Cited by 31RNA Research and SplicingCRISPR and Genetic EngineeringRNA regulation and disease

Efficient, specific, and combinatorial control of endogenous exon splicing with dCasRx-RBM25

Open access
Li, Jack Daiyang, Taipale, Mikko, Blencowe, Benjamin J.·2024·Molecular Cell

Abstract

Efficient targeted control of splicing is a major goal of functional genomics and therapeutic applications. Guide (g)RNA-directed, deactivated (d)Cas CRISPR enzymes fused to splicing effectors represent a promising strategy due to the flexibility of these systems. However, efficient, specific, and generalizable activation of endogenous exons using this approach has not been previously reported. By screening over 300 dCasRx-splicing factor fusion proteins tethered to splicing reporters, we identify dCasRx-RBM25 as a potent activator of exons. Moreover, dCasRx-RBM25 efficiently activates the splicing of ∼90% of targeted endogenous alternative exons and displays high on-target specificity. Using gRNA arrays for combinatorial targeting, we demonstrate that dCasRx-RBM25 enables multiplexed activation and repression of exons. Using this feature, the targeting of neural-regulated exons in Ptpb1 and Puf60 in embryonic stem cells reveals combinatorial effects on downstream alternative splicing events controlled by these factors. Collectively, our results enable versatile, combinatorial exon-resolution functional assays and splicing-directed therapeutic applications.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.molcel.2024.05.028

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Screening of 453 splicing factors showed RBM25 activates splicing in >90% of targeted exons across contexts, including MAPT exon 10.

    “Moreover, screening of 453 splicing factors showed RBM25 activates splicing in >90% of targeted exons across contexts, including MAPT exon 1057.”

    From The R136S mutation in the APOE3 gene confers resilience against tau pathology via inhibition of the cGAS-STING-IFN pathway (2025) · cites this paper as [57]

    The Discussion reports screening 341 dCasRx-fusion proteins, not 453, and says dCasRx-RBM25 promoted inclusion of approximately 90% of tested endogenous exons. The Results report activation of MAPT exon 10. Thus the claimed screening count is incorrect, while the exon-activation finding is broadly supported. (LLM, conf=0.93)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Part of this paper’s reference list could not be split into single entries.

