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Qiu, Y.

Publications and source records attributed to Qiu, Y..

At least 217 records · Page 12Linked to original sources

DNA Content and Ploidy Estimation of Festuca ovina Accessions by Flow Cytometry

Festuca ovina is a fine fescue that is used as a low-input turfgrass. The ploidy levels of F. ovina accessions held by the USDA National Plant Germplasm System (NPGS) are unknown, limiting the use of the germplasm in breeding programs. The objective of this study was to determine DNA content and estimate ploidy of these 127 accessions. Among the accessions, we identified a wide range of ploidy levels from diploid to octoploid. We also found the accessions with higher ploidy levels usually had larger seed size. These results will be informative to plant breeders and researchers using germplasm from the F. ovina collection and point to challenges in maintaining polyploid, outcrossing germplasm seed stocks in common nurseries.

plant biology↗

miR-1290 stimulates proliferation of gastric cancer by targeting SP1 with overexpression of fucosyltransferase IV and α1, 3-fucosylated glycans

Fucosylation plays an important role in the development of carcinogenesis. miRNA-1290 emerged as crucial molecule to regulate cancer cell proliferation. This study evaluated the role of miRNA-1290 to development of gastric cancer by regulation of fucosyltransferase-IV, specific protein-1 (SP1) and 1,3-fucosylated glycans.We analyzed the role of H. pylori and miR-1290 in gastric cancer cells in induce fucosylation and cell proliferation, as well as SP1 and ubiquitin protein interaction. We found miR-1290 induced proliferation in H. pylori CagA treated gastric cancer cells by stimulating FUT4/LeY fucosylation, as evidence by high expression of miR-1290 and phosphorylation of EGFR and MAPKs pathway in dose-dependent manner. In addition, miR-1290 inhibited SP1 protein with the regulation of ubiquitin-proteasomal system and leads to stimulate FUT4 and 1,3-fucosylated glycans level. We report the role of miRNA-1290 to stimulate FUT4 fucosylation and LeY through EGFR/MAPKs pathway by targeting SP1 in the development of gastric cancer.

biochemistry↗

An epigenetic LTR-retrotransposon insertion in the upstream region of BnSHP1.A9 controls quantitative pod shattering resistance in Brassica napus

Seed loss resulting from pod shattering is a major problem in oilseed rape (Brassica napus L.) production worldwide. However, the molecular mechanisms underlying pod shatter resistance are not well understood. Here we show that the pod shatter resistance at quantitative trait locus, qSRI.A9.1 is controlled by a SHATTERPROOF1 (SHP1) paralog in B. napus (BnSHP1.A9). Expression analysis by quantitative RT-PCR showed that BnSHP1.A9 was specifically expressed in flower buds, flowers and developing siliques in the oilseed rape line (R1) carrying the qSRI.A9.1 allele with negative effect, but not expressed in any tissue of the line (R2) carrying the positive effect qSRI.A9.1 allele. Transgenic plants constitutively expressing BnSHP1.A9 alleles from pod resistant and pod shattering parental lines showed that both alleles are responsible for pod shattering via promoting lignification of enb layer, which indicated allelic difference of BnSHP1.A9 gene per se is not the causal factor of the QTL. The upstream sequence of BnSHP1.A9 in the promotor region harboring highly methylated long terminal repeat retrotransposon insertion (LTR, 4803bp) in R2 repressed the expression of BnSHP.A9, and thus contributed to the positive effect on pod shatter resistance. Genetic and association analysis revealed that the copia LTR retrotransposon based marker BnSHP1.A9-R2 can be used for breeding for pod shatter resistant varieties and reducing the loss of seed yield in oilseed rape.

genetics↗

Effects of a novel three-dimensional grid intrauterine device on the uterus, steroid receptor and PAX2 of rhesus macaques

