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Progenitor like cell type of an MLL-EDC4 fusion in acute myeloid leukemia

<p>Transcriptome analysis by single cell sequencing provides valuable information on intratumor heterogeneity and developmental stages of acute myeloid leukemia (AML) as well as interactions of tumor cells with the microenvironment. However, it has been hardly applied to the subgroup of cases with translocations of the mixed lineage leukemia (<i>MLL</i>) gene for which the enhancer of mRNA decapping 4 (<i>EDC4</i>) gene&nbsp;was recently identified as a novel fusion partner <i>(MLL-EDC4</i>). In our study published in Blood Advances (Schuster et al., 2023; https://doi.org/10.1182/bloodadvances.2022009096), we compared different <i>MLL</i> translocations by single cell RNA sequencing of cells derived from peripheral blood or bone marrow. The <i>MLL</i>-<i>EDC4</i> positive cells almost exclusively showed a transcriptional profile of hematopoietic progenitor cells while leukemic cells of <i>MLL-MLLT3</i> and <i>MLL-ELL</i> fusions exhibited a more differentiated phenotype. The <i>MLL</i>-<i>EDC4</i> progenitor state was characterized by the upregulation of key transcriptional regulators in AML (<i>RUNX1, SOX4, HOPX</i>), target genes of <i>MYC</i> and interferon signaling as well as other genes known to play a critical role in hematopoiesis or leukemic stem cell activation (<i>CDK6, FLT3, NPM1</i>). Here, the scRNA-seq dataset of our study is provided. It contains six scRNA-seq read count matrices of the AML samples with MLL fusions as described in the table scRNA-seq_samples.xlsx. Further details are given in the publication associated with this dataset.&nbsp;</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4