhoR-PhoB signaling pathway, increased in abundance under Mg2+ limitation independently of yoaI transcription or PhoQ-PhoP signaling. YoaI activated a third signaling system, EnvZ-OmpR, which mediates responses to osmotic stress. Overall, this study establishes an initial framework for understanding how small proteins contribute to bacterial stress adaptation by facilitating cross-talk between different signaling systems. Our results suggest these proteins play broader roles in coordinating stress responses, reflecting the interconnected nature of cellular stress networks rather than strictly compartmentalized pathways responding to specific stressors.

microbiology↗

bioRxiv2024

Cell cycle re-entry in the aging Drosophila brain.

The brain is an organ comprised mostly of long-lived, quiescent cells that perform vital functions throughout an animals life. Due to the brains limited regenerative ability, these long-lived cells must engage unique mechanisms to cope with accumulated damage over time. We have shown that a subset of differentiated neuronal and glial cells in the fruit fly brain become polyploid during adulthood. Cell cycle re-entry in the brain has previously been associated with neurodegeneration, but there may be a more complex relationship between polyploidy and cell fitness in the brain. Here, we examine how known lifespan modifiers influence the accumulation of polyploidy in the aging fly brain. Flies aged at a low temperature, or with a low protein diet, accumulate polyploid cells in the brain more slowly than expected if this phenotype were solely regulated by lifespan mechanisms. Despite the slower accumulation of polyploid cells, animals under conditions that extend lifespan eventually reach similar levels of polyploidy in the brain as controls. Our work suggests known lifespan modifiers can influence the timing of cell cycle re-entry in the adult brain, indicating there is a flexible window of cell cycle plasticity in the aging brain.

developmental biology↗

bioRxiv2024

Comprehensive double-mutant analysis of the Bacillus subtilis envelope using double-CRISPRi

Understanding bacterial gene function remains a major biological challenge. Double-mutant genetic interaction (GI) analysis addresses this challenge by uncovering the functional partners of targeted genes, allowing us to associate genes of unknown function with novel pathways and unravel connections between well-studied pathways, but is difficult to implement at the genome-scale. Here, we develop and use double-CRISPRi to systematically quantify genetic interactions at scale in the Bacillus subtilis envelope, including essential genes. We discover > 1000 known and novel genetic interactions. Our analysis pipeline and experimental follow-ups reveal the distinct roles of paralogous genes such as the mreB and mbl actin homologs, and identify new genes involved in the well-studied process of cell division. Overall, our study provides valuable insights into gene function and demonstrates the utility of double-CRISPRi for high-throughput dissection of bacterial gene networks, providing a blueprint for future studies in diverse bacterial species.

genomics↗

bioRxiv2024

The study on the impact of indoleacetic acid on enhancing the ability of the rumen's original microecology to degrade aflatoxin B1.

Aflatoxin B1 (AFB1) poses a serious threat to the health of cattle and is strictly monitored in their diets. Rumen microorganisms in cattle have the ability to degrade AFB1, but this capability is limited. Enhancing the degradation capacity of the original rumen microecology for AFB1 is a novel approach. From a molecular perspective,indoleacetic-3-acid (IAA) promotes the expression of cytochromes, which can improve the degradation of AFB1. Therefore, this study aims to investigate the impact of different concentrations of IAA on the degradation of AFB1 by the rumen microecology. Experiments used rumen fluid from three adult cows as donors, and the cows were all fed the same total mixed ration. Rumen fluid was collected from these three cannulated cows before morning feeding to prepare in vitro fermentation fluid. The experiments used a completely randomized design, with each treatment repeated four times. The results showed that as the fermentation time increased, the content of AFB1 gradually decreased, with a degradation rate of up to 75.73% after 24 h. AFB1 altered the rumen fermentation pattern, with a significant reduction in the content of acetic acid (P<0.05) and a significant decrease in the acetic acid to propionic acid ratio (P<0.05). It also affected the rumen microecology, causing a significant reduction in the abundance of Ruminococcus amylophilus, Prevotella ruminicola, and Fusobacterium succinogenes (P<0.05). In addition, this study found that with the increase in the amount of IAA added, the content of AFB1 in the rumen gradually decreased. IAA enhances the degradation capacity of the original rumen microecology for AFB1, and the addition of IAA alleviates the impact of AFB1 on Ruminococcus amylophilus, Prevotella ruminicola, and Fusobacterium succinogenes in the rumen (P<0.05). Moreover, the addition of IAA can promote the stability of the rumen microecology, with significantly higher acetic acid and acetic acid to propionic acid ratios in the fermentation fluid compared to the non-added group (P<0.05). In summary, the addition of IAA can improve the degradation capacity of the rumen microecology for AFB1, providing a new solution for alleviating the impact of AFB1 on animal health.

