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. 2016 Jun 7;110(11):2361–2366. doi: 10.1016/j.bpj.2016.04.022

Sequence Context Influences the Structure and Aggregation Behavior of a PolyQ Tract

Bahareh Eftekharzadeh 1, Alessandro Piai 2, Giulio Chiesa 1, Daniele Mungianu 1, Jesús García 1, Roberta Pierattelli 2, Isabella C Felli 2, Xavier Salvatella 1,3,
PMCID: PMC4900447  EMSID: EMS68484  PMID: 27276254

Abstract

Expansions of polyglutamine (polyQ) tracts in nine different proteins cause a family of neurodegenerative disorders called polyQ diseases. Because polyQ tracts are potential therapeutic targets for these pathologies there is great interest in characterizing the conformations that they adopt and in understanding how their aggregation behavior is influenced by the sequences flanking them. We used solution NMR to study at single-residue resolution a 156-residue proteolytic fragment of the androgen receptor that contains a polyQ tract associated with the disease spinobulbar muscular atrophy, also known as Kennedy disease. Our findings indicate that a Leu-rich region preceding the polyQ tract causes it to become α-helical and appears to protect the protein against aggregation, which represents a new, to our knowledge, mechanism by which sequence context can minimize the deleterious properties of these repetitive regions. Our results have implications for drug discovery for polyQ diseases because they suggest that the residues flanking these repetitive sequences may represent viable therapeutic targets.

Introduction

A group of nine disorders termed polyglutamine (polyQ) diseases occur as a result of the expansion of polymorphic polyQ tracts in proteins that are otherwise unrelated (1). The variable length of such tracts is due to the propensity of the CAG and GTC codon repeats that codify for them to form non-B-DNA structures that cause slippage during DNA replication (2). As a consequence of these expansions, encoded proteins with expanded polyQ tracts are formed, which often misfold, oligomerize, and aggregate to form fibrillar species resembling amyloid fibrils that may play a role in the onset of polyQ diseases (3, 4, 5).

Characterizing the structural and dynamical properties of polyQ tracts is crucial for understanding the molecular basis of polyQ diseases and for developing therapeutic strategies to inhibit their aggregation (6). However, these regions of low sequence complexity are challenging targets for conventional methods of structural biology. This is due, in addition to their low solubility, to their high propensity to be intrinsically disordered, which in general hinders crystallization, and to the highly repetitive nature of their amino acid sequence, which can hamper their investigation by NMR. A number of pioneering studies have characterized the structural and dynamic properties of polyQ tracts, but to date it has not been possible to report on the conformation of one such a tract in its native context and without fusing it to a solubilizing moiety (7, 8).

We focus here on a polyQ tract occurring in the transactivation domain of the androgen receptor (AR), which plays a key role in the onset of spinal bulbar muscular atrophy (SBMA), a rare hereditary neuromuscular polyQ disease also known as Kennedy disease (9). AR is a nuclear receptor activated by androgens such as dihydrotestosterone that regulates the expression of the male phenotype (10). The polymorphic polyQ tract in AR starts at position 59 and can be between 14 and 34 residues long in healthy individuals (Fig. 1 a). Sizes over 37 residues are associated with SBMA and the length of the polyQ tract anticorrelates with the age of onset.

Figure 1.

Figure 1

Structural organization of AR. (a) Position of the transactivation (NTD), DNA binding (DBD), and ligand binding (LBD) domains of AR with an indication of the positions of the 55LLLL58 motif, shown in green, of the polymorphic polyQ tract, shown in purple, and of the caspase-3 cleavage site. (b) AR constructs used in this work (see also Fig. S1).

The polyQ tract of AR is involved in the formation of the aggregates associated with SBMA (11). However, neither its structure nor its role in the mechanism of AR aggregation are known and this acts as an important hurdle for the development of therapeutic approaches for this disease based on preventing or decreasing the rate of aggregation. To remedy this and, especially, to better understand how sequence context can influence the structural properties of polyQ tracts, we used solution NMR to investigate the conformation of a N-terminal fragment of AR found in the aggregates associated with SBMA. This 156-residue fragment is the product of proteolytic cleavage by caspase-3 and plays a key role in the progression of the disease (Fig. 1 a) (9).

