Clinical and Molecular Features of Three Patients with Congenital
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The Diversity of Dolichol-Linked Precursors to Asn-Linked Glycans Likely Results from Secondary Loss of Sets of Glycosyltransferases
The diversity of dolichol-linked precursors to Asn-linked glycans likely results from secondary loss of sets of glycosyltransferases John Samuelson*†, Sulagna Banerjee*, Paula Magnelli*, Jike Cui*, Daniel J. Kelleher‡, Reid Gilmore‡, and Phillips W. Robbins* *Department of Molecular and Cell Biology, Boston University Goldman School of Dental Medicine, 715 Albany Street, Boston, MA 02118-2932; and ‡Department of Biochemistry and Molecular Biology, University of Massachusetts Medical School, Worcester, MA 01665-0103 Contributed by Phillips W. Robbins, December 17, 2004 The vast majority of eukaryotes (fungi, plants, animals, slime mold, to N-glycans of improperly folded proteins, which are retained in and euglena) synthesize Asn-linked glycans (Alg) by means of a the ER by conserved glucose-binding lectins (calnexin͞calreticulin) lipid-linked precursor dolichol-PP-GlcNAc2Man9Glc3. Knowledge of (13). Although the Alg glycosyltransferases in the lumen of ER this pathway is important because defects in the glycosyltrans- appear to be eukaryote-specific, archaea and Campylobacter sp. ferases (Alg1–Alg12 and others not yet identified), which make glycosylate the sequon Asn and͞or contain glycosyltransferases dolichol-PP-glycans, lead to numerous congenital disorders of with domains like those of Alg1, Alg2, Alg7, and STT3 (1, 14–16). glycosylation. Here we used bioinformatic and experimental Protists, unicellular eukaryotes, suggest three notable exceptions methods to characterize Alg glycosyltransferases and dolichol- to the N-linked glycosylation path described in yeast and animals PP-glycans of diverse protists, including many human patho- (17). First, the kinetoplastid Trypanosoma cruzi (cause of Chagas gens, with the following major conclusions. First, it is demon- myocarditis), fails to glucosylate the dolichol-PP-linked precursor strated that common ancestry is a useful method of predicting and so makes dolichol-PP-GlcNAc2Man9 (18). -
Physical Interactions Between the Alg1, Alg2, and Alg11 Mannosyltransferases of the Endoplasmic Reticulum
Glycobiology vol. 14 no. 6 pp. 559±570, 2004 DOI: 10.1093/glycob/cwh072 Advance Access publication on March 24, 2004 Physical interactions between the Alg1, Alg2, and Alg11 mannosyltransferases of the endoplasmic reticulum Xiao-Dong Gao2, Akiko Nishikawa1, and Neta Dean1 begins on the cytosolic face of the ER, where seven sugars (two N-acetylglucoseamines and five mannoses) are added 1Department of Biochemistry and Cell Biology, Institute for Cell and Developmental Biology, State University of New York, Stony Brook, sequentially to dolichyl phosphate on the outer leaflet of NY 11794-5215, and 2Research Center for Glycoscience, National the ER, using nucleotide sugar donors (Abeijon and Institute of Advanced Industrial Science and Technology, Tsukuba Hirschberg, 1992; Perez and Hirschberg, 1986; Snider and Downloaded from https://academic.oup.com/glycob/article/14/6/559/638968 by guest on 30 September 2021 Central 6, 1-1 Higashi, Tsukuba 305-8566, Japan Rogers, 1984). After a ``flipping'' or translocation step, the Received on January 26, 2004; revised on March 2, 2004; accepted on last seven sugars (four mannoses and three glucoses) are March 2, 2004 added within the lumen of the ER, using dolichol-linked sugar donors (Burda and Aebi, 1999). Once assembled, the The early steps of N-linked glycosylation involve the synthesis