Literature DB >> 31218813

Sub-Micromolar Pulse Dipolar EPR Spectroscopy Reveals Increasing CuII -labelling of Double-Histidine Motifs with Lower Temperature.

Joshua L Wort1, Katrin Ackermann1, Angeliki Giannoulis1, Alan J Stewart2, David G Norman3, Bela E Bode1.   

Abstract

Electron paramagnetic resonance (EPR) distance measurements are making increasingly important contributions to the studies of biomolecules by providing highly accurate geometric constraints. Combining double-histidine motifs with CuII spin labels can further increase the precision of distance measurements. It is also useful for proteins containing essential cysteines that can interfere with thiol-specific labelling. However, the non-covalent CuII coordination approach is vulnerable to low binding-affinity. Herein, dissociation constants (KD ) are investigated directly from the modulation depths of relaxation-induced dipolar modulation enhancement (RIDME) EPR experiments. This reveals low- to sub-μm CuII KD s under EPR distance measurement conditions at cryogenic temperatures. We show the feasibility of exploiting the double-histidine motif for EPR applications even at sub-μm protein concentrations in orthogonally labelled CuII -nitroxide systems using a commercial Q-band EPR instrument.
© 2019 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA.

Entities:  

Keywords:  EPR spectroscopy; RIDME; dissociation constant; double-histidine motif; non-covalent interactions

Year:  2019        PMID: 31218813      PMCID: PMC6771633          DOI: 10.1002/anie.201904848

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


With the increasing complexity and scope of the biomolecular structures being studied, pulse dipolar electron paramagnetic resonance (PDEPR) spectroscopy is an attractive technique that can complement crystallography, NMR spectroscopy, or cryo electron microscopy with nanometre distance constraints. Similar to Förster resonance energy transfer (FRET), PDEPR does not require crystallisation, is not size‐limited, and is performed in solution. It has been used to investigate the structure and dynamics of proteins and nucleic acids on a length scale of 1.5–16 nm1 including multi‐component systems,2 intermolecular domain interactions,3 contribute distance constraints for structural modelling,4 and mechanistic insights.5 Furthermore, PDEPR can be used to monitor complexation6 and so principally can couple structural information to binding equilibria.7 Commonly, pairs of paramagnetic moieties, such as nitroxide radicals, are site‐specifically conjugated with thiol side‐chains of cysteines introduced at strategic positions via site‐directed mutagenesis. Covalent attachment of the commercial methanethiosulfonate spin label (MTSL, Figure 1 a) to cysteines results in the modified amino acid R1 bearing a spin‐labelled side‐chain. A major strength of this methodology is the opportunity to measure distances between identical labels.
Figure 1

a) The structure of the modified cysteine residue R1 (top) and the CuII–NTA spin label, coordinated to the δ‐nitrogen atoms of the imidazole rings of a protein dH site (bottom). b) Double‐dH (I6H/N8H/K28H/Q32H GB1) construct in cartoon representation (PDB: 4WH4),14 with the CuII–NTA spin labels and coordinating dH sites in stick representation and CuII ions as blue spheres. c) Raw RIDME trace (black) and background fit (red) for the measurement of 75 μm double‐dH protein in the presence of 100 μm CuII–NTA spin label and d) distance distribution corresponding to the raw RIDME trace shown in (c).

