Lectin microarrays identify cell-specific and functionally significant cell surface glycan markers

被引:133
作者
Tao, Sheng-Ce [1 ,2 ]
Li, Yu [3 ]
Zhou, Jiangbing [4 ]
Qian, Jiang [5 ]
Schnaar, Ronald L. [1 ]
Zhang, Ying [4 ]
Goldstein, Irwin J. [6 ]
Zhu, Heng [1 ,2 ]
Schneck, Jonathan P. [3 ]
机构
[1] Johns Hopkins Univ, Dept Pharmacol & Mol Sci, Baltimore, MD 21205 USA
[2] Johns Hopkins Univ, High Throughput Biol Ctr, Baltimore, MD 21205 USA
[3] Johns Hopkins Univ, Dept Pathol Oncol & Med, Baltimore, MD 21205 USA
[4] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Dept Mol Microbiol & Immunol, Baltimore, MD 21205 USA
[5] Johns Hopkins Univ, Dept Ophthalmol, Baltimore, MD 21205 USA
[6] Univ Michigan, Sch Med, Dept Biol Chem, Ann Arbor, MI 48109 USA
关键词
biomaker; cell differentiation; glycan signature; lectin microarray; pathogen tropism;
D O I
10.1093/glycob/cwn063
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Glycosylation is among the most complex posttranslational modifications with an extremely high level of diversity that has made it refractory to high-throughput analyses. Despite its resistance to high-throughput techniques, glycosylation is important in many critical cellular processes that necessitate a productive approach to their analysis. To facilitate studies in glycosylation, we developed a high-throughput lectin microarray for defining mammalian cell surface glycan signatures. Using the lectin microarray we established a binary analysis of cell binding and hierarchical organization of 24 mammalian cell lines. The array was also used to document changes in cell surface glycosylation during cell development and differentiation of primary murine immune system cells. To establish the biological and clinical importance of glycan signatures, the lectin microarray was applied in two systems. First, we analyzed the cell surface glycan signatures and were able to predict mannose-dependent tropism using a model pathogen. Second, we used the glycan signatures to identify novel lectin biomarkers for cancer stem-like cells in a murine model. Thus, lectin microarrays are an effective tool for analyzing diverse cell processes including cell development and differentiation, cell-cell communication, pathogen-host recognition, and cell surface biomarker identification.
引用
收藏
页码:761 / 769
页数:9
相关论文
共 47 条
[1]   Lectin-based three-color flow cytometric approach for studying cell surface glycosylation changes that occur during apoptosis [J].
Batisse, C ;
Marquet, J ;
Greffard, A ;
Fleury-Feith, J ;
Jaurand, MC ;
Pilatte, Y .
CYTOMETRY PART A, 2004, 62A (02) :81-88
[2]   PREDICTION OF LYMPH-NODE INVOLVEMENT IN BREAST-CANCER BY DETECTION OF ALTERED GLYCOSYLATION IN THE PRIMARY TUMOR [J].
BROOKS, SA ;
LEATHEM, AJC .
LANCET, 1991, 338 (8759) :71-74
[3]  
Carter TM, 2006, METH MOLEC MED, V120, P201
[4]   Sweet 'n' sour: the impact of differential glycosylation on T cell responses [J].
Daniels, MA ;
Hogquist, KA ;
Jameson, SC .
NATURE IMMUNOLOGY, 2002, 3 (10) :903-910
[5]   CD8 binding to MHC class I molecules is influenced by maturation and T cell glycosylation [J].
Daniels, MA ;
Levine, L ;
Miller, JD ;
Moser, JM ;
Lukacher, AE ;
Altman, JD ;
Kavathas, P ;
Hogquist, KA ;
Jameson, SC .
IMMUNITY, 2001, 15 (06) :1051-1061
[6]   Glycoprotein glycosylation and cancer progression [J].
Dennis, JW ;
Granovsky, M ;
Warren, CE .
BIOCHIMICA ET BIOPHYSICA ACTA-GENERAL SUBJECTS, 1999, 1473 (01) :21-34
[7]   In vitro propagation and transcriptional profiling of human mammary stem/progenitor cells [J].
Dontu, G ;
Abdallah, WM ;
Foley, JM ;
Jackson, KW ;
Clarke, MF ;
Kawamura, MJ ;
Wicha, MS .
GENES & DEVELOPMENT, 2003, 17 (10) :1253-1270
[8]  
Dwek MV, 2001, PROTEOMICS, V1, P756
[9]   Application of lectin microarray to crude samples: Differential glycan profiling of Lec mutants [J].
Ebe, Y ;
Kuno, A ;
Uchiyama, N ;
Koseki-Kuno, S ;
Yamada, M ;
Sato, T ;
Narimatsu, H ;
Hirabayashi, J .
JOURNAL OF BIOCHEMISTRY, 2006, 139 (03) :323-327
[10]  
Ferguson RE, 2005, ADV EXP MED BIOL, V564, P113