Materials and Methods

Protein expression and purification

The genes codifying for 4Q, 25Q, and 25QΔL4 (Figs. 1 b; Fig. S1 in the Supporting Material) were purchased from GeneArt (Thermo Fischer Scientific, Waltham, MA) and cloned in a pDEST-HisMBP vector (Addgene). Expression of the resulting genes led to fusion proteins containing a His6 tag and a maltose binding protein moiety that were used, respectively, to purify and increase the solubility of the proteins. 15N- and 15N,13C-labeled protein expression was carried in Rosetta Escherichia coli cells grown in 3-(N-morpholino)propane-1-sulfonic acid at 37°C until the value of OD600 was 0.7 and induced with 0.5 mM isopropyl β-D-1-thiogalactopyranoside for 4 h at 28°C. Cells were harvested by centrifugation and resuspended in core buffer (50 mM sodium phosphate, 500 mM NaCl, 5% (v/v) glycerol, 1 mM 2-mercapto-ethanol, pH 8.0). A HisTrap HP 5 ml column (GE Healthcare, Little Chalfont, UK) was used to purify the proteins, which were eluted by an imidazole gradient (final composition: 500 mM imidazole, 50 mM sodium phosphate, 500 mM NaCl, 5% glycerol, 1 mM 2-mercapto-ethanol, pH 8.0), followed by a size exclusion chromatography step carried out in a Superdex HighLoad S200 26/60 column (GE Healthcare) equilibrated in a buffer with the following composition: 500 mM NaCl, 20 mM sodium phosphate, 5% (v/v) glycerol, 1 mM DTT, pH 7.5. The pure proteins were then incubated with His6-tagged tobacco etch virus protease for 16 h at 4°C by dialysis against a buffer containing 20 mM sodium phosphate, 100 mM NaCl, and 0.5 mM EDTA, pH 8.0. The product of the proteolytic cleavage was purified by Ni2+ affinity chromatography, employing a buffer containing 8 M urea (500 mM imidazole, 50 mM sodium phosphate, 100 mM NaCl, 8 M urea, pH 8.0) to prevent the aggregation of the cleaved AR in the column. Finally, the cleaved proteins were stored at –80°C.

NMR sample preparation

Except for the experiments presented in Fig. 4 b the protein solutions stored at −80°C in 8 M urea were thawed and dialyzed (1:1000) for 16 h at 4°C against a buffer containing 20 mM sodium phosphate and 1 mM tris(2-carboxyethyl)phosphine (TCEP) at pH 7.4. Finally, 10% (v/v) D2O and 0.015 mM 4,4-dimethyl-4-silapentane-1-sulfonic acid were added to the samples; the concentration of these NMR samples was 400 μM. The experiments presented in Fig. 4 b were carried out with samples prepared with the procedure used for preparing the circular dichroism (CD) and dynamic light scattering (DLS) samples (see below); the concentrations of these samples were 43 μM (25QΔL4) and 50 μM (25Q).

Figure 4.

Figure 4

Characterization of the structural and aggregation properties of 25Q (red) and 25QΔL4 (black). (a) Comparison of the CD spectra of 130 μM 25Q and 140 μM 25QΔL4 at 310 K. (b) Comparison of the 1H-15N HSQC NMR spectra of 50 μM 25Q and 43 μM 25QΔL4 at 278K. The crosspeaks belonging to the four Leu of 25Q immediately preceding the polyQ tract, not present in 25QΔL4, are indicated. The absence of helical propensity in 25QΔL4, which reduces the chemical shift dispersion of the resonances corresponding to the polyQ tract, is highlighted. (c) Temporal evolution of the mean particle size of 4Q (blue), 25Q (red), and 25QΔL4 (black) at 20 μM and 310 K.

