Study

The Causes of Clonal Blood Cell Disorders Study SCOR

Study ID Alternative Stable ID Type
EGAS00001002132 Cancer Genomics

Study Description

We will take a bone marrow aspirate and peripheral blood samples from a healthy patient aged around 60, and use flow cytometry to isolate 100 HSCs, 50 MEPs, and 50 GMPs. We will grow these up into colonies, then whole genome sequence each colony. Somatic mutations will act as a unique barcode for each clone. We will then design a panel for targeted resequencing of the mutations that we find. It will then be possible to look for these mutations in the peripheral blood over several years, to see the dynamics of how HSCs contribute to the peripheral blood in health.

Study Datasets 2 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
EGAD00001004086
We will take a bone marrow aspirate and peripheral blood samples from a healthy patient aged around 60, and use flow cytometry to isolate 100 HSCs, 50 MEPs, and 50 GMPs. We will grow these up into colonies, then whole genome sequence each colony. Somatic mutations will act as a unique barcode for each clone. We will then design a panel for targeted resequencing of the mutations that we find. It will then be possible to look for these mutations in the peripheral blood over several years, to see ... (Show More)
HiSeq X Ten,Illumina HiSeq 2500 207
EGAD00001006595
This dataset contains 160 single-cell derived blood colonies from two neonates and 6 adults. It also contains 18 samples that were used as matched normals to call mutations in NanoSeq data (dataset EGAD00001006459).
HiSeq X Ten,Illumina NovaSeq 6000 176

Who archives the data?

There are no publications available