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Separation of chronic myeloid leukemia stem cells from normal hematopoietic stem cells at single-cell resolution

We provide whole exome DNA sequening data in fastq format for 23 clinical samples of chronic myeloid leukemia stem cells (CML-SC) plus two buccal swipes derived normal samples. CML samples are comprised of 4 to 8 replicates from two patients, at diagnosis and after treatment. Single CML stem cells before treatment and single non-transformed hematopoietic stem cells (HSC) at remission were selected from bone marrow samples by FACS, according to newly identified genetic markers CD33+CD26+ at diagnosis and CD33+CD26-/CD33-CD26- at remission. WES libraries of colony forming assays derived CML-SC and HSC populations were prepared using Agilent SureSelect Human All Exon V6 kit and sequenced running 150 cycles (2x 75bp paired-end) on an Illumina NextSeq 500 platform.

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Access to sequencing reads is available by application to the "CML-SC and HSC" study data access committee.

The "CML-SC and HSC" data access committee will consider applications for access to data sets stored in the European Genome-phenome Archive (EGA). Access to data will be granted to qualified researchers for appropriate use. A qualified researcher refers to a scientist who is employed, or a student enrolled at, or legitimately affiliated with an academic, non-profit or government institution, or a commercial company. Each application will be assessed to determine if: - It has been submitted by a qualified researcher or researchers, embedded in a recognised research institution that can provide institutional responsibility for appropriate research governance - The project described constitutes biomedical research in the context of the consent process; It breaches any of the ethical permissions or restrictions in the consent forms for any samples - It has the potential to produce information that will enable identification of individual participants

Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
EGAS00001006904 Other

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Located in
EGAF00007885673 fastq.gz 2.2 GB
EGAF00007885674 fastq.gz 2.2 GB
EGAF00007885675 fastq.gz 2.2 GB
EGAF00007885676 fastq.gz 2.2 GB
EGAF00007885677 fastq.gz 2.3 GB
EGAF00007885678 fastq.gz 2.4 GB
EGAF00007885679 fastq.gz 2.2 GB
EGAF00007885680 fastq.gz 2.4 GB
EGAF00007885681 fastq.gz 2.3 GB
EGAF00007885682 fastq.gz 2.3 GB
EGAF00007885683 fastq.gz 2.2 GB
EGAF00007885684 fastq.gz 2.2 GB
EGAF00007885685 fastq.gz 2.2 GB
EGAF00007885686 fastq.gz 2.2 GB
EGAF00007885687 fastq.gz 2.2 GB
EGAF00007885688 fastq.gz 2.2 GB
EGAF00007885689 fastq.gz 2.2 GB
EGAF00007885690 fastq.gz 2.2 GB
EGAF00007885691 fastq.gz 2.2 GB
EGAF00007885692 fastq.gz 2.3 GB
EGAF00007885693 fastq.gz 2.2 GB
EGAF00007885694 fastq.gz 2.2 GB
EGAF00007885695 fastq.gz 2.2 GB
EGAF00007885696 fastq.gz 2.2 GB
EGAF00007885697 fastq.gz 2.2 GB
EGAF00007885698 fastq.gz 2.2 GB
EGAF00007885699 fastq.gz 2.2 GB
EGAF00007885700 fastq.gz 2.3 GB
EGAF00007885701 fastq.gz 2.2 GB
EGAF00007885702 fastq.gz 2.3 GB
EGAF00007885703 fastq.gz 2.2 GB
EGAF00007885704 fastq.gz 2.3 GB
EGAF00007885705 fastq.gz 2.2 GB
EGAF00007885706 fastq.gz 2.2 GB
EGAF00007885707 fastq.gz 2.2 GB
EGAF00007885708 fastq.gz 2.3 GB
EGAF00007885709 fastq.gz 2.2 GB
EGAF00007885710 fastq.gz 2.3 GB
EGAF00007885711 fastq.gz 2.2 GB
EGAF00007885712 fastq.gz 2.2 GB
EGAF00007885713 fastq.gz 2.2 GB
EGAF00007885714 fastq.gz 2.3 GB
EGAF00007885715 fastq.gz 2.2 GB
EGAF00007885716 fastq.gz 2.3 GB
EGAF00007885717 fastq.gz 2.2 GB
EGAF00007885718 fastq.gz 2.3 GB
EGAF00007885719 fastq.gz 2.2 GB
EGAF00007885720 fastq.gz 2.2 GB
EGAF00007885721 fastq.gz 2.2 GB
EGAF00007885722 fastq.gz 2.3 GB
50 Files (111.8 GB)