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Phosphorylation of SF3B1 by CDK11 orchestrates spliceosome activation via SNIP1-dependent RES complex recruitment
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  • Published: 29 March 2026

Phosphorylation of SF3B1 by CDK11 orchestrates spliceosome activation via SNIP1-dependent RES complex recruitment

  • Pavla Gajdušková1 na1,
  • Igor Ruiz de Los Mozos  ORCID: orcid.org/0000-0003-4097-64222 na1,
  • Milan Hluchý1,
  • Antonina Myšková1,
  • Kateřina Zábrady1,
  • Peter Maník1,3,
  • Neda Dragišić1,
  • Kateřina Hanáková  ORCID: orcid.org/0000-0001-9575-88661,
  • David Potěšil  ORCID: orcid.org/0000-0003-0390-09041,
  • Sara Bologna  ORCID: orcid.org/0000-0002-2709-83221,
  • Jiří Nováček  ORCID: orcid.org/0000-0003-4013-38981,
  • Caroline C. Friedel  ORCID: orcid.org/0000-0003-3569-48774,
  • Konstantinos Tripsianes  ORCID: orcid.org/0000-0003-0948-813X1,
  • Zbyněk Zdráhal1,3 &
  • …
  • Dalibor Blazek  ORCID: orcid.org/0000-0003-4662-99821 

Nature Communications , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Kinases
  • Phosphorylation
  • RNA splicing

Abstract

Splicing Factor 3b Subunit 1 (SF3B1), a core component of the spliceosome, undergoes dynamic phosphorylation and dephosphorylation during the splicing cycle to regulate pre-mRNA splicing. Twenty-eight threonine/proline repeats are phosphorylated by CDK11 during spliceosome activation and remain phosphorylated in the catalytically active spliceosomes. The function of phosphorylated SF3B1 (P-SF3B1), and the identity of spliceosomes stalled by CDK11 inhibition remain unclear. Using quantitative proteomics of chromatin-associated spliceosomes, we identify a previously uncharacterized intermediate complex BOTS964, arrested by CDK11 inhibitor OTS964, that incorporates the nineteen-related (NTR) but not nineteen (NTC) complex. iCLIP-seq revealed that P-SF3B1 engages with the U6 snRNA internal stem-loop (ISL), suggesting a potential role in stabilizing the RNA catalytic core. We further demonstrate that P-SF3B1 is recognized by forkhead-associated (FHA) domain of SNIP1, which promotes recruitment of retention and splicing (RES) complex during spliceosome activation. Acute SNIP1 depletion disrupts RES incorporation, causes widespread splicing defects, and promotes hyperphosphorylation of SF3B1 by CDK11. Mutations in SNIP1 FHA domain, including the neurodevelopmental disorder-associated E366G variant, impair P-SF3B1 binding, pre-mRNA splicing, and cell viability. Together, these findings uncover the phosphorylation-dependent CDK11/P-SF3B1/SNIP1 signaling axis that is critical for pre-mRNA splicing and cellular proliferation and provide a mechanistic insight into its dysregulation in disease.

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Data availability

All next-generation-sequencing raw and processed data are available at the NCBI’s Gene Expression Omnibus under the GEO series accession numbers GSE295433 (iCLIP-seq) and GSE295435 (RNA-seq). All proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD063160 and PXD063162. Source data are provided with this paper.

References

  1. Carrocci, T. J. & Neugebauer, K. M. Emerging and re-emerging themes in co-transcriptional pre-mRNA splicing. Mol. Cell 84, 3656–3666 (2024).

    Google Scholar 

  2. Kastner, B., Will, C.L., Stark, H. & Luhrmann, R. Structural insights into nuclear pre-mRNA splicing in higher eukaryotes. Cold Spring Harb Perspect Biol. 11, a032417 (2019).

  3. Wan, R., Bai, R., Zhan, X. & Shi, Y. How is precursor messenger RNA spliced by the spliceosome? Annu Rev. Biochem. 89, 333–358 (2020).

    Google Scholar 

  4. Wilkinson, M. E., Charenton, C. & Nagai, K. RNA splicing by the spliceosome. Annu Rev. Biochem. 89, 359–388 (2020).

    Google Scholar 

  5. Shenasa, H. & Bentley, D. L. Pre-mRNA splicing and its cotranscriptional connections. Trends Genet. 39, 672–685 (2023).

