Publication Date:
2009-12-17
Description:
Cells have self-organizing properties that control their behavior in complex tissues. Contact between cells expressing either B-type Eph receptors or their transmembrane ephrin ligands initiates bidirectional signals that regulate cell positioning. However, simultaneously investigating how information is processed in two interacting cell types remains a challenge. We implemented a proteomic strategy to systematically determine cell-specific signaling networks underlying EphB2- and ephrin-B1-controlled cell sorting. Quantitative mass spectrometric analysis of mixed populations of EphB2- and ephrin-B1-expressing cells that were labeled with different isotopes revealed cell-specific tyrosine phosphorylation events. Functional associations between these phosphotyrosine signaling networks and cell sorting were established with small interfering RNA screening. Data-driven network modeling revealed that signaling between mixed EphB2- and ephrin-B1-expressing cells is asymmetric and that the distinct cell types use different tyrosine kinases and targets to process signals induced by cell-cell contact. We provide systems- and cell-specific network models of contact-initiated signaling between two distinct cell types.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jorgensen, Claus -- Sherman, Andrew -- Chen, Ginny I -- Pasculescu, Adrian -- Poliakov, Alexei -- Hsiung, Marilyn -- Larsen, Brett -- Wilkinson, David G -- Linding, Rune -- Pawson, Tony -- MC_U117532048/Medical Research Council/United Kingdom -- MOP-6849/Canadian Institutes of Health Research/Canada -- New York, N.Y. -- Science. 2009 Dec 11;326(5959):1502-9. doi: 10.1126/science.1176615.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Samuel Lunenfeld Research Institute (SLRI), Mount Sinai Hospital, Toronto M5G 1X5, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20007894" target="_blank"〉PubMed〈/a〉
Keywords:
Adaptor Proteins, Signal Transducing/metabolism
;
Algorithms
;
Cell Line
;
Ephrin-B1/genetics/*metabolism
;
Humans
;
Ligands
;
Mass Spectrometry
;
Models, Biological
;
PDZ Domains
;
Phosphorylation
;
Protein Binding
;
Protein Interaction Domains and Motifs
;
Protein-Tyrosine Kinases/metabolism
;
Proteomics
;
RNA, Small Interfering
;
Receptor, EphB2/genetics/*metabolism
;
*Signal Transduction
;
Tyrosine/metabolism
;
src Homology Domains
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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