ArticleBlood2020
Single-cell genomics reveals the genetic and molecular bases for escape from mutational epistasis in myeloid neoplasms.
Article in Blood, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed, 58 citations in OpenAlex.
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- Single-cell atlas profiling revealed cellular characteristics and dynamic changes after PD-1 blockade therapy of brain metastases from laryngeal squamous cell carcinoma.Molecular and cellular biochemistry · 2025Article
- Successful Treatment of Leukemic Synovitis Complicated With Chronic Myelomonocytic Leukemia.Case reports in hematology · 2025Article
- Splicing the Difference: Harnessing the Complexity of the Transcriptome in Hematopoiesis.Experimental hematology · 2024Review
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- Multiomic profiling identifies predictors of survival in African American patients with acute myeloid leukemia.Nature genetics · 2024Article
- Mis-splicing of Mitotic Regulators Sensitizes SF3B1-Mutated Human HSCs to CHK1 Inhibition.Blood cancer discovery · 2024Article
- The E592K variant of SF3B1 creates unique RNA missplicing and associates with high-risk MDS without ring sideroblasts.Blood advances · 2024Article
- Multiomic profiling of human clonal hematopoiesis reveals genotype and cell-specific inflammatory pathway activation.Blood advances · 2024Article
- Comprehensive Analyses of the Effects of the Small-Molecule Inhibitor of the UHM Domain in the Splicing FactorResearch square · 2024Article
- Competition of dualBlood neoplasia · 2024Article
- Myelodysplastic Syndrome: Clinical Characteristics and Significance of Preclinically Detecting Biallelic Mutations in theLife (Basel, Switzerland) · 2024Article
- Heterogeneity of platelets and their responses.Research and practice in thrombosis and haemostasis · 2024Article
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- Integrated Genomic and Transcriptomic Analysis Improves Disease Classification and Risk Stratification of MDS with Ring Sideroblasts.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023Article
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18 authors at 7 institutions in 3 countries.
Funding
Abstract
Large-scale sequencing studies of hematologic malignancies have revealed notable epistasis among high-frequency mutations. One of the most striking examples of epistasis occurs for mutations in RNA splicing factors. These lesions are among the most common alterations in myeloid neoplasms and generally occur in a mutually exclusive manner, a finding attributed to their synthetic lethal interactions and/or convergent effects. Curiously, however, patients with multiple-concomitant splicing factor mutations have been observed, challenging our understanding of one of the most common examples of epistasis in hematologic malignancies. In this study, we performed bulk and single-cell analyses of patients with myeloid malignancy who were harboring ≥2 splicing factor mutations, to understand the frequency and basis for the coexistence of these mutations. Although mutations in splicing factors were strongly mutually exclusive across 4231 patients (q < .001), 0.85% harbored 2 concomitant bona fide splicing factor mutations, ∼50% of which were present in the same individual cells. However, the distribution of mutations in patients with double mutations deviated from that in those with single mutations, with selection against the most common alleles, SF3B1K700E and SRSF2P95H/L/R, and selection for less common alleles, such as SF3B1 non-K700E mutations, rare amino acid substitutions at SRSF2P95, and combined U2AF1S34/Q157 mutations. SF3B1 and SRSF2 alleles enriched in those with double-mutations had reduced effects on RNA splicing and/or binding compared with the most common alleles. Moreover, dual U2AF1 mutations occurred in cis with preservation of the wild-type allele. These data highlight allele-specific differences as critical in regulating the molecular effects of splicing factor mutations as well as their cooccurrences/exclusivities with one another.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.