Hermansky-Pudlak Syndrome Genereview – Molecular Genetics
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Supplementary Methods
SUPPLEMENTARY METHODS Epilepsy cohorts Epilepsy cohorts contributing to the meta-analysis are detailed below. EPIGEN (Reported by – Chantal Depondt, Sanjay Sisodiya, Norman Delanty, Gianpiero Cavalleri, Erin Heinzen and David Goldstein) The EPIGEN study consisted of epilepsy cohorts from Beaumont Hospital Dublin (Ireland), Université Libre de Bruxelles (ULB, Belgium), Duke University Medical Centre (North Carolina, USA) and University College Hospital London (UK). Inclusion Criteria: Except for Duke, only adult (>16 years) patients with epilepsy were recruited. Exclusion Criteria: No specific exclusion criteria. Quality assurance: At all sites, subjects were recruited and phenotyped by experienced epilepsy specialists. At Duke, all cases underwent independent case-record review by an epilepsy nurse specialist, and ambiguous diagnoses were re-evaluated by a second epileptologist. If the diagnosis remained unclear, then the patient was excluded from the study. For London, all cases underwent review by independent epileptologists. For Brussels, study PI (Chantal Depondt) reviewed the classification of all cases by case-note review. For Dublin, no systematic quality assurance was undertaken. Site-specific details for each EPIGEN cohort as organized for the analysis are as follows: – EPIGEN-Dublin Patients were recruited from a specialized epilepsy clinic at Beaumont Hospital, Dublin, Ireland. Patients were mostly of Irish ethnicity. Patients were genotyped on the Illumina platform using a combination of chips (610-Quad+550+300v1/Omni1-Quad). – EPIGEN-Brussels Patients were recruited from epilepsy clinics at UZ Gasthuisberg, Katholieke Universiteit Leuven, and Hôpital Erasme, Université Libre de Bruxelles. Patients were largely of Belgian ethnicity. Patients were genotyped on the Illumina platform using a combination of chips (610-Quad/300 V1 & V2). -
A Network-Informed Analysis of SARS-Cov-2 and Hemophagocytic Lymphohistiocytosis Genes' Interactions Points to Neutrophil Extr
medRxiv preprint doi: https://doi.org/10.1101/2020.07.01.20144121; this version posted July 2, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . 1 A network-informed analysis of SARS-CoV-2 and hemophagocytic 2 lymphohistiocytosis genes’ interactions points to Neutrophil Extracellular Traps as 3 mediators of thromBosis in COVID-19 4 5 Jun Ding1, David Earl Hostallero2, Mohamed Reda El Khili2, Gregory Fonseca3, Simon 6 Millette4, Nuzha Noorah3, Myriam Guay-Belzile3, Jonathan Spicer5, Noriko Daneshtalab6, 7 Martin Sirois7, Karine Tremblay8, Amin Emad2,* and Simon Rousseau3,* 8 9 10 1Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA, 15204 11 12 2Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada. 13 14 3The Meakins-Christie Laboratories at the Research Institute of the McGill University Heath 15 Centre Research Institute, 1001 Boul. Décarie, Montréal, H4A 3J1, Canada. 16 17 4Goodman Cancer Research Centre, McGill University 18 19 5Division of Thoracic and Upper Gastrointestinal Surgery, McGill University Health Centre 20 Research Institute, 1001 Boul. Décarie, Montréal, H4A 3J1, Canada. 21 22 6School of Pharmacy, Memorial University of Newfoundland, 300 Prince Philip Drive, Health 23 Sciences Center, St. John’s, Newfoundland, Canada, A1B 3V6 24 25 7Montreal Heart Institute and Department of pharmacology and physiology, Faculty of medicine, 26 Université de Montréal. 27 28 8Pharmacology-physiology Department, Faculty of Medicine and Health Sciences, Université de 29 Sherbrooke, Centre intégré universitaire de santé et de services sociaux du Saguenay–Lac-Saint- 30 Jean (Chicoutimi University Hospital) Research Center, Saguenay, QC, Canada. -
