Genetic Signatures of Acute Asthma Exacerbation Related with Ineffective Response to Corticosteroid
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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. -
Methionine Sulfoxide Reduction in Mammals: Characterization of Methionine-R-Sulfoxide Reductases
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Vadim Gladyshev Publications Biochemistry, Department of February 2004 Methionine Sulfoxide Reduction in Mammals: Characterization of Methionine-R-Sulfoxide Reductases Hwa-Young Kim University of Nebraska-Lincoln Vadim Gladyshev University of Nebraska-Lincoln, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/biochemgladyshev Part of the Biochemistry, Biophysics, and Structural Biology Commons Kim, Hwa-Young and Gladyshev, Vadim, "Methionine Sulfoxide Reduction in Mammals: Characterization of Methionine-R-Sulfoxide Reductases" (2004). Vadim Gladyshev Publications. 7. https://digitalcommons.unl.edu/biochemgladyshev/7 This Article is brought to you for free and open access by the Biochemistry, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Vadim Gladyshev Publications by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Molecular Biology of the Cell Vol. 15, 1055–1064, March 2004 Methionine Sulfoxide Reduction in Mammals: Characterization of Methionine-R-Sulfoxide Reductases Hwa-Young Kim and Vadim N. Gladyshev* Department of Biochemistry, University of Nebraska, Lincoln, Nebraska 68588 Submitted August 28, 2003; Revised November 14, 2003; Accepted November 29, 2003 Monitoring Editor: Guido Guidotti Methionine residues in proteins are susceptible to oxidation by reactive oxygen species, but can be repaired via reduction of the resulting methionine sulfoxides by methionine-S-sulfoxide reductase (MsrA) and methionine-R-sulfoxide reduc- tase (MsrB). However, the identity of all methionine sulfoxide reductases involved, their cellular locations and relative contributions to the overall pathway are poorly understood. Here, we describe a methionine-R-sulfoxide reduction system in mammals, in which two MsrB homologues were previously described. -
Identification of Candidate Genes and Pathways Associated with Obesity
animals Article Identification of Candidate Genes and Pathways Associated with Obesity-Related Traits in Canines via Gene-Set Enrichment and Pathway-Based GWAS Analysis Sunirmal Sheet y, Srikanth Krishnamoorthy y , Jihye Cha, Soyoung Choi and Bong-Hwan Choi * Animal Genome & Bioinformatics, National Institute of Animal Science, RDA, Wanju 55365, Korea; [email protected] (S.S.); [email protected] (S.K.); [email protected] (J.C.); [email protected] (S.C.) * Correspondence: [email protected]; Tel.: +82-10-8143-5164 These authors contributed equally. y Received: 10 October 2020; Accepted: 6 November 2020; Published: 9 November 2020 Simple Summary: Obesity is a serious health issue and is increasing at an alarming rate in several dog breeds, but there is limited information on the genetic mechanism underlying it. Moreover, there have been very few reports on genetic markers associated with canine obesity. These studies were limited to the use of a single breed in the association study. In this study, we have performed a GWAS and supplemented it with gene-set enrichment and pathway-based analyses to identify causative loci and genes associated with canine obesity in 18 different dog breeds. From the GWAS, the significant markers associated with obesity-related traits including body weight (CACNA1B, C22orf39, U6, MYH14, PTPN2, SEH1L) and blood sugar (PRSS55, GRIK2), were identified. Furthermore, the gene-set enrichment and pathway-based analysis (GESA) highlighted five enriched pathways (Wnt signaling pathway, adherens junction, pathways in cancer, axon guidance, and insulin secretion) and seven GO terms (fat cell differentiation, calcium ion binding, cytoplasm, nucleus, phospholipid transport, central nervous system development, and cell surface) which were found to be shared among all the traits. -
