7PCA

Functional and structural characterization of redox sensitive superfolder green fluorescent protein and variants


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.05 Å
  • R-Value Free: 0.163 
  • R-Value Work: 0.149 
  • R-Value Observed: 0.150 

wwPDB Validation   3D Report Full Report


This is version 2.1 of the entry. See complete history


Literature

Structure and Function of Redox-Sensitive Superfolder Green Fluorescent Protein Variant.

Heimsch, K.C.Gertzen, C.G.W.Schuh, A.K.Nietzel, T.Rahlfs, S.Przyborski, J.M.Gohlke, H.Schwarzlander, M.Becker, K.Fritz-Wolf, K.

(2022) Antioxid Redox Signal 37: 1-18

  • DOI: https://doi.org/10.1089/ars.2021.0234
  • Primary Citation of Related Structures:  
    7PCA, 7PCZ, 7PD0

  • PubMed Abstract: 

    Aims: Genetically encoded green fluorescent protein (GFP)-based redox biosensors are widely used to monitor specific and dynamic redox processes in living cells. Over the last few years, various biosensors for a variety of applications were engineered and enhanced to match the organism and cellular environments, which should be investigated. In this context, the unicellular intraerythrocytic parasite Plasmodium , the causative agent of malaria, represents a challenge, as the small size of the organism results in weak fluorescence signals that complicate precise measurements, especially for cell compartment-specific observations. To address this, we have functionally and structurally characterized an enhanced redox biosensor superfolder roGFP2 (sfroGFP2). Results: SfroGFP2 retains roGFP2-like behavior, yet with improved fluorescence intensity (FI) in cellulo . SfroGFP2-based redox biosensors are pH insensitive in a physiological pH range and show midpoint potentials comparable with roGFP2-based redox biosensors. Using crystallography and rigidity theory, we identified the superfolding mutations as being responsible for improved structural stability of the biosensor in a redox-sensitive environment, thus explaining the improved FI in cellulo . Innovation: This work provides insight into the structure and function of GFP-based redox biosensors. It describes an improved redox biosensor (sfroGFP2) suitable for measuring oxidizing effects within small cells where applicability of other redox sensor variants is limited. Conclusion: Improved structural stability of sfroGFP2 gives rise to increased FI in cellulo . Fusion to hGrx1 (human glutaredoxin-1) provides the hitherto most suitable biosensor for measuring oxidizing effects in Plasmodium . This sensor is of major interest for studying glutathione redox changes in small cells, as well as subcellular compartments in general. Antioxid. Redox Signal. 37, 1-18.


  • Organizational Affiliation

    Biochemistry and Molecular Biology, Interdisciplinary Research Center, Justus Liebig University Giessen, Giessen, Germany.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Green fluorescent protein236Aequorea victoriaMutation(s): 17 
Gene Names: GFP
UniProt
Find proteins for P42212 (Aequorea victoria)
Explore P42212 
Go to UniProtKB:  P42212
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupP42212
Sequence Annotations
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  • Reference Sequence
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.05 Å
  • R-Value Free: 0.163 
  • R-Value Work: 0.149 
  • R-Value Observed: 0.150 
  • Space Group: P 21 21 21
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 36.87α = 90
b = 47.37β = 90
c = 117.74γ = 90
Software Package:
Software NamePurpose
PHENIXrefinement
XDSdata reduction
XSCALEdata scaling
PHENIXphasing

Structure Validation

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Entry History & Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
Hessian Ministry of Science, Higher Education and Art (HMWK)GermanyLoewe Druid E3

Revision History  (Full details and data files)

  • Version 1.0: 2022-02-16
    Type: Initial release
  • Version 1.1: 2022-07-20
    Changes: Database references
  • Version 2.0: 2023-11-15
    Changes: Atomic model, Data collection
  • Version 2.1: 2024-01-31
    Changes: Refinement description