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PXD018880

PXD018880 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleA PEROXO-Tag enables rapid isolation of peroxisomes from human cells
DescriptionPeroxisomes are metabolic organelles that perform a diverse array of critical functions in human physiology. Traditional isolation methods for peroxisomes can take more than one hour to complete and can be laborious to implement. To address this, we have now extended our prior work on rapid organellar isolation to peroxisomes via the development of a peroxisomally-localized 3XHA epitope tag (“PEROXO-Tag”) and associated immunoprecipitation (“PEROXO-IP”) workflow. Our PEROXO-IP workflow has excellent reproducibility, is easy to implement, and achieves highly rapid (~10 minutes post-homogenization) and specific isolation of human peroxisomes, which we characterize here via proteomic profiling. By offering speed, specificity, reproducibility, and ease of use, the PEROXO-IP workflow should facilitate studies on the biology of peroxisomes.
HostingRepositoryPRIDE
AnnounceDate2020-05-20
AnnouncementXMLSubmission_2020-05-19_23:28:45.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterElizabeth Boydston
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListmethylthiolated residue; phosphorylated residue; acetylated residue; monohydroxylated residue
InstrumentQ Exactive HF-X
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-04-28 17:17:58ID requested
12020-05-19 23:28:46announced
Publication List
Ray GJ, Boydston EA, Shortt E, Wyant GA, Lourido S, Chen WW, Sabatini DM, A PEROXO-Tag Enables Rapid Isolation of Peroxisomes from Human Cells. iScience, 23(5):101109(2020) [pubmed]
Keyword List
submitter keyword: Human HEK-293T, peroxisome, PEROXO-IP
Contact List
Sebastian Lourido
contact affiliationWhitehead Institute for Biomedical Research, Cambridge, MA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA
contact emaillourido@wi.mit.edu
lab head
Elizabeth Boydston
contact affiliationWhitehead Institute for Biomedical Research
contact emailliz@wi.mit.edu
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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