Mitoxplorer, a Visual Data Mining Platform To
mitoXplorer, a visual data mining platform to systematically analyze and visualize mitochondrial expression dynamics and mutations Annie Yim, Prasanna Koti, Adrien Bonnard, Fabio Marchiano, Milena Dürrbaum, Cecilia Garcia-Perez, José Villaveces, Salma Gamal, Giovanni Cardone, Fabiana Perocchi, et al. To cite this version: Annie Yim, Prasanna Koti, Adrien Bonnard, Fabio Marchiano, Milena Dürrbaum, et al.. mitoXplorer, a visual data mining platform to systematically analyze and visualize mitochondrial expression dy- namics and mutations. Nucleic Acids Research, Oxford University Press, 2020, 10.1093/nar/gkz1128. hal-02394433 HAL Id: hal-02394433 https://hal-amu.archives-ouvertes.fr/hal-02394433 Submitted on 4 Dec 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License Nucleic Acids Research, 2019 1 doi: 10.1093/nar/gkz1128 Downloaded from https://academic.oup.com/nar/advance-article-abstract/doi/10.1093/nar/gkz1128/5651332 by Bibliothèque de l'université la Méditerranée user on 04 December 2019 mitoXplorer, a visual data mining platform to systematically analyze and visualize mitochondrial expression dynamics and mutations Annie Yim1,†, Prasanna Koti1,†, Adrien Bonnard2, Fabio Marchiano3, Milena Durrbaum¨ 1, Cecilia Garcia-Perez4, Jose Villaveces1, Salma Gamal1, Giovanni Cardone1, Fabiana Perocchi4, Zuzana Storchova1,5 and Bianca H. -
Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways
biomolecules Article Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways Aayushi Srivastava 1,2,3,4 , Abhishek Kumar 1,5,6 , Sara Giangiobbe 1, Elena Bonora 7, Kari Hemminki 1, Asta Försti 1,2,3 and Obul Reddy Bandapalli 1,2,3,* 1 Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany; [email protected] (A.S.); [email protected] (A.K.); [email protected] (S.G.); [email protected] (K.H.); [email protected] (A.F.) 2 Hopp Children’s Cancer Center (KiTZ), D-69120 Heidelberg, Germany 3 Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), D-69120 Heidelberg, Germany 4 Medical Faculty, Heidelberg University, D-69120 Heidelberg, Germany 5 Institute of Bioinformatics, International Technology Park, Bangalore 560066, India 6 Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, India 7 S.Orsola-Malphigi Hospital, Unit of Medical Genetics, 40138 Bologna, Italy; [email protected] * Correspondence: [email protected]; Tel.: +49-6221-42-1709 Received: 29 August 2019; Accepted: 10 October 2019; Published: 13 October 2019 Abstract: Evidence of familial inheritance in non-medullary thyroid cancer (NMTC) has accumulated over the last few decades. However, known variants account for a very small percentage of the genetic burden. Here, we focused on the identification of common pathways and networks enriched in NMTC families to better understand its pathogenesis with the final aim of identifying one novel high/moderate-penetrance germline predisposition variant segregating with the disease in each studied family. -
©Ferrata Storti Foundation
Original Articles T-cell/histiocyte-rich large B-cell lymphoma shows transcriptional features suggestive of a tolerogenic host immune response Peter Van Loo,1,2,3 Thomas Tousseyn,4 Vera Vanhentenrijk,4 Daan Dierickx,5 Agnieszka Malecka,6 Isabelle Vanden Bempt,4 Gregor Verhoef,5 Jan Delabie,6 Peter Marynen,1,2 Patrick Matthys,7 and Chris De Wolf-Peeters4 1Department of Molecular and Developmental Genetics, VIB, Leuven, Belgium; 2Department of Human Genetics, K.U.Leuven, Leuven, Belgium; 3Bioinformatics Group, Department of Electrical Engineering, K.U.Leuven, Leuven, Belgium; 4Department of Pathology, University Hospitals K.U.Leuven, Leuven, Belgium; 5Department of Hematology, University Hospitals K.U.Leuven, Leuven, Belgium; 6Department of Pathology, The Norwegian Radium Hospital, University of Oslo, Oslo, Norway, and 7Department of Microbiology and Immunology, Rega Institute for Medical Research, K.U.Leuven, Leuven, Belgium Citation: Van Loo P, Tousseyn T, Vanhentenrijk V, Dierickx D, Malecka A, Vanden Bempt I, Verhoef G, Delabie J, Marynen P, Matthys P, and De Wolf-Peeters C. T-cell/histiocyte-rich large B-cell lymphoma shows transcriptional features suggestive of a tolero- genic host immune response. Haematologica. 