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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Current Opinion in S...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Current Opinion in Structural Biology
Article . 2004 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Carbohydrate–carbohydrate interactions in cell recognition

Authors: Iwona, Bucior; Max M, Burger;

Carbohydrate–carbohydrate interactions in cell recognition

Abstract

Obtaining a better understanding of the molecular basis of cell recognition remains an important challenge with regard to the social functioning of cells in multicellular systems. The wide structural diversity of carbohydrates allows many combinatorial possibilities for fine-tuning cell-cell and cell-matrix recognition in multicellular organisms. Direct carbohydrate-carbohydrate interaction would endow both the flexibility and the specificity of reversible contacts at the cell surface during the formation, maintenance and pathogenesis of tissues. The recent development of methods for the characterization of such interactions will help to expand our knowledge of the mechanisms that trigger early events in cell recognition.

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Keywords

Mice, Cell Adhesion, Animals, Carbohydrate Metabolism, Cell Differentiation, Microscopy, Atomic Force, Glycosphingolipids, Monocytes, Signal Transduction

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
127
Top 10%
Top 10%
Top 10%
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