oligosaccharide is transferred from the lipid to nascent of a lipid-linked oligosaccharide, Glc3Man9GlcNAc2-PP- protein in a reaction catalyzed by oligosaccharyltransferase. dolichol, on the endoplasmic reticulum (ER) membrane. After removal of terminal glucoses and a single mannose, Prior to its lumenal translocation and transfer to nascent nascent glycoproteins bearing the N-linked Man8GlcNAc2 glycoproteins, mannosylation of Man5GlcNAc2-PP-dolichol core can exit the ER to the Golgi, where this core may is catalyzed by the Alg1, Alg2, and Alg11 mannosyltrans- undergo further carbohydrate modifications. -
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. -
Yeast Genome Gazetteer P35-65
gazetteer Metabolism 35 tRNA modification mitochondrial transport amino-acid metabolism other tRNA-transcription activities vesicular transport (Golgi network, etc.) nitrogen and sulphur metabolism mRNA synthesis peroxisomal transport nucleotide metabolism mRNA processing (splicing) vacuolar transport phosphate metabolism mRNA processing (5’-end, 3’-end processing extracellular transport carbohydrate metabolism and mRNA degradation) cellular import lipid, fatty-acid and sterol metabolism other mRNA-transcription activities other intracellular-transport activities biosynthesis of vitamins, cofactors and RNA transport prosthetic groups other transcription activities Cellular organization and biogenesis 54 ionic homeostasis organization and biogenesis of cell wall and Protein synthesis 48 plasma membrane Energy 40 ribosomal proteins organization and biogenesis of glycolysis translation (initiation,elongation and cytoskeleton gluconeogenesis termination) organization and biogenesis of endoplasmic pentose-phosphate pathway translational control reticulum and Golgi tricarboxylic-acid pathway tRNA synthetases organization and biogenesis of chromosome respiration other protein-synthesis activities structure fermentation mitochondrial organization and biogenesis metabolism of energy reserves (glycogen Protein destination 49 peroxisomal organization and biogenesis and trehalose) protein folding and stabilization endosomal organization and biogenesis other energy-generation activities protein targeting, sorting and translocation vacuolar and lysosomal -
Congenital Disorders of Glycosylation from a Neurological Perspective
brain sciences Review Congenital Disorders of Glycosylation from a Neurological Perspective Justyna Paprocka 1,* , Aleksandra Jezela-Stanek 2 , Anna Tylki-Szyma´nska 3 and Stephanie Grunewald 4 1 Department of Pediatric Neurology, Faculty of Medical Science in Katowice, Medical University of Silesia, 40-752 Katowice, Poland 2 Department of Genetics and Clinical Immunology, National Institute of Tuberculosis and Lung Diseases, 01-138 Warsaw, Poland; [email protected] 3 Department of Pediatrics, Nutrition and Metabolic Diseases, The Children’s Memorial Health Institute, W 04-730 Warsaw, Poland; [email protected] 4 NIHR Biomedical Research Center (BRC), Metabolic Unit, Great Ormond Street Hospital and Institute of Child Health, University College London, London SE1 9RT, UK; [email protected] * Correspondence: [email protected]; Tel.: +48-606-415-888 Abstract: Most plasma proteins, cell membrane proteins and other proteins are glycoproteins with sugar chains attached to the polypeptide-glycans. Glycosylation is the main element of the post- translational transformation of most human proteins. Since glycosylation processes are necessary for many different biological processes, patients present a diverse spectrum of phenotypes and severity of symptoms. The most frequently observed neurological symptoms in congenital disorders of glycosylation (CDG) are: epilepsy, intellectual disability, myopathies, neuropathies and stroke-like episodes. Epilepsy is seen in many CDG subtypes and particularly present in the case of mutations -
