The use of deuteration for the structural study of larger proteins
Transcription
The use of deuteration for the structural study of larger proteins
The use of deuteration for the structural study of larger proteins EMBO course 2005 Daniel Nietlispach 1. Larger proteins: What are the problems ? • nuclei relax faster due to slower tumbling: linewidth: Δυ = 1 πT2 τc [ns] ~ 0.4 MW [kDa] τc : 4 ns MW : 8 kDa € 8 ns 16 kDa relaxation time T2 • broader lines • lower sensitivity of NMR experiments correlation time τc 12 ns 24 kDa 25 ns 50 kDa • number of signals increase with higher MW: • increased signal overlap 2D NOESY 8 kDa (Tendamistat) • increasing amounts of protein in NMR sample lead to solubility issues: • may have to reduce concentrations: probably ok if oligomeric protein, but difficulties if monomeric proteins 21 kDa (Cdc42) Improvements that facilitate larger MW studies • isotope labeling: • deuteration • selective protonation reduction of proton density: slow down relaxation simplify spectra all protons • pulse sequences: • better sensitivity relaxation compensation TROSY • new approaches • new types of restraints: • RDC • cross-correlation • chemical shift calculations remove 1H(C): HN, NH2 • hardware development: • higher magnetic fields • cryoprobes only 1H from Ile, Leu, Val 13 1 relative transfer efficiency HN (ppm) sidechain deuterated sample 1.0 coherence transfer Data 1 1 0.6 active 0.6 0.4 Relative transfer efficiency for HNCA on a protonated sample as correlation time increases. 0.4 0.2 0.2 0 0 0 5 10-9 1 10-8 1.5 10-8 2 10-8 5 10 15 20 25 correlation time τc [ns] relaxation Sensitivity α Π nsin(πJΔ) Π mcos(πJΔ) exp(-R2 ΣΔ) } HNCA (protonated sample) 0.8 increased resolution 1 HN (ppm) protonated sample F 0.8 better sensitivity 13 Cα (ppm) Cα (ppm) Effect of deuteration on sensitivity of 3D experiments 2.5 10-8 30 3 10-8 passive Relaxation is mediated by molecular motion shielding anisotropy • Spins are sensitive to the presence of near-by magnetic fields e.g dipole-dipole interactions with other spins or anisotropic chemical shielding due to non-spherical distributions of electrons around the nucleus. dipoledipole interaction molecular reorientation • If these external magnetic fields fluctuate randomly over time and the changes occur in the appropriate range of frequencies, (α β transitions) this leads to nuclear relaxation. • The required fluctuations of the local magnetic fields can be caused by e.g. brownian motion (overall rotational tumbling of a molecule) or due to e.g. internal mobility within a molecule. slow tumbling intermediate tumbling very fast tumbling J(ω) • The process of relaxation is more efficient the more motional contribution is at the appropriate frequency. A measure of how much power is available at a particular frequency is given by the spectral density function J(ω). 0 • T1, T2 and {H,N}-NOE are sensitive to different frequencies and this can reveal information about the time scales of overall tumbling and internal motion and about the amplitude of the internal motion (dynamics) without the need to know the type of internal dynamics present. T2 ω: ~ 0 107 108 frequency [Hz] T1 ωN 1012 NOE ωH–ωN 2. Relaxation in solution Main mechanisms contributing to relaxation in solution are: S B0 Θ • dipole-dipole interaction • chemical shift-anisotropy R1,2DD( XY ) ~ (K/r6) S(S + 1) (γxγy )2 ∑J(ωi) ~ r-3 I i dipole dipole interaction € S = 1/2 for 1H S = 1 for 2H (D) γH = 6.5 . γD € DD( HX ) / DD( DX ) = 16 x Transverse relaxation times as a function of molecular tumbling (600 MHz). Relaxation contributions of DD and CSA interactions are considered. 