CD44 As a Hematopoietic Stem Cell Marker
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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. -
Protein Identities in Evs Isolated from U87-MG GBM Cells As Determined by NG LC-MS/MS
Protein identities in EVs isolated from U87-MG GBM cells as determined by NG LC-MS/MS. No. Accession Description Σ Coverage Σ# Proteins Σ# Unique Peptides Σ# Peptides Σ# PSMs # AAs MW [kDa] calc. pI 1 A8MS94 Putative golgin subfamily A member 2-like protein 5 OS=Homo sapiens PE=5 SV=2 - [GG2L5_HUMAN] 100 1 1 7 88 110 12,03704523 5,681152344 2 P60660 Myosin light polypeptide 6 OS=Homo sapiens GN=MYL6 PE=1 SV=2 - [MYL6_HUMAN] 100 3 5 17 173 151 16,91913397 4,652832031 3 Q6ZYL4 General transcription factor IIH subunit 5 OS=Homo sapiens GN=GTF2H5 PE=1 SV=1 - [TF2H5_HUMAN] 98,59 1 1 4 13 71 8,048185945 4,652832031 4 P60709 Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 - [ACTB_HUMAN] 97,6 5 5 35 917 375 41,70973209 5,478027344 5 P13489 Ribonuclease inhibitor OS=Homo sapiens GN=RNH1 PE=1 SV=2 - [RINI_HUMAN] 96,75 1 12 37 173 461 49,94108966 4,817871094 6 P09382 Galectin-1 OS=Homo sapiens GN=LGALS1 PE=1 SV=2 - [LEG1_HUMAN] 96,3 1 7 14 283 135 14,70620005 5,503417969 7 P60174 Triosephosphate isomerase OS=Homo sapiens GN=TPI1 PE=1 SV=3 - [TPIS_HUMAN] 95,1 3 16 25 375 286 30,77169764 5,922363281 8 P04406 Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 - [G3P_HUMAN] 94,63 2 13 31 509 335 36,03039959 8,455566406 9 Q15185 Prostaglandin E synthase 3 OS=Homo sapiens GN=PTGES3 PE=1 SV=1 - [TEBP_HUMAN] 93,13 1 5 12 74 160 18,68541938 4,538574219 10 P09417 Dihydropteridine reductase OS=Homo sapiens GN=QDPR PE=1 SV=2 - [DHPR_HUMAN] 93,03 1 1 17 69 244 25,77302971 7,371582031 11 P01911 HLA class II histocompatibility antigen, -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Laboratory Opening Hours Service Manager Mike Tinsley the Laboratory Is Staffed Monday - Friday, 8.00Am – 6.00Pm Excluding Bank IT Manager and Data Analyst Holidays
Version 6 The North East Thames Regional Genetics Service is based at Great Ormond Street Hospital. Cytogenetics Service Comprised of the Molecular and Cytogenetics laboratories along with Clinical Genetics we Level 5, York House, serve a population of approximately 5 million across North East London and Essex. 37 Queen Square London. WC1N 3BH. The service has a staff of approximately 80 including consultant clinical geneticists, state T +44 (0) 20 7829 8870 registered clinical scientists, genetic technologists and administrative support staff. The staff F +44 (0) 20 7813 8578 work closely with clinical colleagues and other healthcare scientists in pathology as well as with research staff at the Institute for Child Health. Jonathan Waters PhD FRCPath The laboratories provide an extensive range of diagnostic testing services and have Head of Service full CPA (UK) accreditation. The laboratory was inspected for UKAS accreditation Deborah Morrogh, under standard ISO15189 in May 2013, and is still waiting for a formal accreditation DipRCPath status response from UKAS. The service is a member of the South East of England Deputy Head Genetics Network (SEEGEN) and the United Kingdom Genetics Testing Network (UKGTN). Molecular The laboratory service processes over 26,500 samples per year and issues Genetics Service approximately 18,500 analytical reports. The service repertoire is regularly updated, but includes a regional service for postnatal and prenatal microarray, karyotyping Level 6, York House and a number of single gene disorders. Patients with developmental delay and/or 37 Queen Square dysmorphism, or patients with an anomalous ultrasound scan during pregnancy are London WC1N 3BH offered a 750K microarray analysis. -
The Role of ATP Binding Cassette Transporters in Tissue Defense and Organ Regeneration
0022-3565/09/3281-3–9$20.00 THE JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS Vol. 328, No. 1 Copyright © 2009 by The American Society for Pharmacology and Experimental Therapeutics 132225/3408067 JPET 328:3–9, 2009 Printed in U.S.A. Perspectives in Pharmacology The Role of ATP Binding Cassette Transporters in Tissue Defense and Organ Regeneration Miriam Huls, Frans G. M. Russel, and Rosalinde Masereeuw Department of Pharmacology and Toxicology, Radboud University Nijmegen Medical Centre, Nijmegen Centre for Molecular Life Sciences, The Netherlands Downloaded from Received July 22, 2008; accepted September 11, 2008 ABSTRACT ATP binding cassette (ABC) transporters are ATP-dependent tissues. The expression levels of BCRP and P-gp are tightly con- membrane proteins predominantly expressed in excretory organs, trolled and may determine the differentiation of SP cells toward jpet.aspetjournals.org such