De Novo T(12;17)(P13.3;Q21.3) Translocation with a Breakpoint Near
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A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Large Scale Organization of Chromatin
LARGE SCALE ORGANIZATION OF CHROMATIN MARIO Nicodemi Dip.to di Fisica, Uni.NA “Federico II”, INFN In the cell nucleus chromosomes have a complex architecture serving vital functional purposes. Problem: how is their 3D structure orchestrated? Our contribution: a model of the molecular mechanisms of their self- organization by use of classical polymer physics. (Mirò, Chiffres & Constellations 1941) Research collaborators MRC, Imperial College, London Ana Pombo,, Mita Chotalia, Ines de Santiago, Liron-Mark Lavitas, Sheila Xie, Kedar Natarajan, Carmelo Ferrai, Robert Beagrie, ... Biology, McGill, CA Josée Dostie, James Fraser Physics, Univ. di Napoli, Italy Mariano Barbieri, Ilaria Cataudella, Antonio Scialdone, Melania Barile, Paolo Casale, Valentino Bianco, Emanuela de Falco, Deborah Pallotti, Gaetano Pellegrino, Andrea Piccolo, ... Chromatin organization (I) (A) Linear expression units in compact genomes v.s. spatially assembled units in complex genomes. (B) Colocalization of coregulated genes. (C) ChromatinGene localization organizationat transcription factories (TFs). Example: the Xicʼs of the X Chromosome territories and map chrom.s colocalize at XCI (Heard et al.; Lee et al. ʻ07) Chromatin organizationNuclear scale (I) (A) Linear expression units in compact genomes v.s. spatially assembled units in complex genomes. (B) Colocalization of coregulated genes. (C) Gene localization at transcription factories (TFs). Colocalization of coregulated genes at transcription factories Example: the Xicʼs of the X Transcription chrom.s colocalize at XCI Factory (Heard et al.; Lee et al. ʻ07) (Pictures: Dekker et al. Science ʻ08) Distal regulatory elements Gene Gene Expression Units Assembly of expression units Gene scale (Pictures: Bolzer et al. PLoS Bio. ʼ05; Dekker et al. Science ʼ08) (Pictures: Dekker et al. -
Systems Consequences of Amplicon Formation in Human Breast Cancer
Downloaded from genome.cshlp.org on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press Research Systems consequences of amplicon formation in human breast cancer Koichiro Inaki,1,2,9 Francesca Menghi,1,2,9 Xing Yi Woo,1,9 Joel P. Wagner,1,2,3 4,5 1 2 Pierre-Etienne Jacques, Yi Fang Lee, Phung Trang Shreckengast, Wendy WeiJia Soon,1 Ankit Malhotra,2 Audrey S.M. Teo,1 Axel M. Hillmer,1 Alexis Jiaying Khng,1 Xiaoan Ruan,6 Swee Hoe Ong,4 Denis Bertrand,4 Niranjan Nagarajan,4 R. Krishna Murthy Karuturi,4,7 Alfredo Hidalgo Miranda,8 andEdisonT.Liu1,2,7 1Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, Genome, Singapore 138672, Singapore; 2The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06030, USA; 3Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA; 4Computational and Systems Biology, Genome Institute of Singapore, Genome, Singapore 138672, Singapore; 5Universite de Sherbrooke, Sherbrooke, Quebec, J1K 2R1, Canada; 6Genome Technology and Biology, Genome Institute of Singapore, Genome, Singapore 138672, Singapore; 7The Jackson Laboratory, Bar Harbor, Maine 04609, USA; 8National Institute of Genomic Medicine, Periferico Sur 4124, Mexico City 01900, Mexico Chromosomal structural variations play an important role in determining the transcriptional landscape of human breast cancers. To assess the nature of these structural variations, we analyzed eight breast tumor samples with a focus on regions of gene amplification using mate-pair sequencing of long-insert genomic DNA with matched transcriptome profiling. We found that tandem duplications appear to be early events in tumor evolution, especially in the genesis of amplicons. -
Structure-To-Function Computational Prediction of a Subset of Ribosomal Proteins for the Small Ribosome Subunit