2010;95:440-448. doi:10.3324/haematol.2009.009647 The Online Supplementary Tables S1-5 are in separate PDF files Supplementary Design and Methods One microgram of total RNA was reverse transcribed using random primers and SuperScript II (Invitrogen, Merelbeke, Validation of microarray results by real-time quantitative Belgium), as recommended by the manufacturer. Relative reverse transcriptase polymerase chain reaction quantification was subsequently performed using the compar- Ten genes measured by microarray gene expression profil- ative CT method (see User Bulletin #2: Relative Quantitation ing were validated by real-time quantitative reverse transcrip- of Gene Expression, Applied Biosystems). -
Noncoding Rnas As Novel Pancreatic Cancer Targets
NONCODING RNAS AS NOVEL PANCREATIC CANCER TARGETS by Amy Makler A Thesis Submitted to the Faculty of The Charles E. Schmidt College of Science In Partial Fulfillment of the Requirements for the Degree of Master of Science Florida Atlantic University Boca Raton, FL August 2018 Copyright 2018 by Amy Makler ii ACKNOWLEDGEMENTS I would first like to thank Dr. Narayanan for his continuous support, constant encouragement, and his gentle, but sometimes critical, guidance throughout the past two years of my master’s education. His faith in my abilities and his belief in my future success ensured I continue down this path of research. Working in Dr. Narayanan’s lab has truly been an unforgettable experience as well as a critical step in my future endeavors. I would also like to extend my gratitude to my committee members, Dr. Binninger and Dr. Jia, for their support and suggestions regarding my thesis. Their recommendations added a fresh perspective that enriched our initial hypothesis. They have been indispensable as members of my committee, and I thank them for their contributions. My parents have been integral to my successes in life and their support throughout my education has been crucial. They taught me to push through difficulties and encouraged me to pursue my interests. Thank you, mom and dad! I would like to thank my boyfriend, Joshua Disatham, for his assistance in ensuring my writing maintained a logical progression and flow as well as his unwavering support. He was my rock when the stress grew unbearable and his encouraging words kept me pushing along. -
Sequencing, Analysis, and Annotation of Expressed Sequence Tags for Camelus Dromedarius
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Faculty Publications from the Department of Electrical & Computer Engineering, Department Electrical and Computer Engineering of 2009 Sequencing, Analysis, and Annotation of Expressed Sequence Tags for Camelus dromedarius Abdulaziz M. Al-Swailem King Abdulaziz City for Science and Technology Maher M. Shehata King Abdulaziz City for Science and Technology Faisel M. Abu-Duhier King Abdulaziz City for Science and Technology Essam J. Al-Yamani King Abdulaziz City for Science and Technology Khalid A. Al-Busadah King Faisal University See next page for additional authors Follow this and additional works at: https://digitalcommons.unl.edu/electricalengineeringfacpub Part of the Computer Engineering Commons, and the Electrical and Computer Engineering Commons Al-Swailem, Abdulaziz M.; Shehata, Maher M.; Abu-Duhier, Faisel M.; Al-Yamani, Essam J.; Al-Busadah, Khalid A.; Al-Arawi, Mohammed S.; Al-Khider, Ali Y.; Al-Muhaimeed, Abdullah N.; Al-Qahtani, Fahad H.; Manee, Manee M.; Al-Shomrani, Badr M.; Al-Qhtani, Saad M.; Al-Harthi, Amer S.; Akdemir, Kadir C.; Inan, Mehmet S.; and Otu, Hasan H., "Sequencing, Analysis, and Annotation of Expressed Sequence Tags for Camelus dromedarius" (2009). Faculty Publications from the Department of Electrical and Computer Engineering. 426. https://digitalcommons.unl.edu/electricalengineeringfacpub/426 This Article is brought to you for free and open access by the Electrical & Computer Engineering, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Faculty Publications from the Department of Electrical and Computer Engineering by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Authors Abdulaziz M. Al-Swailem, Maher M. -
