Skeletal Dysplasias Caused by Sulfation Defects
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Supplemental Information to Mammadova-Bach Et Al., “Laminin Α1 Orchestrates VEGFA Functions in the Ecosystem of Colorectal Carcinogenesis”
Supplemental information to Mammadova-Bach et al., “Laminin α1 orchestrates VEGFA functions in the ecosystem of colorectal carcinogenesis” Supplemental material and methods Cloning of the villin-LMα1 vector The plasmid pBS-villin-promoter containing the 3.5 Kb of the murine villin promoter, the first non coding exon, 5.5 kb of the first intron and 15 nucleotides of the second villin exon, was generated by S. Robine (Institut Curie, Paris, France). The EcoRI site in the multi cloning site was destroyed by fill in ligation with T4 polymerase according to the manufacturer`s instructions (New England Biolabs, Ozyme, Saint Quentin en Yvelines, France). Site directed mutagenesis (GeneEditor in vitro Site-Directed Mutagenesis system, Promega, Charbonnières-les-Bains, France) was then used to introduce a BsiWI site before the start codon of the villin coding sequence using the 5’ phosphorylated primer: 5’CCTTCTCCTCTAGGCTCGCGTACGATGACGTCGGACTTGCGG3’. A double strand annealed oligonucleotide, 5’GGCCGGACGCGTGAATTCGTCGACGC3’ and 5’GGCCGCGTCGACGAATTCACGC GTCC3’ containing restriction site for MluI, EcoRI and SalI were inserted in the NotI site (present in the multi cloning site), generating the plasmid pBS-villin-promoter-MES. The SV40 polyA region of the pEGFP plasmid (Clontech, Ozyme, Saint Quentin Yvelines, France) was amplified by PCR using primers 5’GGCGCCTCTAGATCATAATCAGCCATA3’ and 5’GGCGCCCTTAAGATACATTGATGAGTT3’ before subcloning into the pGEMTeasy vector (Promega, Charbonnières-les-Bains, France). After EcoRI digestion, the SV40 polyA fragment was purified with the NucleoSpin Extract II kit (Machery-Nagel, Hoerdt, France) and then subcloned into the EcoRI site of the plasmid pBS-villin-promoter-MES. Site directed mutagenesis was used to introduce a BsiWI site (5’ phosphorylated AGCGCAGGGAGCGGCGGCCGTACGATGCGCGGCAGCGGCACG3’) before the initiation codon and a MluI site (5’ phosphorylated 1 CCCGGGCCTGAGCCCTAAACGCGTGCCAGCCTCTGCCCTTGG3’) after the stop codon in the full length cDNA coding for the mouse LMα1 in the pCIS vector (kindly provided by P. -
Gene Symbol Gene Description ACVR1B Activin a Receptor, Type IB
Table S1. Kinase clones included in human kinase cDNA library for yeast two-hybrid screening Gene Symbol Gene Description ACVR1B activin A receptor, type IB ADCK2 aarF domain containing kinase 2 ADCK4 aarF domain containing kinase 4 AGK multiple substrate lipid kinase;MULK AK1 adenylate kinase 1 AK3 adenylate kinase 3 like 1 AK3L1 adenylate kinase 3 ALDH18A1 aldehyde dehydrogenase 18 family, member A1;ALDH18A1 ALK anaplastic lymphoma kinase (Ki-1) ALPK1 alpha-kinase 1 ALPK2 alpha-kinase 2 AMHR2 anti-Mullerian hormone receptor, type II ARAF v-raf murine sarcoma 3611 viral oncogene homolog 1 ARSG arylsulfatase G;ARSG AURKB aurora kinase B AURKC aurora kinase C BCKDK branched chain alpha-ketoacid dehydrogenase kinase BMPR1A bone morphogenetic protein receptor, type IA BMPR2 bone morphogenetic protein receptor, type II (serine/threonine kinase) BRAF v-raf murine sarcoma viral oncogene homolog B1 BRD3 bromodomain containing 3 BRD4 bromodomain containing 4 BTK Bruton agammaglobulinemia tyrosine kinase BUB1 BUB1 budding uninhibited by benzimidazoles 1 homolog (yeast) BUB1B BUB1 budding uninhibited by benzimidazoles 1 homolog beta (yeast) C9orf98 chromosome 9 open reading frame 98;C9orf98 CABC1 chaperone, ABC1 activity of bc1 complex like (S. pombe) CALM1 calmodulin 1 (phosphorylase kinase, delta) CALM2 calmodulin 2 (phosphorylase kinase, delta) CALM3 calmodulin 3 (phosphorylase kinase, delta) CAMK1 calcium/calmodulin-dependent protein kinase I CAMK2A calcium/calmodulin-dependent protein kinase (CaM kinase) II alpha CAMK2B calcium/calmodulin-dependent -
Analysis of Gene–Environment Interactions in Postnatal
