Biology subjects

Ruan, Y.

Publications and source records attributed to Ruan, Y..

At least 55 records · Page 3Linked to original sources

bioRxiv2020

MiRNA expression profiling and zeatin dynamic changes in a new model system of in vivo indirect regeneration of tomato

Callus formation and adventitious shoot differentiation could be observed on the cut surface of completely decapitated tomato plants. We propose that this process can be used as a model system to investigate the mechanisms that regulate indirect regeneration of higher plants without the addition of exogenous hormones. This study analyzed the patterns of trans-zeatin and miRNA expression during in vivo regeneration of tomato. Analysis of trans-zeatin revealed that the hormone cytokinin played an important role in in vivo regeneration of tomato. Among 183 miRNAs and 1168 predicted target genes sequences identified, 93 miRNAs and 505 potential targets were selected based on differential expression levels for further characterization. Expression patterns of six miRNAs, including sly-miR166, sly-miR167, sly-miR396, sly-miR397, novel 156, and novel 128, were further validated by qRT-PCR. We speculate that sly-miR156, sly-miR160, sly-miR166, and sly-miR397 play major roles in callus formation of tomato during in vivo regeneration by regulating cytokinin, IAA, and laccase levels. Overall, our microRNA sequence and target analyses of callus formation during in vivo regeneration of tomato provide novel insights into the regulation of regeneration in higher plants.

molecular biology↗

bioRxiv2020

Intracellular Delivery of Nanoparticles via Microelectrophoresis Technique: Feasibility demonstration

Nanoparticles with desirable properties and functions have been actively developed for various bio-medical research, such as in vivo and in vitro sensors, imaging agents and delivery vehicles of therapeutics. However, an effective method to deliver nanoparticles into the intracellular environment is a major challenge and critical to many biological studies. Current techniques, such as intracellular uptake, electroporation and microinjection, each have their own set of benefits and associated limitations (e.g., aggregation and endosomal degradation of nanoparticles, high cell mortality and low throughput). Here, the well-established microelectrophoresis technique is applied for the first time to deliver nanoparticles into target cells, which overcomes some of these delivery difficulties. Semiconductive quantum dots, with average hydrodynamic diameter of 24.4 nm, have been successfully ejected via small electrical currents (-0.2 nA) through fine-tipped glass micropipettes as an example, into living human embryonic kidney cells (roughly 20 - 30m in length). As proposed by previous studies, micropipettes were fabricated to have an average tip inner diameter of 206 nm for ejection but less than 500 nm to minimize the cell membrane damage and cell distortion. In addition, delivered quantum dots were found to stay monodispersed within the cells for approximately one hour. We believe that microelectrophoresis technique may serve as a simple and general strategy for delivering a variety of nanoparticles intracellularly in various biological systems.

biochemistry↗

bioRxiv2020

Chromatin Topology Reorganization and Transcription Repression by PML/RARα in Acute Promyeloid Leukemia

BackgroundAcute promyeloid leukemia (APL) is characterized by the oncogenic fusion protein PML/RAR, a major etiological agent in APL. However, the molecular mechanisms underlying the role of PML/RAR in leukemogenesis remains largely unknown. ResultsUsing an inducible system, we comprehensively analyzed the 3D genome organization in myeloid cells and its reorganization after PML/RAR induction, and performed additional analyses in patient-derived APL cells with native PML/RAR. We discovered that PML/RAR mediates extensive chromatin interactions genome-wide. Globally, it redefines the chromatin topology of the myeloid genome toward a more condensed configuration in APL cells; locally, it intrudes RNAPII-associated interaction domains, interrupts myeloid-specific transcription factors binding at enhancers and super-enhancers, and leads to transcriptional repression of genes critical for myeloid differentiation and maturation. ConclusionsOur results not only provide novel topological insights for the roles of PML/RAR in transforming myeloid cells into leukemia cells, but further uncover a topological framework of a molecular mechanism for oncogenic fusion proteins in cancers.

