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A stable lipid-induced aggregate of alpha-Synuclein Malte Drescher

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1 Supporting Information for J. Am. Chem. Soc 10.1021/ja909247j:

A stable lipid-induced aggregate of alpha-Synuclein

Malte Dreschera†, Bart D. van Rooijenb, Gertjan Veldhuisb&, Vinod Subramaniamb*, Martina Hubera*

Department of Molecular Physics, Leiden University, PO Box 9504, 2300 RA Leiden, The Netherlands

Nanibiophysics, MESA+ Institute for Nanotechnology & MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, PO Box 217, 7500AE Enschede, The Netherlands

Experimental

Protein and sample preparation

Wild-type αS does not contain any cysteine residues. The αS cysteine mutations at selected sites (9, 18, 69, and 90) have been introduced using standard site-directed mutagenesis approaches. In order to perform site-directed spin labelling, αS mutants were expressed in Escherichia coli strain BL21(DE3) using the pT7-7 expression plasmid (courtesy of the Lansbury Laboratory, Harvard Medical School, Cambridge, MA) and subsequently purified in the presence of 1mM DTT.

Prior to labeling, αS mutant proteins were reduced with a six-fold molar excess (per cysteine) of DTT for 30 minutes at room temperature. Subsequently, samples were desalted with Pierce Zeba 5mL desalting columns, followed by an immediate addition of a six-fold molar excess (per cysteine) of MTSL spin label [(1-oxyl-2,2,5,5-

tetramethylpyrroline-3-methyl))-methanethiosulfonate] and incubated for one hour in the dark at room temperature. Owing to the high reactivity of the label and the fact that the cysteine residues are freely accessible in the poorly folded structure, near quantitative labeling can be achieved under these conditions.[1] After this, free label was removed using two additional desalting steps. Protein samples were applied onto Microcon YM- 100 spin columns to remove any precipitated and/or oligomerized proteins and diluted into 10 mM Tris-HCl, pH 7.4 to typical protein concentrations of approximately 0.25 mM.

Small unilamellar vesicles (SUV) (diameter about 35 nm) of anionic POPG lipids [1- Palmitoyl-2-Oleoyl-sn-Glycero-3-(Phosphorac-(1-glycerol))] were prepared in a 10mM Tris-HCl, pH7.4 buffer by sonication for minimally 30 minutes[2].

αS was added to the liposome solution resulting in different protein:lipid-ratios between 1:1000 and 1:250. Assuming a lipid head surface area A=0.55 nm2[3], an SUV-radius of r=12.5 nm and a bilayer thickness t=3.6 nm[4], the number of lipids per SUV, N can be estimated to N=4πr2/A+(4π(r-t)2/A) resulting in approximately 5 αS per SUV at a peptide-lipid ratio of 1:1000. At this two-dimensional concentration c the averaged next- nearest neighbour distance is given by D=0.5/c0.5≈10 nm [5].

a University of Leiden

Present address: Department of Chemistry, University of Konstanz, 78432 Konstanz, Germany, Email: malte.drescher@uni-konstanz.de

&

Present address: Friesland-Campina; gertjan.veldhuis@frieslandcampina.com

bUniversity of Twente

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The final protein concentration was typically 180 µM.

POPG SUVs in the presence of αS

The effect of αS on SUVs composed of POPG was tested by dynamic light scattering (DLS), size exclusion chromatography (SEC) with dye-labelled lipids and αS, and by a vesicle leakage assay.

The DLS-experiments were performed on a Zetasizer Nano-ZS (Malvern). Vesicle size of POPG large unilamellar vesicles (LUVs) prepared by extrusion (Mini-extruder Avanti Polar Lipids) and POPG SUVs in buffer prepared as described above was determined before and after adding αS using a peptide-lipid-ratio of 1:250 (Fig. S1). Before adding protein we find a characteristic homogeneous size distribution around d = 35 nm (SUV) and 100 nm (LUV). After adding αS, for the SUVs, a fraction of the distribution shifts towards smaller radii, suggesting a change in SUV structure, while the LUV size distribution remains unchanged.

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3

1 10 100 1000 10000

0 4 8 12 16

POPG LUV before adding αS POPG LUVs after adding αS

Volume %

size [nm]

1 10 100 1000 10000

0 4 8 12 16 20

POPG SUV before adding αS POPG SUV after adding αS

Volume [%]

Size [nm]

Fig. S1: Vesicle size determination by Dynamic Light Scattering on POPG LUV (top) and SUV (bottom) before (red) and after (black) adding αS.

