Phosphatase Regulation by the Ovarian Oncoprotein URI1
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PLATFORM ABSTRACTS Abstract Abstract Numbers Numbers Tuesday, November 6 41
American Society of Human Genetics 62nd Annual Meeting November 6–10, 2012 San Francisco, California PLATFORM ABSTRACTS Abstract Abstract Numbers Numbers Tuesday, November 6 41. Genes Underlying Neurological Disease Room 134 #196–#204 2. 4:30–6:30pm: Plenary Abstract 42. Cancer Genetics III: Common Presentations Hall D #1–#6 Variants Ballroom 104 #205–#213 43. Genetics of Craniofacial and Wednesday, November 7 Musculoskeletal Disorders Room 124 #214–#222 10:30am–12:45 pm: Concurrent Platform Session A (11–19): 44. Tools for Phenotype Analysis Room 132 #223–#231 11. Genetics of Autism Spectrum 45. Therapy of Genetic Disorders Room 130 #232–#240 Disorders Hall D #7–#15 46. Pharmacogenetics: From Discovery 12. New Methods for Big Data Ballroom 103 #16–#24 to Implementation Room 123 #241–#249 13. Cancer Genetics I: Rare Variants Room 135 #25–#33 14. Quantitation and Measurement of Friday, November 9 Regulatory Oversight by the Cell Room 134 #34–#42 8:00am–10:15am: Concurrent Platform Session D (47–55): 15. New Loci for Obesity, Diabetes, and 47. Structural and Regulatory Genomic Related Traits Ballroom 104 #43–#51 Variation Hall D #250–#258 16. Neuromuscular Disease and 48. Neuropsychiatric Disorders Ballroom 103 #259–#267 Deafness Room 124 #52–#60 49. Common Variants, Rare Variants, 17. Chromosomes and Disease Room 132 #61–#69 and Everything in-Between Room 135 #268–#276 18. Prenatal and Perinatal Genetics Room 130 #70–#78 50. Population Genetics Genome-Wide Room 134 #277–#285 19. Vascular and Congenital Heart 51. Endless Forms Most Beautiful: Disease Room 123 #79–#87 Variant Discovery in Genomic Data Ballroom 104 #286–#294 52. -
Evaluation of the Role of STAP1 in Familial Hypercholesterolemia Magdalena Danyel1,2, Claus-Eric Ott 2, Thomas Grenkowitz1, Bastian Salewsky1, Andrew A
www.nature.com/scientificreports OPEN Evaluation of the role of STAP1 in Familial Hypercholesterolemia Magdalena Danyel1,2, Claus-Eric Ott 2, Thomas Grenkowitz1, Bastian Salewsky1, Andrew A. Hicks 3, Christian Fuchsberger3, Elisabeth Steinhagen-Thiessen1, 1 1 1,4 Received: 17 January 2019 Thomas Bobbert , Ursula Kassner & Ilja Demuth Accepted: 2 August 2019 Familial hypercholesterolemia (FH) is characterised by elevated serum levels of low-density lipoprotein Published: xx xx xxxx cholesterol (LDL-C) and a substantial risk for cardiovascular disease. The autosomal-dominant FH is mostly caused by mutations in LDLR (low density lipoprotein receptor), APOB (apolipoprotein B), and PCSK9 (proprotein convertase subtilisin/kexin). Recently, STAP1 has been suggested as a fourth causative gene. We analyzed STAP1 in 75 hypercholesterolemic patients from Berlin, Germany, who are negative for mutations in canonical FH genes. In 10 patients with negative family history, we additionally screened for disease causing variants in LDLRAP1 (low density lipoprotein receptor adaptor protein 1), associated with autosomal-recessive hypercholesterolemia. We identifed one STAP1 variant predicted to be disease causing. To evaluate association of serum lipid levels and STAP1 carrier status, we analyzed 20 individuals from a population based cohort, the Cooperative Health Research in South Tyrol (CHRIS) study, carrying rare STAP1 variants. Out of the same cohort we randomly selected 100 non-carriers as control. In the Berlin FH cohort STAP1 variants were rare. In the CHRIS cohort, we obtained no statistically signifcant diferences between carriers and non-carriers of STAP1 variants with respect to lipid traits. Until such an association has been verifed in more individuals with genetic variants in STAP1, we cannot estimate whether STAP1 generally is a causative gene for FH. -
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. -
(12) United States Patent (10) Patent No.: US 8,603,824 B2 Ramseier Et Al
