Proteomic consequences of expression and pathological conversion of the prion protein in inducible neuroblastoma N2a cells

Abstract

Neurodegenerative diseases are often associated with misfolding and deposition of specific proteins in the nervous system. The prion protein, which is associated with transmissible spongiform encephalopathies (TSEs), is one of them. The normal function of the cellular form of the prion protein (PrP^C) is mediated through specific signal transduction pathways and is linked to resistance to oxidative stress, neuronal outgrowth and cell survival. In TSEs, PrP^C is converted into an abnormally folded isoform, called PrP^Sc, that may impair the normal function of the protein and/or generate toxic aggregates. To investigate these molecular events we performed a two-dimensional gel electrophoresis comparison of neuroblastoma N2a cells expressing different amounts of PrP^C, and eventually infected with the 22L prion strain. Mass spectrometry and peptide mass fingerprint analysis identified a series of proteins with modified expression. They included the chaperones Grp78/BiP, protein disulfide-isomerase A6, Grp75 and Hsp60 which had an opposite expression upon PrPC expression and PrP^Sc production. The detection of these proteins was coherent with the idea that protein misfolding plays an important role in TSEs. Other proteins such as calreticulin, tubulin, vimentin or the laminin receptor had their expression modified in infected cells which was reminiscent of previous results. Altogether our data provide molecular information linking PrP expression and misfolding which could be the basis of further therapeutic and pathophysiological research in this field.

Introduction

Transmissible spongiform encephalopathies (TSEs), also called prion diseases, are fatal neurodegenerative disorders including Kuru, Creutzfeldt-Jakob disease (CJD), Gerstmann-Sträussler-Scheinker syndrome and fatal familial insomnia in humans, scrapie in sheep and goats and bovine spongiform encephalopathy in cattle.1,2 The physiological function of the cellular prion protein, PrP^C, is still elusive but seems linked in various models through specific signal transduction pathways with resistance to oxidative stress, neuronal outgrowth or cell survival.3 PrP^C expression is necessary for the development of TSEs as demonstrated by the resistance of PrP knock-out animals to prions, while the overexpression of the protein accelerates the disease.4 In TSEs, this protein is converted into an abnormal isoform named PrP^{Sc 2} that accumulates in the central nervous system. This conversion could impair PrP^C function and/or generate toxic aggregated entities like those present in other neurodegenerative disorders. The exact involvement of these gain- or loss-of-function mechanisms in prion disease pathogenesis is still under debate.

Few proteomics studies have been made in cultured cells for investigating molecular pathogenesis of prion disorders.5–8 Proteomic differential protein expression analysis represents however an interesting approach that could complete previous genomic studies.9–12 In this article we performed a proteomic investigation in an integrated cellular model where both differential PrP^C expression and conversion could be obtained. We relied on a PrP^C tetracycline-inducible expression system that had been previously established in the murine neuroblastoma cells N2a.13 In these inducible cells, named iN2a, PrP^C expression levels can be controlled by varying the concentration of the tetracycline-derivative doxycycline acting as effector. For this work, we successfully infected these cells with the 22L prion strain. We then performed a proteomic two-dimensional gel electrophoresis (2DE) comparison of iN2a cells expressing different concentrations of PrP^C and either infected or non-infected. Differential proteins were identified by mass spectrometry using a peptide mass fingerprint analysis. We could identify several proteins showing a modified expression pattern in relation with a PrP^C expression and/or PrP^Sc production. Some proteins had an opposite behavior in these two situations suggesting a relationship between the physiological function of PrP^C and its conversion.

Results

Cellular model and PrP^C/PrP^Sc expression.

In this study, we used a murine neuroblastoma cell line (iN2a) model to investigate the proteomic consequences of both PrP^C expression and prion infection. This approach was original as it relied on an integrated cellular model. We paid special attention to analyze cells with the same number of sub-passages and cultured in the same medium. The tetracycline-inducible expression system responsible here for PrP^C overexpression has been used in other 2DE proteomics studies of cultured cells where it did not modified in a detectable way proteome analysis.17 As expected from previous work,13 iN2a cultured in the presence of doxycycline (iN2a+) showed an increased expression of the three major PrP^C bands that corresponded to un-, mono- and diglycosylated isoforms of the protein (Fig. 1A). A concentration of 200 ng/ml of doxycycline was chosen as it gave a stable and robust PrP^C expression over repeated passages without modification of the western blot profile suggesting that PrP^C trafficking/biology was not affected by the overexpression. These iN2a+ cells were susceptible to the 22L prion strain (Fig. 1B). In fact, these cells named: iN2a+22L, accumulated significant amount of PrP^Sc by the third passage following infection and thereafter (up to 20 passages at least, data not shown). Interestingly, even though tetracycline compounds have been identified as potent anti-prion molecules,18 the amount of doxycycline (<0.5 µM) that we used did not prevent in our paradigm the accumulation of PrP^Sc by the cells (Fig. 1B).