NICU Gene List Generator.Xlsx
Neonatal Crisis Sequencing Panel Gene List Genes: A2ML1 - B3GLCT A2ML1 ADAMTS9 ALG1 ARHGEF15 AAAS ADAMTSL2 ALG11 ARHGEF9 AARS1 ADAR ALG12 ARID1A AARS2 ADARB1 ALG13 ARID1B ABAT ADCY6 ALG14 ARID2 ABCA12 ADD3 ALG2 ARL13B ABCA3 ADGRG1 ALG3 ARL6 ABCA4 ADGRV1 ALG6 ARMC9 ABCB11 ADK ALG8 ARPC1B ABCB4 ADNP ALG9 ARSA ABCC6 ADPRS ALK ARSL ABCC8 ADSL ALMS1 ARX ABCC9 AEBP1 ALOX12B ASAH1 ABCD1 AFF3 ALOXE3 ASCC1 ABCD3 AFF4 ALPK3 ASH1L ABCD4 AFG3L2 ALPL ASL ABHD5 AGA ALS2 ASNS ACAD8 AGK ALX3 ASPA ACAD9 AGL ALX4 ASPM ACADM AGPS AMELX ASS1 ACADS AGRN AMER1 ASXL1 ACADSB AGT AMH ASXL3 ACADVL AGTPBP1 AMHR2 ATAD1 ACAN AGTR1 AMN ATL1 ACAT1 AGXT AMPD2 ATM ACE AHCY AMT ATP1A1 ACO2 AHDC1 ANK1 ATP1A2 ACOX1 AHI1 ANK2 ATP1A3 ACP5 AIFM1 ANKH ATP2A1 ACSF3 AIMP1 ANKLE2 ATP5F1A ACTA1 AIMP2 ANKRD11 ATP5F1D ACTA2 AIRE ANKRD26 ATP5F1E ACTB AKAP9 ANTXR2 ATP6V0A2 ACTC1 AKR1D1 AP1S2 ATP6V1B1 ACTG1 AKT2 AP2S1 ATP7A ACTG2 AKT3 AP3B1 ATP8A2 ACTL6B ALAS2 AP3B2 ATP8B1 ACTN1 ALB AP4B1 ATPAF2 ACTN2 ALDH18A1 AP4M1 ATR ACTN4 ALDH1A3 AP4S1 ATRX ACVR1 ALDH3A2 APC AUH ACVRL1 ALDH4A1 APTX AVPR2 ACY1 ALDH5A1 AR B3GALNT2 ADA ALDH6A1 ARFGEF2 B3GALT6 ADAMTS13 ALDH7A1 ARG1 B3GAT3 ADAMTS2 ALDOB ARHGAP31 B3GLCT Updated: 03/15/2021; v.3.6 1 Neonatal Crisis Sequencing Panel Gene List Genes: B4GALT1 - COL11A2 B4GALT1 C1QBP CD3G CHKB B4GALT7 C3 CD40LG CHMP1A B4GAT1 CA2 CD59 CHRNA1 B9D1 CA5A CD70 CHRNB1 B9D2 CACNA1A CD96 CHRND BAAT CACNA1C CDAN1 CHRNE BBIP1 CACNA1D CDC42 CHRNG BBS1 CACNA1E CDH1 CHST14 BBS10 CACNA1F CDH2 CHST3 BBS12 CACNA1G CDK10 CHUK BBS2 CACNA2D2 CDK13 CILK1 BBS4 CACNB2 CDK5RAP2 -
We Consider the Ordinary Differential Equation Model of the Metal Rolling
We consider the ordinary differential equation model of the metal rolling process defined in K. Gal- kowski, E. Rogers, W. Paszke and D. H. Owens, Linear repetitive process control theory applied to a physical example, Int. J. Appl. Comput. Sci., 13 (2003), 87-99. In order to do that, we firstly define the Ore algebra formed by the derivative D w.r.t. time t and by the shift operator S acting on the discrete variable k which denotes the pass number. > Alg1 := DefineOreAlgebra(diff=[D,t], dual_shift=[S,k], polynom=[t,k], > comm=[lambda,lambda1,lambda2,M]): The system matrix is defined by: > R1 := evalm([[D^2+lambda/M-(lambda/lambda1)*D^2*S-(lambda/M)*S, > lambda/(M*lambda2)]]); λ λ D2 S λ S λ R1 := D2 + − − M λ1 M M λ2 Then, the system is defined by the following equation > ApplyMatrix(R1, [y(t,k), FM(t,k)], Alg1)[1,1]=0; (λ y(t, k) λ1 λ2 − λ y(t, k − 1) λ1 λ2 + D1, 1(y)(t, k) M λ1 λ2 − λ D1, 1(y)(t, k − 1) M λ2 + λ FM(t, k) λ1)/(M λ1 λ2) = 0 which corresponds to (4) of the previously quoted paper. Let us check the structural properties of the previous system (e.g., controllability, parametrizability, flatness). > R1_adj := Involution(R1, Alg1): It is known that the Alg1 -module associated with the matrix R1 is torsion-free iff the first extension module of the Alg1 -module associated with R1 adj with values in Alg1 is 0. We compute this extension module by using Exti: > Ext1 := Exti(R1_adj, Alg1, 1); Ext1 := [ 1 , M λ D2 S λ2 − M D2 λ1 λ2 + λ S λ1 λ2 − λ λ1 λ2 −λ λ1 , −λ λ1 ] M D2 λ1 λ2 − M λ D2 S λ2 + λ λ1 λ2 − λ S λ1 λ2 As the first matrix Ext1 [1] is an identity matrix, we obtain that the Alg1 -module associated with R1 is torsion-free, and thus, the corresponding system is controllable and parametrizable. -
Translocation of Lipid-Linked Oligosaccharides Across the ER
