Single-Cell proteomics discerns patient-specific subpopulations in pediatric B-cell acute lymphoblastic leukemia
Jayousi, F.; Kraus, F.; Conrrero, A.; Bush, J. W.; Setiadi, A.; Lange, P. F.
Show abstract
B-cell acute lymphoblastic leukemia (B-ALL) is the most common childhood cancer, representing ~30% of pediatric cancers and ~80-85% of pediatric ALL cases. Despite high remission rates, relapse remains a major challenge, often driven by therapy-resistant subpopulations, which are masked in bulk analysis, thus limiting our understanding of disease progression and optimal therapeutic intervention. Precision oncology enables proteome-level characterization of patient specific cancer samples and their subpopulations, essential for improving prognostic accuracy and individualized therapies. Single-cell proteomics by mass spectrometry (SCP-MS) enables quantification of hundreds to thousands of proteins at single cell level, uncovering cellular programs that may contribute to minimal residual disease (MRD) and relapse. Here, employing single-cell sorting of leukemic cells coupled with high-sensitivity SCP-MS, we profile individual leukemic blasts and normal immature B-cells from pediatric B-ALL bone marrow aspirates alongside age-matched controls. SCP-MS deconvoluted cellular heterogeneity and revealed subpopulations with variable leukemia-marker expression, highlighting its potential for early detection of relapse-prone phenotypes and personalized pediatric therapy.
Matching journals
The top 11 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Exploring Mechanisms of Action in Combinatorial Therapies through Solubility Alterations: Advancing AML Treatment 96%
- Proteogenomics refines the molecular classification of chronic lymphocytic leukemia 94%
- Chromatin mapping and single-cell immune profiling define the temporal dynamics of ibrutinib drug response in chronic lymphocytic leukemia 94%
Similar papers in this journal
- Discovering novel calcineurin inhibitors through quantitative mapping of protein-peptide affinity landscapes 92%
- Seroconversion stages COVID19 into distinct pathophysiological states 92%
- Modular DNA Barcoding of Nanobodies Enables Multiplexed in situ Protein Imaging and High-throughput Biomolecule Detection 92%
Similar papers in this journal
- In situ Proteomics Unveils Specialized Domains for Extrasynaptic Signaling on Neuronal Cilia 92%
- Integrating Single-Cell Biophysical and Transcriptomic Features to Resolve Functional Heterogeneity in Mantle Cell Lymphoma 92%
- Single Cell Spatial Transcriptomics Reveals Immunotherapy-Driven Bone Marrow Niche Remodeling in AML 92%
Similar papers in this journal
- AI-powered Deep Visual Proteomics reveals critical molecular transitions in pancreatic cancer precursors 94%
- Catalytic inhibition of KAT6/KAT7 enhances the efficacy and overcomes primary and acquired resistance to Menin inhibitors in MLL leukaemia 92%
- Precision combination therapies based on recurrent oncogenic co-alterations 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.