For SEC, the vesicles were labelled with DOPE-rhod (absorption maximum at 570 nm), and the αS-cysteine mutant 140C was labelled with alexa 488. Pure vesicles, and vesicles incubated with αS were eluted, and the absorption at 570 nm and 488 nm was monitored in order to detect lipids and αS, respectively (Fig. S2).

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4 6 8 10 12 14 16 18 0.0

0.2 0.4 0.6 0.8 1.0

absorbtion normalized

Volume (ml)

POPG SUV before adding ααααS POPG after adding ααααS

ααα αS

Fig. S2: Size exclusion chromatography. DOPE-rhod labeled POPG is monitored before (red) and after (black) adding alexa 488-labeled αS. In green, the absorption of the protein is monitored after the αS was added to the SUVs

The elution profile of vesicles in the presence of αS differs from that of pure SUVs.

After adding the protein, the absorption of the lipid dye shows tailing towards larger elution volumes, indicating a contribution of lipids in structures, which are smaller in size than the pure SUVs. According to the absorbance of the αS dye, also αS is bound to these smaller structures. Albeit smaller than the pure vesicles, these structures are still much larger than the monomeric αS eluting between 14 and 18 ml. Quantification of the size differences is difficult, because, both, the SUVs and the smaller structures elute close to the void volume fraction of the column.

Vesicle leakage was monitored by a dye efflux assay. POPG SUVs were loaded with 0.5 mM HPTS and 3 mM DPX (a dye-quencher pair). The protein αS was added to a vesicle solution to a final protein concentration of 2 µM and a lipid concentration of 500 µM and the fluorescence was monitored over time. After a certain time, 0.5% triton X-100 was added to destroy all vesicles and to normalize the leakage fraction (Fig. S3).

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5

0 2 4 6 8 10 12 14 16

0,0 0,2 0,4 0,6 0,8 1,0

Fraction Leakage

Time (min)

Fig. S3: Vesicle leakage assay. Fluorescence of POPG SUVs loaded with a dye-quencher pair is monitored. After 0.5 min αS is added. Fluorescence increase indicates dilution of the dye-quencher pair. At 14.5 min. triton X-100 is added destroying all vesicles.

The fluorescence increase over time indicates that dye or quencher escape from the SUVs. At the end of the essay the fluorescence intensity is 15% of the maximum, which shows fractional leakage of the vesicles, but not complete destruction thereof.

These effects are absent or less pronounced in larger vesicles, such as 100 nm diameter vesicles or in vesicles composed of mixtures of lipids (POPG with POPC). Similarly, Jao et al. [6] suggested a possible interference of αS with the vesicles, albeit to a much larger extent.

We conclude that αS affects the membrane structure of the SUVs. The effects are strongest for POPG SUVs, suggesting that such interference requires a specific state of the membrane, i.e. that αS takes advantage of the relative instability of the highly curved, highly charged membrane. Since all effects we observe concern a fraction of the sample it is at present difficult to define causal relationships between the observed aggregation of αS and the changes in SUV structure.

EPR

The mixture of αS and POPG SUV was allowed to incubate for at least 30 minutes at room temperature before measuring. In order to obtain an experimental background trace to subtract “inter-aggregate” interactions experiments on diamagnetically diluted protein samples containing 25% singly labeled αS and 75% unlabeled wild-type αS have been performed. Glycerol (approximately 20% vol/vol) was added to all samples before transferring them into 3 mm o.d. tubes and shock freezing in liquid nitrogen.

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Continuous wave (cw)-EPR experiments

Distances below 1.5 and above 4.5 nm will not contribute to the DEER signal under the conditions of the experiment, explaining, for example, that we do not observe the distance of 1.2 nm predicted for dimer B for αS9. Therefore, cw-experiments were performed to detect such short distances. All cw-experiments have been performed in a rectangular cavity at T=120 K using a modulation amplitude of 2.5 G, microwave power approximately 0.6 µW. EPR spectra of membrane bound singly labelled αS mutants do not differ from the reference sample. The reference sample was diamagnetically diluted, membrane-bound αS69 (mixture of 15% spin labelled αS69 with 85% wild-type (wt) αS). Although short distances could, in principle, be detected by line broadening in cw EPR, the combination of a broad distance distribution and a low population of a short distance fraction can make detection difficult. This is illustrated by the simulation shown in Fig. S4: In the single-distance simulation, i.e. for an infinitely narrow distance

distribution, a fraction of 30% at a distance of 1.2 nm is barely visible. Any broadening of that distribution will smear out the effect seen in Fig. S4. It is therefore not surprising that no such broadening could be detected experimentally.