International Journal of Bioscience, Biochemistry and Bioinformatics Structure-to-Function Computational Prediction of a Subset of Ribosomal Proteins for the Small Ribosome Subunit Edmund Ui-Hang Sim*, Chin-Ming Er Department of Molecular Biology, Faculty of Resource Science and Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia. * Corresponding author. Tel.: +60-82-583041; email: [email protected] Manuscript submitted July 18, 2014; accepted January 28, 2015. doi: 10.17706/ijbbb.2015.5.2.100-110 Abstract: Extra-ribosomal functions of ribosomal proteins have been widely accepted albeit an incomplete understanding of these roles. Standard experimental studies have limited usefulness in defining the complete biological significance of ribosomal proteins. An alternative strategy is via in silico analysis. Here, we sought a sequence-to-structure-to-function approach to computationally predict the extra-ribosomal functions of a subset of ribosomal proteins of the small ribosome subunit, namely RPS12, RPS19, RPS20 and RPS24. Three-dimensional structure constructed from amino acid sequence was precisely matched with structural neighbours to extrapolate possible functions. Our analysis reveals new logical roles for these ribosomal proteins, of which represent important information for planning experimental and further in silico studies to elucidate their physiological roles. Key words: Extra-ribosomal functions, RPS12, RPS19, RPS20, RPS24, structural neighbours, 3D modelling. 1. Introduction Ribosomal proteins (RPs) are originally construed as only essential components of the ribosomes involved in protein biosynthesis. However, since the 1990s, their extra-ribosomal roles have been discussed revealing their association with congenital diseases and a wide range of cancers [1], [2]. For instance, over-expression of RPS12 has been observed in the tissues of colon adenocarcinomas and adenomatous polyps [3], squamous cell carcinoma of the human uterine cervix [4], and gastric cancer [5]. -
A Genome-Wide CRISPR Screen Identifies Regulators of Beta Cell
bioRxiv preprint doi: https://doi.org/10.1101/2021.05.28.445984; this version posted May 28, 2021. 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. 1 A genome-wide CRISPR screen identifies regulators of beta cell 2 function involved in type 2 diabetes risk 3 Antje K Grotz1, Elena Navarro-Guerrero2, Romina J Bevacqua3,4, Roberta Baronio2, Soren K 4 Thomsen1, Sameena Nawaz1, Varsha Rajesh4,5, Agata Wesolowska-Andersen6, Seung K Kim3,4, 5 Daniel Ebner2, Anna L Gloyn1,4,5,6,7* 6 1. Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, 7 University of Oxford, Oxford, OX3 7LE, UK. 8 2. Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford OX3 9 7FZ, UK. 10 3. Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA, 11 USA. 12 4. Stanford Diabetes Research Centre, Stanford School of Medicine, Stanford University, Stanford, 13 CA, USA 14 5. Department of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford 15 University, Stanford, CA, USA. 16 6. Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, 17 Oxford, OX3 7BN, UK. 18 7. Oxford NIHR Biomedical Research Centre, Oxford University Hospitals Trust, Oxford, OX3 19 7LE, UK. 20 21 *Correspondence: Anna L. Gloyn, Division of Endocrinology, Department of Pediatrics, Stanford School of 22 Medicine, Stanford University, Stanford, CA, USA. -
Vacuolar-Sorting Protein SNF8 (1-258, His-Tag) Human Protein Product Data
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 AR50418PU-S Vacuolar-sorting protein SNF8 (1-258, His-tag) Human Protein Product data: Product Type: Recombinant Proteins Description: Vacuolar-sorting protein SNF8 (1-258, His-tag) human recombinant protein, 0.1 mg Species: Human Expression Host: E. coli Tag: His-tag Predicted MW: 31.4 kDa Concentration: lot specific Purity: >90% by SDS - PAGE Buffer: Presentation State: Purified State: Liquid purified protein Buffer System: 20 mM Tris-HCl buffer, pH8.0, 50% glycerol, 2mM DTT, 200mM NaCl Preparation: Liquid purified protein Protein Description: Recombinant human SNF8 protein, fused to His-tag at N-terminus, was expressed in E.coli and purified by using conventional chromatography techniques. Storage: Store undiluted at 2-8°C for one week or (in aliquots) at -20°C to -80°C for longer. Avoid repeated freezing and thawing. Stability: Shelf life: one year from despatch. RefSeq: NP_001304121 Locus ID: 11267 UniProt ID: Q96H20 Cytogenetics: 17q21.32 Synonyms: Dot3; EAP30; VPS22 Summary: The protein encoded by this gene is a component of the endosomal sorting complex required for transport II (ESCRT-II), which regulates the movement of ubiquitinylated transmembrane proteins to the lysosome for degradation. This complex also interacts with the RNA polymerase II elongation factor (ELL) to overcome the repressive effects of ELL on RNA polymerase II activity. Several transcript variants encoding different isoforms have been found for this gene. [provided by RefSeq, Nov 2015] This product is to be used for laboratory only. -
