Molecular and Clinical Delineation of the 17Q22 Microdeletion Phenotype
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Variation in Protein Coding Genes Identifies Information
bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Animal complexity and information flow 1 1 2 3 4 5 Variation in protein coding genes identifies information flow as a contributor to 6 animal complexity 7 8 Jack Dean, Daniela Lopes Cardoso and Colin Sharpe* 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Institute of Biological and Biomedical Sciences 25 School of Biological Science 26 University of Portsmouth, 27 Portsmouth, UK 28 PO16 7YH 29 30 * Author for correspondence 31 [email protected] 32 33 Orcid numbers: 34 DLC: 0000-0003-2683-1745 35 CS: 0000-0002-5022-0840 36 37 38 39 40 41 42 43 44 45 46 47 48 49 Abstract bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Animal complexity and information flow 2 1 Across the metazoans there is a trend towards greater organismal complexity. How 2 complexity is generated, however, is uncertain. Since C.elegans and humans have 3 approximately the same number of genes, the explanation will depend on how genes are 4 used, rather than their absolute number. -
A Rose Extract Protects the Skin Against Stress Mediators: a Potential Role of Olfactory Receptors
Supplementary data A Rose extract protects the skin against stress mediators: a potential role of olfactory receptors Romain Duroux 1,*, Anne Mandeau 1, Gaelle Guiraudie-Capraz 2, Yannick Quesnel 3 and Estelle Loing 4 1 IFF-Lucas Meyer Cosmetics, Toulouse, France 2 Aix-Marseille University, CNRS, INP, Marseille, France 3 ChemCom S.A., Brussels, Belgium 4 IFF-Lucas Meyer Cosmetics, Quebec, Canada * Correspondence: [email protected] Supplemental methods Keratinocytes cell culture and skin explants Skin organ cultures were prepared from tissues samples derived from volunteers undergoing routine therapeutic procedures, in collaboration with Alphenyx (Marseille). For this study, skin samples were derived from abdominal or breast tissues of healthy women (30-40 years old). Samples were received 1 day post-surgery and used directly for microdissection or cell extraction. Microdissected human skin was cultured at 37°C under 5% CO2, in DMEM (Dutscher, #L0060-500) plus 10% FBS (Sigma Aldrich, #F7524), 1% Penicillin/Streptomycin (Sigma Aldrich, #P0781-100), and 1% of minimum medium non-essential amino acids 10X (Gibco, #11140-035). For keratinocyte culture, cells were isolated from human skin epidermis. Briefly, skin samples were cut into small pieces and immersed in Thermolysin (Sigma Aldrich, #T7902-100mg) at 4°C overnight. Epidermis was then carefully detached from dermis before being incubated with Trypsin-EDTA for 15 minutes at 37°C. Trypsin inhibitor was next added, the mixture centrifuged and the supernatant discarded before adding KGM2 Medium (Promocell, #C- 20011) with 1% Penicillin/Streptomycin (Sigma Aldrich, #P0781-100). NHEK were then maintained in culture at 37 °C under 5 % CO2 and 95 % relative humidity. -
3D Interactions with the Growth Hormone Locus in Cellular Signalling and Cancer-Related Pathways
64 4 Journal of Molecular L Jain et al. 3D interactions with the GH locus 64:4 209–222 Endocrinology RESEARCH 3D interactions with the growth hormone locus in cellular signalling and cancer-related pathways Lekha Jain, Tayaza Fadason, William Schierding, Mark H Vickers, Justin M O’Sullivan and Jo K Perry Liggins Institute, University of Auckland, Auckland, New Zealand Correspondence should be addressed to J K Perry or J M O’Sullivan: [email protected] or [email protected] Abstract Growth hormone (GH) is a peptide hormone predominantly produced by the anterior Key Words pituitary and is essential for normal growth and metabolism. The GH locus contains f growth hormone locus five evolutionarily related genes under the control of an upstream locus control region f GH1 that coordinates tissue-specific expression of these genes. Compromised