Fig. S4: Simulation of the continuous wave EPR spectrum expected for of a superposition of a 30 % population of spin pairs with a distance of 1.2 nm and 70 % non interacting spins (red). In back: References spectrum of non-interacting spins. Simulation performed with the EasySpin package.[12]

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7 DEER experiments

All DEER experiments[7] were done at T = 40 K. The magnetic field and the pump frequency were adjusted such that the pump π-pulse (length: 28 ns) was applied to the maximum intensity band of the nitroxide spectrum, 35 MHz below the centre of the resonator mode. The observer frequency was increased by 70MHz with respect to the pump frequency. Pulse lengths of the observer channel were 16 and 32 ns for π/2- and π- pulses, respectively. A phase cycle (+x)-(−x) was applied to the first observer pulse. The complete pulse sequence is given by: π/2obs1obs -T-πpump-(τ12-T)-πobs2-echo.[8] The DEER time-traces for ten different τ1-values spaced by 8 ns starting at τ1=200 ns were added in order to suppress proton modulations. Typical accumulation times per sample were 18 hours.

Analysis of DEER traces

In order to analyse the data and extract the distance distributions, the software package DEERAnalysis 2006.1 has been used (courtesy of Gunnar Jeschke, ETH Zürich, Switzerland)[8-11]. Experimental background functions were derived from individually measured DEER traces of membrane bound singly labeled mutant in diamagnetic dilution. The DEER time traces for membrane bound mutants are shown in Fig. S3.

Distance distributions are derived by model free Tikhonov regularization[10]. The regularization parameter was determined by analysing the L-curve for each DEER trace individually.

The number of coupled spins per aggregate was derived from the calibrated modulation depth of the background corrected DEER trace. Errors were estimated from the range of values that this parameter can have given the signal-to-noise ratio of the DEER traces and agree with the sample-to-sample variation of this parameter. In order to calibrate the modulation depth a biradical with close to 100% labelling degree was measured under identical measurement conditions.

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Fig. S5: Additional peaks in the distance distributions of 1:1 mixture of membrane bound αS9 and αS69 compared to the sum of individually measured membrane bound pure αS9 and αS69. The additional peaks are allocated to intermolecular distances between the spin labels at residues 9 and 69.

In order to get further intermolecular distance information we have tested molar 1:1- mixtures of different singly labelled membrane bound mutants, e. g. αS(I) and αS(II). In this case interactions of αS(I)- αS(I) and those of αS(II)- αS(II) occur and result in a distance distribution corresponding to the sum of the distributions obtained for αS(I) and αS(II), respectively. Additionally αS(I)- αS(II) (and αS(II)- αS(I), which is not a priori identical) interactions are present in the case of mixtures. Comparing the sum of distance distributions of pure αS(I) and αS(II) to that of the mixture, and identifying additional peaks in the latter enables us to derive intermolecular distance information between non- identical residues. See Fig. S5 for an example where additional peaks are indicated by arrows and allocated to coexisting structures A and B, respectively.

Reference List

[1.] C. C. Jao, A. Der-Sarkissian, J. Chen, R. Langen, Proceedings of the National Academy of Sciences of the United States of America 2004, 101 8331-8336.

[2.] W. S. Davidson, A. Jonas, D. F. Clayton, J. M. George, Journal of Biological Chemistry 1998, 273 9443-9449.

[3.] W. Zhao, T. Rog, A. A. Gurtovenko, I. Vattulainen, M. Karttunen, Biophysical Journal 2007, 92 1114-1124.

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9 [4.] W. Zhao, T. Rog, A. A. Gurtovenko, I. Vattulainen, M. Karttunen, Biophysical

Journal 2007, 92 1114-1124.

[5.] S. Chandrasekhar, Reviews of Modern Physics 1943, 15 .

[6.] C. C. Jao, B. G. Hegde, J. Chen, I. S. Haworth, R. Langen, Proceedings of the National Academy of Sciences of the United States of America 2008, 105 19666- 19671.

[7.] M. Pannier, S. Veit, A. Godt, G. Jeschke, H. W. Spiess, Journal Of Magnetic Resonance 2000, 142 331-340.

[8.] G. Jeschke, V. Chechik, P. Ionita, A. Godt, H. Zimmermann, J. Banham, C. R.

Timmel, D. Hilger, H. Jung, Appl.Magn.Reson. 2006, 30 473-498.

[9.] G. Jeschke, Chemphyschem 2002, 3 927-932.

[10.] G. Jeschke, A. Koch, U. Jonas, A. Godt, Journal Of Magnetic Resonance 2002, 155 72-82.

[11.] G. Jeschke, Macromolecular Rapid Communications 2002, 23 227-246.

[12.] S. Stoll, A. Schweiger. Journal of Magnetic Resonance 2006, 178, 42-55

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