Single-molecule RNA sizing enables quantitative analysis of alternative transcription termination

被引:8
|
作者
Patino-Guillen, Gerardo [1 ]
Pesovic, Jovan [2 ]
Panic, Marko [2 ,3 ]
Savic-Pavicevic, Dusanka [2 ]
Boskovic, Filip [1 ]
Keyser, Ulrich Felix [1 ]
机构
[1] Univ Cambridge, Cavendish Lab, Cambridge, England
[2] Univ Belgrade, Ctr Human Mol Genet, Fac Biol, Belgrade, Serbia
[3] Inst Virol Vaccines & Sera Torlak, Belgrade, Serbia
基金
欧洲研究理事会; 英国工程与自然科学研究理事会;
关键词
DNA; REPLICATION; POLYMERASE; TRANSPORT; REPEATS; BINDING; ROLES;
D O I
10.1038/s41467-024-45968-8
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Transcription, a critical process in molecular biology, has found many applications in RNA synthesis, including mRNA vaccines and RNA therapeutics. However, current RNA characterization technologies suffer from amplification and enzymatic biases that lead to loss of native information. Here, we introduce a strategy to quantitatively study both transcription and RNA polymerase behaviour by sizing RNA with RNA nanotechnology and nanopores. To begin, we utilize T7 RNA polymerase to transcribe linear DNA lacking termination sequences. Surprisingly, we discover alternative transcription termination in the origin of replication sequence. Next, we employ circular DNA without transcription terminators to perform rolling circle transcription. This allows us to gain valuable insights into the processivity and transcription behaviour of RNA polymerase at the single-molecule level. Our work demonstrates how RNA nanotechnology and nanopores may be used in tandem for the direct and quantitative analysis of RNA transcripts. This methodology provides a promising pathway for accurate RNA structural mapping by enabling the study of full-length RNA transcripts at the single-molecule level. The development of RNA technologies demands accurate assessment of transcript size and heterogeneity. Here, authors report a nanopore-based approach to study full-length RNA transcripts at the single-molecule level, identify premature transcription termination and study rolling-circle transcription.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Single-molecule RNA science
    Zhuang, XW
    ANNUAL REVIEW OF BIOPHYSICS AND BIOMOLECULAR STRUCTURE, 2005, 34 : 399 - 414
  • [22] Single-molecule RNA folding
    Bokinsky, G
    Zhuang, XW
    ACCOUNTS OF CHEMICAL RESEARCH, 2005, 38 (07) : 566 - 573
  • [23] Single-Molecule Sizing through Nanocavity Confinement
    Jacquat, Raphael P. B.
    Krainer, Georg
    Peter, Quentin A. E.
    Babar, Ali Nawaz
    Vanderpoorten, Oliver
    Xu, Catherine K.
    Welsh, Timothy J.
    Kaminski, Clemens F.
    Keyser, Ulrich F.
    Baumberg, Jeremy J.
    Knowles, Tuomas P. J.
    NANO LETTERS, 2023, 23 (05) : 1629 - 1636
  • [24] Single-molecule digital sizing of proteins in solution
    Krainer, Georg
    Jacquat, Raphael P. B.
    Schneider, Matthias M.
    Welsh, Timothy J.
    Fan, Jieyuan
    Peter, Quentin A. E.
    Andrzejewska, Ewa A.
    Sneideriene, Greta
    Czekalska, Magdalena A.
    Ausserwoeger, Hannes
    Chai, Lin
    Arter, William E.
    Saar, Kadi L.
    Herling, Therese W.
    Franzmann, Titus M.
    Kosmoliaptsis, Vasilis
    Alberti, Simon
    Hartl, F. Ulrich
    Lee, Steven F.
    Knowles, Tuomas P. J.
    NATURE COMMUNICATIONS, 2024, 15 (01)
  • [25] Sizing trinucleotide repeat sequences by single-molecule analysis of fluorescence brightness
    Schlapak, Robert
    Kinns, Helen
    Wechselberger, Christian
    Hesse, Jan
    Howorka, Stefan
    CHEMPHYSCHEM, 2007, 8 (11) : 1618 - 1621
  • [26] Single-Molecule Sensors: Challenges and Opportunities for Quantitative Analysis
    Gooding, J. Justin
    Gaus, Katharina
    ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2016, 55 (38) : 11354 - 11366
  • [27] Quantitative Data Analysis in Single-Molecule Localization Microscopy
    Wu, Yu-Le
    Tschanz, Aline
    Krupnik, Leonard
    Ries, Jonas
    TRENDS IN CELL BIOLOGY, 2020, 30 (11) : 837 - 851
  • [28] Kinetic frustration enables single-molecule computation
    Zhang, Zhongmin
    Lu, Zhiyue
    JOURNAL OF CHEMICAL PHYSICS, 2025, 162 (13):
  • [29] A Single-Molecule View of Archaeal Transcription
    Kramm, Kevin
    Endesfelder, Ulrike
    Grohmann, Dina
    JOURNAL OF MOLECULAR BIOLOGY, 2019, 431 (20) : 4116 - 4131
  • [30] Single-molecule analysis of transcription factor binding at transcription sites in live cells
    Morisaki, Tatsuya
    Mueller, Waltraud G.
    Golob, Nicole
    Mazza, Davide
    McNally, James G.
    NATURE COMMUNICATIONS, 2014, 5