DLS and CD sample preparation

The protocol was adapted from the one developed by the Linse group for Aβ peptide kinetic measurements ((12) and G.C. and X.S., unpublished data). After purification, the lyophilized protein was dissolved in a buffer containing 20 mM sodium phosphate, 100 mM NaCl, 6 M guanidine thiocyanate, pH 7.4, and 5 mM TCEP until complete reduction of the protein, as monitored by high-performance liquid chromatography measurement with a C18 column. The solution was passed through a PD-10 column (GE Healthcare) equilibrated in 20 mM sodium phosphate, pH 7.4. The most concentrated fraction was then purified with a Superdex 75 10/300 size exclusion chromatography column and the fractions containing exclusively the monomeric protein were centrifuged at 386,000 × g for 1 h at 4°C, using an Optima MAX preparative ultracentrifuge (Beckman Coulter, Brea, CA). Only the upper three-quarters of the centrifuged solutions were used for the assays.

DLS

Before the measurements, samples were centrifuged by using a tabletop centrifuge at 4°C for 10 min at 13,000 rpm. Measurements were taken with a Malvern Zetasizer Nano S equipped with a He-Ne of 633 nm wavelength laser. For each experiment, 20 repetitions of 20 s were recorded. Three measurements were performed at each time point. The concentration of the DLS samples was 20 μM and the experiments were performed at 310 K.

CD spectroscopy

Far-ultraviolet CD measurements were performed on a JASCO 815 spectropolarimeter (Oklahoma City, OK) using a 0.01 cm length cuvette. Freshly prepared samples were diluted to the desired concentration with 20 mM sodium phosphate buffer (pH 7.4). The spectra were acquired at 0.2 nm resolution with a scan rate of 50 nm/min. For each sample, 10 spectra were collected and averaged, after subtracting the blank. The concentrations of the CD samples were 130 μM for 25Q, 120 μM for 4Q, and 140 μM for 25QΔL4 and the experiments were performed at 310 K.

NMR experiments

0.4 mM samples of 13C,15N double-labeled 4Q and 25Q in 20 mM sodium phosphate, 1 mM TCEP, pH 7.4 were prepared. 10% (v/v) D2O was added for the lock. Identical samples, but exclusively enriched in 15N, were used to acquire 15N relaxation experiments. 13C-detected and 1H-detected NMR experiments for sequence-specific resonance assignment were acquired at 16.4 T on a Bruker Avance spectrometer (Billerica, MA) operating at 700.06 MHz 1H, 176.03 MHz 13C, and 70.94 MHz 15N frequencies, equipped with a cryogenically cooled probehead optimized for 13C-direct detection (TXO), and at 22.3 T on a Bruker Avance III spectrometer operating at 950.20 MHz 1H, 238.93 MHz 13C, and 96.28 MHz 15N frequencies, equipped with a cryogenically cooled probehead (TCI). 15N relaxation experiments were performed at 16.4 T Bruker Avance spectrometer operating at 700.13 MHz 1H, 176.05 MHz 13C, and 70.94 MHz 15N frequencies, equipped with a cryogenically cooled probehead (TXI), by measuring 15N backbone longitudinal (R1) and transverse (R2) relaxation rates and the heteronuclear 15N{15H} NOEs. The experiments presented in (see Fig. 4 b) were acquired at 18.8 T on a Bruker Digital Avance spectrometer operating at 800 MHz 1H, 201.20 MHz 13C, and 81.08 MHz 15N frequencies, equipped with a cryogenically cooled probehead (TCI), with 15N-enriched samples. All the experiments were collected at 278 K.

A data set consisting of a combination of 13C-detected (4D HCBCACON (13), 4D HCBCANCO (13), 4D (HCA)CON(CA)CON (14) and 4D (HN)CON(CA)CON) (14) and 1H-detected (3D TROSY HNCO (15), 4D TROSY (H)NCO(CA)NNH (16) and 4D TROSY HN(COCA)NNH) (16) NMR experiments was used to achieve the full sequence-specific assignment of 4Q. Instead, 13C-detected 4D HCBCACON (13) and 4D (HN)CON(CA)CON (14) experiments, and 1H-detected 3D TROSY HNCO (15), 3D TROSY HN(CA)CO (17), and 4D TROSY HN(COCA)NNH (16) experiments were acquired to obtain the complete resonances assignment of 25Q. All the experiments were performed using on-grid nonuniform sampling (NUS). The Poisson disk sampling scheme was chosen to generate the time schedules with the RSPack program (18). The assignments of HN, Hα, Hβ, C′, Cα, Cβ, and N resonances of 4Q and 25Q are reported in the BMRB (http://www.bmrb.wisc.edu) (19), entries 25606 and 25607. The parameters used for the acquisition of the experiments are reported in Tables S1–S4.

