Quantitative proteomics by mass spectrometry is a powerful tool to investigate the interactions and expression of proteins. We applied different molecular biology and quantitative proteomics methods to define interacting proteins, the composition of complexes and differences in protein expression levels in the model organism Caenorhabditis elegans, demonstrating that the combination of these techniques can be routinely used to identify and characterize endogenous proteins in the absence of suitable antibodies. We here compare several approaches for quantitative proteomics: 1) introducing a mass label metabolically via feeding with E. coli, 2) reductive demethylation, which introduces a mass tag at the peptide level during the sample preparation and 3) label free quantitation, which compares peptide intensities across different mass spectrometry measurements. To benchmark these three techniques for their applicability and benefits, we performed DNA pull-down experiments with nuclear extracts using the the telomeric sequence of C. elegans (TTAGGCn) or a scrambled control (AGGTCAn). In all three approaches, we were able to determine proteins binding to the telomeric repeat sequence including the known binders POT-1, POT-2 and MRT-1 alongside proteins not previously implicated in telomere biology that are currently further investigated. Moreover, in a pilot experiment, we coupled native size exclusion chromatography with label-free quantitation to obtain a global overview of C. elegans protein complexes. Proteins belonging to a complex should show co-elution. This could be validated by several members of known complexes, like the CUL-4/DDB-1 ubiquitin ligase complex, the NuRD/CHD chromatin remodeling complex and the DCR-1/RDE-4 complex which co-occurred in same fractions, suggesting that protein-protein interactions can be recovered using this approach. Additionally, this extended fractionation allowed us to measure an in-depth proteome of >5000 proteins. Besides interactomics, mass-spectrometry based quantitative proteomics can be used to study differences in protein levels similar to next generation sequencing for transcriptomes. We determined significant protein abundance differences between the wildtype and the
pot-2(
tm1400) knockout strain by label free proteomics. Overall, we show that diverse classical molecular biology techniques can be combined with quantitative proteomics approaches to readily uncover protein functionality in C. elegans.