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PXD027068 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleInteractome analysis of C. elegans synapses by TurboID-based proximity labeling
DescriptionProximity labeling provides a powerful in vivo tool to characterize the proteome of subcellular structures and the interactome of specific proteins. Using the highly active biotin ligase TurboID, we optimize a proximity labeling protocol for C. elegans. We use this protocol to characterise the proteomes of the worm’s gut, muscle, skin, and nervous system. We express TurboID exclusively in the pair of AFD neurons and show we can identify known and previously unknown proteins expressed selectively in AFD. We knock TurboID into the endogenous elks-1 gene, which encodes a presynaptic active zone protein. We identify many known ELKS-1 interacting proteins as well as previously uncharacterised synaptic proteins. Versatile vectors, and the inherent advantage of C. elegans for biochemistry, make proximity labeling a valuable addition to the nematode’s armory.
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterArmel Nicolas
SpeciesList scientific name: Caenorhabditis elegans; NCBI TaxID: 6239;
ModificationList2-pyrrolidone-5-carboxylic acid (Gln); biotinylated residue; phosphorylated residue; acetylated residue; monohydroxylated residue; iodoacetamide derivatized residue; deamidated residue
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02021-07-02 08:24:13ID requested
12021-09-15 03:10:28announced
Publication List
Artan M, Barratt S, Flynn SM, Begum F, Skehel M, Nicolas A, de Bono M, Interactome analysis of Caenorhabditis elegans synapses by TurboID-based proximity labeling. J Biol Chem, 297(3):101094(2021) [pubmed]
Keyword List
submitter keyword: interactome Caenorhabditis elegans turboID proximity proteomics biotin labeling
Contact List
Mario de Bono
contact affiliationIST Austria, Austria
contact emailmario.debono@ist.ac.at
lab head
Armel Nicolas
contact affiliationIST Austria
contact emailarmel.nicolas@ist.ac.at
dataset submitter
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