Two-dimensional electrophoresis (2DE), selection and identification of spots.

Consecutive lysates of iN2a/iN2a+/iN2a+22L cultures were analyzed by 2DE as detailed in the Materials and Methods section. An iN2a+22L gel that had the maximum number of detected spots (Fig. 2) was used as the reference gel when using the Melanie 5.0 quantitation software. 544 protein spots were detected in this gel (Suppl. Table 1). The matching of this gel to the other gels generated raw data, which were the basis for the statistical analysis. Spots that had a differential expression between iN2a, iN2a+ and iN2a+22L cells, as well as spots with the same expression localized in different sections of the gel—to have spots of references—were selected for mass spectrometry identification. A total of 65 protein spots were eventually identified (Suppl. Table 2 and Table 1). A good correlation between the observed and the theoretical pI and molecular weight (MW) standard loaded on a gel was observed. For some spots the same identification was found corresponding therefore to post-translational modified isoforms of the same protein (e.g., calreticulin, alpha enolase, lactate dehydrogenase). Classification of the identified proteins in different functional blocks6 (Fig. 3A) revealed, as often found in 2DE studies,15,19,20 that many of them belonged to the energetic metabolism (41.5%), followed by the protein structure block (27.7%), then translation-mRNA processing (13.8%), cytoskeleton (10.7%), proteolysis (6%), transport and signal transduction blocks (1.5%). The protein distribution based on the cellular localization (Fig. 3B) showed, as expected for this type of 2DE analysis with urea lysis buffer, that 58.4% of the proteins were localized in the cytoplasm, 12.3% in the nucleus, 9.2% in mitochondria and the endoplasmic reticulum, 6% in the cytoplasm and nucleus, 2% on the membrane and 1.5% in the mitochondria and nucleus. Identified proteins were sorted in eight groups (A to H) based on their differential expression between iN2a, iN2a+ and iN2a+22L cells (Table 1). Induction of PrP expression resulted in the decreased expression of nine proteins (groups A and B). Eight proteins (groups C–E) had their expression increased following PrP^C overexpression. Prion infection resulted in the decreased expression of seven proteins (groups C and F) and the increased expression of 22 (groups A, D and G). Among these 22 proteins, 11 increased between both iN2a or iN2a+ and infected iN2a+22L. Some of these differential expressions were illustrated on the Figure 4A (calreticulin, ATP synthase, lactate dehydrogenase and voltage-dependent anion-selective channel protein). Importantly, 2DE allows the detection of several post-translationally modified isoforms of a same protein (after phosphorylation, glycosylation…) which expression could then vary differently. The western blot analysis of PDIA6, tubulin and vimentin (Fig. 4B) confirmed variations observed on 2DE. However, quantitation of the bands using the “ImageJ” software (not shown) confirmed the visual indication that differences were lower than those observed on 2DE, especially for tubulin and vimentin. This might be in relation with the non-linearity of the western blot, as well as, with the incapacity of 1D gels to differentiate isoforms as 2DE.

Discussion

Proteomic profiling and differential protein expression analyses in the prion field were performed in a small number of studies on experimental mice and cellular models,5–8,21,22 or on biological fluids in order to find new diagnosis biomarkers.23,24 Work focused on identifying PrP partners has been also conducted on purified and recombinant molecules.25–27 In a study similar to the one presented here, Chich et al. compared GT1 cells chronically infected with prions to control cells6 while Biaisini and Massignan5,8 reported interesting results in cultured cells using a 2D proteomic approach, but they focused on the impact of mutated PrP rather than on its conversion into PrP^Sc. The number of proteins identified in common in the different studies is limited which could be easily explained by the different cellular models used and by distinct paradigms. Importantly in our model, PrP^C induction and infection was obtained in the same cell clone with a parallel analysis of the infected cells, while in Chich et al.6 a comparison of control and chronically infected subclones was undertaken. Two recent publications analyzed using 2DE gels the influence of PrP expression on the proteome of mice21 and cultured cells.7 The latter work focused mainly on HEK 293 cells and revealed the modification of proteins involved in cell death and in response to oxidative stress which was reminiscent of our results. The other interesting study did not identify significant differential proteins between brain homogenates of Prnp^−/− and Prnp^+/+ mice. It is however difficult to compare these results with ours as the starting material (tissue) and the paradigm (transgenic animals) is very different. Finally, the recent study of Moore et al.22 on 22L-infected brain homogenates did not report protein specifically associated with PrP^Sc, suggesting that the selection of our candidates related to a metabolic (rather than to a physical) effect of this abnormal isoform.