as the liver, intestine, blood-brain barrier, blood-testes bar- other more specialized cell types. Although their exact function in rier, placenta, and kidney. Here, they play an important role in these cells is still not clear, they may protect the cells by pumping the absorption, distribution, and excretion of drugs, xenobiotics, out toxicants and harmful products of oxidative stress. Transplan- and endogenous compounds. In addition, the ABC transporters, tation studies in animals revealed that bone marrow-derived SP P-glycoprotein (P-gp/ABCB1) and breast cancer resistance cells contribute to organ repopulation and tissue repair after dam- protein (BCRP/ABCG2), are highly expressed in a population of age, e.g., in liver and heart. The role of SP cells in regeneration of primitive stem cells: the side population (SP). -
Hematopoietic Stem Cell Marker Antibody Panel (ABCG2, CD34, Store At: Prominin1)
Product datasheet [email protected] ARG30135 Package: 1 pair Hematopoietic Stem Cell Marker Antibody Panel (ABCG2, CD34, Store at: Prominin1) Component Cat No Component Name Host clonality Reactivity Application Package ARG62820 anti-CD34 antibody Mouse mAb Hu Blocking, FACS, 50 μg [4H11(APG)] ICC/IF ARG54138 anti-Prominin-1 Mouse mAb Hu WB 50 μl antibody [6H10-F1-C11] ARG51346 anti-ABCG2 / CD338 Rabbit pAb Hu WB 50 μl antibody ARG65350 Goat anti-Mouse IgG Goat pAb ELISA, IHC, WB 50 μl antibody (HRP) ARG65351 Goat anti-Rabbit IgG Goat pAb Rb ELISA, IHC, WB 50 μl antibody (HRP) Summary Product Description Hematopoietic Stem Cells (HSCs) are the mesodermal progenitor cells that give rise to all types of blood cells including monocytes, macrophages, neutrophils, basophils, eosinophils, erythrocytes and other cells related to lymphoid lineage. It has been a challenge for researchers using HSCs because of the difficulties to isolate them from a large pool of cells because the number of HSCs in each organism is scarce and they appear very similar to lymphocytes morphologically. CD34, CD133 and ABCG2 are reliable marker for HSCs. Using the antibodies included in arigo’s Hematopoietic Stem Cell Panel, researchers can easily identify HSCs from the blood cell population. Sutherland, D.R. et al. (1992) J. Hematother.1:115. Yin, A.H. et al. (1997) Blood 90:5002. Gehling, U.M. et al. (2000) Blood 95:3106. Zhou, S. et al. (2001) Nat. Med. 7:1028. Kim, M. et al. (2002) Clin. Cancer Res. 8:22. www.arigobio.com 1/2 Images ARG51346 anti-ABCG2 / CD338 antibody WB validated image Western Blot: extract from HL-60 cells stained with anti-ABCG2 / CD338 antibody ARG51346 ARG54138 anti-Prominin-1 antibody [6H10-F1-C11] WB validated image Western Blot: Prominin-1 in CaCo2 cell lysate stained with Prominin-1 antibody [6H10-F1-C11] (ARG54138) (diluted in 1: 1000). -
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 -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Genetic Testing for Reproductive Carrier Screening and Prenatal Diagnosis
Medical Coverage Policy Effective Date ............................................. 7/15/2021 Next Review Date ......................................12/15/2021 Coverage Policy Number .................................. 0514 Genetic Testing for Reproductive Carrier Screening and Prenatal Diagnosis Table of Contents Related Coverage Resources Overview ........................................................ 2 Genetics Coverage Policy ............................................ 2 Genetic Testing Collateral File Genetic Counseling ...................................... 2 Recurrent Pregnancy Loss: Diagnosis and Treatment Germline Carrier Testing for Familial Infertility Services Disease .......................................................... 3 Preimplantation Genetic Testing of an Embryo........................................................... 4 Preimplantation Genetic Testing (PGT-A) .. 5 Sequencing–Based Non-Invasive Prenatal Testing (NIPT) ............................................... 5 Invasive Prenatal Testing of a Fetus .......... 6 Germline Mutation Reproductive Genetic Testing for Recurrent Pregnancy Loss ...... 6 Germline Mutation Reproductive Genetic Testing for Infertility ..................................... 7 General Background .................................... 8 Genetic Counseling ...................................... 8 Germline Genetic Testing ............................ 8 Carrier Testing for Familial Disease ........... 8 Preimplantation Genetic Testing of an Embryo.......................................................... -
Review Hearing Molecules: Contributions from Genetic Deafness
