Resistance Is Futile: Physical Science, Systems Biology and Single-Cell Analysis to Understanding the Plastic and Heterogeneous
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A Thermodynamic Based Interpretation of Protein Expression Heterogeneity in Different GBM Tumors Identifies Tumor Specific Unbalanced Processes
A Thermodynamic-Based Interpretation of Protein Expression Heterogeneity in Different Glioblastoma Multiforme Tumors Identifies Tumor-Specific Unbalanced Processes The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Kravchenko-Balasha, Nataly; Johnson, Hannah and White, Forest M. “A Thermodynamic-Based Interpretation of Protein Expression Heterogeneity in Different Glioblastoma Multiforme Tumors Identifies Tumor-Specific Unbalanced Processes.” The Journal of Physical Chemistry B 120, 26 (July 2016): 5990–5997 © 2016 American Chemical Society As Published http://dx.doi.org/10.1021/acs.jpcb.6b01692 Publisher American Chemical Society (ACS) Version Author's final manuscript Citable link http://hdl.handle.net/1721.1/110914 Terms of Use Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author J Phys Chem Manuscript Author B. Author Manuscript Author manuscript; available in PMC 2017 July 07. Published in final edited form as: J Phys Chem B. 2016 July 7; 120(26): 5990–5997. doi:10.1021/acs.jpcb.6b01692. A Thermodynamic Based Interpretation of Protein Expression Heterogeneity in Different GBM Tumors Identifies Tumor Specific Unbalanced Processes Nataly Kravchenko-Balasha1,2, Hannah Johnson3, Forest M. White4, James R. Heath1,#, and R. D. Levine5,6,* 1NanoSystems Biology Cancer Center, Division -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
ON STATISTICAL MODELS and PRIOR DISTRIBUTIONS in the THEORY of CHEMICAL REACTIONS A. BEN-SHAUL Main Characteristics: (I) the E
Chemical Physics 22 (1977) 341-366 0 NorthHolland PubIishing Company ON STATISTICAL MODELS AND PRIOR DISTRIBUTIONS IN THE THEORY OF CHEMICAL REACTIONS A. BEN-SHAUL Department of Physical Chemistry, The Hebrew University,Jerusalem, Israel Received 3 January 1977 _ Statistical models which yield rate expressions involving the asymptotic channel states are classifiedaccording to thiee main characteristics:(i) The ensemblein which frameworkthe basic statisticalassumption is formulated.This assumption states that the initial and final states of the collision are, partly or completely, independent. (ii) The “measure in phase” associated with the product state distriiution. (iii) The extent to which dynamicat considerations are incorporated into the &deI. In this connection the discussion wih be confmed to the effects of angular momentum restrictions. The diversity in statistical models is demonstrated by comparing the product vibrational and rotational distributions obtained from several models for atom-diatom exchange reactions. Numerical results are presented for two cxoergic reactions which involve dif- ferent mass combinations. Particular attention is paid to a comparison between the objectives, assumptions and the final expressions for product state distributions corresponding to the so called phase space theory on the one hand and the prior (zero surprisal) limit of the information theoretic approach to moIecular dynamics on the other. I. Introduction inversion. In such cases one may use the statistical models as standards against which actual results can Many theories of molecular [l-4] and nuclear [.5, be compared [ 181 or as bases for the development 61 collisions employ (various) statistical assumptions of more elaborate models. In the information theoretic to describe collision processes and to predict their approach to molecular collision dynamics [42--721 outcomes. -
Identification of C3 As a Therapeutic Target for Diabetic Nephropathy By
www.nature.com/scientificreports OPEN Identifcation of C3 as a therapeutic target for diabetic nephropathy by bioinformatics analysis ShuMei Tang, XiuFen Wang, TianCi Deng, HuiPeng Ge & XiangCheng Xiao* The pathogenesis of diabetic nephropathy is not completely understood, and the efects of existing treatments are not satisfactory. Various public platforms already contain extensive data for deeper bioinformatics analysis. From the GSE30529 dataset based on diabetic nephropathy tubular samples, we identifed 345 genes through diferential expression analysis and weighted gene coexpression correlation network analysis. GO annotations mainly included neutrophil activation, regulation of immune efector process, positive regulation of cytokine production and neutrophil-mediated immunity. KEGG pathways mostly included phagosome, complement and coagulation cascades, cell adhesion molecules and the AGE-RAGE signalling pathway in diabetic complications. Additional datasets were analysed to