MassIVE MSV000097955

Complete Public PXD064162

Integrated multi-omic analysis reveals novel subtype-specific regulatory interactions in pediatric B-cell acute lymphoblastic leukemia

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. [doi:10.25345/C5F47H64D] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: B-cell acute lymphoblastic leukemia ; multiomics ; phosphoproteomics ; DatasetType:Proteomics

Contact

Principal Investigators:
(in alphabetical order)
Midhat S Farooqi, Children's Mercy Hospital, USA
Submitting User: KUMC_Prot

Publications

Irina Pushel, Zachary S. Clark, Lisa A. Lansdon, Byunggil Yoo, Michaella J. Rekowski, Nicole M. Wood, Michael P. Washburn, Midhat S. Farooq.
Integrated Multi-Omic Analysis Reveals Novel Subtype-Specific Regulatory Interactions in Pediatric B-Cell Acute Lymphoblastic Leukemia.
Cancers 2026, 18(5), 813; https://doi.org/10.3390/cancers18050813.

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Experimental Design
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Identification Results
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Quantification Results
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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
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