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Tracking of donor and recipient immune and leukemia phenotypes after allogeneic stem cell transplantation using mitochondrial DNA mutations. [ASAP-Seq 3]

GSE234555 Homo sapiens (human) Other 14 samples Submitted 2024/08/31 Platform GPL24676
At a glance

human · 14 samples

Organism
Homo sapiens (human)
Samples
14 samples: 14 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Paper
Tracking Rare Single Donor and Recipient Immune and Leukemia Cells after Allogeneic Hematopoietic Cell Transplantation Using Mitochondrial DNA MutationsBlood cancer discovery · 2024
Summary (written by the submitters)
Mitochondrial DNA mutations (mtDNA) enable deconvolution of donor- and recipient-derived single cell profiles. Here, we provide examples for sensitive donor-recipient deconvolution of peripheral blood and bone marrow ASAP-seq profiles in the context of incipient and overt AML relapse following allogeneic hematopoietic stem cell transplantation. Further, using single cell DNA sequencing (Tapestri), we demonstrate co-evolution of mtDNA and somatic nuclear DNA mutations in relapsed CLL post-HSCT.
Published in
Tracking Rare Single Donor and Recipient Immune and Leukemia Cells after Allogeneic Hematopoietic Cell Transplantation Using Mitochondrial DNA Mutations
Penter L, Cieri N, Maurer K et al. · Blood cancer discovery 2024 · PMID 39236287 · doi:10.1158/2643-3230.BCD-23-0138
This dataset
Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE234555_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Also filed as BioProject PRJNA982044. Searching any of these in the dataset finder brings you back here.

Study design
14 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 14 sample titles: 14 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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