    Google Scholar 

  6. Rogalska, M. E., Vivori, C. & Valcarcel, J. Regulation of pre-mRNA splicing: roles in physiology and disease, and therapeutic prospects. Nat. Rev. Genet. 24, 251–269 (2023).

    Google Scholar 

  7. Schneider, M. et al. Human PRP4 kinase is required for stable tri-snRNP association during spliceosomal B complex formation. Nat. Struct. Mol. Biol. 17, 216–221 (2010).

    Google Scholar 

  8. Hluchy, M. et al. CDK11 regulates pre-mRNA splicing by phosphorylation of SF3B1. Nature 609, 829–834 (2022).

    Google Scholar 

  9. Mathew, R. et al. Phosphorylation of human PRP28 by SRPK2 is required for integration of the U4/U6-U5 tri-snRNP into the spliceosome. Nat. Struct. Mol. Biol. 15, 435–443 (2008).

    Google Scholar 

  10. Makarov, E. M. et al. Small nuclear ribonucleoprotein remodeling during catalytic activation of the spliceosome. Science 298, 2205–2208 (2002).

    Google Scholar 

  11. Bessonov, S. et al. Characterization of purified human Bact spliceosomal complexes reveals compositional and morphological changes during spliceosome activation and first step catalysis. RNA 16, 2384–2403 (2010).

    Google Scholar 

  12. Townsend, C. et al. Mechanism of protein-guided folding of the active site U2/U6 RNA during spliceosome activation. Science 370, eabc3753(2020).

  13. Zhang, X. et al. Structure of the human activated spliceosome in three conformational states. Cell Res. 28, 307–322 (2018).

    Google Scholar 

  14. Boesler, C. et al. A spliceosome intermediate with loosely associated tri-snRNP accumulates in the absence of Prp28 ATPase activity. Nat. Commun. 7, 11997 (2016).

    Google Scholar 

  15. Zhang, Z. et al. Cryo-EM analyses of dimerized spliceosomes provide new insights into the functions of B complex proteins. EMBO J. 43, 1065–1088 (2024).

    Google Scholar 

  16. Zhan, X., Lu, Y. & Shi, Y. Molecular basis for the activation of human spliceosome. Nat. Commun. 15, 6348 (2024).

    Google Scholar 

  17. Fabrizio, P. et al. The evolutionarily conserved core design of the catalytic activation step of the yeast spliceosome. Mol. Cell 36, 593–608 (2009).

    Google Scholar 

  18. Hoskins, A.A., Rodgers, M.L., Friedman, L.J., Gelles, J. & Moore, M.J. Single molecule analysis reveals reversible and irreversible steps during spliceosome activation. Elife 5, e14166(2016).

  19. Chan, S. P., Kao, D. I., Tsai, W. Y. & Cheng, S. C. The Prp19p-associated complex in spliceosome activation. Science 302, 279–282 (2003).

    Google Scholar 

  20. Hluchy, M. & Blazek, D. CDK11, a splicing-associated kinase regulating gene expression. Trends Cell Biol. 35, 702–716 (2024).

  21. Sun, C. The SF3b complex: splicing and beyond. Cell Mol. Life Sci. 77, 3583–3595 (2020).

    Google Scholar 

  22. Kotake, Y. et al. Splicing factor SF3b as a target of the antitumor natural product pladienolide. Nat. Chem. Biol. 3, 570–575 (2007).

    Google Scholar 

  23. Cretu, C. et al. Structural Basis of Splicing Modulation by Antitumor Macrolide Compounds. Mol. Cell 70, 265–273 e8 (2018).

    Google Scholar 

  24. Teng, T. et al. Splicing modulators act at the branch point adenosine binding pocket defined by the PHF5A-SF3b complex. Nat. Commun. 8, 15522 (2017).

    Google Scholar 

  25. Seiler, M. et al. H3B-8800, an orally available small-molecule splicing modulator, induces lethality in spliceosome-mutant cancers. Nat. Med. 24, 497–w504 (2018).

    Google Scholar 

  26. Corrionero, A., Minana, B. & Valcarcel, J. Reduced fidelity of branch point recognition and alternative splicing induced by the anti-tumor drug spliceostatin A. Genes Dev. 25, 445–459 (2011).

    Google Scholar 

  27. Girard, C. et al. Post-transcriptional spliceosomes are retained in nuclear speckles until splicing completion. Nat. Commun. 3, 994 (2012).