letters to nature 30. James, P., Halladay, J. & Craig, E. A. Genomic libraries and a host strain designed for highly ef®cient transporters in addition to a fatty-acid transporter have been two-hybrid selection in yeast. Genetics 144, 1425±1436 (1996). implicated in lipid translocation at the plasma membrane; however, Supplementary Information accompanies the paper on Nature's website translocators involved in membrane biogenesis have yet to be (http://www.nature.com). identi®ed5,6. One of the most striking examples of lipid ¯ipping is the translocation of the Man5GlcNAc2-PP-Dol intermediate from Acknowledgements the cytosolic side of the ER membrane to the lumen before the 7,8 We acknowledge C. R. Bezzina for genetic analysis of A1924T, C. A. Conrath for completion of the biosynthesis of Glc3Man9GlcNAc2-PP-Dol subcloning A1924T, and A. George for critique. H.L.T. was supported by a fellowship from (Fig. 1). In this case, a very large and polar oligosaccharide the Royal Netherlands Academy of Arts and Sciences. Additional ®nancial support was provided by the Interuniversity Cardiology Institute Netherlands project 27 (H.L.T. and moiety must be translocated across the hydrophobic interior of A.A.M.W.), the Dutch Heart Foundation NHS (A.A.M.W.), and National Institutes of the bilayer. Health grants (M.E.A. and J.R.B.). There are two lines of evidence suggesting that Man5GlcNAc2-PP- Dol is the intermediate that is translocated across the ER Competing interests statement membrane7. The ®rst is based on monosaccharide donors. Bio- The authors declare that they have no competing ®nancial interests. -
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. -
The Microbiota-Produced N-Formyl Peptide Fmlf Promotes Obesity-Induced Glucose
Page 1 of 230 Diabetes Title: The microbiota-produced N-formyl peptide fMLF promotes obesity-induced glucose intolerance Joshua Wollam1, Matthew Riopel1, Yong-Jiang Xu1,2, Andrew M. F. Johnson1, Jachelle M. Ofrecio1, Wei Ying1, Dalila El Ouarrat1, Luisa S. Chan3, Andrew W. Han3, Nadir A. Mahmood3, Caitlin N. Ryan3, Yun Sok Lee1, Jeramie D. Watrous1,2, Mahendra D. Chordia4, Dongfeng Pan4, Mohit Jain1,2, Jerrold M. Olefsky1 * Affiliations: 1 Division of Endocrinology & Metabolism, Department of Medicine, University of California, San Diego, La Jolla, California, USA. 2 Department of Pharmacology, University of California, San Diego, La Jolla, California, USA. 3 Second Genome, Inc., South San Francisco, California, USA. 4 Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA. * Correspondence to: 858-534-2230, [email protected] Word Count: 4749 Figures: 6 Supplemental Figures: 11 Supplemental Tables: 5 1 Diabetes Publish Ahead of Print, published online April 22, 2019 Diabetes Page 2 of 230 ABSTRACT The composition of the gastrointestinal (GI) microbiota and associated metabolites changes dramatically with diet and the development of obesity. Although many correlations have been described, specific mechanistic links between these changes and glucose homeostasis remain to be defined. Here we show that blood and intestinal levels of the microbiota-produced N-formyl peptide, formyl-methionyl-leucyl-phenylalanine (fMLF), are elevated in high fat diet (HFD)- induced obese mice. Genetic or pharmacological inhibition of the N-formyl peptide receptor Fpr1 leads to increased insulin levels and improved glucose tolerance, dependent upon glucagon- like peptide-1 (GLP-1). Obese Fpr1-knockout (Fpr1-KO) mice also display an altered microbiome, exemplifying the dynamic relationship between host metabolism and microbiota. -
Associated with Low Dehydrodolichol Diphosphate Synthase (DHDDS) Activity S
