Biology subjects

Ding, Y.

Publications and source records attributed to Ding, Y..

At least 109 records · Page 6Linked to original sources

bioRxiv2024

Volumetric imaging and computation to explore contractile function in zebrafish hearts

Despite advancements in cardiovascular engineering, heart diseases remain a leading cause of mortality. The limited understanding of the underlying mechanisms of cardiac dysfunction at the cellular level restricts the development of effective screening and therapeutic methods. To address this, we have developed a framework that incorporates light field detection and individual cell tracking to capture real-time volumetric data in zebrafish hearts, which share structural and electrical similarities with the human heart and generate 120 to 180 beats per minute. Our results indicate that the in-house system achieves an acquisition speed of 200 volumes per second, with resolutions of up to 5.02 {+/-} 0.54 {micro}m laterally and 9.02 {+/-} 1.11 {micro}m axially across the entire depth, using the estimated-maximized-smoothed deconvolution method. The subsequent deep learning-based cell trackers enable further investigation of contractile dynamics, including cellular displacement and velocity, followed by volumetric tracking of specific cells of interest from end-systole to end-diastole in an interactive environment. Collectively, our strategy facilitates real-time volumetric imaging and assessment of contractile dynamics across the entire ventricle at the cellular resolution over multiple cycles, providing significant potential for exploring intercellular interactions in both health and disease.

bioengineering↗

bioRxiv2024

Automated cell tracking using 3D nnUnet and Light Sheet Microscopy to quantify regional deformation in zebrafish

Light Sheet Microscopy (LSM) in conjunction with embryonic zebrafish, is rapidly advancing three-dimensional, in vivo characterization of myocardial contractility. Preclinical cardiac deformation imaging is predominantly restricted to a low-order dimensionality image space (2i) or suffers from poor reproducibility. In this regard, LSM has enabled high throughput, non-invasive 4i (3d+time) characterization of dynamic organogenesis within the transparent zebrafish model. More importantly, LSM offers cellular resolution across large imaging Field-of-Views at millisecond camera frame rates, enabling single cell localization for global cardiac deformation analysis. However, manual labeling of cells within multilayered tissue is a time-consuming task and requires substantial expertise. In this study, we applied the 3i nnU-Net with Linear Assignment Problem (LAP) framework for automated segmentation and tracking of myocardial cells. Using binarized labels from the neural network, we quantified myocardial deformation of the zebrafish ventricle across 4-6 days post fertilization (dpf). Our study offers tremendous promise for developing highly scalable and disease-specific biomechanical quantification of myocardial microstructures.

bioengineering↗

bioRxiv2024

Positive impact of Type-A and -C response regulator genes on growth and panicle architecture in rice

Cytokinin signal transduction occurs through a "two-component system." Type-A and -C response regulators (RRs) are groups of proteins of similar structures constituting significant components of cytokinin signal transduction. In rice, 13 (Type-A) and two (Type-C) RRs have been identified to date; however, their functions remain partially known. In this study, we examined the expression patterns of Type-A and Type-C RRs in rice using RNA-Seq and confirmed their functions by constructing mutants of the 15 genes with CRISPR/Cas9. Almost all Type-A RRs played positive roles in the development of secondary branches and secondary spikelets, particularly RR2 and RR4. Notably, rr1 rr2 and rr8 rr12 rr13 higher-order mutants displayed small panicle sizes and decreased plant height. Additionally, both Type-C RRs played positive roles in regulating heading date. RNA-seq revealed several genes with significantly altered expression in the rr2 and rr4 mutants, with almost half of the differentially expressed genes (DEGs) overlapping between the two mutants. Many of the DEGs were associated with the cytokinin and abscisic acid pathways. Our findings provide new insights into the functions of Type-A and -C RRs in rice growth and may serve as a foundation for future studies focusing on cytokinin signaling.

plant biology↗

bioRxiv2024

Single-cell atlas of developing mouse palates reveals cellular and molecular transitions in periderm cell fate