Consistent Rearrangement of Chromosomal Band 6P21 with Generation of Fusion Genes JAZF1/PHF1 and EPC1/PHF1 in Endometrial Stromal Sarcoma
Research Article Consistent Rearrangement of Chromosomal Band 6p21 with Generation of Fusion Genes JAZF1/PHF1 and EPC1/PHF1 in Endometrial Stromal Sarcoma Francesca Micci,1 Ioannis Panagopoulos,4 Bodil Bjerkehagen,2 and Sverre Heim1,3 Departments of 1Cancer Genetics and 2Pathology, The Norwegian Radium Hospital; 3Faculty of Medicine, University of Oslo, Oslo, Norway; and 4Department of Clinical Genetics, University Hospital, Lund, Sweden Abstract Little is known about the genetic background of ESS as only 32 Endometrial stromal sarcomas (ESS) represent <10% of all such tumors have been karyotyped and reported scientifically uterine sarcomas. Cytogenetic data on this tumor type are (6–8). The pattern of rearrangements thus detected is nevertheless limited to 32 cases, and the karyotypes are often complex, clearly nonrandom with particularly frequent involvement of but the pattern of rearrangement is nevertheless clearly chromosome arms 6p and 7p (7). Recently, a specific translocation nonrandom with particularly frequent involvement of chro- t(7;17)(p15;q21) leading to the fusion of two zinc finger genes, mosome arms 6p and 7p. Recently, a specific translocation juxtaposed with another zinc finger (JAZF1) and joined to JAZF1 t(7;17)(p15;q21) leading to the fusion of two zinc finger genes, (JJAZ1), was described in a subset of ESS (9). Both genes, the JAZF1 at 7p15 and JJAZ1 at 17q21, contain sequences encoding zinc finger juxtaposed with another zinc finger (JAZF1) and joined to JAZF1 (JJAZ1), was described in a subset of ESS. We present motifs characteristic of DNA-binding proteins. The gene fusion three ESS whose karyotypes were without the disease-specific results in expression of a tumor-specific mRNA transcript V V t(7;17) but instead showed rearrangement of chromosomal containing 5 -JAZF1 and 3 -JJAZ1 sequences but retaining the zinc band 6p21, twice as an unbalanced t(6p;7p) and once as a finger motifs from both genes. -
Zimmer Cell Calcium 2013 Mammalian S100 Evolution.Pdf
Cell Calcium 53 (2013) 170–179 Contents lists available at SciVerse ScienceDirect Cell Calcium jo urnal homepage: www.elsevier.com/locate/ceca Evolution of the S100 family of calcium sensor proteins a,∗ b b,1 b Danna B. Zimmer , Jeannine O. Eubanks , Dhivya Ramakrishnan , Michael F. Criscitiello a Center for Biomolecular Therapeutics and Department of Biochemistry & Molecular Biology, University of Maryland School of Medicine, 108 North Greene Street, Baltimore, MD 20102, United States b Comparative Immunogenetics Laboratory, Department of Veterinary Pathobiology, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, TX 77843-4467, United States a r t i c l e i n f o a b s t r a c t 2+ Article history: The S100s are a large group of Ca sensors found exclusively in vertebrates. Transcriptomic and genomic Received 4 October 2012 data from the major radiations of mammals were used to derive the evolution of the mammalian Received in revised form 1 November 2012 S100s genes. In human and mouse, S100s and S100 fused-type proteins are in a separate clade from Accepted 3 November 2012 2+ other Ca sensor proteins, indicating that an ancient bifurcation between these two gene lineages Available online 14 December 2012 has occurred. Furthermore, the five genomic loci containing S100 genes have remained largely intact during the past 165 million years since the shared ancestor of egg-laying and placental mammals. Keywords: Nonetheless, interesting births and deaths of S100 genes have occurred during mammalian evolution. Mammals The S100A7 loci exhibited the most plasticity and phylogenetic analyses clarified relationships between Phylogenetic analyses the S100A7 proteins encoded in the various mammalian genomes. -
