Gene Expression Profiling of Homologous Recombination Repair
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CpG island structure and trithorax/ polycomb chromatin domains in human cells The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Orlando, David A., Matthew G. Guenther, Garrett M. Frampton, and Richard A. Young. “CpG Island Structure and Trithorax/ polycomb Chromatin Domains in Human Cells.” Genomics 100, no. 5 (November 2012): 320–326. As Published http://dx.doi.org/10.1016/j.ygeno.2012.07.006 Publisher Elsevier Version Final published version Citable link http://hdl.handle.net/1721.1/101286 Terms of Use Creative Commons Attribution-Noncommercial-NoDerivatives Detailed Terms http://creativecommons.org/licenses/by-nc-nd/4.0/ NIH Public Access Author Manuscript Genomics. Author manuscript; available in PMC 2013 November 01. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Genomics. 2012 November ; 100(5): 320–326. doi:10.1016/j.ygeno.2012.07.006. CpG Island Structure and Trithorax/Polycomb Chromatin Domains in Human Cells David A. Orlando1,*, Matthew G. Guenther1,*, Garrett M. Frampton1,2,*, and Richard A. Young1,2,† 1Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, Massachusetts 02142, USA 2Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA Abstract TrxG and PcG complexes play key roles in the epigenetic regulation of development through H3K4me3 and H3K27me3 modification at specific sites throughout the human genome, but how these sites are selected is poorly understood. We find that in pluripotent cells, clustered CpG- islands at genes predict occupancy of H3K4me3 and H3K27me3, and these “bivalent” chromatin domains precisely span the boundaries of CpG-island clusters. -
2Q13 Microdeletions
2q13 microdeletions rarechromo.org 2q13 microdeletions A 2q13 microdeletion is a rare genetic condition caused by a small piece of missing genetic material from one of the body’s chromosomes - chromosome 2. Deletions can vary in size but those that are too small to be visible under the microscope using standard techniques are called microdeletions. For typical and healthy development, chromosomes should contain the expected amount of genetic material. Like most other chromosome disorders, having a missing piece of chromosome 2 may affect the development and intellectual abilities of a child. The outcome of having a 2q13 microdeletion is very variable and depends on a number of factors including what and how much genetic material is missing. Background on chromosomes Our bodies are made up of different types of cells, almost all of which contain the same chromosomes. Each chromosome consists of DNA that carries the code for hundreds to thousands of genes. Genes can be thought of as individual instruction booklets (or recipes) that contain all the genetic information that tells the body how to develop, grow and function. Chromosomes (and hence genes) usually come in pairs with one member of each chromosome pair being inherited from each parent. Most cells of the human body have a total of 46 (23 pairs of) chromosomes. The egg and the sperm cells, however, have 23 unpaired chromosomes, so that when the egg and sperm join together at conception, the chromosomes pair up to make a total of 46. Of these 46 chromosomes, 44 are grouped in 22 pairs, numbered 1 to 22. -
2Q13 Microduplications
2q13 microduplications rarechromo.org 2q13 microduplications A 2q13 microduplication is a rare genetic condition caused by a small piece of extra genetic material from one of the body’s chromosomes - chromosome 2. Duplications can vary in size but those that are too small to be visible under the microscope using standard techniques are called microduplications. For typical and healthy development, chromosomes should contain the expected amount of genetic material. Like most other chromosome disorders, having an extra piece of chromosome 2 may affect the development and intellectual abilities of a child. The outcome of having a 2q13 microduplication is very variable and depends on a number of factors including what and how much genetic material is duplicated. Background on chromosomes Our bodies are made up of different types of cells, almost all of which contain the