2.1 Impact of deuteration on relaxation contributions Dipolar relaxation Removable contributions to transverse relaxation (protein tumbling with τc ~ 12ns) internal DD contributions H H H X X = 13C,15N external DD contributions H Deuteration allows to remove internal and external contributions to dipole-dipole relaxation. • Perdeuteration what is it: • removal of all sidechain protons H → D ( > 95%) deuteration level is as high as possible • identical labeling pattern for all molecules • remaining protons: HN sidechain H(N) of Asn, Gln, Arg labile –OH γ C C β H C benefits: • strong reduction of external relaxation contributions • removal of internal contributions for 13CHn. • increase in T2 and T1 of 13CHn and 1HN • removal of J(H,H) → sharper lines α N N C H O =D 16 € 14 T1(CD) / T1(CH) 12 J(0) dominates ratio 10 coherence transfer J(ωC – ωD) 8 n sensitivity T1(CD) / T1(CH) 6 2 5 10 15 rotational correlation time [ns] ∏ sin(π JΔ)∏ cos(π JΔ)exp(–R j ∑ Δ i ) m 4 0 relaxation 20 n i =1 • Random fractional deuteration what is it: • statistical removal of sidechain protons to a certain percentage in a random fashion. H → D (0 - 80%) • mixture of different isotopomers (varying local environment) benefits: • increase in T2 and T1 of HN and to lesser extent Hα (and also sidechain H’s) C CβH2–CαH increasing level of fractional deuteration CβHD–CαH γ CβH2–CαD C CβHD–CαD β C CβD2–CαH H CβD2–CαD 0 α N C N C H O = 1H or D 5 10 15 20 25 30 isotopomer population correlation time tc = 18 ns. DD and CSA are taken into account. (600 MHz). Relaxation rates with increasing levels of random statistical sidechain deuteration. Increasing deuteration level removes external relaxation contributions. 3. Experimental considerations • 2H decoupling during 13C transverse periods • remove scalar coupling • reduce effects from scalar relaxation 2nd kind and dynamic frequency shifts due to quadrupolar relaxation of deuterium • Editing methods for incomplete deuteration • selection for C-D or e.g. CH2D τd = 1/4JCH 1 suppress all CH isotopomers H τd TC–τd TC 13 C y 2 WALTZ-16x H 1/2JCH 1 H 13 C –y φ = x , –x rec. = x , –x suppress CHD1,2 and CH3 isotopomers CT-HN(CO)CA 2D 1HN/13Cα planes with CT=28 ms. above: with 2H decoupling; below: no decoupling 4. Approaches to structure determination of larger proteins tentative classification of available labeling strategies for different protein sizes: of course this will vary from protein to protein and depend on the NMR techniques used, e.g. conventional vs. TROSY etc. • τC < 12 ns ( ~20 kDa protein at 298K): 13 • τC < 18 ns ( ~35 kDa protein at RT): fractional deuteration with 13C, 15N • τC > 18 ns ( > 35 kDa protein): perdeuteration (> 95%) with 13C, 15N selective protonation and background deuteration with 13C, 15N selective protonation/reverse labeling (12C); background deuteration 13C, 15N • Backbone assignment • Sidechain assignment • NOE distance information • Dipolar coupling information C, 15N labeling should be enough 4.1 Backbone assignment strategies • Perdeuteration • Maximizes sensitivity thanks to very