Intrauterine devices (IUDs) is the most effective methods of the reversible and long-acting contraception. 1) To develop a novel three-dimensional grid intrauterine device (3-DGIUD) with nickel-titanium (Ni-Ti) and silicone rubber. 2) To observe the effect of the 3-DGIUD on contraceptive efficacy and the change of uterus, endometrial sex steroid receptor, PAX2 in rhesus macaques (Macaca mulatta). The materials of the 3-DGIUD were the nitinol wire and the silicone rubber. The frame of the 3-DGIUD was three-dimensional and grid-like. Twenty adult female rhesus macaques were divided into the 3-DGIUD group (placing the 3-DGIUD, n=9), the sham operation group (no placing the 3-DGIUD, n=9) and the control group (n=2). On the 10th-day after surgery, the 3-DGIUD group and the sham operation group macaques were caged together with male macaques (female: male = 1:1). The uterus, 3-DGIUD and pregnancy of 18 female rhesus monkeys were examined by abdominal ultrasound every month. The endometrium pathological examination was carried out and the expression of PAX2 and hormone receptor (ER, PR) was detected by immunohistochemical staining. After 3-DGIUD was placed in case group for 3 and 12 months, only 1 of female macaque was pregnant in 9. The contraceptive effective rate was 88.9% (8/9). The 3-DGIUD in the uterus of macaques was observed by ultrasound. In the sham operation group, 9 macaques were pregnant (9/9). There was significant difference in uterine size of the 3-DGIUD group between pre-placement and after surgery for 3 and 12 months (P<0.05). The endometrial epithelium was intact, just a small number of glands vacuoles and a few neutrophils infiltration around the 3-DGIUD. The expression of endometrial ER, PR and PAX2 in 3-DGIUD group on 12 months after surgery was similar to those in control macaque. The 3-DGIUD has a good contraceptive effect on female macaques, and has no significant affection on the expression of endometrial steroid receptor and PAX2 in rhesus monkeys.

zoology↗

Large-scale transgenic Drosophila resource collections for loss- and gain-of-function studies

The Transgenic RNAi Project (TRiP), a Drosophila functional genomics platform at Harvard Medical School, was initiated in 2008 to generate and distribute a genome-scale collection of RNAi fly stocks. To date, the TRiP has generated >15,000 RNAi fly stocks. As this covers most Drosophila genes, we have largely transitioned to development of new resources based on CRISPR technology. Here, we present an update on our libraries of publicly available RNAi and CRISPR fly stocks, and focus on the TRiP-CRISPR overexpression (TRiP-OE) and TRiP-CRISPR knockout (TRiP-KO) collections. TRiP-OE stocks express sgRNAs targeting upstream of a gene transcription start site. Gene activation is triggered by co-expression of catalytically dead Cas9 (dCas9) fused to an activator domain, either VP64-p65-Rta (VPR) or Synergistic Activation Mediator (SAM). TRiP-KO stocks express one or two sgRNAs targeting the coding sequence of a gene or genes, allowing for generation of indels in both germline and somatic tissue. To date, we have generated more than 5,000 CRISPR-OE or -KO stocks for the community. These resources provide versatile, transformative tools for gene activation, gene repression, and genome engineering.

genetics↗

Feedback control of morphogen gradient scale

Gradients of the morphogen decapentaplegic (Dpp) pattern Drosophila wing imaginal discs, establishing gene expression boundaries at specific locations. As discs grow, Dpp gradients expand, keeping relative boundary positions approximately stationary. Such scaling fails in mutants for Pentagone (pent), a gene repressed by Dpp that encodes a diffusible protein that expands Dpp gradients. Although these properties fit a recent mathematical model of automatic gradient scaling, we show here that Pent lacks a property essential to that model--the ability to spread with minimal loss throughout the morphogen field. Instead, Pents actions appear confined to within a few cell diameters of its site of synthesis, and can be phenocopied by manipulating non-diffusible targets of Pent strictly within the Pent expression domain. Through genetic manipulation and mathematical modeling we develop an alternative model of scaling, driven by feedback down-regulation of Dpp receptors and co-receptors. Among the models predictions is a size limit beyond which scaling fails--something we observe directly in wing discs.

developmental biology↗

A Bayesian approach to accurate and robust signature detection on LINCS L1000 data

LINCS L1000 dataset produced by L1000 assay contains numerous cellular expression data induced by large sets of perturbagens. Although it provides invaluable resources for drug discovery as well as understanding of disease mechanisms, severe noise in the dataset makes the detection of reliable gene expression signals difficult. Existing methods for the peak deconvolution, either k-means based or Gaussian mixture model, cannot reliably recover the accurate expression level of genes in many cases, thereby limiting their robust applications in biomedical studies. Here, we have developed a novel Bayes theory based deconvolution algorithm that gives unbiased likelihood estimations for peak positions and characterizes the peak with a probability based z-scores. Based on above algorithm, a pipeline is built to process raw data from L1000 assay into signatures that represent the features of perturbagen. The performance of the proposed new pipeline is rigorously evaluated using the similarity between bio-replicates and between drugs with shared targets. The results show that the new signature derived from the proposed algorithm gives a substantially more reliable and informative representation for perturbagens than existing methods. Thus, our new Bayesian-based peak deconvolution and z-score calculation method may significantly boost the performance of invaluable L1000 data in the down-stream applications such as drug repurposing, disease modeling, and gene function prediction.

