Identification of a 428-Kb Homozygously Deleted Region
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Regulation of Pluripotency by RNA Binding Proteins
Cell Stem Cell Review Regulation of Pluripotency by RNA Binding Proteins Julia Ye1,2 and Robert Blelloch1,2,* 1The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, Center for Reproductive Sciences, University of California, San Francisco, San Francisco, CA 94143, USA 2Department of Urology, University of California, San Francisco, San Francisco, CA 94143, USA *Correspondence: [email protected] http://dx.doi.org/10.1016/j.stem.2014.08.010 Establishment, maintenance, and exit from pluripotency require precise coordination of a cell’s molecular machinery. Substantial headway has been made in deciphering many aspects of this elaborate system, particularly with respect to epigenetics, transcription, and noncoding RNAs. Less attention has been paid to posttranscriptional regulatory processes such as alternative splicing, RNA processing and modification, nuclear export, regulation of transcript stability, and translation. Here, we introduce the RNA binding proteins that enable the posttranscriptional regulation of gene expression, summarizing current and ongoing research on their roles at different regulatory points and discussing how they help script the fate of pluripotent stem cells. Introduction RBPs are responsible for every event in the life of an RNA Embryonic stem cells (ESCs), which are derived from the inner molecule, including its capping, splicing, cleavage, nontem- cell mass of the mammalian blastocyst, are remarkable because plated nucleotide addition, nucleotide editing, nuclear export, they can propagate in vitro indefinitely while retaining both the cellular localization, stability, and translation (Keene, 2007). molecular identity and the pluripotent properties of the peri-im- Overall, little is known about RBPs: most are classified based plantation epiblast. -
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. -
Genome-Wide Parent-Of-Origin DNA Methylation Analysis Reveals The
Downloaded from genome.cshlp.org on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press Research Genome-wide parent-of-origin DNA methylation analysis reveals the intricacies of human imprinting and suggests a germline methylation-independent mechanism of establishment Franck Court,1,15 Chiharu Tayama,2,15 Valeria Romanelli,1,15 Alex Martin-Trujillo,1,15 Isabel Iglesias-Platas,3 Kohji Okamura,4 Naoko Sugahara,2 Carlos Simo´n,5 Harry Moore,6 Julie V. Harness,7 Hans Keirstead,7 Jose Vicente Sanchez-Mut,8 Eisuke Kaneki,9 Pablo Lapunzina,10 Hidenobu Soejima,11 Norio Wake,9 Manel Esteller,8,12,13 Tsutomu Ogata,14 Kenichiro Hata,2 Kazuhiko Nakabayashi,2,16,17 and David Monk1,16,17 1–14[Author affiliations appear at the end of the paper.] Differential methylation between the two alleles of a gene has been observed in imprinted regions, where the methylation of one allele occurs on a parent-of-origin basis, the inactive X-chromosome in females, and at those loci whose methylation is driven by genetic variants. We have extensively characterized imprinted methylation in a substantial range of normal human tissues, reciprocal genome-wide uniparental disomies, and hydatidiform moles, using a combination of whole- genome bisulfite sequencing and high-density methylation microarrays. This approach allowed us to define methylation profiles at known imprinted domains at base-pair resolution, as well as to identify 21 novel loci harboring parent-of-origin methylation, 15 of which are restricted to the placenta. We observe that the extent of imprinted differentially methylated regions (DMRs) is extremely similar between tissues, with the exception of the placenta. -
XIAP's Profile in Human Cancer