GH signalling f genome and genetic variation in these genes has been implicated in various disorders including f chromosome capture cancer. We hypothesised that regulatory regions within the GH locus coordinate f cancer expression of a gene network that extends the impact of the GH locus control region. We used the CoDeS3D algorithm to analyse 529 common single nucleotide polymorphisms (SNPs) across the GH locus. This algorithm identifies colocalised Hi-C and eQTL associations to determine which SNPs are associated with a change in gene expression at loci that physically interact within the nucleus. One hundred and eighty-one common SNPs were identified that interacted with 292 eGenes across 48 different tissues. One hundred and forty-five eGenes were regulated intrans . -
Misexpression of Cancer/Testis (Ct) Genes in Tumor Cells and the Potential Role of Dream Complex and the Retinoblastoma Protein Rb in Soma-To-Germline Transformation
Michigan Technological University Digital Commons @ Michigan Tech Dissertations, Master's Theses and Master's Reports 2019 MISEXPRESSION OF CANCER/TESTIS (CT) GENES IN TUMOR CELLS AND THE POTENTIAL ROLE OF DREAM COMPLEX AND THE RETINOBLASTOMA PROTEIN RB IN SOMA-TO-GERMLINE TRANSFORMATION SABHA M. ALHEWAT Michigan Technological University, [email protected] Copyright 2019 SABHA M. ALHEWAT Recommended Citation ALHEWAT, SABHA M., "MISEXPRESSION OF CANCER/TESTIS (CT) GENES IN TUMOR CELLS AND THE POTENTIAL ROLE OF DREAM COMPLEX AND THE RETINOBLASTOMA PROTEIN RB IN SOMA-TO- GERMLINE TRANSFORMATION", Open Access Master's Thesis, Michigan Technological University, 2019. https://doi.org/10.37099/mtu.dc.etdr/933 Follow this and additional works at: https://digitalcommons.mtu.edu/etdr Part of the Cancer Biology Commons, and the Cell Biology Commons MISEXPRESSION OF CANCER/TESTIS (CT) GENES IN TUMOR CELLS AND THE POTENTIAL ROLE OF DREAM COMPLEX AND THE RETINOBLASTOMA PROTEIN RB IN SOMA-TO-GERMLINE TRANSFORMATION By Sabha Salem Alhewati A THESIS Submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE In Biological Sciences MICHIGAN TECHNOLOGICAL UNIVERSITY 2019 © 2019 Sabha Alhewati This thesis has been approved in partial fulfillment of the requirements for the Degree of MASTER OF SCIENCE in Biological Sciences. Department of Biological Sciences Thesis Advisor: Paul Goetsch. Committee Member: Ebenezer Tumban. Committee Member: Zhiying Shan. Department Chair: Chandrashekhar Joshi. Table of Contents List of figures .......................................................................................................................v -
Reprogramming of Lysosomal Gene Expression by Interleukin-4 and Stat6 Brignull Et Al
Reprogramming of lysosomal gene expression by interleukin-4 and Stat6 Brignull et al. Brignull et al. BMC Genomics 2013, 14:853 http://www.biomedcentral.com/1471-2164/14/853 Brignull et al. BMC Genomics 2013, 14:853 http://www.biomedcentral.com/1471-2164/14/853 RESEARCH ARTICLE Open Access Reprogramming of lysosomal gene expression by interleukin-4 and Stat6 Louise M Brignull1†, Zsolt Czimmerer2†, Hafida Saidi1,3, Bence Daniel2, Izabel Villela4,5, Nathan W Bartlett6, Sebastian L Johnston6, Lisiane B Meira4, Laszlo Nagy2,7 and Axel Nohturfft1* Abstract Background: Lysosomes play important roles in multiple aspects of physiology, but the problem of how the transcription of lysosomal genes is coordinated remains incompletely understood. The goal of this study was to illuminate the physiological contexts in which lysosomal genes are coordinately regulated and to identify transcription factors involved in this control. Results: As transcription factors and their target genes are often co-regulated, we performed meta-analyses of array-based expression data to identify regulators whose mRNA profiles are highly correlated with those of a core set of lysosomal genes. Among the ~50 transcription factors that rank highest by this measure, 65% are involved in differentiation or development, and 22% have been implicated in interferon signaling. The most strongly correlated candidate was Stat6, a factor commonly activated by interleukin-4 (IL-4) or IL-13. Publicly available chromatin immunoprecipitation (ChIP) data from alternatively activated mouse macrophages show that lysosomal genes are overrepresented among Stat6-bound targets. Quantification of RNA from wild-type and Stat6-deficient cells indicates that Stat6 promotes the expression of over 100 lysosomal genes, including hydrolases, subunits of the vacuolar H+ ATPase and trafficking factors. -
