Biology subjects

Yu, M.

Publications and source records attributed to Yu, M..

11 recordsLinked to original sources

bioRxiv2018

Microplate Assay for Denatured Collagen using CollagenHybridizing Peptides

The purpose of this study was to develop a microplate assay for quantifying denatured collagen by measuring the fluorescence of carboxyfluorescein bound collagen hybridizing peptides (F-CHP). We have shown that F-CHP binds selectively with denatured collagen, and that mechanical overload of tendon fascicles causes collagen denaturation. Proteinase K was used to homogenize tissue samples after F-CHP staining, allowing fluorescence measurement using a microplate reader. We compared our new assay to our previous image analysis method and the trypsin-hydroxyproline assay, which is the only other available method to directly quantify denatured collagen. Relative quantification of denatured collagen was performed in rat tail tendon fascicles subjected to incremental tensile overload, and normal and ostoeoarthritic guinea pig cartilage. In addition, the absolute amount of denatured collagen was determined in rat tail tendon by correlating F-CHP fluorescence with percent denatured collagen as determined by the trypsin-hydroxyproline assay. Rat tail tendon fascicles stretched to low strains (<7.5%) exhibited minimal denature collagen, but values rapidly increased at medium strains (7.5-10.5%) and plateaued at high strains ([≥]12%). Osteoarthritic cartilage had higher F-CHP fluorescence than healthy cartilage. Both of these outcomes are consistent with previous studies. With the calibration curve, the microplate assay was able to absolutely quantify denatured collagen in mechanically damaged rat tail tendon fascicles as reliably as the trypsin-hydroxyproline assay. Further, we achieved these results more efficiently than current methods in a rapid, high-throughput manner, with multiple types of collagenous tissue while maintaining accuracy.

bioengineering↗

bioRxiv2018

GWAS-driven Pathway Analyses and Functional Validation Suggest GLIS1 as a Susceptibility Gene for Mitral Valve Prolapse

Nonsyndromic Mitral valve prolapse (MVP) is a common degenerative valvular heart disease with severe health consequences, including arrhythmia, heart failure and sudden death. MVP is characterized by excess extracellular matrix secretion and cellular disorganization which leads to bulky valves that are unable to co-apt properly during ventricular systole. However, the triggering mechanisms of this process are mostly unknown. Using pathway enrichment tools applied to GWAS we show that genes at risk loci are involved in biological functions relevant to cell adhesion and migration during cardiac development and in response to shear stress. Through genetic, in silico and in vivo experiments we demonstrates the presence of several genes involved in gene regulation, including GLIS1, a transcription factor that regulates Hedgehog signaling. Our findings define genetic, molecular and cellular mechanisms underlying non-syndromic MVP and implicate disrupted endothelial to mesenchymal transition and cell migration as a potential common cause to this disease.

genetics↗

bioRxiv2018

MAPS: model-based analysis of long-range chromatin interactions from PLAC-seq and HiChIP experiments

Hi-C and chromatin immunoprecipitation (ChIP) have been combined to identify long-range chromatin interactions genome-wide at reduced cost and enhanced resolution, but extracting the information from the resulting datasets has been challenging. Here we describe a computational method, MAPS, Model-based Analysis of PLAC-seq and HiChIP, to process the data from such experiments and identify long-range chromatin interactions. MAPS adopts a zero-truncated Poisson regression framework to explicitly remove systematic biases in the PLAC-seq and HiChIP datasets, and then uses the normalized chromatin contact frequencies to identify significant chromatin interactions anchored at genomic regions bound by the protein of interest. MAPS shows superior performance over existing software tools in analysis of chromatin interactions centered on cohesin, CTCF and H3K4me3 associated regions in multiple cell types. MAPS is freely available at https://github.com/ijuric/MAPS.

bioinformatics↗

bioRxiv2018

An improved high-quality genome assembly and annotation of Qingke, Tibetan hulless barley

