Biology subjects

Ling, F.

Publications and source records attributed to Ling, F..

16 recordsLinked to original sources

bioRxiv2025

High-throughput Mucus Microrheology for Phenotyping and Disease Modeling

Mucus mechanics regulate barrier, clearance, and transport functions across epithelial tissues, yet quantitative rheology remains difficult to scale because available assays require large volumes, specialized equipment, or extensive manual analysis. Here, a high-throughput microrheology workflow based on Differential Dynamic Microscopy is established for frequency-dependent measurements from 3-10 uL mucus samples and intact mucosal surfaces using standard epifluorescence microscopy. The workflow combines preloaded tracer chambers, controlled sample handling, short video acquisition, and automated analysis to reduce operator intervention while preserving sensitivity to mucus relaxation on 1--20 s time scales. Validation against shear rheometry and particle tracking in reconstituted mucin gels shows robust recovery of viscoelastic trends across mucus-like material states. Applications in human airway epithelial air--liquid interface cultures resolve culture-medium, age, donor, COPD, cigarette-smoke, cystic-fibrosis treatment, and IL-13-associated differences, including spatial heterogeneity in situ. Measurements of clinical cervical mucus further demonstrate parallel testing of scarce specimens and sensitivity to osmotic swelling. This platform provides a scalable route to quantitative mucus phenotyping for disease modeling, therapeutic testing, and future precision-medicine studies.

bioengineering↗

bioRxiv2023

Structure-function relationships of mucociliary clearance in the human airways

Mucociliary clearance is a vital defense mechanism of the human airways, protecting against harmful particles and infections. When this process fails, it contributes to respiratory diseases like chronic obstructive pulmonary disease (COPD) and asthma. While advances in single-cell transcriptomics have revealed the complexity of airway composition, much of what we know about how airway structure impacts clearance relies on animal studies. This limits our ability to create accurate human-based models of airway diseases. Here we show that the airways in female rats and in humans exhibit species-specific differences in the distribution of ciliated and secretory cells as well as in ciliary beat, resulting in significantly higher clearance effectiveness in humans. We further reveal that standard lab-grown cultures exhibit lower clearance effectiveness compared to human airways, and we identify the underlying structural differences. By combining diverse experiments and physics-based modeling, we establish universal benchmarks to assess human airway function, interpret preclinical models, and better understand disease-specific impairments in mucociliary clearance.

biophysics↗

bioRxiv2023

Chemical genetic interaction linking eIF5A hypusination and mitochondrial integrity

The eukaryotic translation factor eIF5A plays an important role in translation elongation, especially across stretches of prolines and charged amino acids, and in translation termination. eIF5A undergoes hypusination, a post-translational modification unique to this protein, although the role of hypusination in the function of eIF5A remains elusive. Here, we investigated the cellular defects induced by the hypusination inhibitor GC7 (N1-guanyl-1,7-diaminoheptane). Proteome, translatome, and transcriptome analyses indicated that GC7 downregulated a subset of mitochondrial proteins and DNA, causing mitochondrial stress and eliciting the integrated stress response. Chemical genomic screening using barcoded shRNA libraries identified genes encoding proteins involved in polyamine metabolism/transport and MPV17L2, a mitochondrial disease gene homologue whose product regulates mitochondrial translation. Depletion of MPV17L2 caused hypersensitivity to GC7 and phenocopied the effects of GC7 treatment. These results suggest that eIF5A hypusination and MPV17L2 synthetically regulate mitochondrial molecular synthesis and integrity.

cell biology↗

bioRxiv2023

Interpretable and Generalizable Strategies for Stably Following Hydrodynamic Trails

Aquatic animals offer compelling evidence that flow sensing alone, without vision, is sufficient to guide a swimming organism to the source of an unsteady hydrodynamic trail. However, the sensory feedback strategies that allow these remarkable trail tracking abilities remain opaque. Here, by integrating mechanistic flow simulations with reinforcement learning techniques, we discovered two simple and equally effective strategies for hydrodynamic trail following. Though not a priori obvious, these strategies possess parsimonious interpretations, analogous to Braitenbergs simplest vehicles, where the agent senses local flow signals and turns away from or toward the direction of stronger signals. A rigorous stability analysis shows that the effectiveness of these strategies in robustly tracking flow currents is independent of the type of sensor but depends on sensor placement and the traveling nature of the flow signal. Importantly, these results inform a suite of versatile strategies for hydrodynamic trail following applicable to both vortical and turbulent flows. These insights support the future design and implementation of adaptive real-time sensory feedback strategies for autonomous robots in dynamic flow environments.

