Mutational landscape of the transcriptome offers putative targets for immunotherapy of myeloproliferative neoplasms
In this study, we aimed to comprehensively characterize in 113 myeloproliferative neoplasms (MPN) patients the mutational landscape of the granulocyte transcriptome using RNA sequencing data. We implemented workflows for fusion and variant calling, and differential splicing analysis for patients with hotspot SF3B1 mutations. Finally, we characterized the neoantigen landscape on individualized level taking each patient's HLA genotype (derived from the same RNA-seq dataset) into account.
- Type: Other
- Archiver: European Genome-Phenome Archive (EGA)
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 |
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EGAD00001004788 | Illumina HiSeq 2000 | 145 |
Publications | Citations |
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Mutational landscape of the transcriptome offers putative targets for immunotherapy of myeloproliferative neoplasms.
Blood 134: 2019 199-210 |
46 |
PD-L1 overexpression correlates with JAK2-V617F mutational burden and is associated with 9p uniparental disomy in myeloproliferative neoplasms.
Am J Hematol 97: 2022 390-400 |
11 |
Interleukin-1 contributes to clonal expansion and progression of bone marrow fibrosis in JAK2V617F-induced myeloproliferative neoplasm.
Nat Commun 13: 2022 5347 |
20 |