bioinformatics↗

LncRNA MIR4435-2HG mediates cisplatin resistance in HCT116 cells by regulating Nrf2 and HO-1

PURPOSECisplatin resistance is still a serious problem in clinic. However, the underlying mechanism remains unclear. In this study investigated the drug resistance of cisplatin by the cisplatin resistance cell line HCT116R.\n\nRESULTSIn this study, we found that LncRNA MIR4435-2HG level dramatically increased in the cisplatin resistance cell line HCT116R. Knockdown of MIR4435-2HG in HCR116R significantly restored the sensitivity to cisplatin, inhibited cell proliferation and promoted cell apoptosis. Furthermore, Nrf2 and HO-1 mRNA level, as the critical molecular of the oxidative stress pathway, was inhibited by the siRNA targeting to MIR4435-2HG, displaying MIR4435-2HG-mediated cisplatin resistance through the Nrf2/HO-1 pathway.\n\nCONCLUSIONOur findings demonstrated that LncRNA MIR4435-2HG as a main factor could drive the cisplatin resistance of HCT116.

cancer biology↗

From phages to mammalian viruses: viral receptors play a central role in protein-protein interaction network

MotivationReceptors on host cells play a critical role in viral infection. How phages select receptors is still unknown.\n\nResultsHere, we manually curated a high-quality database named phageReceptor, including 355 pairs of phage-host receptor interactions, 280 unique viral species or sub-species and 64 bacterial species. Sugars and proteins were most widely used by phages as receptors. The receptor usage of phages in Gram-positive bacteria was different from that in Gram-negative bacteria. Most protein receptors were located on the outer membrane. The protein receptors were highly diverse in their structures, and had little homology with mammalian virus receptors. Further functional characterization of phage protein receptors in Escherichia coli showed that they had larger node degrees and betweennesses in the protein-protein interaction (PPI) network, and higher expression levels, than other outer membrane proteins, plasma membrane proteins, or other intracellular proteins. These findings were consistent with what observed for mammalian virus receptors, suggesting that viral protein receptors play a central role in the hosts PPI network. The study deepens our understanding of virus-host interactions.\n\nAvailabilityThe database of phageReceptor is publicly accessible at http://www.computationalbiology.cn/viralRecepetor/index.html.

microbiology↗

Chloroplast Genome Sequencing and Comparative Analysis for Five Species of the Turfgrass Fine Fescues (Festuca L., Poaceae)

Fine fescues (Festuca L., Poaceae) are turfgrass species that perform well in low-input environments. Based on morphological characteristics, the most commonly-utilized fine fescues are divided into five taxa: three are subspecies within F. rubra L. and the remaining two are treated as species within the F. ovina L. complex. Morphologically, these five taxa are very similar, both identification and classification of fine fescues remain challenging. In an effort to develop identification methods for fescues, we used flow cytometry to estimate genome size, ploidy level, and sequenced the chloroplast genome of all five taxa. Fine fescue chloroplast genome sizes ranged from 133,331 to 133,841 bp and contained 113 to 114 genes. Phylogenetic relationship reconstruction using whole chloroplast genome sequences agreed with previous work based on morphology. Comparative genomics suggested unique repeat signatures for each fine fescue taxon that could potentially be used for marker development for taxon identification.

plant biology↗

Single cell chromatin accessibility reveals pancreatic islet cell type- and state-specific regulatory programs of diabetes risk