Flagged first, then by citations

Research works printed but not linked: 52

  1. [1]1. Pan, Q. ∙ Shai, O. ∙ Lee, L.J. ... Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing Nat. Genet. 2008; 40:1413-1415 Crossref Scopus (2843) PubMed Google Scholar
  2. [2]2. Wang, E.T. ∙ Sandberg, R. ∙ Luo, S. ... Alternative isoform regulation in human tissue transcriptomes Nature. 2008; 456:470-476 Crossref Scopus (3903) PubMed Google Scholar
  3. [3]3. Sinitcyn, P. ∙ Richards, A.L. ∙ Weatheritt, R.J. ... Global detection of human variants and isoforms by deep proteome sequencing Nat. Biotechnol. 2023; 41:1776-1786 Crossref Scopus (44) PubMed Google Scholar
  4. [4]4. Baralle, F.E. ∙ Giudice, J. Alternative splicing as a regulator of development and tissue identity Nat. Rev. Mol. Cell Biol. 2017; 18:437-451 Crossref Scopus (802) PubMed Google Scholar
  5. [5]5. Ule, J. ∙ Blencowe, B.J. Alternative Splicing Regulatory Networks: Functions, Mechanisms, and Evolution Mol. Cell. 2019; 76:329-345 Full Text Full Text (PDF) Scopus (392) PubMed Google Scholar
  6. [6]6. Rogalska, M.E. ∙ Vivori, C. ∙ Valcárcel, J. Regulation of pre-mRNA splicing: roles in physiology and disease, and therapeutic prospects Nat. Rev. Genet. 2023; 24:251-269 Crossref Scopus (50) PubMed Google Scholar
  7. [7]7. Marasco, L.E. ∙ Kornblihtt, A.R. The physiology of alternative splicing Nat. Rev. Mol. Cell Biol. 2023; 24:242-254 Crossref Scopus (112) PubMed Google Scholar
  8. [8]8. Scotti, M.M. ∙ Swanson, M.S. RNA mis-splicing in disease Nat. Rev. Genet. 2016; 17:19-32 Crossref Scopus (752) PubMed Google Scholar
  9. [9]9. Lord, J. ∙ Baralle, D. Splicing in the Diagnosis of Rare Disease: Advances and Challenges Front. Genet. 2021; 12, 689892 Crossref Scopus (38) PubMed Google Scholar
  10. [10]10. Sergeeva, O.V. ∙ Shcherbinina, E.Y. ∙ Shomron, N. ... Modulation of RNA Splicing by Oligonucleotides: Mechanisms of Action and Therapeutic Implications Nucleic Acid Ther. 2022; 32:123-138 Crossref Scopus (0) PubMed Google Scholar
  11. [11]11. Rigo, F. ∙ Hua, Y. ∙ Krainer, A.R. ... Antisense-based therapy for the treatment of spinal muscular atrophy J. Cell Biol. 2012; 199:21-25 Crossref Scopus (0) PubMed Google Scholar
  12. [12]12. Gonatopoulos-Pournatzis, T. ∙ Aregger, M. ∙ Brown, K.R. ... Genetic interaction mapping and exon-resolution functional genomics with a hybrid Cas9-Cas12a platform Nat. Biotechnol. 2020; 38:638-648 Crossref Scopus (0) PubMed Google Scholar
  13. [13]13. Thomas, J.D. ∙ Polaski, J.T. ∙ Feng, Q. ... RNA isoform screens uncover the essentiality and tumor-suppressor activity of ultraconserved poison exons Nat. Genet. 2020; 52:84-94 Crossref Scopus (52) PubMed Google Scholar
  14. [14]14. Xiao, M.S., Damodaran, A.P., Kumari, B., Dickson, E., Xing, K., On, T., Parab, N., King, H.E., Perez, A.R., Guiblet, W.M., et al. (2024). Genome-scale exon perturbation screens uncover exons critical for cell fitness. Mol Cell 84, 2553–2572. https://doi.org/10.1016/j.molcel.2024.05.024. Google Scholar · DOI
  15. [15]15. Wang, Y. ∙ Cheong, C.G. ∙ Hall, T.M.T. ... Engineering splicing factors with designed specificities Nat. Methods. 2009; 6:825-830 Crossref Scopus (0) PubMed Google Scholar
  16. [16]16. Zhao, Y.Y. ∙ Mao, M.W. ∙ Zhang, W.J. ... Expanding RNA binding specificity and affinity of engineered PUF domains Nucleic Acids Res. 2018; 46:4771-4782 Crossref Scopus (0) PubMed Google Scholar
  17. [17]17. Fernandez Alanis, E. ∙ Pinotti, M. ∙ Dal Mas, A. ... An exon-specific U1 small nuclear RNA (snRNA) strategy to correct splicing defects Hum. Mol. Genet. 2012; 21:2389-2398 Crossref Scopus (0) PubMed Google Scholar
  18. [19]19. Schneider-Poetsch, T. ∙ Chhipi-Shrestha, J.K. ∙ Yoshida, M. Splicing modulators: on the way from nature to clinic J. Antibiot. (Tokyo). 2021; 74:603-616 Crossref Scopus (0) PubMed Google Scholar
  19. [20]20. van Beljouw, S.P.B. ∙ Sanders, J. ∙ Rodríguez-Molina, A. ... RNA-targeting CRISPR-Cas systems Nat. Rev. Microbiol. 2023; 21:21-34 Crossref Scopus (0) PubMed Google Scholar
  20. [21]21. Konermann, S. ∙ Lotfy, P. ∙ Brideau, N.J. ... Transcriptome Engineering with RNA-Targeting Type VI-D CRISPR Effectors Cell. 2018; 173:665-676.e14 Full Text Full Text (PDF) Scopus (710) PubMed Google Scholar