high level of background deuteration (the higher the more sensitive) • Strong reduction of R2(Cα) and R2(HN): → increased sensitivity, sharper lines • Up to 45 kDa, constant time 13C-evolution periods (CT=1/JCaCb): → high resolution • HN back exchange required: sometimes difficult, unfold/refold protocol: → will loose some HN • R1(HN) are reduced: → slower pulse repetition • Out-and-back triple-resonance experiments: in pairs: 3D HNCA/ HN(CO)CA 3D HN(CA)CB/ HN(COCA)CB e.g. HN → N → CO → CA → CB (t1) → CA → CO → N → HN 3D HN(CA)CO/ HNCO 3D intra-HN(CA)CO/ HNCO 3D intra-HNCA/ DQ-HNCA further: 4D HN(COCA)NH 3D HN(CACB)CG • Increased resolution using 4D approach: HNCOCA/ HNCACO (e.g. MSG 723 AA) • Combine experiments with H/N TROSY transfer/detection scheme. For > 50 kDa probably rather 4D than 3D Example: backbone assignment strategy for MSG Malate synthase G from E. coli (MSG): 723 Amino acids, 81 kDa, correlation time 37 ns @ 37˚ C • 4D TROSY HNCOCA, HNCACO and HNCOi–1CAi (to help resolve ambiguities) shift matching via 13CO and 13Cα • 4D HN,HN NOESY start with Ala-HNCACB to get starting points • start with Ala-selective 2D HN( CACB) to find starting points (Alai and some Alai–1) Ala ~ 10% of residues in MSG • β-sheets and loops: sequential HN–HN NOE cannot be detected. In cases of chemical shift degeneracy, use 13Cβ shifts from 3D TROSY experiments • Correct 13C shifts for deuterium isotope shifts before predicting 2nd structure e.g using CSI Tugarinov, V.; Muhandiram, R.; Ayed, A.; Kay, L. E. J. Am. Chem. Soc. 2002, 124, 10025-10035. Tugarinov, V.; Kay, L. E. J. Mol. Biol. 2003, 327, 1121-1133. Tugarinov, V.; Kay, L. E. J. Am. Chem. Soc. 2003, 125, 13868-13878. Example: Backbone resonance assignment of a 502 residue protein (56 kDa) 3D CT-13C H/C/N experiments Perdeuteration ( > 98%) • 3D TROSY CT-13C experiments TROSY-CT-HNCA 11H-15 15N TROSY-HSQC Department of Biochemistry Away Day 2003 Example: Sequential assignment using 3D intra-HNCA and DQ-HNCA H O N H C C C O N C C C C C O intra-HNCA D154 F156 A155 Y157 DQHNCA intraHNCA DQHNCA intraHNCA DQHNCA intraHNCA DQHNCA intraHNCA 116.8 116.8 124.3 124.3 112.8 112.8 119.7 119.7 54 13Cα(i-1)+13Cα(i) Ω(15N) [ppm] 56 intra-HNCA + DQ-HNCA 58 60 K104 62 increased resolution and sensitivity 64 8.14 8.14 8.50 D154 HN(CO)CA 52 116.8 8.50 7.13 1H(F3) [ppm] A155 HNCA 116.8 HN(CO)CA 124.3 7.13 9.55 F156 HNCA HN(CO)CA 112.8 124.3 9.55 HNCA 112.8 HN(CO)CA 119.7 HNCA 119.7 Ω(15N) [ppm] i-1 58 ? 62 13Cα(i) intra-HNCA HNCA + HN(CO)CA 56 60 DQ-HNCA Cross peak is shifted “on-the-fly” to its correct position. Y157 ? 54 Assignment setup for intra- HNCA / DQ-HNCA O DQ-HNCA 52 Ras (1-171).GDP @ 4˚ C ~ 75 kDa . 800 MHz K104 13Cα(i-1) 64 8.14 8.14 8.50 7.13 8.50 1H(F3) [ppm] 7.13 9.55 9.55 Nietlispach et al., J. Am. Chem. Soc. 2002, 124, 11199. 13Cα(i) Transfer efficiency for some triple-resonance TROSY experiments • fast 13CO relaxation with increasing τc and at high magnetic fields • better sensitivity for experiments that achieve inter-residue correlation without transffer via 13CO Field dependence of transfer efficiency Transfer efficiency at 800 MHz intra-HNCA TROSY NxCα(i)zCα(i-1)zC′z 8NzCα(i)zCα(i-1)zC′’(i-1)y → 4NzCα(i)zC′’(i-1)x selective refocusing of intra contribution DQ-HNCA TROSY DQ–Cαx(i)Cαx(i-1) Peak intensity comparison for residues 4-120 of H-Ras(1-171) at 4˚C (τc ~ 28ns): intra-HNCA, DQ-HNCA, HN(CO)CA, sequential-HNCA and conventional HNCA. For large proteins and at high magnetic fields DQHNCA becomes more sensitive than the HN(CO)CA. J. Am. Chem. Soc. 2002, 124, 11199. intra- and inter-residue connectivity using Cα shift information HNCA HN(CO)CA intra-HNCA interresidue correlation intraresidue correlation W31/ A32 F47/ L48 F178/ E179 S76/ N5/ Y77 R6 G152/ Q153 A89/ N219/ C90 E220 15N: 123ppm N114/ Q136/ F115 F137 15N: 123ppm 15N: 123ppm Example: 3D intra-HNCACB reduced overlap for Cβ resonances HN(CA)CB E173 N174 HN(COCA)CB intra-HN(CA)CB Example: Sequential assignment using 3D intra-HN(CA)CO and HNCO H O J (CO,Cα) α C C J (N,Cα) α N C N C J (N,Cα) J (N,CO) intra-HN(CA)CO J (CO,Cα) H O HNCACO intra + inter assignment based on matching 13CO shifts • reduced overlap in intra-HN(CA)CO • MQ-HN(CA)CO increases signal intensity for Ser, Thr, Gly HNCO inter HN(CA)CO 2D 1HN/13CO projections of the selective intra(red) and the conventional 3D TROSYHNCACO (blue) experiments recorded on a 80 kDa protein sequential sequential Nietlispach, J. Biomol. NMR 2004, 28, 131-136 • Random fractional deuteration • Sidechain HC resonances can be observed • Reduction of R2(Cα,β,γ...) and R2(HN); smaller reduction for R2(Hα) • Statistical reduction of 1H population → Hside, Cside assignment → improved sensitivity • Sensitivity improvement is smaller than with perdeuteration • One sample for backbone, sidechain and NOE • Useful up to ~35 kDa (τc ~ 18ns) • Much less problems with HN back exchange • Mixture of various H/D isotopomers: → 13C isotope shift effects • limits available resolution in 3D experiments → instead use 4D experiments. Keep lower resolution in each dimension • Out-to-stay triple-resonance experiments: HC → → → HN • 4D HBCB/HACANH and HBCB/HACA(CO)NH • Out-and-back triple-resonance experiments e.g HNCA work too: • requires suppression of CH isotopomer • sensitivity reduction by a statistical factor ~ % H2O level in growth condition 50 – 60% random fractional deuteration gives increased sensitivity HBCB/HACA(CO)NH HBCB/HACANH HBCB/HACA(CO)NH 0% 50% 75% 2D 1H/13C projection plane of the 4D HBCB(CACO)NH for the deuteration levels 0%, 50% and 75%. –CβD2–CαD– –CβD2–CαH– –CβΗD–CαD– –CβH2–CαD– –CβΗD–CαH– –CβH2–CαH– Magnetization transfer pathway and relative transfer efficiencies for out-to-stay experiments as a function of the fractional deuteration level. The best sensitivity is obtained at 50 – 60% (depending on the correlation time). Nietlispach et al. J. Am. Chem. Soc. 1996, 118, 407-415. 0 10 20 30 40 50 60 70 Signal contribution of different isotopomers in % 4.2 Sidechain assignment • Perdeuteration • Assignment of 13C resonances using 3D C(CCO)NH: → increase in T1(13C(D)), γH = 0.25 . γH ; still, it’s quite sensitive ! • Low proton density: → Assign sidechain HN of Gln, Asn, Arg to increase number of protons • Correction for 13C isotope shifts for e.g.: • 2nd structure prediction • to match 13C with protonated samples e.g. for HCCH-TOCSY Farmer and Venters J. Am. Chem. Soc. 1995, 117, 4187-4188. Secondary deuterium isotope shifts Isotope shifts are additive with major contributions from 1-bond to ca. 3-bond: 13 C: 1 Δ 2 Δ 3 Δ 1 H 2H –0.29 ± 0.05 ppm 1 H 2H –0.13 ± 0.02 ppm 1 H 2H –0.07 ± 0.02 ppm 15 N: 1 Δ 2 Δ 1 H 2H –0.3 ppm 1 H 2H –0.05 to 0.1 ppm Weak dependence