Skip to main content
PMC home page
Molecular Neurodegeneration logoLink to Molecular Neurodegeneration
. 2008 Oct 3;3:14. doi: 10.1186/1750-1326-3-14

Molecular signatures of neurodegeneration in the cortex of PS1/PS2 double knockout mice

Károly Mirnics 1,2,✉, Eric M Norstrom 3, Krassimira Garbett 1, Se Hoon Choi 3, Xiaoqiong Zhang 3, Philip Ebert 1, Sangram S Sisodia 3,✉
PMCID: PMC2569036  PMID: 18834536

Abstract

Background

Familial Alzheimer's disease-linked variants of presenilin (PSEN1 and PSEN2) contribute to the pathophysiology of disease by both gain-of-function and loss-of-function mechanisms. Deletions of PSEN1 and PSEN2 in the mouse forebrain result in a strong and progressive neurodegenerative phenotype which is characterized by both anatomical and behavioral changes.

Results

To better understand the molecular changes associated with these morphological and behavioral phenotypes, we performed a DNA microarray transcriptome profiling of the hippocampus and the frontal cortex of the PSEN1/PSEN2 double knock-out mice and littermate controls at five different ages ranging from 2–8 months. Our data suggest that combined deficiencies of PSEN1 and PSEN2 results in a progressive, age-dependent transcriptome signature related to neurodegeneration and neuroinflammation. While these events may progress differently in the hippocampus and frontal cortex, the most critical expression signatures are common across the two brain regions, and involve a strong upregulation of cathepsin and complement system transcripts.

Conclusion

The observed neuroinflammatory expression changes are likely to be causally linked to the neurodegenerative phenotype observed in mice with compound deletions of PSEN1 and PSEN2. Furthermore, our results suggest that the evaluation of inhibitors of PS/γ-secretase activity for treatment of Alzheimer's Disease must include close monitoring for signs of calpain-cathepsin system activation.

Background

Presenilins (PS) are highly homologous polytopic membrane proteins that play a critical role in intramembranous processing of amyloid precursor proteins (APP), leading to the production of Aβ peptides (for reviews, see [1-4]). Inheritance of mutations in PSEN1 and PSEN2, that encode PS1 and PS2, respectively, cause familial forms of Alzheimer's disease (FAD) [5,6], and do so by elevating the ratio of Aβß42/Aβ40 peptides [7-10]. Hence, it has been argued that FAD-linked PS1 variants cause disease primarily through a gain of function mechanism. However, recent studies have shown that these PS variants also result in a significant loss of γ-secretase function that may critically contribute to the pathophysiology of FAD (for a review, see [11]).

Over the last several years we assessed the gene expression profiles of PSEN1 knockout mice and PSEN1 mutant transgenic animals, and have defined a set of PSEN1-dependent genes [12-15]. However, it is important to point out that due to redundant functions and distributions of PSEN1 and PSEN2 [16,17], cortical PSEN1 ablation in mice results in only a limited phenotype. In contrast, forebrain PSEN1/PSEN2 double KO mice show a strong and progressive neurodegenerative phenotype which is characterized by both anatomical and behavioral changes [11,18]. Although anatomical changes are not apparent at 2 months of age, these mice already show mild memory impairments at this age. The behavioral phenotype progresses with time and the mutant mice begin to exhibit excessive grooming behavior, increased stereotypy in the open field, and reduced latency in the rotarod test at the age of 6 months [18]. The anatomical changes develop over time, and the progressive thinning of cortical layers becomes prominent by the age of 6 months.

To gain a better understanding of presenilin-dependent neurodegeneration in the cortex, we performed an expression profiling of the hippocampus (HC) and frontal cortex (FC) of mice with forebrain ablations of PSEN1 and PSEN2. We used DNA microarrays to analyze the transcriptome at five developmental time points. We chose to examine the temporal nature of gene expression changes because the PSEN1 allele is conditionally deleted by a CamKII-cre allele that promotes recombination of "floxed" loci first in the hippocampus, and then spreads throughout the entire forebrain. We focused our attention on the following questions: 1) what are the gene expression consequences of PSEN1/PSEN2 ablation; 2) do the altered genes share common functional characteristics; 3) how does gene expression change over time as a function of PSEN1/PSEN2 deletion; 4) are the molecular signatures of neurodegeneration similar in the HC and FC and 5) is presenilin-dependent molecular neurodegeneration progressing similarly in FC and HC?

