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What is the structural role of helix 3, and how does it affect RNA binding? There are only a few chemical shift changes in helix 3 upon RNA binding, suggesting that the helix does not interact extensively with the RNA, if at all. In fact, only the amino acids at the very C-terminus of helix 3 point toward the RNA and are located close to the AGGA loop in the spin-labeling experiment (Figure 6D). If helix 3 does not contact RNA directly, how does it then contribute so significantly to RNA binding? Helix 3 packs against the region of the protein (helix 1/loop 1) that approaches the AGNN loop. We previously suggested that helix 1 could play a role in identifying specific substrates for at least some dsRBDs (Ramos et al, 2000b). The interaction of helix 3 with the C-terminal end of helix 1 and loop 1 would generate a sterical clash with the first helix if its length was the same as in the other dsRBDs. In order to accommodate the new helix, helix 1 is shortened and loop 1 protrudes more deeply toward the RNA-binding surface than observed in other dsRBDs. Thus, the presence of helix 3 induces a divergent structure for a key region of the interface by shortening helix 1 to a conformation that is unique among all dsRBDs studied so far (Figure 7). When we mutated Arg445–Ala, resonances within the extended hydrophobic patch packing helices 1 and 3 and within loop 1 were broadened or shifted, indicating a destabilization of this region of the protein. The Arg445–Ala mutant protein–RNA complex precipitated. These results suggest that the new helix contributes to RNA binding indirectly through its effect on the conformation of the helix 1–loop 1 region.
In summary, we have demonstrated that the ability of Rnt1p enzymes to bind to short stem-loops capped by AGGA loops that mimic its physiological substrates requires a new -helical extension to the canonical dsRBD. Although the new helix does not participate directly in the recognition of the AGGA loop, the structural analysis strongly suggests that its interaction with helix 1/loop 1 is critical to position residues that are essential for RNA binding.
Materials and methods RNA and protein expression and purification
RNAs used in the biochemical and structural investigations (Figure 1) were prepared by in vitro run-off transcription using T7 RNA polymerase and purified as described (Price et al, 1998). Several protein constructs were prepared as discussed in the text. DNAs corresponding to the various constructs were amplified using standard methods from yeast genomic DNA by standard PCR methods and inserted into pET21 or pET9 vectors. Cell cultures (BL21(DE3) Escherichia coli) were then grown in M9 minimal media supplemented with appropriately isotope-labeled NH4Cl and 13C-glucose, as required. Cultures were induced with IPTG during mid-logarithmic phase and harvested 4 h post-induction. Protein purification was conducted by metal chelate affinity chromatography. His tags (separated by two linker residues) were added to the C-or N-terminus to facilitate protein purification. The proteins were further purified by anion exchange followed by size exclusion chromatography. No impurities were detected either by SDS gel electrophoresis or by mass spectroscopy.
RNA-binding assays
End-labeled RNA was prepared and used for gel shift experiments as described (Nagel and Ares, 2000). Dried gels were exposed to a phosphorimaging plate and scanned with a phosphorimager; bands corresponding to free and bound RNA were quantified using ImageQuant software.
Optimization of experimental conditions
Experimental conditions for NMR were optimized in parallel for the free protein and for the protein–RNA complex to facilitate subsequent analysis. 1H–15N HSQC spectra were recorded under different conditions and the protein conformation was monitored by observing protein amide resonances. The pH had a notable effect; above 6.5, the number and spread of amide resonances were indicative of a well-structured protein, while below pH 6.5, an additional set of approximately eight peaks appeared in the HSQC spectra, indicating the presence of a second conformer. This behavior is probably due to local unfolding due to His protonation, but we made no attempt to characterize the secondary low pH conformer. Conditions used for recording NMR spectra were 10 mM phosphate buffer at pH 6.5, 1 mM DTT and 310 K.
