bioRxivCancer BiologyPreprint
RNA splicing factor mutations drive myeloid neoplasm oncogenesis through protein complex poisoning
Pedro Luís MouraiD, Rui Mamede BrancaiD, Yaroslav Kaminskiy, Ioannis Siavelis, Kovi R Shrung, Sophia Hofmann, Christina Maria Perraki, Alexandra Argyriou, Sadaf Fazeli, Masahiro M Nakagawa, Teresa Mortera BlancoiD, Steffen BoettcheriD, Caroline KubaczkaiD, Thorsten M. SchlaegeriD, Maria CreignouiD, Indira BarbosaiD, Ann-Charlotte BjörklundiD, Mikaela Hillberg Widfeldt, Dennis A. Bosch, Sanne MassaariD, Mathijs Sanders, Fredrik Fagerström‐Billai, Grant Rowe, Petter S. WolliD, Sten Eirik W. JacobseniD, , Eva Hellström-Lindberg
Abstract
RNA splicing factor mutations (SFmut) are founding oncogenic events which cause RNA splicing errors with unpredictable gene expression dynamics. Despite extensive transcriptomic studies, SFmut cancer-initiating mechanisms remain elusive. Among SFmut cancers, myeloid neoplasms (MN) alone offer a setting where true cancer-driving SFmut stem cells can be identified, namely the hematopoietic stem cell (HSC). Within a cohort of 62 MN patients and 20 healthy donors, we conducted long/short-read single-cell transcriptomics (10X-ONT, n = 21) and immunophenotype-resolved low-cell proteomics (pauciproteomics, n = 78) to resolve gene expression, RNA splicing and protein expression dynamics across healthy and SFmut MN hematopoiesis. During hematopoietic differentiation, SFmut RNA mis-splicing decouples proteotranscriptomic dynamics in a mutation-specific manner. Pauciproteomics defines the functional effects of SFmut RNA mis-splicing on the protein layer, identifying early-stage protein effects which poison entire functional protein complexes and progressively disrupt the proteome-wide network during cellular maturation. Importantly, this information could neither be resolved nor predicted by transcriptomic analyses. Finally, we functionally validate the proteome dynamics of HSC through induced pluripotent stem cell culture models of early hematopoietic differentiation, identifying candidate mechanisms for SFmut oncogenesis. Overall, these data elucidate SFmut MN disease biology with unprecedented granularity, defining the molecular consequences of SFmut RNA mis-splicing and offering a generalizable framework for cancer stem cell studies.
- organism: human
- assay: scRNA-seq
- assay: long-read sequencing
- assay: proteomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: protein structure prediction
- approach: experimental assay
- Citations
- 1
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