on secondary structure: 13Cα : –0.5 ± 0.08 α-helical; -0.44 ± 0.08 β-strands No significant shifts for 1HN and 13CO (Δ values are based on HCA II (Venters, R. A.; Farmer, B. T.; Fierke, C. A.; Spicer, L. D. J. Mol. Biol. 1996, 264, 1101-1116.)) • Random fractional deuteration • Assignment of H/C using 50–60% D sample: 4D HC(CCO)NH → same sample as for backbone assignment • HCCH TOCSY: • lower sensitivity due to less protons; sharper lines • longrange correlations benefit and are more sensitive correlation time τc = 18 ns 2D 1H/13C projection of the 4D HC(CCO)NH for different levels of sidechain deuteration. Best sensitivity is achieved around 50%. 4.3 NOE distance information • Perdeuteration • HN–HN NOE: 4D HNNH NOESY (HMQC, HSQC, TROSY etc.) (Grzesiek et al. J. Am. Chem. Soc. 1995, 117, 9594-9595; Farmer et al. J. Biomol. NMR. 1996, 7, 59-71.) • typically up to 5Å but further possible (slower spin diffusion and longer selective T1 (diagonal signal) • very long mixing times ( < 1.2 s) → up to 8Å inter-proton distances. (Mal et al., J. Biomol. NMR 1998, 12, 259-276) • Not enough restraints to calculate accurate global folds (RMSD > 8Å). Particularly poor if large content of α-helices. • Additional NOE restraints are required: • sidechain HN: R, N, Q, W are often in interior of protein. However, many are solvent exposed, exchanging rapidly. • sidechain HC: selective protonation approaches HN/NH2 H-Ras all protons • Fractional deuteration • 15N separated NOESY benefit from 50% deuteration. • 13C separated NOESY loose in sensitivity • deuteration level of 50–60% → one sample for backbone and sidechain assignment • 50–60% D is also a reasonable compromise to get NOE information • various isotopomers contribute similarly to diffferent experiments → less problems with isotope shifts • clearly not good enough for proteins > 35 kDa → instead: perdeuteration, selective protonation 1 Hali/1HN planes from a 3D NOESY 15N HSQC recorded at 0% and 50% fractional deuteration showing the often more intense and better resolved peaks of the deuterated sample. NOE peak intensities as a function of deuteration level. Relaxation and population effects are taken into account. 5. Selective protonation approaches • additional NOE distance information • selective 1H labeling of individual amino acid types or site-specific protonation: • entire A.A.: Smith et al. J. Biomol. NMR 1996, 8, 360-368. Metzler et al. J. Am. Chem. Soc. 1996, 118, 6800-6801. • methyl groups: Gardner et al. J. Am. Chem. Soc. 1997, 119, 7599-7600 • highly deuterated background • 13C or 12C labeling at protonated positions (reverse labeling) (Vuister et al. J. Am. Chem. Soc. 1994, 116, 9206) e.g. attractive for aromatic residues Advantages of selective protonation • protonation sites are part of the protein core • scheme adaptable for the system under study • varying number of residues can be labeled • labeling techniques unproblematic (add precursors: amino acids or α-ketoacids) • aromatic residues give many structurally important NOEs Residue-selective protonation: more NOEs but faster relaxation. Methyl protonation is most sensitive. • Residue-selective protonation • protonated Ile, Leu. Val, (Ala) • backbone assignment as for perdeuterated sample • HC(CCO)NH for protonated residue assignment • 13C NOESY, CT-13C-NOESY • sensitivity suffers from intra-residue