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Integrative RNA-omics Discovers GNAS Alternative Splicing as a Phenotypic Driver of Splicing Factor-Mutant Neoplasms.

Cancer discovery · 2022 · Vol. 12 (3) · pp. 836-855

Abstract

Mutations in splicing factors (SF) are the predominant class of mutations in myelodysplastic syndrome (MDS), but convergent downstream disease drivers remain elusive. To identify common direct targets of missplicing by mutant U2AF1 and SRSF2, we performed RNA sequencing and enhanced version of the cross-linking and immunoprecipitation assay in human hematopoietic stem/progenitor cells derived from isogenic induced pluripotent stem cell (iPSC) models. Integrative analyses of alternative splicing and differential binding converged on a long isoform of GNAS (GNAS-L), promoted by both mutant factors. MDS population genetics, functional and biochemical analyses support that GNAS-L is a driver of MDS and encodes a hyperactive long form of the stimulatory G protein alpha subunit, Gαs-L, that activates ERK/MAPK signaling. SF-mutant MDS cells have activated ERK signaling and consequently are sensitive to MEK inhibitors. Our findings highlight an unexpected and unifying mechanism by which SRSF2 and U2AF1 mutations drive oncogenesis with potential therapeutic implications for MDS and other SF-mutant neoplasms. SF mutations are disease-defining in MDS, but their critical effectors remain unknown. We discover the first direct target of convergent missplicing by mutant U2AF1 and SRSF2, a long GNAS isoform, which activates G protein and ERK/MAPK signaling, thereby driving MDS and rendering mutant cells sensitive to MEK inhibition. This article is highlighted in the In This Issue feature, p. 587.

Publication Types

["Journal Article", "Research Support, N.I.H., Extramural", "Research Support, Non-U.S. Gov't", "Research Support, U.S. Gov't, Non-P.H.S."]

Keywords

[]

MeSH Terms

["Alternative Splicing", "Chromogranins", "GTP-Binding Protein alpha Subunits, Gs", "Humans", "Mitogen-Activated Protein Kinase Kinases", "Mutation", "Myelodysplastic Syndromes", "Neoplasms", "RNA", "RNA Splicing", "RNA Splicing Factors", "Serine-Arginine Splicing Factors", "Splicing Factor U2AF"]

Funding

U24 HG009889 NHGRI NIH HHS (United States)
R01 HG004659 NHGRI NIH HHS (United States)
U41 HG009889 NHGRI NIH HHS (United States)
T32 GM008666 NIGMS NIH HHS (United States)
R01 HL137223 NHLBI NIH HHS (United States)
F31 CA228295 NCI NIH HHS (United States)
R01 HL121570 NHLBI NIH HHS (United States)
R01 CA225231 NCI NIH HHS (United States)
R01 HL137219 NHLBI NIH HHS (United States)
R01 GM083118 NIGMS NIH HHS (United States)

Linked Datasets (1)

GSE164666 GSE via ncbi_elink
GEO

Integrative RNA-omics discovers GNAS alternative splicing as a phenotypic driver of splicing factor mutant neoplasms