genomics↗

bioRxiv2020

Ultrastructural Visualization of 3D Chromatin Folding Using Serial Block-Face Scanning Electron Microscopy and In Situ Hybridization (3D-EMISH)

The human genome is extensively folded into 3-dimensional organization, yet the detailed 3D chromatin folding structures have not been fully visualized due to the lack of robust and ultra- resolution imaging capability. Here, we report the development of a novel electron microscopy method that combines serial block-face scanning electron microscopy with in situ hybridization (3D-EMISH) to visualize 3D chromatin folding at targeted genomic regions with ultra-resolution (5x5x30 nm in xyz dimensions, respectively). We applied 3D-EMISH to human lymphoblastoid cells at a 1.7 Mb segment of the genome and visualized a large number of distinctive 3D chromatin folding structures in high ultra-resolution. We further quantitatively characterized the reconstituted chromatin folding structures by identifying sub-domains, and uncovered a high level of heterogeneity in chromatin folding ultrastructures, suggestive of extensive dynamic fluidity in 3D chromatin states.

genomics↗

bioRxiv2020

Targeting nuclear pore protein, NUP210, reduces metastasis through heterochromatin-mediated silencing of mechanosensitive genes

Mechanical signals from the extracellular microenvironment have been implicated in tumor and metastatic progression. Here, we identified nucleoporin NUP210 as a metastasis susceptibility gene for human estrogen receptor positive (ER+) breast cancer and a cellular mechanosensor. Nup210 depletion suppresses lung metastasis in mouse models of breast cancer. Mechanistically, NUP210 interacts with LINC complex protein SUN2 which connects the nucleus to the cytoskeleton. In addition, the NUP210/SUN2 complex interacts with chromatin via the short isoform of BRD4 and histone H3.1/H3.2 at the nuclear periphery. In Nup210 knockout cells, mechanosensitive genes accumulate H3K27me3 heterochromatin modification, mediated by the polycomb repressive complex 2 and differentially reposition within the nucleus. Transcriptional repression in Nup210 knockout cells results in defective mechanotransduction and focal adhesion necessary for their metastatic capacity. Our study provides a new insight into the role of nuclear pore protein in cellular mechanosensation and metastasis.

cancer biology↗

bioRxiv2019

Single cell atlas of domestic pig brain illuminates the conservation and divergence of cell types at spatial and species levels

Domestic pig (Sus scrofa domesticus) has drawn much attention from researchers worldwide due to its implications in evolutionary biology, regenerative medicine and agriculture. The brain atlas of Homo sapiens (primate), Mus musculus (rodent), Danio rerio (fish) and Drosophila melanogaster (insect) have been constructed at single cell resolution, however, the cellular compositions of pig brain remain largely unexplored. In this study, we investigated the single-cell transcriptomic profiles of five distinct regions of domestic pig brain, from which we identified 21 clusters corresponding to six major cell types, characterized by unique spectrum of gene expression. By spatial comparison, we identified cell types enriched or depleted in certain brain regions. Inter-species comparison revealed cell-type similarities and divergences in hypothalamus between mouse and pig, providing invaluable resources for the evolutionary exploration of brain functions at single cell level. Besides, our study revealed cell types and molecular pathways closely associated with several diseases (obesity, anorexia, bulimia, epilepsy, intellectual disability, and autism spectrum disorder), bridging the gap between gene mutations and pathological phenotypes, which might be of great use to the development precise therapies against neural system disorders. Taken together, we reported, so far as we know, the first single cell brain atlas of Sus scrofa domesticus, followed by comprehensive comparisons across brain region and species, which could throw light upon future evo-devo, regenerative medicine, and agricultural studies.