NMR data processing and analysis

NUS NMR data were converted with NMRPipe (20) and then processed using ToASTD (21) and reduced (22, 23) programs. Uniformly sampled NMR data were processed with TopSpin. Sparky (24) and CcpNMR Analysis (25) were used to visualize the spectra and analyze the 15N relaxation data, respectively. The secondary structure propensity from the heteronuclear chemical shifts was determined for 4Q and 25Q by using the neighbor-corrected structural propensity calculator (ncSPC) method (26), available online at http://nmr.chem.rug.nl/ncSPC/. The Tamiola, Acar, and Mulder random coil chemical shift library was chosen for the analyses (27) using ncSPC. The secondary structure propensities were also calculated by using δ2D (28), available online at http://www-mvsoftware.ch.cam.ac.uk/.

Results and Discussion

To investigate how the properties of the polyQ tract depend on its length we used constructs containing 4 and 25 Gln residues (4Q and 25Q, Figs. 1 b and S1). Constructs featuring longer polyQ tracts could not be used in the study because they aggregate too fast with respect to the time required to perform the NMR experiments. The disordered nature of the protein and the presence of a 25 residue-long polyQ tract required an experimental strategy based on the use of recently developed 4D 13C-detected NMR experiments that lead to the complete sequence-specific assignment of the fragment (13, 14). Heteronuclei were exploited to take advantage of their improved chemical shift dispersion, compared to that of protons, and of their reduced sensitivity to exchange processes (29). The extensive crosspeak overlap in the spectra was overcome by acquiring high-dimensional experiments and by exploiting NUS to achieve high spectral resolution in the indirect dimensions. To our knowledge, a full characterization at atomic resolution of a polyQ tract under native conditions, as the one reported here, is unprecedented.

As shown in Fig. 2, in which we present the central regions of the two-dimensional (2D) 1H-15N HSQC and 13C-15N CON-IPAP spectra of 4Q and 25Q, the spectral differences between these two constructs are limited to the resonances of the polyQ tract and of the 4 Leu residues immediately preceding it, i.e., the 55LLLL58 motif. An interesting feature of the spectra of 25Q is the presence of pseudodiagonals, a characteristic fingerprint, consisting of the crosspeaks corresponding to the residues of the polyQ tract, which have 1HN, 15N, and 13C′ chemical shifts that correlate with their position in the sequence of the fragment (Fig. S2).

Figure 2.

Figure 2

Comparison of the NMR (a and b) and CD (c) spectra of 4Q and 25Q. Central region of (a) the 13C,15N-CON-IPAP spectrum and (b) the 1H-15N HSQC spectrum of 400 μM 4Q (black) and 25Q (red) at 278 K with an of the resonances, that experience the largest chemical shift variations upon increasing the length of the polyQ tract. A close up of the CON-IPAP spectrum of 25Q with the full assignment of the polyQ tract is provided in Fig. S2. (c) CD spectrum of 120 μM 4Q and 130 μM 25Q at 310 K.

We analyzed the NMR chemical shifts to derive the conformational properties of 4Q and 25Q (Fig. 3) in terms of secondary structural propensities by using the algorithms ncSPC (27, 30) and δ2D (28). The values obtained with both methods indicate the absence of persistent secondary structure in the polypeptide except for the polyQ tract and for the 4 Leu residues preceding it, which show some α-helical propensity, and a dramatic increase in helical propensity of the polyQ tract upon expansion from 4 to 25 residues. Although similar observations have been reported (31) this is a surprising result considering that polyQ tracts are in general disordered or, in the fibrillar state, in an extended conformation (8, 32). The fact that the helical propensity of the polyQ tract increases with its length was confirmed by CD analysis (Fig. 2 c) and 15N relaxation measurements (Fig. S3). Interestingly, the helicity was found to be most pronounced at the beginning of the polyQ tract and to decrease gradually toward its end.

