Published May 6, 2026
| Version v1
Dataset
Open
LOTRSeq: Processed and Annotated Single‑Cell RNA‑seq Data (Seurat RData Object)
Authors/Creators
-
1.
QIMR Berghofer Medical Research Institute
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2.
Royal Brisbane and Women's Hospital
Description
This dataset contains 10x Genomics Chromnium 3' single-cell RNA sequencing (scRNA-seq) data and Nanopore long read sequencing transcript-derived genotyping from diagnostic CD34⁺ bone marrow samples. It includes n = 8 JAK2V617F chronic phase (CP) MPN patients (1 ET, 4 PV, 1 PMF, 2 sMF), n = 4 post-MPN AML samples. It also contains n = 6 CD34⁺ healthy controls (from Ainciburu et al., 2023). Two patients (SA1 and SA2) are represented by paired chronic phase (CP) and leukemic transformation (LT) samples.
All data have been quality filtered, normalized, integrated, clustered, and annotated.
Files
Files
(4.2 GB)
| Name | Size | Download all |
|---|---|---|
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md5:4a25e4c8b9b40e75e8667735229fe1bd
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4.2 GB | Download |
Additional details
Identifiers
Related works
- Is published in
- Dataset: 10.1182/bloodadvances.2025018902 (DOI)
Funding
- National Health and Medical Research Council
- NHMRC Investigator Grant 1195987
- Cancer Council Queensland
- Cancer Council Queensland fellowship 2025829
- Haematology Society of Australia and New Zealand
- HSANZ/Leukaemia Foundation PhD scholarship
Dates
- Available
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2026-05-06
Software
- Repository URL
- https://github.com/JStrau/LOTRSeq/
- Programming language
- R
- Development Status
- Active
References
- Single cell long read genotyping of transcripts reveals discrete mechanisms of clonal evolution in post-MPN AML Julian Grabek, Jasmin Straube, Leanne Cooper, Rohit Haldar, Ranran Zhang, Inken Dulige, Matthew Barker, Will Gatehouse, Helen Christensen, Gerlinda Amor, Victoria Y. Ling, Caroline McNamara, David M. Ross, Andrew Perkins, Megan J. Bywater, Steven W. Lane bioRxiv 2025.08.18.670417; doi: https://doi.org/10.1101/2025.08.18.670417