USOO8603824B2 (12) United States Patent (10) Patent No.: US 8,603,824 B2 Ramseier et al. (45) Date of Patent: Dec. 10, 2013 (54) PROCESS FOR IMPROVED PROTEIN 5,399,684 A 3, 1995 Davie et al. EXPRESSION BY STRAIN ENGINEERING 5,418, 155 A 5/1995 Cormier et al. 5,441,934 A 8/1995 Krapcho et al. (75) Inventors: Thomas M. Ramseier, Poway, CA 5,508,192 A * 4/1996 Georgiou et al. .......... 435/252.3 (US); Hongfan Jin, San Diego, CA 5,527,883 A 6/1996 Thompson et al. (US); Charles H. Squires, Poway, CA 5,558,862 A 9, 1996 Corbinet al. 5,559,015 A 9/1996 Capage et al. (US) 5,571,694 A 11/1996 Makoff et al. (73) Assignee: Pfenex, Inc., San Diego, CA (US) 5,595,898 A 1/1997 Robinson et al. 5,610,044 A 3, 1997 Lam et al. (*) Notice: Subject to any disclaimer, the term of this 5,621,074 A 4/1997 Bjorn et al. patent is extended or adjusted under 35 5,622,846 A 4/1997 Kiener et al. 5,641,671 A 6/1997 Bos et al. U.S.C. 154(b) by 471 days. 5,641,870 A 6/1997 Rinderknecht et al. 5,643,774 A 7/1997 Ligon et al. (21) Appl. No.: 11/189,375 5,662,898 A 9/1997 Ligon et al. (22) Filed: Jul. 26, 2005 5,677,127 A 10/1997 Hogan et al. 5,683,888 A 1 1/1997 Campbell (65) Prior Publication Data 5,686,282 A 11/1997 Lam et al. -
Redefining the Specificity of Phosphoinositide-Binding by Human
bioRxiv preprint doi: https://doi.org/10.1101/2020.06.20.163253; this version posted June 21, 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 4.0 International license. Redefining the specificity of phosphoinositide-binding by human PH domain-containing proteins Nilmani Singh1†, Adriana Reyes-Ordoñez1†, Michael A. Compagnone1, Jesus F. Moreno Castillo1, Benjamin J. Leslie2, Taekjip Ha2,3,4,5, Jie Chen1* 1Department of Cell & Developmental Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801; 2Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD 21205; 3Department of Biophysics, Johns Hopkins University, Baltimore, MD 21218; 4Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205; 5Howard Hughes Medical Institute, Baltimore, MD 21205, USA †These authors contributed equally to this work. *Correspondence: [email protected]. bioRxiv preprint doi: https://doi.org/10.1101/2020.06.20.163253; this version posted June 21, 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 4.0 International license. ABSTRACT Pleckstrin homology (PH) domains are presumed to bind phosphoinositides (PIPs), but specific interaction with and regulation by PIPs for most PH domain-containing proteins are unclear. Here we employed a single-molecule pulldown assay to study interactions of lipid vesicles with full-length proteins in mammalian whole cell lysates. -
A Review of the New HGNC Gene Family Resource Kristian a Gray1*, Ruth L Seal1, Susan Tweedie1, Mathew W Wright1,2 and Elspeth a Bruford1
Gray et al. Human Genomics (2016) 10:6 DOI 10.1186/s40246-016-0062-6 REVIEW Open Access A review of the new HGNC gene family resource Kristian A Gray1*, Ruth L Seal1, Susan Tweedie1, Mathew W Wright1,2 and Elspeth A Bruford1 Abstract The HUGO Gene Nomenclature Committee (HGNC) approves unique gene symbols and names for human loci. As well as naming genomic loci, we manually curate genes into family sets based on shared characteristics such as function, homology or phenotype. Each HGNC gene family has its own dedicated gene family report on our website, www.genenames.org. We have recently redesigned these reports to support the visualisation and browsing of complex relationships between families and to provide extra curated information such as family descriptions, protein domain graphics and gene family aliases. Here, we review how our gene families are curated and explain how to view, search and download the gene family data. Keywords: Gene families, Human, Gene symbols, HGNC, BioMart, Genes Background Therefore, we provide a service that is not available any- Grouping human genes together into gene families helps where else. the scientific and clinical community to quickly find re- The core task of the HGNC is to approve unique and lated sets of genes in order to plan studies and interpret informative gene symbols and names for human genes, existing data. There are many resources available that many of which have been requested directly by re- group genes together based on specific product func- searchers via the ‘Gene symbol request form’ [12] on our tions such as Carbohydrate-Active enZYmes Database website. -
Original Article URI1 Amplification in Uterine Carcinosarcoma Associates with Chemo-Resistance and Poor Prognosis