interactions • Phe, Tyr, Trp aromatic ring-selective protonation • aromatic residues: provide additional information for global fold Rajesh et al. J. Biomol. NMR 2003, 27, 81-86. determination e.g. for α-helical proteins • Cβ and Cα positions are deuterated → assignment HNCA/CB •12C in aromatic positions (slow relaxation) 1H amide-rejected 1D spectrum showing the selective aromatic ring sidechain protonation that can be achieved through the use of shikimic acid in the growth medium. Aromatic region of YUH1 from amide-rejected homonuclear 2D 1H-TOCSY together with strips from 3D 15 N-separated NOESYHSQC with NOEs between amide protons and aromatic protons. • Methyl protonation • protonated methyl groups of Ile (δ1 only), Leu, Val with highly deuterated background • well resolved O • sharp lines H15N 13CD • interior of protein 13C O O 13CD 13CH 3 • V,L most common A.A. at molecular interfaces 13CH 3 H15N 13CD 13CD 2 13CD 13CH 3 13CH 3 • uniform 13C labeling • backbone: assignment as for perdeuterated sample (out-and-back) • sidechain: assignment of methyl groups → connect to backbone 13C O O H15N 13CD 13C 13CD CD3 13CD 2 13CH 3 • 3D methyl–(H)C(CCO)NH and methyl–H(CCO)NH (Gardner, K. H.; Konrat, R.; Rosen, M. K.; Kay, L. E. J. Biomol. NMR 1996, 8, 351-356.) • NOE: too low resolution in methyl-region of conventional 13C NOESY • Val, Ile selective NOESY → 3D (HM)CMCB(CMHM) NOESY (Zwahlen et al. J. Am. Chem. Soc. 1998, 120, 4825-4831) • methyl-selective 13C,13C NOESY (Zwahlen et al. J. Am. Chem. Soc. 1998, 120, 7617-7625) • methyl-selective HQQF NOESY (Nietlispach, 1998) O Example: Improved resolution in 3D NOESY using CT-13C methyl selective experiment 1 H [ppm] 13 C [ppm] HSQC HQQF 1H [ppm] left: Resolution enhancement obtained in the methyl selective HQQF experiment compared with the 13C HSQC. right: Sensitivity improvement obtained with HQQC compared with other methyl selective experiments. 1 H (CH3) [ppm] left: Pulse sequence of the heteronuclear quadruple quantum filtered CT-13C HQQF experiment. (CT-period = 6Δ = 24 ms). above: Strip plots (F2 = methyl 13C) from a 3D NOESY 13C HQQF recorded on 50% fractionally deuterated Cdc42.GPPNHP. Proton density comparison for different protonation levels p21 H-Ras (21 kDa) Ile, Val, Leu methyl groups HN/NH2 HN, methyl, aromatic aromatic F, W, Y all protons Example: Long range NOEs in ILV (methyl)-FYW (aromatic)-1H YUH1 13 C-13C strips from 3D 13C-separated (t1,t2) NOESY I202C δ1 I36C δ1 1 I55C δ1 H-1H Strips from 3D 15N- or 13C-separated (t2) NOESY showing aromatic-HN, HN-HN, methyl-HN, aromatic-methyl and methyl-methyl NOEs. L231 H N L231 HN L231 Hδ1# Y33 Hε# I202C δ1 I36Cδ1 L231 H δ1# Y33 Hδ# I55Cδ1 C NOESY N- NOESY 13 A32 HN V202 Hγ2# V52 Hγ1# C-NOESY L48C δ2 G230 HN I55 Hδ1 V52 Hγ2# 13 L39C δ1 G232 HN L231 Hδ2# N-NOESY L45C δ2 L48C δ1 V52Cγ1 L231 Hδ1# 15 V52Cγ1 Aromatic 1H-methyl NOESY V52C γ2 15 V207C γ1 Aromatic 1H- H N NOESY W81 Hη2 Example: Global fold of YUH1 calculated from unambiguous NOEs measured on ILV/FYW- protonated sample NOEs CH3–CH3 intra total 149 268 aro–CH3 30 H2N–HN and HN–HN intra 181 sequential 672 total 1616 Coordinate RMSD (Å) at initial stage: backbone heavy atoms (all residues): all heavy atoms (all residues): backbone heavy atoms (β-sheet region): all heavy atoms (β -sheet region): *without aromatic distance restraints. 