Literature DB >> 15294952

Membrane-associated heparan sulfate proteoglycans are involved in the recognition of cellular targets by NKp30 and NKp46.

Noga Bloushtain1, Udi Qimron, Ahuva Bar-Ilan, Oren Hershkovitz, Roi Gazit, Eyal Fima, Murray Korc, Israel Vlodavsky, Nicolai V Bovin, Angel Porgador.   

Abstract

Lysis of virus-infected and tumor cells by NK cells is mediated via natural cytotoxicity receptors (NCRs). We have recently shown that the NKp44 and NKp46 NCRs, but not the NKp30, recognize viral hemagglutinins. In this study we explored the nature of the cellular ligands recognized by the NKp30 and NKp46 NCRs. We demonstrate that target cell surface heparan sulfate proteoglycans (HSPGs) are recognized by NKp30 and NKp46 and that 6-O-sulfation and N-acetylation state of the glucose building unit affect this recognition and lysis by NK cells. Tumor cells expressing cell surface heparanase, CHO cells lacking membranal heparan sulfate and glypican-1-suppressed pancreatic cancer cells manifest reduced recognition by NKp30 and NKp46 and are lysed to a lesser extent by NK cells. Our results are the first clue for the identity of the ligands for NKp30 and NKp46. Whether the ligands are particular HSPGs, unusual heparan sulfate epitopes, or a complex of HSPGs and either other protein or lipid moieties remains to be further explored.

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Year:  2004        PMID: 15294952     DOI: 10.4049/jimmunol.173.4.2392

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  60 in total

1.  H5-type influenza virus hemagglutinin is functionally recognized by the natural killer-activating receptor NKp44.

Authors:  Joanna W Ho; Oren Hershkovitz; Malik Peiris; Alon Zilka; Ahuva Bar-Ilan; Beatrice Nal; Kid Chu; Mateusz Kudelko; Yiu Wing Kam; Hagit Achdout; Michal Mandelboim; Ralf Altmeyer; Ofer Mandelboim; Roberto Bruzzone; Angel Porgador
Journal:  J Virol       Date:  2007-12-12       Impact factor: 5.103

2.  Genome-wide siRNA screen reveals a new cellular partner of NK cell receptor KIR2DL4: heparan sulfate directly modulates KIR2DL4-mediated responses.

Authors:  Kerry S Campbell; Angel Porgador; Michael Brusilovsky; Moti Cordoba; Benyamin Rosental; Oren Hershkovitz; Mark D Andrake; Anna Pecherskaya; Margret B Einarson; Yan Zhou; Alex Braiman
Journal:  J Immunol       Date:  2013-10-14       Impact factor: 5.422

3.  Complement factor P: promoting the antibacterial activity of natural killer cells.

Authors:  Xiaoxuan Zhuang; Eric O Long
Journal:  Cell Mol Immunol       Date:  2017-07-24       Impact factor: 11.530

Review 4.  Can we make a better match or mismatch with KIR genotyping?

Authors:  Rohtesh S Mehta; Katayoun Rezvani
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2016-12-02

5.  The stalk domain and the glycosylation status of the activating natural killer cell receptor NKp30 are important for ligand binding.

Authors:  Jessica Hartmann; Thuy-Van Tran; Janina Kaudeer; Karin Oberle; Julia Herrmann; Isabell Quagliano; Tobias Abel; André Cohnen; Volker Gatterdam; Andrea Jacobs; Bernd Wollscheid; Robert Tampé; Carsten Watzl; Andreas Diefenbach; Joachim Koch
Journal:  J Biol Chem       Date:  2012-07-17       Impact factor: 5.157

Review 6.  Evasion from NK cell-mediated immune responses by HIV-1.

Authors:  Stephanie Jost; Marcus Altfeld
Journal:  Microbes Infect       Date:  2012-05-21       Impact factor: 2.700

7.  Chemical Tumor Biology of Heparan Sulfate Proteoglycans.

Authors:  Karthik Raman; Balagurunathan Kuberan
Journal:  Curr Chem Biol       Date:  2010-01-01

8.  Activation of natural killer cells by newcastle disease virus hemagglutinin-neuraminidase.

Authors:  Mostafa Jarahian; Carsten Watzl; Philippe Fournier; Annette Arnold; Dominik Djandji; Sarah Zahedi; Adelheid Cerwenka; Annette Paschen; Volker Schirrmacher; Frank Momburg
Journal:  J Virol       Date:  2009-06-10       Impact factor: 5.103

Review 9.  Oncogenic stress sensed by the immune system: role of natural killer cell receptors.

Authors:  David H Raulet; Nadia Guerra
Journal:  Nat Rev Immunol       Date:  2009-08       Impact factor: 53.106

10.  Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy.

Authors:  Zheng Rong Yang
Journal:  BMC Bioinformatics       Date:  2009-10-29       Impact factor: 3.169

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