Cleft palate is one of the most common congenital craniofacial disorders that affects childrens appearance and oral functions. Investigating the transcriptomics during palatogenesis is crucial for comprehending the etiology of this disorder and facilitating prenatal molecular diagnosis. However, there is limited knowledge about the single-cell differentiation dynamics during mid- and late-palatogenesis, specifically regarding the subpopulations and developmental trajectories of periderm, a rare but critical cell population. Here we explore the single-cell landscape of mouse developing palates from E10.5 to E16.5. We systematically depict the single-cell transcriptomics of mesenchymal and epithelial cells during palatogenesis, including subpopulations and differentiation dynamics. Additionally, we identify four subclusters of palatal periderm and construct two distinct trajectories of cell fates for periderm cells. Our findings reveal that Claudins and Arhgap29 play a role in the non-stick function of the periderm before the palatal shelves contact, and Pitx2 mediates the adhesion of periderm during the contact of opposing palatal shelves. Furthermore, we demonstrate that epithelial-mesenchymal transition (EMT), apoptosis, and migration collectively contribute to the degeneration of periderm cells in the medial epithelial seam. Taken together, our study suggests a novel model of periderm development during palatogenesis and delineates the cellular and molecular transitions in periderm cell determination.

genomics↗

bioRxiv2024

Bioinformatics of combined nuclear and mitochondrial phylogenomics to define key nodes for the classification of Coleoptera

Nuclear genome sequencing is resource-intensive and not practical for building densely sampled phylogenetic trees of the most species rich lineages of animals, while mitochondrial genomes can be sequenced and analysed with relative ease. Here, we develop a conceptual approach and bioinformatics workflow for combining nuclear single-copy orthologs with less informative but densely sampled mitochondrial genomes, for a detailed tree of Coleoptera (beetles). Basal relationships of Coleoptera were first inferred from >2,000 BUSCO loci mined from GenBanks Short Read Archive for 119 exemplars of all major lineages under various substitution models and levels of matrix completion, to reveal universally supported nodes. Second, the corresponding mitogenomes were extracted and combined with an additional 373 species selected for broad taxonomic and biogeographic coverage, roughly in proportion to the known global species diversity of Coleoptera. Bioinformatic processing of mitogenomes was conducted with a novel pipeline for rapid, accurate annotation of protein-coding genes. Finally, phylogenetic trees from all 492 mitogenomes were generated under a backbone constraint from the universal basal nodes, which produced a well-supported tree of the major lineages at family and superfamily level. Being genetically unlinked and showing unique character variation, mitogenomes provide a unique perspective of the phylogeny. Comparison with three recent nuclear phylogenomic studies resulted in the recognition of >80 nodes universally present across all analyses. These may now support the higher classification of Coleoptera and serve as backbone of further studies, as numerous full mitogenomes and mitochondrial DNA barcodes are added to an increasingly complete phylogenetic tree of this super-diverse insect order.

evolutionary biology↗

bioRxiv2024

Task-irrelevant features in working memory alter current visual processing

AbstractHigher-level cognition depends on visual working memory (VWM), the ability of our brain to maintain and manipulate internal representations of images that are no longer presented to us. An important question in this field is whether VWM is represented in a sensory or nonsensory manner. Progress has been made in understanding the features to be remembered, but the representational nature of the memory-irrelevant features is unclear. Here, we used a dual-task paradigm to investigate how and when the memory-irrelevant features interact with the concurrent visual information. In a series of experiments, participants were asked to perform a visual search task (Experiment 1) or a perceptual discrimination task (Experiments 2 and 3) involving a memory- irrelevant feature while simultaneously holding the other feature for later retrieval. Experiment 1 showed that VWM biases the allocation of attention to color matching to the memory-irrelevant color. More importantly, the degree of VWM-biased attention decreased monotonically with decreasing feature similarity, and this behavioral monotonic gradient profile resembled the tuning curve of feature-selective neurons in the early visual cortex. Experiment 2 revealed that irrelevant features biased ongoing perception, as indicated by the shifted discrimination threshold. Experiment 3 further demonstrated that VWM-biased perception occurs only at short delays but not at prolonged delays. Our results suggest that the memory-irrelevant feature is represented as a sensory analog for a limited period of time in the visual areas where it was initially processed. Our results extend sensory recruitment theory to memory-irrelevant features in VWM.

