Literature DB >> 28745644

Profiling Anti-Neu5Gc IgG in Human Sera with a Sialoglycan Microarray Assay.

Shani Leviatan Ben-Arye1, Hai Yu2, Xi Chen2, Vered Padler-Karavani3.   

Abstract

Cells are covered with a cloak of carbohydrate chains (glycans) that is commonly altered in cancer and that includes variations in sialic acid (Sia) expression. These are acidic sugars that have a 9-carbon backbone and that cap vertebrate glycans on cell surfaces. Two of the major Sia forms in mammals are N-acetylneuraminic acid (Neu5Ac) and its hydroxylated form, N-glycolylneuraminic acid (Neu5Gc). Humans cannot produce endogenous Neu5Gc due to the inactivation of the gene encoding cytidine 5'monophosphate-Neu5Ac (CMP-Neu5Ac) hydroxylase (CMAH). Foreign Neu5Gc is acquired by human cells through the dietary consumption of red meat and dairy and subsequently appears on diverse glycans on the cell surface, accumulating mostly on carcinomas. Consequently, humans have circulating anti-Neu5Gc antibodies that play diverse roles in cancer and other chronic inflammation-mediated diseases and that are becoming potential diagnostic and therapeutic targets. Here, we describe a high-throughput sialoglycan microarray assay to assess such anti-Neu5Gc antibodies in the human sera. Neu5Gc-containing glycans and their matched pairs of controls (Neu5Ac-containing glycans), each with a core primary amine, are covalently linked to epoxy-coated glass slides. We exemplify the printing of 56 slides in a 16-well format using a specific nano-printer capable of generating up to 896 arrays per print. Each slide can be used to screen 16 different human sera samples for the evaluation of anti-Neu5Gc antibody specificity, intensity, and diversity. The protocol describes the complexity of this robust tool and provides a basic guideline for those aiming to investigate the response to Neu5Gc dietary carbohydrate antigen in diverse clinical samples in an array format.

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Year:  2017        PMID: 28745644      PMCID: PMC5612302          DOI: 10.3791/56094

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  26 in total

1.  Potential impact of the non-human sialic acid N-glycolylneuraminic acid on transplant rejection risk.

Authors:  Vered Padler-Karavani; Ajit Varki
Journal:  Xenotransplantation       Date:  2011 Jan-Feb       Impact factor: 3.907

2.  Inverse hormesis of cancer growth mediated by narrow ranges of tumor-directed antibodies.

Authors:  Oliver M T Pearce; Heinz Läubli; Andrea Verhagen; Patrick Secrest; Jiquan Zhang; Nissi M Varki; Paul R Crocker; Jack D Bui; Ajit Varki
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-07       Impact factor: 11.205

Review 3.  Sialoside Arrays: New Synthetic Strategies and Applications.

Authors:  Chi-Hui Liang; Che-Hsiung Hsu; Chung-Yi Wu
Journal:  Top Curr Chem       Date:  2015

Review 4.  Glycan microarrays for decoding the glycome.

Authors:  Cory D Rillahan; James C Paulson
Journal:  Annu Rev Biochem       Date:  2011       Impact factor: 23.643

5.  A red meat-derived glycan promotes inflammation and cancer progression.

Authors:  Annie N Samraj; Oliver M T Pearce; Heinz Läubli; Alyssa N Crittenden; Anne K Bergfeld; Kalyan Banda; Christopher J Gregg; Andrea E Bingman; Patrick Secrest; Sandra L Diaz; Nissi M Varki; Ajit Varki
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-29       Impact factor: 11.205

6.  Mechanism of uptake and incorporation of the non-human sialic acid N-glycolylneuraminic acid into human cells.

Authors:  Muriel Bardor; Dzung H Nguyen; Sandra Diaz; Ajit Varki
Journal:  J Biol Chem       Date:  2004-11-22       Impact factor: 5.157

7.  Characterization of immunogenic Neu5Gc in bioprosthetic heart valves.

Authors:  Eliran Moshe Reuven; Shani Leviatan Ben-Arye; Tal Marshanski; Michael E Breimer; Hai Yu; Imen Fellah-Hebia; Jean-Christian Roussel; Cristina Costa; Manuel Galiñanes; Rafael Mañez; Thierry Le Tourneau; Jean-Paul Soulillou; Emanuele Cozzi; Xi Chen; Vered Padler-Karavani
Journal:  Xenotransplantation       Date:  2016-09-09       Impact factor: 3.907

Review 8.  Human risk of diseases associated with red meat intake: Analysis of current theories and proposed role for metabolic incorporation of a non-human sialic acid.

