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Single-Cell DNA Methylation Phylogeny Uncovers Alternative Epigenetic Pathways for MDS Transformation to AML

This project investigates the transformation of myelodysplastic syndrome (MDS) to secondary acute myeloid leukemia (sAML), particularly after hypomethylating agent (HMA) therapy, a process linked to therapy resistance and poor survival using single-cell DNA methylation data together with sc-DNA, sc-Prot and sc-RNA data.The findings reveal novel epigenetic drivers of therapy resistance and sAML.

Type: Epigenetics
Archive: European Genome-phenome Archive (EGA)

4 Datasets

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD50000001716	This dataset is comprised of 15 samples from single-cell protein sequencing data. There are 5 different patients with different timepoints (diagnosis, post-treatment and progression to AML). All files are raw FASTQ filessequenced by NovaSeq 6000/X (PE-150 configuration, Novogene).	Illumina NovaSeq 6000	15
EGAD50000001717	This dataset is comprised of 15 samples from single-cell methylation sequencing data. There are 5 different patients with different timepoints (diagnosis, post-treatment and progression to AML). All files are raw FASTQ filessequenced by NovaSeq 6000/X (PE-150 configuration, Novogene).	Illumina NovaSeq 6000	15
EGAD50000001718	This dataset is comprised of 15 samples from single-cell DNA sequencing data. There are 5 different patients with different timepoints (diagnosis, post-treatment and progression to AML). All files are raw FASTQ filessequenced by NovaSeq 6000/X (PE-150 configuration, Novogene).	Illumina NovaSeq 6000	15
EGAD50000001719	This dataset is comprised of 10 samples from single-cell protein sequencing data. There are 5 different patients with different timepoints (diagnosis and post-treatment). All files are raw FASTQ filessequenced by NovaSeq 6000/X (PE-150 configuration, Novogene).	Illumina NovaSeq 6000	10