Genomic investigations of cells expressing or not PrP^C or after prion infection have also been realized.9–12 Comparison of the list of differential genes generated in these studies with our differential proteins was however not informative as it is known that such global comparison between genomics and proteomics are often disappointing. In addition, a recent work concluded in a transcriptional stability of cultured cells upon prion infection,28 which was in discrepancy with previous works as a possible result of differences in experimental stringency of the study design to minimize genetic drifts. Genomic investigations have been also conducted on brain tissues, for example on cattle during the courses of TSEs.29 Comparison with our data was also difficult in these cases since these studies evaluated a global pathophysio-logical tissue response, and not only that of prion-infected cells.

To evaluate the interest and the relevance of our data, we therefore focused on proteins that have already been involved in prion biology. A first group of interesting proteins was represented by chaperones molecules which have been already identified as differential proteins in prion infected cells.30 These molecules assist protein folding and handle misfolded polypeptide chains by breaking up aggregates and assisting in the refolding process.31 These proteins were often identified in whole proteome studies due to their high representation in 2D gels.19,20 The differential expression of these chaperones was interesting since prion conversion is believed to be associated with protein misfolding (this is particularly well documented in yeast).19,20 In our study five chaperones (Grp78/BiP, Pdia6, Grp75/ Hspa9, Hsp60/chaperonin, Hsp90B) had their expression decreased along with PrP^C induction and/or increased following prion infection. This could be in relation with PrP^C acting as a protector of cellular stress while its misfolding conversion could affect this physiological function. Several of these chaperones (or their close isoforms) have been already identified as important players in prion replication, both in vitro and in cell culture. For example, Grp78/BiP bound to mutated PrPs and was induced by prion infection.32 Grp58, which corresponds to a protein disulfide-isomerase closely related to Pdia6 (84% of homology), also followed closely the formation of PrP^Sc at all stages of the disease in different brain areas in mice and in scrapie infected N2a.32 In addition Grp58 and PrP were shown to interact by co-immunoprecipitation and inhibition of the chaperone with small interfering RNA led to a significant enhancement of PrP^Sc toxicity.32 As a matter of fact, the role of heat shock proteins (Hsp) in prion response (for our study Hspa5, Hspa9, Hsp60, Hsp90B) has been put forward in many studies.32–37 Some of these molecules could be associated with PrP26,27 as shown in particular for Hsp60,37 or be part of the stress response in relation with the oxidative stress resulting from prion propagation.38 We also observed that isoforms of two additional chaperones were under-expressed in infected cells: calreticulin and peptidyl-prolylcis-trans isomerase A (Ppia). Calreticulin promotes correct glycoprotein synthesis, supports quality control and it was shown that it binds a specific hydrophobic polypeptide stretch in PrP.39 Modification of PrP folding during prion infection could explain the low expression of calreticulin, which might be a new therapeutic target of TSEs, by restoring a normal PrP folding along with its glycosylation. Ppia, also called cyclophilin A, has been already implicated in the metabolism of PrP which contains many proline residues. Inhibition of Ppia activity by cyclosporine A resulted in the formation of aggresomes containing PrP40 that were associated to caspase activation and apoptosis. These structures were also detected in prion-infected cells34 and in fact they could be linked to the decreased expression of Pdia that we observed. Aggresomes with PrP can also result from the inhibition of the proteasome which was involved in PrP degradation.41,42 Indeed, we detected an increased expression of the alpha 2 major proteasome sub-unit, which could be in relation with PrP^Sc production.

We also noticed that five cytoskeleton proteins: vimentin, tubulin beta, actin beta, stomatin-like protein 2 and peripherin had their expression decreased following PrP^C induction and/or increased after infection. Vimentin is a member of the intermediate filaments family and a component of aggresome linked to prion replication as mentioned above.34 PrP has been also identified as an inhibitor of microtubule assembly by inducing formation of stable tubulin oligomers43 while actin was involved in yeast prion aggregation.44 Modification of cytoskeleton upon PrP expression may also reveal a role of the protein in cell morphology.45