biophysics↗

bioRxiv2023

SPIN-CGNN: Improved fixed backbone protein design with contact map-based graph construction and contact graph neural network

Recent advances in deep learning have significantly improved the ability to infer protein sequences directly from protein structures for the fix-backbone design. The methods have evolved from the early use of multi-layer perceptrons to convolutional neural networks, transformer, and graph neural networks (GNN). However, the conventional approach of constructing K-nearest-neighbors (KNN) graph for GNN has limited the utilization of edge information, which plays a critical role in network performance. Here we introduced SPIN-CGNN based on protein contact maps for nearest neighbors. Together with auxiliary edge updates and selective kernels, we found that SPIN-CGNN provided a comparable performance in refolding ability by AlphaFold2 to the current state-of-the-art techniques but a significant improvement over them in term of sequence recovery, perplexity, deviation from amino-acid compositions of native sequences, conservation of hydrophobic positions, and low complexity regions, according to the test by unseen structures and "hallucinated" structures. Results suggest that low complexity regions in the sequences designed by deep learning techniques remain to be improved, when compared to the native sequences.

bioinformatics↗

bioRxiv2023

Life stage and vaccination shape the gut microbiome of hatchery-reared Atlantic salmon (Salmo salar)

Microbiomes play an essential role in promoting host health and fitness, but the factors affecting variation in gut microbiomes among individuals are not fully understood. Investigating the microbiome under different conditions is needed to link gut microbiomes to host physiology and potentially design manipulations to improve rearing success of captive species. In this study, we characterized the gut microbiomes of Atlantic salmon (Salmo salar) in individuals at different life stages, vaccination status, and hatchery origin. Microbiomes differed between age-0 sub-adults and adults, with sub-adults exhibiting higher diversity and more similar communities when compared to adults. We also found that vaccines against bacterial kidney disease reduced gut microbial diversity within individual sub-adult salmon, resulting in dissimilar gut microbial communities among individuals. The diversity and structure of microbiomes did not differ between groups of adults that were reared in two different hatcheries and sampled from the wild. Sub-adults, particularly unvaccinated sub-adults, displayed a strong core microbiome present in the majority of individuals. Our results suggest that life stage and vaccination status are essential factors in the gut microbiome development of salmon. Conditions experienced during early life stages appear to have a strong influence on the microbiome, but differences among individuals at early life stages may be lost due to environmental factors experienced later in life. The plasticity of the microbiome throughout the life of individuals may have important implications for understanding host health, with potential applications for improving the rearing and reintroduction success of the ecologically and economically important Atlantic salmon. IMPORTANCEThe Atlantic salmon (Salmo salar) is a globally important fisheries and aquaculture species, but the factors affecting gut microbiomes of hatchery-reared fish are not fully understood. Our study explores the influence of life stage, vaccination status, and hatchery origin on the composition and structure of the Atlantic salmon gut microbiome. We found that life stage is an important driver of gut microbiome diversity, likely driven by differences in habitat and diet. Vaccination against bacterial kidney disease led to marked declines in gut microbial diversity within individuals, resulting in highly distinct gut microbial communities among individuals. Hatchery origin did not have a strong influence on adult Atlantic salmon captured from the wild. These findings suggest that life stage and vaccination drive variation in Atlantic salmon microbiomes, but the stability and long-term implications of such variation on host health should be considered in future microbiome research.

microbiology↗

bioRxiv2023

Flow Physics Explains Morphological Diversity of Ciliated Organs

Organs that pump fluids by the coordinated beat of motile cilia through the lumen are integral to animal physiology. Such organs include the human air-ways, brain ventricles, and reproductive tracts. Although cilia organization and duct morphology vary drastically in the animal kingdom, ducts are typically classified as either carpet or flame designs. The reason behind this di-chotomy and how duct design relates to fluid pumping remain unclear. Here, we demonstrate that two structural parameters - lumen diameter and cilia-to-lumen ratio - organize the observed duct diversity into a continuous spectrum that connects carpets to flames across all animal phyla. Using a unified fluid model, we show that carpet and flame designs maximize flow rate and pressure generation, respectively. We propose that convergence of ciliated organ designs follows functional constraints rather than phylogenetic distance, along with universal design rules for ciliary pumps.