bioinformatics↗

bioRxiv2019

Junction-skipping regulation in complex disease

Multiple mRNA isoforms can be generated from a single gene locus through alternative splicing. Abnormality in alternative splicing has been linked to many human disorders. Here using RNA-seq data from 48 tissues from GTEx v7 release and summary statistics from GWAS of complex diseases and traits, we present a study to identify genomic variants regulating junction-skipping with the goal to understand their contribution to complex diseases and traits. For each tissue, we found 48 - 575 junction-skipping events regulated by genomic variants. We performed fine-mapping on both the junction-skipping association and 23 complex disease and trait associations and mapped them to 95% credible sets. We found 13 - 279 junction-skipping regulations were mapped to a credible set with [≤]5 variants. On the genome-wide scale, we noted a clear disease-tissue specificity. Results from this approach provided critical insights into the functional mechanism of the genetic disease associations and contributed to our understanding of the genetic architecture of human complex disorders.

genetics↗

bioRxiv2019

pyBedGraph: a Python package for fast operations on 1-dimensional genomic signal tracks

MotivationModern genomic research relies heavily on next-generation sequencing experiments such as ChIP-seq and ChIA-PET that generate coverage files for transcription factor binding, as well as DHS and ATAC-seq that yield coverage files for chromatin accessibility. Such files are in a bedGraph text format or a bigWig binary format. Obtaining summary statistics in a given region is a fundamental task in analyzing protein binding intensity or chromatin accessibility. However, the existing Python package for operating on coverage files is not optimized for speed.\n\nResultsWe developed pyBedGraph, a Python package to quickly obtain summary statistics for a given interval in a bedGraph file. When tested on 8 ChIP-seq and ATAC-seq datasets, pyBedGraph is on average 245 times faster than the existing program. Notably, pyBedGraph can look up the exact mean signal of 1 million regions in ~0.26 second on a conventional laptop. An approximate mean for 10,000 regions can be computed in ~0.0012 second with an error rate of less than 5 percent.\n\nAvailabilitypyBedGraph is publicly available at https://github.com/TheJacksonLaboratory/pyBedGraph under the MIT license.

bioinformatics↗

bioRxiv2019

Mutations beget more mutations - The baseline mutation rate and runaway accumulation

There is a sizable literature on mutation rate evolution (Drake 1991; Makova and Li 2002; Lynch 2011; Scally and Durbin 2012; Sung, et al. 2012) but few studies incorporate the recent genomic data from somatic tissues that suggest the operation of mutators. These data show that the mutation burden among cancer samples may vary by several orders of magnitude (Kandoth, et al. 2013; Lawrence, et al. 2013). We now propose a runaway model, applicable to both the germline and the soma, whereby the accumulation of mutator mutations forms a positive-feedback loop. In this loop, any mutator mutation would increase the probability of acquiring the next mutator, thus triggering a runaway escalation in mutation rate. The process can be initiated more readily if there are many weak, rather than a few strong, mutators. Interestingly, even a small increase in the mutation rate at birth could trigger the runaway process, resulting in unfit progeny in slowly reproducing species. In such species, the need to minimize the risk of this uncontrolled accumulation would entail a mutation rate that may seem unnecessarily low. In comparison, species that starts and ends reproduction much sooner do not face the risk and may set the baseline mutation rate higher. The mutation rate would evolve as the generation time changes, therefore explaining many puzzling evolutionary phenomena (Elango, et al. 2006; Thomas, et al. 2010; Langergraber, et al. 2012; Thomas, et al. 2018; Besenbacher, et al. 2019).

evolutionary biology↗

bioRxiv2019

Multiplex chromatin interaction analysis by signal processing and statistical algorithms

The single-molecule multiplex chromatin interaction data generated by emerging non-ligation-based 3D genome mapping technologies provide novel insights into high dimensional chromatin organization, yet introduce new computational challenges. We developed MIA-Sig (https://github.com/TheJacksonLaboratory/mia-sig.git), an algorithmic framework to de-noise the data, assess the statistical significance of chromatin complexes, and identify topological domains and inter-domain contacts. On chromatin immunoprecipitation (ChIP)-enriched data, MIA-Sig can clearly distinguish the protein-associated interactions from the non-specific topological domains.

genomics↗

bioRxiv2019

Super resolution imaging of a distinct chromatin loop in human lymphoblastoid cells