Homo sapiens
58 data files
FileTypeSize
SRR13416241.lite RNA-Seq 3.4 GB
SRSF2_hpc.P95L-1_INPUT_R1_001.fastq.gz OTHER 658.9 MB
SRSF2_hpc.P95L-1_INPUT_R1_001.fastq.gz OTHER 658.9 MB
SRSF2_hpc.P95L-1_IP_R1_001.fastq.gz OTHER 945.7 MB
SRSF2_hpc.P95L-1_IP_R1_001.fastq.gz OTHER 945.7 MB
SRSF2_hpc.P95L-2_INPUT_R1_001.fastq.gz OTHER 853.6 MB
SRSF2_hpc.P95L-2_INPUT_R1_001.fastq.gz OTHER 853.6 MB
SRSF2_hpc.P95L-2_IP_R1_001.fastq.gz OTHER 932.7 MB
SRSF2_hpc.P95L-2_IP_R1_001.fastq.gz OTHER 932.7 MB
SRSF2_hpc.WT-1_INPUT_R1_001.fastq.gz OTHER 912.2 MB
SRSF2_hpc.WT-1_INPUT_R1_001.fastq.gz OTHER 912.2 MB
SRSF2_hpc.WT-1_IP_R1_001.fastq.gz OTHER 741.6 MB
SRSF2_hpc.WT-1_IP_R1_001.fastq.gz OTHER 741.6 MB
SRSF2_hpc.WT-2_INPUT_R1_001.fastq.gz OTHER 760.0 MB
SRSF2_hpc.WT-2_INPUT_R1_001.fastq.gz OTHER 760.0 MB
SRSF2_hpc.WT-2_IP_R1_001.fastq.gz OTHER 744.4 MB
SRSF2_hpc.WT-2_IP_R1_001.fastq.gz OTHER 744.4 MB
SRSF2-P95L-1-rnaseq_R1.fastq.gz RNA-Seq 3.8 GB
SRSF2-P95L-1-rnaseq_R1.fastq.gz RNA-Seq 3.8 GB
SRSF2-P95L-2-rnaseq_R1.fastq.gz RNA-Seq 3.0 GB
SRSF2-P95L-2-rnaseq_R1.fastq.gz RNA-Seq 3.0 GB
SRSF2-P95L-3-rnaseq_R1.fastq.gz RNA-Seq 3.9 GB
SRSF2-P95L-3-rnaseq_R1.fastq.gz RNA-Seq 3.9 GB
SRSF2-P95L-4-rnaseq_R1.fastq.gz RNA-Seq 3.5 GB
SRSF2-P95L-4-rnaseq_R1.fastq.gz RNA-Seq 3.5 GB
U2AF1_hpc.S34F-1_INPUT_R1_001.fastq.gz OTHER 1.3 GB
U2AF1_hpc.S34F-1_INPUT_R1_001.fastq.gz OTHER 1.3 GB
U2AF1_hpc.S34F-1_IP_R1_001.fastq.gz OTHER 2.0 GB
U2AF1_hpc.S34F-1_IP_R1_001.fastq.gz OTHER 2.0 GB
U2AF1_hpc.S34F-2_INPUT_R1_001.fastq.gz OTHER 1.4 GB
U2AF1_hpc.S34F-2_INPUT_R1_001.fastq.gz OTHER 1.4 GB
U2AF1_hpc.S34F-2_IP_R1_001.fastq.gz OTHER 1.2 GB
U2AF1_hpc.S34F-2_IP_R1_001.fastq.gz OTHER 1.2 GB
U2AF1_hpc.WT-1_INPUT_R1_001.fastq.gz OTHER 1.2 GB
U2AF1_hpc.WT-1_INPUT_R1_001.fastq.gz OTHER 1.2 GB
U2AF1_hpc.WT-1_IP_R1_001.fastq.gz OTHER 1.5 GB
U2AF1_hpc.WT-1_IP_R1_001.fastq.gz OTHER 1.5 GB
U2AF1_hpc.WT-2_INPUT_R1_001.fastq.gz OTHER 1.2 GB
U2AF1_hpc.WT-2_INPUT_R1_001.fastq.gz OTHER 1.2 GB
U2AF1_hpc.WT-2_IP_R1_001.fastq.gz OTHER 1.4 GB
U2AF1_hpc.WT-2_IP_R1_001.fastq.gz OTHER 1.4 GB
U2AF1-S34F-1-rnaseq_R1.fastq.gz RNA-Seq 4.5 GB
U2AF1-S34F-1-rnaseq_R1.fastq.gz RNA-Seq 4.5 GB
U2AF1-S34F-2-rnaseq_R1.fastq.gz RNA-Seq 3.7 GB
U2AF1-S34F-2-rnaseq_R1.fastq.gz RNA-Seq 3.7 GB
U2AF1-S34F-3-rnaseq_R1.fastq.gz RNA-Seq 3.5 GB
U2AF1-S34F-3-rnaseq_R1.fastq.gz RNA-Seq 3.5 GB
WT-1-rnaseq_R1.fastq.gz RNA-Seq 3.6 GB
WT-1-rnaseq_R1.fastq.gz RNA-Seq 3.6 GB
WT-2-rnaseq_R1.fastq.gz RNA-Seq 3.4 GB
WT-3-rnaseq_R1.fastq.gz RNA-Seq 3.7 GB
WT-3-rnaseq_R1.fastq.gz RNA-Seq 3.7 GB
WT-4-rnaseq_R1.fastq.gz RNA-Seq 4.1 GB
WT-4-rnaseq_R1.fastq.gz RNA-Seq 4.1 GB
WT-5-rnaseq_R1.fastq.gz RNA-Seq 3.5 GB
WT-5-rnaseq_R1.fastq.gz RNA-Seq 3.5 GB
WT-6-rnaseq_R1.fastq.gz RNA-Seq 4.0 GB
WT-6-rnaseq_R2.fastq.gz RNA-Seq 4.0 GB

Potentially Related Datasets (2)

These accessions were text-mined from the PMC full text. They may be referenced for comparison, cited from other studies, or otherwise mentioned without being primary data for this paper.

GSE63816 GSE GEO
GEO

Aberrant splicing of U12-type introns is the hallmark of ZRSR2 mutant myelodysplastic syndrome

RNA sequencing of bone marrow CD34+ hematopoietic stem and progenitor cells from patients with myelodysplastic syndrome and healthy controls

Analysis Pipelines (3)

RNA-seq geo_data_processing GSE114922
eCLIP geo_data_processing GSE164666
RNA-seq geo_data_processing GSE63816