Single Cell Transcriptomic Analysis of the Histone H3 K27M Mutation in Pre-Leukemic Hematopoietic Stem Cells
Bibliographic record
Abstract
Acute myeloid leukemia (AML) develops in a step-wise manner from pre-leukemic clonal expansion to full-blown disease driven by aberrant epigenetic changes. Indeed, regulators of the epigenome such as DNMT3A, TET2, IDH1/2, EZH2 and ASXL1 are often mutated in pre-leukemia and myeloid malignancies. We and others identified K27M/I mutations in histone H3 in AML (Boileau et al. Nat Commun, 2019; Lehnertz et al. Blood, 2017). We demonstrated that K27 mutations are found in pre-leukemic hematopoietic stem cells (HSCs), are enriched in secondary AML, expand the functional human HSC pool and increase leukemic aggressiveness. Transcriptomic and epigenomic analysis determined that K27 mutations alter gene expression through a global decrease in promoter H3K27 tri-methylation and a gene-specific increase in H3K27 acetylation in leukemic cells (Boileau et al. Nat Commun, 2019). Here, we have analyzed the effects of the K27M mutation on HSCs at the single-cell level to understand its role in pre-leukemic clonal expansion. Healthy CD34+CD38- human cord blood cells were transduced with HIST1H3H WT or K27M and injected intrafemorally into sub-lethally irradiated NSG mice. After 14 weeks, bone marrow cells from the femur were collected and sorted for CD34+ transduced (GFP+) cells. Single-cell transcriptomics were performed by generating gene expression libraries from ~8,000 CD34+ cells using the 10X Genomics technology and sequenced using HiSeq4000. We have performed initial clustering and dimensionality reduction (t-SNE and UMAP) and identified 10 and 11 distinct clusters in the WT and K27M samples, respectively. Gene sets distinguishing the individual clusters have been determined. Using published gene lists for primitive hematopoietic cell types, the clusters have been assigned to specific cell types such as HSC, granulocyte-monocyte progenitors (GMP), common myeloid progenitors (CMP), multi-lymphoid progenitors (MLP) and megakaryocyte-erythroid progenitors (MEP) (Laurenti et al. Nat Immunol, 2013). Preliminary joint clustering analysis indicates the presence of two distinct clusters for the WT and K27M samples that were both assigned as "HSCs" in individual clustering. Further analysis to identify the differences in the clusters and cell populations between WT and K27M samples is being performed and will be presented at this meeting. Overall, this single-cell transcriptomic analysis will aid in determining the mechanism of action of the K27M mutant histone in pre-leukemic HSC clonal expansion. In addition, we will be performing similar single-cell analysis on HSCs expressing mutant ASXL1 as a comparison. Further understanding of the role of mutations in epigenetic regulators, such as histone H3 and ASXL1, in pre-leukemic clonal hematopoiesis will provide valuable insight on how to better prevent and treat AML and other myeloid malignancies. Disclosures No relevant conflicts of interest to declare.
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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 | 0.000 |
| 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".