  21. [22]22. Du, M. ∙ Jillette, N. ∙ Zhu, J.J. ... CRISPR artificial splicing factors Nat. Commun. 2020; 11:2973 Crossref Scopus (64) PubMed Google Scholar
  22. [23]23. Núñez-Álvarez, Y. ∙ Espie-Caullet, T. ∙ Luco, R.F. A CRISPR-dCas13 RNA-editing tool to study alternative splicing Preprint at bioRxiv. 2022; Crossref Scopus (0) Google Scholar
  23. [24]24. Leclair, N.K. ∙ Brugiolo, M. ∙ Urbanski, L. ... Poison Exon Splicing Regulates a Coordinated Network of SR Protein Expression during Differentiation and Tumorigenesiss Mol. Cell. 2020; 80:648-665.e9 Full Text Full Text (PDF) Scopus (0) PubMed Google Scholar
  24. [25]25. Recinos, Y. ∙ Ustianenko, D. ∙ Yeh, Y.T. ... CRISPR-dCas13d-based deep screening of proximal and distal splicing-regulatory elements Nat. Commun. 2024; 15:3839 Crossref Scopus (0) PubMed Google Scholar
  25. [27]27. Gonatopoulos-Pournatzis, T. ∙ Wu, M. ∙ Braunschweig, U. ... Genome-wide CRISPR-Cas9 Interrogation of Splicing Networks Reveals a Mechanism for Recognition of Autism-Misregulated Neuronal Microexons Mol. Cell. 2018; 72:510-524.e12 Full Text Full Text (PDF) Scopus (0) PubMed Google Scholar
  26. [28]28. Lorson, C.L. ∙ Hahnen, E. ∙ Androphy, E.J. ... A single nucleotide in the SMN gene regulates splicing and is responsible for spinal muscular atrophy Proc. Natl. Acad. Sci. USA. 1999; 96:6307-6311 Crossref Scopus (1263) PubMed Google Scholar
  27. [30]30. Agafonov, D.E. ∙ Deckert, J. ∙ Wolf, E. ... Semiquantitative proteomic analysis of the human spliceosome via a novel two-dimensional gel electrophoresis method Mol. Cell. Biol. 2011; 31:2667-2682 Crossref Scopus (151) PubMed Google Scholar
  28. [31]31. Kastner, B. ∙ Will, C.L. ∙ Stark, H. ... Structural Insights into Nuclear pre-mRNA Splicing in Higher Eukaryotes Cold Spring Harb. Perspect. Biol. 2019; 11, a032417 Crossref Scopus (81) PubMed Google Scholar
  29. [34]34. Gottschalk, A. ∙ Tang, J. ∙ Puig, O. ... A comprehensive biochemical and genetic analysis of the yeast U1 snRNP reveals five novel proteins RNA. 1998; 4:374-393 PubMed Google Scholar
  30. [35]35. Li, X. ∙ Liu, S. ∙ Jiang, J. ... CryoEM structure of Saccharomyces cerevisiae U1 snRNP offers insight into alternative splicing Nat. Commun. 2017; 8:1035 Crossref Scopus (0) PubMed Google Scholar
  31. [36]36. Fortes, P. ∙ Longman, D. ∙ McCracken, S. ... Identification and characterization of RED120: a conserved PWI domain protein with links to splicing and 3′-end formation FEBS Lett. 2007; 581:3087-3097 Crossref Scopus (0) PubMed Google Scholar
  32. [37]37. Carlson, S.M. ∙ Soulette, C.M. ∙ Yang, Z. ... RBM25 is a global splicing factor promoting inclusion of alternatively spliced exons and is itself regulated by lysine mono-methylation J. Biol. Chem. 2017; 292:13381-13390 Full Text Full Text (PDF) Scopus (0) PubMed Google Scholar
  33. [38]38. Wessels, H.H. ∙ Méndez-Mancilla, A. ∙ Guo, X. ... Massively parallel Cas13 screens reveal principles for guide RNA design Nat. Biotechnol. 2020; 38:722-727 Crossref Scopus (200) PubMed Google Scholar
  34. [39]39. Guo, X. ∙ Rahman, J.A. ∙ Wessels, H.H. ... Transcriptome-wide Cas13 guide RNA design for model organisms and viral RNA pathogens Cell Genom. 2021; 1, 100001 Full Text Full Text (PDF) Scopus (0) PubMed Google Scholar
  35. [40]40. Liu, F. ∙ Gong, C.X. Tau exon 10 alternative splicing and tauopathies Mol. Neurodegener. 2008; 3:8 Crossref Scopus (0) PubMed Google Scholar
  36. [41]41. Parras, A. ∙ Anta, H. ∙ Santos-Galindo, M. ... Autism-like phenotype and risk gene mRNA deadenylation by CPEB4 mis-splicing Nature. 2018; 560:441-446 Crossref Scopus (93) PubMed Google Scholar
  37. [42]42. Liu, Z. ∙ Jillette, N. ∙ Robson, P. ... Simultaneous multifunctional transcriptome engineering by CRISPR RNA scaffold Nucleic Acids Res. 2023; 51, e77 Crossref Scopus (0) Google Scholar
  38. [44]44. Gong, D. ∙ Yang, F. ∙ Li, F. ... Crystal structure and functional characterization of the human RBM25 PWI domain and its flanking basic region Biochem. J. 2013; 450:85-94 Crossref Scopus (0) PubMed Google Scholar