– Analysis of gene environment interactions in postnatal INAUGURAL ARTICLE development of the mammalian intestine Seth Rakoff-Nahouma,b,c,1, Yong Kongd, Steven H. Kleinsteine, Sathish Subramanianf, Philip P. Ahernf, Jeffrey I. Gordonf, and Ruslan Medzhitova,b,1 aHoward Hughes Medical Institute, bDepartment of Immunobiology, dDepartment of Molecular Biophysics and Biochemistry, W. M. Keck Foundation Biotechnology Resource Laboratory, and eInterdepartmental Program in Computational Biology and Bioinformatics and Department of Pathology, Yale University School of Medicine, New Haven, CT 06510; fCenter for Genome Sciences and Systems Biology, Washington University School of Medicine in St. Louis, St. Louis, MO 63108; and cDivision of Infectious Diseases, Department of Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115 This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2010. Contributed by Ruslan Medzhitov, December 31, 2014 (sent for review December 25, 2014; reviewed by Alexander V. Chervonsky and Alexander Y. Rudensky) Unlike mammalian embryogenesis, which takes place in the relatively immediately after birth, the intestine is exposed to mother’s milk predictable and stable environment of the uterus, postnatal develop- and undergoes initial colonization with microorganisms. Second, ment can be affected by a multitude of highly variable environmental after weaning, the intestinal tract becomes exposed to solid foods factors, including diet, exposure to noxious substances, and micro- and is no longer exposed to mother’s milk components, the host organisms. Microbial colonization of the intestine is thought to play a immune system matures, and the microbiota shifts. particularly important role in postnatal development of the gastroin- Although it is widely recognized that these transitions have testinal, metabolic, and immune systems. -
Figure S1. DMD Module Network. the Network Is Formed by 260 Genes from Disgenet and 1101 Interactions from STRING. Red Nodes Are the Five Seed Candidate Genes
Figure S1. DMD module network. The network is formed by 260 genes from DisGeNET and 1101 interactions from STRING. Red nodes are the five seed candidate genes. Figure S2. DMD module network is more connected than a random module of the same size. It is shown the distribution of the largest connected component of 10.000 random modules of the same size of the DMD module network. The green line (x=260) represents the DMD largest connected component, obtaining a z-score=8.9. Figure S3. Shared genes between BMD and DMD signature. A) A meta-analysis of three microarray datasets (GSE3307, GSE13608 and GSE109178) was performed for the identification of differentially expressed genes (DEGs) in BMD muscle biopsies as compared to normal muscle biopsies. Briefly, the GSE13608 dataset included 6 samples of skeletal muscle biopsy from healthy people and 5 samples from BMD patients. Biopsies were taken from either biceps brachii, triceps brachii or deltoid. The GSE3307 dataset included 17 samples of skeletal muscle biopsy from healthy people and 10 samples from BMD patients. The GSE109178 dataset included 14 samples of controls and 11 samples from BMD patients. For both GSE3307 and GSE10917 datasets, biopsies were taken at the time of diagnosis and from the vastus lateralis. For the meta-analysis of GSE13608, GSE3307 and GSE109178, a random effects model of effect size measure was used to integrate gene expression patterns from the two datasets. Genes with an adjusted p value (FDR) < 0.05 and an │effect size│>2 were identified as DEGs and selected for further analysis. A significant number of DEGs (p<0.001) were in common with the DMD signature genes (blue nodes), as determined by a hypergeometric test assessing the significance of the overlap between the BMD DEGs and the number of DMD signature genes B) MCODE analysis of the overlapping genes between BMD DEGs and DMD signature genes. -
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. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
Genes in Eyecare Geneseyedoc 3 W.M
