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PXD017346

PXD017346 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleSelection of Heating Temperatures Improves the Sensitivity of Proteome Integral Solubility Alteration (PISA) Assay
DescriptionThe thermal shift assay is a robust method of discovering protein-ligand interactions by measuring the alterations in protein thermal stability under various conditions. Several thermal shift assays have been developed and their throughput has been advanced greatly by the rapid progress in tandem mass tag-based quantitative proteomics. A recent paper by Gaetani et al. (J Proteome Res 2019, 18 (11), 4027-4037) introduced proteome integral solubility alteration (PISA) assay, further increasing throughput and simplifying the data analysis. Yet, it remains unclear how fold changes (integral treated samples versus integral control samples) perform in this assay. We show that fold changes have compromised linearity with ΔTm (shift in melting points) by simulation, and the magnitudes of the fold changes are inherently small in PISA assay, which is a challenge for quantitation. Both simulation and experimental results show that the selection of heating temperatures can tackle the small fold change problem and improve the sensitivity and specificity of the PISA assay.
HostingRepositoryPRIDE
AnnounceDate2020-04-06
AnnouncementXMLSubmission_2020-04-30_03:35:33.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterJiaming Li
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListiodoacetamide derivatized residue
InstrumentOrbitrap Fusion
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-01-31 01:46:02ID requested
12020-04-05 23:23:55announced
22020-04-30 03:48:54announced2020-04-30: Updated publication reference for PubMed record(s): 32243163.
Publication List
Li J, Van Vranken JG, Paulo JA, Huttlin EL, Gygi SP, Selection of Heating Temperatures Improves the Sensitivity of the Proteome Integral Solubility Alteration Assay. J Proteome Res, 19(5):2159-2166(2020) [pubmed]
Keyword List
submitter keyword: Proteome Integral Solubility Alteration (PISA) Assay, human cell line lysate, LC-MS/MS
Contact List
Steven P Gygi
contact affiliationDepartment of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
contact emailSteven_Gygi@hms.harvard.edu
lab head
Jiaming Li
contact affiliationHarvard Medical School
contact emailjiaming_li@hms.harvard.edu
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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