a) The structure of the modified cysteine residue R1 (top) and the CuIINTA spin label, coordinated to the δ‐nitrogen atoms of the imidazole rings of a protein dH site (bottom). b) Double‐dH (I6H/N8H/K28H/Q32H GB1) construct in cartoon representation (PDB: 4WH4),14 with the CuIINTA spin labels and coordinating dH sites in stick representation and CuII ions as blue spheres. c) Raw RIDME trace (black) and background fit (red) for the measurement of 75 μm double‐dH protein in the presence of 100 μm CuIINTA spin label and d) distance distribution corresponding to the raw RIDME trace shown in (c). Nonetheless, spectroscopically orthogonal spin labels, such as transition metal ions,8 lanthanides,9 and triarylmethyl‐based spin labels,10 have gained increasing attention for use in conjunction with nitroxides. This is appealing because it can expand the accessible information content of a single multi‐labelled sample.11 Importantly, most labelling strategies rely on conjugation to cysteine thiols,12 which makes orthogonal site‐specific labelling problematic. To overcome this, genetically encoded labels can be used, though as non‐canonical amino‐acids,13 which can be more structurally perturbing than the post‐translational modification of natural amino‐acids, and can also restrict the yield of label incorporation. Recently, CuII‐labelling using genetically encoded double‐histidine (dH) motifs,14 introduced in α‐helices (at residue positions i and i+4), and β‐sheets (at residue positions i and i+2) have emerged as alternatives to nitroxides for pulse EPR applications.15 Significantly, the chemical orthogonality of histidine coordination to covalent cysteine modification brings systems previously unamenable to standard labelling (for example, those containing essential disulfide bridges) into reach. Furthermore, bipedal attachment and a reduced number of rotatable bonds between the paramagnetic centre and the protein backbone reduces the conformational flexibility of dH labels compared to R1, leading to dramatically improved precision in macromolecular distance measurements.15 This makes dH–CuII a powerful tool for the study of subtle conformational changes16 that may otherwise be hidden in the intrinsically broad inter‐label distributions observed with common spin labels. However, as CuII‐labelling of dH sites is non‐covalent, the binding equilibrium is described by a dissociation constant (K D). A poor dH affinity for CuII would lead to compromise on two fronts: i) either the efficiency of protein labelling would be consistently low, or ii) the excess of CuII‐label would be very large, leading to a signal dominated by free label. This would diminish the modulation depth (Δ) and make retrieval of the dipolar signal challenging as instrumental artefacts and background become more dominant. Another limitation is the reduced sensitivity of the routinely used pulse electron–electron double resonance (PELDOR)17 experiment when applied to paramagnetic metal ions due to their large spectral widths. In this work, the 5‐pulse relaxation‐induced dipolar modulation enhancement (RIDME) experiment18 is used to mitigate this sensitivity issue. By refocusing the dipolar interaction using a stochastic spin flip rather than a microwave pulse, the common pulse excitation bandwidth limitation of PDEPR is overcome, leading to significant sensitivity enhancement. In the case of RIDME measurements between nitroxides and metal ions, the detection of the nitroxide spin improves the signal while also allowing for the addition of excess CuII, thereby improving occupation of the dH site without significantly reducing sensitivity, as free CuII will not contribute to the EPR echo signal. However, the addition of large excesses of CuII will detriment sensitivity by shortening transverse relaxation and steepening the background. Ks have previously been estimated for CuII–iminodiacetic acid (IDA) and CuII–nitrilotriacetic acid (NTA) complexes binding to the protein dH sites used in this work.15 A group G Streptococcus protein G, domain B1 (GB1) tetrahistidine (double‐dH) construct I6H/N8H/K28H/Q32H15a is investigated by RIDME before the investigation of the individual dH sites through two dH/R1 constructs with dH sites in a β‐sheet (I6H/N8H/K28R1) and an α‐helix (I6R1/K28H/Q32H), respectively. Lastly, we infer a sub‐μm binding affinity from 5‐pulse RIDME experiments at sub‐μm protein concentrations. The 5‐pulse RIDME experiment (see the Supporting Information for details) on homo or hetero spin‐pairs relies on detected spins (A spins) accumulating a phase factor by longitudinal relaxation (with time constant T 1) of partner spins (B spins) during the mixing‐time interval T mix. When varying the position of T mix in the pulse sequence, the phase factor manifests as a modulation of the detected refocused electron spin echo by the dipolar coupling, ωΑΒ, which is proportional to the inter‐spin distance r AB −3.19 For a