biomolecules Review XIAP’s Profile in Human Cancer Huailu Tu and Max Costa * Department of Environmental Medicine, Grossman School of Medicine, New York University, New York, NY 10010, USA; [email protected] * Correspondence: [email protected] Received: 16 September 2020; Accepted: 25 October 2020; Published: 29 October 2020 Abstract: XIAP, the X-linked inhibitor of apoptosis protein, regulates cell death signaling pathways through binding and inhibiting caspases. Mounting experimental research associated with XIAP has shown it to be a master regulator of cell death not only in apoptosis, but also in autophagy and necroptosis. As a vital decider on cell survival, XIAP is involved in the regulation of cancer initiation, promotion and progression. XIAP up-regulation occurs in many human diseases, resulting in a series of undesired effects such as raising the cellular tolerance to genetic lesions, inflammation and cytotoxicity. Hence, anti-tumor drugs targeting XIAP have become an important focus for cancer therapy research. RNA–XIAP interaction is a focus, which has enriched the general profile of XIAP regulation in human cancer. In this review, the basic functions of XIAP, its regulatory role in cancer, anti-XIAP drugs and recent findings about RNA–XIAP interactions are discussed. Keywords: XIAP; apoptosis; cancer; therapeutics; non-coding RNA 1. Introduction X-linked inhibitor of apoptosis protein (XIAP), also known as inhibitor of apoptosis protein 3 (IAP3), baculoviral IAP repeat-containing protein 4 (BIRC4), and human IAPs like protein (hILP), belongs to IAP family which was discovered in insect baculovirus [1]. Eight different IAPs have been isolated from human tissues: NAIP (BIRC1), BIRC2 (cIAP1), BIRC3 (cIAP2), XIAP (BIRC4), BIRC5 (survivin), BIRC6 (apollon), BIRC7 (livin) and BIRC8 [2]. -
TAB1 Antibody Cat
TAB1 Antibody Cat. No.: 3387 Western blot analysis of TAB1 in 3T3 cell lysate with TAB1 antibody at (A) 0.5, (B) 1, and (C) 2 μg/mL. Immunocytochemistry of TAB1 in K562 cells with TAB1 Immunofluorescence of TAB1 in 3T3 cells with TAB1 antibody at 1 μg/mL. antibody at 2 μg/mL. Specifications HOST SPECIES: Rabbit SPECIES REACTIVITY: Human, Mouse TAB1 antibody was raised against a synthetic peptide corresponding to 13 amino acids in the center of human TAB1. IMMUNOGEN: The immunogen is located within amino acids 220 - 270 of TAB1. TESTED APPLICATIONS: ELISA, ICC, IF, WB September 25, 2021 1 https://www.prosci-inc.com/tab1-antibody-3387.html TAB1 antibody can be used for the detection of TAB1 by Western blot at 0.5 to 2 μg/mL. Antibody can also be used for immunocytochemistry starting at 1 μg/mL. For immunofluorescence start at 2 μg/mL. APPLICATIONS: Antibody validated: Western Blot in mouse samples; Immunocytochemistry in human samples and Immunofluorescence in mouse samples. All other applications and species not yet tested. POSITIVE CONTROL: 1) Cat. No. 1212 - 3T3 Cell Lysate 2) Cat. No. 1204 - K562 Cell Lysate 3) Cat. No. 17-004 - K-562 Cell Slide 4) Cat. No. 17-201 - 3T3/BALB Cell Slide Properties PURIFICATION: TAB1 Antibody is affinity chromatography purified via peptide column. CLONALITY: Polyclonal ISOTYPE: IgG CONJUGATE: Unconjugated PHYSICAL STATE: Liquid BUFFER: TAB1 Antibody is supplied in PBS containing 0.02% sodium azide. CONCENTRATION: 1 mg/mL TAB1 antibody can be stored at 4˚C for three months and -20˚C, stable for up to one STORAGE CONDITIONS: year. -
The Capacity of Long-Term in Vitro Proliferation of Acute Myeloid
The Capacity of Long-Term in Vitro Proliferation of Acute Myeloid Leukemia Cells Supported Only by Exogenous Cytokines Is Associated with a Patient Subset with Adverse Outcome Annette K. Brenner, Elise Aasebø, Maria Hernandez-Valladares, Frode Selheim, Frode Berven, Ida-Sofie Grønningsæter, Sushma Bartaula-Brevik and Øystein Bruserud Supplementary Material S2 of S31 Table S1. Detailed information about the 68 AML patients included in the study. # of blasts Viability Proliferation Cytokine Viable cells Change in ID Gender Age Etiology FAB Cytogenetics Mutations CD34 Colonies (109/L) (%) 48 h (cpm) secretion (106) 5 weeks phenotype 1 M 42 de novo 241 M2 normal Flt3 pos 31.0 3848 low 0.24 7 yes 2 M 82 MF 12.4 M2 t(9;22) wt pos 81.6 74,686 low 1.43 969 yes 3 F 49 CML/relapse 149 M2 complex n.d. pos 26.2 3472 low 0.08 n.d. no 4 M 33 de novo 62.0 M2 normal wt pos 67.5 6206 low 0.08 6.5 no 5 M 71 relapse 91.0 M4 normal NPM1 pos 63.5 21,331 low 0.17 n.d. yes 6 M 83 de novo 109 M1 n.d. wt pos 19.1 8764 low 1.65 693 no 7 F 77 MDS 26.4 M1 normal wt pos 89.4 53,799 high 3.43 2746 no 8 M 46 de novo 26.9 M1 normal NPM1 n.d. n.d. 3472 low 1.56 n.d. no 9 M 68 MF 50.8 M4 normal D835 pos 69.4 1640 low 0.08 n.d. -
Mapping of Quantitative Trait Loci for Milk Yield Traits on Bovine Chromosome 5 in the Fleckvieh Cattle