    Google Scholar 

  28. Wang, C. et al. Phosphorylation of spliceosomal protein SAP 155 coupled with splicing catalysis. Genes Dev. 12, 1409–1414 (1998).

    Google Scholar 

  29. Vieira-Vieira, C. H., Dauksaite, V., Sporbert, A., Gotthardt, M. & Selbach, M. Proteome-wide quantitative RNA-interactome capture identifies phosphorylation sites with regulatory potential in RBM20. Mol. Cell 82, 2069–2083 e8 (2022).

    Google Scholar 

  30. Cass, D. M. & Berglund, J. A. The SF3b155 N-terminal domain is a scaffold important for splicing. Biochemistry 45, 10092–10101 (2006).

    Google Scholar 

  31. Galardi, J. W. et al. A UHM-ULM interface with unusual structural features contributes to U2AF2 and SF3B1 association for pre-mRNA splicing. J. Biol. Chem. 298, 102224 (2022).

    Google Scholar 

  32. Murthy, T. et al. Cyclin-dependent kinase 1 (CDK1) and CDK2 have opposing roles in regulating interactions of splicing factor 3B1 with chromatin. J. Biol. Chem. 293, 10220–10234 (2018).

    Google Scholar 

  33. Corsini, L. et al. Dimerization and protein binding specificity of the U2AF homology motif of the splicing factor Puf60. J. Biol. Chem. 284, 630–639 (2009).

    Google Scholar 

  34. Fukumura, K. et al. SPF45/RBM17-dependent, but not U2AF-dependent, splicing in a distinct subset of human short introns. Nat. Commun. 12, 4910 (2021).

    Google Scholar 

  35. Loerch, S. & Kielkopf, C. L. Unmasking the U2AF homology motif family: a bona fide protein-protein interaction motif in disguise. RNA 22, 1795–1807 (2016).

    Google Scholar 

  36. Tari, M. et al. U2AF(65) assemblies drive sequence-specific splice site recognition. EMBO Rep. 20, e47604 (2019).

    Google Scholar 

  37. Brewer, A. et al. Mapping the substrate landscape of protein phosphatase 2A catalytic subunit PPP2CA. iScience 27, 109302 (2024).

    Google Scholar 

  38. Shi, Y., Reddy, B. & Manley, J. L. PP1/PP2A phosphatases are required for the second step of Pre-mRNA splicing and target specific snRNP proteins. Mol. Cell 23, 819–829 (2006).

    Google Scholar 

  39. Dziembowski, A. et al. Proteomic analysis identifies a new complex required for nuclear pre-mRNA retention and splicing. EMBO J. 23, 4847–4856 (2004).

    Google Scholar 

  40. Wysoczanski, P. et al. Cooperative structure of the heterotrimeric pre-mRNA retention and splicing complex. Nat. Struct. Mol. Biol. 21, 911–918 (2014).

    Google Scholar 

  41. Bao, P., Will, C. L., Urlaub, H., Boon, K. L. & Luhrmann, R. The RES complex is required for efficient transformation of the precatalytic B spliceosome into an activated B(act) complex. Genes Dev. 31, 2416–2429 (2017).

    Google Scholar 

  42. Frankiw, L. et al. BUD13 promotes a type I interferon response by countering intron retention in Irf7. Mol. Cell 73, 803–814 e6 (2019).

    Google Scholar 

  43. Fernandez, J. P. et al. RES complex is associated with intron definition and required for zebrafish early embryogenesis. PLoS Genet. 14, e1007473 (2018).

    Google Scholar 

  44. Durocher, D. & Jackson, S. P. The FHA domain. FEBS Lett. 513, 58–66 (2002).

    Google Scholar 

  45. Durocher, D. et al. The molecular basis of FHA domain:phosphopeptide binding specificity and implications for phospho-dependent signaling mechanisms. Mol. Cell 6, 1169–1182 (2000).

    Google Scholar 

  46. Meng, D. et al. A molecular brake that modulates spliceosome pausing at detained introns contributes to neurodegeneration. Protein Cell 14, 318–336 (2023).

    Google Scholar 

  47. Ammous, Z. et al. A biallelic SNIP1 Amish founder variant causes a recognizable neurodevelopmental disorder. PLoS Genet. 17, e1009803 (2021).