system consisting of two electron spins S= (such as CuII or nitroxide), the T mix‐ and T 1‐dependent modulation depth ( ) is given by:18b For a double‐dH construct, only proteins with both dH sites occupied will contribute to the experimental modulation depth ( ). With increasing CuII concentration will first increase while the dH sites are not saturated; therefore, most detected CuII will be dH‐bound and contribute to . However, once the dH sites saturate, all additional CuII will be free in solution and reduce towards 0 as the CuII concentration tends to infinity (see the Supporting Information). This is overcome in the orthogonally labelled case, where quantitatively bound nitroxide is detected. Here, reports the loading with CuII, and will tend asymptotically to the theoretical limit of 0.5, as CuII tends to infinite concentration, since the excess of CuII does not contribute to the signal. This means that as a function of CuII concentration is described by a quadratic binding equation: where [P] and [M] are the concentrations of total protein and metal complex, respectively. RIDME measurements were performed on the double‐dH GB1 construct (Figure 1 b) at 75 μm protein concentration in presence of 100 μm CuIINTA (Figure 1 a). The sensitivity is estimated to be a factor of approximately 100 superior to PELDOR (see below). However, estimating K D from CuII‐detected PDEPR has several pitfalls. Speciation of CuII ions into free and bound species leads to different transverse and longitudinal relaxation behaviour and EPR spectra for the different CuII species. This means the contributions to the signal will depend not only on the stoichiometric factors but also on the spectral position that is detected and the actual dipolar evolution time and experiment repetition rate. In this light, we refrained from quantifying K Ds from CuII‐detected PDEPR. Nevertheless, in favourable cases deviations between species can be negligible or are readily determined from independent experiments. In an approach to independently investigate the K D values of both dH sites via CuIInitroxide RIDME modulation depths, constructs I6R1/K28H/Q32H and I6H/N8H/K28R1 GB1 were designed (Figure 2 a and b, respectively), produced and characterised (see the Supporting Information). In analogy to previous studies, the binding strength can be estimated from PDEPR modulation depths by adding increasing amounts of titrant.6a For practical reasons pseudo‐titrations (as a titration with discrete samples prepared for each data point in the series) were performed. Initial predictions of concentration ranges consistently under‐estimated the CuII loading and this led us to incrementally decrease protein and spin label concentrations. Speculation that the change in cryoprotectant and buffer conditions used here (50 mm phosphate + 50 % ethylene glycol in contrast to 50 mm N‐ethyl morpholine + 20 % glycerol used previously)15 might cause the increased affinity were disproved (see the Supporting Information). Titrations at 25 and 75 μm protein concentrations led to K D estimates of below 3 μm for all four combinations of both spin labels (CuIIIDA and CuIINTA) with both constructs. The lowest estimate was below 500 nm for I6R1/K28H/Q32H and CuIINTA. It is important to note that at protein concentrations two orders of magnitude above the estimated K D, our approach does not allow a precise determination (see the Supporting Information). Thus, approximate CuII‐loading was inferred from RIDME traces measured for both constructs at 5 μm protein and spin‐label concentration, confirming significant loading at low μm concentration with again the highest loading for I6R1/K28H/Q32H and CuIINTA (see Supporting Information). Isothermal titration calorimetry (ITC) data predicted K D values in the range from 5 to 42 μm for all construct/CuII‐label permutations (see Supporting Information). This is in line with previous literature reporting low μm K D for dH–CuII.20 Importantly, the ITC analysis also yields a binding enthalpy that allows predicting the dissociation constant as a function of temperature according to van't Hoff. Here, binding is exothermic so at lower temperature tighter binding is expected. ΔH in kcal mol−1 are −9.68 (NTA6H8H), −7.54 (NTA‐28H32H), −3.37 (IDA6H8H), and −5.75 (IDA‐28H32H). Closer inspection reveals that extrapolating to 235 to 240 K, the RIDME‐determined K Ds agree remarkably well with the ITC data. As RIDME experiments are performed at 30 K, there will be no dissociation or association in the frozen sample, so the RIDME data will reflect the binding equilibrium when the dynamics of binding and releasing are frozen (see Supporting Information). These extrapolations, previous binding studies,6c and the ITC data all suggest that the binding equilibrates fast. Even when snap‐freezing a room temperature sample by immersion into liquid nitrogen, the equilibrium reflects a 50 to 60 K lower temperature.
Figure 2