2.64 (3.20*) 3.28 (3.86*) 1.10 (1.64*) 1.84 (2.48*) Ito et al. 2002 Example: CH3–selective protonation for global fold determination of MBP Mueller, G. A.; Choy, W. Y.; Yang, D. W.; Forman-Kay, J. D.; Venters, R. A.; Kay, L. E. J. Mol. Biol. 2000, 300, 197-212. • methyl protonated Ile (δ1), Leu, Val Global fold of MBP in complex with β-cyclodextrin (370 residues, 42 kDa) NOE: H-bonds: dihedral: HN–HN HN–CH3 CH3–CH3 826 769 348 48 555 5.5Å RMSD N domain C domain measure 5 dipolar couplings to orient peptide plane 2.2Å RMSD Sidechain assignment in very large proteins Malate synthase G from E. coli (MSG): 723 Amino acids, 81 kDa, correlation time 37 ns @ 37˚ C Tugarinov, V.; Kay, L. E. J. Am. Chem. Soc. 2003, 125, 13868-13878. previously: methyl protonated Ile (δ1), Leu, Val with 2H background and uniform 13C TOCSY: HM(CCO)NH and (HM)CM(CCO)NH and [H,N]-TROSY implementations of it beyond 60 kDa sensitivity become too low: due to branching at Cβ (Val), Cγ (Leu): makes TOCSY problematic Cme CM Cb/Cg Ca Approach 1: COSY type correlation Methyl → HN Ile: 3D (HM)CM(CGCBCA)NH problematic for Leu, Val due to similar pro-R,S CH3 shifts Leu, Val: reverse label one methyl group to 12CD3 = linearize CC-spin system Leu: 3D (HM)CM(CGCBCA)NH Val: 3D (HM)CM(CBCA)NH HN Approach 2: Methyl-detected out-and-back experiments • higher sensitivity than approach 1: 5 – 10 x • benefits from methyl reverse labeling to 12CD3 for Val, Leu • 3D experiments: Cme/Cali/Hme and Cme/CO/Hme • 3D HMCM[CG]CBCA • 3D HMCM([CG]CBCA)CO • sequence specific CH3 assignments by matching 13 Ca, 13Cb, 13CO with backbone experiments Tugarinov, V.; Kay, L. E. J. Am. Chem. Soc. 2003, 125, 13868-13878. High-resolution 13C CT-HMQC of methyl region (CT=28ms) Effect of external relaxation sources on 13C HMQC usage of linearized spin systems in MSG Reduced concentration of methyl protons leads to higher resolution and sensitivity Tugarinov, V.; Kay, L. E. J. Am. Chem. Soc. 2003, 125, 13868-13878. Methyl-TROSY Tugarinov V. et al. J. Am. Chem. Soc. 2003, 125, 10420-10428. Tugarinov V. et al. J. Biomol. NMR 2004, 28, 165-172. 13 1 C: 8 transitions of which 50% relax slowly H: 10 transitions of which 50% relax slowly TROSY: keep fast and slow relaxing components separate HMQC transfers 50% slow → slow HSQC transfers 19% slow → slow Cancellation of HH and CH dipolar interactions → field independent for ωcτm >> 1 Remove external HH dipolar interactions that degrade performance: • Ile(δ1)-13CH3 rest: 2H and 13C for assignment rest: 2H and 12C for NOE (strong external HH between pro-R,S CH3 in Leu, Val: • Leu, Val mono-methyl 13CH3,12CD3 rest: 2H and 13C for assignment rest: 2H and 12C for NOE ZQ-line narrowing in Methyl-TROSY: reduces intra- and inter-methyl dipolar interactions Tugarinov et al. J. Am. Chem. Soc. 2004, 126, 4921-4925. HMQC > HSQC τc ~ 118 ns Global fold determination of the 82 kDa MSG (723 residues) Methyl protonation approach. MSG: 22% I, L, V residues Global fold based uniquely on NMR data. • Assignment: backbone and CH3: U-[15N,13C,2H], Ileδ1-[13CH3], Leu,Val-[13CH3,12CD3] Tugarinov et al., PNAS 2005, 102, 622-627 • NOE: 3D [H,N]-& methyl-TROSY, 4D CH3-CH3 HN–HN: CH3–CH3: HN–CH3: U-[15N,2H] in H2O U-[15N,2H], Ileδ1-[13CH3], Leu,Val-[13CH3,12CD3] in D2O U-[15N,2H], Ileδ1-[13CH3], Leu,Val-[13CH3,12CD3] in H2O long-range contacts HN–HN: 99 CH3–CH3: 386 HN–CH3: 142 