BackgroundThe Tibetan hulless barley (Hordeum vulgare L. var. nudum), also called \"Qingke\" in Chinese and \"Ne\" in Tibetan, is the staple food for Tibetans and an important livestock feed in the Tibetan Plateau. The Tibetan hulless barley in China has about 3500 years of cultivation history, mainly produced in Tibet, Qinghai, Sichuan, Yunnan and other areas. In addition, Tibetan hulless barley has rich nutritional value and outstanding health effects, including the beta glucan, dietary fiber, amylopectin, the contents of trace elements, which are higher than any other cereal crops.\n\nFindingsHere, we reported an improved high-quality assembly of Tibetan hulless barley genome with 4.0 Gb in size. We employed the falcon assembly package, scaffolding and error correction tools to finish improvement using PacBio long reads sequencing technology, with contig and scaffold N50 lengths of 1.563Mb and 4.006Mb, respectively, representing more continuous than the original Tibetan hulless barley genome nearly two orders of magnitude. We also re-annotated the new assembly, and reported 61,303 stringent confident putative protein-coding genes, of which 40,457 is HC genes. We have developed a new Tibetan hulless barley genome database (THBGD) to download and use friendly, as well as to better manage the information of the Tibetan hulless barley genetic resources.\n\nConclusionsThe availability of new Tibetan hulless barley genome and annotations will take the genetics of Tibetan hulless barley to a new level and will greatly simplify the breeders effort. It will also enrich the granary of the Tibetan people.

genomics↗

bioRxiv2018

Mathematical modelling reveals how MeCP2 restrains transcriptional elongation in human neurons

Patterns of gene expression are primarily determined by proteins that locally enhance or repress transcription. While many transcription factors target a restricted number of genes, others appear to modulate transcription levels globally. An example is MeCP2, an abundant methylated-DNA binding protein that is mutated in the neurological disorder Rett Syndrome. Despite much research, the molecular mechanism by which MeCP2 regulates gene expression is not fully resolved. Here we integrate quantitative, multi-dimensional experimental analysis and mathematical modelling to show that MeCP2 is a novel type of global transcriptional regulator whose binding to DNA creates "slow sites" in gene bodies. Waves of slowed-down RNA polymerase II formed behind these sites travel backward and indirectly affect initiation, reminiscent of defect-induced shock waves in non-equilibrium physics transport models. This mechanism differs from conventional gene regulation mechanisms, which often involve direct modulation of transcription initiation. Our findings uncover a genome-wide function of DNA methylation that may account for the reversibility of Rett syndrome in mice. Moreover, our combined theoretical and experimental approach provides a general method for understanding how global gene expression patterns are choreographed.

biophysics↗

bioRxiv2018

Host protein CD63 enhances viral RNA replication by interacting with human astrovirus nonstructural protein nsP1a/4

Human astrovirus nonstructural protein nsP1a/4, located at the C-terminal end of nsP1a, is thought to be involved in the regulation of RNA replication and capsid maturation;however, its rolesviral growth and virulence are not well understood. We investigated the intracellular host proteins that interact with nsP1a and explored the potential roles of the interaction in the pathogenesis of human astrovirus infection. We screened 14 independent proteins with a cDNA library derived from Caco-2 cells using a yeast two-hybrid technique. Deletion analysis revealed that interaction between the nsP1a/4 domain and the large extracellular loop (LEL) domain of the human protein CD63 is necessary for astrovirus replication. The interaction was confirmed by glutathione-S-transferase (GST) pull-down assays and co-immunoprecipitation assays. Confocal microscopy showed that nsP1a/4 and CD63 co-localized in the cytoplasm of infected cells. Over expression of CD63 promoted viral RNA synthesis, whereas knockdown of CD63 markedly decreased viral RNA levels. Those results suggest that CD63 plays a critical role in human astrovirus RNA replication. The interaction between CD63 and nsP1a/4 provides a channel to further understand the roles of interactions between host and virus proteins in astrovirus infection and release.\n\nIMPORTANCEHuman astroviruses cause gastroenteritis in young children and immunocompromised patients. In this study, we provide evidence that nsP1a/4, a nonstructural protein located at the C-terminal end of the human astrovirus nsP1a polyprotein, interacts with the host protein CD63. Over expression of CD63 promoted viral RNA replication, whereas knockdown of CD63 decreased virus RNA replication, indicating that CD63 plays a critical role in the human astrovirus life cycle.