microbiology↗

bioRxiv2024

Time-resolved tracking of cellulose biosynthesis and microfibril network assembly during cell wall regeneration in live Arabidopsis protoplasts

Significance StatementCellulose is a major extracellular matrix component of cells that is critical for plant development and has applications to bioenergy, agricultural food/feed, textile, and wood production. Cellulose is thought to be assembled by the closely coordinated motion of plasma membrane-embedded cellulose synthase enzyme complexes. To date, however, it has not been possible to visualize de novo plant cell wall synthesis at the single cell level with the necessary spatiotemporal resolution to derive a data-driven model of how plant cells can resynthesize and assemble cell wall after its removal. Based on our time-resolved data, we propose a new model for cellulose biosynthesis after successfully performing live protoplast time-lapse imaging to visualize for the first time the complex dynamics of de novo cellulose biosynthesis and assembly into an intertwined microfibril network. Plant cell walls are composed of polysaccharides among which cellulose is the most abundant component. Cellulose is processively synthesized as bundles of linear {beta}-1,4-glucan homopolymer chains via the coordinated action of multiple enzymes in cellulose synthase complexes (CSCs) embedded within the plasma cell membrane. Plant cell walls are composed of multiple layers of cellulose fibrils that form highly intertwined extracellular matrix networks. However, it is not yet clear as to how cellulose fibrils synthesized by multiple CSCs are assembled into the intricate cellulose network deposited on plant cell surfaces. Herein, we have established an in vivo time-resolved imaging platform for visualizing cellulose during its biosynthesis and assembly into a complex fibrillar network on the surface of Arabidopsis thaliana mesophyll protoplasts as the primary cell wall regenerates. We performed total internal reflection fluorescence microscopy (TIRFM) with fluorophore-conjugated tandem carbohydrate binding modules (tdCBMs) that were engineered to specifically bind to nascent cellulose fibrils. Together with a well-controlled environment, it was possible to monitor in vivo cellulose fibril synthesis dynamics in a time-resolved manner for nearly one day of continuous cell wall regeneration on protoplast cell surfaces. Our observations provide the basis for a novel model of cellulose fibril network development in protoplasts driven by complex interplay of multi-scale dynamics that include: rapid diffusion and coalescence of short nascently synthesized cellulose fibrils; processive elongation of single fibrils; and cellulose fibrillar network rearrangement during cell wall maturation. This platform is valuable for exploring mechanistic aspects of cell wall synthesis while visualizing cellulose microfibrils assembly.

plant biology↗

bioRxiv2024

From circuits to lifespan: translating mouse and human timelines with neuroimaging based tractography

Age is a major predictor of developmental processes and disease risk, but humans and model systems (e.g., mice) differ substantially in the pace of development and aging. The timeline of human developmental circuits is well known. It is unclear how such timelines compare to those in mice. We lack age alignments across the lifespan of mice and humans. Here, we build upon our Translating Time resource, which is a tool that equates corresponding ages during development. We collected 477 time points (n=1,132 observations) from age-related changes in body, bone, dental, and brain processes to equate corresponding ages across humans and mice. We acquired high-resolution diffusion MR scans of mouse brains (n=12) at sequential stages of postnatal development (postnatal day 3, 4, 12, 21, 60) to trace the timeline of brain circuit maturation (e.g., olfactory association pathway, corpus callosum). We found heterogeneity in white matter pathway growth. The corpus callosum largely ceases to grow days after birth while the olfactory association pathway grows through P60. We found that a P3 mouse equates to a human at roughly GW24, and a P60 mouse equates to a human in teenage years. Therefore, white matter pathway maturation is extended in mice as it is in humans, but there are species-specific adaptations. For example, olfactory-related wiring is protracted in mice, which is linked to their reliance on olfaction. Our findings underscore the importance of translational tools to map common and species-specific biological processes from model systems to humans. Significance statementMice are essential models of human brain development, but we currently lack precise age alignments across their lifespan. Here, we equate corresponding ages across mice and humans. We utilize high-resolution diffusion mouse brain scans to track the growth of brain white matter pathways, and we use our cross-species age alignments to map the timeline of these growth patterns from mouse to humans. In mice, olfactory association pathway growth continues well into the equivalent of human teenage years. The protracted development of olfactory association pathways in mice aligns with their specialized sense of smell. The generation of translational tools bridges the gap between animal models and human biology while enhancing our understanding of developmental processes generating variation across species.