neuroscience↗

bioRxiv2024

An mTOR-Tfeb-Fabp7a signaling axis can be harnessed to ameliorate bag3 cardiomyopathy in adult zebrafish

Dysregulated proteostasis in cardiomyocytes is an important pathological event in BAG3 cardiomyopathy, which can be repaired by inhibiting mechanistic target of rapamycin (mTOR) for cardioprotective effects. Here, we aimed to uncover additional pathological events and therapeutic target genes via leveraging zebrafish genetics. We first assessed transcription factor EB (tfeb), a candidate gene that encodes a direct downstream phosphorylation target of mTOR signaling. We found that cardiomyocyte-specific transgenic overexpression of tfeb (Tg[cmlc2:tfeb]) is sufficient to repair defective proteostasis, attenuate accelerated cardiac senescence, a previously unrecognized phenotype in the bag3 cardiomyopathy model, and rescue cardiac dysfunction. Next, we compared cardiac transcriptomes between the Tg(cmlc2:tfeb) transgenic fish and the mtorxu015/+ mutant, and tested 4 commonly downregulated lipodystrophy genes using an F0-based genetic assay. We found that inhibition of the fatty acid binding protein a (fabp7a) gene, but not the other 3 genes, exerts therapeutic effects on bag3 cardiomyopathy. Conversely, fabp7a expression is elevated in bag3 cardiomyopathy model and cardiomyocyte-specific overexpression of fabp7a resulted in dysregulated proteostasis, accelerated cardiac senescence, as well as cardiac dysfunction. Together, these genetic studies in zebrafish uncovered Fabp7a activation and accelerated cardiac senescence as important pathological events in bag3 cardiomyopathy. The mTOR-Tfeb-Fabp7a signaling axis can be harnessed to repair these pathological changes and exert cardioprotective effects.

genetics↗

bioRxiv2024

Multifunctional Systems in Synthetic Biology: Single-Stranded DNA Signaling for Precise Control of Gene Activation

Controllable gene circuits that respond to defined inputs are essential tools in synthetic biology. By leveraging regulatory mechanisms at either transcriptional or translational levels, synthetic responsive systems have been engineered to recognize diverse signals, such as small molecules (e.g., tetracycline) or physical stimuli (e.g., light). However, these approaches have limitations: small-molecule signals often require high concentrations to be effective, and sophisticated engineering is needed to generate responsive effectors. Here, we establish a simple, versatile gene activation system in which short single-stranded DNAs trigger RNA or protein production by complementing defective single-stranded promoters upstream of target genes. We demonstrate selective gene activation with orthogonal promoters, and logic-gate operations with signal pairs. The signaling system operates in compartmentalized nanoliter droplets scaffolded by bilayers. Signal delivery is controlled by selectively disrupting bilayers or applying transmembrane potential to move signals through protein pores, thereby activating genes within the receiver compartments. This work expands the toolset for engineering multifunctional, responsive materials to meet biotechnological and medical needs, enabling gene activation in response to specific cues.

synthetic biology↗

bioRxiv2024

Multi-laboratory Study Establishes Reproducible Methods for Plant-Microbiome Research in Fabricated Ecosystems

Inter-laboratory replicability is crucial yet challenging in microbiome research. Leveraging microbiomes to promote soil health and plant growth requires understanding underlying molecular mechanisms using reproducible experimental systems. In a global collaborative effort involving five laboratories, we aimed to help advance reproducibility in microbiome studies by testing our ability to replicate synthetic community assembly experiments. Our study compared fabricated ecosystems constructed using two different synthetic bacterial communities, the model grass Brachypodium distachyon, and sterile EcoFAB 2.0 devices. All participating laboratories observed consistent inoculum-dependent changes in plant phenotype, root exudate composition, and final bacterial community structure where Paraburkholderia sp. OAS925 could dramatically shift microbiome composition. Comparative genomics and exudate utilization linked the pH-dependent colonization ability of Paraburkholderia, which was further confirmed with motility assays. The study provides detailed protocols, benchmarking datasets, and best practices to help advance replicable science and inform future multi-laboratory reproducibility studies.

