Abstract
Secreted proteins constitute a large and biologically important subset of proteins that are involved in cellular communication, adhesion and migration. Yet secretomes are understudied because of technical limitations in the detection of low-abundance proteins against a background of serum-containing media. Here we introduce a method that combines click chemistry and pulsed stable isotope labeling with amino acids in cell culture to selectively enrich and quantify secreted proteins. The combination of these two labeling approaches allows cells to be studied irrespective of the complexity of the background proteins. We provide an in-depth and differential secretome analysis of various cell lines and primary cells, quantifying secreted factors, including cytokines, chemokines and growth factors. In addition, we reveal that serum starvation has a marked effect on secretome composition. We also analyze the kinetics of protein secretion by macrophages in response to lipopolysaccharides.
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Acknowledgements
We gratefully acknowledge the EMBL Proteomics Core Facility for expert technical assistance. This study was supported by the Netherlands Organisation for Scientific Research (NWO).
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K.E. and J.K. designed the study. K.E., M.W. and M.B.D. performed cell culture experiments with supervision from S.H. K.E. performed biochemical and mass spectrometric experiments. K.E. analyzed the data with input from J.K. K.E. and J.K. wrote the paper with input from all other authors.
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Supplementary information
Supplementary Text and Figures
Supplementary Figures 1–8 (PDF 1147 kb)
Supplementary Table 1
Secretome analysis of PC3 and WPMY-1 cells (XLSX 345 kb)
Supplementary Table 2
Secretome analysis of primary hepatocytes and hepatoma cell lines Hepa1-6 and Hepa1c1 (XLSX 831 kb)
Supplementary Table 3
Secretome analysis of LPS-stimulated mouse macrophages (XLSX 169 kb)
Supplementary Table 4
Compendium of human secreted proteins (XLSX 2006 kb)
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Eichelbaum, K., Winter, M., Diaz, M. et al. Selective enrichment of newly synthesized proteins for quantitative secretome analysis. Nat Biotechnol 30, 984–990 (2012). https://doi.org/10.1038/nbt.2356
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DOI: https://doi.org/10.1038/nbt.2356
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