Microenvironment Determines Myeloid-Erythroid Lineage Switch in MN1 Leukemia
Bibliographic record
Abstract
Abstract Transcriptional control of hematopoietic lineage fate relies on the integration of a multitude of intra- and extracellular signals. Interestingly, the leukemic phenotype of MLL-rearranged leukemias has recently been shown also to depend on signals from the microenvironment or secondary mutations. To test whether the microenvironement more generally impacts on leukemic phenotype and whether disruption of cytokine signaling could provide an antileukemic target, we exploited the MN1 model of AML under defined genetically modified microenvironmental conditions. Constitutive expression of MN1 in murine bone marrow rapidly induces myeloid leukemia accompanied by an early-onset severe anemia (Heuser et al. Blood 2007). Here we describe that FLT3 and c-kit signaling direct MN1 expressing cells towards the myeloid lineage whereas loss of both FLT3 and c-kit signaling directs MN1 expressing cells to an immature stage of the erythroid lineage. In addition we identify the N-terminus of MN1 as the critical domain that blocks terminal erythroid differentiation. Based on the finding that murine MN1-expressing bone marrow cell lines can be maintained in FLT3-ligand or low concentrations of stem cell factor (SCF) the requirement of both FLT3 and c-kit signaling for MN1 leukemias was investigated. Cells from FLT3-ligand −/− and c-kit mutated W41/W41 mice were used for transduction with MN1, and wildtype or FLT3-ligand −/− mice were used as recipients of MN1-transformed leukemic cells. Constitutive expression of MN1 in wildtype, FLT3-ligand −/−, or c-kit-deficient cells resulted in leukemic death after 30 to 50 days. Strikingly, constitutive expression of MN1 in W41/W41 cells and transplantation of these cells into FLT3-ligand −/− mice resulted in overt erythroleukemia, whereas expression of MN1 in W41/W41 or FLT3-ligand −/− and transplantation into wildtype recipients, or expression of MN1 in wildtype cells and transplantation into FLT3-ligand −/− cells resulted in myeloid leukemias. Quantitative gene expression analysis of genes associated with erythroid differentiation from leukemic bone marrow demonstrated that Gata-1, but not β-major globin or Klf-1 was significantly upregulated in the erythroleukemias compared to all other myeloid leukemias (p<.001), suggesting that erythroid differentiation was blocked at an early stage. A detailed structure-function analysis of MN1 was employed to identify the domain of MN1 required for the erythroid differentiation block. Deletion constructs of consecutive portions of 200 amino acids of MN1 were functionally characterized for their capacity to induce anemia and leukemia in mice and to block myeloid differentiation in vitro. Interestingly, deletion of the N-terminus of MN1 resulted in declining donor-derived WBC engraftment in mice but increasing donor-derived RBCs in peripheral blood up to 90% over the course of 16 weeks, whereas the other deletions did not show this pattern. Quantitative gene expression analysis of MN1-delN compared to full-length MN1 expressing cells from bone marrow four weeks after transplantation showed a significant increase of Gata-1, KLF-1, and b-major globin expression in MN1-delN expressing cells (p<.001). The ability to block myeloid differentiation was tested by coinfection of bone marrow cells with NUP98HOXD13 and either control vector, full-length MN1 or MN1-delN and determining the IC50 of ATRA. Whereas the IC50 for the control was 0.1 μM, it was >1000 fold higher for both full-length MN1 and MN1-delN, suggesting that the function of MN1 to block myeloid and erythroid differentiation is encoded in different domains of the protein. In summary, loss of FLT3-ligand and impairment of c-kit signaling convert MN1 leukemias from myeloid to erythroid phenotype, but do not change the course of the disease. In contrast, N-terminal deletion of MN1 abrogates the erythroid differentiation block and prevents leukemia, but retains the myeloid differentiation block. Thus, we demonstrate an important role of microenvironmental signals for lineage choice in leukemogenesis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".