Results

The experimental design and analysis strategy are outlined in Figure 1. Briefly, frontal and hippocampal cortices of PSEN1/PSEN2 KO (PSKO) and matched control animals of different postnatal ages were analyzed by MG_430 oligonucleotide arrays by Affymetrix. An RMA-based normalization was followed by a multi-level analysis that compared the samples based on the genotype, age and brain region.

Figure 1.

Figure 1

Open in a new tab

Experimental Design. The frontal cortical (FC) and hippocampal (HC) transcriptome of PS1/PS2 double-knockout animals (KO) was compared to that of wild-type controls (WT) using Affymetrix oligonucleotide microarrays. The samples from 5 different ages for each microarray were prepared from a pool of 3 animals. Data were GCOS segmented, gcRMA normalized and compared using several experimental paradigms, all employing pairwise comparison statistics.

Gene expression differences regardless of brain region or age

In a genotype-driven analysis we observed a strong transcriptome signature between the PSKO and CNT mice. 113 DNA microarray probesets showed significant gene expression differences (|ALR| > 0.585, p < 0.05). Of these, 41 probes reported underexpression, while 72 showed upregulation in the PSKO animals, suggesting that the removal of the PS genes is characterized by a complex set of transcriptional events (Additional File 1). Two-way hierarchical clustering of the differentially expressed probe sets revealed a separation of samples according to genotype (Additional File 2). As the altered gene expression products performed a wide variety of cellular functions, we subjected this dataset to a pathway analysis based on predefined cellular processes (BioCarta). This analysis revealed that the PSKO animals showed a statistically significant populational downregulation of transcripts related to the GABA pathway and GPCR function, while 12 pathways showed upregulation in the PSKO sample (Table 1). Notably, the increased transcript networks strongly suggest and ongoing inflammation and/or neurodegeneration in the experimental animals (e.g. CALPAIN, TOB1, TGFβ and other related pathways – see Additional File 3 for complete analysis results). This initial analysis was followed by a region*genotype assessment.

Table 1.

Differentially expressed gene groups between the PSKO and CNT mice regardless of age or brain region.

# NAME SIZE ES NES p-val q-val
1 GABAPATHWAY 11 0.68 1.59 0.046748 0.147418
2 AGPCRPATHWAY 10 0.67 1.45 0.019068 0.243600
3 RAC1PATHWAY 21 -0.59 -1.30 0.020121 0.418927
4 D4GDIPATHWAY 10 -0.68 -1.31 0.043478 0.397110
5 ALKPATHWAY 32 -0.55 -1.34 0.014085 0.298667
6 NTHIPATHWAY 19 -0.61 -1.35 0.040936 0.290866
7 TGFBPATHWAY 13 -0.67 -1.42 0.010142 0.163844
8 MCALPAINPATHWAY 22 -0.53 -1.44 0.005848 0.179323
9 INTRINSICPATHWAY 20 -0.58 -1.45 0.020534 0.177983
10 LAIRPATHWAY 10 -0.67 -1.45 0.046185 0.198237
11 VITCBPATHWAY 10 -0.51 -1.45 0.038776 0.228195
12 TOB1PATHWAY 14 -0.73 -1.63 0.004082 0.087297
13 EXTRINSICPATHWAY 12 -0.71 -1.69 0.014614 0.082402
14 NKCELLSPATHWAY 15 -0.50 -1.70 0.025490 0.138997
Open in a new tab

The whole dataset was subjected to pathway analysis with BioCarta using GSEA. Significantly enriched pathways are presented in either direction (positive NES – enriched in CNT; negative NES – enriched in PSKO). Abbreviations: SIZE- number of non-redundant probes in a pathway; ES – enrichment score; NES – normalized enrichment score; p-val – groupwise p value; q-val – groupwise false discovery ratio estimate. Note that only 2 pathways were enriched in the CNT mice (GABA and AGPCR), while the PSKO mice samples were enriched in 12 pathways.

Gene expression differences in the frontal cortex (FC)

In the region*genotype assessment the FC of PSKO and CNT mice reported 73 differentially expressed probesets (|ALR| > 0.585, p < 0.05; Additional File 4). Importantly, the distribution of these expression changes was highly skewed. Of the 73 probesets 70 reported an upregulation (96%), while only 2 probesets were downregulated (4%). The clustering of these data also separated the FC samples according to their proper genotype (Figure 2).

Figure 2.

Figure 2

Open in a new tab

Hierarchical clustering of genes that show differential expression in the FC of PSKO and CNT mice. The numerical data are presented in Additional File 4. Gene probes are clustered in rows (denoted by symbols and probe identifiers), microarrays are clustered in columns (denoted by sample identifiers). Each pixel represents a single, color-coded gene expression value form FC form a PSKO or CNT mouse sample at five developmental ages. Shades of red correspond to the magnitude of expression increase, the intensity of blue corresponds to the magnitude of the reduction in gene transcripts. Note that the frontal cortical PSKO and CNT samples, regardless of developmental age, cluster on different ends of the dendrogram.

