SnoRNAs are highly expressed in AML and have implications in leukemogenesis and leukemic maintenance. SnoRNAs can be further processed into snoRNA-derived RNAs (sdRNAs). The role of sdRNAs in AML and healthy hematopoiesis remains largely elusive. We characterized sdRNA and snoRNA levels in hematopoietic stem and progenitor cells (HSPCs), healthy WBCs, and 159 intensively treated AML patient samples at initial diagnosis. HSPCs, healthy WBCs, and AML blasts could be differentiated by their sdRNA expression pattern in a cell-type-specific manner. In AML, high sd3'-RNA/snoRNA-host gene ratios were associated with an inverse patient outcome. Particularly, in NPM1-mutated patients with favorable risk stratification and good initial therapy response, high sd3'-RNA ratios identified a subgroup with inferior outcome. High sd3'-RNA ratios were associated with altered oncogenic, inflammatory, and immune response signaling. Forced expression of single sdRNAs, such as sd3'-SNORD78, sd3'-SNORD76, and sd5'-SNORD93, enhanced clonogenic potential in AML and drove sdRNA-specific gene expression signatures in both AML and healthy HSPCs. Exemplarily, we propose and characterize NUDT21, an important regulator of alternative polyadenylation and oncogenic gene expression, as a downstream target of sd3'-SNORD78 in AML. Our data introduce sdRNAs as standalone regulatory effector molecules in healthy hematopoiesis and AML.
R. Zinz, Christian Rohde, C. Pauli et al.· Leukemia· 0 citations
To sustain blood formation, hematopoietic stem and progenitor cells (HSPCs) coordinate a multitude of cell biological processes, from cell cycle control and stress responses to lineage priming. While many genetic regulators of high-level HSPC function have been identified, how HSPCs coordinate more basal cell biological programs, and how such programs relate to stem cell function, remains incompletely understood. Here we use Perturb-seq to profile the transcriptional consequences of targeting 520 genes by CRISPRi in primary mouse HSPC cultures. We developed an analytical strategy to separate perturbation-induced changes in cell-state abundance and clonal heterogeneity from cell-state-local transcriptional effects. From these local perturbation signatures, we identified 19 gene regulatory programs (GRPs) that are defined by co-regulation in response to genetic perturbation, in contrast to co-expression or human curation, and align well with cell biological processes. By decomposing gene expression data from functional and clinical studies into program activity, we show that GRP activities associate with, and predict, phenotypes such as clonal output after transplantation, as well as survival and drug response in retrospective acute myeloid leukemia (AML) cohorts. Together, our study establishes perturbation-derived co-regulation programs as an interpretable framework for linking genetic regulators, cell-biological processes and stem-cell-associated phenotypes.
Joseph S. Bowness, Aina Bernal Martínez, Jan Bařinka et al.· bioRxiv· 0 citations
TFiT (tumor-reactive features in T cells), a transcriptional classifier that identifies tumor-reactive T cells and stratifies immunotherapy, but not chemotherapy, response across independent MM and AML cohorts, supporting its specificity for T cell-mediated tumor control.
N. Kehl, T. Wagner, Simon Steiger et al.· Cancer Cell· 1 citation
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