As often in 2DE differential analysis, proteins involved in energy metabolism were detected. In our case, the most remarkable observation was a clear increase upon prion infection of several proteins such as: pyruvate kinase, alpha enolase, aldolase, glyceraldehyde-3-phosphate dehydrogenase, ATP synthase or lactate dehydrogenase. Overexpression of these enzymes may well relate to the increased requirement of both energy and protein synthesis pathways upon PrP expression or conversion. It is also possible that PrP interacts with some of these proteins and in particular with aldolase as detected by far-western immunoblotting.25 Interestingly, in the latter study, heterogeneous nuclear ribonucleoproteins have also been selected as PrP partners and some of these proteins had their expression modified in our study which was therefore reminiscent of the possible role of the protein in RNA trafficking and metabolism.46

Finally, we could observe an increase of the 37 kDa laminin receptor (Rpsa) upon infection. This result was consistent with previous work47,48 and confirmed the importance of this protein that could serve as a prion receptor. The Stress-induced-protein 1, which was identified as an important partner of PrP49, had its expression not modified by either PrP expression or conversion. The recent article of Massignan et al.,8 which investigated in 2DE the molecular alterations induced by expression of mutant PrP in N2a cells, identified 11 proteins (out of 42) that were also detected in our study. Importantly, many varied in the same manner in both studies (in iN2a: hspa, peripherin, fructose aldolase; in iN2a+22L: heterogenius nuclear ribonucleoproteins L, pyruvate kinase, enolase, lactate deshydrogenase, voltage-dependant anion-selective channel 1). This suggested that the impact of mutated PrPs is analogous to that of genuine PrP^Sc.

Materials and Methods

Culture and prion infection of N2a cells.

Generation of the murine inducible N2a neuroblastoma cell line (N2a-rtTA-74) stably transfected with the tetracycline-controlled transactivator and the murine PrP gene under the control of the transactivator-responsive promoter is described elsewhere.13 To simplify the nomenclature, we referred to these cells as “iN2a” in the manuscript. They were cultured in DMEM with glutamax, 1 mM sodium pyruvate and 1% L-glutamine supplemented with 10% heat-inactivated fetal calf serum in an atmosphere of 5% CO², 95% air and collected at 80% confluence for protein analysis. They were cultured in the presence of doxycycline to induce PrP^C expression. In this case, we referred them as “iN2a+.” Prion infection of iN2a+ cells was realized using the 22L brain homogenates as described before.14 Briefly, subconfluent cultures of iN2a+ (induced for 3 passages) were incubated for 4 hr with 0.1% of 22L brain homogenate diluted in Opti-MEM. Fresh complete medium was then added overnight and the cells were split at 1/3 thereafter. The infected status of the cells was assessed by proteinase K digestion analysis followed by western blot detection as described previously.14 22L prion infected iN2a+ cells were referred as “iN2a+22L.”

Whole cell extract for 2DE analysis.

2 × 10⁶ cells at 80% of confluence were washed twice with PBS containing a cocktail of 0.1% protease and 0.1 mmol/L phosphatase inhibitors (P8340 and P6508, Sigma respectively) and lysed in 400 µL of a 2DE lysis buffer (urea 8 M, thiourea 1 M, Chaps 4.8%, dithiothreitol 50 mM). 1% Spermin 24 mM (Fluka 85588) was then added for 1 h at room temperature and the sample centrifuged 1 h at 20,000 g to precipitate DNA.15 Supernatant were then collected and stored at −80°C until use. Protein concentration of these lysates was determined using the PlusOne 2-D Quant Kit (GE Healthcare) following the supplier recommendation. Extracts were prepared at the same time for control and infected cells.

2D-Electrophoresis.

The following conditions for 2DE resulted from a previous study15 and adapted to murine N2a cell extract (not shown). For the first dimension, 20 µg of proteins per sample were added to 250 µL of rehydration buffer (9.8 M urea 4% CHAPS 50 mM DTT and 0.5% IPG buffer 3–10). IPG strips (13 cm), covering a pH range from 3–10 were rehydrated with this solution during 9 h at 20°C covered by low viscosity paraffin oil. For focalization, the following voltage/time profile was used: 30 V for 3 h, 200 V for 2 h, 1,000 V for 1 h, 3,000 V for 1 h, a gradient between 3,000 V and 8,000 V during 2 h and 8,000 V for 7 h. A total of 75,000 v.h was used. Focused strips were frozen at −20°C. For the second dimension, strips were equilibrated for 30 min in 6 M urea, 30% glycerol, 2% SDS, 50 mM Tris pH 8.8, 1% DTT and then for an additional 30 min in the same solution except that DTT was replaced by 5% iodoacetamide. After equilibration, proteins were separated in the second dimension by an SDS-PAGE method using 12% acrylamide gel with a ratio of acrylamide/bisacrylamide of 37.5:1.