Am J Cancer Res 2015;5(7):2320-2329 www.ajcr.us /ISSN:2156-6976/ajcr0010111 Original Article URI1 amplification in uterine carcinosarcoma associates with chemo-resistance and poor prognosis Yu Wang1,2, Michael J Garabedian2, Susan K Logan1,3 Departments of 1Urology, 2Microbiology, 3Biochemistry and Molecular Pharmacology, New York University School of Medicine, 550 First Avenue, MSB235, New York, NY 10016, USA Received May 11, 2015; Accepted June 11, 2015; Epub June 15, 2015; Published July 1, 2015 Abstract: Uterine carcinosarcoma (UCS) is a rare type of cancer and accounts for 5% of uterine malignancies. However, UCS patients suffer a high prevalence of chemo-resistance and a very poor prognosis compared to uterine cancer patients. URI is a chaperone with functions in transcription. We analyzed the somatic URI1 copy number variation in 57 post-menopausal non-metastatic UCS patients in comparison to 363 uterine corpus endometrial carcinomas. URI1 amplification was detected in 40% (23/57) of primary UCS and 5.5% (20/363) of uterine carci- nomas. UCS patients with URI1 amplification exhibited 13% (3/23) tumor-free survival compared to 41% (14/34) in the absence of URI amplification (P=0.023).URI1 amplification (OR=6.54, P=0.027), weight (OR=1.068, P=0.024), hypertension (OR=3.35, P=0.044), and tumor stage (OR=2.358, P=0.018) associated with poor survival. Patients treated with hormone replacement therapy (OR=15.87, P=0.011) displayed enhanced overall survival. Combined radiation and chemotherapy improved patient survival (median survival=2043 days) compared to single (median survival=597 days) or no treatment (median survival=317 days, P=0.0016). -
1 Introduction + 1.1 Ruvbl1 and Ruvbl2 Are Highly Conserved AAA Proteins
1. Introduction 1 Introduction + 1.1 RuvBL1 and RuvBL2 are highly conserved AAA proteins RuvBL1 and its homolog RuvBL2 are ubiquitously expressed proteins (Bauer et al. 1998) that belong to the AAA+ family of ATPases (ATPases associated with diverse cellular activities) (Neuwald et al. 1999). This class of ATPases includes nucleic acid processing enzymes, chaperones and proteases. AAA+ proteins often form hexameric ring structures and contain conserved motifs for ATP binding and hydrolysis like the Walker A (GXXXXGKT) and Walker B box (DEXH/N) (Walker et al. 1982), the Arg-finger and sensor residues. All AAA+ proteins use ATP binding and hydrolysis to exert mechanical forces. ATP hydrolysis is clearly essential for the biological activity of RuvBL1 and RuvBL2 (Feng et al. 2003; Jonsson et al. 2004; Wood et al. 2000). RuvBL1 and RuvBL2, consisting of 456 and 463 amino acids respectively, are mainly localised in the nucleus, but also found in the cytosol (Holzmann et al. 1998; Kim et al. 2006; Lim et al. 2000; Salzer et al. 1999). RuvBL2 exhibits 43 % sequence identity and 65 % sequence similarity to RuvBL1. These proteins were originally identified by several unrelated approaches and are therefore known under diverse names (see Table 1). RuvBL1 RuvBL2 Explanation Reference TIP49 TIP48 TATA-binding protein (TBP)-interacting protein (Makino et al. 1998; Wood et al. 2000) TIP49a TIP49b TBP-interacting protein (Kanemaki et al. 1999) Pontin52 Reptin52 repressing Pontin52 (Bauer et al. 2000; Bauer et al. 1998) TAP54α TAP54β TIP60-associated protein (Ikura et al. 2000) TIH1 TIH2 TIP49a/b homolog (Lim et al. 2000) ECP54 ECP51 erythrocyte cytosolic protein (Salzer et al. -
The Role of PGAM5 in Regulating Viral Infection and the Pathogenesis of Intestinal Inflammation
The role of PGAM5 in regulating viral infection and the pathogenesis of intestinal inflammation Der Naturwissenschaftlichen Fakultät der Friedrich-Alexander-Universität Erlangen-Nürnberg zur Erlangung des Doktorgrades Dr. rer. nat. vorgelegt von Yuqiang Yu 1 Als Dissertation genehmigt von der Naturwissenschaftlichen Fakultät der Friedrich-Alexander-Universität Erlangen-Nürnberg Tag der mündlichen Prüfung: 1st July 2021 Vorsitzender des Promotionsorgans: Prof. Dr. Wolfgang Achtziger Gutachter/in: Prof. Dr. Falk Nimmerjahn Prof. Dr. Christoph Becker 2 Table of contents Table of contents 1 Abstract .................................................................................................................. 6 2 Zusammenfassung................................................................................................. 