New Approaches to Functional Process Discovery in HPV 16-Associated Cervical Cancer Cells by Gene Ontology
Cancer Research and Treatment 2003;35(4):304-313 New Approaches to Functional Process Discovery in HPV 16-Associated Cervical Cancer Cells by Gene Ontology Yong-Wan Kim, Ph.D.1, Min-Je Suh, M.S.1, Jin-Sik Bae, M.S.1, Su Mi Bae, M.S.1, Joo Hee Yoon, M.D.2, Soo Young Hur, M.D.2, Jae Hoon Kim, M.D.2, Duck Young Ro, M.D.2, Joon Mo Lee, M.D.2, Sung Eun Namkoong, M.D.2, Chong Kook Kim, Ph.D.3 and Woong Shick Ahn, M.D.2 1Catholic Research Institutes of Medical Science, 2Department of Obstetrics and Gynecology, College of Medicine, The Catholic University of Korea, Seoul; 3College of Pharmacy, Seoul National University, Seoul, Korea Purpose: This study utilized both mRNA differential significant genes of unknown function affected by the display and the Gene Ontology (GO) analysis to char- HPV-16-derived pathway. The GO analysis suggested that acterize the multiple interactions of a number of genes the cervical cancer cells underwent repression of the with gene expression profiles involved in the HPV-16- cancer-specific cell adhesive properties. Also, genes induced cervical carcinogenesis. belonging to DNA metabolism, such as DNA repair and Materials and Methods: mRNA differential displays, replication, were strongly down-regulated, whereas sig- with HPV-16 positive cervical cancer cell line (SiHa), and nificant increases were shown in the protein degradation normal human keratinocyte cell line (HaCaT) as a con- and synthesis. trol, were used. Each human gene has several biological Conclusion: The GO analysis can overcome the com- functions in the Gene Ontology; therefore, several func- plexity of the gene expression profile of the HPV-16- tions of each gene were chosen to establish a powerful associated pathway, identify several cancer-specific cel- cervical carcinogenesis pathway. -
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. -
Supplementary Figures 1-14 and Supplementary References
SUPPORTING INFORMATION Spatial Cross-Talk Between Oxidative Stress and DNA Replication in Human Fibroblasts Marko Radulovic,1,2 Noor O Baqader,1 Kai Stoeber,3† and Jasminka Godovac-Zimmermann1* 1Division of Medicine, University College London, Center for Nephrology, Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK. 2Insitute of Oncology and Radiology, Pasterova 14, 11000 Belgrade, Serbia 3Research Department of Pathology and UCL Cancer Institute, Rockefeller Building, University College London, University Street, London WC1E 6JJ, UK †Present Address: Shionogi Europe, 33 Kingsway, Holborn, London WC2B 6UF, UK TABLE OF CONTENTS 1. Supplementary Figures 1-14 and Supplementary References. Figure S-1. Network and joint spatial razor plot for 18 enzymes of glycolysis and the pentose phosphate shunt. Figure S-2. Correlation of SILAC ratios between OXS and OAC for proteins assigned to the SAME class. Figure S-3. Overlap matrix (r = 1) for groups of CORUM complexes containing 19 proteins of the 49-set. Figure S-4. Joint spatial razor plots for the Nop56p complex and FIB-associated complex involved in ribosome biogenesis. Figure S-5. Analysis of the response of emerin nuclear envelope complexes to OXS and OAC. Figure S-6. Joint spatial razor plots for the CCT protein folding complex, ATP synthase and V-Type ATPase. Figure S-7. Joint spatial razor plots showing changes in subcellular abundance and compartmental distribution for proteins annotated by GO to nucleocytoplasmic transport (GO:0006913). Figure S-8. Joint spatial razor plots showing changes in subcellular abundance and compartmental distribution for proteins annotated to endocytosis (GO:0006897). Figure S-9. Joint spatial razor plots for 401-set proteins annotated by GO to small GTPase mediated signal transduction (GO:0007264) and/or GTPase activity (GO:0003924). -