    Google Scholar 

  48. Puffenberger, E. G. et al. Genetic mapping and exome sequencing identify variants associated with five novel diseases. PLoS One 7, e28936 (2012).

    Google Scholar 

  49. Matsui, Y. et al. SNIP1 and PRC2 coordinate cell fates of neural progenitors during brain development. Nat. Commun. 14, 4754 (2023).

    Google Scholar 

  50. Roche, K. C., Rocha, S., Bracken, C. P. & Perkins, N. D. Regulation of ATR-dependent pathways by the FHA domain containing protein SNIP1. Oncogene 26, 4523–4530 (2007).

    Google Scholar 

  51. Kim, R. H. et al. A novel smad nuclear interacting protein, SNIP1, suppresses p300-dependent TGF-beta signal transduction. Genes Dev. 14, 1605–1616 (2000).

    Google Scholar 

  52. Fujii, M. et al. SNIP1 is a candidate modifier of the transcriptional activity of c-Myc on E box-dependent target genes. Mol. Cell 24, 771–783 (2006).

    Google Scholar 

  53. Yu, B. et al. KMT5A-methylated SNIP1 promotes triple-negative breast cancer metastasis by activating YAP signaling. Nat. Commun. 13, 2192 (2022).

    Google Scholar 

  54. Bracken, C. P. et al. Regulation of cyclin D1 RNA stability by SNIP1. Cancer Res. 68, 7621–7628 (2008).

    Google Scholar 

  55. Chen, L. L. et al. SNIP1 recruits TET2 to regulate c-MYC target genes and cellular DNA damage response. Cell Rep. 25, 1485–1500.e4 (2018).

    Google Scholar 

  56. Kfir, N. et al. SF3B1 association with chromatin determines splicing outcomes. Cell Rep. 11, 618–629 (2015).

    Google Scholar 

  57. Boddu, P. C. et al. Transcription elongation defects link oncogenic SF3B1 mutations to targetable alterations in chromatin landscape. Mol. Cell 84, 1475–1495 (2024).

  58. Caizzi, L. et al. Efficient RNA polymerase II pause release requires U2 snRNP function. Mol. Cell 81, 1920–1934.e9 (2021).

    Google Scholar 

  59. Tresini, M. et al. The core spliceosome as target and effector of non-canonical ATM signalling. Nature 523, 53–58 (2015).

    Google Scholar 

  60. Nojima, T., Gomes, T., Carmo-Fonseca, M. & Proudfoot, N. J. Mammalian NET-seq analysis defines nascent RNA profiles and associated RNA processing genome-wide. Nat. Protoc. 11, 413–428 (2016).

    Google Scholar 

  61. Konig, J. et al. iCLIP reveals the function of hnRNP particles in splicing at individual nucleotide resolution. Nat. Struct. Mol. Biol. 17, 909–915 (2010).

    Google Scholar 

  62. Huppertz, I. et al. iCLIP: protein-RNA interactions at nucleotide resolution. Methods 65, 274–287 (2014).

    Google Scholar 

  63. Fica, S. M., Mefford, M. A., Piccirilli, J. A. & Staley, J. P. Evidence for a group II intron-like catalytic triplex in the spliceosome. Nat. Struct. Mol. Biol. 21, 464–471 (2014).

    Google Scholar 

  64. Toor, N., Keating, K. S., Taylor, S. D. & Pyle, A. M. Crystal structure of a self-spliced group II intron. Science 320, 77–82 (2008).

    Google Scholar 

  65. Galej, W. P. et al. Cryo-EM structure of the spliceosome immediately after branching. Nature 537, 197–201 (2016).

    Google Scholar 

  66. Wan, R., Yan, C., Bai, R., Huang, G. & Shi, Y. Structure of a yeast catalytic step I spliceosome at 3.4 A resolution. Science 353, 895–904 (2016).

    Google Scholar 

  67. Boudrez, A., Beullens, M., Waelkens, E., Stalmans, W. & Bollen, M. Phosphorylation-dependent interaction between the splicing factors SAP155 and NIPP1. J. Biol. Chem. 277, 31834–31841 (2002).

    Google Scholar 

  68. Tanuma, N. et al. Nuclear inhibitor of protein phosphatase-1 (NIPP1) directs protein phosphatase-1 (PP1) to dephosphorylate the U2 small nuclear ribonucleoprotein particle (snRNP) component, spliceosome-associated protein 155 (Sap155). J. Biol. Chem. 283, 35805–35814 (2008).