same chromosomes. Each chromosome consists of DNA that carries the code for hundreds to thousands of genes. Genes can be thought of as individual instruction booklets (or recipes) that contain all the genetic information that tells the body how to develop, grow and function. Chromosomes (and hence genes) usually come in pairs with one member of each chromosome pair being inherited from each parent. Most cells of the human body have a total of 46 (23 pairs of) chromosomes. The egg and the sperm cells, however, have 23 unpaired chromosomes, so that when the egg and sperm join together at conception, the chromosomes pair up to make 46 in total. Of these 46 chromosomes, 44 are grouped in 22 pairs, numbered 1 to 22. -
POLR1B and Neural Crest Cell Anomalies in Treacher Collins Syndrome Type 4
ARTICLE POLR1B and neural crest cell anomalies in Treacher Collins syndrome type 4 Elodie Sanchez, MLT1,2, Béryl Laplace-Builhé, PhD2, Frédéric Tran Mau-Them, MD1,2,3,4, Eric Richard, PhD5, Alice Goldenberg, MD6, Tomi L. Toler, MS7, Thomas Guignard, PhD8, Vincent Gatinois, PharmD, PhD8, Marie Vincent, MD9, Catherine Blanchet, MD10, Anne Boland, PhD11, Marie Thérèse Bihoreau, MLT11, Jean-Francois Deleuze, PhD11, Robert Olaso, PhD11, Walton Nephi, MD7, Hermann-Josef Lüdecke, MD12, Joke B. G. M. Verheij, MD13, Florence Moreau-Lenoir, MD, PhD14, Françoise Denoyelle, MD, PhD15, Jean-Baptiste Rivière, PhD16, Jean-Louis Laplanche, PharmD, PhD17, Marcia Willing, MD7, Guillaume Captier, MD, PhD18, Florence Apparailly, PhD 2, Dagmar Wieczorek, MD, PhD12, Corinne Collet, PharmD, PhD17, Farida Djouad, PhD2 and David Geneviève, MD, PhD1,2 Purpose: Treacher Collins syndrome (TCS) is a rare autosomal gene expression, massive p53-associated cellular apoptosis in the dominant mandibulofacial dysostosis, with a prevalence of 0.2–1/ neuroepithelium, and reduced number of NCC derivatives. 10,000. Features include bilateral and symmetrical malar and Conclusion: Pathogenic variants in the RNA polymerase I subunit mandibular hypoplasia and facial abnormalities due to abnormal POLR1B might induce massive p53-dependent apoptosis in a neural crest cell (NCC) migration and differentiation. To date, three restricted neuroepithelium area, altering NCC migration and causing genes have been identified: TCOF1, POLR1C, and POLR1D. Despite cranioskeletal malformations. We identify POLR1B as a new causative a large number of patients with a molecular diagnosis, some remain gene responsible for a novel TCS syndrome (TCS4) and establish a without a known genetic anomaly. novel experimental model in zebrafish to study POLR1B-related TCS. -
Content Based Search in Gene Expression Databases and a Meta-Analysis of Host Responses to Infection
Content Based Search in Gene Expression Databases and a Meta-analysis of Host Responses to Infection A Thesis Submitted to the Faculty of Drexel University by Francis X. Bell in partial fulfillment of the requirements for the degree of Doctor of Philosophy November 2015 c Copyright 2015 Francis X. Bell. All Rights Reserved. ii Acknowledgments I would like to acknowledge and thank my advisor, Dr. Ahmet Sacan. Without his advice, support, and patience I would not have been able to accomplish all that I have. I would also like to thank my committee members and the Biomed Faculty that have guided me. I would like to give a special thanks for the members of the bioinformatics lab, in particular the members of the Sacan lab: Rehman Qureshi, Daisy Heng Yang, April Chunyu Zhao, and Yiqian Zhou. Thank you for creating a pleasant and friendly environment in the lab. I give the members of my family my sincerest gratitude for all that they have done for me. I cannot begin to repay my parents for their sacrifices. I am eternally grateful for everything they have done. The support of my sisters and their encouragement gave me the strength to persevere to the end. iii Table of Contents LIST OF TABLES.......................................................................... vii LIST OF FIGURES ........................................................................ xiv ABSTRACT ................................................................................ xvii 1. A BRIEF INTRODUCTION TO GENE EXPRESSION............................. 1 1.1 Central Dogma of Molecular Biology........................................... 1 1.1.1 Basic Transfers .......................................................... 1 1.1.2 Uncommon Transfers ................................................... 3 1.2 Gene Expression ................................................................. 4 1.2.1 Estimating Gene Expression ............................................ 4 1.2.2 DNA Microarrays ...................................................... -