Genetic risk variants for complex, multifactorial diseases are enriched in cis-regulatory elements. Single cell epigenomic technologies create new opportunities to dissect cell type-specific mechanisms of risk variants, yet this approach has not been widely applied to disease-relevant tissues. Given the central role of pancreatic islets in type 2 diabetes (T2D) pathophysiology, we generated accessible chromatin profiles from 14.2k islet cells and identified 13 cell clusters including multiple alpha, beta and delta cell clusters which represented hormone-producing and signal-responsive cell states. We cataloged 244,236 islet cell type accessible chromatin sites and identified transcription factors (TFs) underlying both lineage- and state-specific regulation. We measured the enrichment of T2D and glycemic trait GWAS for the accessible chromatin profiles of single cells, which revealed heterogeneity in the effects of beta cell states and TFs on fasting glucose and T2D risk. We further used machine learning to predict the cell type-specific regulatory function of genetic variants, and single cell co-accessibility to link distal sites to putative cell type-specific target genes. We localized 239 fine-mapped T2D risk signals to islet accessible chromatin, and further prioritized variants at these signals with predicted regulatory function and co-accessibility with target genes. At the KCNQ1 locus, the causal T2D variant rs231361 had predicted effects on an enhancer with beta cell-specific, long-range co-accessibility to the insulin promoter, and deletion of this enhancer reduced insulin gene and protein expression in human embryonic stem cell-derived beta cells. Our findings provide a cell type- and state-resolved map of gene regulation in human islets, illuminate likely mechanisms of T2D risk at hundreds of loci, and demonstrate the power of single cell epigenomics for interpreting complex disease genetics.

genomics↗

Detecting Transcriptomic Structural Variants in Heterogeneous Contexts via the Multiple Compatible Arrangements Problem

Transcriptomic structural variants (TSVs) -- structural variants that affect expressed regions -- are common, especially in cancer. Detecting TSVs is a challenging computational problem. Sample heterogeneity (including differences between alleles in diploid organisms) is a critical confounding factor when identifying TSVs. To improve TSV detection in heterogeneous RNA-seq samples, we introduce the MO_SCPCAPULTIPLEC_SCPCAP CO_SCPCAPOMPATIBLEC_SCPCAP AO_SCPCAPRRANGEMENTC_SCPCAP PO_SCPCAPROBLEMC_SCPCAP (MCAP), which seeks k genome rearrangements to maximize the number of reads that are concordant with at least one rearrangement. This directly models the situation of a heterogeneous or diploid sample. We prove that MCAP is NP-hard and provide a [Formula]-approximation algorithm for k = 1 and a [Formula]-approximation algorithm for the diploid case (k = 2) assuming an oracle for k = 1. Combining these, we obtain a [Formula]-approximation algorithm for MCAP when k = 2 (without an oracle). We also present an integer linear programming formulation for general k. We completely characterize the graph structures that require k > 1 to satisfy all edges and show such structures are prevalent in cancer samples. We evaluate our algorithms on 381 TCGA samples and 2 cancer cell lines and show improved performance compared to the state-of-the-art TSV-calling tool, SQUID.

bioinformatics↗

Selective Activation of TASK-3-containing K+ Channels Reveals Their Therapeutic Potentials in Analgesia

The paucity of selective agonists for TASK-3, a member of two-pore domain K+ (K2P) channels, has contributed to our limited understanding of its biological functions. By targeting a novel druggable transmembrane cavity using a structure-based drug design approach, we discovered a biguanide compound, CHET3, as a highly selective allosteric activator for TASK-3-containing K2P channels, including TASK-3 homomer and TASK-3/TASK-1 heteromer. CHET3 displayed unexpectedly potent analgesic effects in vivo in a variety of acute and chronic pain models in rodents that could be abolished by pharmacology or genetic ablation of TASK-3. We further found that TASK-3-containing channels anatomically define a unique subset population of small-sized, TRPM8, TRPV1 or tyrosine hydroxylase-positive nociceptive sensory neurons and functionally regulate their membrane excitability, supporting CHET3 analgesia in thermal hyperalgesia and mechanical allodynia under chronic pain. Overall, our proof-of-concept study reveals TASK-3-containing K2P channels as a novel druggable target for treating pain.\n\nOne Sentence SummaryIdentification of a novel drug target and its new hit compounds for developing new-generation non-opioid analgesics.

pharmacology and toxicology↗

An arbitrary-spectrum spatial visual stimulator for vision research

Visual neuroscientists require accurate control of visual stimulation. However, few stimulator solutions simultaneously offer high spatio-temporal resolution and free control over the spectra of the light sources, because they rely on off-the-shelf technology developed for human trichromatic vision. Importantly, consumer displays fail to drive UV-shifted short wavelength-sensitive photoreceptors, which strongly contribute to visual behaviour in many animals, including mice, zebrafish and fruit flies. Moreover, many non-mammalian species feature more than three spectral photoreceptor types. Here, we present a flexible, spatial visual stimulator with up to 6 arbitrary spectrum chromatic channels. It combines a standard digital light processing engine with open source hard- and software that can be easily adapted to the experimentalists needs. We demonstrate the capability of this general visual stimulator experimentally in the in vitro mouse retinal whole-mount and the in vivo zebrafish. Hereby, we intend starting a community effort of sharing and developing a common stimulator design.