microbiology↗

bioRxiv2018

Mitochondrial Fusion Suppresses Pancreatic Cancer Growth via Reduced Oxidative Metabolism

Pancreatic cancer is a highly lethal disease whose aggressive biology that is driven by mitochondrial oxidative metabolism. Mitochondria normally form a network of fused organelles, but we find that patient-derived and genetically engineered murine pancreatic cancer cells exhibit highly fragmented mitochondria with robust oxygen consumption rates (OCR). When mitochondrial fusion was activated by the genetic or pharmacological inhibition Drp1, the morphology and metabolism of human and murine pancreatic cancer cells more closely resembled that of normal pancreatic epithelial cells. This reduced metabolism was correlated with slower tumor growth, fewer metastases, and enhanced survival in a syngeneic orthotopic model. Similarly, directly activating mitochondrial fusion by overexpression of Mfn2 also reduced tumor growth and metastases. Mitochondrial fusion in pancreatic cancer cells was associated with reduced mitochondrial mass and Complex I expression and function. Thus, these data suggest that enhancing mitochondrial fusion through Drp1 inhibition or enhanced Mfn2 expression or function has strong tumor suppressive activity against pancreatic cancer and may thus represent a highly novel and efficacious therapeutic target.

cancer biology↗

bioRxiv2018

Gallic Acid Disrupts Aβ1-42 Aggregation and Rescues Cognitive Decline of APP/PS1 Transgenic Mouse

Alzheimers disease (AD) treatment represents one of the largest unmet medical needs. Developing drugs capable of preventing A{beta} aggregation is an excellent approach to prevent and treat AD. Here, we show that gallic acid (GA), a naturally occurring polyphenolic small molecule rich in grape seeds and fruits, has the capacity to alleviate cognitive decline of APP/PS1 transgenic mouse through reduction of A{beta}1-42 aggregation and neurotoxicity. Oral administration of GA not only improved the spatial reference memory and spatial working memory of early stage AD mice (4-month-old), but also significantly reduced the more severe deficits in spatial learning, reference memory, short-term recognition and spatial working memory of the late stage AD mice (9-month-old). The hippocampal long-term-potentiation (LTP) was also significantly elevated in the GA-treated late stage APP/PS1 AD mice. Atomic force microscopy (AFM), dynamic light scattering (DLS) and thioflavin T (ThT) fluorescence densitometry analyses showed that GA can reduce A{beta}1-42 aggregation from forming toxic oligomers and fibrils. Indeed, pre-incubating GA with oligomeric A{beta}1-42 reduced A{beta} 1-42-mediated intracellular calcium influx and neurotoxicity. Molecular docking studies identified that the 3,4,5-hydroxyle groups of GA were essential in noncovalently stabilizing GA binding to the Lys28-Ala42 salt bridge and the -COOH group is critical for disrupting the salt bridge of A{beta}1-42. The predicated covalent interaction through Schiff-base formation between the carbonyl group of the oxidized product and {varepsilon}-amino group of Lys16 is also critical for the disruption of A{beta}1-42 S-shaped triple-{beta}-motif and toxicity. Together, these studies demonstrated that GA can prevent and protect the AD brain through disrupting A{beta}1-42 aggregation.