Generative Modeling of Multi-Mapping Reads with Mhi-C
Manuscript submitted to eLife 1 Generative Modeling of 2 Multi-mapping Reads with mHi-C 3 Advances Analysis of Hi-C Studies 1 2,3 1,4* 4 Ye Zheng , Ferhat Ay , Sündüz Keleş *For correspondence: [email protected] (SK) 1 2 5 Department of Statistics, University of Wisconsin-Madison, Madison, WI 53706, USA; La 3 6 Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA; School of Medicine, 4 7 University of California San Diego, La Jolla, CA 92093, USA; Department of Biostatistics 8 and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53706, USA 9 10 Abstract Current Hi-C analysis approaches are unable to account for reads that align to multiple 11 locations, and hence underestimate biological signal from repetitive regions of genomes. We 12 developed and validated mHi-C,amulti-read mapping strategy to probabilistically allocate Hi-C 13 multi-reads. mHi-C exhibited superior performance over utilizing only uni-reads and heuristic 14 approaches aimed at rescuing multi-reads on benchmarks. Specifically, mHi-C increased the 15 sequencing depth by an average of 20% resulting in higher reproducibility of contact matrices and 16 detected interactions across biological replicates. The impact of the multi-reads on the detection of 17 significant interactions is influenced marginally by the relative contribution of multi-reads to the 18 sequencing depth compared to uni-reads, cis-to-trans ratio of contacts, and the broad data quality 19 as reflected by the proportion of mappable reads of datasets. Computational experiments 20 highlighted that in Hi-C studies with short read lengths, mHi-C rescued multi-reads can emulate the 21 effect of longer reads. -
Nucleic Acids Research, 2009, Vol
Published online 2 June 2009 Nucleic Acids Research, 2009, Vol. 37, No. 14 4587–4602 doi:10.1093/nar/gkp425 An integrative genomics approach identifies Hypoxia Inducible Factor-1 (HIF-1)-target genes that form the core response to hypoxia Yair Benita1, Hirotoshi Kikuchi2, Andrew D. Smith3, Michael Q. Zhang3, Daniel C. Chung2 and Ramnik J. Xavier1,2,* 1Center for Computational and Integrative Biology, 2Gastrointestinal Unit, Center for the Study of Inflammatory Bowel Disease, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114 and 3Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA Received April 20, 2009; Revised May 6, 2009; Accepted May 8, 2009 ABSTRACT the pivotal mediators of the cellular response to hypoxia is hypoxia-inducible factor (HIF), a transcription factor The transcription factor Hypoxia-inducible factor 1 that contains a basic helix-loop-helix motif as well as (HIF-1) plays a central role in the transcriptional PAS domain. There are three known members of the response to oxygen flux. To gain insight into HIF family (HIF-1, HIF-2 and HIF-3) and all are a/b the molecular pathways regulated by HIF-1, it is heterodimeric proteins. HIF-1 was the first factor to be essential to identify the downstream-target genes. cloned and is the best understood isoform (1). HIF-3 is We report here a strategy to identify HIF-1-target a distant relative of HIF-1 and little is currently known genes based on an integrative genomic approach about its function and involvement in oxygen homeosta- combining computational strategies and experi- sis. -
And Post-Symptomatic Frontotemporal Dementia-Like Mice with TDP-43
