Literature DB >> 32822483

Predictive modeling of complex ABO glycan phenotypes by lectin microarrays.

Waseem Q Anani1,2,3, Heather E Ashwood3,4, Anna Schmidt3, Robert T Burns3, Gregory A Denomme3,5, Karin M Hoffmeister3,4,6.   

Abstract

Serological classification of individuals as A, B, O, or AB is a mainstay of blood banking. ABO blood groups or ABH antigens, in addition to other surface glycans, act as unique red blood cell (RBC) signatures and direct immune responses. ABO subgroups present as weakened, mixed field, or unexpected reactivity with serological reagents, but specific designations remain complex. Lectins detect glycan motifs with some recognizing ABH antigens. We evaluated a 45-probe lectin microarray to rapidly analyze ABO blood groups and associated unique glycan signatures within complex biological samples on RBC surface glycoproteins. RBC membrane glycoproteins were prepared from donor RBCs, n = 20 for each blood group. ABO blood group was distinguishable by lectin array, including variations in ABH antigen expression not observed with serology. Principal component analysis highlighted broad ABO blood group clusters with unexpected high and low antigen expression and variations were confirmed with ABH antibody immunoblotting. Using a subset of lectins provided an accurate method to predict an ABO serological phenotype. Lectin microarray highlighted the importance of ABO localization on glycoproteins and glycolipids and pointed to increased glycocalyx complexity associated with the expression of A and B antigens including high mannose and branched polylactosamine. Thus, lectins identified subtle surface ABO blood group glycoprotein density variations not detected by routine serological methods. Transfusion services observe alterations in ABH expression during malignancy, and ABO incompatible solid organ transplantation is not without risk of rejection. The presented methods may identify subtle but clinically significant ABO blood group differences for transfusion and transplantation.
© 2020 by The American Society of Hematology.

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Year:  2020        PMID: 32822483      PMCID: PMC7448608          DOI: 10.1182/bloodadvances.2020002051

Source DB:  PubMed          Journal:  Blood Adv        ISSN: 2473-9529


  63 in total

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Journal:  Nat Rev Immunol       Date:  2005-10       Impact factor: 53.106

3.  Application of lectin microarray to crude samples: differential glycan profiling of lec mutants.

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Journal:  Glycoconj J       Date:  1996-08       Impact factor: 2.916

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Journal:  J Immunol       Date:  1985-12       Impact factor: 5.422

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Authors:  Mark Agostino; Tony Velkov; Tamir Dingjan; Spencer J Williams; Elizabeth Yuriev; Paul A Ramsland
Journal:  Glycobiology       Date:  2014-09-10       Impact factor: 4.313

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Journal:  Vox Sang       Date:  1986       Impact factor: 2.144

9.  Silencing α1,3-fucosyltransferases in human leukocytes reveals a role for FUT9 enzyme during E-selectin-mediated cell adhesion.

Authors:  Alexander Buffone; Nandini Mondal; Rohitesh Gupta; Kyle P McHugh; Joseph T Y Lau; Sriram Neelamegham
Journal:  J Biol Chem       Date:  2012-11-28       Impact factor: 5.157

10.  ABO Antigens Active Tri- and Disaccharides Microarray to Evaluate C-type Lectin Receptor Binding Preferences.

Authors:  Chethan D Shanthamurthy; Prashant Jain; Sharon Yehuda; João T Monteiro; Shani Leviatan Ben-Arye; Balamurugan Subramani; Bernd Lepenies; Vered Padler-Karavani; Raghavendra Kikkeri
Journal:  Sci Rep       Date:  2018-04-26       Impact factor: 4.379

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  1 in total

1.  Characterization and statistical modeling of glycosylation changes in sickle cell disease.

Authors:  Heather E Ashwood; Christopher Ashwood; Anna P Schmidt; Rebekah L Gundry; Karin M Hoffmeister; Waseem Q Anani
Journal:  Blood Adv       Date:  2021-03-09
  1 in total

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