Biology subjects

Veelken, H.

Publications and source records attributed to Veelken, H..

4 recordsLinked to original sources

bioRxiv2026

Spatial multi-omics reveals targetable immunosuppressive macrophage T-cell interactions in human AML bone marrow

The immunosuppressive bone marrow microenvironment is an important contributor to the limited success of immunotherapy in acute myeloid leukemia (AML), but the cellular interactions underlying AML immune evasion are incompletely understood. We therefore generated a single-cell spatial transcriptomic and proteomic atlas using 148 bone biopsies from 113 individuals comprising pediatric and adult AML at diagnosis and non-leukemic controls. We observed an expansion of regulatory T cells (Tregs) in AML, with stronger colocalization between Tregs and macrophages compared to non-leukemic bone marrow. Distinct cellular neighborhoods were enriched for myeloid progenitor-like cells together with macrophages and T cells, which correlated with higher macrophage and T cell immune checkpoint expression. Moreover, these neighborhoods were associated with specific AML subtypes, especially KMT2A-rearranged and RUNX1::RUNX1T1 AML. These spatial patterns were validated by identification of malignant cells via in situ fusion detection in RUNX1::RUNX1T1 cases. Functional experiments revealed that macrophages and AML cells not only actively recruit Tregs, but also promote naive T cell differentiation into Tregs. Spatially informed ligand-receptor analysis predicted the involvement of the Galectin-9 - CD44/TIM-3 axis in this immunosuppressive crosstalk, which was supported by in vitro inhibition of CD44 and/or TIM-3 preventing macrophage- and AML-induced Treg differentiation. Collectively, this comprehensive spatial map of the AML bone marrow identified tripartite crosstalk between AML, macrophages, and T cells mediated by the Galectin-9 - CD44/TIM-3 axis as a key component of the immunosuppressive microenvironment. Targeting Galectin-9 - CD44/TIM-3 interactions may be a promising strategy to overcome immune evasion and enhance immunotherapeutic success in AML. HighlightsO_LISpatial transcriptomic and proteomic atlas of pediatric and adult acute myeloid leukemia (AML) bone marrow C_LIO_LIIncreased colocalization of macrophages and regulatory T cells (Tregs) in AML C_LIO_LIMacrophages and AML cells induce differentiation of naive T cells to Tregs in vitro, which can be prevented by inhibition of CD44 or TIM-3 C_LI O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=166 SRC="FIGDIR/small/743431v1_ufig1.gif" ALT="Figure 1"> View larger version (47K): org.highwire.dtl.DTLVardef@14f313aorg.highwire.dtl.DTLVardef@290bd3org.highwire.dtl.DTLVardef@c749baorg.highwire.dtl.DTLVardef@1b955d0_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2024

CaClust: linking genotype to transcriptional heterogeneity of follicular lymphoma using BCR and exomic variants

Tumor tissues exhibit high genotypic and transcriptional heterogeneity, resulting from tumor evolution and affecting cancer progression and treatment. These two types of heterogeneity in follicular lymphoma were so far predominantly studied in separation. To comprehensively investigate the evolution and genotype to phenotype maps in follicular lymphoma, we introduce CaClust, a probabilistic graphical model that integrates deep whole exome, single-cell RNA and B-cell receptor sequencing data to infer clone genotypes, cell-to-clone mapping, and single-cell genotyping. CaClust outperforms a state-of-the-art model on simulated and patient data. In-depth analysis of 22492 single cells and whole exomes from four follicular lymphoma samples using CaClust gives insights into effects of driver mutations, follicular lymphoma evolution, and possible therapeutic targets. CaClust single-cell genotyping agrees with genotypes observed in an independent targeted resequencing experiment. Our approach is the first to evaluate the strength of genotype to phenotype links in follicular lymphoma in the evolutionary context of the disease.

bioinformatics↗

bioRxiv2022

Single cell guided deconvolution of bulk transcriptomics recapitulates differentiation stages of acute myeloid leukemia and predicts drug response

The diagnostic spectrum for AML patients is increasingly based on genetic abnormalities due to their prognostic and predictive value. However, information on the AML blast phenotype regarding their maturational arrest has started to regain importance due to its predictive power on drug responses. Here, we deconvolute 1350 bulk RNA-seq samples from five independent AML cohorts on a single-cell healthy BM reference and demonstrate that the morphological differentiation stage (FAB classification) could be faithfully reconstituted using estimated cell compositions (ECCs). Moreover, we show that the ECCs reliably predict ex-vivo drug resistances as demonstrated for Venetoclax, a BCL-2 inhibitor, resistance specifically in AML with CD14+ monocyte phenotype. We further validate these predictions using in-house proteomics data by showing that BCL-2 protein abundance is split into two distinct clusters for NPM1-mutated AML at the extremes of CD14+ monocyte percentages, which could be crucial for the Venetoclax dosing for these patients. Our results suggest that Venetoclax resistance predictions can also be extended to AML without recurrent genetic abnormalities (NOS), and possibly to MDS-related AML and secondary AML. Collectively, we propose a framework for allowing a joint mutation and maturation stage modeling that could be used as a blueprint for testing sensitivity for new agents across the various subtypes of AML.

cancer biology↗

bioRxiv2020

CACTUS: integrating clonal architecture with genomic clustering and transcriptome profiling of single tumor cells

BackgroundDrawing genotype-to-phenotype maps in tumors is of paramount importance for understanding tumor heterogeneity. Assignment of single cells to their tumor clones of origin can be approached by matching the genotypes of the clones to the mutations found in RNA sequencing of the cells. The confidence of the cell-to-clone mapping can be increased by accounting for additional measurements. Follicular lymphoma, a malignancy of mature B cells that continuously acquire mutations in parallel in the exome and in B-cell receptor loci, presents a unique opportunity to align exome-derived mutations with B-cell receptor clonotypes as an independent measure for clonal evolution. ResultsHere, we propose CACTUS, a probabilistic model that leverages the information from an independent genomic clustering of cells and exploits the scarce single cell RNA sequencing data to map single cells to given imperfect genotypes of tumor clones. We apply CACTUS to two follicular lymphoma patient samples, integrating three measurements: whole exome sequencing, single cell RNA sequencing, and B-cell receptor sequencing. CACTUS outperforms a predecessor model by confidently assigning cells and B-cell receptor clonotypes to the tumor clones. ConclusionsThe integration of independent measurements increases model certainty and is the key to improving model performance in the challenging task of charting the genotype-to-phenotype maps in tumors. CACTUS opens the avenue to study the functional implications of tumor heterogeneity, and origins of resistance to targeted therapies.

cancer biology↗