Characterizing the proteome of subcellular structures and the interactome of specific proteins provides entry points to probe molecular function. Several methods for screening protein-protein interactions (PPIs) have proven useful, including affinity purification and two hybrid screens. However, these methods have limitations, including poor detection of transient or weak PPIs, high false positives, and difficulty detecting PPIs in specific cell types or subcellular compartments. Many of these limitations can be overcome using proximity-dependent protein labeling (PL). We optimize a PL protocol for C. elegans using TurboID, a recently improved E. coli promiscuous biotin ligase. We analyse the proteome of individual tissues including the nervous system, intestine, hypodermis and muscle, and, to demonstrate single cell resolution, of the pair of AFD neurons. We observe enrichment of tissue-specific proteins, and identify both known and previously unknown AFD-specific proteins. To characterize the interactome of a specific protein, we knocked TurboID into the endogenous
elks-1 gene, which encodes a presynaptic active zone protein. ELKS-1-TurboID highlights both characterized and previously uncharacterized synaptic proteins. We use our data to define non-specific contaminants that should help interpretation of C. elegans PL data. TurboID proximity labeling provides a powerful tool to investigate C. elegans biology. Research support: This work was supported by an Advanced ERC Grant (269058 ACMO) and a Wellcome Investigator Award (209504/Z/17/Z) to MdB and an ISTplus Fellowship to MA (Marie Sklodowska-Curie agreement No 754411).