Transparent Machine Learning for Multi-Omics Analysis of Mental Disorders
UPTEC X20 015 Examensarbete 30 hp Juni 2020 Transparent Machine Learning for Multi-Omics Analysis of Mental Disorders Stella Belin Abstract Transparent Machine Learning for Multi-Omics Analysis of Mental Disorders Stella Belin Teknisk- naturvetenskaplig fakultet UTH-enheten Schizophrenia and bipolar disorder are two severe mental disorders that affect more than 65 million individuals worldwide. The aim of this Besöksadress: project was to find co-prediction mechanisms for genes associated with Ångströmlaboratoriet Lägerhyddsvägen 1 schizophrenia and bipolar disorder using a multi-omics data set and a Hus 4, Plan 0 transparent machine learning approach. The overall purpose of the project was to further understand the biological mechanisms of these Postadress: complex disorders. In this work, publicly available multi-omics data Box 536 751 21 Uppsala collected from post-mortem brain tissue were used. The omics types included were gene expression, DNA methylation, and SNP array data. The Telefon: data consisted of samples from individuals with schizophrenia, bipolar 018 – 471 30 03 disorder, and healthy controls. Individuals with schizophrenia or Telefax: bipolar disorder were considered as a combined CASE class. 018 – 471 30 00 Using machine learning techniques, a multi-omics pipeline was developed Hemsida: to integrate these data in a manner such that all types were adequately http://www.teknat.uu.se/student represented. A feature selection was performed on methylation and SNP data, where the most important sites were estimated and mapped to their corresponding genes. Next, those genes were intersected with the gene expression data, and another feature selection was performed on the gene expression data. The most important genes were used to develop an interpretable rule-based model with an accuracy of 88%. -
Variation in Protein Coding Genes Identifies Information Flow
bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Animal complexity and information flow 1 1 2 3 4 5 Variation in protein coding genes identifies information flow as a contributor to 6 animal complexity 7 8 Jack Dean, Daniela Lopes Cardoso and Colin Sharpe* 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Institute of Biological and Biomedical Sciences 25 School of Biological Science 26 University of Portsmouth, 27 Portsmouth, UK 28 PO16 7YH 29 30 * Author for correspondence 31 [email protected] 32 33 Orcid numbers: 34 DLC: 0000-0003-2683-1745 35 CS: 0000-0002-5022-0840 36 37 38 39 40 41 42 43 44 45 46 47 48 49 Abstract bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Animal complexity and information flow 2 1 Across the metazoans there is a trend towards greater organismal complexity. How 2 complexity is generated, however, is uncertain. Since C.elegans and humans have 3 approximately the same number of genes, the explanation will depend on how genes are 4 used, rather than their absolute number. -
3D Interactions with the Growth Hormone Locus in Cellular Signalling and Cancer-Related Pathways