Cartoon structural representations of GB1 constructs I6R1/K28H/Q32H (a) and I6H/N8H/K28R1 (b). The histidine residues that form the dH site and the R1 labels are shown as sticks; the CuII–NTA label is modelled with the CuII‐centre shown as a blue sphere. c) Background‐corrected 5‐pulse RIDME traces of 500 nm I6R1/K28H/Q32H GB1 measured as a pseudo‐titration with 100–8100 nm CuII–NTA. The experimental data are coloured according to the plot legend with the corresponding fits shown as dashed black lines. d) Experimental as a quotient of [calculated using Eq. (1)], extracted from the CuII–NTA pseudo‐titration series, (Figure 2 c), as a function of CuII–NTA concentration (red dots) with the fitted binding isotherm in blue.

Cartoon structural representations of GB1 constructs I6R1/K28H/Q32H (a) and I6H/N8H/K28R1 (b). The histidine residues that form the dH site and the R1 labels are shown as sticks; the CuIINTA label is modelled with the CuII‐centre shown as a blue sphere. c) Background‐corrected 5‐pulse RIDME traces of 500 nm I6R1/K28H/Q32H GB1 measured as a pseudo‐titration with 100–8100 nm CuIINTA. The experimental data are coloured according to the plot legend with the corresponding fits shown as dashed black lines. d) Experimental as a quotient of [calculated using Eq. (1)], extracted from the CuIINTA pseudo‐titration series, (Figure 2 c), as a function of CuIINTA concentration (red dots) with the fitted binding isotherm in blue. With the aim of unequivocally demonstrating the sub‐μm K D of I6R1/K28H/Q32H and CuIINTA in frozen samples and the feasibility of RIDME studies at these concentrations a pseudo‐titration was measured at 500 nm I6R1/K28H/Q32H, in the presence of 100 to 8100 nm CuIINTA spin label (Figure 2 c). Qualitatively, Δ increases with increasing CuIINTA, before plateauing towards 0.5, as is expected according to Equation (1). The fit of the experimental values to Equation (2) approximates a K D value of 150–300 nm (see the Supporting Information), which is consistent with the prediction at higher protein concentration. Interestingly, the observed values do not reach the asymptotic limit of 0.5; rather, values tend to approximately 0.45.6a Thus, we chose to scale and to employ bivariate fitting to Equation (2) for the binding isotherm (Figure 2 d). Scaled results are virtually identical to fixing the asymptotic value of Equation (1) to 0.45 (see the Supporting Information). In summary, it has been demonstrated that due to the exothermic nature of the binding process, the α‐helical i and i+4 dH site has a sub‐μm affinity for CuIINTA under cryogenic EPR conditions. This has important implications for the use of CuII‐chelators as spin labels, and particularly for their application to double‐dH constructs. The increased sensitivity afforded by both Q‐band RIDME in CuIInitroxide and CuIICuII systems compared with CuIICuII PELDOR experiments is truly promising; our sensitivity determination21 gives improvements by factors of approximately 150 and approximately 100, respectively (see the Supporting Information). Similarly, Ritsch et al. have shown that CuIInitroxide RIDME outperforms PELDOR by a significant margin, even in a state‐of‐the‐art ultra‐wide bandwidth spectrometer.22 Importantly, RIDME is also less prone to orientation selection than PELDOR, facilitating distance extraction.23 This sensitivity range opens up the possibility of routine distance measurements at greatly reduced protein concentration, making new systems accessible and potentiating new science.24 This work further demonstrates how RIDME can be used to measure binding equilibria, and subsequently determine K Ds remotely via the dipolar interaction under experimental EPR conditions. This strategy is important as it couples structural and thermodynamic information for protein–ligand interactions and could be applied to ligand‐gated systems. The approach is complementary to calorimetric methods, such as ITC, especially in the study of high‐affinity interactions, where other methods of structural investigation are often sensitivity‐limited. Used together, we anticipate that dH sites and the RIDME experiment can expand the PDEPR tool‐box to the study of protein systems previously beyond reach. In conclusion, dH affinity for CuII‐chelators is not limiting for PDEPR studies, and K D values can be directly estimated from 5‐pulse RIDME data and agree well with low‐temperature extrapolated ITC data. Furthermore, this study demonstrates that using spectroscopically orthogonal spin labels, such as CuIINTA and nitroxide, in combination with sub‐μm PDEPR experiments is feasible.