Identification of protein expression and statistical test.

Gels were stained with a silver nitrate procedure16 and scanned at 300 dots per inch using the Labscan 3 software (GE Healthcare) after a procedure of calibration using the kaleidoscope LaserSoft Imaging (Kodak Ref: R020123). Spot detection and quantitation were performed with Melanie 5.0 software. The volume of each spot (integrated optical density) was calculated as the product of spot area and spot intensity. To take into account experimental variations, 2DE gels were normalized to the volume of all spots detected. Each gel was matched with others using at least ten landmarks per pairs and a minimal percentage of matches of 70% was obtained between each pairs. The reference gel used was that of the iN2a+22L cells. The experimental molecular weight (MW) and iso-electric point (pHi) were obtained based on the migration of a 2D protein standard (Bio-Rad, Richmond, CA, USA) spiked into a whole iN2a extract (not shown). Four to seven replicates with independent samples were performed to ensure reproducibility of the results (Suppl. Table 1). For comparison, the iN2a+22L gel was used as reference. Monovariate statistical analysis (Mann-Whiteney test) was performed using Tanagra software version 1.4.36.

Protein isolation and identification by mass spectrometry.

Protein spots were excised from either silver or PageBlue stained 2D gels. In the latter case the gel was ran with 300 µg of proteins. Spots were washed in 15 µL of 100 mM NH₄HCO₃ for 10 min. After addition of 15 µL of acetonitril and incubation for 10 min, the supernatant was removed and the procedure repeated. After 5 min in a centrivap concentrator, spots were re-hydrated in 10 µL of trypsin solution (15 ng/µL, Promega) and digested overnight at 25°C in 10 µL of 100 mM NH₄HCO₃ 5 mM CaCl₂ buffer. The tryptic peptides were extracted in a two steps procedure: the first step was composed of addition of 10 µL of 100 mM NH₄HCO₃ followed by 10 min of 10 µL acetonitril. This step was repeated twice and the supernatants were pooled. The second step was an incubation of 10 min with 10 µl of 5% formic acid and an addition of 10 µl of acetonitril for 10 min. This step was repeated twice and the supernatants were pooled with those from the previous step then dried in the centrivap concentrator. The resulting pellets were put in 20% formic acid solution and desalted using millipore C18 columns.

Analyses were performed using an UltraFlex I MALDI TOF mass spectrometer (Bruker Daltonics, Bremen, Germany) in the reflectron mode with a 26 kV accelerating voltage and a 50 ns delayed extraction. Mass spectra were acquired manually or automatically using the AutoXecute™ module of Flexcontrol™ (Bruker Daltonics) (laser power ranged from 22–85%, 600 shots). Spectra were analyzed using FlexAnalysis™ software (Bruker Daltonics) and calibrated internally with the autoproteolysis peptides of trypsin (m/z 842,51; 1045,56; 2211,10). Peptides were selected in the mass range of 900–3,000 Da.

Peptide Mass Fingerprint identification of proteins was performed by searching against the Mus_musculus entries of either SwissProt and/or TrEMBL databases (www.expasy.ch) and by using the Mascot v2.2 algorithm (www.matrixscience.com) with trypsin enzyme specificity and one trypsin missed cleavage. Carbamidomethyl was set as fixed cystein modification and oxidation was set as variable methionine modification for searches. A mass tolerance of 50 ppm was allowed for identification. Matching peptides with one missed cleavage were considered as pertinent when there were two consecutives basic residues or when arginine and lysine residues were in an acidic context. Mascot scores higher than 60 were considered as significant (p < 0.05) for SwissProt and TrEMBL databases interrogation. These MALDI-TOF analyses were performed on the “Plate-forme de Protéomique Fonctionnelle” (CNRS/INSERM, Montpellier, France).

Expasy proteomics server (www.expasy.org), online Mendelian Inheritance in Man, OMIM™, McKusick-Nathans Institute for Genetic Medicine, Johns Hopkins (Baltimore, MD) and National Center for Biotechnology Information, National Library of Medicine (Bethesda, MD), 2000 (www.ncbi.nlm.nih.gov/omim/) and the Gene Ontology database (www.geneontology.org) using the fatigo tool (www.fatigo.org) were also used to complete information.

Western blot analysis.