64 4 Journal of Molecular L Jain et al. 3D interactions with the GH locus 64:4 209–222 Endocrinology RESEARCH 3D interactions with the growth hormone locus in cellular signalling and cancer-related pathways Lekha Jain, Tayaza Fadason, William Schierding, Mark H Vickers, Justin M O’Sullivan and Jo K Perry Liggins Institute, University of Auckland, Auckland, New Zealand Correspondence should be addressed to J K Perry or J M O’Sullivan: [email protected] or [email protected] Abstract Growth hormone (GH) is a peptide hormone predominantly produced by the anterior Key Words pituitary and is essential for normal growth and metabolism. The GH locus contains f growth hormone locus five evolutionarily related genes under the control of an upstream locus control region f GH1 that coordinates tissue-specific expression of these genes. Compromised GH signalling f genome and genetic variation in these genes has been implicated in various disorders including f chromosome capture cancer. We hypothesised that regulatory regions within the GH locus coordinate f cancer expression of a gene network that extends the impact of the GH locus control region. We used the CoDeS3D algorithm to analyse 529 common single nucleotide polymorphisms (SNPs) across the GH locus. This algorithm identifies colocalised Hi-C and eQTL associations to determine which SNPs are associated with a change in gene expression at loci that physically interact within the nucleus. One hundred and eighty-one common SNPs were identified that interacted with 292 eGenes across 48 different tissues. One hundred and forty-five eGenes were regulated intrans . -
OR4D1 (NM 012374) Human Tagged ORF Clone – RC217627
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC217627 OR4D1 (NM_012374) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: OR4D1 (NM_012374) Human Tagged ORF Clone Tag: Myc-DDK Symbol: OR4D1 Synonyms: OR4D3; OR4D4P; OR17-23; TPCR16 Vector: pCMV6-Entry (PS100001) E. coli Selection: Kanamycin (25 ug/mL) Cell Selection: Neomycin ORF Nucleotide >RC217627 representing NM_012374 Sequence: Red=Cloning site Blue=ORF Green=Tags(s) TTTTGTAATACGACTCACTATAGGGCGGCCGGGAATTCGTCGACTGGATCCGGTACCGAGGAGATCTGCC GCCGCGATCGCC ATGGAACCACAGAACACCACACAGGTATCAATGTTTGTCCTCTTAGGGTTTTCACAGACCCAAGAGCTCC AGAAATTCCTGTTCCTTCTGTTCCTGTTAGTCTATGTTACCACCATTGTGGGAAACCTCCTTATCATGGT CACAGTGACTTTTGACTGCCGGCTCCACACACCCATGTATTTTCTGCTCCGAAATCTAGCTCTCATAGAC CTCTGCTATTCCACAGTCACCTCTCCAAAGATGCTGGTGGACTTCCTCCATGAGACCAAGACGATCTCCT ACCAGGGCTGCATGGCCCAGATCTTCTTCTTCCACCTTTTGGGAGGTGGGACTGTCTTTTTTCTCTCAGT CATGGCCTATGACCGCTACATAGCCATCTCCCAGCCCCTCCGGTATGTCACCATCATGAACACTCAATTG TGTGTGGGCCTGGTAGTAGCCGCCTGGGTGGGGGGCTTTGTCCACTCCATTGTCCAACTGGCTCTGATAC TTCCACTGCCCTTCTGTGGCCCCAATATCCTAGATAACTTCTACTGTGATGTTCCCCAAGTACTGAGACT TGCCTGCACTGATACCTCCCTCCTGGAGTTCCTCATGATCTCCAACAGTGGGCTGCTAGTTATCATCTGG TTCCTCCTCCTTCTGATCTCTTATACTGTCATCCTGGTGATGCTGAGGTCCCACTCGGGAAAGGCAAGGA GGAAGGCAGCTTCCACCTGCACCACCCACATCATCGTGGTGTCCATGATCTTCATTCCCTGTATCTATAT CTATACCTGGCCCTTCACCCCATTCCTCATGGACAAGGCTGTGTCCATCAGCTACACAGTCATGACCCCC ATGCTCAACCCCATGATCTACACCCTGAGAAACCAGGACATGAAAGCAGCCATGAGGAGATTAGGCAAGT -
The Hypothalamus As a Hub for SARS-Cov-2 Brain Infection and Pathogenesis
bioRxiv preprint doi: https://doi.org/10.1101/2020.06.08.139329; this version posted June 19, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. The hypothalamus as a hub for SARS-CoV-2 brain infection and pathogenesis Sreekala Nampoothiri1,2#, Florent Sauve1,2#, Gaëtan Ternier1,2ƒ, Daniela Fernandois1,2 ƒ, Caio Coelho1,2, Monica ImBernon1,2, Eleonora Deligia1,2, Romain PerBet1, Vincent Florent1,2,3, Marc Baroncini1,2, Florence Pasquier1,4, François Trottein5, Claude-Alain Maurage1,2, Virginie Mattot1,2‡, Paolo GiacoBini1,2‡, S. Rasika1,2‡*, Vincent Prevot1,2‡* 1 Univ. Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, DistAlz, UMR-S 1172, Lille, France 2 LaBoratorY of Development and PlasticitY of the Neuroendocrine Brain, FHU 1000 daYs for health, EGID, School of Medicine, Lille, France 3 Nutrition, Arras General Hospital, Arras, France 4 Centre mémoire ressources et recherche, CHU Lille, LiCEND, Lille, France 5 Univ. Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 8204 - CIIL - Center for Infection and ImmunitY of Lille (CIIL), Lille, France. # and ƒ These authors contriButed equallY to this work. ‡ These authors directed this work *Correspondence to: [email protected] and [email protected] Short title: Covid-19: the hypothalamic hypothesis 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.06.08.139329; this version posted June 19, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
