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Automated workflow for BioID improves reproducibility and identification of protein-protein interactions

ABSTRACT: Proximity dependent biotinylation is an important method to study protein-protein interactions in cells, for which an expanding number of applications has been proposed. The laborious and time consuming sample processing has limited project sizes so far. Here, we introduce an automated workflow on a liquid handler to process up to 96 samples at a time. The automation does not only allow higher sample numbers to be processed in parallel, but also improves reproducibility and lowers the minimal sample input. Furthermore, we combined automated sample processing with shorter liquid chromatography gradients and data-independent acquisition to increase analysis throughput and enable reproducible protein quantitation across a large number of samples. We successfully applied this workflow to optimise the detection of proteasome substrates by proximity-dependent labelling.

INSTRUMENT(S): Orbitrap Exploris 480

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Therese Dau

PROVIDER: MSV000093649 | MassIVE | Tue Dec 12 07:19:00 GMT 2023

SECONDARY ACCESSION(S): PXD047757

REPOSITORIES: MassIVE

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Automated workflow for BioID improves reproducibility and identification of protein-protein interactions

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