Global Ubiquitylation Analysis of Mitochondria in Primary Neurons
bioRxiv preprint doi: https://doi.org/10.1101/2021.04.01.438131; this version posted April 1, 2021. 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 4.0 International license. Global ubiquitylation analysis of mitochondria in primary neurons identifies physiological Parkin targets following activation of PINK1 Odetta Antico1#, Alban Ordureau2#, Michael Stevens1, Francois Singh1, Marek φ Gierlinski3, Erica Barini1 , Mollie L. Rickwood1, Alan Prescott4, Rachel Toth1, Ian G. Ganley1, J. Wade Harper2*, and Miratul M. K. Muqit1* 1MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee, United Kingdom, DD1 5EH, U.K. 2Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA 3Data Analysis Group, Division of Computational Biology, School of Life Sciences, University of Dundee, Dundee, United Kingdom, DD1 5EH, U.K. 4Dundee Imaging Facility, School of Life Sciences, University of Dundee, Dundee, United Kingdom, DD1 5EH, U.K #Denotes Equal Contribution φCurrent address: AbbVie Deutschland GmbH & Co, Knollstr, 67061, Ludwigshafen, Germany *Correspondence: [email protected] or [email protected] Keywords Neurons, PINK1, Parkin, ubiquitin, Parkinson’s disease, Mitochondria, Running Title: Ubiquitin analysis of mitochondria in neurons 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.04.01.438131; this version posted April 1, 2021. 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. -
Anti-VPS25 Monoclonal Antibody, Clone T3 (DCABH-13967) This Product Is for Research Use Only and Is Not Intended for Diagnostic Use
Anti-VPS25 monoclonal antibody, clone T3 (DCABH-13967) This product is for research use only and is not intended for diagnostic use. PRODUCT INFORMATION Antigen Description VPS25, VPS36 (MIM 610903), and SNF8 (MIM 610904) form ESCRT-II (endosomal sorting complex required for transport II), a complex involved in endocytosis of ubiquitinated membrane proteins. VPS25, VPS36, and SNF8 are also associated in a multiprotein complex with RNA polymerase II elongation factor (ELL; MIM 600284) (Slagsvold et al., 2005 [PubMed 15755741]; Kamura et al., 2001 [PubMed 11278625]). Immunogen VPS25 (AAH06282.1, 1 a.a. ~ 176 a.a) full-length recombinant protein with GST tag. MW of the GST tag alone is 26 KDa. Isotype IgG1 Source/Host Mouse Species Reactivity Human Clone T3 Conjugate Unconjugated Applications Western Blot (Cell lysate); Western Blot (Recombinant protein); ELISA Sequence Similarities MAMSFEWPWQYRFPPFFTLQPNVDTRQKQLAAWCSLVLSFCRLHKQSSMTVMEAQESPLFNN VKLQRKLPVESIQIVLEELRKKGNLEWLDKSKSSFLIMWRRPEEWGKLIYQWVSRSGQNNSVFT LYELTNGEDTEDEEFHGLDEATLLRALQALQQEHKAEIITVSDGRGVKFF Size 1 ea Buffer In ascites fluid Preservative None Storage Store at -20°C or lower. Aliquot to avoid repeated freezing and thawing. GENE INFORMATION Gene Name VPS25 vacuolar protein sorting 25 homolog (S. cerevisiae) [ Homo sapiens ] 45-1 Ramsey Road, Shirley, NY 11967, USA Email: [email protected] Tel: 1-631-624-4882 Fax: 1-631-938-8221 1 © Creative Diagnostics All Rights Reserved Official Symbol VPS25 Synonyms VPS25; vacuolar protein sorting 25 homolog (S. cerevisiae); -
Mechanistic Insights Into the Interactions of NAP1 with the SKICH Domains of NDP52 and TAX1BP1
Mechanistic insights into the interactions of NAP1 with the SKICH domains of NDP52 and TAX1BP1 Tao Fua, Jianping Liua, Yingli Wanga, Xingqiao Xiea, Shichen Hua, and Lifeng Pana,1 aState Key Laboratory of Bioorganic and Natural Products Chemistry, Center for Excellence in Molecular Synthesis, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 200032 Shanghai, China Edited by Beth Levine, The University of Texas Southwestern, Dallas, TX, and approved October 30, 2018 (received for review July 3, 2018) NDP52 and TAX1BP1, two SKIP carboxyl homology (SKICH) domain- enterica Typhimurium, and the depolarized mitochondria (mitoph- containing autophagy receptors, play crucial roles in selective agy) (15–18). In addition, NDP52 was reported to mediate selective autophagy. The autophagic functions of NDP52 and TAX1BP1 are autophagic degradations of retrotransposon RNA (19) and specific regulated by TANK-binding kinase 1 (TBK1), which may associate functional proteins, including