neuroscience↗

bioRxiv2024

VEHoP: A Versatile, Easy-to-use, and Homology-based Phylogenomic pipeline accommodating diverse sequences

Phylogenomics has emerged as a transformative approach in systematics, conservation biology, and biomedicine, enabling the inference of evolutionary relationships by leveraging hundreds to thousands of genes from genomic or transcriptomic data. However, acquiring high-quality genomes and transcriptomes necessitates samples with intact DNA and RNA, substantial sequencing investments, and extensive bioinformatic processing, such as genome/transcriptome assembly and annotation. This challenge is particularly pronounced for rare or difficult-to-collect species, such as those inhabiting the deep sea, where only fragmented DNA reads are often available due to environmental degradation or suboptimal preservation conditions. To address these limitations, we introduce VEHoP (Versatile, Easy-to-use Homology-based Phylogenomic pipeline), a tool designed to infer protein-coding regions from diverse inputs, including raw reads (short and long), draft genomes, transcriptomes, and annotated genomes. VEHoP automates the generation of orthologous sequence alignments, concatenated matrices, and phylogenetic trees, streamlining phylogenomic analyses for researchers across disciplines. The tool aims to (1) expand taxonomic sampling by accommodating a wide range of input data types and (2) simplify phylogenomic workflows, making them accessible to researchers with varying levels of bioinformatic expertise. We evaluated VEHoPs performance using datasets from oysters, catfish, and insects, demonstrating its ability to produce robust phylogenetic trees with strong bootstrap support, outperforming assembly-free methods. Additionally, we applied VEHoP to reconstruct the phylogeny of the enigmatic deep-sea gastropod order Neomphalida, successfully resolving a well-supported phylogenetic backbone for this poorly understood group. VEHoP is freely available on GitHub (https://github.com/ylify/VEHoP), with dependencies easily installable via Bioconda.

bioinformatics↗

bioRxiv2024

Empowering Integrative and Collaborative Exploration of Single-Cell and Spatial Multimodal Data with SGS

Recent advancements in single-cell and spatial omics technologies have revolutionized our ability to capture multiple modalities data at a genome-wide scale within individual cells. However, visualizing these large-scale, high-dimensional, and complex datasets poses significant challenges. Here, we present SGS, a user-friendly, collaborative and versatile browser for visualizing single-cell and spatial multiomics data. SGS incorporates a novel genome browser framework, flexible visualization modules and a multi-panel adaptive communication mechanism to enable the synchronous visualization of diverse datasets. Notably, SGS empowers users with advanced capabilities for comparative visualization, through features like scCompare, scMultiView, and dual-chromosome module. Additionally, by adopting the "workstation concept", SGS enables data fast visualization and collaborative exploration. We showcase the potential of SGS in the comparative visualization and coordinated exploration of mutlimodal data with two examples. SGS is publicly available at https://sgs.bioinfotoolkits.net/home.

bioinformatics↗

bioRxiv2024

Genomics-FM: Universal Foundation Model for Versatile andData-Efficient Functional Genomic Analysis

Artificial intelligence (AI) plays a crucial role in functional genomic analysis, offering great potential for comprehending biological phenomena such as heredity, development, diseases, and evolution. However, the development of AI models needs substantial labeled data, and these models are typically task-specific with limited generalizability to various applications. Here, we develop Genomics-FM, a genomic vocabulary driven foundation model that enables versatile and label-efficient functional genomic analysis. Specifically, Genomics-FM is first pretrained with ensemble genomic vocabulary on vast unlabelled data to learn comprehensive and generalizable representations and then finetuned with specific genomic vocabulary on limited labeled data to selectively activate and adapt the pretraining knowledge for specific tasks. We show that Genomics-FM significantly reduces the dependence on labeled data, and demonstrates the capability to outperform existing models across a comprehensive suite of tasks including genome annotation, epigenomic and expression profile prediction, and variant effect assessment. Remarkably, Genomics-FM even shows impressive zero-shot predictive capabilities across diverse species and tissues and exhibits noticeable adaptability to RNA-related tasks. With feasibility in data scarcity and even cross-domain biological scenarios, Genomics-FM will promote the broad application of AI and empower researchers to tackle previously insurmountable challenges, paving the way for groundbreaking research and discoveries.