From the Department of Veterinary Sciences Faculty of Veterinary Medicine Ludwig-Maximilians-Universität München Arbeit angefertigt unter der Leitung von Univ. Prof. Dr. Dr. habil. Martin Förster Mapping of Quantitative Trait Loci for Milk Yield Traits on Bovine Chromosome 5 in the Fleckvieh Cattle Inaugural–Dissertation For the attainment of Doctor Degree in Veterinary Medicine From the Faculty of Veterinary Medicine of the Ludwig-Maximilians-Universität München by Ashraf Fathy Said Awad from Sharkia- Egypt München 2011 Gedruckt mit Genehmigung der Tierärztlichen Fakultät der Ludwig–Maximilians–Universität München Dekan: Univ. Prof. Dr. Braun Berichterstatter: Univ. Prof. Dr. Dr. habil Förster Korreferent: Univ. Prof. Dr. Mansfeld Tag der Promotion: 12. February 2011 This work is dedicated to My Parents, my wife and my lovely daughters; Sama, Shaza, Hana CONTENTS CONTENTS ABBREVIATION……………………………………………………………… IV CHAPTER 1: GENERAL INTRODUCTION……………………………….. 1 CHAPTER 2: REVIEW OF LITERATURE………………………………… 3 2.1. DNA Markers……………………………………………………….. 3 2.1.1. Microsatellites………………………………………………………….. 3 2.1.2. Single Nucleotide Polymorphism (SNPs)…………………………… 4 2.2. Mapping of Quantitative Trait Loci (QTL)…………………….. 5 2.2.1. QTL Mapping Designs………………………………………………... 6 2.2.1.1. Daughter Design………………………………………………... 6 2.2.1.2. Granddaughter Design………………………………………… 7 2.2.1.3. Complex Pedigree Design…………………………………….. 9 2.2.2. QTL Mapping Strategies……………………………………………… 10 2.2.2.1. Candidate Gene Approach……………………………………. 10 2.2.2.2. Genome Scan Approach……………………………………… 11 2.3. Principles of Linkage Mapping…………………………………. 12 2.4. QTL Fine Mapping………………………………………………… 14 2.4.1. Linkage Disequilibrium……………………………………………… 15 2.4.2. Combined Linkage Disequilibrium and Linkage (LDL) Mapping… 17 2.5. Identification of Candidate Genes……………………………… 18 2.6. -
Noelia Díaz Blanco
Effects of environmental factors on the gonadal transcriptome of European sea bass (Dicentrarchus labrax), juvenile growth and sex ratios Noelia Díaz Blanco Ph.D. thesis 2014 Submitted in partial fulfillment of the requirements for the Ph.D. degree from the Universitat Pompeu Fabra (UPF). This work has been carried out at the Group of Biology of Reproduction (GBR), at the Department of Renewable Marine Resources of the Institute of Marine Sciences (ICM-CSIC). Thesis supervisor: Dr. Francesc Piferrer Professor d’Investigació Institut de Ciències del Mar (ICM-CSIC) i ii A mis padres A Xavi iii iv Acknowledgements This thesis has been made possible by the support of many people who in one way or another, many times unknowingly, gave me the strength to overcome this "long and winding road". First of all, I would like to thank my supervisor, Dr. Francesc Piferrer, for his patience, guidance and wise advice throughout all this Ph.D. experience. But above all, for the trust he placed on me almost seven years ago when he offered me the opportunity to be part of his team. Thanks also for teaching me how to question always everything, for sharing with me your enthusiasm for science and for giving me the opportunity of learning from you by participating in many projects, collaborations and scientific meetings. I am also thankful to my colleagues (former and present Group of Biology of Reproduction members) for your support and encouragement throughout this journey. To the “exGBRs”, thanks for helping me with my first steps into this world. Working as an undergrad with you Dr. -
Leukocyte-Specific Adaptor Protein Grap2 Interacts with Hematopoietic
Oncogene (2001) 20, 1703 ± 1714 ã 2001 Nature Publishing Group All rights reserved 0950 ± 9232/01 $15.00 www.nature.com/onc Leukocyte-speci®c adaptor protein Grap2 interacts with hematopoietic progenitor kinase 1 (HPK1) to activate JNK signaling pathway in T lymphocytes Wenbin Ma1, Chunzhi Xia1, Pin Ling2, Mengsheng Qiu3, Ying Luo4, Tse-Hua Tan2 and Mingyao Liu*,1 1Department of Medical Biochemistry and Genetics, Center for Cancer Biology and Nutrition, Institute of Biosciences and Technology, Texas A&M University System Health Science Center, 2121 W. Holcombe Blvd., Houston, Texas, TX 77030, USA; 2Department of Immunology, Baylor College of Medicine, Houston, Texas, TX 77030, USA; 3Department of Anatomical Sciences and Neurobiology, School of Medicine, University of Louisville, Louisville, Kentucky, KY 40202, USA; 4Shanghai Genomics, Inc., Zhangjiang Hi-Tech Park, Pudong, Shangai 201204, P.R.C. Immune cell-speci®c adaptor proteins create various Introduction combinations of multiprotein