DICER and AGO2 in the miRNA with them through the adaptor NAP1. However, the molecular pathway and MAVS in immune signaling (20, 21). Notably, genetic mechanism governing the interactions of NAP1 with NDP52 and mutation of NDP52 is directly linked to Crohn’s disease, a type of TAX1BP1, as well as the effects induced by TBK1-mediated phos- inflammatory bowel disease likely caused by a combination of en- phorylation of NDP52 and TAX1BP1, remains elusive. Here, we vironmental, immune, and bacterial factors (22). Except for the report the atomic structures of the SKICH regions of NDP52 and diverse central coiled-coil region, NDP52 and TAX1BP1 share a TAX1BP1 in complex with NAP1, which not only uncover the mech- highly similar domain structure (Fig. -
Annual Scientific Report 2011 Annual Scientific Report 2011 Designed and Produced by Pickeringhutchins Ltd
European Bioinformatics Institute EMBL-EBI Annual Scientific Report 2011 Annual Scientific Report 2011 Designed and Produced by PickeringHutchins Ltd www.pickeringhutchins.com EMBL member states: Austria, Croatia, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Israel, Italy, Luxembourg, the Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, United Kingdom. Associate member state: Australia EMBL-EBI is a part of the European Molecular Biology Laboratory (EMBL) EMBL-EBI EMBL-EBI EMBL-EBI EMBL-European Bioinformatics Institute Wellcome Trust Genome Campus, Hinxton Cambridge CB10 1SD United Kingdom Tel. +44 (0)1223 494 444, Fax +44 (0)1223 494 468 www.ebi.ac.uk EMBL Heidelberg Meyerhofstraße 1 69117 Heidelberg Germany Tel. +49 (0)6221 3870, Fax +49 (0)6221 387 8306 www.embl.org [email protected] EMBL Grenoble 6, rue Jules Horowitz, BP181 38042 Grenoble, Cedex 9 France Tel. +33 (0)476 20 7269, Fax +33 (0)476 20 2199 EMBL Hamburg c/o DESY Notkestraße 85 22603 Hamburg Germany Tel. +49 (0)4089 902 110, Fax +49 (0)4089 902 149 EMBL Monterotondo Adriano Buzzati-Traverso Campus Via Ramarini, 32 00015 Monterotondo (Rome) Italy Tel. +39 (0)6900 91402, Fax +39 (0)6900 91406 © 2012 EMBL-European Bioinformatics Institute All texts written by EBI-EMBL Group and Team Leaders. This publication was produced by the EBI’s Outreach and Training Programme. Contents Introduction Foreword 2 Major Achievements 2011 4 Services Rolf Apweiler and Ewan Birney: Protein and nucleotide data 10 Guy Cochrane: The European Nucleotide Archive 14 Paul Flicek: -
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. -
Spatial Sorting Enables Comprehensive Characterization of Liver Zonation
ARTICLES https://doi.org/10.1038/s42255-019-0109-9 Spatial sorting enables comprehensive characterization of liver zonation Shani Ben-Moshe1,3, Yonatan Shapira1,3, Andreas E. Moor 1,2, Rita Manco1, Tamar Veg1, Keren Bahar Halpern1 and Shalev Itzkovitz 1* The mammalian liver is composed of repeating hexagonal units termed lobules. Spatially resolved single-cell transcriptomics has revealed that about half of hepatocyte genes are differentially expressed across the lobule, yet technical limitations have impeded reconstructing similar global spatial maps of other hepatocyte features. Here, we show how zonated surface markers can be used to sort hepatocytes from defined lobule zones with high spatial resolution. We apply transcriptomics, microRNA (miRNA) array measurements and mass spectrometry proteomics to reconstruct spatial atlases of multiple zon- ated features. We demonstrate that protein zonation largely overlaps with messenger RNA zonation, with the periportal HNF4α as an exception. We identify zonation of miRNAs, such as miR-122, and inverse zonation of miRNAs and their hepa- tocyte target genes, highlighting potential regulation of gene expression levels through zonated mRNA degradation. Among the targets, we find the pericentral Wingless-related integration site (Wnt) receptors Fzd7 and Fzd8 and the periportal Wnt inhibitors Tcf7l1 and Ctnnbip1. Our approach facilitates reconstructing spatial atlases of multiple cellular features in the liver and other structured tissues. he mammalian liver is a structured organ, consisting of measurements would broaden our understanding of the regulation repeating hexagonally shaped units termed ‘lobules’ (Fig. 1a). of liver zonation and could be used to model liver metabolic func- In mice, each lobule consists of around 9–12 concentric lay- tion more precisely.