Wu et al. Acta Neuropathologica Communications (2019) 7:50 https://doi.org/10.1186/s40478-019-0674-x RESEARCH Open Access Transcriptomopathies of pre- and post- symptomatic frontotemporal dementia-like mice with TDP-43 depletion in forebrain neurons Lien-Szu Wu1†, Wei-Cheng Cheng1†, Chia-Ying Chen2, Ming-Che Wu1, Yi-Chi Wang3, Yu-Hsiang Tseng2, Trees-Juen Chuang2* and C.-K. James Shen1* Abstract TAR DNA-binding protein (TDP-43) is a ubiquitously expressed nuclear protein, which participates in a number of cellular processes and has been identified as the major pathological factor in amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD). Here we constructed a conditional TDP-43 mouse with depletion of TDP-43 in the mouse forebrain and find that the mice exhibit a whole spectrum of age-dependent frontotemporal dementia-like behaviour abnormalities including perturbation of social behaviour, development of dementia-like behaviour, changes of activities of daily living, and memory loss at a later stage of life. These variations are accompanied with inflammation, neurodegeneration, and abnormal synaptic plasticity of the mouse CA1 neurons. Importantly, analysis of the cortical RNA transcripts of the conditional knockout mice at the pre−/post-symptomatic stages and the corresponding wild type mice reveals age-dependent alterations in the expression levels and RNA processing patterns of a set of genes closely associated with inflammation, social behaviour, synaptic plasticity, and neuron survival. This study not only supports the scenario that loss-of-function of TDP-43 in mice may recapitulate key behaviour features of the FTLD diseases, but also provides a list of TDP-43 target genes/transcript isoforms useful for future therapeutic research. -
From Sequence to Phenotype: the Impact of Deleterious Variation in Livestock
From Sequence to Phenotype: From Sequence to Phenotype: The Impact of Deleterious Variation in Livestock Martijn F.L. Derks The Impact of Deleterious Variation in Livestock From sequence to phenotype: the impact of deleterious variation in livestock Martijn F.L. Derks Thesis committee Promotor Prof. Dr M.A.M. Groenen Professor of Animal Breeding and Genomics Wageningen University & Research Co-promotor Dr H.-J.W.C. Megens Assistant professor, Animal Breeding and Genomics Wageningen University & Research Other members Dr C. Charlier, University of Liège, Belgium Dr P. Knap, Genus-PIC, Rabenkirchen-Fauluck, Germany Prof. Dr B.J. Zwaan, Wageningen University & Research, Netherlands Prof. Dr Cord Drögemüller, University of Bern, Switzerland This research was conducted under the auspices of the Graduate School of Wageningen Institute of Animal Sciences (WIAS). From sequence to phenotype: the impact of deleterious variation in livestock Martijn F.L. Derks Thesis submitted in fulfillment of the requirements for the degree of doctor at Wageningen University by the authority of the Rector Magnificus, Prof. Dr A.P.J. Mol, in the presence of the Thesis Committee appointed by the Academic Board to be defended in public on Wednesday 2 September, 2020 at 4. p.m. in the Aula. Martijn F.L. Derks From sequence to phenotype: the impact of deleterious variation in livestock PhD thesis, Wageningen University, the Netherlands (2020) With references, with summary in English ISBN 978-94-6395-320-7 DOI: https://doi.org/10.18174/515207 Abstract Derks, MFL. (2020). From sequence to phenotype: the impact of deleterious variation in livestock. PhD thesis, Wageningen University, the Netherlands The genome provides a blueprint of life containing the instruction, together with the environment, that determine the phenotype. -
Biochemical Reduction of the Topology of the Diverse WDR76 Protein Interactome
bioRxiv preprint doi: https://doi.org/10.1101/650028; this version posted May 24, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Biochemical Reduction of the Topology of the Diverse WDR76 Protein Interactome Gerald Dayebgadoh1, Mihaela E. Sardiu1, Laurence Florens1, and Michael P. Washburn1,2* 1Stowers Institute for Medical Research, Kansas City, MO 64110 U.S.A. 2Department of Pathology and Laboratory Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, Kansas 66160, USA * To whom correspondence should be addressed: Michael Washburn, Ph.D. Stowers Institute for Medical Research 1000 E. 50th St. Kansas City, MO 64110 Phone: 816-926-4457 E-mail: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/650028; this version posted May 24, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract A hub protein in protein interaction networks will typically have a large number of diverse interactions. Determining the core interactions and the function of such a hub protein remains a significant challenge in the study of networks. Proteins with WD40 repeats represent a large class of proteins that can be hub proteins. WDR76 is a poorly characterized WD40 repeat protein with possible involvement in DNA damage repair, cell cycle progression, apoptosis, gene expression regulation, and protein quality control. WDR76 has a large and diverse interaction network that has made its study challenging. -