Conflict of interest

The authors declare no conflict of interest. As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re‐organized for online delivery, but are not copy‐edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors. Supplementary Click here for additional data file.
  48 in total

1.  Assessing dimerisation degree and cooperativity in a biomimetic small-molecule model by pulsed EPR.

Authors:  K Ackermann; A Giannoulis; D B Cordes; A M Z Slawin; B E Bode
Journal:  Chem Commun (Camb)       Date:  2015-03-28       Impact factor: 6.222

2.  Intermolecular background decay in RIDME experiments.

Authors:  Katharina Keller; Mian Qi; Christoph Gmeiner; Irina Ritsch; Adelheid Godt; Gunnar Jeschke; Anton Savitsky; Maxim Yulikov
Journal:  Phys Chem Chem Phys       Date:  2019-04-17       Impact factor: 3.676

3.  The Cu2+-nitrilotriacetic acid complex improves loading of α-helical double histidine site for precise distance measurements by pulsed ESR.

Authors:  Shreya Ghosh; Matthew J Lawless; Gordon S Rule; Sunil Saxena
Journal:  J Magn Reson       Date:  2017-12-07       Impact factor: 2.229

4.  Efficient localization of a native metal ion within a protein by Cu2+-based EPR distance measurements.

Authors:  Austin Gamble Jarvi; Timothy F Cunningham; Sunil Saxena
Journal:  Phys Chem Chem Phys       Date:  2019-05-22       Impact factor: 3.676

5.  Small Gd(III) Tags for Gd(III)-Gd(III) Distance Measurements in Proteins by EPR Spectroscopy.

Authors:  Georgia Prokopiou; Michael D Lee; Alberto Collauto; Elwy H Abdelkader; Thorsten Bahrenberg; Akiva Feintuch; Marie Ramirez-Cohen; Jessica Clayton; James D Swarbrick; Bim Graham; Gottfried Otting; Daniella Goldfarb
Journal:  Inorg Chem       Date:  2018-04-09       Impact factor: 5.165

6.  Di-copper(ii) DNA G-quadruplexes as EPR distance rulers.

Authors:  David M Engelhard; Andreas Meyer; Andreas Berndhäuser; Olav Schiemann; Guido H Clever
Journal:  Chem Commun (Camb)       Date:  2018-06-18       Impact factor: 6.222

7.  Selective Distance Measurements Using Triple Spin Labeling with Gd3+, Mn2+, and a Nitroxide.

Authors:  Zuyan Wu; Akiva Feintuch; Alberto Collauto; Luke A Adams; Luigi Aurelio; Bim Graham; Gottfried Otting; Daniella Goldfarb
Journal:  J Phys Chem Lett       Date:  2017-10-13       Impact factor: 6.475

8.  A method for distance determination in proteins using a designed metal ion binding site and site-directed spin labeling: evaluation with T4 lysozyme.

Authors:  J Voss; L Salwiński; H R Kaback; W L Hubbell
Journal:  Proc Natl Acad Sci U S A       Date:  1995-12-19       Impact factor: 11.205

Review 9.  New developments in spin labels for pulsed dipolar EPR.