biophysics↗

bioRxiv2022

The First Insight into the Epigenetic Fusion Gene Landscape of Acute Myeloid Leukemia

Epigenetic fusion genes have been defined as the fusion genes produced via cis-splicing of read-through pre-mRNAs of two identical-strand neighbor genes and have been known for decades. However, they need to be adequately investigated. In this study, we analyze RNA-Seq data from 390 AML patients and identify 12,754 EFG isoforms encoded by 5,213 EFGs, one-sixth of all potential EFGs. We characterize 479 EFG isoforms whose recurrent frequencies range from 10% to 96.2% and show that most of them result from developmental interactions between recurrent inherited genetic and environmental abnormalities. Novel EFG isoforms generated during late developments reflect somatic genetic abnormalities and environmental stresses. These characteristics of EFG isoforms make it possible for clustering heatmap and counting for EFG isoforms to distinguish GTEx healthy individuals and AML patients. This study reveals that human genomes encode potential EFGs equal to the total number of human genes and pseudogenes. EFGs provide one of the most powerful and economical tools to monitor the earliest signals from somatic genetic and environmental abnormalities.

genomics↗

bioRxiv2022

Hereditary Fusion Genes Are Associated with the Inheritance of Acute Myeloid Leukemia

Fusion genes are thought to be somatic and cause cancer, including acute myeloid leukemia (AML). Validating highly-recurrent fusion genes in healthy samples compelled us to systematically study hereditary fusion genes (HFGs). Here, we used curated HFGs to analyze AML fusion genes, and we identified 243 HFGs associated with AML inheritance from 926 potential HFGs. Many HFGs were one-to-many and many-to-one fusions that augmented signals from environmental and genomic alterations and seemed to support the "two-hit" hypothesis. The most highly-recurrent HFGs were also observed in multiple myeloma and monozygotic twin datasets, suggesting that AML is a complex genetic disease. HFGs, as cancer genetic biomarkers, are the most basic foundations for future genetic and genomic studies.

genetics↗

bioRxiv2022

RefDeduR: A text-normalization and decision-tree aided R package enabling accurate and high-throughput reference deduplication for large datasets

As the scientific literature grows exponentially and research becomes increasingly interdisciplinary, accurate and high-throughput reference deduplication is vital in evidence synthesis studies (e.g., systematic reviews, meta-analyses) to ensure the completeness of datasets while reducing the manual screening burden. Existing tools fail to fulfill these emerging needs, as they are often labor-intensive, insufficient in accuracy, and limited to clinical fields. Here, we present RefDeduR, a text-normalization and decision-tree aided R package that enables accurate and high-throughput reference deduplication. We modularize the pipeline into text normalization, three-step exact matching, and two-step fuzzy matching processes. We also introduce a decision-tree algorithm, consider preprints when they co-exist with a peer-reviewed version, and provide actionable recommendations. Therefore, the tool is customizable, accurate, high-throughput, and practical. RefDeduR provides an effective solution to perform reference deduplication and represents a valuable advance in expanding the open-source toolkit to support evidence synthesis research.

scientific communication and education↗

bioRxiv2022

PRPF31 interacts with PRPH2 confirmed by co-immunoprecipitation and co-localization

PurposeTo investigate the potential interaction between PRPF31 and PRPH2. MethodsHEK293T and human retinal pigment epithelial cells 19 (APRE-19) were used for our experiments. eGFP and mCherry reporter expression vectors were constructed for PRPF31 and PRPH2, respectively. Immunoblotting and co-immunoprecipitation (Co-IP) were used for gene expression validation and protein interaction. Immunofluorescence staining assay was used to test the co-localization analysis of PRPF31 and PRPH2. ResultsPRPF31-eGFP and PRPH2-mcherry were highly expressed in HEK293T and APRE-19 cells on fluorescence microscopy and western blot. Co-IP experiments showed that PRPF31 could be pulled down with an anti-PRPH2 antibody. There was co-localization between PRPF31 and PRPH2 in HEK293T, APRE-19 and mouse retina. ConclusionCo-IP and co-localization experiments suggest that PRPF31 interacted with PRPH2.

genetics↗

bioRxiv2020

Microbial Species Abundance Distributions Guide Human Population Size Estimation from Sewage Metagenomes