CREB-Dependent Transcription in Astrocytes: Signalling Pathways, Gene Profiles and Neuroprotective Role in Brain Injury
CREB-dependent transcription in astrocytes: signalling pathways, gene profiles and neuroprotective role in brain injury. Tesis doctoral Luis Pardo Fernández Bellaterra, Septiembre 2015 Instituto de Neurociencias Departamento de Bioquímica i Biologia Molecular Unidad de Bioquímica y Biologia Molecular Facultad de Medicina CREB-dependent transcription in astrocytes: signalling pathways, gene profiles and neuroprotective role in brain injury. Memoria del trabajo experimental para optar al grado de doctor, correspondiente al Programa de Doctorado en Neurociencias del Instituto de Neurociencias de la Universidad Autónoma de Barcelona, llevado a cabo por Luis Pardo Fernández bajo la dirección de la Dra. Elena Galea Rodríguez de Velasco y la Dra. Roser Masgrau Juanola, en el Instituto de Neurociencias de la Universidad Autónoma de Barcelona. Doctorando Directoras de tesis Luis Pardo Fernández Dra. Elena Galea Dra. Roser Masgrau In memoriam María Dolores Álvarez Durán Abuela, eres la culpable de que haya decidido recorrer el camino de la ciencia. Que estas líneas ayuden a conservar tu recuerdo. A mis padres y hermanos, A Meri INDEX I Summary 1 II Introduction 3 1 Astrocytes: physiology and pathology 5 1.1 Anatomical organization 6 1.2 Origins and heterogeneity 6 1.3 Astrocyte functions 8 1.3.1 Developmental functions 8 1.3.2 Neurovascular functions 9 1.3.3 Metabolic support 11 1.3.4 Homeostatic functions 13 1.3.5 Antioxidant functions 15 1.3.6 Signalling functions 15 1.4 Astrocytes in brain pathology 20 1.5 Reactive astrogliosis 22 2 The transcription -
Gene-Expression and in Vitro Function of Mesenchymal Stromal Cells Are Affected in Juvenile Myelomonocytic Leukemia
Myeloproliferative Disorders SUPPLEMENTARY APPENDIX Gene-expression and in vitro function of mesenchymal stromal cells are affected in juvenile myelomonocytic leukemia Friso G.J. Calkoen, 1 Carly Vervat, 1 Else Eising, 2 Lisanne S. Vijfhuizen, 2 Peter-Bram A.C. ‘t Hoen, 2 Marry M. van den Heuvel-Eibrink, 3,4 R. Maarten Egeler, 1,5 Maarten J.D. van Tol, 1 and Lynne M. Ball 1 1Department of Pediatrics, Immunology, Hematology/Oncology and Hematopoietic Stem Cell Transplantation, Leiden University Med - ical Center, the Netherlands; 2Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands; 3Dutch Childhood Oncology Group (DCOG), The Hague, the Netherlands; 4Princess Maxima Center for Pediatric Oncology, Utrecht, the Nether - lands; and 5Department of Hematology/Oncology and Hematopoietic Stem Cell Transplantation, Hospital for Sick Children, University of Toronto, ON, Canada ©2015 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.126938 Manuscript received on March 5, 2015. Manuscript accepted on August 17, 2015. Correspondence: [email protected] Supplementary data: Methods for online publication Patients Children referred to our center for HSCT were included in this study according to a protocol approved by the institutional review board (P08.001). Bone-marrow of 9 children with JMML was collected prior to treatment initiation. In addition, bone-marrow after HSCT was collected from 5 of these 9 children. The patients were classified following the criteria described by Loh et al.(1) Bone-marrow samples were sent to the JMML-reference center in Freiburg, Germany for genetic analysis. Bone-marrow samples of healthy pediatric hematopoietic stem cell donors (n=10) were used as control group (HC).