  39. [45]45. Zhou, A. ∙ Ou, A.C. ∙ Cho, A. ... Novel splicing factor RBM25 modulates Bcl-x pre-mRNA 5′ splice site selection Mol. Cell. Biol. 2008; 28:5924-5936 Crossref Scopus (0) PubMed Google Scholar
  40. [46]46. Le Sénéchal, R. ∙ Keruzoré, M. ∙ Quillévéré, A. ... Alternative splicing of BCL-x is controlled by RBM25 binding to a G-quadruplex in BCL-x pre-mRNA Nucleic Acids Res. 2023; 51:11239-11257 Crossref Scopus (0) PubMed Google Scholar
  41. [47]47. Boutz, P.L. ∙ Stoilov, P. ∙ Li, Q. ... A post-transcriptional regulatory switch in polypyrimidine tract-binding proteins reprograms alternative splicing in developing neurons Genes Dev. 2007; 21:1636-1652 Crossref Scopus (429) PubMed Google Scholar
  42. [49]49. Han, H. ∙ Best, A.J. ∙ Braunschweig, U. ... Systematic exploration of dynamic splicing networks reveals conserved multistage regulators of neurogenesis Mol. Cell. 2022; 82:2982-2999.e14 Full Text Full Text (PDF) Scopus (9) PubMed Google Scholar
  43. [50]50. Roth, J.F. ∙ Braunschweig, U. ∙ Wu, M. ... Systematic analysis of alternative exon-dependent interactome remodeling reveals multitasking functions of gene regulatory factors Mol. Cell. 2023; 83:4222-4238.e10 Full Text Full Text (PDF) Scopus (0) PubMed Google Scholar
  44. [52]52. Gapinske, M. ∙ Luu, A. ∙ Winter, J. ... CRISPR-SKIP: programmable gene splicing with single base editors Genome Biol. 2018; 19:107 Crossref Scopus (127) PubMed Google Scholar
  45. [53]53. Zhang, C. ∙ Konermann, S. ∙ Brideau, N.J. ... Structural Basis for the RNA-Guided Ribonuclease Activity of CRISPR-Cas13d Cell. 2018; 175:212-223.e17 Full Text Full Text (PDF) Scopus (155) PubMed Google Scholar
  46. [54]54. Raguram, A. ∙ Banskota, S. ∙ Liu, D.R. Therapeutic in vivo delivery of gene editing agents Cell. 2022; 185:2806-2827 Full Text Full Text (PDF) Scopus (153) PubMed Google Scholar
  47. [55]55. Tapial, J. ∙ Ha, K.C.H. ∙ Sterne-Weiler, T. ... An atlas of alternative splicing profiles and functional associations reveals new regulatory programs and genes that simultaneously express multiple major isoforms Genome Res. 2017; 27:1759-1768 Crossref Scopus (237) PubMed Google Scholar
  48. [56]56. Zhao, S. ∙ Jiang, E. ∙ Chen, S. ... PiggyBac transposon vectors: the tools of the human gene encoding Transl. Lung Cancer Res. 2016; 5:120-125 Crossref Scopus (0) PubMed Google Scholar
  49. [57]57. Schertzer, M.D. ∙ Thulson, E. ∙ Braceros, K.C.A. ... A piggyBac-based toolkit for inducible genome editing in mammalian cells RNA. 2019; 25:1047-1058 Crossref Scopus (24) PubMed Google Scholar
  50. [58]58. Dobin, A. ∙ Davis, C.A. ∙ Schlesinger, F. ... STAR: ultrafast universal RNA-seq aligner Bioinformatics. 2013; 29:15-21 Crossref Scopus (26617) PubMed Google Scholar
  51. [59]59. McCarthy, D.J. ∙ Chen, Y. ∙ Smyth, G.K. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation Nucleic Acids Res. 2012; 40:4288-4297 Crossref Scopus (3367) PubMed Google Scholar
  52. [60]60. Wessels, H.H. ∙ Stirn, A. ∙ Méndez-Mancilla, A. ... Prediction of on-target and off-target activity of CRISPR-Cas13d guide RNAs using deep learning Nat. Biotechnol. 2024; 42:628-637 Crossref Scopus (0) PubMed Google Scholar

Cited by

Sorted by citations

Authors
Li, J. D., Taipale, M., & Blencowe, B. J.
Affiliations
University of Toronto (CA)
Corresponding author
  • Taipale, Mikko
  • Blencowe, Benjamin J.
Venue
Molecular Cell
Publisher
Elsevier BV
Published
2024-07
Volume
84
Issue
13
Pages
2573-2589.e5
ISSN
1097-2765 (ISSN-L)
OpenAlex
W4399970126
Cited by
31
References
4
Citations by year
2026: 12 · 2025: 8 · 2024: 11
FWCI
4.01
Type
journal article
Language
en
Open access
Locations
  • Molecular Cell (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Canada Research Chairs (LU506463)
  • Canadian Institutes of Health Research
  • Simons Foundation
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
Keywords
alternative splicing, PUF60, embryonic stem cells
MeSH terms
RNA Splicing Factors, RNA, Guide, CRISPR-Cas Systems, Animals, Exons, Humans, RNA-Binding Proteins, Alternative Splicing, Mice, HEK293 Cells, CRISPR-Cas Systems

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review