Sample migration and transfer on a PVDF membrane were performed as recommended by the supplier using the NuPAGE system (including buffers and Bis/Tris 12% gels) from Invitrogen. PVDF membranes were blocked for 1 h in 5% (w/v) nonfat dry milk in PBS-T (1% Tween-20 in PBS) and incubated for 90 min with 1/500 dilution of the following primary antibodies: PDI (SPA 891D, Stressgen), Tubulin beta (T8660, Eurogentec) and Vimentin (clone V9, Dako). After several washes in PBS-T, the secondary antibody anti-mouse IgG coupled to HRP from Jackson was incubated for 90 min (1/25,000) and after washes, the signal was revealed using enhanced chemiluminescent (ECL) (SuperSignal West Pico, Ref: 34078) from Pierce using a camera system (ChemiDoc XRS from Bio-Rad).

Conclusion

Both increased expression of PrP^C and conversion into PrP^Sc in N2a cells induced significant and partially opposite changes in the proteome. Among the 65 identified proteins, many chaperones, enzymes of the energetic pathway, as well as cytoskeleton proteins had their expression modified. These results were mostly coherent with previous findings and knowledge of prion biology. Finally, we observed a very interesting opposite expression variation trend of proteins upon PrP^C expression and conversion suggesting that the infection rendered PrP^C less available for molecular partners and/or to fulfill its normal cellular function.

Abbreviation

PrPC	=	cellular prion protein
PrPSc	=	scrapie prion protein
N2a	=	neuroblastoma 2A cell line
TSE	=	transmissible spongiform encephalopathy
iN2a	=	inducible N2a
2DE	=	two-dimensional gel electrophoresis

Figures and Tables

Figure 1 Western blot of the cell extracts after PrP^C induction & infection. (A) iN2a cells were cultured for three days with increasing amounts of doxycycline. Cells were lysed at 80% of confluence and equal amounts of protein were analyzed by western blotting for PrP^C using the antibody SAF32. (B) iN2a cultured for three passages with 200 ng/mL of doxycycline (iN2a+) were infected with 22L brain prion homogenate as detailed in the Materials and Methods section. After passage 3 or 5, control (Ctrl) and infected cells (22L) were analyzed for PrP^C and PrP^Sc expression (PK⁻ and PK⁺). Infected iN2a+ cells (iN2a+22L) accumulated significant amounts of PrP^Sc.

Figure 2 2DE reference gel of iN2a cells. iN2a cell extract were separated using 2DE electrophoresis in a dry strip pH 3–10 for the first dimension, a 12% SDS-PAGE for the second dimension and silver stained. The identification of proteins, noted with their ID number (Suppl. Tables 1 and 2), was performed by peptide mass fingerprints after trypsin digestion and MALDI-TOF on Coomassie or silver stained spots.

Figure 3 Distribution of the identified proteins per functional blocks (A) and cellular origin (B). (References in Suppl. Table 2.)

Figure 4 Illustration of protein differential expression. (A) Regions of 2DE silver stained gel of the different cell types illustrating the variation of calreticulin, ATP synthase, lactate dehydrogenase and voltage-dependent anion-selective channel protein. (B) Western blot detection after 1D gel electrophoresis of PDIA6, tubulin beta and vimentin in iN2a, iN2a+ and iN2a+22L. Numbers in parenthesis refer to protein ID numbers (Suppl. Tables 1 and 3).

Table 1 Table of identified proteins (spot ID, gene, accession number from UniprotKB database, name and functional group) sorted in eight groups (A-H) based on the fold expression ratio iN2a+/iN2a and iN2a+22L/iN2a+