Sabry et al. Orphanet Journal of Rare Diseases (2016) 11:84 DOI 10.1186/s13023-016-0468-1 RESEARCH Open Access A case of fatal Type I congenital disorders of glycosylation (CDG I) associated with low dehydrodolichol diphosphate synthase (DHDDS) activity S. Sabry1,2,3,4, S. Vuillaumier-Barrot1,2,5, E. Mintet1,2, M. Fasseu1,2, V. Valayannopoulos6, D. Héron7,8, N. Dorison8, C. Mignot7,8,9, N. Seta5,10, I. Chantret1,2, T. Dupré1,2,5 and S. E. H. Moore1,2* Abstract Background: Type I congenital disorders of glycosylation (CDG-I) are mostly complex multisystemic diseases associated with hypoglycosylated serum glycoproteins. A subgroup harbour mutations in genes necessary for the biosynthesis of the dolichol-linked oligosaccharide (DLO) precursor that is essential for protein N-glycosylation. Here, our objective was to identify the molecular origins of disease in such a CDG-Ix patient presenting with axial hypotonia, peripheral hypertonia, enlarged liver, micropenis, cryptorchidism and sensorineural deafness associated with hypo glycosylated serum glycoproteins. Results: Targeted sequencing of DNA revealed a splice site mutation in intron 5 and a non-sense mutation in exon 4 of the dehydrodolichol diphosphate synthase gene (DHDDS). Skin biopsy fibroblasts derived from the patient revealed ~20 % residual DHDDS mRNA, ~35 % residual DHDDS activity, reduced dolichol-phosphate, truncated DLO and N-glycans, and an increased ratio of [2-3H]mannose labeled glycoprotein to [2-3H]mannose labeled DLO. Predicted truncated DHDDS transcripts did not complement rer2-deficient yeast. SiRNA-mediated down-regulation of DHDDS in human hepatocellular carcinoma HepG2 cells largely mirrored the biochemical phenotype of cells from the patient. -
Viruses Like Sugars: How to Assess Glycan Involvement in Viral Attachment
microorganisms Review Viruses Like Sugars: How to Assess Glycan Involvement in Viral Attachment Gregory Mathez and Valeria Cagno * Institute of Microbiology, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland; [email protected] * Correspondence: [email protected] Abstract: The first step of viral infection requires interaction with the host cell. Before finding the specific receptor that triggers entry, the majority of viruses interact with the glycocalyx. Identifying the carbohydrates that are specifically recognized by different viruses is important both for assessing the cellular tropism and for identifying new antiviral targets. Advances in the tools available for studying glycan–protein interactions have made it possible to identify them more rapidly; however, it is important to recognize the limitations of these methods in order to draw relevant conclusions. Here, we review different techniques: genetic screening, glycan arrays, enzymatic and pharmacological approaches, and surface plasmon resonance. We then detail the glycan interactions of enterovirus D68 and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), highlighting the aspects that need further clarification. Keywords: attachment receptor; viruses; glycan; sialic acid; heparan sulfate; HBGA; SARS-CoV-2; EV-D68 Citation: Mathez, G.; Cagno, V. Viruses Like Sugars: How to Assess 1. Introduction Glycan Involvement in Viral This review focuses on methods for assessing the involvement of carbohydrates in Attachment. Microorganisms 2021, 9, viral attachment and entry into the host cell. Viruses often bind to entry receptors that are 1238. https://doi.org/10.3390/ not abundant on the cell surface; to increase their chances of finding them, they initially microorganisms9061238 bind to attachment receptors comprising carbohydrates that are more widely expressed.