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Emergent properties of cell surface glycosylation in cell-cell communication

Total Cost €


EC-Contrib. €






 GLYCONOISE project word cloud

Explore the words cloud of the GLYCONOISE project. It provides you a very rough idea of what is the project "GLYCONOISE" about.

biological    population    provides    redundancy    ultra    advancements    biology    rate    transmitter    tolerate    messages    expanded    enabled    adapting    surface    messaging    identical    first    sbquo    compositions    model    employ    codes    composition    glycomes    function    receptors    cellular    trigger    quantify    decoding    interactions    competitive    immunological    glycan    lectin    flow    gives    replacing    questions    glycosylated    determined    techniques    mixtures    data    receiver    structure    reveals    lost    message    fundamental    biopolymers    glycobioinformatics    communication    vary    covered    binding    noise    simplified    poorly    cells    sciences    genetically    differentiation    experimental    disturb    software    instrumentation    combining    accessible    cell    microparticles    interaction    dimensional    living    single    biophysical    glycans    stems    expressing    biophysics    constants    reconstructed    matrix    emerge    dense    robustness    influencing    cytometry    formed   

Project "GLYCONOISE" data sheet

The following table provides information about the project.


Organization address
city: Munich
postcode: 80539

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 1˙499˙813 €
 EC max contribution 1˙499˙813 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-STG
 Funding Scheme ERC-STG
 Starting year 2017
 Duration (year-month-day) from 2017-02-01   to  2022-01-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

The surface of every living cell is covered with a dense matrix of glycans. Its particular composition and structure codes important messages in cell-cell communication, influencing development, differentiation, and immunological processes. The matrix is formed by highly complex biopolymers whose compositions vary from cell to cell, even between genetically identical cells. This gives rise to population noise in cell-cell communication. A second level of noise stems from glycans present on the same cell that disturb the decoding of the message by glycans binding receptors through competitive binding. Glycan-based communication is characterized by a high redundancy of both glycans and their receptors. Thus, noise and redundancy emerge as key properties of glycan-based cell-cell communication, but their extent and function are poorly understood.

By adapting a transmitter-receiver model from communication sciences and combining it with state-of-the-art experimental techniques from biophysics and cell biology, we will address two fundamental questions: What is the role of the redundancy in glycan-based communication? How much ‚noise’ can it tolerate, before the message is lost?

To do so, we first establish a simplified model system for glycan-based communication. Biophysical rate constants are determined for lectin-glycan interactions and expanded to glycosylated microparticles that trigger a biological response in lectin expressing receiver cells. Next, single cell glycomes are reconstructed from ultra-high dimensional flow cytometry data using lectin mixtures enabled by recent advancements in instrumentation and glycobioinformatics software. Glycomes accessible on single cell level allow replacing the microparticles with transmitter cells and employ a cell-cell interaction model. Our transmitter-receiver model is used to quantify the noise and reveals how redundancy provides robustness of messaging by cell surface glycans in cellular communication.


year authors and title journal last update
List of publications.
2019 Jessica Schulze, Mareike Rentzsch, Dongyoon Kim, Lydia Bellmann, Patrizia Stoitzner, Christoph Rademacher
A Liposomal Platform for Delivery of a Protein Antigen to Langerin-Expressing Cells
published pages: 2576-2580, ISSN: 0006-2960, DOI: 10.1021/acs.biochem.9b00402
Biochemistry 58/21 2019-10-03

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