Authors:  Alistair J Fielding; Maria Grazia Concilio; Graham Heaven; Michael A Hollas
Journal:  Molecules       Date:  2014-10-23       Impact factor: 4.411

10.  Sparse Labeling PELDOR Spectroscopy on Multimeric Mechanosensitive Membrane Channels.

Authors:  Katrin Ackermann; Christos Pliotas; Silvia Valera; James H Naismith; Bela E Bode
Journal:  Biophys J       Date:  2017-11-07       Impact factor: 4.033

View more
  14 in total

1.  Copper Based Site-directed Spin Labeling of Proteins for Use in Pulsed and Continuous Wave EPR Spectroscopy.

Authors:  Kevin Singewald; James A Wilkinson; And Sunil Saxena
Journal:  Bio Protoc       Date:  2021-12-20

2.  Beyond structure: Deciphering site-specific dynamics in proteins from double histidine-based EPR measurements.

Authors:  Kevin Singewald; James A Wilkinson; Zikri Hasanbasri; Sunil Saxena
Journal:  Protein Sci       Date:  2022-07       Impact factor: 6.993

3.  In-cell destabilization of a homodimeric protein complex detected by DEER spectroscopy.

Authors:  Yin Yang; Shen-Na Chen; Feng Yang; Xia-Yan Li; Akiva Feintuch; Xun-Cheng Su; Daniella Goldfarb
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-11       Impact factor: 11.205

4.  Conformational Flexibility of the Protein Insertase BamA in the Native Asymmetric Bilayer Elucidated by ESR Spectroscopy.

Authors:  Aathira Gopinath; Benesh Joseph
Journal:  Angew Chem Int Ed Engl       Date:  2021-12-02       Impact factor: 16.823

5.  Sub-Micromolar Pulse Dipolar EPR Spectroscopy Reveals Increasing CuII -labelling of Double-Histidine Motifs with Lower Temperature.

Authors:  Joshua L Wort; Katrin Ackermann; Angeliki Giannoulis; Alan J Stewart; David G Norman; Bela E Bode
Journal:  Angew Chem Int Ed Engl       Date:  2019-07-18       Impact factor: 15.336

6.  Measurement of Angstrom to Nanometer Molecular Distances with 19 F Nuclear Spins by EPR/ENDOR Spectroscopy.

Authors:  Andreas Meyer; Sebastian Dechert; Surjendu Dey; Claudia Höbartner; Marina Bennati
Journal:  Angew Chem Int Ed Engl       Date:  2019-11-13       Impact factor: 15.336

7.  Pulse Dipolar EPR Reveals Double-Histidine Motif CuII-NTA Spin-Labeling Robustness against Competitor Ions.

Authors:  Joshua L Wort; Swati Arya; Katrin Ackermann; Alan J Stewart; Bela E Bode
Journal:  J Phys Chem Lett       Date:  2021-03-13       Impact factor: 6.475

8.  DEER and RIDME Measurements of the Nitroxide-Spin Labelled Copper-Bound Amine Oxidase Homodimer from Arthrobacter Globiformis.

Authors:  Hannah Russell; Rachel Stewart; Christopher Prior; Vasily S Oganesyan; Thembaninkosi G Gaule; Janet E Lovett
Journal:  Appl Magn Reson       Date:  2021-03-29       Impact factor: 0.831

9.  A Two-Armed Probe for In-Cell DEER Measurements on Proteins*.

Authors:  Qing Miao; Enrico Zurlo; Donny de Bruin; Joeri A J Wondergem; Monika Timmer; Anneloes Blok; Doris Heinrich; Mark Overhand; Martina Huber; Marcellus Ubbink
Journal:  Chemistry       Date:  2020-11-17       Impact factor: 5.236

10.  A Comparison of Cysteine-Conjugated Nitroxide Spin Labels for Pulse Dipolar EPR Spectroscopy.

Authors:  Katrin Ackermann; Alexandra Chapman; Bela E Bode
Journal:  Molecules       Date:  2021-12-13       Impact factor: 4.411

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.