Figure 3.

Figure 3

Secondary structure propensity of 4Q and 25Q obtained by using ncSPC (a) and population of α-helix obtained by using δ2D (b). To facilitate the comparison the values for the residues of 4Q that follow the polyQ tract are shifted to the right by 21 units. Values for residues 55 to 62, corresponding to the 55LLLL58 motif and the first 4 Gln of the polyQ tract, are shown in blue to highlight the variation of the structural properties of the protein due to the different length of the polyQ tract.

The fact that the residues of the 55LLLL58 motif, which precedes the polyQ tract, undergo very substantial chemical shift changes upon expansion of the latter (Figs. 2 and S3) indicates a certain degree of cooperativity in the conformational transition caused by expansion of the polyQ tract and suggests that they induce the formation of the α-helix. To verify this hypothesis, we analyzed by CD and NMR a mutant of 25Q in which the motif 55LLLL58 had been removed (25QΔL4, Figs. 1 b and S1). The results obtained indicate a loss of α-helical propensity (Fig. 4 a), and a decrease in the chemical shift dispersion in the resonances corresponding to the polyQ tract (Fig. 4 b). Both observations confirm the hypothesis that the motif 55LLLL58 induces a helical conformation in the polyQ tract and in its absence the tract adopts a conformation equivalent to that of synthetic polyQ peptides (11).

To investigate the effect of the 4 Leu residues on the kinetics of aggregation of the AR fragment, we compared the temporal evolution of 20 μM solutions of 4Q, 25Q, and 25QΔL4 by DLS, a technique that is well suited to characterize the early stages of protein aggregation (Fig. 4 c). The results show that the particle size (Dhz) increases much faster and reaches higher values for 25QΔL4 than for 25Q (Fig. 4 c), indicating that the presence of the motif 55LLLL58 modifies the aggregation behavior of the protein. 4Q, as expected (33), was found to hardly aggregate in the timescale probed in this experiment. The effect of the 55LLLL58 motif on the aggregation properties of the AR fragment is conceptually related to that obtained for huntingtin, the protein bearing the polyQ tract involved in Huntington’s disease. In that case a polyproline flanking region was found to decrease the aggregation rate by altering, albeit in a different way, the structural properties of the polyQ tract (34).

It is important to emphasize that the mechanism by which the helical motif 55LLLL58 alters the aggregation behavior of the AR fragment is fundamentally different from the mechanism by which previously described helical flanking regions modulate the aggregation tendencies of polyQ tracts. The N-terminal 17-residue helical region of huntingtin, for example, greatly accelerates the rate of aggregation of this protein not by modifying the structural properties of the polyQ tract but, rather, by establishing intermolecular interactions, with the same region of other monomers, that increase the local concentration of polyQ tracts and therefore facilitate their oligomerization (35); a similar behavior has been observed also for other proteins bearing polyQ tracts (36).

The high-resolution investigation of a protein bearing a polyQ tract achieved here by using an effective NMR strategy in combination with complementary techniques (CD, DLS) has revealed a new mechanism by which protein flanking regions influence the aggregation behavior of such tracts. Our findings reveal how a Leu-rich motif flanking a polyQ tract at its N-terminus can induce helical structure in the latter and in turn modify the mechanism of aggregation by adding a helix unfolding step to it. This is because the intramolecular hydrogen bonds that stabilize the compact α-helical secondary structure must break before the cross-β structure, rather elongated and stabilized by intermolecular hydrogen bonds, can form (37).

These results also show that the influence of flanking regions on the secondary structure of polyQ tracts spans a limited range, in our case ∼20 residues (Fig. 3) and that it may cease to be effective for the longer tracts that cause polyQ diseases (11, 38). In this scenario the potential protective role played by the induction of the helical structure would only be efficient for polyQ tracts of limited length, contributing to explaining why the protein becomes toxic only when the number of Gln residues exceeds a certain threshold. Sequence context would in this way be a contributing factor to the disease and protein-specific nature of the threshold that triggers protein aggregation and the onset of polyQ disease.

