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High-throughput mutagenesis identifies mutations and RNA-binding proteins controlling CD19 splicing and CART-19 therapy resistance

Author

Listed:
  • Mariela Cortés-López

    (Institute of Molecular Biology (IMB))

  • Laura Schulz

    (Institute of Molecular Biology (IMB))

  • Mihaela Enculescu

    (Institute of Molecular Biology (IMB))

  • Claudia Paret

    (University Medical Center of the Johannes Gutenberg University Mainz
    University Cancer Center (UCT), University Medical Center of the Johannes Gutenberg University Mainz
    German Cancer Consortium (DKTK), site Frankfurt/Mainz, Germany, German Cancer Research Center (DKFZ))

  • Bea Spiekermann

    (Institute of Molecular Biology (IMB))

  • Mathieu Quesnel-Vallières

    (Perelman School of Medicine at the University of Pennsylvania
    Perelman School of Medicine at the University of Pennsylvania)

  • Manuel Torres-Diz

    (Children’s Hospital of Philadelphia)

  • Sebastian Unic

    (University of Stuttgart)

  • Anke Busch

    (Institute of Molecular Biology (IMB))

  • Anna Orekhova

    (Institute of Molecular Biology (IMB))

  • Monika Kuban

    (University of Stuttgart)

  • Mikhail Mesitov

    (Institute of Molecular Biology (IMB))

  • Miriam M. Mulorz

    (Institute of Molecular Biology (IMB))

  • Rawan Shraim

    (Children’s Hospital of Philadelphia
    University of Pennsylvania Perelman School of Medicine)

  • Fridolin Kielisch

    (Institute of Molecular Biology (IMB))

  • Jörg Faber

    (University Medical Center of the Johannes Gutenberg University Mainz
    University Cancer Center (UCT), University Medical Center of the Johannes Gutenberg University Mainz
    German Cancer Consortium (DKTK), site Frankfurt/Mainz, Germany, German Cancer Research Center (DKFZ))

  • Yoseph Barash

    (Perelman School of Medicine at the University of Pennsylvania)

  • Andrei Thomas-Tikhonenko

    (Children’s Hospital of Philadelphia
    Perelman School of Medicine at the University of Pennsylvania)

  • Kathi Zarnack

    (Buchmann Institute for Molecular Life Sciences (BMLS)
    Goethe University Frankfurt)

  • Stefan Legewie

    (Institute of Molecular Biology (IMB)
    University of Stuttgart
    University of Stuttgart)

  • Julian König

    (Institute of Molecular Biology (IMB))

Abstract

Following CART-19 immunotherapy for B-cell acute lymphoblastic leukaemia (B-ALL), many patients relapse due to loss of the cognate CD19 epitope. Since epitope loss can be caused by aberrant CD19 exon 2 processing, we herein investigate the regulatory code that controls CD19 splicing. We combine high-throughput mutagenesis with mathematical modelling to quantitatively disentangle the effects of all mutations in the region comprising CD19 exons 1-3. Thereupon, we identify ~200 single point mutations that alter CD19 splicing and thus could predispose B-ALL patients to developing CART-19 resistance. Furthermore, we report almost 100 previously unknown splice isoforms that emerge from cryptic splice sites and likely encode non-functional CD19 proteins. We further identify cis-regulatory elements and trans-acting RNA-binding proteins that control CD19 splicing (e.g., PTBP1 and SF3B4) and validate that loss of these factors leads to pervasive CD19 mis-splicing. Our dataset represents a comprehensive resource for identifying predictive biomarkers for CART-19 therapy.

Suggested Citation

  • Mariela Cortés-López & Laura Schulz & Mihaela Enculescu & Claudia Paret & Bea Spiekermann & Mathieu Quesnel-Vallières & Manuel Torres-Diz & Sebastian Unic & Anke Busch & Anna Orekhova & Monika Kuban &, 2022. "High-throughput mutagenesis identifies mutations and RNA-binding proteins controlling CD19 splicing and CART-19 therapy resistance," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31818-y
    DOI: 10.1038/s41467-022-31818-y
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    References listed on IDEAS

    as
    1. Eric L. Nostrand & Peter Freese & Gabriel A. Pratt & Xiaofeng Wang & Xintao Wei & Rui Xiao & Steven M. Blue & Jia-Yu Chen & Neal A. L. Cody & Daniel Dominguez & Sara Olson & Balaji Sundararaman & Liju, 2020. "A large-scale binding and functional map of human RNA-binding proteins," Nature, Nature, vol. 583(7818), pages 711-719, July.
    2. Svetlana S. Itskovich & Arun Gurunathan & Jason Clark & Matthew Burwinkel & Mark Wunderlich & Mikaela R. Berger & Aishwarya Kulkarni & Kashish Chetal & Meenakshi Venkatasubramanian & Nathan Salomonis , 2020. "Publisher Correction: MBNL1 regulates essential alternative RNA splicing patterns in MLL-rearranged leukemia," Nature Communications, Nature, vol. 11(1), pages 1-1, December.
    3. David T. Glidden & Jeramiah L. Buerer & Camillo F. Saueressig & William G. Fairbrother, 2021. "Hotspot exons are common targets of splicing perturbations," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    4. Kenichi Yoshida & Masashi Sanada & Yuichi Shiraishi & Daniel Nowak & Yasunobu Nagata & Ryo Yamamoto & Yusuke Sato & Aiko Sato-Otsubo & Ayana Kon & Masao Nagasaki & George Chalkidis & Yutaka Suzuki & M, 2011. "Frequent pathway mutations of splicing machinery in myelodysplasia," Nature, Nature, vol. 478(7367), pages 64-69, October.
    5. Philippe Julien & Belén Miñana & Pablo Baeza-Centurion & Juan Valcárcel & Ben Lehner, 2016. "The complete local genotype–phenotype landscape for the alternative splicing of a human exon," Nature Communications, Nature, vol. 7(1), pages 1-8, September.
    6. Jordi Barretina & Giordano Caponigro & Nicolas Stransky & Kavitha Venkatesan & Adam A. Margolin & Sungjoon Kim & Christopher J.Wilson & Joseph Lehár & Gregory V. Kryukov & Dmitriy Sonkin & Anupama Red, 2012. "Addendum: The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity," Nature, Nature, vol. 492(7428), pages 290-290, December.
    7. Martin Mikl & Amit Hamburg & Yitzhak Pilpel & Eran Segal, 2019. "Dissecting splicing decisions and cell-to-cell variability with designed sequence libraries," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
    8. Jordi Barretina & Giordano Caponigro & Nicolas Stransky & Kavitha Venkatesan & Adam A. Margolin & Sungjoon Kim & Christopher J. Wilson & Joseph Lehár & Gregory V. Kryukov & Dmitriy Sonkin & Anupama Re, 2012. "The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity," Nature, Nature, vol. 483(7391), pages 603-607, March.
    9. Svetlana S. Itskovich & Arun Gurunathan & Jason Clark & Matthew Burwinkel & Mark Wunderlich & Mikaela R. Berger & Aishwarya Kulkarni & Kashish Chetal & Meenakshi Venkatasubramanian & Nathan Salomonis , 2020. "MBNL1 regulates essential alternative RNA splicing patterns in MLL-rearranged leukemia," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
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