Gene expression differences in the hippocampus (HC)

In the region*genotype assessment of the HC of PSKO and CNT mice, we did not observe a dominant downregulation of transcripts. Rather, the HC of PSKO and CNT mice reported an opposite pattern of that seen in the FC: of the 137 probesets reporting an expression difference in HC only 37 (26%) reported an upregulation while 101 (74%) probesets showed an underexpression in the experimental animals (Additional File 5). Notably, the distribution of the HC expression changes was also highly skewed, but in the opposite direction from that observed in the FC. Finally, the clustering of these data in the vertical dimension also separated the HC of the PSKO samples from those of matched controls (Figure 3).

Figure 3.

Figure 3

Open in a new tab

Hierarchical clustering of genes that show differential expression in the HC of PSKO and CNT mice. The numerical data are presented in Additional File 5. Gene probes are clustered in rows (denoted by symbols and probe identifiers), while microarrays are clustered in columns (denoted by sample identifiers). Figure layout similar to that in Figure 2. Note that the frontal cortical PSKO and CNT samples, regardless of developmental age, cluster on different ends of the dendrogram.

Gene expression similarities and differences in the FC and HC of PSKO mice

Although the most significant changes were different in the FC and HC, the overall gene expression patters were very much alike across the two brain regions. The magnitude of change between the PSKO and WT mice (ALR) of the 73 genes probesets that were found differentially expressed in the FC were very highly correlated with the gene expression changes observed in the HC (r = 0.89, p < 0.001) (Figure 4A). Similarly, the 137 gene probesets that showed differential expression in the HC of PSKO and WT mice also showed a correlation with the expression changes for same genes in the FC (Figure 4B). This correlation of the HC to FC correlation was somewhat weaker (r = 0.64, p < 0.01) than that observed for the FC to HC differentially expressed probesets.

Figure 4.

Figure 4

Open in a new tab

HC and FC expression changes are highly correlated. Both plots denote the ALRPSKO-CNT in the HC (X axis) and FC (Y axis). Each blue diamond represents a single, differentially expressed gene probe. Red dashed line denotes linear regression of the dataset. A. PSKO FC samples reported 70 genes differentially expressed form the FC of CNTs. These genes also showed a highly correlated expression pattern in the HC comparison (Pearson r = 0.89, p < 0.001) B. PSKO HC samples reported 53 genes differentially expressed form the HC of CNTs. These genes also showed a highly correlated expression pattern in the FC comparison (Pearson r = 0.67, p < 0.005).

Finally, we observed two important gene families that were differentially expressed both in the FC and the HC (Figure 5). Five members of the cathepsin and five members of the complement gene families showed a progressive, age-dependent overexpression in the PSKO mice. The progression of this overexpression was similar in time course and magnitude across the FC and HC. Furthermore, in addition to the increased transcript levels, two investigated genes, Ctsd and C1q showed the predicted, progressive induction in protein expression on a Western blot in a new set of experimental and control animals (Figure 6).

Figure 5.

Figure 5

Open in a new tab

PS ablation-dependent expression changes in cathepsin and complement transcripts as a function of postnatal age. The expression changes of 5 cathepsin (Ctsc, Ctsd, Ctsh, Ctss and Ctsz) and 5 complement system transcripts (C1qa, C1qb, C1qc, C3ar1 and C4b) were examined in more detail. In both graphs X axis denotes age of mice, while Y axis denotes pairwise expression difference between the PSKO mice and matched WT samples. Each color line represents change in expression over time for a single gene. A) FC. B) HC. Note the similarity of the age-dependent transcript increase in the PSKO animals across the two brain regions.

Figure 6.

Figure 6

Open in a new tab

Age-dependent upregulation of C1q and Ctsd in PS knockout mice. The same nitrocellulose membrane was re-probed for Ctsd, C1q, and Tubulin. Note a progressive, age-dependent upregulation of C1q and Ctsd in the KO mice but not the matched wild-type controls. Tubulin was used as a loading control. Molecular weights of Ctsd species correlate best to active intermediate (48 kD) and mature heavy chain (34 kD).

To determine if this was a true upregulation in the PSKO samples or it represented a failure to downregulate expression levels as part of normal development, we examined the normal developmental expression levels of these genes in the CNT mice (Additional File 6). As the expression levels of all these genes were stable in the tested age range (2–8 months) in both the FC and HC, we can conclude that the observed overexpression is indeed a result of an active transcriptional upregulation in the PSKO brain samples.

