PMID- 24672526
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20140327
LR  - 20211021
IS  - 1664-3224 (Print)
IS  - 1664-3224 (Electronic)
IS  - 1664-3224 (Linking)
VI  - 5
DP  - 2014
TI  - Definition of a Family of Tissue-Protective Cytokines Using Functional Cluster 
      Analysis: A Proof-of-Concept Study.
PG  - 115
LID - 10.3389/fimmu.2014.00115 [doi]
LID - 115
AB  - The discovery of the tissue-protective activities of erythropoietin (EPO) has 
      underlined the importance of some cytokines in tissue-protection, repair, and 
      remodeling. As such activities have been reported for other cytokines, we asked 
      whether we could define a class of tissue-protective cytokines. We therefore 
      explored a novel approach based on functional clustering. In this pilot study, we 
      started by analyzing a small number of cytokines (30). We functionally classified 
      the 30 cytokines according to their interactions by using the bioinformatics tool 
      STRING (Search Tool for the Retrieval of Interacting Genes), followed by 
      hierarchical cluster analysis. The results of this functional clustering were 
      different from those obtained by clustering cytokines simply according to their 
      sequence. We previously reported that the protective activity of EPO in a model 
      of cerebral ischemia was paralleled by an upregulation of synaptic plasticity 
      genes, particularly early growth response 2 (EGR2). To assess the predictivity of 
      functional clustering, we tested some of the cytokines clustering close to EPO 
      (interleukin-11, IL-11; kit ligand, KITLG; leukemia inhibitory factor, LIF; 
      thrombopoietin, THPO) in an in vitro model of human neuronal cells for their 
      ability to induce EGR2. Two of these, LIF and IL-11, induced EGR2 expression. 
      Although these data would need to be extended to a larger number of cytokines and 
      the biological validation should be done using more robust in vivo models, rather 
      then just one cell line, this study shows the feasibility of this approach. This 
      type of functional cluster analysis could be extended to other fields of cytokine 
      research and help design biological experiments.
FAU - Mengozzi, Manuela
AU  - Mengozzi M
AD  - Brighton and Sussex Medical School , Falmer , UK.
FAU - Ermilov, Peter
AU  - Ermilov P
AD  - Brighton and Sussex Medical School , Falmer , UK.
FAU - Annenkov, Alexander
AU  - Annenkov A
AD  - Bone and Joint Research Unit, Bart's and The London School of Medicine, William 
      Harvey Research Institute, Queen Mary University of London , London , UK.
FAU - Ghezzi, Pietro
AU  - Ghezzi P
AD  - Brighton and Sussex Medical School , Falmer , UK.
FAU - Pearl, Frances
AU  - Pearl F
AD  - Translational Drug Discovery Group, School of Life Sciences, University of Sussex 
      , Falmer , UK.
LA  - eng
PT  - Journal Article
DEP - 20140317
PL  - Switzerland
TA  - Front Immunol
JT  - Frontiers in immunology
JID - 101560960
PMC - PMC3955874
OTO - NOTNLM
OT  - EGR2
OT  - bioinformatics
OT  - cluster analysis
OT  - cytokines
OT  - early genes
OT  - neuroprotection
OT  - repair
OT  - tissue-protection
EDAT- 2014/03/29 06:00
MHDA- 2014/03/29 06:01
PMCR- 2014/01/01
CRDT- 2014/03/28 06:00
PHST- 2013/12/20 00:00 [received]
PHST- 2014/03/05 00:00 [accepted]
PHST- 2014/03/28 06:00 [entrez]
PHST- 2014/03/29 06:00 [pubmed]
PHST- 2014/03/29 06:01 [medline]
PHST- 2014/01/01 00:00 [pmc-release]
AID - 10.3389/fimmu.2014.00115 [doi]
PST - epublish
SO  - Front Immunol. 2014 Mar 17;5:115. doi: 10.3389/fimmu.2014.00115. eCollection 
      2014.