ArticleScientific reports2020
Single-cell analysis of childhood leukemia reveals a link between developmental states and ribosomal protein expression as a source of intra-individual heterogeneity.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 55 papers, 1 of them a synthesis that pooled it.
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55 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.
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- Single-cell analysis reveals multi-faceted features of B cell development, together with age-associated B cell subpopulations.Communications biology · 2026Article
- Low frequency and rare coding variants affect susceptibility and progression of childhood acute lymphoblastic leukemia.Cancer cell international · 2026Article
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- Remodeling of the immune microenvironment is linked to adverse outcome in pediatric T cell acute lymphoblastic leukemia.Nature communications · 2025Article
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- T-cell differentiation stage block bias confers hypermethylation and mediastinal preference in T-cell lymphoblastic lymphoma.Clinical and translational medicine · 2025Article
- Single-cell Transcriptional Atlas of Human Hematopoiesis Reveals Genetic and Hierarchy-Based Determinants of Aberrant AML Differentiation.Blood cancer discovery · 2025Article
- Multipotent lineage potential in B cell acute lymphoblastic leukemia is associated with distinct cellular origins and clinical features.Nature cancer · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Childhood acute lymphoblastic leukemia (cALL) is the most common pediatric cancer. It is characterized by bone marrow lymphoid precursors that acquire genetic alterations, resulting in disrupted maturation and uncontrollable proliferation. More than a dozen molecular subtypes of variable severity can be used to classify cALL cases. Modern therapy protocols currently cure 85-90% of cases, but other patients are refractory or will relapse and eventually succumb to their disease. To better understand intratumor heterogeneity in cALL patients, we investigated the nature and extent of transcriptional heterogeneity at the cellular level by sequencing the transcriptomes of 39,375 individual cells in eight patients (six B-ALL and two T-ALL) and three healthy pediatric controls. We observed intra-individual transcriptional clusters in five out of the eight patients. Using pseudotime maturation trajectories of healthy B and T cells, we obtained the predicted developmental state of each leukemia cell and observed distribution shifts within patients. We showed that the predicted developmental states of these cancer cells are inversely correlated with ribosomal protein expression levels, which could be a common contributor to intra-individual heterogeneity in cALL patients.
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