Interactome analysis of Caenorhabditis elegans synapses by TurboID-based proximity labeling
Murat Artan, Stephen Barratt, Sean M. Flynn, Farida Begum, Mark Skehel, Armel Nicolas, Mario de Bono
Abstract
Proximity labeling provides a powerful in vivo tool to characterize the proteome of subcellular structures and the interactome of specific proteins. The nematode Caenorhabditis elegans is one of the most intensely studied organisms in biology, offering many advantages for biochemistry. Using the highly active biotin ligase TurboID, we optimize here a proximity labeling protocol for C. elegans. An advantage of TurboID is that biotin's high affinity for streptavidin means biotin-labeled proteins can be affinity-purified under harsh denaturing conditions. By combining extensive sonication with aggressive denaturation using SDS and urea, we achieved near-complete solubilization of worm proteins. We then used this protocol to characterize the proteomes of the worm gut, muscle, skin, and nervous system. Neurons are among the smallest C. elegans cells. To probe the method's sensitivity, we expressed TurboID exclusively in the two AFD neurons and showed that the protocol could identify known and previously unknown proteins expressed selectively in AFD. The active zones of synapses are composed of a protein matrix that is difficult to solubilize and purify. To test if our protocol could solubilize active zone proteins, we knocked TurboID into the endogenous elks-1 gene, which encodes a presynaptic active zone protein. We identified many known ELKS-1-interacting active zone proteins, as well as previously uncharacterized synaptic proteins. Versatile vectors and the inherent advantages of using C. elegans, including fast growth and the ability to rapidly make and functionally test knock-ins, make proximity labeling a valuable addition to the armory of this model organism. Proximity labeling provides a powerful in vivo tool to characterize the proteome of subcellular structures and the interactome of specific proteins. The nematode Caenorhabditis elegans is one of the most intensely studied organisms in biology, offering many advantages for biochemistry. Using the highly active biotin ligase TurboID, we optimize here a proximity labeling protocol for C. elegans. An advantage of TurboID is that biotin's high affinity for streptavidin means biotin-labeled proteins can be affinity-purified under harsh denaturing conditions. By combining extensive sonication with aggressive denaturation using SDS and urea, we achieved near-complete solubilization of worm proteins. We then used this protocol to characterize the proteomes of the worm gut, muscle, skin, and nervous system. Neurons are among the smallest C. elegans cells. To probe the method's sensitivity, we expressed TurboID exclusively in the two AFD neurons and showed that the protocol could identify known and previously unknown proteins expressed selectively in AFD. The active zones of synapses are composed of a protein matrix that is difficult to solubilize and purify. To test if our protocol could solubilize active zone proteins, we knocked TurboID into the endogenous elks-1 gene, which encodes a presynaptic active zone protein. We identified many known ELKS-1-interacting active zone proteins, as well as previously uncharacterized synaptic proteins. Versatile vectors and the inherent advantages of using C. elegans, including fast growth and the ability to rapidly make and functionally test knock-ins, make proximity labeling a valuable addition to the armory of this model organism. Characterizing the interactomes of specific proteins, and the proteome profiles of subcellular structures, cells, and tissues, provides a powerful entry point to probe molecular function. Several methods designed to highlight protein–protein interactions (PPIs) have proven useful, including yeast-two-hybrid (Y2H), affinity purification, and phage display (1Qin W. Cho K.F. Cavanagh P.E. Ting A.Y. Deciphering molecular interactions by proximity labeling.Nat. Methods. 2021; 18: 133-143Crossref PubMed Scopus (28) Google Scholar, 2Kim D.I. Roux K.J. Filling the void: Proximity-based labeling of proteins in living cells.Trends Cell Biol. 2016; 26: 804-817Abstract Full Text Full Text PDF PubMed Scopus (134) Google Scholar, 3Varnaitė R. MacNeill S.A. Meet the neighbors: Mapping local protein interactomes by proximity-dependent labeling with BioID.Proteomics. 2016; 16: 2503-2518Crossref PubMed Scopus (82) Google Scholar, 4Trinkle-Mulcahy L. Recent advances in proximity-based labeling methods for interactome mapping.F1000Research. 2019; 8Crossref PubMed Scopus (55) Google Scholar, 5Rees J.S. Li X.W. Perrett S. Lilley K.S. Jackson A.P. Protein neighbors and proximity proteomics.Mol. Cell. Proteomics. 2015; 14: 2848-2856Abstract Full Text Full Text PDF PubMed Scopus (68) Google Scholar). However, each method has limitations that can include high false-positive rates, poor detection of transient or weak interactors, a low signal-to-noise ratio when detecting PPIs in specific cell types or subcellular compartments, artifacts created during tissue homogenization, and competing requirements for solubilizing proteins while keeping complexes intact (1Qin W. Cho K.F. Cavanagh P.E. Ting A.Y. Deciphering molecular interactions by proximity labeling.Nat. Methods. 2021; 18: 133-143Crossref PubMed Scopus (28) Google Scholar, 2Kim D.I. Roux K.J. Filling the void: Proximity-based labeling of proteins in living cells.Trends Cell Biol. 2016; 26: 804-817Abstract Full Text Full Text PDF PubMed Scopus (134) Google Scholar). Proximity-labeling methods overcome many of these limitations (1Qin W. Cho K.F. Cavanagh P.E. Ting A.Y. Deciphering molecular interactions by proximity labeling.Nat. Methods. 