Genes in Eyecare geneseyedoc 3 W.M. Lyle and T.D. Williams 15 Mar 04 This information has been gathered from several sources; however, the principal source is V. A. McKusick’s Mendelian Inheritance in Man on CD-ROM. Baltimore, Johns Hopkins University Press, 1998. Other sources include McKusick’s, Mendelian Inheritance in Man. Catalogs of Human Genes and Genetic Disorders. Baltimore. Johns Hopkins University Press 1998 (12th edition). http://www.ncbi.nlm.nih.gov/Omim See also S.P.Daiger, L.S. Sullivan, and B.J.F. Rossiter Ret Net http://www.sph.uth.tmc.edu/Retnet disease.htm/. Also E.I. Traboulsi’s, Genetic Diseases of the Eye, New York, Oxford University Press, 1998. And Genetics in Primary Eyecare and Clinical Medicine by M.R. Seashore and R.S.Wappner, Appleton and Lange 1996. M. Ridley’s book Genome published in 2000 by Perennial provides additional information. Ridley estimates that we have 60,000 to 80,000 genes. See also R.M. Henig’s book The Monk in the Garden: The Lost and Found Genius of Gregor Mendel, published by Houghton Mifflin in 2001 which tells about the Father of Genetics. The 3rd edition of F. H. Roy’s book Ocular Syndromes and Systemic Diseases published by Lippincott Williams & Wilkins in 2002 facilitates differential diagnosis. Additional information is provided in D. Pavan-Langston’s Manual of Ocular Diagnosis and Therapy (5th edition) published by Lippincott Williams & Wilkins in 2002. M.A. Foote wrote Basic Human Genetics for Medical Writers in the AMWA Journal 2002;17:7-17. A compilation such as this might suggest that one gene = one disease. -
Larsen Syndrome
I M A G E S Larsen Syndrome Larsen syndrome (OMIM 150250) is a complex syndrome with genetic heterogeneity, and with both autosomal dominant and autosomal recessive An eleven year old male child born to a patterns of inheritance. Mutations in gene encoding nonconsanguinous couple presented with multiple filamin B (FLNB) result in Larsen syndrome. This joint dislocation since birth. He had mild motor gene has an important role in vertebral delay. Examination showed presence of short segmentation, joint formation and endochondral stature. There was no microcephaly. He had flat ossification and is also mutated in atelosteogenesis facies, prominent forehead, depressed nasal bridge, types I and III, and in spondylocarpotarsal and hypertelorism (Fig. 1). He had bilateral syndromes. Autosomal dominant form is rhizomelic shortening of upper limbs, spatulate and characterized by flat facies, joint hypermobility, dislocated thumbs (Fig. 2), bilateral elbow, ankle, congenital multiple joint dislocations, especially of and hip dislocation (Fig.3). Examination of parents the knees and talipes equinovarus. The mid-face is did not reveal any features of Larsen syndrome. hypoplastic with a depressed nasal bridge. Cleft X-rays of long bones showed presence of bilateral palate may be present. Osteoarthritis involving large tibio-femoral and patellar dislocation at knees and joints and progressive kyphoscoliosis are potential dislocation at hip, ankles and thumbs. He also had complications. Airway obstruction caused by hypoplastic fibula on right side. X-ray spine showed tracheomalacia and bronchomalacia may be life presence of short and thick pedicles, kyphosis and threatening. All affected individuals should be hypoplastic superior articular facets. There was no evaluated for cervical spine instability and caution atlanto axial dislocation. -
The Nutrition and Food Web Archive Medical Terminology Book
The Nutrition and Food Web Archive Medical Terminology Book www.nafwa. -
RD-Action Matchmaker – Summary of Disease Expertise Recorded Under
Summary of disease expertise recorded via RD-ACTION Matchmaker under each Thematic Grouping and EURORDIS Members’ Thematic Grouping Thematic Reported expertise of those completing the EURORDIS Member perspectives on Grouping matchmaker under each heading Grouping RD Thematically Rare Bone Achondroplasia/Hypochondroplasia Achondroplasia Amelia skeletal dysplasia’s including Achondroplasia/Growth hormone cleidocranial dysostosis, arthrogryposis deficiency/MPS/Turner Brachydactyly chondrodysplasia punctate Fibrous dysplasia of bone Collagenopathy and oncologic disease such as Fibrodysplasia ossificans progressive Li-Fraumeni syndrome Osteogenesis imperfecta Congenital hand and fore-foot conditions Sterno Costo Clavicular Hyperostosis Disorders of Sex Development Duchenne Muscular Dystrophy Ehlers –Danlos syndrome Fibrodysplasia