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<strong>EMBL</strong> Research at a Glance 2009<br />
Jeroen Krijgsveld<br />
PhD 1999, University of<br />
Amsterdam, The Netherlands.<br />
Postdoc at Utrecht University,<br />
The Netherlands and Harvard<br />
Medical School, Boston, USA.<br />
Assistant Professor, Utrecht<br />
University, The Netherlands<br />
Team leader at <strong>EMBL</strong> since<br />
2008.<br />
Quantitative proteomics<br />
Previous and current research<br />
Our research is centred around mass spectrometry-based proteomics. Mass spectrometry coupled<br />
to liquid chromatography has matured to the extent that thousands of proteins can be identified,<br />
so for simple organisms we can now start thinking of studying entire proteomes. For more<br />
complex organisms, including humans, complementary strategies are still required targeted at<br />
specific classes of proteins/peptides by pre-fractionation or selective enrichment. Our interest is<br />
in the expansion of this ‘proteomic toolbox’ and its integration into the larger domains of molecular<br />
biology and biochemistry. We focus particularly on quantitative techniques in mass spectrometry<br />
using stable isotope-labelling to study protein dynamics in a biological context.<br />
Our tools include stable isotope-labelling for protein quantitation (e.g. SILAC and chemical approaches),<br />
enrichment strategies for specific classes of proteins (membrane proteins, phosphopeptides)<br />
and separation techniques for detailed coverage of even very complex samples (SCX,<br />
nanoflow HPLC, peptide isoelectric focussing (IEF)). Finally, in our newly equipped lab we have<br />
state-of-the-art mass spectrometers (a Maxis electrospray Qq-Tof and HCT ion trap) as well as<br />
bioinformatic data flows for protein identification and quantitation.<br />
Our biological interest is in developmental biology and in the underlying mechanisms in transcriptional<br />
regulation. Currently we are studying the dynamics of protein expression during fruit<br />
fly development by comparing distinct embryonic stages. To do this in a quantitative fashion, we have developed tools to metabolically label<br />
flies with stable isotopes. In conjunction with gene expression data this provides mechanistic insight in regulation of individual or functionally<br />
related proteins and helps explain regulatory mechanisms in early embryonic development. Another major effort is in application of<br />
quantitative proteomic techniques to stem cell pluripotency and differentiation. Currently we are studying the dynamics of phosphorylation<br />
upon inducing differentiation of human stem cells (see figure).<br />
This should benchmark an initial blueprint of the<br />
phosphorylation network activated during differentiation,<br />
while providing a starting point for further exploration in<br />
other cell lines and organisms.<br />
Future projects and goals<br />
Our future work can be divided in three major areas:<br />
• We will apply quantitative proteomic techniques<br />
for global analysis of protein expression during<br />
embryonic development (stem cells, fruit flies).<br />
• We will focus on the identification of protein-protein<br />
and protein-DNA complexes to understand<br />
regulatory principles of transcription under various<br />
biological conditions.<br />
• In addition we will use targeted mass-spectrometric<br />
approaches tracking defined sets of proteins<br />
over time employing MRM (multi-reaction monitoring)<br />
experiments. We will be specifically focussed<br />
on applying this to the dynamics of<br />
posttranslational modifications, particularly phosphorylation.<br />
Experimental workflow for the quantitative study of protein phosphorylation<br />
during stem cell differentiation. hESC that are labelled with heavy isotopes<br />
(SILAC) are induced to differentiate and mixed with non-labelled hESC.<br />
Selective isolation of phosphopeptides and mass spectrometric<br />
analysis results in the identification of thousands of peptides whose<br />
phosphorylation status can be quantified over time.<br />
Selected references<br />
Gouw, J.W., Tops, B.B., Mortensen, P., Heck, A.J. & Krijgsveld, J.<br />
(2008). Optimizing identification and quantitation of 15N-labeled<br />
proteins in comparative proteomics. Anal Chem., 80, 7796-7803<br />
Van Hoof, D., Pinkse, M.W., Oostwaard, D.W., Mummery, C.L.,<br />
Heck, A.J. & Krijgsveld, J. (2007). An experimental correction for<br />
arginine-to-proline conversion artifacts in SILAC-based quantitative<br />
proteomics. Nat. Methods, , 677-678<br />
38<br />
Van Hoof, D., Passier, R., Ward-Van Oostwaard, D., Pinkse, M.W.,<br />
Heck, A.J., Mummery, C.L. & Krijgsveld, J. (2006). A quest for human<br />
and mouse embryonic stem cell-specific proteins. Mol. Cell<br />
Proteomics, 5, 1261-1273<br />
Krijgsveld, J., Ketting, R.F., Mahmoudi, T., Johansen, J., Artal-Sanz,<br />
M., Verrijzer, C.P., Plasterk, R.H. & Heck, A.J. (2003). Metabolic<br />
labeling of C. elegans and D. melanogaster for quantitative<br />
proteomics. Nat. Biotechnol., 21, 927-931