Conclusions

Our findings provide new, to our knowledge, insights into the structural properties of polyQ tracts and offer a compelling example of how flanking regions can alter the aggregation behavior and, therefore, the formation of potentially toxic fibrillar species by proteins harboring these peculiar sequences. Our increased understanding of how sequence context influences the properties of polyQ tracts opens up new, avenues for the development of therapeutic strategies for polyQ diseases based on targeting residues in the flanking regions rather than the polyQ tract themselves.

Author Contributions

R.P., I.C.F., and X.S. conceived the project and designed the experiments; B.E., A.P., G.C., D.M., and J.G. performed the experiments and analyzed the data; all authors contributed to writing the article.

Acknowledgments

This work was funded by BioNMR (EC contract No. 261863), IDPbyNMR (EC contract No. 264257), IRB, ICREA, Obra Social “la Caixa” (to B.E.), AGAUR (to G.C.), MICINN (CTQ2009-08850 to X.S.), MINECO (BIO2012-31043 to X.S.), Marató de TV3 (102030 to X.S.), and the ERC (CONCERT, 648201 to X.S.). D.M. was a recipient of an Erasmus placement fellowship from the University of Florence (Italy). IRB Barcelona is the recipient of a Severo Ochoa Award of Excellence from MINECO (Government of Spain).

Editor: Michele Vendruscolo.

Footnotes

Bahareh Eftekharzadeh and Alessandro Piai contributed equally to this work.

Three figures and four tables are available at http://www.biophysj.org/biophysj/supplemental/S0006-3495(16)30217-X.

Supporting Material

Document S1. Figs. S1–S3 and Tables S1–S4
mmc1.pdf (2.3MB, pdf)
Document S2. Article plus Supporting Material
mmc2.pdf (4MB, pdf)

