Center for High throughput Biology
Center for High throughput Biology
Gao T.,Wilmer Eye Institute |
He B.,Children's Hospital of Philadelphia |
Liu S.,Wilmer Eye Institute |
Zhu H.,Sidney Kimmel Comprehensive Cancer Center |
And 5 more authors.
Bioinformatics | Year: 2016
Motivation: Multiple high-throughput approaches have recently been developed and allowed the discovery of enhancers on a genome scale in a single experiment. However, the datasets generated from these approaches are not fully utilized by the research community due to technical challenges such as lack of consensus enhancer annotation and integrative analytic tools. Results: We developed an interactive database, EnhancerAtlas, which contains an atlas of 2,534,123 enhancers for 105 cell/tissue types. A consensus enhancer annotation was obtained for each cell by summation of independent experimental datasets with the relative weights derived from a cross-validation approach. Moreover, EnhancerAtlas provides a set of useful analytic tools that allow users to query and compare enhancers in a particular genomic region or associated with a gene of interest, and assign enhancers and their target genes from a custom dataset. © The Author 2016.
Jongkees S.A.K.,University of Tokyo |
Caner S.,University of British Columbia |
Tysoe C.,Center for High Throughput Biology |
Tysoe C.,University of British Columbia |
And 4 more authors.
Cell Chemical Biology | Year: 2017
Human pancreatic α-amylase (HPA) is responsible for degrading starch to malto-oligosaccharides, thence to glucose, and is therefore an attractive therapeutic target for the treatment of diabetes and obesity. Here we report the discovery of a unique lariat nonapeptide, by means of the RaPID (Random non-standard Peptides Integrated Discovery) system, composed of five amino acids in a head-to-side-chain thioether macrocycle and a further four amino acids in a 310helical C terminus. This is a potent inhibitor of HPA (Ki = 7 nM) yet exhibits selectivity for the target over other glycosidases tested. Structural studies show that this nonapeptide forms a compact tertiary structure, and illustrate that a general inhibitory motif involving two phenolic groups is often accessed for tight binding of inhibitors to HPA. Furthermore, the work reported here demonstrates the potential of this methodology for the discovery of de novo peptide inhibitors against other glycosidases. © 2017 Elsevier Ltd
Mewis K.,Genome Science and Technology Program |
Armstrong Z.,Genome Science and Technology Program |
Song Y.C.,UBC Graduate Program in Bioinformatics |
Withers S.G.,Genome Science and Technology Program |
And 2 more authors.
Journal of Biotechnology | Year: 2013
Functional metagenomics has emerged as a powerful method for gene model validation and enzyme discovery from natural and human engineered ecosystems. Here we report development of a high-throughput functional metagenomic screen incorporating bioinformatic and biochemical analyses features. A fosmid library containing 6144 clones sourced from a mining bioremediation system was screened for cellulase activity using 2,4-dinitrophenyl β-cellobioside, a previously proven cellulose model substrate. Fifteen active clones were recovered and fully sequenced revealing 9 unique clones with the ability to hydrolyse 1,4-β-. d-glucosidic linkages. Transposon mutagenesis identified genes belonging to glycoside hydrolase (GH) 1, 3, or 5 as necessary for mediating this activity. Reference trees for GH 1, 3, and 5 families were generated from sequences in the CAZy database for automated phylogenetic analysis of fosmid end and active clone sequences revealing known and novel cellulase encoding genes. Active cellulase genes recovered in functional screens were subcloned into inducible high copy plasmids, expressed and purified to determine enzymatic properties including thermostability, pH optima, and substrate specificity. The workflow described here provides a general paradigm for recovery and characterization of microbially derived genes and gene products based on genetic logic and contemporary screening technologies developed for model organismal systems. © 2013 The Authors.
Rho H.-S.,Center for High Throughput Biology |
Newman R.H.,North Carolina A&T State University |
Zhang J.,Sidney Kimmel Comprehensive Cancer Center |
Zhu H.,Center for High Throughput Biology |
And 2 more authors.
Bioinformatics | Year: 2014
Summary: Phosphorylation plays an important role in cellular signal transduction. Current phosphorylation-related databases often focus on the phosphorylation sites, which are mainly determined by mass spectrometry. Here, we present PhosphoNetworks, a phosphorylation database built on a high-resolution map of phosphorylation networks. This high-resolution map of phosphorylation networks provides not only the kinase-substrate relationships (KSRs), but also the specific phosphorylation sites on which the kinases act on the substrates. The database contains the most comprehensive dataset for KSRs, including the relationships from a recent high-throughput project for identification of KSRs using protein microarrays, as well as known KSRs curated from the literature. In addition, the database also includes several analytical tools for dissecting phosphorylation networks. PhosphoNetworks is expected to play a prominent role in proteomics and phosphorylation-related disease research.Availability and implementation: http://www.phosphonetworks.orgContact: © 2013 The Author .