understand the mechanisms of diferential gene expression from an epigenetic perspective. Diferentially expressed miRNAs were obtained to construct a miRNA-mRNA network from the miRNA profles in the GSE57674 dataset. The miR-1237-3p/SH2B3, miR-1238-5p/ ZNF652 and miR-766-3p/TGFBI axes may be involved in diabetic nephropathy. The methylation levels of the 345 genes were also tested based on the gene methylation profles of the GSE121820 dataset. The top 20 hub genes in the PPI network were discerned using the CytoHubba tool. Correlation analysis with GFR showed that SYK, CXCL1, LYN, VWF, ANXA1, C3, HLA-E, RHOA, SERPING1, EGF and KNG1 may be involved in diabetic nephropathy. Eight small molecule compounds were identifed as potential therapeutic drugs using Connectivity Map. It is estimated that a total of 451 million people sufered from diabetes by 2017, and the number is speculated to be 693 million by 2045 1. -
Polycomb Complexes Associate with Enhancers and Promote Oncogenic Transcriptional Programs in Cancer Through Multiple Mechanisms
ARTICLE DOI: 10.1038/s41467-018-05728-x OPEN Polycomb complexes associate with enhancers and promote oncogenic transcriptional programs in cancer through multiple mechanisms Ho Lam Chan 1,2, Felipe Beckedorff 1,2, Yusheng Zhang1,2, Jenaro Garcia-Huidobro1,2,5, Hua Jiang3, Antonio Colaprico1,2, Daniel Bilbao1, Maria E. Figueroa1,2, John LaCava3,4, Ramin Shiekhattar1,2 & Lluis Morey 1,2 1234567890():,; Polycomb repressive complex 1 (PRC1) plays essential roles in cell fate decisions and development. However, its role in cancer is less well understood. Here, we show that RNF2, encoding RING1B, and canonical PRC1 (cPRC1) genes are overexpressed in breast cancer. We find that cPRC1 complexes functionally associate with ERα and its pioneer factor FOXA1 in ER+ breast cancer cells, and with BRD4 in triple-negative breast cancer cells (TNBC). While cPRC1 still exerts its repressive function, it is also recruited to oncogenic active enhancers. RING1B regulates enhancer activity and gene transcription not only by promoting the expression of oncogenes but also by regulating chromatin accessibility. Functionally, RING1B plays a divergent role in ER+ and TNBC metastasis. Finally, we show that concomitant recruitment of RING1B to active enhancers occurs across multiple cancers, highlighting an under-explored function of cPRC1 in regulating oncogenic transcriptional programs in cancer. 1 Sylvester Comprehensive Cancer Center, Biomedical Research Building, 1501 NW 10th Avenue, Miami, FL 33136, USA. 2 Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL 33136, USA. 3 Laboratory of Cellular and Structural Biology, The Rockefeller University, New York, NY 10065, USA. 4 Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA. -
12Q Deletions FTNW
12q deletions rarechromo.org What is a 12q deletion? A deletion from chromosome 12q is a rare genetic condition in which a part of one of the body’s 46 chromosomes is missing. When material is missing from a chromosome, it is called a deletion. What are chromosomes? Chromosomes are the structures in each of the body’s cells that carry genetic information telling the body how to develop and function. They come in pairs, one from each parent, and are numbered 1 to 22 approximately from largest to smallest. Additionally there is a pair of sex chromosomes, two named X in females, and one X and another named Y in males. Each chromosome has a short (p) arm and a long (q) arm. Looking at chromosome 12 Chromosome analysis You can’t see chromosomes with the naked eye, but if you stain and magnify them many hundreds of times under a microscope, you can see that each one has a distinctive pattern of light and dark bands. In the diagram of the long arm of chromosome 12 on page 3 you can see the bands are numbered outwards starting from the point at the top of the diagram where the short and long arms meet (the centromere). Molecular techniques If you magnify chromosome 12 about 850 times, a small piece may be visibly missing. But sometimes the missing piece is so tiny that the chromosome looks normal through a microscope. The missing section can then only be found using more sensitive molecular techniques such as FISH (fluorescence in situ hybridisation, a technique that reveals the chromosomes in fluorescent colour), MLPA (multiplex ligation-dependent probe amplification) and/or array-CGH (microarrays), a technique that shows gains and losses of tiny amounts of DNA throughout all the chromosomes. -
"The Genecards Suite: from Gene Data Mining to Disease Genome Sequence Analyses". In: Current Protocols in Bioinformat