The metagenome embedded in urban sewage is an attractive new data source to understand urban ecology and assess human health status at scales beyond a single host. Analyzing the viral fraction of wastewater in the ongoing COVID-19 pandemic has shown the potential of wastewater as aggregated samples for early detection, prevalence monitoring, and variant identification of human diseases in large populations. However, using census-based population size instead of real-time population estimates can mislead the interpretation of data acquired from sewage, hindering assessment of representativeness, inference of prevalence, or comparisons of taxa across sites. Here, we show that taxon abundance and sub-species diversisty in gut-associated microbiomes are new feature space to utilize for human population estimation. Using a population-scale human gut microbiome sample of over 1,100 people, we found that taxon-abundance distributions of gut-associated multi-person microbiomes exhibited generalizable relationships with respect to human population size. Here and throughout this paper, the human population size is essentially the sample size from the wastewater sample. We present a new algorithm, MicrobiomeCensus, for estimating human population size from sewage samples. MicrobiomeCensus harnesses the inter-individual variability in human gut microbiomes and performs maximum likelihood estimation based on simultaneous deviation of multiple taxas relative abundances from their population means. MicrobiomeCensus outperformed generic algorithms in data-driven simulation benchmarks and detected population size differences in field data. New theorems are provided to justify our approach. This research provides a mathematical framework for inferring population sizes in real time from sewage samples, paving the way for more accurate ecological and public health studies utilizing the sewage metagenome. Author summaryWastewater-based epidemiology (WBE) is an emerging field that employs sewage as aggregated samples of human populations. This approach is particularly promising for tracking diseases that can spread asymptomatically in large populations, such as the COVID-19. As a new type of biological data, sewage has its own unique challenges to utilize. While wastewater samples are usually assumed to represent large populations, it is not guaranteed, because of stochasticity in toilet flushes; unlike epidemiological experiments collecting data from individuals, sample size, i.e., the human population size represented by a wastewater sample, is a fundamental yet difficult-to-characterize parameter for sewage samples. Researchers would need to aggregate data from large areas and week-long collection to stabilize data, during which, important spikes in small areas or short time scales may be lost. It also remains challenging to turn viral titers into case prevalences, evaluating representativeness, or comparing measurements across sites/studies. This study provides a framework to estimate human population size from sewage utilizing human gut-associated microorganisms. Through analysis, we demonstrate that variance of taxon abundances and single-nucleotide polymorphism as two variables that change with population size. We provide a new tool MicrobiomeCensus that performs population size estimation from microbial taxon abundances. MicrobiomeCensus outperforms generic algorithms in terms of computational efficiency while at comparable or better accuracy. Using MicrobiomeCensus, we detected population size differences in sewage samples taken in Cambridge, MA, under two sampling approaches, i.e., "grab" or "composite" sampling. This study provides a framework to utilize individual-level microbiomes to learn from sewage, paving the way to prevalence estimation and improved spatio-temporal resolutions in WBE..

bioinformatics↗

bioRxiv2020

Immune gene expression covaries with gut microbiome composition in stickleback

Commensal microbial communities have immense effects on their vertebrate hosts, contributing to a number of physiological functions as well as host fitness. In particular, host immunity is strongly linked to microbiota composition through poorly understood bi-directional links. Gene expression may be a potential mediator of these links between microbial communities and host function. However few studies have investigated connections between microbiota composition and expression of host immune genes in complex systems. Here we leverage a large study of laboratory-raised fish from the species Gasterosteus aculeatus (three-spined stickleback) to document correlations between gene expression and microbiome composition. First, we examined correlations between microbiome alpha diversity and gene expression. Our results demonstrate robust positive associations between microbial alpha diversity and expression of host immunity. Next, we examined correlations between host gene expression and abundance of microbial taxa. We identified 15 microbial families that were highly correlated to host gene expression. These families were all tightly correlated to host expression of immune genes and processes, falling into one of three categories: those positively correlated, negatively correlated, and neutrally related to immune processes. Furthermore, we highlight several important immune processes that are commonly associated with abundance of these taxons, including both macrophage and B cell functions. Further functional characterization of microbial taxa will help disentangle the mechanisms of the correlations described here. In sum, our study supports prevailing hypotheses of intimate links between host immunity and gut microbiome composition.

immunology↗

bioRxiv2020

Single-cell regulatory landscape and disease vulnerability map of adult Macaque cortex