Chromosomal Rearrangements Are Commonly Post-Transcriptionally Attenuated in Cancer
bioRxiv preprint doi: https://doi.org/10.1101/093369; this version posted February 1, 2017. 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 4.0 International license. Chromosomal rearrangements are commonly post-transcriptionally attenuated in cancer 1 3 1 3, 4, 5 Emanuel Gonçalves , Athanassios Fragoulis , Luz Garcia-Alonso , Thorsten Cramer , 1,2# 1# Julio Saez-Rodriguez , Pedro Beltrao 1 European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB10 1SD, UK 2 RWTH Aachen University, Faculty of Medicine, Joint Research Centre for Computational Biomedicine, Aachen 52057, Germany 3 Molecular Tumor Biology, Department of General, Visceral and Transplantation Surgery, RWTH University Hospital, Pauwelsstraße 30, 52074 Aachen, Germany 4 NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands 5 ESCAM – European Surgery Center Aachen Maastricht, Germany and The Netherlands # co-last authors: [email protected]; [email protected] Running title: Chromosomal rearrangement attenuation in cancer Keywords: Cancer; Gene dosage; Proteomics; Copy-number variation; Protein complexes 1 bioRxiv preprint doi: https://doi.org/10.1101/093369; this version posted February 1, 2017. 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 4.0 International license. Abstract Chromosomal rearrangements, despite being detrimental, are ubiquitous in cancer and often act as driver events. -
Genetic and Pharmacological Approaches to Preventing Neurodegeneration
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2012 Genetic and Pharmacological Approaches to Preventing Neurodegeneration Marco Boccitto University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Neuroscience and Neurobiology Commons Recommended Citation Boccitto, Marco, "Genetic and Pharmacological Approaches to Preventing Neurodegeneration" (2012). Publicly Accessible Penn Dissertations. 494. https://repository.upenn.edu/edissertations/494 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/494 For more information, please contact [email protected]. Genetic and Pharmacological Approaches to Preventing Neurodegeneration Abstract The Insulin/Insulin-like Growth Factor 1 Signaling (IIS) pathway was first identified as a major modifier of aging in C.elegans. It has since become clear that the ability of this pathway to modify aging is phylogenetically conserved. Aging is a major risk factor for a variety of neurodegenerative diseases including the motor neuron disease, Amyotrophic Lateral Sclerosis (ALS). This raises the possibility that the IIS pathway might have therapeutic potential to modify the disease progression of ALS. In a C. elegans model of ALS we found that decreased IIS had a beneficial effect on ALS pathology in this model. This beneficial effect was dependent on activation of the transcription factor daf-16. To further validate IIS as a potential therapeutic target for treatment of ALS, manipulations of IIS in mammalian cells were investigated for neuroprotective activity. Genetic manipulations that increase the activity of the mammalian ortholog of daf-16, FOXO3, were found to be neuroprotective in a series of in vitro models of ALS toxicity. -