The GeneCards Suite: From Gene Data UNIT 1.30 Mining to Disease Genome Sequence Analyses Gil Stelzer,1,5 Naomi Rosen,1,5 Inbar Plaschkes,1,2 Shahar Zimmerman,1 Michal Twik,1 Simon Fishilevich,1 Tsippi Iny Stein,1 Ron Nudel,1 Iris Lieder,2 Yaron Mazor,2 Sergey Kaplan,2 Dvir Dahary,2,4 David Warshawsky,3 Yaron Guan-Golan,3 Asher Kohn,3 Noa Rappaport,1 Marilyn Safran,1 and Doron Lancet1,6 1Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel 2LifeMap Sciences Ltd., Tel Aviv, Israel 3LifeMap Sciences Inc., Marshfield, Massachusetts 4Toldot Genetics Ltd., Hod Hasharon, Israel 5These authors contributed equally to the paper 6Corresponding author GeneCards, the human gene compendium, enables researchers to effectively navigate and inter-relate the wide universe of human genes, diseases, variants, proteins, cells, and biological pathways. Our recently launched Version 4 has a revamped infrastructure facilitating faster data updates, better-targeted data queries, and friendlier user experience. It also provides a stronger foundation for the GeneCards suite of companion databases and analysis tools. Improved data unification includes gene-disease links via MalaCards and merged biological pathways via PathCards, as well as drug information and proteome expression. VarElect, another suite member, is a phenotype prioritizer for next-generation sequencing, leveraging the GeneCards and MalaCards knowledgebase. It au- tomatically infers direct and indirect scored associations between hundreds or even thousands of variant-containing genes and disease phenotype terms. Var- Elect’s capabilities, either independently or within TGex, our comprehensive variant analysis pipeline, help prepare for the challenge of clinical projects that involve thousands of exome/genome NGS analyses. -
ADHD) Gene Networks in Children of Both African American and European American Ancestry
G C A T T A C G G C A T genes Article Rare Recurrent Variants in Noncoding Regions Impact Attention-Deficit Hyperactivity Disorder (ADHD) Gene Networks in Children of both African American and European American Ancestry Yichuan Liu 1 , Xiao Chang 1, Hui-Qi Qu 1 , Lifeng Tian 1 , Joseph Glessner 1, Jingchun Qu 1, Dong Li 1, Haijun Qiu 1, Patrick Sleiman 1,2 and Hakon Hakonarson 1,2,3,* 1 Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA; [email protected] (Y.L.); [email protected] (X.C.); [email protected] (H.-Q.Q.); [email protected] (L.T.); [email protected] (J.G.); [email protected] (J.Q.); [email protected] (D.L.); [email protected] (H.Q.); [email protected] (P.S.) 2 Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA 3 Department of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA * Correspondence: [email protected]; Tel.: +1-267-426-0088 Abstract: Attention-deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder with poorly understood molecular mechanisms that results in significant impairment in children. In this study, we sought to assess the role of rare recurrent variants in non-European populations and outside of coding regions. We generated whole genome sequence (WGS) data on 875 individuals, Citation: Liu, Y.; Chang, X.; Qu, including 205 ADHD cases and 670 non-ADHD controls. The cases included 116 African Americans H.-Q.; Tian, L.; Glessner, J.; Qu, J.; Li, (AA) and 89 European Americans (EA), and the controls included 408 AA and 262 EA. -
Ejhg2009157.Pdf
European Journal of Human Genetics (2010) 18, 342–347 & 2010 Macmillan Publishers Limited All rights reserved 1018-4813/10 $32.00 www.nature.com/ejhg ARTICLE Fine mapping and association studies of a high-density lipoprotein cholesterol linkage region on chromosome 16 in French-Canadian subjects Zari Dastani1,2,Pa¨ivi Pajukanta3, Michel Marcil1, Nicholas Rudzicz4, Isabelle Ruel1, Swneke D Bailey2, Jenny C Lee3, Mathieu Lemire5,9, Janet Faith5, Jill Platko6,10, John Rioux6,11, Thomas J Hudson2,5,7,9, Daniel Gaudet8, James C Engert*,2,7, Jacques Genest1,2,7 Low levels of high-density lipoprotein cholesterol (HDL-C) are an independent risk factor for cardiovascular disease. To identify novel genetic variants that contribute to HDL-C, we performed genome-wide scans and quantitative association studies in two study samples: a Quebec-wide study consisting of 11 multigenerational families and a study of 61 families from the Saguenay– Lac St-Jean (SLSJ) region of Quebec. The heritability of HDL-C in these study samples was 0.73 and 0.49, respectively. Variance components linkage methods identified a LOD score of 2.61 at 98 cM near the marker D16S515 in Quebec-wide families and an LOD score of 2.96 at 86 cM near the marker D16S2624 in SLSJ families. In the Quebec-wide sample, four families showed segregation over a 25.5-cM (18 Mb) region, which was further reduced to 6.6 Mb with additional markers. The coding regions of all genes within this region were sequenced. A missense variant in CHST6 segregated in four families and, with additional families, we observed a P value of 0.015 for this variant. -