References

  • 1.Zoghbi H.Y., Orr H.T. Glutamine repeats and neurodegeneration. Annu. Rev. Neurosci. 2000;23:217–247. doi: 10.1146/annurev.neuro.23.1.217. [DOI] [PubMed] [Google Scholar]
  • 2.Mirkin S.M. Expandable DNA repeats and human disease. Nature. 2007;447:932–940. doi: 10.1038/nature05977. [DOI] [PubMed] [Google Scholar]
  • 3.Liu K.-Y., Shyu Y.-C., Marsh J.L. Disruption of the nuclear membrane by perinuclear inclusions of mutant huntingtin causes cell-cycle re-entry and striatal cell death in mouse and cell models of Huntington’s disease. Hum. Mol. Genet. 2015;24:1602–1616. doi: 10.1093/hmg/ddu574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Bates G.P., Dorsey R., Tabrizi S.J. Huntington disease. Nat. Rev. Dis. Prim. 2015;1:15005. doi: 10.1038/nrdp.2015.5. [DOI] [PubMed] [Google Scholar]
  • 5.Sahl S.J., Weiss L.E., Moerner W.E. Cellular inclusion bodies of mutant huntingtin exon 1 obscure small fibrillar aggregate species. Sci. Rep. 2012;2:895. doi: 10.1038/srep00895. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Nalavade R., Griesche N., Krauss S. Mechanisms of RNA-induced toxicity in CAG repeat disorders. Cell Death Dis. 2013;4:e752. doi: 10.1038/cddis.2013.276. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Li P., Huey-Tubman K.E., Bjorkman P.J. The structure of a polyQ-anti-polyQ complex reveals binding according to a linear lattice model. Nat. Struct. Mol. Biol. 2007;14:381–387. doi: 10.1038/nsmb1234. [DOI] [PubMed] [Google Scholar]
  • 8.Masino L., Kelly G., Pastore A. Solution structure of polyglutamine tracts in GST-polyglutamine fusion proteins. FEBS Lett. 2002;513:267–272. doi: 10.1016/s0014-5793(02)02335-9. [DOI] [PubMed] [Google Scholar]
  • 9.Merry D.E., Kobayashi Y., Fischbeck K.H. Cleavage, aggregation and toxicity of the expanded androgen receptor in spinal and bulbar muscular atrophy. Hum. Mol. Genet. 1998;7:693–701. doi: 10.1093/hmg/7.4.693. [DOI] [PubMed] [Google Scholar]
  • 10.Gelmann E.P. Molecular biology of the androgen receptor. J. Clin. Oncol. 2002;20:3001–3015. doi: 10.1200/JCO.2002.10.018. [DOI] [PubMed] [Google Scholar]
  • 11.Chen S., Berthelier V., Wetzel R. Polyglutamine aggregation behavior in vitro supports a recruitment mechanism of cytotoxicity. J. Mol. Biol. 2001;311:173–182. doi: 10.1006/jmbi.2001.4850. [DOI] [PubMed] [Google Scholar]
  • 12.Hellstrand E., Boland B., Linse S. Amyloid β-protein aggregation produces highly reproducible kinetic data and occurs by a two-phase process. ACS Chem. Neurosci. 2010;1:13–18. doi: 10.1021/cn900015v. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Bermel W., Bertini I., Stanek J. Speeding up sequence specific assignment of IDPs. J. Biomol. NMR. 2012;53:293–301. doi: 10.1007/s10858-012-9639-0. [DOI] [PubMed] [Google Scholar]
  • 14.Bermel W., Felli I.C., Zawadzka-Kazimierczuk A. High-dimensionality 13C direct-detected NMR experiments for the automatic assignment of intrinsically disordered proteins. J. Biomol. NMR. 2013;57:353–361. doi: 10.1007/s10858-013-9793-z. [DOI] [PubMed] [Google Scholar]
  • 15.Kay L.E., Bax A. New methods for the measurement of NH- CαH constants in 15N-labeled proteins coupling. J. Magn. Reson. 1990;86:110–126. [Google Scholar]
  • 16.Piai A., Hošek T., Felli I.C. “CON-CON” assignment strategy for highly flexible intrinsically disordered proteins. J. Biomol. NMR. 2014;60:209–218. doi: 10.1007/s10858-014-9867-6. [DOI] [PubMed] [Google Scholar]
  • 17.Clubb R.T., Thanabal V., Wagner G. A constant-time three-dimensional triple-resonance pulse scheme to correlate intraresidue 1HN, 15N, and 13C′ chemical shifts in 15N–13C-labelled proteins. J. Magn. Reson. 1992;97:213–217. [Google Scholar]
  • 18.Kazimierczuk K., Zawadzka A., Koźmiński W. Optimization of random time domain sampling in multidimensional NMR. J. Magn. Reson. 2008;192:123–130. doi: 10.1016/j.jmr.2008.02.003. [DOI] [PubMed] [Google Scholar]
  • 19.Ulrich E.L., Akutsu H., Markley J.L. BioMagResBank. Nucleic Acids Res. 2008;36:D402–D408. doi: 10.1093/nar/gkm957. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Delaglio F., Grzesiek S., Bax A. NMRPipe: a multidimensional spectral processing system based on UNIX pipes. J. Biomol. NMR. 1995;6:277–293. doi: 10.1007/BF00197809. [DOI] [PubMed] [Google Scholar]
  • 21.Kazimierczuk K., Zawadzka A., Zhukov I. Random sampling of evolution time space and Fourier transform processing. J. Biomol. NMR. 2006;36:157–168. doi: 10.1007/s10858-006-9077-y. [DOI] [PubMed] [Google Scholar]