    Google Scholar 

  69. Loyer, P. et al. Characterization of cyclin L1 and L2 interactions with CDK11 and splicing factors: influence of cyclin L isoforms on splice site selection. J. Biol. Chem. 283, 7721–7732 (2008).

    Google Scholar 

  70. Wang, C. et al. CDK11 requires a critical activator SAP30BP to regulate pre-mRNA splicing. EMBO J. 42, e114051 (2023).

    Google Scholar 

  71. Nabet, B. et al. The dTAG system for immediate and target-specific protein degradation. Nat. Chem. Biol. 14, 431–441 (2018).

    Google Scholar 

  72. Tellier, M., Maudlin, I. & Murphy, S. Transcription and splicing: a two-way street. Wiley Interdiscip. Rev. RNA 11, e1593 (2020).

    Google Scholar 

  73. Caizzi, L. et al. Efficient RNA polymerase II pause release requires U2 snRNP function. Mol. Cell 81, 1920–1934 (2021).

  74. Devlin, J. R. et al. A CDK11-dependent RNA polymerase II pause-checkpoint precedes CDK9-mediated transition to transcriptional elongation. Mol. Cell 85, 3256–3274.e14 (2025).

    Google Scholar 

  75. Rimel, J.K. et al. Selective inhibition of CDK7 reveals high-confidence targets and new models for TFIIH function in transcription. Genes Dev. 34, 1452–1473 (2020).

  76. Sanso, M. et al. P-TEFb regulation of transcription termination factor Xrn2 revealed by a chemical genetic screen for Cdk9 substrates. Genes Dev. 30, 117–131 (2016).

    Google Scholar 

  77. Tellier, M. et al. CDK9 and PP2A regulate RNA polymerase II transcription termination and coupled RNA maturation. EMBO Rep. 23, e54520 (2022).

    Google Scholar 

  78. Krajewska, M. et al. CDK12 loss in cancer cells affects DNA damage response genes through premature cleavage and polyadenylation. Nat. Commun. 10, 1757 (2019).

    Google Scholar 

  79. Panzeri, V., Pieraccioli, M., Cesari, E., de la Grange, P. & Sette, C. CDK12/13 promote splicing of proximal introns by enhancing the interaction between RNA polymerase II and the splicing factor SF3B1. Nucleic Acids Res 51, 5512–5526 (2023).

    Google Scholar 

  80. Olson, C. M. et al. Pharmacological perturbation of CDK9 using selective CDK9 inhibition or degradation. Nat. Chem. Biol. 14, 163–170 (2018).

    Google Scholar 

  81. Zhang, T. et al. Covalent targeting of remote cysteine residues to develop CDK12 and CDK13 inhibitors. Nat. Chem. Biol. 12, 876–884 (2016).

    Google Scholar 

  82. Larochelle, S. et al. Dichotomous but stringent substrate selection by the dual-function Cdk7 complex revealed by chemical genetics. Nat. Struct. Mol. Biol. 13, 55–62 (2006).

    Google Scholar 

  83. Rajecky, M. et al. CDK7-CDK11 axis in spliceosome regulation and pre-mRNA splicing. Nucleic Acids Res. 53, gkaf1343 (2025).

  84. Kim, M., Suh, H., Cho, E. J. & Buratowski, S. Phosphorylation of the yeast Rpb1 C-terminal domain at serines 2, 5, and 7. J. Biol. Chem. 284, 26421–26426 (2009).

    Google Scholar 

  85. Glover-Cutter, K. et al. TFIIH-associated Cdk7 kinase functions in phosphorylation of C-terminal domain Ser7 residues, promoter-proximal pausing, and termination by RNA polymerase II. Mol. Cell Biol. 29, 5455–5464 (2009).

    Google Scholar 

  86. Akhtar, M. S. et al. TFIIH kinase places bivalent marks on the carboxy-terminal domain of RNA polymerase II. Mol. Cell 34, 387–393 (2009).

    Google Scholar 

  87. AJ, C. Q., Bugai, A. & Barboric, M. Cracking the control of RNA polymerase II elongation by 7SK snRNP and P-TEFb. Nucleic Acids Res. 44, 7527–7539 (2016).