Single cell approaches have increased our knowledge about the cell type composition of the non-human primate (NHP), but a detailed characterization of area-specific regulatory features remains outstanding. We generated single-cell chromatin accessibility (single-cell ATAC) and transcriptomic data of 358,237 cells from prefrontal cortex (PFC), primary motor cortex (M1) and primary visual cortex (V1) of adult cynomolgus monkey brain, and integrated this dataset with Stereo-seq (Spatio-Temporal Enhanced REsolution Omics-sequencing) of the corresponding cortical areas to assign topographic information to molecular states. We identified area-specific chromatin accessible sites and their targeted genes, including the cell type-specific transcriptional regulatory network associated with excitatory neurons heterogeneity. We reveal calcium ion transport and axon guidance genes related to specialized functions of PFC and M1, identified the similarities and differences between adult macaque and human oligodendrocyte trajectories, and mapped the genetic variants and gene perturbations of human diseases to NHP cortical cells. This resource establishes a transcriptomic and chromatin accessibility combinatory regulatory landscape at a single-cell and spatially resolved resolution in NHP cortex.

neuroscience↗

bioRxiv2019

Host sex and genotype modify the gut microbiome response to helminth infection

The microbial community can be altered by direct/indirect interactions with parasites infecting host. Direct interactions can arise from physical/chemical contact with the parasite. Indirect interactions can involve parasite-induced changes in host immunity. If so, this would represent a case of genetic polymorphism in one species controlling an ecological interaction between other species. Here, we report a test of this expectation: we experimentally exposed Gasterosteus aculeatus to their naturally co-evolved parasite, Schistocephalus solidus. The host microbiome differed in response to parasite exposure, and between infected and uninfected fish. The microbial response to infection differed between host sexes, and also varied between variants at autosomal quantitative trait loci (QTL). These results indicate that host genotype regulates the indirect effect of infection on a vertebrate gut microbiome. Our results also raise the possibility that this sex-bias may be related to sex-specific microbial responses to the presence (or, absence) of helminthes. Therefore, helminth-based therapeutics as possible treatments for inflammatory bowel diseases might need to take account of these interactions, potentially requiring therapies tailored to host sex or genotype.

microbiology↗

bioRxiv2018

New genetic variants associated with major adverse cardiovascular events in patients with acute coronary syndromes and treated with clopidogrel and aspirin

ImportanceAlthough a few studies have reported the effects of several polymorphisms on major adverse cardiovascular events (MACE) in patients with acute coronary syndromes (ACS) and those undergoing percutaneous coronary intervention (PCI), these genotypes account for only a small fraction of the variation and evidence is insufficient. This study aims to identify new genetic variants associated with MACE by large-scale sequencing data.\n\nObjectiveTo identify the genetic variants that caused MACE.\n\nDesignAll patients in this study were allocated to dual antiplatelet therapy for up to 12 months and have the follow-up duration of 18 months.\n\nSettingA two-stage association study was performed.\n\nParticipantsWe evaluated the associations of genetic variants and MACE in 1961 patients with ACS undergoing PCI (2009-2012), including high-depth whole exome sequencing of 168 patients in the discovery cohort and high-depth targeted sequencing of 1793 patients in the replication cohort.\n\nMain Outcomes and MeasureThe primary clinical efficacy endpoint was the major adverse cardiovascular events (MACE) composite endpoint, including cardiovascular death, myocardial infarction (MI), stroke (CT or MR scan confirmed) and repeated revascularization (RR).\n\nResultsWe discovered and confirmed six new genotypes associated with MACE in patients with ACS. Of which, rs17064642 at MYOM2 increased the risk of MACE (hazard ratio [HR] 2.76; P = 2.95 x 10-9) and reached genome-wide significance. The other five suggestive variants were KRTAP10-4 (rs201441480), WDR24 (rs11640115), ECHS1 (rs140410716), AGAP3 (rs75750968) and NECAB1 (rs74569896). Notably, the expressions of MYOM2 and ECHS1 are down-regulated in both animal models and patients with phenotypes related to MACE. Importantly, we developed the first superior classifier for predicting MACE and achieved high predictive accuracy (0.809).\n\nConclusions and RelevanceWe identified six new genotypes associated with MACE and developed a superior classifier for predicting MACE. Our findings shed light on the pathogenesis of cardiovascular outcomes and may help clinician to make decision on the therapeutic intervention for ACS patients.\n\nTrial RegistrationThis study has been registered in the Chinese Clinical Trial Registry (http://www.chictr.org.cn, Registration number: ChiCTR-OCH-11001198).

genetics↗