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PXD026780 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProteomics analysis for RBM17 in acute myeloid leukemia
DescriptionAcute myeloid leukemia (AML) patients suffer from chemo-resistance, high relapse frequency, and low overall survival rate, outcomes driven by leukemic stem cells (LSCs). Understanding the molecular mechanisms that support these primitive leukemic cells is crucial for developing effective AML therapeutics. In the present study, we demonstrate that upregulation of the splicing factor RBM17 preferentially marks and sustains the primitive compartment of AML. We performed shotgun proteomics to characterize the proteome changes upon RBM17 knockdown in AMl cells. In addition, we used proteomics to analyze the proteome changes after knockdown of EIF4A2, a direct splicing substrate of RBM17 in AML cells.
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterYu Lu
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive HF
Dataset History
RevisionDatetimeStatusChangeLog Entry
02021-06-18 03:49:47ID requested
12022-08-12 05:53:34announced
Publication List
Liu L, Vujovic A, Deshpande NP, Sathe S, Anande G, Chen HTT, Xu J, Minden MD, Yeo GW, Unnikrishnan A, Hope KJ, Lu Y, The splicing factor RBM17 drives leukemic stem cell maintenance by evading nonsense-mediated decay of pro-leukemic factors. Nat Commun, 13(1):3833(2022) [pubmed]
Keyword List
submitter keyword: RBM17, EIF4A2, AML, acute myeloid leukemia, splicing
Contact List
Yu Lu
contact affiliationDepartment of Biochemistry and Biomedical Sciences McMaster University
contact emailyu.lu@mcmaster.ca
lab head
Yu Lu
contact affiliationMcMaster University
contact emailyu.lu@mcmaster.ca
dataset submitter
Full Dataset Link List
Dataset FTP location
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