Literature DB >> 19527663

Quantitative analysis of single-molecule RNA-protein interaction.

Alexander Fuhrmann1, Jan C Schoening, Dario Anselmetti, Dorothee Staiger, Robert Ros.   

Abstract

RNA-binding proteins impact gene expression at the posttranscriptional level by interacting with cognate cis elements within the transcripts. Here, we apply dynamic single-molecule force spectroscopy to study the interaction of the Arabidopsis glycine-rich RNA-binding protein AtGRP8 with its RNA target. A dwell-time-dependent analysis of the single-molecule data in combination with competition assays and site-directed mutagenesis of both the RNA target and the RNA-binding domain of the protein allowed us to distinguish and quantify two different binding modes. For dwell times <0.21 s an unspecific complex with a lifetime of 0.56 s is observed, whereas dwell times >0.33 s result in a specific interaction with a lifetime of 208 s. The corresponding reaction lengths are 0.28 nm for the unspecific and 0.55 nm for the specific AtGRP8-RNA interactions, indicating formation of a tighter complex with increasing dwell time. These two binding modes cannot be dissected in ensemble experiments. Quantitative titration in RNA bandshift experiments yields an ensemble-averaged equilibrium constant of dissociation of KD = 2 x 10(-7) M. Assuming comparable on-rates for the specific and nonspecific binding modes allows us to estimate their free energies as DeltaG0 = -42 kJ/mol and DeltaG0 = -28 kJ/mol for the specific and nonspecific binding modes, respectively. Thus, we show that single-molecule force spectroscopy with a refined statistical analysis is a potent tool for the analysis of protein-RNA interactions without the drawback of ensemble averaging. This makes it possible to discriminate between different binding modes or sites and to analyze them quantitatively. We propose that this method could be applied to complex interactions of biomolecules in general, and be of particular interest for the investigation of multivalent binding reactions.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19527663      PMCID: PMC2712025          DOI: 10.1016/j.bpj.2009.03.022

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  42 in total

Review 1.  Grabbing the cat by the tail: manipulating molecules one by one.

Authors:  C Bustamante; J C Macosko; G J Wuite
Journal:  Nat Rev Mol Cell Biol       Date:  2000-11       Impact factor: 94.444

2.  Supramolecular chemistry at the single-molecule level.

Authors:  Rainer Eckel; Robert Ros; Björn Decker; Jochen Mattay; Dario Anselmetti
Journal:  Angew Chem Int Ed Engl       Date:  2005-01-07       Impact factor: 15.336

Review 3.  The RNA recognition motif, a plastic RNA-binding platform to regulate post-transcriptional gene expression.

Authors:  Christophe Maris; Cyril Dominguez; Frédéric H-T Allain
Journal:  FEBS J       Date:  2005-05       Impact factor: 5.542

Review 4.  From birth to death: the complex lives of eukaryotic mRNAs.

Authors:  Melissa J Moore
Journal:  Science       Date:  2005-09-02       Impact factor: 47.728

5.  Mapping the interaction forces between TAR RNA and TAT peptides on GaAs surfaces using chemical force microscopy.

Authors:  Youngnam Cho; Albena Ivanisevic
Journal:  Langmuir       Date:  2006-02-14       Impact factor: 3.882

6.  Correction of systematic errors in single-molecule force spectroscopy with polymeric tethers by atomic force microscopy.

Authors:  Chad Ray; Jason R Brown; Boris B Akhremitchev
Journal:  J Phys Chem B       Date:  2007-02-07       Impact factor: 2.991

7.  Specific antigen/antibody interactions measured by force microscopy.

Authors:  U Dammer; M Hegner; D Anselmetti; P Wagner; M Dreier; W Huber; H J Güntherodt
Journal:  Biophys J       Date:  1996-05       Impact factor: 4.033

8.  Direct measurement of the forces between complementary strands of DNA.

Authors:  G U Lee; L A Chrisey; R J Colton
Journal:  Science       Date:  1994-11-04       Impact factor: 47.728

9.  Detection and localization of individual antibody-antigen recognition events by atomic force microscopy.

Authors:  P Hinterdorfer; W Baumgartner; H J Gruber; K Schilcher; H Schindler
Journal:  Proc Natl Acad Sci U S A       Date:  1996-04-16       Impact factor: 11.205

10.  Dynamic force spectroscopy of parallel individual Mucin1-antibody bonds.

Authors:  Todd A Sulchek; Raymond W Friddle; Kevin Langry; Edmond Y Lau; Huguette Albrecht; Timothy V Ratto; Sally J DeNardo; Michael E Colvin; Aleksandr Noy
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-03       Impact factor: 11.205

View more
  8 in total

1.  Long lifetime of hydrogen-bonded DNA basepairs by force spectroscopy.

Authors:  Alexander Fuhrmann; Sebastian Getfert; Qiang Fu; Peter Reimann; Stuart Lindsay; Robert Ros
Journal:  Biophys J       Date:  2012-05-15       Impact factor: 4.033

2.  Antibody-unfolding and metastable-state binding in force spectroscopy and recognition imaging.

Authors:  Parminder Kaur; Alexander Fuhrmann; Robert Ros; Linda Obenauer Kutner; Lumelle A Schneeweis; Ryman Navoa; Kirby Steger; Lei Xie; Christopher Yonan; Ralph Abraham; Michael J Grace; Stuart Lindsay
Journal:  Biophys J       Date:  2011-01-05       Impact factor: 4.033

3.  Directly measuring single-molecule heterogeneity using force spectroscopy.

Authors:  Michael Hinczewski; Changbong Hyeon; D Thirumalai
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-17       Impact factor: 11.205

4.  Catch bond interaction between cell-surface sulfatase Sulf1 and glycosaminoglycans.

Authors:  Alexander Harder; Ann-Kristin Möller; Fabian Milz; Phillipp Neuhaus; Volker Walhorn; Thomas Dierks; Dario Anselmetti
Journal:  Biophys J       Date:  2015-04-07       Impact factor: 4.033

5.  Genome-wide identification and phylogenetic analysis of plant RNA binding proteins comprising both RNA recognition motifs and contiguous glycine residues.

Authors:  Martin Lewinski; Armin Hallmann; Dorothee Staiger
Journal:  Mol Genet Genomics       Date:  2015-11-20       Impact factor: 3.291

6.  Quantitative modeling assesses the contribution of bond strengthening, rebinding and force sharing to the avidity of biomolecule interactions.

Authors:  Valentina Lo Schiavo; Philippe Robert; Laurent Limozin; Pierre Bongrand
Journal:  PLoS One       Date:  2012-09-14       Impact factor: 3.240

Review 7.  Direct Interaction of miRNA and circRNA with the Oncosuppressor p53: An Intriguing Perspective in Cancer Research.

Authors:  Anna Rita Bizzarri; Salvatore Cannistraro
Journal:  Cancers (Basel)       Date:  2021-12-03       Impact factor: 6.639

8.  An hnRNP-like RNA-binding protein affects alternative splicing by in vivo interaction with transcripts in Arabidopsis thaliana.

Authors:  Corinna Streitner; Tino Köster; Craig G Simpson; Paul Shaw; Selahattin Danisman; John W S Brown; Dorothee Staiger
Journal:  Nucleic Acids Res       Date:  2012-10-04       Impact factor: 16.971

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.