microbiology↗

bioRxiv2024

3D Printing of Multiscale Scaffolds with Microtopography for Guiding Tissue Organization and Regeneration

Engineering biomaterial scaffolds with multiscale structures, integrating anatomically accurate macroscale architecture (millimeters to centimeters) with microtopographic features (sub-microns to tens of microns), is critical for guiding cellular organization and tissue regeneration. However, fabricating such multiscale scaffolds remains challenging due to the limitations of conventional manufacturing techniques and the trade-off between speed and resolution in current 3D printing methods. Here, we present a multiscale micro-continuous liquid interface production (M{micro}CLIP) technique that enables rapid, one-step 3D printing of centimeter-scale scaffolds with spatially tunable microtopography of various sizes and geometries in just a few minutes (up to 1 mm/min). To showcase the versatility of our technique, we printed a one-centimeter-long tubular scaffold with dual microtopographic patterns, i.e. 20 {micro}m axially aligned grooves on the internal surface and 15 {micro}m circumferentially aligned rings on the external surface. These scaffolds induced the simultaneous orientation of vascular endothelial cells along the axial grooves and vascular smooth muscle cells along the circumferential rings, mimicking the orthogonally aligned bilayer architecture of natural arteries. Moreover, the groove patterns significantly accelerated endothelial cell migration, potentially enhancing endothelialization in vascular implants. This approach provides a versatile tool for designing advanced scaffolds and medical devices that harness microtopography to guide tissue organization and enhance regeneration.

bioengineering↗

bioRxiv2024

MagnoliidsGDB：An integrated functional genomics database for Magnoliids

In this study, we present MagnoliidsGDB, an integrated functional genomics database specifically developed for magnoliids, a group of plants known for their unique characteristics and medicinal properties. As of March 2024, MagnoliidsGDB has collected 31 genome sequences from 24 species, 149 resequencing datastes from 4 species, 842 transcriptomic datasets from 20 species, and metabolomic data from 15 species. This comprehensive resource allows researchers to explore the genomic, transcriptomic, and metabolomic variations of magnoliids. The user-friendly search and analysis functionalities of MagnoliidsGDB facilitate the study of genomic variations, gene functions, plant evolution and key metabolites of magnoliids. We hope this database will contribute to the study of magnoliids and increase our understanding of the origin, variation, and molecular basis of the unique biological features of magnoliids.

evolutionary biology↗

bioRxiv2024

High accuracy methylation identification tools on single molecular level for PacBio HiFi data

PacBios Circular Consensus Sequencing (CCS) allows us to obtain highly accurate bases and simultaneously determine the methylation states of individual molecules. However, existing CCS-based methods for 5mC detection have low accuracy (<90% on most datasets) at the single-molecule level and can produce inaccurate methylation patterns. These methods rely on the information from 21 bp contexts surrounding the target CpGs and have over 29% low-confidence (<75% accuracy) calls at CpGs with less distinguishable signals. We hypothesize that incorporating CpG methylation correlation information at the single-molecule level could improve the methylation calls on low-confidence CpGs. Here, we present a novel deep graph convolutional network (hifimeth) that uses 400 bp context in CCS-based 5mC calling and show that its improved performance is mainly due to the inclusion of more neighboring CpGs in contexts. Hifimeth achieves an average single-molecule accuracy of 94.7% and an average F1 score of 94.2%, 5.5% and 5.9% higher than the previous state-of-the-art method, respectively. Hifimeth-based methylation frequency quantification by read counting outperforms previous methods on all human and zebrafish datasets tested. The results also show that hifimeths high-accuracy calls can reveal complex single-molecule methylation patterns, either related to haplotypes or repeat regions, with up to single-motif resolution.

bioinformatics↗

bioRxiv2024

Automated microinjection for zebrafish xenograft models

Zebrafish xenograft models have been increasingly recognized for their ability to predict patient responses to cancer therapeutics, suggesting their potential as diagnostic tools in clinical settings. However, these models require the precise microinjection of cancer cell suspensions in many small and fragile zebrafish larvae. Manual injections are so challenging that, even after months of training, variability in experimental results persists among researchers. This limits the uptake and deployment of zebrafish xenograft models for clinical use and drug discovery. To address this challenge, we have designed, built, and validated an automated microinjection robot. Combined results of injections into the vasculature, perivitelline space, and hindbrain ventricle demonstrated an average injection success rate of approximately 60%, with a larvae survival rate exceeding 70%, comparable to manual injections using a traditional micromanipulator. Notably, the full automated mode was twice as fast as manual injections. This automation of the microinjection process significantly reduces the need for extensive personnel training while it enhances reproducibility, efficiency, and accuracy, paving the way for more extensive use of zebrafish xenograft models in drug discovery and patient diagnostics.