SUPPORTING INFORMATION for Regulation of Gene Expression By
SUPPORTING INFORMATION for Regulation of gene expression by the BLM helicase correlates with the presence of G4 motifs Giang Huong Nguyen1,2, Weiliang Tang3, Ana I. Robles1, Richard P. Beyer4, Lucas T. Gray5, Judith A. Welsh1, Aaron J. Schetter1, Kensuke Kumamoto1,6, Xin Wei Wang1, Ian D. Hickson2,7, Nancy Maizels5, 3,8 1 Raymond J. Monnat, Jr. and Curtis C. Harris 1Laboratory of Human Carcinogenesis, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, U.S.A; 2Department of Medical Oncology, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, U.K.; 3Department of Pathology, University of Washington, Seattle, WA U.S.A.; 4 Center for Ecogenetics and Environmental Health, University of Washington, Seattle, WA U.S.A.; 5Department of Immunology and Department of Biochemistry, University of Washington, Seattle, WA U.S.A.; 6Department of Organ Regulatory Surgery, Fukushima Medical University, Fukushima, Japan; 7Cellular and Molecular Medicine, Nordea Center for Healthy Aging, University of Copenhagen, Denmark; 8Department of Genome Sciences, University of WA, Seattle, WA U.S.A. SI Index: Supporting Information for this manuscript includes the following 19 items. A more detailed Materials and Methods section is followed by 18 Tables and Figures in order of their appearance in the manuscript text: 1) SI Materials and Methods 2) Figure S1. Study design and experimental workflow. 3) Figure S2. Immunoblot verification of BLM depletion from human fibroblasts. 4) Figure S3. PCA of mRNA and miRNA expression in BLM-depleted human fibroblasts. 5) Figure S4. qPCR confirmation of mRNA array data. 6) Table S1. BS patient and control detail. -
TFEB Links MYC Signaling to Epigenetic Control of Myeloid Differentiation and Acute Myeloid Leukemia
RESEARCH ARTICLE TFEB Links MYC Signaling to Epigenetic Control of Myeloid Differentiation and Acute Myeloid Leukemia Seongseok Yun1, Nicole D. Vincelette1, Xiaoqing Yu2, Gregory W. Watson1, Mario R. Fernandez3, Chunying Yang3, Taro Hitosugi4, Chia-Ho Cheng2, Audrey R. Freischel3, Ling Zhang5, Weimin Li3, Hsinan Hou6, Franz X. Schaub3, Alexis R. Vedder1, Ling Cen2, Kathy L. McGraw1, Jungwon Moon1, Daniel J. Murphy7, Andrea Ballabio8,9,10,11,12, Scott H. Kaufmann4, Anders E. Berglund2, and John L. Cleveland3 Downloaded from https://bloodcancerdiscov.aacrjournals.org by guest on September 23, 2021. Copyright 2020 American Copyright 2021 by AssociationAmerican for Association Cancer Research. for Cancer Research. ABSTRACT MYC oncoproteins regulate transcription of genes directing cell proliferation, metabolism, and tumorigenesis. A variety of alterations drive MYC expression in acute myeloid leukemia (AML), and enforced MYC expression in hematopoietic progenitors is sufficient to induce AML. Here we report that AML and myeloid progenitor cell growth and survival rely on MYC- directed suppression of Transcription Factor EB (TFEB), a master regulator of the autophagy–lysosome pathway. Notably, although originally identified as an oncogene, TFEB functions as a tumor suppressor in AML, where it provokes AML cell differentiation and death. These responses reflect TFEB control of myeloid epigenetic programs by inducing expression of isocitrate dehydrogenase-1 (IDH1) and IDH2, resulting in global hydroxylation of 5-methycytosine. Finally, activating the TFEB–IDH1/IDH2–TET2 axis is revealed as a targetable vulnerability in AML. Thus, epigenetic control by an MYC–TFEB circuit dictates myeloid cell fate and is essential for maintenance of AML. SIGNIFIcaNCE: Alterations in epigenetic control are a hallmark of AML.