Multivariate Analysis Identifies Eight Novel Loci Associated with Meat
G C A T T A C G G C A T genes Article Multivariate Analysis Identifies Eight Novel Loci Associated with Meat Productivity Traits in Sheep Alexander S. Zlobin 1, Pavel S. Nikulin 2, Natalia A. Volkova 3 , Natalia A. Zinovieva 3 , Baylar S. Iolchiev 3 , Vugar A. Bagirov 3, Pavel M. Borodin 2,3,4 , Tatiana I. Aksenovich 2,3,4 and Yakov A. Tsepilov 2,3,4,* 1 Kurchatov Genomics Center of IC&G, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia; [email protected] 2 Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia; [email protected] (P.S.N.); [email protected] (P.M.B.); [email protected] (T.I.A.) 3 L.K. Ernst Federal Research Center for Animal Husbandry, Dubrovitsy, 142132 Moscow Region, Russia; [email protected] (N.A.V.); [email protected] (N.A.Z.); [email protected] (B.S.I.); [email protected] (V.A.B.) 4 Department of Natural Science, Novosibirsk State University, 630090 Novosibirsk, Russia * Correspondence: [email protected]; Tel.: +7-(383)-363-4980 Abstract: Despite their economic value, sheep remain relatively poorly studied animals in terms of the number of known loci and genes associated with commercially important traits. This gap in our knowledge can be filled in by performing new genome-wide association studies (GWAS) or by re-analyzing previously documented data using novel powerful statistical methods. This study is focused on the search for new loci associated with meat productivity and carcass traits in sheep. -
Aminopeptidase Expression in Multiple Myeloma Associates with Disease Progression and Sensitivity to Melflufen
Supplementary Materials Aminopeptidase Expression in Multiple Myeloma Associates with Disease Progression and Sensitivity to Melflufen Juho J. Miettinen, Romika Kumari, Gunnhildur Asta Traustadottir, Maiju-Emilia Huppunen, Philipp Sergeev, Muntasir M. Majumder, Alexander SChepsky, Thorarinn Gudjonsson, Juha Lievonen, Despina Bazou, Paul Dowling, Peter O`Gorman, Ana SlipiCeviC, Pekka Anttila, Raija Silvennoinen, Nina N. Nupponen, Fredrik Lehmann, and Caroline A. HeCkman TABLE OF CONTENTS Supplementary figures Figure S1. Drug plate layout and drug concentrations used in the flow cytometry-based drug sensitivity testing. Figure S2. Flow cytometry gating strategy used in drug sensitivity testing. Figure S3. Aminopeptidase gene family genes showed similar expression in both the CoMMpass and FIMM datasets. Figure S4. Correlation of aminopeptidase genes LAP3, ERAP2, METAP2, TPP2, DPP7, ERAP1, LTA4H, LNPEP (Group I) expression with myeloma patient cytogenetics and age in the FIMM dataset. Figure S5. Aminopeptidase gene expression positively correlates with aminopeptidase protein expression, especially for LAP3, BLMH, DPP3, DPP7, RNPEP, and ERAP2 aminopeptidases. Figure S6. CoMMpass dataset confirms that aminopeptidase genes are differentially expressed in NDMM vs. RRMM. Figure S7. Correlation of aminopeptidase genes differentially expressed between RRMM and NDMM with myeloma patient cytogenetics and ISS stage in the FIMM dataset. Figure S8. Prognostic significance of three aminopeptidase genes XPNPEP1, RNPEP, and DPP3 expression in NDMM and RRMM samples separately in the FIMM dataset. Figure S9. Prognostic significance of aminopeptidase gene expression in the CoMMpass dataset. Figure S10. Somatic mutation predictions for aminopeptidase genes in the FIMM dataset samples (n = 169). Figure S11. Somatic mutation predictions for aminopeptidase genes in CoMMpass dataset (n = 1164). Figure S12. Aminopeptidase gene CNVs in FIMM dataset MM samples (n = 169).