Structural and functional study of RNA-protein interactions

Center for Excellence in Molecular Cell Science (Shanghai Institute of Biochemistry and Cell Biology), CAS

Key Laboratory of RNA Innovation, Science and Engineering (RISE), CAS

Research Summary

Sitting at the midpoint of the central dogma of gene expression, RNA holds key information for characterizing, modeling, and predicting the status of cells. However, we have not yet achieved a comprehensive understanding of gene expression regulation at the RNA level. The remaining questions are twofold, intertwined: the heterogeneity of RNA molecules and the combinatorial regulation through the arrangement of multiple regulatory elements in the linear sequence of an RNA. Understanding gene regulation at RNA level, for both endogenous and exogenous RNAs, has direct importance in guiding the design of RNA-based therapeutics.

In human cells, a single gene can often produce several isoforms of transcripts. Different isoforms may contain different RNA elements and can lead to differences in protein binding and RNA localization. Moreover, even transcripts of the same isoform can exhibit higher levels of heterogeneity such as differences in subcellular localization, diverse RNA:protein interactome, altered RNA structure, and changes in RNA modification. My lab uses integrative approaches to decipher the heterogeneity of RNA and their interactions with RNA binding proteins (RBPs). We aim to discover the principles that govern the regulation of mRNA expression through the combined effects of RNA sequence elements, RNA structure, and binding of RBPs for both endogenous and exogenous RNAs.

Projects

Engineering of RNA editors as molecular recorders

We developed a REMORA (RNA Encoded Molecular Recording in Adenosines), to measure the interaction between RBPs and RNAs at the single-molecule level. We engineered an improved single-stranded RNA A-to-I editor, rABE, using directed protein evolution. Fusing rABE with RBP introduces A-to-I edits adjacent to RBP binding sites on RNA, which can be identified by RNA-seq. Combined with long-read sequencing, we can identify novel isoform-specific binding patterns of RBPs. REMORA is compatible with many other RNA modification-based information encoding strategies, enabling investigation of mRNA regulation in multiple layers.

RNA structure in RNA-RBP interactions

RNA structures are important cis-regulatory elements by themselves and through interactions with RBPs. Determining the in vivo structure of RNA has been a challenging task due to its heterogeneous nature. RNA structure probing methods such as SHAPE-MaP only provide an averaged measurement of all coexisting conformations of an RNA species, such measurement is further obscured by the interactions between RBPs and RNAs. We are developing experimental and computational tools to simultaneously probe RNA structure and RBP binding sites at single molecule level. This will provide rich information to decipher the heterogeneity in RBP binding and RNA structure.

People

About the PI

Yizhu Lin  林一竹
Principle Investigator

2008-2012
B.S., University of Science and Technology of China
2012-2018
Ph.D., Carnegie Mellon University, Department of Biological Sciences
2018-2024
Postdoc., University of California, San Francisco
2024 – now
Principle Investigator, CEMCS, SIBCB, CAS, China
Key Laboratory of RNA Innovation, Science and Engineering (RISE), CAS, China

Lab Members

陈方亦
Fangyi Chen
Graduate Student
梁雪萍
Xueping Liang
Research Assistant
刘艾洁
Aijie Liu
Lab Manager
沈怡成
Yicheng Shen
Graduate Student
唐宏怡如
Hongyiru Tang
Graduate Student
许子夜
Ziye Xu
Graduate Student
张香凝
Xiangning Zhang
Research Assistant

