Method Article

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

DOI:

10.3791/63406

March 1st, 2022

In This Article

Summary

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The goal of this protocol is to reveal structural dynamics of one-dimensional diffusion of protein along DNA, using a plant transcription factor WRKY domain protein as an exemplary system. To do this, both atomistic and coarse-grained molecular dynamics simulations along with extensive computational samplings have been implemented.

Abstract

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One-dimensional (1-D) sliding of transcription factor (TF) protein along DNA is essential for facilitated diffusion of the TF to locate target DNA site for genetic regulation. Detecting base-pair (bp) resolution of the TF sliding or stepping on the DNA is still experimentally challenging. We have recently performed all-atom molecular dynamics (MD) simulations capturing spontaneous 1-bp stepping of a small WRKY domain TF protein along DNA. Based on the 10 µs WRKY stepping path obtained from such simulations, the protocol here shows how to conduct more extensive conformational samplings of the TF-DNA systems, by constructing the Markov state model (MSM) for the 1-bp protein stepping, with various numbers of micro- and macro-states tested for the MSM construction. In order to examine processive 1-D diffusional search of the TF protein along DNA with structural basis, the protocol further shows how to conduct coarse-grained (CG) MD simulations to sample long-time scale dynamics of the system. Such CG modeling and simulations are particularly useful to reveal the protein-DNA electrostatic impacts on the processive diffusional motions of the TF protein above tens of microseconds, in comparison with sub-microseconds to microseconds protein stepping motions revealed from the all-atom simulations.

Introduction

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Transcription factors (TF) search for the target DNA to bind and regulate gene transcription and related activities1. Aside from the three-dimensional (3D) diffusion, the facilitated diffusion of TF has been suggested to be essential for target DNA search, in which the proteins can also slide or hop along one-dimensional (1D) DNA, or jump with intersegmental transfer on the DNA2,3,4,5,6,7.

In a recen....

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Protocol

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1. Construction of the Markov state model (MSM) from atomic MD simulations

  1. Spontaneous protein stepping pathway and initial structures collection
    1. Use a previously obtained 10-µs all-atom MD trajectory8 to extract 10000 frames evenly from a "forward" 1-bp stepping path (i.e., one frame for each nanosecond). The total number of frames needs to be sufficiently large to include all representative conformations.
    2. Prepare the transition path with 10000 frames in VMD by clicking File > Save coordinates, type protein or nucleic in selected atoms box and choose frames in Frames box, cli....

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Results

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Rotation-coupled sliding or 1 bp stepping of WRKY from the MSM construction
All protein conformations on the DNA are mapped to the longitudinal movement X and rotation angle of the protein COM along DNA (see Figure 3A). The linear coupling of these two degrees indicates rotation-coupled stepping of the WRKY domain protein on the DNA. The conformations can be further clustered into 3 macrostates (S1, S2, and S3) in the MSM. The forward stepping of WRKY then follows the ma.......

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Discussion

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This work addresses how to conduct structure-based computational simulation and samplings to reveal a transcription factor or TF protein moving along DNA, not only at atomic detail of stepping, but also in the processive diffusion, which is essential for the facilitated diffusion of TF in the DNA target search. To do that, the Markov state model or MSM of a small TF domain protein WRKY stepping for 1-bp along homogeneous poly-A DNA was first constructed, so that an ensemble of protein conformations on the DNA along with .......

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Disclosures

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The authors have no conflict of interests.

Acknowledgements

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This work has been supported by NSFC Grant #11775016 and #11635002. JY has been supported by the CMCF of UCI via NSF DMS 1763272 and the Simons Foundation grant #594598 and start-up fund from UCI. LTD has been supported by Natural Science Foundation of Shanghai #20ZR1425400 and #21JC1403100. We also acknowledge the computational support from the Beijing Computational Science Research Center (CSRC).

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
CafeMolKyoto Universitycoarse-grained (CG) simulations
GROMACSUniversity of Groningen Royal Institute of Technology Uppsala Universitymolecular dynamics simulations software
MatlabMathWorksNumerical calculation software
MSMbuilderStanford Universitybuild MSM
VMDUNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGNmolecular visualization program

References

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  1. Latchman, D. S. Transcription factors: an overview. The International Journal of Biochemistry & Cell Biology. 29 (12), 1305-1312 (1997).
  2. Berg, O. G., von Hippel, P. H. Selection of DNA binding....

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Tags

Transcription Factor DiffusionProtein DNA SlidingMarkov State ModelMolecular Dynamics SimulationCoarse Grained SimulationWRKY Domain ProteinOne Dimensional DiffusionProtein Stepping MotionHydrogen Bond DynamicsZinc Finger Region

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