NMR spectroscopy
NMR experiments were conducted on Bruker AV500, DMX600 and AV800 MHz spectrometers equipped with triple-resonance probes and gradient units. All experiments were performed under the same buffer conditions (10 mM phosphate (pH 6.5), 1 mM DDT) at a temperature of 310 K unless otherwise specified. The experiments used in the assignments of resonances of the free and bound protein are listed in Supplementary Table S1. Backbone C , C , C', N assignments were obtained using standard triple-resonance experiments (Sattler et al, 1999). 2D NOESY experiments (conducted in both H2O and D2O) at mixing times of 60, 120 and 300 ms recorded at 600 MHz and 3D 15N-edited NOESY at a mixing time of 100 ms were used to obtain distance constraints. In order to determine which amide protons are involved in hydrogen bonds, the protein was lyophilized and rapidly re-suspended in D2O. A 15N-HSQC spectrum was collected immediately after re-suspension with the temperature lowered to 280 K to slow amide exchange with solvent (at the relatively high pH of our experiments, all amide resonances were fully exchanged at room temperature before spectra could be collected). Resonances that exchanged slowly enough to be protected from exchange were considered hydrogen-bonded. The hydrogen-bonded partners were determined using MOLMOL (Koradi et al, 1996) based on preliminary structures calculated using only NOE restraints. Slowly exchanging amides with ambiguous attribution of the bonded partner were not constrained. The assignment of the protein resonances of the RNA-bound protein was conducted in parallel with the protein structure calculation. Since about half of all amide resonances experience only small perturbations in their 15N-HSQC and 13C-HSQC spectra, it was possible to assign over half of the backbone and side chains of the RNA-bound protein by visual inspection based on the free protein assignments. In order to confirm these assignments and further assign all shifted resonances, we recorded three-dimensional 15N-edited NOESY and TOCSY spectra of the complex. 13C-edited NOESY as well as homonuclear NOESY and TOCSY spectra in D2O were then used to complete the side-chain assignments.
NMR structure calculation
Structure calculations were performed starting from 50 randomly generated conformers that were then subjected to simulated annealing using an XPLOR protocol that has been successfully used for other protein/RNA complexes (Howe et al, 1998; Ramos et al, 2000a). Simulated annealing using torsional angle dynamics in CNS (3000 steps of TAD followed by cartesian dynamics during the slow cooling step) was also used due to the increased speed of these calculations (Brunger et al, 1998). The overall results were very similar using both protocols. Experimental data and structural statistics are summarized in Table II.
Identification of Rnt1p–AGNN contacts by paramagnetic relaxation
Well-established chemistry based on chemical synthesis of the RNA with 4-thio-uracil (Dharmacon) followed by reaction with 3-(2-iodoacetamido)-proxyl was used to attach a nitroxide spin label to the third base of the tetraloop (Ramos and Varani, 1998; Varani et al, 2000). Instead of AGAA, we used an AGUA loop that still conforms to the AGNN consensus; NMR spectra of the protein bound to the modified loop were very similar to those observed with the original AGAA loop. Progression of the labeling reaction was monitored by UV absorption at 320 nm; reacted RNA was separated from unreacted crude product by standard gel electrophoresis methods. Once a spin-labeled nitroxide is attached to the RNA, the unpaired electrons cause electron–proton paramagnetic relaxation by a dipolar mechanism; because the electron dipole is so large, relaxation effects extend to 15–20 Å (Gochin, 2000; Lugovskoy et al, 2002) and can be easily detected from the broadening or disappearance of protein resonances in the HSQC spectra (Ramos and Varani, 1998). Upon addition of a reducing agent such as sodium hydrosulfite, the normal spectrum was recovered thereby allowing the unambiguous identification of protein residues in proximity of the spin label.