Chen S.,University of Washington |
Blackshaw S.,Center for High Throughput Biology |
Blackshaw S.,Johns Hopkins University
Development | Year: 2011
The mammalian retina is a tractable model system for analyzing transcriptional networks that guide neural development. Spalt family zinc-finger transcription factors play a crucial role in photoreceptor specification in Drosophila, but their role in mammalian retinal development has not been investigated. In this study, we show that that the spalt homolog Sall3 is prominently expressed in developing cone photoreceptors and horizontal interneurons of the mouse retina and in a subset of cone bipolar cells. We find that Sall3 is both necessary and sufficient to activate the expression of multiple cone-specific genes, and that Sall3 protein is selectively bound to the promoter regions of these genes. Notably, Sall3 shows more prominent expression in short wavelength-sensitive cones than in medium wavelength-sensitive cones, and that Sall3 selectively activates expression of the short but not the medium wavelength-sensitive cone opsin gene. We further observe that Sall3 regulates the differentiation of horizontal interneurons, which form direct synaptic contacts with cone photoreceptors. Loss of function of Sall3 eliminates expression of the horizontal cell-specific transcription factor Lhx1, resulting in a radial displacement of horizontal cells that partially phenocopies the loss of function of Lhx1. These findings not only demonstrate that Spalt family transcription factors play a conserved role in regulating photoreceptor development in insects and mammals, but also identify Sall3 as a factor that regulates terminal differentiation of both cone photoreceptors and their postsynaptic partners. © 2011. Published by The Company of Biologists Ltd.
de Melo J.,Johns |
Blackshaw S.,Johns |
Blackshaw S.,Center for High Throughput Biology |
Blackshaw S.,Institute for Cell Engineering
Journal of Visualized Experiments | Year: 2011
The functional characterization of genes expressed during mammalian retinal development remains a significant challenge. Gene targeting to generate constitutive or conditional loss of function knockouts remains cost and labor intensive, as well as time consuming. Adding to these challenges, retina expressed genes may have essential roles outside the retina leading to unintended confounds when using a knockout approach. Furthermore, the ability to ectopically express a gene in a gain of function experiment can be extremely valuable when attempting to identify a role in cell fate specification and/or terminal differentiation. We present a method for the rapid and efficient incorporation of DNA plasmids into the neonatal mouse retina by electroporation. The application of short electrical impulses above a certain field strength results in a transient increase in plasma membrane permeability, facilitating the transfer of material across the membrane 1,2,3,4. Groundbreaking work demonstrated that electroporation could be utilized as a method of gene transfer into mammalian cells by inducing the formation of hydrophilic plasma membrane pores allowing the passage of highly charged DNA through the lipid bilayer 5. Continuous technical development has resulted in the viability of electroporation as a method for in vivo gene transfer in multiple mouse tissues including the retina, the method for which is described herein 6, 7, 8, 9, 10. DNA solution is injected into the subretinal space so that DNA is placed between the retinal pigmented epithelium and retina of the neonatal (P0) mouse and electrical pulses are applied using a tweezer electrode. The lateral placement of the eyes in the mouse allows for the easy orientation of the tweezer electrode to the necessary negative pole-DNA-retina-positive pole alignment. Extensive incorporation and expression of transferred genes can be identified by postnatal day 2 (P2). Due to the lack of significant lateral migration of cells in the retina, electroporated and non-electroporated regions are generated. Non-electroporated regions may serve as internal histological controls where appropriate. Retinal electroporation can be used to express a gene under a ubiquitous promoter, such as CAG, or to disrupt gene function using shRNA constructs or Cre-recombinase. More targeted expression can be achieved by designing constructs with cell specific gene promoters. Visualization of electroporated cells is achieved using bicistronic constructs expressing GFP or by co-electroporating a GFP expression construct. Furthermore, multiple constructs may be electroporated for the study of combinatorial gene effects or simultaneous gain and loss of function of different genes. Retinal electroporation may also be utilized for the analysis of genomic cis-regulatory elements by generating appropriate expression constructs and deletion mutants. Such experiments can be used to identify cis-regulatory regions sufficient or required for cell specific gene expression 11. Potential experiments are limited only by construct availability. © JoVE 2006-2011 All Rights Reserved.
Starczynowski D.T.,British Columbia Cancer Agency Research Center |
Starczynowski D.T.,University of British Columbia |
Kuchenbauer F.,British Columbia Cancer Agency Research Center |
Wegrzyn J.,British Columbia Cancer Agency Research Center |
And 7 more authors.