cancer biology↗

bioRxiv2024

Insights into the role of dopamine in rhizosphere microbiome assembly

Dopamine plays a critical role in animal physiology and interactions with gut microbes. In plants, dopamine is known to function in plant defense and abiotic stress tolerance; however, its role in mediating plant-microbiome interactions remains unexplored. In this study, we observed that dopamine is one of the most abundant exometabolites with natural variation in root exudates across diverse Brachypodium distachyon lines, suggesting a potential role in rhizosphere microbial assembly. To further investigate this, we colonized ten natural B. distachyon lines with a 16-member bacterial synthetic community (SynCom), collected paired metabolomic and 16S rRNA sequencing data, and performed an association analysis. Our results revealed that dopamine levels in root exudates were significantly associated with the abundance of six SynCom members in a hydroponic system. In vitro growth studies demonstrated that dopamine had a significant effect on the growth of the same six bacterial isolates. Additionally, treating soil directly with dopamine enriched Actinobacteria, consistent with both the SynCom-dopamine correlations and the isolate growth results. Collectively, our study underscores the selective influence of dopamine on rhizosphere microbial communities, with implications for precision microbiome management.

plant biology↗

bioRxiv2024

All of Us diversity and scale improve polygenic prediction contextually with greatest improvements for underrepresented populations

Recent studies have demonstrated that polygenic risk scores (PRS) trained on multi-ancestry data can improve prediction accuracy in groups historically underrepresented in genomic studies, but the availability of linked health and genetic data from large-scale diverse cohorts representative of a wide spectrum of human diversity remains limited. To address this need, the All of Us research program (AoU) generated whole-genome sequences of 245,388 individuals (release v7) who collectively reflect the diversity of the USA. Leveraging this resource and another widely-used population-scale biobank, the UK Biobank (UKB) with a half million participants, we developed PRS trained on multi-ancestry and multi-biobank data with up to [~]750,000 participants for 32 common, complex traits and diseases across a range of genetic architectures. We then evaluated effects of ancestry, PRS methodology, and genetic architecture on PRS accuracy across a held out subset of ancestrally diverse AoU participants. Overall, we found that the increased diversity of AoU significantly improved PRS performance in some participants in AoU, especially underrepresented individuals, across multiple phenotypes. Notably, maximizing sample size by combining discovery data across AoU and UKB is not the optimal approach for predicting some phenotypes particularly in African ancestry populations; rather, using data from only AoU for these traits resulted in the greatest accuracy. This was especially true for less polygenic traits with large ancestry-enriched effects, and larger heritability estimates in African ancestry populations, such as neutrophil count (R2: 0.055 vs. 0.035 using AoU vs. cross-biobank meta-analysis, respectively, because of e.g. DARC). Lastly, we calculated individual-level PRS accuracies rather than grouping by continental ancestry, a critical step towards interpretability in precision medicine. Individualized PRS accuracy decays linearly as a function of ancestry divergence, but the slope was smaller using multi-ancestry GWAS compared to using European GWAS. Our results highlight the potential of biobanks with more balanced representations of human diversity to facilitate more accurate PRS for the individuals least represented in genomic studies.

genomics↗

bioRxiv2024

Critical roles of Ikaros and HDAC1 in regulation of heterochromatin and tumor suppression in T-cell acute lymphoblastic leukemia