bioinformatics↗

bioRxiv2024

RAB12-LRRK2 Complex Suppresses Primary Ciliogenesis and Regulates Centrosome Homeostasis in Astrocytes

Leucine-rich repeat kinase 2 (LRRK2) phosphorylates a subset of RAB GTPases, and the phosphorylation levels are elevated by Parkinsons disease (PD)-linked mutations of LRRK2. However, the precise function of the specific RAB GTPase targeted by LRRK2 signaling in the brain remains to be elucidated. Here, we identify RAB12 as a robust LRRK2 substrate in the mouse brains through phosphoproteomics profiling and solve the structure of RAB12-LRRK2 protein complex through Cryo-EM analysis. Mechanistically, RAB12 cooperates with LRRK2 to inhibit primary ciliogenesis and regulate centrosome homeostasis in astrocytes through enhancing the phosphorylation of RAB10 and recruiting Rab interacting lysosomal protein like 1 (RILPL1), while the functions of RAB12 require a direct interaction with LRRK2 and LRRK2 kinase activity. Furthermore, the ciliary deficits and centrosome alteration caused by the PD-linked LRRK2-G2019S mutation are prevented by the deletion of Rab12 in astrocytes. Thus, our study reveals a physiological function of the RAB12-LRRK2 complex in regulating ciliogenesis and centrosome homeostasis. The RAB12-LRRK2 structure offers a guidance in the therapeutic development of PD by targeting the RAB12-LRRK2 interaction.

neuroscience↗

bioRxiv2024

Neuronal GPCR NMUR-1 regulates energy homeostasis in response to pathogen infection

A key question in current immunology is how the innate immune system generates high levels of specificity. Our previous study in Caenorhabditis elegans revealed that NMUR-1, a neuronal G protein-coupled receptor homologous to mammalian receptors for the neuropeptide neuromedin U (NMU), regulates distinct innate immune responses to different bacterial pathogens. Here, by using quantitative proteomics and functional assays, we discovered that NMUR-1 regulates F1FO ATP synthase and ATP production in response to pathogen infection, and that such regulation contributes to NMUR-1-mediated specificity of innate immunity. We further demonstrated that ATP biosynthesis and its contribution to defense is neurally controlled by the NMUR-1 ligand CAPA-1 and its expressing neurons ASG. These findings indicate that NMUR-1 neural signaling regulates the specificity of innate immunity by controlling energy homeostasis as part of defense against pathogens. Our study provides mechanistic insights into the emerging roles of NMU signaling in immunity across animal phyla.

immunology↗

bioRxiv2024

Seasonal influenza A virus lineages exhibit divergent abilities to antagonize interferon induction and signaling

The circulation of seasonal influenza A viruses (IAVs) in humans relies on effective evasion and subversion of the host immune response. While the evolution of seasonal H1N1 and H3N2 viruses to avoid humoral immunity is well characterized, relatively little is known about the evolution of innate immune antagonism phenotypes in these viruses. Numerous studies have established that only a small subset of infected cells is responsible for initiating the type I and type III interferon (IFN) response during IAV infection, emphasizing the importance of single cell studies to accurately characterize the IFN response during infection. We developed a flow cytometry-based method to examine transcriptional changes in IFN and interferon stimulated gene (ISG) expression at the single cell level. We observed that NS segments derived from seasonal H3N2 viruses are more efficient at antagonizing IFN signaling but less effective at suppressing IFN induction, compared to the pdm2009 H1N1 lineage. We compared a collection of NS segments spanning the natural history of the current seasonal IAV lineages and demonstrate long periods of stability in IFN antagonism potential, punctuated by occasional phenotypic shifts. Altogether, our data reveal significant differences in how seasonal and pandemic H1N1 and H3N2 viruses antagonize the human IFN response at the single cell level.

microbiology↗

bioRxiv2024

Basal Cambrian soft-bodied segmented bilaterians preserved as microbial pseudomorphs

Before Cambrian Stage 3, unambiguous body fossils of segmented bilaterians were rare, severely hampering our understanding of the early history of such important animals. Here we report a variety of microfossils with quintessential features such as paired appendages, dorsoventral and anteroposterior differentiations from the basal Cambrian Fortunian of South China, representing the earliest known three-dimensional body fossils of segmented bilaterians. These fossils were all microbial pseudomorphs built up by secondarily phosphatized bacteria aggregations, testifying microbial pseudomorph could serve as a novel and important pathway to preserve tiny, fragile bilaterian progenitors. This finding unveils a diversified segmented bilaterian world at the very beginning of Cambrian and would arouse a more comprehensive perspective on the early evolution of bilaterian body plans.

