Literature DB >> 31071411

In-cell single-molecule FRET measurements reveal three conformational state changes in RAF protein.

Kenji Okamoto1, Kayo Hibino2, Yasushi Sako3.   

Abstract

BACKGROUND: The structures of proteins are intimately related to their functions. Significant efforts have been dedicated to the structural investigation of proteins, mainly those of purified proteins in in vitro environments. Proteins function in living cells and thus protein structures must be regulated by interactions with various molecules, some of which participate in reaction networks, depending on the states, conditions, or actions of the cell. Therefore, it is very important to understand the structural behavior of proteins in living cells.
METHODS: Single-molecule Förster resonance energy transfer (smFRET) measurements were conducted using the alternative laser excitation (ALEX) technique. smFRET distributions of cytosolic Rapidly Accelerated Fibrosarcoma (RAF) proteins in living HeLa cells were obtained with exclusion of the negative effects of photobleached fluorophores and incompletely labeled proteins on smFRET.
RESULTS: smFRET histograms of wildtype (wt) RAF in live cells exhibited two major peaks, whereas that of the S621A mutant, which has been thought to have an expanded structure, was almost single-peaked. A population shift involving the peaks for wt RAF was detected upon epidermal growth factor stimulation. Spontaneous transitions between the conformational states corresponding to the two peaks were also detected using the FRET-two-channel kernel-based density distribution estimator method in comparison to static double-stranded DNA samples.
CONCLUSIONS: Cytosolic CRAF has at least three conformational states; in addition to the closed and open forms, the fully-open form was distinctly specified. Based on the results, we propose a speculative structural model for CRAF. GENERAL SIGNIFICANCE: Structural distribution and changes to proteins in live cells as a result of intracellular interactions were successfully identified. smFRET using ALEX is applicable to any other cytosolic proteins.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alternative laser excitation (ALEX); CRAF; Förster resonance energy transfer (FRET); In-cell measurement; Protein structure; Single molecule

Mesh:

Substances:

Year:  2019        PMID: 31071411     DOI: 10.1016/j.bbagen.2019.04.022

Source DB:  PubMed          Journal:  Biochim Biophys Acta Gen Subj        ISSN: 0304-4165            Impact factor:   3.770


  5 in total

Review 1.  FRET-based dynamic structural biology: Challenges, perspectives and an appeal for open-science practices.

Authors:  Eitan Lerner; Anders Barth; Jelle Hendrix; Benjamin Ambrose; Victoria Birkedal; Scott C Blanchard; Richard Börner; Hoi Sung Chung; Thorben Cordes; Timothy D Craggs; Ashok A Deniz; Jiajie Diao; Jingyi Fei; Ruben L Gonzalez; Irina V Gopich; Taekjip Ha; Christian A Hanke; Gilad Haran; Nikos S Hatzakis; Sungchul Hohng; Seok-Cheol Hong; Thorsten Hugel; Antonino Ingargiola; Chirlmin Joo; Achillefs N Kapanidis; Harold D Kim; Ted Laurence; Nam Ki Lee; Tae-Hee Lee; Edward A Lemke; Emmanuel Margeat; Jens Michaelis; Xavier Michalet; Sua Myong; Daniel Nettels; Thomas-Otavio Peulen; Evelyn Ploetz; Yair Razvag; Nicole C Robb; Benjamin Schuler; Hamid Soleimaninejad; Chun Tang; Reza Vafabakhsh; Don C Lamb; Claus Am Seidel; Shimon Weiss
Journal:  Elife       Date:  2021-03-29       Impact factor: 8.140

Review 2.  Single-Molecular Förster Resonance Energy Transfer Measurement on Structures and Interactions of Biomolecules.

Authors:  Yi Qiao; Yuhan Luo; Naiyun Long; Yi Xing; Jing Tu
Journal:  Micromachines (Basel)       Date:  2021-04-27       Impact factor: 2.891

3.  DeepFRET, a software for rapid and automated single-molecule FRET data classification using deep learning.

Authors:  Johannes Thomsen; Magnus Berg Sletfjerding; Simon Bo Jensen; Stefano Stella; Bijoya Paul; Mette Galsgaard Malle; Guillermo Montoya; Troels Christian Petersen; Nikos S Hatzakis
Journal:  Elife       Date:  2020-11-03       Impact factor: 8.140

4.  Studying protein folding in health and disease using biophysical approaches.

Authors:  Hong Zhang; Weibin Gong; Si Wu; Sarah Perrett
Journal:  Emerg Top Life Sci       Date:  2021-05-14

5.  Detecting molecular interactions in live-cell single-molecule imaging with proximity-assisted photoactivation (PAPA).

Authors:  Thomas G W Graham; John Joseph Ferrie; Gina M Dailey; Robert Tjian; Xavier Darzacq
Journal:  Elife       Date:  2022-08-17       Impact factor: 8.713

  5 in total

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