<HashMap><database>MassIVE</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://massive-ftp.ucsd.edu/v09/MSV000097955/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><submitter>Midhat S Farooqi</submitter><full_dataset_link>https://massive.ucsd.edu/ProteoSAFe/dataset.jsp?task=9d2254e0b3234576a23d3eeacc459a99</full_dataset_link><submitter_email>msfarooqi@cmh.edu</submitter_email><sample_protocol></sample_protocol><repository>MassIVE</repository><file_size>52</file_size><ptm_modification>UNIMOD:4 - "Iodoacetamide derivative."</ptm_modification><ptm_modification>UNIMOD:35 - "Oxidation or Hydroxylation."</ptm_modification><data_protocol></data_protocol><omics_type>Proteomics</omics_type><instrument_platform>Orbitrap Ascend</instrument_platform><species>Homo Sapiens (ncbitaxon:9606)</species><submitter_affiliation>Children's Mercy Hospital</submitter_affiliation><additional_accession>PXD064162</additional_accession></additional><is_claimable>false</is_claimable><name>Integrated multi-omic analysis reveals novel subtype-specific regulatory interactions in pediatric B-cell acute lymphoblastic leukemia</name><description>In this study, we performed proteomic and phosphoproteomic profiling of B-cell acute lymphoblastic leukemia (B-ALL) samples collected at diagnosis and remission from pediatric leukemia patients with one of two subtypes of B-ALL: BCR::ABL1-like (Ph-like) and ETV6::RUNX1. We analyzed each dataset, as well as existing RNAseq data at diagnosis, to identify subtype-specific features, including increased calcium-dependent signaling in Ph-like samples. We then performed an integrated analysis of all three datasets, which enabled us to identify multiple layers of regulation, including subtype-specific phosphorylation of known cancer-associated proteins. Taken together, these data add to our understanding of the molecular profile of Ph-like and ETV6::RUNX1 B-ALL, demonstrating the utility of multi-omic comparison in pediatric leukemia subtype characterization. </description><dates><publication>Wed May 21 11:48:00 BST 2025</publication></dates><accession>MSV000097955</accession><cross_references/></HashMap>