Group	Spot ID	Gene	Accession number	Protein	iN2a+/iN2a fold ratio	t-test	variation	iN2a+22L/iN2a+ fold ratio	t-test	variation	Fonctional group
A	200	Hspa5	P20029	Grp78 / BiP (Glucose regulated protein 78kDa / heat shock 70kDa protein 5)	−1,50	0,029		1,52	0,018		protein structure, modification & regulation
A	305	Pkm2	P52480	Pyruvate kinase isozyme M2	−3,05	0,016		5,16	0,032		energy metabolism
A	325	Prph	P15331	Peripherin	−1,69	0,016		1,88	0,001		Cytoskeleton
A	330	Tubb5	P99024	Tubulin beta-5 chain	−2,00	0,003		1,80	0,025		Cytoskeleton
A	393	Pdia6	Q922R8	Pdia6 (Protein disulfide-isomerase A6)	−2,00	0,020		2,55	0,013		protein structure, modification & regulation
A	432	Vim	P20152	Vimentin	−2,50	0,095		6,13	0,015		Cytoskeleton
B	223	Hspa9a	P38647	Grp75 / Hspa9 (Stress-70 protein, heat shock protein 9A)	−1,64	0,047		1,50	0,075	-	protein structure, modification & regulation
B	323	Hspdl	P63038	Hsp60 / chaperonin (heat shock 60kDa protein 1)	−1,88	0,047		1,14	0,294	-	protein structure, modification & regulation
B	456	Actb	P60710	Actin beta	−1,45	0,013		1,33	0,162	-	Cytoskeleton
C	595	Vdad	Q60932	Voltage-dependent anion-selective channel prot1	1,38	0,014		−1,94	0,005		protein structure, modification & regulation
D	431	Eno1	P17182	alpha enolase	1,47	0,009		1,33	0,015		energy metabolism
D	524	Stoml2	Q99JB2	Stomatin-like protein 2 (SLP-2)	1,45	0,029		2,71	0,014		cytoskeleton
E	486	Aldoa	P05064	Fructose biphosphate Aldolase	1,64	0,018		1,12	0,293	-	energy metabolism
E	528	Hrnpa3	Q8BG05	heterogeneous nuclear ribonucleoprotein A3	1,35	0,034		−1,11	0,476	-	translation-mRNA processing
E	546	Gapdh	P16858	Glyceraldehyde-3-phosphate dehydrogenase (GAPDH)	1,24	0,014		−1,20	0,066	-	energy metabolism
E	681	Psma2	P49722	Proteasome subunit alpha type2	4,96	0,003		−1,72	0,130	-	Proteolysis
E	719	Pebpl	P70296	Phosphatidylethanolamine binding protein	1,46	0,042		−1,45	0,067	-	protein structure, modification & regulation
F	239	Calr	P14211	Calreticulin	−1,23	0,163	-	−3,05	0,004		protein structure, modification & regulation
F	240	Calr	P14211	Calreticulin	1,20	0,283	-	−5,90	0,004		protein structure, modification & regulation
F	242	Calr	P14211	Calreticulin	1,38	0,182	-	−6,66	0,006		protein structure, modification & regulation
F	284	Hnrnpk	P61979	Heterogeneous nuclear ribonucleoprotein K	−1,10	0,278	-	−3,50	0,349		translation-mRNA processing
F	478	Aldoa	P05064	Fructose biphosphate Aldolase	1,23	0,060	-	−1,60	0,009		energy metabolism
F	766	Ppia	P17742	Peptidyl-prolyl-cis-trans isomerase A	−1,11	0,310	-	−1,97	0,038		protein structure, modification & regulation
G	145	Hsp90ab1	P11499	Heat shock protein(HSP90B)	−1,37	0,154	-	1,67	0,047		protein structure, modification & regulation
G	244	Hnrnpl	Q8R081	heterogeneous nuclear ribonucleoprotein L	−1,26	0,234	-	2,44	0,053		translation-mRNA processing
G	262	Tcl1b1	P56480	ATP synthase beta chain, mitochondrial precursor			-	>2	<0.001		energy metabolism
G	263	Tcl1b1	P56480	ATP synthase beta chain, mitochondrial precursor			-	>2	<0.01		energy metabolism
G	331	cct5	P80316	T-complex protein 1 epsilon (TCP1)	−1,13	0,305	-	1,94	0,017		protein structure, modification & regulation
G	416	Eno1	P17182	alpha enolase	−1,31	0,241	-	3,68	0,007		energy metabolism
G	425	Eno1	P17182	alpha enolase	−1,07	0,300	-	1,99	0,001		energy metabolism
G	426	Eno1	P17182	alpha enolase	−1,01	0,489	-	2,11	0,009		energy metabolism
G	474	Rpsa	P38983	Laminin receptor 40Sribosomal protein SA	−1,04	0,404	-	1,63	0,034		translation-mRNA processing
G	525	Hrnpa3	Q8BG05	Heterogenousnuclear ribonucleoprotein A3			-	>2	<0.01		translation-mRNA processing