Experimental Hematology | Year: 2011
Objective: MicroRNAs (miRNAs) are short noncoding RNAs capable of exerting dramatic effects by postranscriptionally regulating numerous messenger RNA targets. Toll-like receptor-4 (TLR-4) activation by lipopolysaccharide (LPS) induces the expression of three miRNAs in myeloid cells. The aim of this study was to investigate the in vivo consequences of expressing one of the LPS-induced miRNA, miR-146a, in bone marrow cells. Material and Methods: The role of miR-146a in hematopoiesis was investigated by using retroviral infection and overexpression of miR-146a in mouse hematopoietic stem/progenitor cells, followed by bone marrow transplantations. Results: miR-146a is mainly expressed in primitive hematopoietic stem cells and T lymphocytes. Overexpression of miR-146a in hematopoietic stem cells, followed by bone marrow transplantation, resulted in a transient myeloid expansion, decreased erythropoiesis, and impaired lymphopoiesis in select anatomical locations. Enforced expression of miR-146a also impaired bone marrow reconstitution in recipient mice and reduced survival of hematopoietic stem cells. Conclusions: Our results indicate that miR-146a, an LPS-induced miRNA, regulates multiple aspects of hematopoietic differentiation and survival. Furthermore, the consequences of miR-146a expression in hematopoietic cells mimics some of the reported effects with acute LPS exposure. © 2011 ISEH - Society for Hematology and Stem Cells.
Mulder K.W.,Cancer Research UK Research Institute |
Wang X.,Cancer Research UK Research Institute |
Escriu C.,Cancer Research UK Research Institute |
Ito Y.,Cancer Research UK Research Institute |
And 10 more authors.
Nature Cell Biology | Year: 2012
It is becoming clear that interconnected functional gene networks, rather than individual genes, govern stem cell self-renewal and differentiation. To identify epigenetic factors that impact on human epidermal stem cells we performed siRNA-based genetic screens for 332 chromatin modifiers. We developed a Bayesian mixture model to predict putative functional interactions between epigenetic modifiers that regulate differentiation. We discovered a network of genetic interactions involving EZH2, UHRF1 (both known to regulate epidermal self-renewal), ING5 (a MORF complex component), BPTF and SMARCA5 (NURF complex components). Genome-wide localization and global mRNA expression analysis revealed that these factors impact two distinct but functionally related gene sets, including integrin extracellular matrix receptors that mediate anchorage of epidermal stem cells to their niche. Using a competitive epidermal reconstitution assay we confirmed that ING5, BPTF, SMARCA5, EZH2 and UHRF1 control differentiation under physiological conditions. Thus, regulation of distinct gene expression programs through the interplay between diverse epigenetic strategies protects epidermal stem cells from differentiation. © 2012 Macmillan Publishers Limited. All rights reserved.
Cumberworth A.,Center for High Throughput Biology |
Bui J.M.,Center for High Throughput Biology |
Gsponer J.,Center for High Throughput Biology
Journal of Computational Chemistry | Year: 2016
Implicit solvent models for biomolecular simulations have been developed to use in place of more expensive explicit models; however, these models make many assumptions and approximations that are likely to affect accuracy. Here, the changes in free energies of solvation upon folding of several fast folding proteins are calculated from previously run μs-ms simulations with a number of implicit solvent models and compared to the values needed to be consistent with the explicit solvent model used in the simulations. In the majority of cases, there is a significant and substantial difference between the values calculated from the two approaches that is robust to the details of the calculations. These differences could only be remedied by selecting values for the model parameters - the internal dielectric constant for the polar term and the surface tension coefficient for the nonpolar term - that were system-specific or physically unrealistic. We discuss the potential implications of our findings for both implicit and explicit solvent simulations. © 2015 Wiley Periodicals, Inc. This work compares changes in solvation free energy upon folding provided by several implicit solvent models and the TIP3P explicit solvent model. Inconsistencies of an unexpected magnitude were found across the models, which could only be corrected by using settings that were nonphysical or system-specific. © 2015 Wiley Periodicals, Inc.
PubMed | Center for High Throughput Biology
Type: Journal Article | Journal: Journal of computational chemistry | Year: 2016
Implicit solvent models for biomolecular simulations have been developed to use in place of more expensive explicit models; however, these models make many assumptions and approximations that are likely to affect accuracy. Here, the changes in free energies of solvation upon folding Gsolv of several fast folding proteins are calculated from previously run s-ms simulations with a number of implicit solvent models and compared to the values needed to be consistent with the explicit solvent model used in the simulations. In the majority of cases, there is a significant and substantial difference between the Gsolv values calculated from the two approaches that is robust to the details of the calculations. These differences could only be remedied by selecting values for the model parameters-the internal dielectric constant for the polar term and the surface tension coefficient for the nonpolar term-that were system-specific or physically unrealistic. We discuss the potential implications of our findings for both implicit and explicit solvent simulations. 2015 Wiley Periodicals, Inc.