The three-dimensional genome structure plays a fundamental role in gene regulation and cellular functions. Recent studies in genomics based on sequencing technologies inferred the very basic functional chromatin folding structures of the genome known as chromatin loops, the long-range chromatin interactions that are often mediated by protein factors. To visualize the looping structure of chromatin we applied super-resolution microscopy iPALM to image a specific chromatin loop in GM12878 cells. Totally, we have generated six images of the target chromatin region at the single molecule resolution. To infer the chromatin structures from the captured images, we modeled them as looping conformations using different computational algorithms and then evaluated the models by comparing with Hi-C data to examine the concordance. The results showed a good correlation between the imaging data and sequencing data, suggesting the visualization of higher-order chromatin structures for the very short genomic segments can be realized by microscopic imaging.

molecular biology↗

bioRxiv2019

ChIA-DropBox: a novel analysis and visualization pipeline for multiplex chromatin interactions

ChIA-Drop is a new experimental method for mapping multiplex chromatin interactions with single-molecule precision by barcoding chromatin complexes inside microfluidics droplets, followed by pooled DNA sequencing. The chromatin DNA reads with the same droplet-specific barcodes are inferred to be derived from the same chromatin interaction complex. Here, we describe an integrated computational pipeline, named ChIA-DropBox, that is specifically designed for reconstructing chromatin reads in each droplet and refining multiplex chromatin complexes from raw ChIA-Drop sequencing reads, and then visualizing the results. First, ChIA-DropBox maps and filters sequencing reads, and then reconstructs the \"chromatin droplets\" by parsing the barcode sequences and grouping together chromatin reads with the same barcode. Based on the concept of chromosome territories that most chromatin interactions take place within the same chromosome, potential mixing up of chromatin complexes derived from different chromosomes could be readily identified and separated. Accordingly, ChIA-DropBox refines these \"chromatin droplets\" into purely intra-chromosomal chromatin complexes, ready for downstream analysis. For visualization, ChIA-DropBox converts the ChIA-Drop data to pairwise format and automatically generates input files for viewing 2D contact maps in Juicebox and viewing loops in BASIC Browser. Finally, ChIA-DropBox introduces a new browser, named ChIA-View, for interactive visualization of multiplex chromatin interactions.

bioinformatics↗

bioRxiv2019

Macrophage mediated recognition and clearance of Borrelia burgdorferi elicits MyD88-dependent and - independent phagosomal signals that contribute to phagocytosis and inflammation