    Google Scholar 

  88. Parua, P. K., Kalan, S., Benjamin, B., Sanso, M. & Fisher, R. P. Distinct Cdk9-phosphatase switches act at the beginning and end of elongation by RNA polymerase II. Nat. Commun. 11, 4338 (2020).

    Google Scholar 

  89. Chirackal Manavalan, A. P. et al. CDK12 controls G1/S progression by regulating RNAPII processivity at core DNA replication genes. EMBO Rep. 20, e47592 (2019).

    Google Scholar 

  90. Pilarova, K., Herudek, J. & Blazek, D. CDK12: cellular functions and therapeutic potential of versatile player in cancer. NAR Cancer 2, zcaa003 (2020).

    Google Scholar 

  91. Fan, Z. et al. CDK13 cooperates with CDK12 to control global RNA polymerase II processivity. Sci. Adv. 6, eaaz5041(2020).

  92. Bosken, C. A. et al. The structure and substrate specificity of human Cdk12/Cyclin K. Nat. Commun. 5, 3505 (2014).

    Google Scholar 

  93. Tellier, M. et al. CDK12 globally stimulates RNA polymerase II transcription elongation and carboxyl-terminal domain phosphorylation. Nucleic Acids Res. 48, 7712–7727 (2020).

    Google Scholar 

  94. Lopez Martinez, D. et al. PAF1C-mediated activation of CDK12/13 kinase activity is critical for CTD phosphorylation and transcript elongation. Mol. Cell 85, 1952–1967.e8 (2025).

    Google Scholar 

  95. Bartkowiak, B., Yan, C. & Greenleaf, A. L. Engineering an analog-sensitive CDK12 cell line using CRISPR/Cas. Biochim Biophys. Acta 1849, 1179–1187 (2015).

    Google Scholar 

  96. Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024).

    Google Scholar 

  97. Kuhn, A. N., van Santen, M. A., Schwienhorst, A., Urlaub, H. & Luhrmann, R. Stalling of spliceosome assembly at distinct stages by small-molecule inhibitors of protein acetylation and deacetylation. RNA 15, 153–175 (2009).

    Google Scholar 

  98. Agafonov, D. E. et al. ATPgammaS stalls splicing after B complex formation but prior to spliceosome activation. RNA 22, 1329–1337 (2016).

    Google Scholar 

  99. Sidarovich, A. et al. Identification of a small molecule inhibitor that stalls splicing at an early step of spliceosome activation. Elife 6, e23533(2017).

  100. Fica, S. M. et al. RNA catalyses nuclear pre-mRNA splicing. Nature 503, 229–234 (2013).

    Google Scholar 

  101. Galej, W. P., Oubridge, C., Newman, A. J. & Nagai, K. Crystal structure of Prp8 reveals active site cavity of the spliceosome. Nature 493, 638–643 (2013).

    Google Scholar 

  102. Rasche, N. et al. Cwc2 and its human homologue RBM22 promote an active conformation of the spliceosome catalytic centre. EMBO J. 31, 1591–1604 (2012).

    Google Scholar 

  103. Weirich, S. & Jeltsch, A. Limited choice of natural amino acids as mimetics restricts design of protein lysine methylation studies. Nat. Commun. 14, 4097 (2023).

    Google Scholar 

  104. Lin, A. et al. Off-target toxicity is a common mechanism of action of cancer drugs undergoing clinical trials. Sci. Transl. Med. 11, eaaw8412 (2019).

  105. Blazek, D. Therapeutic potential of CDK11 in cancer. Clin. Transl. Med. 13, e1201 (2023).

    Google Scholar 

  106. Loyer, P. & Trembley, J. H. Roles of CDK/Cyclin complexes in transcription and pre-mRNA splicing: Cyclins L and CDK11 at the cross-roads of cell cycle and regulation of gene expression. Semin Cell Dev. Biol. 107, 36–45 (2020).

    Google Scholar 

  107. Zhou, Y., Shen, J. K., Hornicek, F. J., Kan, Q. & Duan, Z. The emerging roles and therapeutic potential of cyclin-dependent kinase 11 (CDK11) in human cancer. Oncotarget 7, 40846–40859 (2016).

    Google Scholar 

  108. Julian, L. et al. On-target toxicity limits the efficacy of CDK11 inhibition against cancers with 1p36 deletions. bioRxiv https://doi.org/10.1101/2025.08.03.668359 (2025).

