Figure 3.
CombiFlow: combinatorial AML-specific PM expression profiles allow longitudinal tracking of clones. (A) Overview of the collected flow data over time. The shared backbone is always included. For the 5 markers and the EuroFlow markers, the composition differs from patient to patient. (B) Infinicyt-based merging of flow data by expression of the backbone markers that are included in every tube. Viable, single cells were gated and used as input data. In the merged file, markers measured in separate tubes can be plotted against one another. A PCA based on marker expression can identify genetically distinct subclones. (C) Expression data from the merged file is used to cluster cells by using the FlowSOM algorithm. Normalized expression per cluster is obtained, and created clusters are visualized in a tSNE landscape. (D) Clusters are assigned to a condition (diagnosis, relapse, or healthy), and the total tSNE landscape is separated by sample. Normalized expression of all clusters grouped by condition is obtained. FSC-A, forward scatter area; FSC-H, forward scatter height; SSC-A, side scatter area.

CombiFlow: combinatorial AML-specific PM expression profiles allow longitudinal tracking of clones. (A) Overview of the collected flow data over time. The shared backbone is always included. For the 5 markers and the EuroFlow markers, the composition differs from patient to patient. (B) Infinicyt-based merging of flow data by expression of the backbone markers that are included in every tube. Viable, single cells were gated and used as input data. In the merged file, markers measured in separate tubes can be plotted against one another. A PCA based on marker expression can identify genetically distinct subclones. (C) Expression data from the merged file is used to cluster cells by using the FlowSOM algorithm. Normalized expression per cluster is obtained, and created clusters are visualized in a tSNE landscape. (D) Clusters are assigned to a condition (diagnosis, relapse, or healthy), and the total tSNE landscape is separated by sample. Normalized expression of all clusters grouped by condition is obtained. FSC-A, forward scatter area; FSC-H, forward scatter height; SSC-A, side scatter area.

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