Lyme disease is a tick-borne illness caused by the spirochete Borrelia burgdorferi (Bb). It is believed that the robust inflammatory response induced by the hosts innate immune system is responsible for the clinical manifestations associated with Bb infection. The macrophage plays a central role in the immune response to many bacterial infections and is thought to play a central role in activation of the innate immune response to Bb. Previous studies have shown that following phagocytosis of spirochetes by macrophages, phagosome maturation results in degradation of Bb and liberation of bacterial lipoproteins and nucleic acids, which are recognized by TLR2 and TLR8, respectively, and elicit MyD88-mediated phagosome signaling cascades. Bone marrow-derived macrophages (BMDMs) from MyD88-/- mice show significantly reduced spirochete uptake and inflammatory cytokine production when incubated with Bb ex vivo. Paradoxically, additional studies revealed that Bb-infected MyD88-/- mice exhibit inflammation in joint and heart tissues. To determine the contribution of MyD88 to macrophage-mediated spirochete clearance, we compared wildtype (WT) and MyD88-/- mice using a murine model of Lyme disease. MyD88-/- mice showed increased Bb burdens in hearts 28 days post infection, while H&E staining and immunohistochemistry showed significantly increased inflammation and greater macrophage infiltrate in the hearts of MyD88-/- mice. This suggests that Bb triggers MyD88-independent inflammatory pathways in macrophages to facilitate cell recruitment to tissues. Upon stimulation with Bb ex vivo, WT and MyD88-/- BMDMs exhibit significant differences in bacteria uptake, suggesting that MyD88 signaling mediates cytoskeleton remodeling and the formation of membrane protrusions to enhance bacteria phagocytosis. A comprehensive transcriptome comparison in Bb-infected WT and MyD88-/- BMDMs identified a large cohort of MyD88-dependent genes that are differentially expressed in response to Bb, including genes involved in actin and cytoskeleton organization (Daam1, Fmnl1). We also identified a cohort of differentially-expressed MyD88-independent chemokines (Cxcl2, Ccl9) known to recruit macrophages. We identified master regulators and generated networks which model potential signaling pathways that mediate both phagocytosis and the inflammatory response. These data provide strong evidence that MyD88-dependent and -independent phagosomal signaling cascades in macrophages play significant roles in the ability of these cells to phagocytose Bb and mediate infection.\n\nAUTHOR SUMMARYMacrophages play prominent roles in bacteria recognition and clearance, including Borrelia burgdorferi (Bb), the Lyme disease spirochete. To elucidate mechanisms by which MyD88/TLR signaling enhances clearance of Bb by macrophages, we studied Bb-infected wildtype (WT) and MyD88-/- mice and Bb-stimulated bone marrow-derived macrophages (BMDMs). Bb-infected MyD88-/- mice show increased bacterial burdens, macrophage infiltration and altered gene expression in inflamed heart tissue. MyD88-/- BMDMs exhibit impaired uptake of spirochetes but comparable maturation of phagosomes following internalization of spirochetes. RNA-sequencing of infected WT and MyD88-/- BMDMs identified a large cohort of differentially expressed MyD88-dependent genes involved in re-organization of actin and cytoskeleton during phagocytosis along with several MyD88-independent chemokines involved in inflammatory cell recruitment. We computationally generated networks which identified several MyD88-independent master regulators (Cxcl2 and Vcam1) and MyD88-dependent intermediate proteins (Rhoq and Cyfip1) that are known to mediate inflammation and phagocytosis respectively. These results provide mechanistic insights into MyD88-mediated phagosomal signaling enhancing Bb uptake and clearance.

immunology↗

bioRxiv2018

ChIA-PIPE: A fully automated pipeline for ChIA-PET data analysis and visualization

ChIA-PET enables the genome-wide discovery of chromatin interactions involving specific protein factors, with base-pair resolution. Interpreting ChIA-PET data depends on having a robust analytic pipeline. Here, we introduce ChIA-PIPE, a fully automated pipeline for ChIA-PET data processing, quality assessment, analysis, and visualization. ChIA-PIPE performs linker filtering, read mapping, peak calling, loop calling, chromatin-contact-domain calling, and can resolve allele-specific peaks and loops. ChIA-PIPE also automates quality-control assessment for each dataset. Furthermore, ChIA-PIPE generates input files for visualizing 2D contact maps with Juicebox and HiGlass, and provides a new dockerized visualization tool for high-resolution, browser-based exploration of peaks and loops. With minimal adjusting, ChIA-PIPE can also be suited for the analysis of other related chromatin-mapping data.

bioinformatics↗

bioRxiv2018

Crop Information Engine and Research Assistant (CIERA) for managing genealogy, phenotypic and genotypic data for breeding programs

BackgroundWith the advent of next-generation marker platforms and phenomics in crop breeding programs, the volume of both the genotypic and phenotypic data produced has increased exponentially. Often the data remain underutilized if not properly collated, managed and accessed. Effective management of the data is paramount to making sound and timely decision on cross planning in order to accelerate genetic gain ({Delta}G) in crops for disease resistance, agronomic and end-use quality traits.\n\nResultsTo address the challenges in managing and efficient utilization of the sheer volume of data generated in a crop breeding program, we developed an electronic information system called the Crop Information Engine and Research Assistant (CIERA). The CIERA, written in Visual Basic, runs on the Microsoft Windows operating system and requires the .Net Framework 4.7 as well as the MySQL Community Server 5.7. The highly intuitive graphical user interface of CIERA includes user-friendly query tools to facilitate the collation of data across relevant phenotypic environments from its phenotypic data management database and can combine that information with the genealogy and genetic data from its genealogy management and genetic data management databases, respectively.\n\nConclusionsUsing CIERA, breeders can build a comprehensive profile of germplasm, within a few minutes, to assist them in planning crosses for enhancing genetic gain by selecting superior lines for crosses.

