PXD047757

PXD047757 is an original dataset announced via ProteomeXchange.

Dataset Summary

Title	Automated workflow for BioID improves reproducibility and identification of protein-protein interactions
Description	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.
HostingRepository	MassIVE
AnnounceDate	2025-05-09
AnnouncementXML	Submission_2025-05-09_05:55:27.547.xml
DigitalObjectIdentifier
ReviewLevel	Non peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Leibniz FLI Proteomics
SpeciesList	scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606;
ModificationList	Oxidation; Carbamidomethyl
Instrument	Orbitrap Exploris 480

Dataset History

Revision	Datetime	Status	ChangeLog Entry
0	2023-12-12 07:19:10	ID requested
⏵ 1	2025-05-09 05:55:27	announced

Publication List

no publication

no publication

Keyword List

submitter keyword: BioID, proximity labelling, mass spectrometry, automation, high throughput

submitter keyword: BioID, proximity labelling, mass spectrometry, automation, high throughput

Contact List

Therese Dau
contact affiliation	Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), 07745, Jena,
contact email	therese.dau@leibniz-fli.de
lab head
Leibniz FLI Proteomics
contact affiliation	Leibniz FLI
contact email	proteomics@leibniz-fli.de
dataset submitter

Full Dataset Link List

MassIVE dataset URI
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MassIVE dataset URI

Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://massive-ftp.ucsd.edu/v06/MSV000093649/