Precision analysis of mutant U2AF1 activity reveals deployment of stress granules in myeloid malignancies.
Precision analysis of mutant U2AF1 activity reveals deployment of stress granules in myeloid malignancies.
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DOI:
10.1016/j.molcel.2022.02.025
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发表时间:
2022-03-17
期刊:
影响因子:
16
通讯作者:
Halene S
中科院分区:
文献类型:
--
作者:
Biancon G;Joshi P;Zimmer JT;Hunck T;Gao Y;Lessard MD;Courchaine E;Barentine AES;Machyna M;Botti V;Qin A;Gbyli R;Patel A;Song Y;Kiefer L;Viero G;Neuenkirchen N;Lin H;Bewersdorf J;Simon MD;Neugebauer KM;Tebaldi T;Halene S
Splicing factor mutations are common among cancers, recently emerging as drivers of myeloid malignancies. U2AF1 carries hotspot mutations in its RNA binding motifs; yet how they affect splicing and promote cancer remains unclear. The U2AF1/U2AF2 heterodimer is critical for 3’ splice site (3’SS) definition. To specifically unmask changes in U2AF1 function in vivo, we developed a crosslinking and immunoprecipitation procedure detecting contacts between U2AF1 and the 3’SS AG at single-nucleotide resolution. Our data reveal that U2AF1 S34F and Q157R mutants establish new 3’SS contacts at −3 and +1 nucleotides, respectively. These effects compromise U2AF2-RNA interactions, resulting predominantly in intron retention and exon exclusion. Integrating RNA binding, splicing and turnover data, we predicted that U2AF1 mutations directly affect stress granule components, corroborated by single-cell RNA-seq. Remarkably, U2AF1-mutant cell lines and patient-derived MDS/AML blasts displayed a heightened stress granule response, pointing to a novel role for biomolecular condensates in adaptive oncogenic strategies. Biancon et al. unmask a stress granule signature in U2AF1 mutant myeloid malignancies, via multi-omics dissection of RNA binding, splicing and turnover. They document novel mutant-specific U2AF1-RNA binding peaks at 3’ splice site positions, determining aberrant splice outcomes. U2AF1 mutant cells display enhanced stress granule formation and stress resistance.
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DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
3.8
作者:
Kim S;Park C;Jun Y;Lee S;Jung Y;Kim J
通讯作者:
Kim J
影响因子:
8.6
作者:
Chatrikhi R;Feeney CF;Pulvino MJ;Alachouzos G;MacRae AJ;Falls Z;Rai S;Brennessel WW;Jenkins JL;Walter MJ;Graubert TA;Samudrala R;Jurica MS;Frontier AJ;Kielkopf CL
通讯作者:
Kielkopf CL
影响因子:
5.3
作者:
Guth, S;Tange, TO;Valcárcel, J
通讯作者:
Valcárcel, J
影响因子:
64.5
作者:
Kielkopf, CL;Rodionova, NA;Burley, SK
通讯作者:
Burley, SK