bioinformatics↗

bioRxiv2018

Spatial Chromatin Architecture Alteration by Structural Variations in Human Genomes at Population Scale

This genome-wide study is focused on the impact of structural variants identified in individuals from 26 human populations onto three-dimensional structures of their genomes. We assess the tendency of structural variants to accumulate in spatially interacting genomic segments and design a high-resolution computational algorithm to model the 3D conformational changes resulted by structural variations. We show that differential gene transcription is closely linked to variation in chromatin interaction networks mediated by RNA polymerase II. We also demonstrate that CTCF-mediated interactions are well conserved across population, but enriched with disease-associated SNPs. Altogether, this study assesses the critical impact of structural variants on the higher order organization of chromatin folding and provides unique insight into the mechanisms regulating gene transcription at the population scale, among which the local arrangement of chromatin loops seems to be the leading one. It is the first insight into the variability of the human 3D genome at the population scale.

genomics↗

bioRxiv2018

EndoC-βH1 multi-genomic profiling defines gene regulatory programs governing human pancreatic β cell identity and function

EndoC-{beta}H1 is emerging as a critical human beta cell model to study the genetic and environmental etiologies of beta cell function, especially in the context of diabetes. Comprehensive knowledge of its molecular landscape is lacking yet required to fully take advantage of this model. Here, we report extensive chromosomal (spectral karyotyping), genetic (genotyping), epigenetic (ChIP-seq, ATAC-seq), chromatin interaction (Hi-C, Pol2 ChIA-PET), and transcriptomic (RNA-seq, miRNA-seq) maps of this cell model. Integrated analyses of these maps define known (e.g., PDX1, ISL1) and putative (e.g., PCSK1, mir-375) beta cell-specific chromatin interactions and transcriptional cis-regulatory networks, and identify allelic effects on cis-regulatory element use and expression.\n\nImportantly, comparative analyses with maps generated in primary human islets/beta cells indicate substantial preservation of chromatin looping, but also highlight chromosomal heterogeneity and fetal genomic signatures in EndoC-{beta}H1. Together, these maps, and an interactive web application we have created for their exploration, provide important tools for the broad community in the design and success of experiments to probe and manipulate the genetic programs governing beta cell identity and (dys)function in diabetes.

genomics↗

bioRxiv2018

Coordinative Metabolism of Glutamine Carbon and Nitrogen in proliferating Cancer Cells Under Hypoxia

Under hypoxia, most of glucose is converted to secretory lactate, which leads to the lack of carbon source from glucose and thus the overuse of glutamine-carbon. However, under such a condition how glutamine nitrogen is disposed to avoid releasing potentially toxic ammonia remains to be determined. Here we identify a metabolic flux of glutamine to secretory dihydroorotate under hypoxia. We found that glutamine nitrogen is indispensable to nucleotide biosynthesis, but enriched in dihyroorotate and orotate rather than processing to its downstream uridine monophosphate under hypoxia. Dihyroorotate, not orotate, is then secreted out of cells. The specific metabolic pathway occurs in vivo and is required for tumor growth. Such a metabolic pathway renders glutamine mainly to acetyl coenzyme A for lipogenesis, with the rest carbon and nitrogen being safely removed. Our results reveal how glutamine carbon and nitrogen are coordinatively metabolized under hypoxia, and provide a comprehensive understanding on glutamine metabolism.\n\nSignificanceTumor cells often addict to glutamine, and particularly utilize its carbon for lipogenesis under hypoxia. We reveal that tumor cells package the excessive glutamine-nitrogen into secretory dihydroorotate, instead of toxic ammonia. This specifically reprogrammed pathway supports in vivo tumor growth, and could offer diagnostic markers and therapeutic targets for cancers.

biochemistry↗