Cell. Mol. Life Sci. DOI 10.1007/s00018-007-6417-3 Cellular and Molecular Life Sciences Birkhuser Verlag, Basel, 2007 Review Hearing molecules: contributions from genetic deafness M.D. Eisena and D.K. Ryugoa,b Departments of aOtolaryngology-Head and Neck Surgery and bNeuroscience, Center for Hearing and Balance, Traylor 510, 720 Rutland Avenue, Baltimore, Maryland 21205 (USA), Fax: +4106144748, e-mail: [email protected] Received 20 September 2006; received after revision 24 October 2006; accepted 5 December 2006 Abstract. Considerable progress has been made over decade that address the function of the proteins the past decade identifying many genes associated implicated in genetic deafness and to place them in the with deafness. With the identification of these heredi- context of basic molecular mechanisms in hearing. tary deafness genes and the proteins they encode, The first part of this review highlights structural and molecular elements of basic hearing mechanisms functional features of the cochlea and auditory nerve. emerge. As functional studies of these molecular This background will provide a context for the second elements become available, we can put together the part, which addresses the molecular mechanisms pieces of the puzzle and begin to reach an under- underlying cochlear function as elucidated by genetic standing of the molecular mechanisms of hearing. The causes of deafness. goal of this review is to discuss studies over the past Keywords. Genetic deafness, auditory, cochlea, hearing, hair cell. Introduction auditory processing, whereas sensorineural’ hearing loss refers to malfunction of the electrochemical arm. Normal mammalian auditory function relies on two Conductive hearing loss typically results from middle broad categories of function – mechanical and electro- ear pathology – tympanic membrane perforation, chemical. -
Identification of Key Pathways and Genes in Dementia Via Integrated Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2021.04.18.440371; this version posted July 19, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Identification of Key Pathways and Genes in Dementia via Integrated Bioinformatics Analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karnataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2021.04.18.440371; this version posted July 19, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract To provide a better understanding of dementia at the molecular level, this study aimed to identify the genes and key pathways associated with dementia by using integrated bioinformatics analysis. Based on the expression profiling by high throughput sequencing dataset GSE153960 derived from the Gene Expression Omnibus (GEO), the differentially expressed genes (DEGs) between patients with dementia and healthy controls were identified. With DEGs, we performed a series of functional enrichment analyses. Then, a protein–protein interaction (PPI) network, modules, miRNA-hub gene regulatory network and TF-hub gene regulatory network was constructed, analyzed and visualized, with which the hub genes miRNAs and TFs nodes were screened out. Finally, validation of hub genes was performed by using receiver operating characteristic curve (ROC) analysis. -
Genetic Testing Policy Number: PG0041 ADVANTAGE | ELITE | HMO Last Review: 04/11/2021
Genetic Testing Policy Number: PG0041 ADVANTAGE | ELITE | HMO Last Review: 04/11/2021 INDIVIDUAL MARKETPLACE | PROMEDICA MEDICARE PLAN | PPO GUIDELINES This policy does not certify benefits or authorization of benefits, which is designated by each individual policyholder terms, conditions, exclusions and limitations contract. It does not constitute a contract or guarantee regarding coverage or reimbursement/payment. Paramount applies coding edits to all medical claims through coding logic software to evaluate the accuracy and adherence to accepted national standards. This medical policy is solely for guiding medical necessity and explaining correct procedure reporting used to assist in making coverage decisions and administering benefits. SCOPE X Professional X Facility DESCRIPTION A genetic test is the analysis of human DNA, RNA, chromosomes, proteins, or certain metabolites in order to detect alterations related to a heritable or acquired disorder. This can be accomplished by directly examining the DNA or RNA that makes up a gene (direct testing), looking at markers co-inherited with a disease-causing gene (linkage testing), assaying certain metabolites (biochemical testing), or examining the chromosomes (cytogenetic testing). Clinical genetic tests are those in which specimens are examined and results reported to the provider or patient for the purpose of diagnosis, prevention or treatment in the care of individual patients. Genetic testing is performed for a variety of intended uses: Diagnostic testing (to diagnose disease) Predictive