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Comprehensive proteomic data sets for studying adipocyte-macrophage cell-cell communication
- Source :
- Proteomics
- Publication Year :
- 2013
-
Abstract
- Cellular communication is a fundamental process in biology. The interaction of adipocytes with macrophages is a key event in the development of common diseases such as type 2 diabetes. We applied an established bilayer cell co-culture system and comprehensive mass spectrometry analysis to detect proteome-wide the paracrine interaction of murine adipocytes and macrophages. Altogether, we identified 4486 proteins with at least two unique peptides of which 2392 proteins were informative for 3T3-L1 adipocytes and 2957 proteins for RAW 264.7 macrophages. Further, we observed over 12,000 phosphorylation sites of which we could assign 3,200 informative phosphopeptides with a single phosphosite for adipocytes and 4,514 for macrophages. Using protein set enrichment and phosphosite analyses, we deciphered regulatory protein pathways involved in cellular stress and inflammation, which can contribute to metabolic impairment of cells including insulin resistance and other disorders. The generated data sets provide a holistic, molecular pathway-centric view on the interplay of adipocytes and macrophages in disease processes and a resource for further studies.
- Subjects :
- Phosphopeptides
Cell signaling
Proteome
Cell
Inflammation
Cell Communication
Biology
Biochemistry
Cell Line
03 medical and health sciences
Paracrine signalling
chemistry.chemical_compound
Mice
0302 clinical medicine
Insulin resistance
Adipocyte
Stable isotope labeling by amino acids in cell culture
medicine
Adipocytes
Animals
Phosphorylation
Molecular Biology
030304 developmental biology
Regulation of gene expression
0303 health sciences
Macrophages
medicine.disease
Coculture Techniques
Cell biology
medicine.anatomical_structure
chemistry
030220 oncology & carcinogenesis
medicine.symptom
Transcriptome
Signal Transduction
Subjects
Details
- ISSN :
- 16159861
- Volume :
- 13
- Issue :
- 23-24
- Database :
- OpenAIRE
- Journal :
- Proteomics
- Accession number :
- edsair.doi.dedup.....1cf7d3c7223ba447d0a410caf0dc4196