  109. Hsu, T. Y. et al. The spliceosome is a therapeutic vulnerability in MYC-driven cancer. Nature 525, 384–388 (2015).

    Google Scholar 

  110. Kim, R. H. et al. SNIP1 inhibits NF-kappa B signaling by competing for its binding to the C/H1 domain of CBP/p300 transcriptional co-activators. J. Biol. Chem. 276, 46297–46304 (2001).

    Google Scholar 

  111. Roche, K. C., Wiechens, N., Owen-Hughes, T. & Perkins, N. D. The FHA domain protein SNIP1 is a regulator of the cell cycle and cyclin D1 expression. Oncogene 23, 8185–8195 (2004).

    Google Scholar 

  112. Cui, H. et al. The SWI/SNF chromatin remodeling factor DPF3 regulates metastasis of ccRCC by modulating TGF-beta signaling. Nat. Commun. 13, 4680 (2022).

    Google Scholar 

  113. Chen, Y., Guo, W., Guo, X., Wanqing, Q. & Yin, Z. The clinical utilization of SNIP1 and its pathophysiological mechanisms in disease. Heliyon 10, e24601 (2024).

    Google Scholar 

  114. An, M. & Henion, P. D. The zebrafish sf3b1b460 mutant reveals differential requirements for the sf3b1 pre-mRNA processing gene during neural crest development. Int J. Dev. Biol. 56, 223–237 (2012).

    Google Scholar 

  115. Wang, Q., Moore, M. J., Adelmant, G., Marto, J. A. & Silver, P. A. PQBP1, a factor linked to intellectual disability, affects alternative splicing associated with neurite outgrowth. Genes Dev. 27, 615–626 (2013).

    Google Scholar 

  116. Reinhardt, H. C. & Yaffe, M. B. Phospho-Ser/Thr-binding domains: navigating the cell cycle and DNA damage response. Nat. Rev. Mol. Cell Biol. 14, 563–580 (2013).

    Google Scholar 

  117. Brooks, M. A. et al. Structure of the yeast Pml1 splicing factor and its integration into the RES complex. Nucleic Acids Res. 37, 129–143 (2009).

    Google Scholar 

  118. Wysoczanski, P. & Zweckstetter, M. Retention and splicing complex (RES) - the importance of cooperativity. RNA Biol. 13, 128–133 (2016).

    Google Scholar 

  119. Sakuma, T., Nakade, S., Sakane, Y., Suzuki, K. T. & Yamamoto, T. MMEJ-assisted gene knock-in using TALENs and CRISPR-Cas9 with the PITCh systems. Nat. Protoc. 11, 118–133 (2016).

    Google Scholar 

  120. Brand, M. & Winter, G. E. Locus-specific knock-in of a degradable tag for target validation studies. Methods Mol. Biol. 1953, 105–119 (2019).

    Google Scholar 

  121. Lin, D. W. et al. Microhomology-based CRISPR tagging tools for protein tracking, purification, and depletion. J. Biol. Chem. 294, 10877–10885 (2019).

    Google Scholar 

  122. Wisniewski, J. R., Ostasiewicz, P. & Mann, M. High recovery FASP applied to the proteomic analysis of microdissected formalin fixed paraffin embedded cancer tissues retrieves known colon cancer markers. J. Proteome Res. 10, 3040–3049 (2011).

    Google Scholar 

  123. Yeung, Y. G., Nieves, E., Angeletti, R. H. & Stanley, E. R. Removal of detergents from protein digests for mass spectrometry analysis. Anal. Biochem. 382, 135–137 (2008).

    Google Scholar 

  124. Cox, J. & Mann, M. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat. Biotechnol. 26, 1367–1372 (2008).

    Google Scholar 

  125. Gajduskova, P. et al. CDK11 is required for transcription of replication-dependent histone genes. Nat. Struct. Mol. Biol. 27, 500–510 (2020).

    Google Scholar 

  126. Demichev, V., Messner, C. B., Vernardis, S. I., Lilley, K. S. & Ralser, M. DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput. Nat. Methods 17, 41–44 (2020).

    Google Scholar 

  127. Di Tommaso, P. et al. Nextflow enables reproducible computational workflows. Nat. Biotechnol. 35, 316–319 (2017).

    Google Scholar 

  128. Patro, R., Duggal, G., Love, M. I., Irizarry, R. A. & Kingsford, C. Salmon provides fast and bias-aware quantification of transcript expression. Nat. Methods 14, 417 (2017).