neuroscience↗

bioRxiv2017

Plant genes influence microbial hubs that shape beneficial leaf communities

Although complex interactions between hosts and microbial associates are increasingly well documented, we still know little about how and why hosts shape microbial communities in nature. In addition, host genetic effects on microbial communities vary widely depending on the environment, obscuring conclusions about which microbes are impacted and which plant functions are important. We characterized the leaf microbiota of 200 A. thaliana genotypes in eight field experiments and detected consistent host effects on specific, broadly distributed microbial OTUs. Host genetics disproportionately influenced hubs within the microbial communities, with their impact then percolating through the community, as evidenced by a decline in the heritability of particular OTUs with their distance to the nearest hub. By simultaneously measuring host performance, we found that host genetics associated with microbial hubs explained over 10% of the variation in lifetime seed production among host genotypes across sites and years. We successfully cultured one of these microbial hubs and demonstrated its growth-promoting effects on plants grown in sterile conditions. Finally, genome-wide association mapping identified many putatively causal genes with small effects on the relative abundance of microbial hubs across sites and years, and these genes were enriched for those involved in the synthesis of specialized metabolites, auxins and the immune system. Using untargeted metabolomics, we corroborate the consistent association of variation in specialized metabolites and microbial hubs across field sites. Together, our results reveal that host natural variation impacts the microbial communities in consistent ways across environments and that these effects contribute to fitness variation among host genotypes.

microbiology↗

bioRxiv2016

Cohesin dependent compaction of mitotic chromosomes

Structural Maintenance of Chromosomes (SMC) protein complexes are key determinants of chromosome conformation. Using Hi-C and polymer modelling, we study how cohesin and condensin, two deeply-conserved SMC complexes, organize chromosomes in budding yeast. The canonical role of cohesins is to co-align sister chromatids whilst condensins generally compact mitotic chromosomes. We find strikingly different roles in budding yeast mitosis. First, cohesin is responsible for compacting mitotic chromosomes arms, independent of and in addition to its role in sister-chromatid cohesion. Cohesin dependent mitotic chromosome compaction can be fully accounted for through cis-looping of chromatin by loop extrusion. Second, condensin is dispensable for compaction along chromosomal arms and instead plays a specialized role, structuring rDNA and peri-centromeric regions. Our results argue that the conserved mechanism of SMC complexes is to form chromatin loops and that SMC-dependent looping is readily deployed in a range of contexts to functionally organize chromosomes.\n\nHighlightsO_LICohesin compacts mitotic chromosomes independently of sister chromatid cohesion.\nC_LIO_LIFormation of cis-loops by loop extrusion fully accounts for cohesin-mediated compaction.\nC_LIO_LICondensin is not required for mitotic chromosome compaction of yeast chromosome arms\nC_LIO_LICondensin has a focused pre-anaphase role at centromeres and rDNA in yeast\nC_LI

genomics↗

bioRxiv2016

Domains of methylated CAC and CG target MeCP2 to tune transcription in the brain

Mutations in the gene encoding the methyl-CG binding protein MeCP2 cause neurological disorders including Rett syndrome. The di-nucleotide methyl-CG (mCG) is the canonical MeCP2 DNA recognition sequence, but additional targets including non-methylated sequences have been reported. Here we use brain-specific depletion of DNA methyltransferase to show that DNA methylation is the primary determinant of MeCP2 binding in mouse brain. In vitro and in vivo analyses reveal that MeCP2 binding to non-CG methylated sites in brain is largely confined to the tri-nucleotide sequence mCAC. Structural modeling suggests that mCG and mCAC may be interchangeable as minimal structural perturbation of MeCP2 accompanies binding. MeCP2 binding to chromosomal DNA in mouse brain is proportional to mCG + mCAC density and defines domains within which transcription is sensitive to MeCP2 occupancy. The results suggest that MeCP2 interprets patterns of mCAC and mCG in the brain to negatively modulate transcription of genes critical for neuronal function.

molecular biology↗