Authors:  Frederico Alisson-Silva; Kunio Kawanishi; Ajit Varki
Journal:  Mol Aspects Med       Date:  2016-07-12

Review 9.  Carbohydrate microarrays.

Authors:  Sungjin Park; Jeffrey C Gildersleeve; Ola Blixt; Injae Shin
Journal:  Chem Soc Rev       Date:  2012-11-28       Impact factor: 54.564

Review 10.  Altered tumor-cell glycosylation promotes metastasis.

Authors:  Irina Häuselmann; Lubor Borsig
Journal:  Front Oncol       Date:  2014-02-13       Impact factor: 6.244

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  13 in total

1.  Biomimetic Glyconanoparticle Vaccine for Cancer Immunotherapy.

Authors:  Eliran Moshe Reuven; Shani Leviatan Ben-Arye; Hai Yu; Roberto Duchi; Andrea Perota; Sophie Conchon; Shirley Bachar Abramovitch; Jean-Paul Soulillou; Cesare Galli; Xi Chen; Vered Padler-Karavani
Journal:  ACS Nano       Date:  2019-03-11       Impact factor: 15.881

2.  Microarray Analysis of Oligosaccharide-Mediated Multivalent Carbohydrate-Protein Interactions and Their Heterogeneity.

Authors:  Madhuri Gade; Catherine Alex; Shani Leviatan Ben-Arye; João T Monteiro; Sharon Yehuda; Bernd Lepenies; Vered Padler-Karavani; Raghavendra Kikkeri
Journal:  Chembiochem       Date:  2018-03-25       Impact factor: 3.164

3.  Differential Recognition of Diet-Derived Neu5Gc-Neoantigens on Glycan Microarrays by Carbohydrate-Specific Pooled Human IgG and IgA Antibodies.

Authors:  Shani Leviatan Ben-Arye; Christoph Schneider; Hai Yu; Salam Bashir; Xi Chen; Stephan von Gunten; Vered Padler-Karavani
Journal:  Bioconjug Chem       Date:  2019-04-24       Impact factor: 4.774

4.  Glycan microarray reveal induced IgGs repertoire shift against a dietary carbohydrate in response to rabbit anti-human thymocyte therapy.

Authors:  Ron Amon; Shani Leviatan Ben-Arye; Limor Engler; Hai Yu; Noha Lim; Ludmilla Le Berre; Kristina M Harris; Mario R Ehlers; Stephen E Gitelman; Xi Chen; Jean-Paul Soulillou; Vered Padler-Karavani
Journal:  Oncotarget       Date:  2017-12-11

5.  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

6.  No Increase in Colon Cancer Risk Following Induction with Neu5Gc-Bearing Rabbit Anti-T Cell IgG (ATG) in Recipients of Kidney Transplants.

Authors:  Jean-Paul Soulillou; Caner Süsal; Bernd Döhler; Gerhard Opelz
Journal:  Cancers (Basel)       Date:  2018-09-12       Impact factor: 6.639

Review 7.  The Structural Complexity and Animal Tissue Distribution of N-Glycolylneuraminic Acid (Neu5Gc)-Terminated Glycans. Implications for Their Immunogenicity in Clinical Xenografting.

Authors:  Michael E Breimer; Jan Holgersson
Journal:  Front Mol Biosci       Date:  2019-07-19

8.  Presentation Mode of Glycans Affect Recognition of Human Serum anti-Neu5Gc IgG Antibodies.

Authors:  Salam Bashir; Shani Leviatan Ben Arye; Eliran Moshe Reuven; Hai Yu; Cristina Costa; Manuel Galiñanes; Tomaso Bottio; Xi Chen; Vered Padler-Karavani
Journal:  Bioconjug Chem       Date:  2018-12-13       Impact factor: 4.774

9.  A combined computational-experimental approach to define the structural origin of antibody recognition of sialyl-Tn, a tumor-associated carbohydrate antigen.

Authors:  Ron Amon; Oliver C Grant; Shani Leviatan Ben-Arye; Spandana Makeneni; Anita K Nivedha; Tal Marshanski; Christoffer Norn; Hai Yu; John N Glushka; Sarel J Fleishman; Xi Chen; Robert J Woods; Vered Padler-Karavani
Journal:  Sci Rep       Date:  2018-07-17       Impact factor: 4.379

Review 10.  From "Serum Sickness" to "Xenosialitis": Past, Present, and Future Significance of the Non-human Sialic Acid Neu5Gc.

Authors:  Chirag Dhar; Aniruddha Sasmal; Ajit Varki
Journal:  Front Immunol       Date:  2019-04-17       Impact factor: 7.561

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