2021; 18: 133-143Crossref PubMed Scopus (28) Google Scholar, 6Xu Y. Fan X. Hu Y. In vivo interactome profiling by enzyme-catalyzed proximity labeling.Cell Biosci. 2021; 11: 1-9Crossref PubMed Scopus (5) Google Scholar, 7Samavarchi-Tehrani P. Samson R. Gingras A.C. Proximity dependent biotinylation: Key enzymes and adaptation to proteomics approaches.Mol. Cell. Proteomics. 2020; 19: 757-773Abstract Full Text Full Text PDF PubMed Scopus (53) Google Scholar, 8Gingras A.C. Abe K.T. Raught B. Getting to know the neighborhood: Using proximity-dependent biotinylation to characterize protein complexes and map organelles.Curr. Opin. Chem. Biol. 2019; 48: 44-54Crossref PubMed Scopus (95) Google Scholar) and have allowed the proteomes of subcellular compartments (1Qin W. Cho K.F. Cavanagh P.E. Ting A.Y. Deciphering molecular interactions by proximity labeling.Nat. Methods. 2021; 18: 133-143Crossref PubMed Scopus (28) Google Scholar) and weak or transient PPIs to be characterized in vivo (1Qin W. Cho K.F. Cavanagh P.E. Ting A.Y. Deciphering molecular interactions by proximity labeling.Nat. Methods. 2021; 18: 133-143Crossref PubMed Scopus (28) Google Scholar). Proximity labeling fuses a protein of interest to an enzyme domain that promiscuously tags proteins in its vicinity with a biochemical handle. This handle allows selective recovery of tagged proteins, which can then be identified by mass spectrometry (MS) (1Qin W. Cho K.F. Cavanagh P.E. Ting A.Y. Deciphering molecular interactions by proximity labeling.Nat. Methods. 2021; 18: 133-143Crossref PubMed Scopus (28) Google Scholar, 2Kim D.I. Roux K.J. Filling the void: Proximity-based labeling of proteins in living cells.Trends Cell Biol. 2016; 26: 804-817Abstract Full Text Full Text PDF PubMed Scopus (134) Google Scholar, 7Samavarchi-Tehrani P. Samson R. Gingras A.C. Proximity dependent biotinylation: Key enzymes and adaptation to proteomics approaches.Mol. Cell. Proteomics. 2020; 19: 757-773Abstract Full Text Full Text PDF PubMed Scopus (53) Google Scholar). 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Ting A.Y. proximity labeling in living cells and organisms with PubMed Scopus Google Scholar). However, the interactome or for C. elegans. A used TurboID to characterize the interactome of the protein this protein in the tissue of the the gut, and to optimize the protocol A. X. K. C. Ting A.Y. Proximity labeling at reveals and as 2020; Scopus (0) Google Scholar). we optimize a protocol for in C. elegans. We TurboID in C. elegans tissues and in the of AFD We TurboID into which encodes a presynaptic active zone protein. We characterize tissue proteomes and highlight proteins. TurboID to AFD neurons the proteins and and previously uncharacterized proteins that we are selectively expressed in AFD. 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Mak R. Troemel E.R. Ben E.J. In vivo mapping of tissue- and subcellular-specific proteomes in Caenorhabditis elegans.Sci. Adv. 2017; 3: 1-12Crossref Scopus (30) Google Scholar). proteins at in one tissue tissues and proteins in one tissue identified by when TurboID to neurons expressed proteins, as and proteins expressed in of as the which is known to be expressed in and which is expressed in of neurons samples in and samples in and and samples and In we identified for many proteins whose expression previously uncharacterized of these proteins we the expression by our by The the expression by the method's The C. elegans nervous system of with most of a single of neurons that J.G. Southgate E. Thomson J.N. Brenner S. The structure of the nervous system of the nematode Caenorhabditis elegans.Philos. Trans. R. Soc. Lond. B Biol. Sci. 1986; 314: 1-340Crossref PubMed Google Scholar). We our protocol to characterize proteins expressed in a single of To test we expressed in the AFD of using the of these animals a biotinylation that in of mass spectrometry for affinity-purified animals the showed these samples for proteins or selectively expressed in AFD neurons when with or animals a and proteins the and and the and identified proteins in the TurboID samples with the TurboID and To if these proteins selectively expressed in AFD we and expressed in at low expressed in a of neurons that AFD of proteins, identified by mass with gene expression identified by D. R. S. M. The repertoire of Caenorhabditis elegans neurons and its in Biol. Cell. 2016; Scopus (28) Google Scholar). that TurboID is a tool to map the proteome of specific neurons in C. elegans. We if TurboID can highlight the interactome of a specific C. elegans protein expressed at endogenous We the synaptic protein an of is expressed the nervous system and to the presynaptic active in proximity to presynaptic proteins as and The presynaptic active Full Text Full Text PDF PubMed Scopus Google Scholar). To have endogenous of we knocked into the elks-1 using to the and in synapses of animals an biotinylation with However, mass spectrometry of proteins this of known synaptic proteins including and the protein We by mass spectrometry for in and animals the nervous and or nervous system and tissues We identified previously uncharacterized proteins as in samples and and We expressed for of these proteins exclusively in the AFD and showed that with at presynaptic active zones AFD is known to with J.G. Southgate E. Thomson J.N. Brenner S. The structure of the nervous system of the nematode Caenorhabditis elegans.Philos. Trans. R. Soc. Lond. B Biol. 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