Publications

    Peer-reviewed manuscripts

  1. Lin,Y., Kwok,S.,Thai,B.Q.,Alabi,Y.,Ostrowski,M.S.,Wu,K. and Floor,S.N. RNA molecular recording with an engineered RNA deaminase. Nature Methods. doi:10.1038/s41592-023-02046-z (2023)
  2. Jiang,Y.,Song,L.,Lin,Y. et al. ROS-mediated SRMS activation confers platinum resistance in ovarian cancer. Oncogene 42,1672–1684. https://doi.org/10.1038/s41388-023-02679-6 (2023)
  3. Gordon,D. E.,Jang,G. M.,…Lin,Y.,et al..A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. Nature,583(7816),459–468. (2020)
  4. Lin,Y.*,May,G.E.*,Kready,H.,Nazzaro,L.,Mao,M.,Spealman,P.,Creeger,Y. and McManus,C.J. Impacts of uORF codon identity and position on translation regulation. Nucleic Acids Res.,2,1–10. (2019) (*equal contribution)
  5. Huang,B.,Zhang,K.,Lin,Y.,Schölkopf,B. and Glymour,C. Generalized score functions for causal discovery. Proc. ACM SIGKDD Int. Conf. Knowl. Discov. Data Min.,10.1145/3219819.3220104. (2018)
  6. Lin,Y.,Schmidt,B.F.,Bruchez,M.P. and McManus,C.J. Structural analyses of NEAT1 lncRNAs suggest long-range RNA interactions that may contribute to paraspeckle architecture. Nucleic Acids Res.,10.1093/nar/gky046. (2018)
  7. Lin,Y.,May,G.E. and McManus,C.J. Mod-seq: A high-throughput method for probing RNA secondary structure. Methods in enzymology 558,125-152 Elsevier Inc. (2015)
  8. Talkish,J.,May,G.,Lin,Y.,Woolford,J.L. and McManus,C.J. Mod-seq: high-throughput sequencing for chemical probing of RNA structure. RNA,20,713–20. (2014)
  9. Previews and Commentaries

  10. Lin,Y and Floor,S.N,RNA structure underpins a dynamic regulatory switch. Nature 621,259-260 (2023)

Join Us

Ph.D. students

We recruit graduate students through the PhD program @ SIBCB (http://www.cemcs.cas.cn/). Please email Dr. Lin (linyizhu@sibcb.ac.cn) if you are interested in internship or rotation opportunities (for incoming / first year grads).

Postdocs, Staff Scientists and co-PI

We are looking for Postdocs and Scientists (助理研究员/副研究员) to join us.

Qualifications:

  1. Ph.D. in molecular biology, biochemistry, genetics, bioinformatics, or a related field, with a focus on RNA biology;
  2. Proven track record of scientific excellence as evidenced by high-quality publications;
  3. Proficiency in molecular biology techniques, including RNA isolation, RNA-seq, and CRISPR-Cas technologies;
  4. Strong bioinformatics skills, such as RNA-seq data analysis and phylogenetic analysis;
  5. Excellent communication and collaboration skills;
  6. Ability to work independently and as part of a multidisciplinary team.

Preferred Qualifications:

  1. Experiences with high-throughput screening approaches;
  2. Knowledge of RNA therapeutics or RNA-based drug discovery;
  3. Experiences with AI-aided protein engineering, AI-aided structural biology, or machine learning / causal inference for systematic biology;
  4. Experiences in developmental biology.

Application Process:

Interested candidates should submit the following documents to Dr. Lin (linyizhu@sibcb.ac.cn):

  1. A cover letter outlining research interests and career goals;
  2. A detailed CV, including a list of publications;
  3. Contact information for three professional references.

Please format your email title: Application-[Position]-[Name] / 应聘-[职位]-[姓名]

News

  1. Dec. 2024: Welcome to Xiangning Zhang, joining the lab as a research assistant!
  2. Nov. 2024: Welcome to Ziye Xu, joining the lab as a graduate student!
  3. Nov. 2024: Welcome to Xueping Liang, joining the lab as a research assistant!
  4. Nov 2024: We moved to Minhang Campus, CEMCS!
  5. Sep. 2024: Welcome Fangyi Chen, Yicheng Shen and Hongyiru Tang, joining the lab as rotation students!
  6. Sep. 2024: Welcome Aijie Liu, our lab manager!