neuroscience↗

Developmentally Regulated Genome Editing in Terminally Differentiated N2-Fixing Heterocysts of Anabaena cylindrica ATCC 29414

Some vegetative cells of Anabaena cylindrica are programed to differentiate semi-regularly spaced, single heterocysts along filaments. Since heterocysts are terminally differentiated non-dividing cells, with the sole known function for solar-powered N2-fixation, is it necessary for a heterocyst to retain the entire genome ({approx}7.1 Mbp) from its progenitor vegetative cell? By sequencing the heterocyst genome, we discovered and confirmed that at least six DNA elements ({approx}0.12 Mbp) are deleted during heterocyst development. The six-element deletions led to the restoration of five genes (nifH1, nifD, hupL, primase P4 and a hypothetical protein gene) that were interrupted in vegetative cells. The deleted elements contained 172 genes present in the genome of vegetative cells. By sequence alignments of intact nif genes (nifH, nifD and hupL) from N2-fixing cyanobacteria (multicellular and unicellular) as well as other N2-fixing bacteria (non-cyanobacteria), we found that interrupted nif genes all contain the conserved core sequences that may be required for phage DNA insertion. Here, we discuss the nif genes interruption which uniquely occurs in heterocyst-forming cyanobacteria. To our best knowledge, this is first time to sequence the genome of heterocyst, a specially differentiated oxic N2-fixing cell. This research demonstrated that (1) different genomes may occur in distinct cell types in a multicellular bacterium; and (2) genome editing is coupled to cellular differentiation and/or cellular function in a heterocyst-forming cyanobacterium.

microbiology↗

A flexible simulation toolkit for designing and evaluating ChIP-sequencing experiments

A major challenge in evaluating quantitative ChIP-seq analyses, such as peak calling and differential binding, is a lack of reliable ground truth data. We present Tulip, a toolkit for rapidly simulating ChIP-seq data using statistical models of the experimental steps. Tulip may be used for a range of applications, including power analysis for experimental design, benchmarking of analysis tools, and modeling effects of processes such as replication on ChIP-seq signals.

genomics↗

FIREcaller: an R package for detecting frequently interacting regions from Hi-C data

Hi-C experiments have been widely adopted to study chromatin spatial organization, which plays an essential role in genome function. We have recently identified frequently interacting regions (FIREs) and found that they are closely associated with cell-type-specific gene regulation. However, computational tools for detecting FIREs from Hi-C data are still lacking. In this work, we present FIREcaller, a stand-alone, user-friendly R package for detecting FIREs from Hi-C data. FIREcaller takes raw Hi-C contact matrices as input, performs within-sample and cross-sample normalization, and outputs continuous FIRE scores, dichotomous FIREs, and super-FIREs. Applying FIREcaller to Hi-C data from various human tissues, we demonstrate that FIREs and super-FIREs identified, in a tissue-specific manner, are closely related to gene regulation, are enriched for enhancer-promoter (E-P) interactions, tend to overlap with regions exhibiting epigenomic signatures of cis-regulatory roles, and aid the interpretation or GWAS variants. The FIREcaller package is implemented in R and freely available at https://yunliweb.its.unc.edu/FIREcaller. Highlights- Frequently Interacting Regions (FIREs) can be used to identify tissue and cell-type-specific cis-regulatory regions. - An R software, FIREcaller, has been developed to identify FIREs and clustered FIREs into super-FIREs.

bioinformatics↗

The MADS-box transcription factor PHERES1 controls imprinting in the endosperm by binding to domesticated transposons

MADS-box transcription factors are ubiquitous in eukaryotic organisms and play major roles during plant development. Nevertheless, their function in seed development remains largely unknown. Here we show that the imprinted Arabidopsis thaliana MADS-box TF PHERES1 (PHE1) is a master regulator of paternally expressed imprinted genes, as well as of non-imprinted key regulators of endosperm development. PHE1 binding sites show distinct epigenetic modifications on maternal and paternal alleles, correlating with parental-specific transcriptional activity. Importantly, we show that the CArG-box-like DNA-binding motifs bound by PHE1 have been distributed by RC/Helitron transposable elements. Our data provide an example of molecular domestication of these elements, which by distributing PHE1 binding sites throughout the genome, have facilitated the recruitment of crucial endosperm regulators into a single transcriptional network.

plant biology↗