IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-39054-8.html
   My bibliography  Save this article

PIE-seq: identifying RNA-binding protein targets by dual RNA-deaminase editing and sequencing

Author

Listed:
  • Xiangbin Ruan

    (University of Chicago)

  • Kaining Hu

    (University of Chicago)

  • Xiaochang Zhang

    (University of Chicago)

Abstract

RNA-binding proteins (RBPs) are essential for gene regulation, but it remains a challenge to identify their RNA targets across cell types. Here we present PIE-Seq to investigate Protein-RNA Interaction with dual-deaminase Editing and Sequencing by conjugating C-to-U and A-to-I base editors to RBPs. We benchmark PIE-Seq and demonstrate its sensitivity in single cells, its application in the developing brain, and its scalability with 25 human RBPs. Bulk PIE-Seq identifies canonical binding features for RBPs such as PUM2 and NOVA1, and nominates additional target genes for most tested RBPs such as SRSF1 and TDP-43/TARDBP. Homologous RBPs frequently edit similar sequences and gene sets in PIE-Seq while different RBP families show distinct targets. Single-cell PIE-PUM2 uncovers comparable targets to bulk samples and applying PIE-PUM2 to the developing mouse neocortex identifies neural-progenitor- and neuron-specific target genes such as App. In summary, PIE-Seq provides an orthogonal approach and resource to uncover RBP targets in mice and human cells.