G	579	Ldha	P06151	Lactate dehydrogenase	1,14	0,277	-	2,23	0,012		energy metabolism
G	581	Ldha	P06151	Lactate dehydrogenase	−1,54	0,082	-	3,68	0,001		energy metabolism
G	629	Actb	P60710	Actin beta	1,16	0,186	-	3,95	0,120		Cytoskeleton
G	647	Pgaml	Q9DBJ1	Phosphoglycerate mutase 1			-	>2	<0.05		energy metabolism
H	139	Khsrp	Q3UOV1	KH-type splicing regulatory protein	1,07	0,434	-	1,71	0,207	-	translation-mRNA processing
H	143	Khsrp	Q3UOV1	KH-type splicing regulatory protein	1,06	0,391	-	1,19	0,319	-	translation-mRNA processing
H	226	Tkt	P40142	Transketolase	−1,05	0,407	-	1,50	0,075	-	energy metabolism
H	236	Calr	P14211	Calreticulin	−1,06	0,399	-	1,15	0,238	-	protein structure, modification & regulation
H	254	Hnmpl	Q8R081	Heterogenousnuclear ribonucleoprotein L	1,13	0,391	-	−1,15	0,053	-	translation-mRNA processing
H	268	STI1	Q60864	Stress-induced-protein 1	−1,03	0,405	-	1,12	0,202	-	protein structure, modification & regulation
H	275	cct6a	P80317	T-complex prot1-zeta (TCP1)	−1,05	0,405	-	1,37	0,096	-	protein structure, modification & regulation
H	332	Lap3	Q9CPY7	Cytosol leu aminopeptidase	−1,51	0,176	-	1,90	0,066	-	protein structure, modification & regulation
H	360	Atp5a1	Q03265	ATP synthase alpha mitoc prec.	1,05	0,457	-	1,37	0,234	-	energy metabolism
H	430	Eno1	P17182	alpha enolase	−1,33	0,069	-	1,28	0,157	-	energy metabolism
H	462	Pgk1	P09411	Phosphoglycerate Kinase	1,40	0,100	-	1,71	0,060	-	energy metabolism
H	536	Gapdh	P16858	Glyceraldehyde-3-phosphate dehydrogenase (GAPDH)	1,22	0,166	-	1,45	0,117	-	energy metabolism
H	538	Gapdh	P16858	Glyceraldehyde-3-phosphate dehydrogenase(GAPDH)	1,20	0,179	-	1,01	0,489	-	energy metabolism
H	541	Laspl	Q61792	LIM & SH3 domain prot1	1,13	0,286	-	−1,03	0,445	-	cytoskeleton
H	543	Npm1	Q61937	Nucleophosmin	1,25	0,062	-	−1,17	0,145	-	transport
H	547	Gapdh	P16858	Glyceraldehyde-3-phosphate dehydrogenase(GAPDH)	1,09	0,258	-	−1,40	0,086	-	energy metabolism
H	584	Ldha	P06151	Lactate dehydrogenase	−1,22	0,226	-	1,18	0,287	-	energy metabolism
H	637	Cacybp	Q9CXW3	Calcyclin-binding prot	1,40	0,120	-	−1,19	0,244	-	proteolysis
H	639	Pgls	Q9CQ60	6-Phosphogluconolactonase(6PG L)	1,08	0,389	-	1,40	0,091	-	energy metabolism
H	641	Rab35	Q6PHN9	Ras-related protein Rab-35	1,16	0,199	-	−1,06	0,431	-	signalisation
H	651	Psma5	Q9Z2U1	Proteasome subunit alpha type 5	−1,09	0,159	-	1,06	0,373	-	proteolysis
H	662	Uch.11	Q9R0P9	5-ubiquitin carboxyterminal hydrolase	−1,06	0,271	-	−1,14	0,129	-	proteolysis
H	663	Tpi1	P17751	Those Phosphate Isomerase	1,23	0,239	-	1,24	0,269	-	energy metabolism
H	664	Tpi1	P17751	Those Phosphate Isomerase	1,20	0,200	-	1,06	0,368	-	energy metabolism
H	665	Gstm2	P15626	GlutathionS-transferase Mu 2	1,22	0,123	-	−1,12	0,267	-	energy metabolism
H	760	Ppia	P17742	Peptidyl-prolyl-cis-trans isomerase A	1,20	0,326	-	1,28	0,256	-	protein structure, modification & regulation
H	762	Ppia	P17742	Peptidyl-prolyl-cis-trans isomerase A	1,35	0,138	-	1,08	0,402	-	protein structure, modification & regulation
H	821	Khsrp	Q3UOV1	KH-type splicing regulatory protein	−1,12	0,365	-	1,61	0,250	-	translation-mRNA processing

Fold ratio above 1.5 or below −1.5, as well as t-test below 0.05 were used as thresholds for the main proteins studied.

Acknowledgements

This work is supported by grants from the “GIS Infections à Prion”, the EU Commission program NEUROPRION (FOOD-CT-2004-506579), the DEFRA project SE2002 and the CNRS. We thank Jacques Grassi and colleagues (CEA Saclay, France) for providing anti-prion antibodies and Patrick Jouin and colleagues from the “Plate-forme de Protéomique Fonctionnelle, IFR3, CNRS-UMR 5203, INSERM-U661” for MALDI-TOF proteomic analysis.