total longr.: 627 all NOEs: 1531 only few as high α-helical content shows strength of CH3 labeling almost 1 per residue φ,ψ values from chemical shift (TALOS): 1066 rmsd: 5.6 Å rmsd 5.6 Å α-helices ok: i → i±1, i → i±3 β-sheet: show shorter than in X-ray. Due to 2H no Hα contacts between proximal strands! ↑↑: HN(i) ⇔ HN(j) >4.0Å; ↓↑: HN(i) ⇔ HN(j) >3.3Å Best rmsd 4.1Å • Inclusion of orientational restraints: RDC (1H-15N): 415 13 changes in CO shifts: 300 rmsd 4.1 Å Conformational space of 2nd structure elements is reduced. A few couplings per residue are enough to achieve correct alignment. NOE data provides translational information. 6. Practical aspects of producing deuterated proteins Freshly transformed E.coli (e.g. BL21 (DE3)), minimal medium D2O: growth rate ↓ , biomass ↓ , protein ↓ Approaches: 1) Quantity of protein more important than deuteration level: max. 75-80% 2H incorporation A) Plate onto solid H2O-based minimal or rich medium. Increase level of D2O on plates for gradual adaptation. B) Growth in solution: Small scale prep. Minimal medium. Adapt bacteria to grow in deuterated medium by culturing in increasingly higher levels of D2O. OD600 < 0.6 → spin, remove cultures. Resuspend in fresh medium (A600 <0.1, log-phase) =cell resuspension approach. 1H-glucose. Fractional deuteration: “Per”deuteration: no adaptation, 1H-glucose, ~ % D2O 75-80% 2H using approach B). 2) High deuteration levels: Perdeuteration of sidechains (>85%) D2O, absolutely no H2O. Adaptation procedure for cells (e.g. 10, 25, 60, 90%), 2H-glucose. Many cells survive and express protein when transferred from H2O → D2O without adaptation. 2 H-glucose (more reliable for protein expression), 2H-acetate, 2H-glycerol, 2H-succinate, 2H-pyruvate. D → H back exchange incomplete (particularly 2nd structure) → unfold/refold protocol. 3) Site-specific protonation, highly deuterated background Residue protonation: 13C, 2H background minimal medium, D2O, 2H-glucose(13C), 15NH4Cl + protonated amino acids or precursors (> 50mg/l) but: D2O will replace 30-80% of Hα. or: auxotrophic strains + e.g.shikimate → F,Y,W ring protonation with α,β-2H Methyl protonation, 13C, 2H background minimal medium, D2O, 2H-glucose(13C), 15NH4Cl [2,3-2H] 15N,13C 2-Ketoisovalerate (> 80mg/l) → Leu, Val CH3 [3,3-2H] 15N, 13C 2-Ketobutyrate (> 50mg/l) → Ile CH3(δ1 only) mono-Methyl protonation for “linearized” spin system approach: 13C,2H background as above but use: (13CH3)(12CD3)–[2,3-2H] 15N,13C 2-Ketoisovalerate 2 H-glucose(13C) for CH3-TROSY mono-Methyl protonation for isolated 13CH3 spin system: 12C,2H background as above but use: mono-methyl 13CH3–2-Ketoisovalerate mono-methyl 13CH3–2-Ketobutyrate 2 H-glucose (12C) Further reading: K. H. Gardner, L. E. Kay, Annu. Rev. Biophys. Biomol. Struct. 1998, 27, 357-406. The use of 2H, 13C, 15N multidimensional NMR to study the structure and dynamics of proteins. R. A. Venters, R. Thompson, J. Cavanagh, J. Mol. Struct. 2002, 602, 275-292. Current approaches for the study of large proteins by NMR. V. Tugarinov, P. M. Hwang, L. E. Kay, Annu. Rev. Biochem. 2004, 73, 107-146. Nuclear Magnetic Resonance Spectroscopy of high-molecular weight proteins. L.-Y. Lian, D. A. Middleton, Prog. Nucl. Magn. Reson. Spectrosc. 2001, 39, 171-190. Labelling approaches for protein structural studies by solution-state and solid-state NMR.