  • 22.Kazimierczuk K., Zawadzka-Kazimierczuk A., Koźmiński W. Non-uniform frequency domain for optimal exploitation of non-uniform sampling. J. Magn. Reson. 2010;205:286–292. doi: 10.1016/j.jmr.2010.05.012. [DOI] [PubMed] [Google Scholar]
  • 23.Kazimierczuk K., Zawadzka A., Koźmiński W. Narrow peaks and high dimensionalities: exploiting the advantages of random sampling. J. Magn. Reson. 2009;197:219–228. doi: 10.1016/j.jmr.2009.01.003. [DOI] [PubMed] [Google Scholar]
  • 24.Kneller D.G., Kuntz I.D. UCSF Sparky: an NMR display, annotation and assignment tool. J. Cell. Biochem. 1993;53:254. [Google Scholar]
  • 25.Vranken W.F., Boucher W., Laue E.D. The CCPN data model for NMR spectroscopy: development of a software pipeline. Proteins. 2005;59:687–696. doi: 10.1002/prot.20449. [DOI] [PubMed] [Google Scholar]
  • 26.Tamiola K., Acar B., Mulder F.A. Sequence-specific random coil chemical shifts of intrinsically disordered proteins. J. Am. Chem. Soc. 2010;132:18000–18003. doi: 10.1021/ja105656t. [DOI] [PubMed] [Google Scholar]
  • 27.Tamiola K., Mulder F.A. Using NMR chemical shifts to calculate the propensity for structural order and disorder in proteins. Biochem. Soc. Trans. 2012;40:1014–1020. doi: 10.1042/BST20120171. [DOI] [PubMed] [Google Scholar]
  • 28.Camilloni C., De Simone A., Vendruscolo M. Determination of secondary structure populations in disordered states of proteins using nuclear magnetic resonance chemical shifts. Biochemistry. 2012;51:2224–2231. doi: 10.1021/bi3001825. [DOI] [PubMed] [Google Scholar]
  • 29.Gil S., Hošek T., Felli I.C. NMR spectroscopic studies of intrinsically disordered proteins at near-physiological conditions. Angew. Chem. Int. Ed. Engl. 2013;52:11808–11812. doi: 10.1002/anie.201304272. [DOI] [PubMed] [Google Scholar]
  • 30.Marsh J.A., Singh V.K., Forman-Kay J.D. Sensitivity of secondary structure propensities to sequence differences between alpha- and gamma-synuclein: implications for fibrillation. Protein Sci. 2006;15:2795–2804. doi: 10.1110/ps.062465306. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Davies P., Watt K., McEwan I.J. Consequences of poly-glutamine repeat length for the conformation and folding of the androgen receptor amino-terminal domain. J. Mol. Endocrinol. 2008;41:301–314. doi: 10.1677/JME-08-0042. [DOI] [PubMed] [Google Scholar]
  • 32.Buchanan L.E., Carr J.K., Zanni M.T. Structural motif of polyglutamine amyloid fibrils discerned with mixed-isotope infrared spectroscopy. Proc. Natl. Acad. Sci. USA. 2014;111:5796–5801. doi: 10.1073/pnas.1401587111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Chen S., Ferrone F.A., Wetzel R. Huntington’s disease age-of-onset linked to polyglutamine aggregation nucleation. Proc. Natl. Acad. Sci. USA. 2002;99:11884–11889. doi: 10.1073/pnas.182276099. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Bhattacharyya A., Thakur A.K., Wetzel R. Oligoproline effects on polyglutamine conformation and aggregation. J. Mol. Biol. 2006;355:524–535. doi: 10.1016/j.jmb.2005.10.053. [DOI] [PubMed] [Google Scholar]
  • 35.Thakur A.K., Jayaraman M., Wetzel R. Polyglutamine disruption of the huntingtin exon 1 N-terminus triggers a complex aggregation mechanism. Nat. Struct. Mol. Biol. 2009;16:380–389. doi: 10.1038/nsmb.1570. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Ellisdon A.M., Thomas B., Bottomley S.P. The two-stage pathway of ataxin-3 fibrillogenesis involves a polyglutamine-independent step. J. Biol. Chem. 2006;281:16888–16896. doi: 10.1074/jbc.M601470200. [DOI] [PubMed] [Google Scholar]
  • 37.Calloni G., Lendel C., Chiti F. Structure and dynamics of a partially folded protein are decoupled from its mechanism of aggregation. J. Am. Chem. Soc. 2008;130:13040–13050. doi: 10.1021/ja8029224. [DOI] [PubMed] [Google Scholar]
  • 38.Scherzinger E., Sittler A., Wanker E.E. Self-assembly of polyglutamine-containing huntingtin fragments into amyloid-like fibrils: implications for Huntington’s disease pathology. Proc. Natl. Acad. Sci. USA. 1999;96:4604–4609. doi: 10.1073/pnas.96.8.4604. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Document S1. Figs. S1–S3 and Tables S1–S4
mmc1.pdf (2.3MB, pdf)
Document S2. Article plus Supporting Material
mmc2.pdf (4MB, pdf)

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