paleontology↗

bioRxiv2024

tRNA modification profiling reveals epitranscriptome regulatory networks in Pseudomonas aeruginosa

Transfer RNA (tRNA) modifications have emerged as critical posttranscriptional regulators of gene expression affecting diverse biological and disease processes. While there is extensive knowledge about the enzymes installing the dozens of post-transcriptional tRNA modifications - the tRNA epitranscriptome - very little is known about how metabolic, signaling, and other networks integrate to regulate tRNA modification levels. Here we took a comprehensive first step at understanding epitranscriptome regulatory networks by developing a high-throughput tRNA isolation and mass spectrometry-based modification profiling platform and applying it to a Pseudomonas aeruginosa transposon insertion mutant library comprising 5,746 strains. Analysis of >200,000 tRNA modification data points validated the annotations of predicted tRNA modification genes, uncovered novel tRNA-modifying enzymes, and revealed tRNA modification regulatory networks in P. aeruginosa. Platform adaptation for RNA-seq library preparation would complement epitranscriptome studies, while application to human cell and mouse tissue demonstrates its utility for biomarker and drug discovery and development.

genetics↗

bioRxiv2024

Perfringolysin O pore-forming complexes are predominantly integral multiples of six subunits

Perfringolysin O is a well-studied bacterial cytolysin that forms large oligomeric pores with a wide range of sizes on membranes via a prepore intermediate. Here we examined the sizes of both PFO prepore and pore complexes electrophoretically using a multi-stack-gradient gel and found that, unexpectedly, there are only at most seven predominant sizes of either pores or prepores. Complexes extracted from each band exhibit contour lengths that are integral multiples of six subunits. High-resolution atomic force microscopy images of PFO pore complexes in supported bilayers also reveal a predominant hexameric-based stoichiometry. Thus, these results reveal a previously unknown structural hierarchy in PFO complexes, with larger complexes apparently built up from hexameric sub-complexes. We suggest that different inter-subunit interactions within and between the hexamers result in a likewise difference in the coordination of the prepore-to-pore transition within and between the hexamers, and is thus a critical feature of the allostery of this large multi-subunit complex.

biophysics↗

bioRxiv2024

The silicon transporters (SITs) gene was found in Synechococcus sp. XM24

Silicate serves as a crucial nutrient for diatoms, which are capable of absorbing dissolved silicon from their surroundings through silicon transporters (SITs), thus playing a significant role in the global oceans silicon cycle. Recent studies have indicated that marine single-celled Synechococcus also has the ability to accumulate silicon. Given that the evolution of Synechococcus predates that of diatoms, it is postulated that Synechococcus may utilize transporters such as SITs found in diatoms, to absorb dissolved silicon in the ocean. This research delves into the silicon accumulation in Synechococcus sp. XM24, particularly focusing on two key aspects. Firstly, the study investigates the potential presence of SITs in Synechococcus sp. XM24 under the condition of Depleted-Repleted silicate. Subsequently, two gene sequences suspected to encode SITs, were identified, and their protein sequences and functions were successfully predicted, shedding light on their involvement in membrane transport processes.

microbiology↗

bioRxiv2024

Still waters run deep: Large scale genome rearrangements in the evolution of morphologically conservative Polyplacophora

BackgroundA major question in animal evolution is how genotypic and phenotypic changes are related, and whether ancient gene order is conserved in living clades. Chitons, the molluscan class Polyplacophora, retain a body plan and general morphology apparently little changed since the Palaeozoic. We present a comparative analysis of five reference quality genomes, including four de novo assemblies, covering all major chiton clades, and an updated phylogeny for the phylum. ResultsWe constructed 20 ancient molluscan linkage groups (MLGs) that are relatively conserved in bivalve karyotypes, but subject to re-ordering, rearrangement, fusion, or partial duplication among chitons, varying even between congeneric species. The largest number of novel fusions is in the most plesiomorphic clade Lepidopleurida, and the chitonid Liolophura japonica has a partial genome duplication, extending the occurrence of large-scale gene duplication within Mollusca. ConclusionsThe extreme and dynamic genome rearrangements in this class stands in contrast to most other animals, demonstrating that chitons have overcome evolutionary constraints acting on other animal groups. The apparently conservative phenome of chitons belies rapid and extensive changes in genome.

genomics↗