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PXD037227

PXD037227 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitlePhospho heavy-labeled-spiketide FAIMS stepped-CV DDA (pHASED) provides real-time phosphoproteomics data to aid in cancer drug selection
DescriptionGlobal high-throughput phosphoproteomic profiling is increasingly being applied to cancer specimens as a means to identify the oncogenic signaling cascades responsible for promoting disease initiation and disease progression; pathways that are often invisible to genomics analysis. Hence, phosphoproteomic profiling has enormous potential to inform and improve individualized anti-cancer treatment strategies. However, to achieve the adequate phosphoproteomic depth and coverage necessary to identify the activated, and hence, targetable kinases responsible for driving oncogenic signaling pathways; affinity phosphopeptide enrichment techniques are required and often coupled with offline high-pressure liquid chromatographic (HPLC) separation prior to nanoflow liquid chromatography–tandem mass spectrometry (nLC-MS/MS). These complex and time-consuming procedures, limit the utility of phosphoproteomics for the analysis of individual cancer patient specimens in real-time, and restrict phosphoproteomics to specialized laboratories often outside of the clinical setting. To address these limitations, here we have optimized a new protocol, phospho-Heavy-labeled-spiketide FAIMS Stepped-CV DDA (pHASED), that employs online phosphoproteome deconvolution using high-field asymmetric waveform ion mobility spectrometry (FAIMS) and internal phosphopeptide standards to provide accurate label-free quantitation (LFQ) data in real-time. Compared with traditional LFQ using shotgun phosphoproteomics workflows, pHASED provided increased phosphoproteomic depth and coverage (phosphopeptides = 4,617 pHASED, 2,789 LFQ), whilst eliminating the variability associated with offline prefractionation. pHASED was optimized using tyrosine kinase inhibitor (sorafenib) resistant isogenic FLT3-mutant acute myeloid leukemia (AML) cell line models. Bioinformatic analysis identified differential activation of the Serine/threonine protein kinase ataxia-telangiectasia mutated (ATM) pathway, responsible for sensing and repairing DNA damage in sorafenib-resistant AML cell line models, thereby uncovering a potential therapeutic opportunity. Herein, we have optimized a rapid, reproducible, and flexible protocol for the characterization of complex cancer phosphoproteomes in real-time; a step towards the implementation of phosphoproteomics in the clinic to aid in the selection of anti-cancer therapies for patients.
HostingRepositoryPRIDE
AnnounceDate2023-11-14
AnnouncementXMLSubmission_2023-11-14_08:58:35.915.xml
DigitalObjectIdentifierhttps://dx.doi.org/10.6019/PXD037227
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterDilana Staudt
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListphosphorylated residue
InstrumentQ Exactive HF
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-10-10 06:51:24ID requested
12023-02-23 17:00:26announced
22023-11-14 08:58:36announced2023-11-14: Updated project metadata.
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: cancer, pHASED, clinical phosphoproteomics, combination therapy,Phosphoproteomics, resistance, ATM, acute myeloid leukemia, drug targets, oncogenic signaling
Contact List
Matt Dun
contact affiliation1School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, NSW, 2308, Australia 2 Precision Medicine Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, 2305, Australia
contact emailmatt.dun@newcastle.edu.au
lab head
Dilana Staudt
contact affiliationUniversity of Newcastle
contact emaildilana.staudtbarreto@uon.edu.au
dataset submitter
Full Dataset Link List
Dataset FTP location
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