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 -
Pct.1 Pct.2 Adj P
Supplementary material Gut Supplementary Table 3. Marker genes in each malignant epithelial cells cluster Gene Log(Fold-change) Pct.1 Pct.2 Adj p- value Cluster LEFTY1 2.690865644 0.899 0.067 0.00E+00 C1 TFF2 2.186713379 0.855 0.36 0.00E+00 C1 CCT2 1.701377329 0.801 0.283 0.00E+00 C1 SPINK4 1.663911876 0.654 0.128 0.00E+00 C1 TFF3 1.632604627 0.882 0.43 0.00E+00 C1 CXCL17 1.616238928 0.659 0.079 0.00E+00 C1 LDHB 1.407263152 0.711 0.137 0.00E+00 C1 CLDN18 1.398880496 0.825 0.278 0.00E+00 C1 TESC 1.382790712 0.79 0.212 0.00E+00 C1 PDIA6 1.295630983 0.789 0.404 0.00E+00 C1 PSCA 1.263596359 0.922 0.241 0.00E+00 C1 SRD5A3 1.246561606 0.586 0.098 0.00E+00 C1 PDIA4 1.180717046 0.849 0.419 0.00E+00 C1 DPCR1 1.175754587 0.506 0.06 0.00E+00 C1 WBP5 1.163957541 0.734 0.106 0.00E+00 C1 LYZ 1.141614179 0.969 0.727 0.00E+00 C1 RAP1B 1.125989315 0.68 0.255 0.00E+00 C1 S100P 1.055862172 0.962 0.758 0.00E+00 C1 OS9 1.05478066 0.787 0.338 0.00E+00 C1 R3HDM2 1.031695733 0.742 0.167 0.00E+00 C1 B3GNT7 1.031632795 0.549 0.088 0.00E+00 C1 MORF4L1 1.023176967 0.768 0.409 0.00E+00 C1 TMEM165 0.999912261 0.649 0.196 0.00E+00 C1 GALNT3 0.995165397 0.705 0.254 0.00E+00 C1 TFF1 0.962929536 0.96 0.591 0.00E+00 C1 LY6D 0.94328396 0.484 0.007 0.00E+00 C1 MIA 0.895355862 0.623 0.103 0.00E+00 C1 MDM2 0.864864363 0.615 0.089 0.00E+00 C1 YEATS4 0.864197638 0.585 0.128 0.00E+00 C1 CPM 0.831257805 0.511 0.026 0.00E+00 C1 NGFRAP1 0.776686405 0.552 0.027 0.00E+00 C1 TCEAL8 0.747773737 0.549 0.064 0.00E+00 C1 SFTA2 0.710176136 0.52 0.066 0.00E+00 C1 FKBP10 0.567908872 0.427 -
Anti-AP3B1 / HPS2 Antibody (ARG59798)
Product datasheet [email protected] ARG59798 Package: 100 μl anti-AP3B1 / HPS2 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes AP3B1 / HPS2 Tested Reactivity Hu, Ms Tested Application WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name AP3B1 / HPS2 Antigen Species Human Immunogen Recombinant fusion protein corresponding to aa. 895-1094 of Human AP3B1 (NP_003655.3). Conjugation Un-conjugated Alternate Names Adaptor-related protein complex 3 subunit beta-1; AP-3 complex subunit beta-1; HPS; ADTB3A; Clathrin assembly protein complex 3 beta-1 large chain; Adaptor protein complex AP-3 subunit beta-1; ADTB3; HPS2; PE; Beta-3A-adaptin Application Instructions Application table Application Dilution WB 1:500 - 1:2000 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Positive Control Mouse liver and SW620 Calculated Mw 121 kDa Observed Size 132 kDa Properties Form Liquid Purification Affinity purified. Buffer PBS (pH 7.3), 0.02% Sodium azide and 50% Glycerol. Preservative 0.02% Sodium azide Stabilizer 50% Glycerol Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. www.arigobio.com 1/2 Note For laboratory research only, not for drug, diagnostic or other use. Bioinformation Gene Symbol AP3B1 Gene Full Name adaptor-related protein complex 3, beta 1 subunit Background This gene encodes a protein that may play a role in organelle biogenesis associated with melanosomes, platelet dense granules, and lysosomes. -
Molecular Diagnostic Requisition