Suggested Citation

  • Xiangbin Ruan & Kaining Hu & Xiaochang Zhang, 2023. "PIE-seq: identifying RNA-binding protein targets by dual RNA-deaminase editing and sequencing," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39054-8
    DOI: 10.1038/s41467-023-39054-8
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-39054-8
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-39054-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Miyoko Higuchi & Stefan Maas & Frank N. Single & Jochen Hartner & Andrei Rozov & Nail Burnashev & Dirk Feldmeyer & Rolf Sprengel & Peter H. Seeburg, 2000. "Point mutation in an AMPA receptor gene rescues lethality in mice deficient in the RNA-editing enzyme ADAR2," Nature, Nature, vol. 406(6791), pages 78-81, July.
    2. Donny D. Licatalosi & Aldo Mele & John J. Fak & Jernej Ule & Melis Kayikci & Sung Wook Chi & Tyson A. Clark & Anthony C. Schweitzer & John E. Blume & Xuning Wang & Jennifer C. Darnell & Robert B. Darn, 2008. "HITS-CLIP yields genome-wide insights into brain alternative RNA processing," Nature, Nature, vol. 456(7221), pages 464-469, November.
    3. Yoseph Barash & John A. Calarco & Weijun Gao & Qun Pan & Xinchen Wang & Ofer Shai & Benjamin J. Blencowe & Brendan J. Frey, 2010. "Deciphering the splicing code," Nature, Nature, vol. 465(7294), pages 53-59, May.
    4. 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.
    5. Manuel Ascano & Neelanjan Mukherjee & Pradeep Bandaru & Jason B. Miller & Jeffrey D. Nusbaum & David L. Corcoran & Christine Langlois & Mathias Munschauer & Scott Dewell & Markus Hafner & Zev Williams, 2012. "FMRP targets distinct mRNA sequence elements to regulate protein expression," Nature, Nature, vol. 492(7429), pages 382-386, December.
    6. Xiao Wang & Zhike Lu & Adrian Gomez & Gary C. Hon & Yanan Yue & Dali Han & Ye Fu & Marc Parisien & Qing Dai & Guifang Jia & Bing Ren & Tao Pan & Chuan He, 2014. "N6-methyladenosine-dependent regulation of messenger RNA stability," Nature, Nature, vol. 505(7481), pages 117-120, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Matvei Khoroshkin & Andrey Buyan & Martin Dodel & Albertas Navickas & Johnny Yu & Fathima Trejo & Anthony Doty & Rithvik Baratam & Shaopu Zhou & Sean B. Lee & Tanvi Joshi & Kristle Garcia & Benedict C, 2024. "Systematic identification of post-transcriptional regulatory modules," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    2. Areum Han & Peter Stoilov & Anthony J Linares & Yu Zhou & Xiang-Dong Fu & Douglas L Black, 2014. "De Novo Prediction of PTBP1 Binding and Splicing Targets Reveals Unexpected Features of Its RNA Recognition and Function," PLOS Computational Biology, Public Library of Science, vol. 10(1), pages 1-18, January.
    3. Wei Hu & Yangjun Wu & Qili Shi & Jingni Wu & Deping Kong & Xiaohua Wu & Xianghuo He & Teng Liu & Shengli Li, 2022. "Systematic characterization of cancer transcriptome at transcript resolution," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    4. Haoran Zhu & Yuning Yang & Yunhe Wang & Fuzhou Wang & Yujian Huang & Yi Chang & Ka-chun Wong & Xiangtao Li, 2023. "Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    5. Yichi Niu & Jiayi Luo & Chenghang Zong, 2024. "Single-cell total-RNA profiling unveils regulatory hubs of transcription factors," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    6. Jorge Vaquero-Garcia & Joseph K. Aicher & San Jewell & Matthew R. Gazzara & Caleb M. Radens & Anupama Jha & Scott S. Norton & Nicholas F. Lahens & Gregory R. Grant & Yoseph Barash, 2023. "RNA splicing analysis using heterogeneous and large RNA-seq datasets," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    7. Yocelyn Recinos & Dmytro Ustianenko & Yow-Tyng Yeh & Xiaojian Wang & Martin Jacko & Lekha V. Yesantharao & Qiyang Wu & Chaolin Zhang, 2024. "CRISPR-dCas13d-based deep screening of proximal and distal splicing-regulatory elements," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    8. Ridvan Eksi & Hong-Dong Li & Rajasree Menon & Yuchen Wen & Gilbert S Omenn & Matthias Kretzler & Yuanfang Guan, 2013. "Systematically Differentiating Functions for Alternatively Spliced Isoforms through Integrating RNA-seq Data," PLOS Computational Biology, Public Library of Science, vol. 9(11), pages 1-16, November.
    9. Shujie Chen, & Lu Zhang & Mengjie Li & Ying Zhang & Meng Sun & Lingfang Wang & Jiebo Lin & Yun Cui & Qian Chen & Chenqi Jin & Xiang Li & Boya Wang & Hao Chen & Tianhua Zhou & Liangjing Wang & Chih-Hun, 2022. "Fusobacterium nucleatum reduces METTL3-mediated m6A modification and contributes to colorectal cancer metastasis," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    10. Zhiyuan Luo & Jiacheng Zhang & Jingyi Fei & Shengdong Ke, 2022. "Deep learning modeling m6A deposition reveals the importance of downstream cis-element sequences," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    11. Haofan Sun & Bin Fu & Xiaohong Qian & Ping Xu & Weijie Qin, 2024. "Nuclear and cytoplasmic specific RNA binding proteome enrichment and its changes upon ferroptosis induction," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    12. Xiao Han & Lijuan Liu & Saihua Huang & Wenfeng Xiao & Yajing Gao & Weitao Zhou & Caiyan Zhang & Hongmei Zheng & Lan Yang & Xueru Xie & Qiuyan Liang & Zikun Tu & Hongmiao Yu & Jinrong Fu & Libo Wang & , 2023. "RNA m6A methylation modulates airway inflammation in allergic asthma via PTX3-dependent macrophage homeostasis," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    13. Timofey A. Karginov & Antoine Ménoret & Anthony T. Vella, 2022. "Optimal CD8+ T cell effector function requires costimulation-induced RNA-binding proteins that reprogram the transcript isoform landscape," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    14. Anna Knörlein & Chris P. Sarnowski & Tebbe Vries & Moritz Stoltz & Michael Götze & Ruedi Aebersold & Frédéric H.-T. Allain & Alexander Leitner & Jonathan Hall, 2022. "Nucleotide-amino acid π-stacking interactions initiate photo cross-linking in RNA-protein complexes," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    15. Sakshi Jain & Lukasz Koziej & Panagiotis Poulis & Igor Kaczmarczyk & Monika Gaik & Michal Rawski & Namit Ranjan & Sebastian Glatt & Marina V. Rodnina, 2023. "Modulation of translational decoding by m6A modification of mRNA," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    16. Elizabeth A. Werren & Geneva R. LaForce & Anshika Srivastava & Delia R. Perillo & Shaokun Li & Katherine Johnson & Safa Baris & Brandon Berger & Samantha L. Regan & Christian D. Pfennig & Sonja Munnik, 2024. "TREX tetramer disruption alters RNA processing necessary for corticogenesis in THOC6 Intellectual Disability Syndrome," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    17. Bin Li & Wen Xi & Ying Bai & Xue Liu & Yuan Zhang & Lu Li & Liang Bian & Chenchen Liu & Ying Tang & Ling Shen & Li Yang & Xiaochun Gu & Jian Xie & Zhongqiu Zhou & Yu Wang & Xiaoyu Yu & Jianhong Wang &, 2023. "FTO-dependent m6A modification of Plpp3 in circSCMH1-regulated vascular repair and functional recovery following stroke," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    18. Miquel Anglada-Girotto & Ludovica Ciampi & Sophie Bonnal & Sarah A. Head & Samuel Miravet-Verde & Luis Serrano, 2024. "In silico RNA isoform screening to identify potential cancer driver exons with therapeutic applications," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    19. Tao Wang & Beibei Chen & MinSoo Kim & Yang Xie & Guanghua Xiao, 2014. "A Model-Based Approach to Identify Binding Sites in CLIP-Seq Data," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-11, April.
    20. Robert Stojnic & Audrey Qiuyan Fu & Boris Adryan, 2012. "A Graphical Modelling Approach to the Dissection of Highly Correlated Transcription Factor Binding Site Profiles," PLOS Computational Biology, Public Library of Science, vol. 8(11), pages 1-13, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39054-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.