complexes and integrate signals from cell surface receptors to the nucleus, Activation of resting T cells through the T-cell antigen modulating the speci®city and selectivity of intracellular receptor triggers a cascade of intracellular signaling signal transduction. Grap2 is a newly identi®ed adaptor events that lead to enhanced gene transcription, protein speci®cally expressed in lymphoid tissues. This cellular dierentiation and proliferation (Cantrell, protein shares 40 ± 50% sequence homology in the SH3 1996; Weiss and Littman, 1994; Chan and Shaw, and the SH2 domain with Grb2 and Grap. However, the 1996; Crabtree and Clipstone, 1994; Wange and Grap2 protein has a unique 120-amino acid glutamine- Samelson, 1996). Although components of the T-cell and proline-rich domain between the SH2 and C- receptor complex have no intrinsic kinase activity, the terminal SH3 domains. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
Lineage-Specific Programming Target Genes Defines Potential for Th1 Temporal Induction Pattern of STAT4
Downloaded from http://www.jimmunol.org/ by guest on October 1, 2021 is online at: average * The Journal of Immunology published online 26 August 2009 from submission to initial decision 4 weeks from acceptance to publication J Immunol http://www.jimmunol.org/content/early/2009/08/26/jimmuno l.0901411 Temporal Induction Pattern of STAT4 Target Genes Defines Potential for Th1 Lineage-Specific Programming Seth R. Good, Vivian T. Thieu, Anubhav N. Mathur, Qing Yu, Gretta L. Stritesky, Norman Yeh, John T. O'Malley, Narayanan B. Perumal and Mark H. Kaplan Submit online. Every submission reviewed by practicing scientists ? is published twice each month by http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://www.jimmunol.org/content/suppl/2009/08/26/jimmunol.090141 1.DC1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* • Why • • Material Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2009 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of October 1, 2021. Published August 26, 2009, doi:10.4049/jimmunol.0901411 The Journal of Immunology Temporal Induction Pattern of STAT4 Target Genes Defines Potential for Th1 Lineage-Specific Programming1 Seth R. Good,2* Vivian T. Thieu,2† Anubhav N. Mathur,† Qing Yu,† Gretta L. -
Brain Region-Dependent Gene Networks Associated with Selective Breeding for Increased Voluntary Wheel-Running Behavior
UC Riverside UC Riverside Previously Published Works Title Brain region-dependent gene networks associated with selective breeding for increased voluntary wheel-running behavior. Permalink https://escholarship.org/uc/item/8c49g8fd Journal PloS one, 13(8) ISSN 1932-6203 Authors Zhang, Pan Rhodes, Justin S Garland, Theodore et al. Publication Date 2018 DOI 10.1371/journal.pone.0201773 Peer reviewed eScholarship.org Powered by the California Digital Library University of California RESEARCH ARTICLE Brain region-dependent gene networks associated with selective breeding for increased voluntary wheel-running behavior Pan Zhang1,2, Justin S. Rhodes3,4, Theodore Garland, Jr.5, Sam D. Perez3, Bruce R. Southey2, Sandra L. Rodriguez-Zas2,6,7* 1 Illinois Informatics Institute, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, 2 Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United a1111111111 States of America, 3 Beckman Institute for Advanced Science and Technology, Urbana, IL, United States of a1111111111 America, 4 Center for Nutrition, Learning and Memory, University of Illinois at Urbana-Champaign, Urbana, a1111111111 IL, United States of America, 5 Department of Evolution, Ecology, and Organismal Biology, University of a1111111111 California, Riverside, CA, United States of America, 6 Department of Statistics, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, 7 Carle Woese Institute for Genomic Biology, a1111111111 University of Illinois at Urbana-Champaign, Urbana, IL, United States of America * [email protected] OPEN ACCESS Abstract Citation: Zhang P, Rhodes JS, Garland T, Jr., Perez SD, Southey BR, Rodriguez-Zas SL (2018) Brain Mouse lines selectively bred for high voluntary wheel-running behavior are helpful models region-dependent gene networks associated with for uncovering gene networks associated with increased motivation for physical activity and selective breeding for increased voluntary wheel- other reward-dependent behaviors.