BAYLOR MIRACA GENETICS LABORATORIES SHIP TO: Baylor Miraca Genetics Laboratories 2450 Holcombe, Grand Blvd. -Receiving Dock PHONE: 800-411-GENE | FAX: 713-798-2787 | www.bmgl.com Houston, TX 77021-2024 Phone: 713-798-6555 MOLECULAR DIAGNOSTIC REQUISITION PATIENT INFORMATION SAMPLE INFORMATION NAME: DATE OF COLLECTION: / / LAST NAME FIRST NAME MI MM DD YY HOSPITAL#: ACCESSION#: DATE OF BIRTH: / / GENDER (Please select one): FEMALE MALE MM DD YY SAMPLE TYPE (Please select one): ETHNIC BACKGROUND (Select all that apply): UNKNOWN BLOOD AFRICAN AMERICAN CORD BLOOD ASIAN SKELETAL MUSCLE ASHKENAZIC JEWISH MUSCLE EUROPEAN CAUCASIAN -OR- DNA (Specify Source): HISPANIC NATIVE AMERICAN INDIAN PLACE PATIENT STICKER HERE OTHER JEWISH OTHER (Specify): OTHER (Please specify): REPORTING INFORMATION ADDITIONAL PROFESSIONAL REPORT RECIPIENTS PHYSICIAN: NAME: INSTITUTION: PHONE: FAX: PHONE: FAX: NAME: EMAIL (INTERNATIONAL CLIENT REQUIREMENT): PHONE: FAX: INDICATION FOR STUDY SYMPTOMATIC (Summarize below.): *FAMILIAL MUTATION/VARIANT ANALYSIS: COMPLETE ALL FIELDS BELOW AND ATTACH THE PROBAND'S REPORT. GENE NAME: ASYMPTOMATIC/POSITIVE FAMILY HISTORY: (ATTACH FAMILY HISTORY) MUTATION/UNCLASSIFIED VARIANT: RELATIONSHIP TO PROBAND: THIS INDIVIDUAL IS CURRENTLY: SYMPTOMATIC ASYMPTOMATIC *If family mutation is known, complete the FAMILIAL MUTATION/ VARIANT ANALYSIS section. NAME OF PROBAND: ASYMPTOMATIC/POPULATION SCREENING RELATIONSHIP TO PROBAND: OTHER (Specify clinical findings below): BMGL LAB#: A COPY OF ORIGINAL RESULTS ATTACHED IF PROBAND TESTING WAS PERFORMED AT ANOTHER LAB, CALL TO DISCUSS PRIOR TO SENDING SAMPLE. A POSITIVE CONTROL MAY BE REQUIRED IN SOME CASES. REQUIRED: NEW YORK STATE PHYSICIAN SIGNATURE OF CONSENT I certify that the patient specified above and/or their legal guardian has been informed of the benefits, risks, and limitations of the laboratory test(s) requested. -
Heřmanský–Pudlák Syndrome: a Case Report
Int J Case Rep Images 2018;9:100886Z01SB2018. Basu et al. 1 www.ijcasereportsandimages.com CASE REPORT PEER REVIEWED | OPEN ACCESS Heřmanský–Pudlák syndrome: A case report Sonali Someek Basu, Pranav Kumar ABSTRACT care, rehabilitation and multidisciplinary team approach. Heřmanský–Pudlák syndrome (HPS) is hereditary multi system, a rare autosomal Keywords: Gene and data base, Heřmanský– recessive disorder with heterogeneous Pudlák syndrome, Multiple skin cancer, Oculocu- locus characterized by tyrosine positive taneous albinism, Pulmonary fibrosis oculocutaneous albinism, congenital nystagmus, platelet storage pool deficiency - How to cite this article hemorrhagic bleeding tendency and systemic manifestations due to lysosomal accumulation Basu SS, Kumar P. Heřmanský–Pudlák of ceroid lipofuscin in different organs includes syndrome: A case report. Int J Case Rep Images pulmonary fibrosis and granulomatous 2018;9:100886Z01SB2018. enteropathy colitis and renal failure. Depending upon the organ system symptoms and signs, the presentation of HPS can be varied and diagnosis Article ID: 100886Z01SB2018 can be challenging. The most frequently used criteria for diagnosis of HPS as per National Organization of Rare Disease (NORD) revised ********* 2015 are albinism and prolong bleeding. doi: 10.5348/100886Z01SB2018CR Symptoms due to ceroid lipofuscin deposition in lungs, colon, heart and kidneys can occur. Differentiating this condition from other diseases that cause oculocutaneous albinism INTRODUCTION such as ocular albinism, Griscelli syndrome and Chédiak–Higashi syndrome by presence of Heřmanský–Pudlák syndrome (HPS), a rare neurological symptoms and frequent bacterial hereditary disease caused by autosomal recessive infections due to immunodeficiency and analysis inheritance, was first described by Hermansky and of peripheral blood smear with prolong bleeding Pudlakin 1959 [1].