The IKZF1 gene encodes IKAROS - a DNA binding protein that acts as a tumor suppressor in T-cell acute lymphoblastic leukemia (T-ALL). IKAROS can act as a transcriptional repressor via recruitment of histone deacetylase 1 (HDAC1) and chromatin remodeling, however the mechanisms through which Ikaros exerts its tumor suppressor function via heterochromatin in T-ALL are largely unknown. We studied human and mouse T-ALL using a loss-of-function and IKZF1 re-expression approach, along with primary human T-ALL, and normal human and mouse thymocytes to establish the role of Ikaros and HDAC1 in global regulation of facultative heterochromatin and transcriptional repression in T-ALL. Results identified novel Ikaros and HDAC1 functions in T-ALL: Both Ikaros and HDAC1 are essential for EZH2 histone methyltransferase activity and formation of facultative heterochromatin; recruitment of HDAC1 by Ikaros is critical for establishment of H3K27me3 histone modification and repression of active enhancers; and Ikaros-HDAC1 complexes promote formation and expansion of H3K27me3 Large Organized Chromatin lysine (K) domains (LOCKs) and Broad Genic Repression Domains (BGRDs) in T-ALL. Our results establish the central role of Ikaros and HDAC1 in activation of EZH2, global regulation of the facultative heterochromatin landscape, and silencing of active enhancers that regulate oncogene expression.

bioinformatics↗

bioRxiv2024

Calorie Restriction Induces Degeneration of Neurons with Mitochondrial DNA Depletion by Altering ER-Mitochondria Calcium Transfer

Mitochondrial DNA (mtDNA) mutations and/or depletion are implicated in epilepsy and many neurodegenerative diseases. However, systematic investigation into how mtDNA alterations relate to epilepsy and neural degeneration is needed. Here, we established a mouse model where in mtDNA depletion induced by Herpes Simplex Virus Type 1 (HSV-1) protein-UL12.5 in the brain led to an epileptic phenotype characterized by abnormal electroencephalography (EEG) patterns and increased neural excitability in hippocampus. We also found that UL12.5 mediated mtDNA depletion in neurons in vitro (rho-) causes epilepsy-like abnormal EEG. Caloric restriction (CR) is a strategy proven to reduce epileptic activity, however CR mimetic 2-deoxy-D-glucose (2-DG), induced degeneration in mtDNA depleted neurons. Mechanistically, mtDNA depletion increased mitochondria-endoplasmic reticulum (ER) contacts, facilitating CR-induced mitochondrial calcium overload. Rho- neurons did not show changes in mitochondrial motility or membrane potential. Our study revealed an unexpected axis of mtDNA depletion, ER-mitochondrial contacts, and calcium overload in the rho- neuron model. This is the first description of animal and neuronal models of mitochondrial epilepsy. Our findings with these models suggest that CR may not be a viable clinical intervention in patients with mtDNA depletion.

cell biology↗

bioRxiv2024

Convergent genetic adaptation in human tumors developed under systemic hypoxia and in populations living at high altitudes

EPAS1HIF2 is the primary gene implicated in systemic hypoxia adaptation. Conversely, aberrantly activated EPAS1HIF2 acts as a tumor driver against which anti-tumor therapeutics are proven effective. We elucidated connections between adaptation to systemic hypoxia in high-altitude populations, such as Tibetans and Sherpas, and human tumors. Similar to the accelerated adaptability observed in high-altitude populations via genetic introgression, tumors from patients with hypoxia since birth exhibited impaired DNA repair and increased mutation burden. As in high-altitude dwellers, EPAS1HIF2 genetic variants were positively selected within sympathetic tumors developed under hypoxia, with a consistently high frequency of 90%. Bulk and single-cell RNA sequencing followed by in vitro studies have shown that hypoxia and EPAS1HIF2 gain-of-function tumor mutations induce COX4i2 expression and impair mitochondrial respiration, indicating that decreased cellular oxygen consumption may confer a proliferative advantage in hypoxia. Analyzing medical data from a patient cohort with hypoxia since birth who developed/did not develop tumors revealed tissue-specific and time-dependent tumorigenic effects of systemic hypoxia, which is limited to oxygen-sensitive and responsive cells, particularly during the postnatal period. This study supports connections between the EPAS1HIF2 genetic adaptation in human tumors developed under systemic hypoxia to populations living in high altitudes. The genetic adaptations in populations to different stressors can be explored further to understand tumorigenesis and tumor evolution.

cancer biology↗