X-ray crystallography
The longer protein construct (amino acids 362–471; Figure 1) was crystallized at 293 K by the hanging drop vapor diffusion method from 1.1 l drops of protein (11 mg/ml) and a precipitant containing 0.2 M lithium sulfate, 30% PEG 4000, 12% MPD and 0.1 M Tris (pH 8.5). The crystals were transferred to a cryoprotecting solution composed of mother liquor and 30% glycerol prior to flash freezing in liquid nitrogen. X-ray diffraction data was collected on the ID14-2 beamline at the ESRF. Data were processed using MOSFLM (CCP4, Collaborative Computational Project 4). The crystals belonged to the C2 space group with a predicted two molecules per asymmetric unit. The cell parameters and data collection statistics are reported in Table III.
The first MR attempts using either single models taken from the NMR ensemble, a minimum averaged structure or the entire NMR ensemble did not yield clear solutions. Four different models generated starting from the NMR structure and consisting of the ensemble of 50 NMR structures were used as search models in separated MR runs: (a) the 'full' model contained the full dsRBD structure and C-terminal helix but not the disordered regions of the NMR ensemble (N- and C-terminal residues plus loops 1 and 2); (b) the second model contained the same ordered residues as the 'full' model but flexible side chains (those with high r.m.s.d. in the NMR ensemble) were replaced with Ala; (c) a poly-Ala version of the 'full' model; (d) a 'truncated' model where the additional helix 3 (not present in the canonical dsRBD fold) was removed. Three MR programs were used simultaneously with each of the four search models: AMORE (Navaza, 2002), MOLREP (Vagin and Teplyakov, 1997) and BEAST (Read, 2001). The results from all three programs were compared and the solution common to all programs (not necessarily the best ranking solution in any of the programs) was chosen. The BEAST program was most efficient in separating this solution from the background noise. Search model b (full model with truncated flexible side chains) yielded the clearest solutions. The frequency of occurrence of the MR solution in three different programs and four different NMR ensembles yielded confidence.
Refinement required several cycles of non-crystallographic symmetry (NCS) phased refinement and automatic rebuilding to lower R/Rfree to acceptable values. Eliminating the flexible regions in the ensemble and using the NCS was central to the success of both the MR and the subsequent refinement. Two molecules of the NMR ensemble closest to the mean were chosen for refinement, but initial refinement using REFMAC proved difficult. Starting values of 55% R/Rfree did not lower significantly and inspection of electronic density maps was not helpful in determining which parts of the model were in error. This was interpreted as the manifestation of a correct phasing solution trapped in local secondary minimum. The 'NCS phased refinement' module in CCP4i was then used (CCP4, Collaborative Computational Project 4). This module iteratively performs density modification, averages the maps using the NCS and refines the model against the density-modified phases using REFMAC (Murshudov et al, 1999). Lower R-factors of 40–45% were obtained but refinement stalled again. Full model rebuilding using Arp/Warp (Perrakis et al, 1999) was not possible at this resolution, but multiple cycles of model rebuilding using the 'Model update and refinement' in Arp/Warp and NCS phased refinement finally allowed acceptable values of R/Rfree to be reached. Further model building and refinement were performed using O (Jones et al, 1991) and REFMAC (Murshudov et al, 1999). NCS restraints between the two monomers in the asymmetric unit could not be used because some regions of the protein were found in different conformations. The final model of the two proteins in the asymmetric unit contains residues 361–448 and 363–443, respectively. Statistics for the data collection, MR and refinement are summarized in Table III. Atomic coordinates are deposited into the Protein Data Bank under accession numbers 1T4N (NMR) and 1T4O (X-ray).
Supplementary data
Supplementary data are available at The EMBO Journal Online.
Acknowledgements
Work at UC Santa Cruz was supported by the WM Keck foundation, and work at the University of Washington was supported by a grant from NIH-NIGMS. Work at Université Paris-Sud is supported by grants from the Ministère de la Recherche et de la Technologie (Programme Génopoles) and the Association pour la Recherche contre le Cancer (to M Graille).
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