7 3 Introduction ............................................................................................................ 9 3.1 PGAM5 ............................................................................................................. 9 Structure and expression ........................................................................... 9 PGAM5 acts as a regulator in cell death pathways................................... 10 The role of PGAM5 in Wnt/β-catenin signaling pathway ........................... 14 PGAM5 in the NLRP3 inflammasome ...................................................... 14 PGAM5 activity is linked to multimerization .............................................. 15 3.2 Cellular defense -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Placenta-Derived Exosomes Continuously Increase in Maternal
Sarker et al. Journal of Translational Medicine 2014, 12:204 http://www.translational-medicine.com/content/12/1/204 RESEARCH Open Access Placenta-derived exosomes continuously increase in maternal circulation over the first trimester of pregnancy Suchismita Sarker1, Katherin Scholz-Romero1, Alejandra Perez2, Sebastian E Illanes1,2,3, Murray D Mitchell1, Gregory E Rice1,2 and Carlos Salomon1,2* Abstract Background: Human placenta releases specific nanovesicles (i.e. exosomes) into the maternal circulation during pregnancy, however, the presence of placenta-derived exosomes in maternal blood during early pregnancy remains to be established. The aim of this study was to characterise gestational age related changes in the concentration of placenta-derived exosomes during the first trimester of pregnancy (i.e. from 6 to 12 weeks) in plasma from women with normal pregnancies. Methods: A time-series experimental design was used to establish pregnancy-associated changes in maternal plasma exosome concentrations during the first trimester. A series of plasma were collected from normal healthy women (10 patients) at 6, 7, 8, 9, 10, 11 and 12 weeks of gestation (n = 70). We measured the stability of these vesicles by quantifying and observing their protein and miRNA contents after the freeze/thawing processes. Exosomes were isolated by differential and buoyant density centrifugation using a sucrose continuous gradient and characterised by their size distribution and morphology using the nanoparticles tracking analysis (NTA; Nanosight™) and electron microscopy (EM), respectively. The total number of exosomes and placenta-derived exosomes were determined by quantifying the immunoreactive exosomal marker, CD63 and a placenta-specific marker (Placental Alkaline Phosphatase PLAP). -
Appendix 2. Significantly Differentially Regulated Genes in Term Compared with Second Trimester Amniotic Fluid Supernatant
Appendix 2. Significantly Differentially Regulated Genes in Term Compared With Second Trimester Amniotic Fluid Supernatant Fold Change in term vs second trimester Amniotic Affymetrix Duplicate Fluid Probe ID probes Symbol Entrez Gene Name 1019.9 217059_at D MUC7 mucin 7, secreted 424.5 211735_x_at D SFTPC surfactant protein C 416.2 206835_at STATH statherin 363.4 214387_x_at D SFTPC surfactant protein C 295.5 205982_x_at D SFTPC surfactant protein C 288.7 1553454_at RPTN repetin solute carrier family 34 (sodium 251.3 204124_at SLC34A2 phosphate), member 2 238.9 206786_at HTN3 histatin 3 161.5 220191_at GKN1 gastrokine 1 152.7 223678_s_at D SFTPA2 surfactant protein A2 130.9 207430_s_at D MSMB microseminoprotein, beta- 99.0 214199_at SFTPD surfactant protein D major histocompatibility complex, class II, 96.5 210982_s_at D HLA-DRA DR alpha 96.5 221133_s_at D CLDN18 claudin 18 94.4 238222_at GKN2 gastrokine 2 93.7 1557961_s_at D LOC100127983 uncharacterized LOC100127983 93.1 229584_at LRRK2 leucine-rich repeat kinase 2 HOXD cluster antisense RNA 1 (non- 88.6 242042_s_at D HOXD-AS1 protein coding) 86.0 205569_at LAMP3 lysosomal-associated membrane protein 3 85.4 232698_at BPIFB2 BPI fold containing family B, member 2 84.4 205979_at SCGB2A1 secretoglobin, family 2A, member 1 84.3 230469_at RTKN2 rhotekin 2 82.2 204130_at HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 81.9 222242_s_at KLK5 kallikrein-related peptidase 5 77.0 237281_at AKAP14 A kinase (PRKA) anchor protein 14 76.7 1553602_at MUCL1 mucin-like 1 76.3 216359_at D MUC7 mucin 7,