BAP1 Constrains Pervasive H2ak119ub1 to Control the Transcriptional Potential of the Genome
Downloaded from genesdev.cshlp.org on October 2, 2021 - Published by Cold Spring Harbor Laboratory Press BAP1 constrains pervasive H2AK119ub1 to control the transcriptional potential of the genome Nadezda A. Fursova, Anne H. Turberfield, Neil P. Blackledge, Emma L. Findlater, Anna Lastuvkova, Miles K. Huseyin, Paula Dobrinic,́ and Robert J. Klose Department of Biochemistry, University of Oxford, Oxford OX1 3QU, United Kingdom Histone-modifying systems play fundamental roles in gene regulation and the development of multicellular organisms. Histone modifications that are enriched at gene regulatory elements have been heavily studied, but the function of modifications found more broadly throughout the genome remains poorly understood. This is exem- plified by histone H2A monoubiquitylation (H2AK119ub1), which is enriched at Polycomb-repressed gene pro- moters but also covers the genome at lower levels. Here, using inducible genetic perturbations and quantitative genomics, we found that the BAP1 deubiquitylase plays an essential role in constraining H2AK119ub1 throughout the genome. Removal of BAP1 leads to pervasive genome-wide accumulation of H2AK119ub1, which causes widespread reductions in gene expression. We show that elevated H2AK119ub1 preferentially counteracts Ser5 phosphorylation on the C-terminal domain of RNA polymerase II at gene regulatory elements and causes reductions in transcription and transcription-associated histone modifications. Furthermore, failure to constrain pervasive H2AK119ub1 compromises Polycomb complex occupancy at a subset of Polycomb target genes, which leads to their derepression, providing a potential molecular rationale for why the BAP1 ortholog in Drosophila has been charac- terized as a Polycomb group gene. Together, these observations reveal that the transcriptional potential of the genome can be modulated by regulating the levels of a pervasive histone modification. -
Interaction of the Chromatin Remodeling Protein Hino80 with DNA
Edinburgh Research Explorer Interaction of the chromatin remodeling protein hINO80 with DNA Citation for published version: Mendiratta, S, Bhatia, S, Jain, S, Kaur, T & Brahmachari, V 2016, 'Interaction of the chromatin remodeling protein hINO80 with DNA', PLoS ONE, vol. 11, no. 7, e0159370. https://doi.org/10.1371/journal.pone.0159370 Digital Object Identifier (DOI): 10.1371/journal.pone.0159370 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: PLoS ONE Publisher Rights Statement: Copyright: © 2016 Mendiratta et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 11. Oct. 2021 RESEARCH ARTICLE Interaction of the Chromatin Remodeling Protein hINO80 with DNA Shweta Mendiratta☯, Shipra Bhatia¤☯, Shruti Jain, Taniya Kaur, Vani Brahmachari* Dr. B. R. Ambedkar Center for Biomedical Research, University of Delhi, Delhi, India ☯ These authors contributed equally to this work. -
Differential Co-Expression Analysis of Obesity-Associated Networks in Human Subcutaneous Adipose Tissue
Europe PMC Funders Group Author Manuscript Int J Obes (Lond). Author manuscript; available in PMC 2012 July 01. Published in final edited form as: Int J Obes (Lond). 2012 January ; 36(1): 137–147. doi:10.1038/ijo.2011.22. Europe PMC Funders Author Manuscripts Differential co-expression analysis of obesity-associated networks in human subcutaneous adipose tissue A.J. Walley1,*, P. Jacobson2,*, M. Falchi1,*, L. Bottolo1,3, J.C. Andersson1,2, E. Petretto3,4, A. Bonnefond5, E. Vaillant5, C. Lecoeur5, V. Vatin5, M. Jernas2, D. Balding1,6, M. Petteni1, Y.S. Park1, T. Aitman4, S. Richardson3, L. Sjostrom2, L. M. S. Carlsson2,*, and P. Froguel1,5,*,† 1 Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, Du Cane Road, London, W12 0NN, UK 2 Department of Molecular and Clinical Medicine, The Sahlgrenska Academy, Gothenburg University, SE-413 07 Gothenburg, Sweden 3 Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Marys Hospital, 161 Norfolk Place, London, UK 4 MRC Clinical Sciences Centre, Division of Clinical Sciences, Imperial College London, Commonwealth Building, Hammersmith Hospital, Du Cane Road, London, W12 0NN, UK 5CNRS 8090-Institute of Biology, Pasteur Institute, Lille, France. 6Institute of Genetics, University College London, Kathleen Lonsdale Building, 5 Gower Place, London, WC1 E6B, UK Abstract Europe PMC Funders Author Manuscripts Objective—To use a unique obesity-discordant sib-pair study design to combine differential expression analysis, expression quantitative trait loci (eQTLs) mapping, and a co-expression regulatory network approach in subcutaneous human adipose tissue to identify genes relevant to the obese state.