Ossificans Progressiva Growth disorders Hypoparathyroidism Hypophosphatemic rickets & Nutritional Rickets Hypophosphatasia Jeune’s syndrome Limb reduction defects Madelung disease Metabolic Osteoporosis Multiple Hereditary Exostoses Osteogenesis imperfecta Osteoporosis Paediatric Osteoporosis Paget’s disease Phocomelia Pseudohypoparathyroidism Radial dysplasia Skeletal dysplasia Thanatophoric dwarfism Ulna dysplasia Rare Cancer and Adrenocortical tumours Acute monoblastic leukaemia Tumours Carcinoid tumours Brain tumour Craniopharyngioma Colon cancer, familial nonpolyposis Embryonal tumours of CNS Craniopharyngioma Ependymoma Desmoid disease Epithelial thymic tumours in -
Unraveling the Functional Role of the Orphan Solute Carrier, SLC22A24 in the Transport of Steroid Conjugates Through Metabolomic and Genome-Wide Association Studies
RESEARCH ARTICLE Unraveling the functional role of the orphan solute carrier, SLC22A24 in the transport of steroid conjugates through metabolomic and genome-wide association studies 1☯ 1☯ 1 1 2 Sook Wah Yee , Adrian Stecula , Huan-Chieh Chien , Ling Zou , Elena V. FeofanovaID , 1 1 3,4 5 Marjolein van BorselenID , Kit Wun Kathy Cheung , Noha A. Yousri , Karsten Suhre , Jason M. Kinchen6, Eric Boerwinkle2,7, Roshanak Irannejad8, Bing Yu2, Kathleen 1,9 a1111111111 M. GiacominiID * a1111111111 a1111111111 1 Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, California, United States of America, 2 Human Genetics Center, University of Texas Health Science Center at Houston, a1111111111 Houston, Texas, United States of America, 3 Genetic Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar, a1111111111 4 Computer and Systems Engineering, Alexandria University, Alexandria, Egypt, 5 Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha, Qatar, 6 Metabolon, Inc, Durham, United States of America, 7 Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America, 8 The Cardiovascular Research Institute, University of California, San Francisco, California, United States of America, 9 Institute for Human Genetics, University of California San Francisco, California, United States of America OPEN ACCESS Citation: Yee SW, Stecula A, Chien H-C, Zou L, ☯ These authors contributed equally to this work. Feofanova EV, van Borselen M, et al. (2019) * [email protected] Unraveling the functional role of the orphan solute carrier, SLC22A24 in the transport of steroid conjugates through metabolomic and genome- Abstract wide association studies. PLoS Genet 15(9): e1008208. https://doi.org/10.1371/journal. -
Blueprint Genetics Comprehensive Growth Disorders / Skeletal
Comprehensive Growth Disorders / Skeletal Dysplasias and Disorders Panel Test code: MA4301 Is a 374 gene panel that includes assessment of non-coding variants. This panel covers the majority of the genes listed in the Nosology 2015 (PMID: 26394607) and all genes in our Malformation category that cause growth retardation, short stature or skeletal dysplasia and is therefore a powerful diagnostic tool. It is ideal for patients suspected to have a syndromic or an isolated growth disorder or a skeletal dysplasia. About Comprehensive Growth Disorders / Skeletal Dysplasias and Disorders This panel covers a broad spectrum of diseases associated with growth retardation, short stature or skeletal dysplasia. Many of these conditions have overlapping features which can make clinical diagnosis a challenge. Genetic diagnostics is therefore the most efficient way to subtype the diseases and enable individualized treatment and management decisions. Moreover, detection of causative mutations establishes the mode of inheritance in the family which is essential for informed genetic counseling. For additional information regarding the conditions tested on this panel, please refer to the National Organization for Rare Disorders and / or GeneReviews. Availability 4 weeks Gene Set Description Genes in the Comprehensive Growth Disorders / Skeletal Dysplasias and Disorders Panel and their clinical significance Gene Associated phenotypes Inheritance ClinVar HGMD ACAN# Spondyloepimetaphyseal dysplasia, aggrecan type, AD/AR 20 56 Spondyloepiphyseal dysplasia, Kimberley