    Google Scholar 

  129. Lawrence, M. et al. Software for computing and annotating genomic ranges. PLoS Comput. Biol. 9, e1003118(2013).

  130. West, C. et al. nf-core/clipseq - a robust Nextflow pipeline for comprehensive CLIP data analysis. Wellcome Open Res. 8, 286 (2023).

    Google Scholar 

  131. Dobin, A. et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics 29, 15–21 (2013).

    Google Scholar 

  132. Ramirez, F., Dundar, F., Diehl, S., Gruning, B. A. & Manke, T. DeepTools: a flexible platform for exploring deep-sequencing data. Nucleic Acids Res. 42, W187–W191 (2014).

    Google Scholar 

  133. Larsen, N. A. The SF3b complex is an integral component of the spliceosome and targeted by natural product-based inhibitors. Subcell. Biochem. 96, 409–432 (2021).

    Google Scholar 

Download references

Acknowledgements

We wish to thank all members of the Blazek laboratory for discussions throughout the project and helpful comments on the manuscript. We also wish to thank Michal Rájecký and Veronika Gajdušková for help with the preparation of figures, Sebastian Fica and Wojciech Galej for discussions and initial help, and Dr. Wouters for the HCT116 Flp-in cell line. The work was supported by a grant from the Czech Science Foundation (23-04754X) to D.B, and funded by the European Union under Horizon Europe program HORIZON-WIDERA-2023-ACCESS-04, Grant Agreement No. 101159708–MILESTONE to K.T. CIISB, Instruct-CZ Center of Instruct-ERIC EU consortium, funded by MEYS CR infrastructure project LM2023042 and European Regional Development Fund-Project „Innovation of Czech Infrastructure for Integrative Structural Biology“ (No. CZ.02.01.01/00/23_015/0008175), is gratefully acknowledged for the financial support of the measurements at the CEITEC Proteomics Core Facility. Computational resources were provided by the e-INFRA CZ project (ID:90254), supported by MEYS CR.

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Author notes
  1. These authors contributed equally: Pavla Gajdušková, Igor Ruiz de Los Mozos.

Authors and Affiliations

  1. Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic

    Pavla Gajdušková, Milan Hluchý, Antonina Myšková, Kateřina Zábrady, Peter Maník, Neda Dragišić, Kateřina Hanáková, David Potěšil, Sara Bologna, Jiří Nováček, Konstantinos Tripsianes, Zbyněk Zdráhal & Dalibor Blazek

  2. Department of Personalized Medicine, NASERTIC, Government of Navarra, Pamplona, Spain

    Igor Ruiz de Los Mozos

  3. National Centre for Biomolecular Research, Faculty of Science, Masaryk University, Brno, Czech Republic

    Peter Maník & Zbyněk Zdráhal

  4. Institute for Informatics, LMU Munich, Munich, Germany

    Caroline C. Friedel

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  1. Pavla Gajdušková
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Contributions

P.G. performed most of the experiments and wrote the initial draft of the manuscript. I.R.dl.M. performed bioinformatics analyses of iCLIP- and RNA-seq, M.H. performed a chromatin MS experiment with SF3B1, A.M. and P.M. helped design and prepare the HCT116 dTAG SNIP1 cell line, N.D. prepared HCT116 F-SNIP1 cell lines, assisted with RT-PCR experiments and performed proliferation experiments, K.Z. performed AF3 modeling and evaluated the results, K.H., D.P. and Z.Z. performed and analyzed MS/MS experiments, S.B. performed protein isolation, J.N. and K.T. performed structural analyses, and C.C.F. performed bioinformatics analyses of dTAG SNIP1 and OTS964 RNA-seq data. D.B. supervised the research, wrote the initial draft of the manuscript and acquired funding. All authors discussed the design of experiments and commented on the manuscript.

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Correspondence to Dalibor Blazek.

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Gajdušková, P., Ruiz de Los Mozos, I., Hluchý, M. et al. Phosphorylation of SF3B1 by CDK11 orchestrates spliceosome activation via SNIP1-dependent RES complex recruitment. Nat Commun (2026). https://doi.org/10.1038/s41467-026-71119-2

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  • Received: 07 May 2025

  • Accepted: 11 March 2026

  • Published: 29 March 2026

  • DOI: https://doi.org/10.1038/s41467-026-71119-2

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