Discussion

Over the past few years, we have used gene microarray strategies to examine transcript levels in brains of mice with conditionally inactivated PSEN1 (cPS1 KO) alleles. While these studies have proven informative, redundant function and distribution of PSEN1 and PSEN2 in hippocampus and cortex [16,17] has limited the interpretation of our findings. Indeed, while cPS1KO mice fail to exhibit any neuroanatomical or behavioral alterations [19,20], cPS1KO mice on a PSEN2 KO background show a strong and progressive neurodegenerative phenotype that is characterized by both anatomical and behavioral changes [11,18]. These animals do not exhibit anatomical changes at 2 months of age, yet show mild memory impairments at this age. The behavioral phenotypes progress over time and are paralleled by considerable cortical atrophy and neurodegeneration. In the present study, we performed expression profiling in order to develop an understanding of the mechanism(s) that might mediate these morphological and behavioral observations, and we now offer several novel insights. First, we show that simultaneous ablation of PSEN1 and PSEN2 leads to a wide variety of gene expression changes that progress over time. Second, the frontal cortex and hippocampus are both affected in PSKO brains, albeit by the notable difference that gene expression changes in the FC are characterized by elevated transcript levels, while the HC is mostly characterized by reduced transcript levels. Third, the transcriptome changes suggest a progressive neurodegenerative process with strong immune system activation. Fourth, based on the BioCarta pathway analysis, it appears that GABA-ergic neurons may be a preferential early target of the neurodegenerative events. Fifth, the Complement and Cathepsin systems appear to be critical contributors to neurodegeneration in both the hippocampus and frontal cortex.

One of the most intriguing findings of the manuscript is that transcript repressions dominate in the FC, while transcript inductions are the hallmark of the HC tissue. Although the most prominent presenilin deletion induced transcript changes may be different between these two brain regions, the deletion signature of the FC expression change was strong in HC and vice versa. We interpret these findings that the neurodegenerative events in FC lag behind of those in HC, suggesting that the early stages of degeneration are characterized by a strong, widespread repression of mRNA species. However, as the pathophysiological process proceeds, in addition to the transcript repression, a de novo inflammation-related transcript induction occurs, which becomes a dominant feature of a gene expression profile in the HC. Alternatively, the differential cytoarchitecture and molecular composition of FC and HC provide a differential framework for the adaptational responses of these two brain regions, and results in a different gene expression profile.

Presenilins associate with Aph1, Pen2 and Nicastrin in a large complex that mediates intramembranous, "γ-secretase" [1] proteolysis of a variety of type-I membrane proteins, including Notch, APP, E-cadherins, N-cadherins, and p75NTR, amongst others (reviewed by [21]). For most of these proteins, γ-secretase-mediated processing results in the generation of intracellular derivatives, termed ICDs, that have been shown to initiate complex signaling cascades, including those involved in cell adhesion, lateral inhibition of cell fate decisions, neurotrophin signaling and cell differentiation [22,23]. It has also become increasingly evident that PS have functions that go beyond their role as the catalytic entity of γ-secretase activity. For example, PS located in the endoplasmic reticulum (ER) and Golgi apparatus regulate calcium homeostasis [24], findings that may be equally relevant for neurodegeneration observed in the PSKO mice. Not surprisingly, with increasing age, the PSKO mice develop striking neurodegeneration of the cerebral cortex and worsening impairments of memory and synaptic function [18]. However, it is important to point out that gene expression changes arise before noticeable anatomical neurodegeneration. The progressive gene expression changes that we observed in both hippocampus and frontal cortex also appear to suggest that the cortical GABA-ergic interneurons may be one of the early targets of neurodegeneration mediated by the ablation of PSEN genes. As the GABA-ergic system has a strong influence on cognitive behaviors [25,26], the expression changes in interneurons are likely to be related to the altered cognitive processes reported in these mice. On the other hand, interneurons have been shown to exhibit enhanced vulnerability to various insults [27]. These events likely result in necrosis-induced microglial activation, accompanied by overexpression of the complement system transcripts, leading to neuroinfammatory processes [28], thus further accelerating the neurodegenerative processes.

The mechanism(s) by which ablation of PSEN genes leads to neurodegeneration are not fully understood, but likely involve several converging pathways. In this regard, our dataset is highly informative: first, we observe a strong and progressive increase in expression of transcripts encoding molecules in the calpain-cathepsin system. These results confirm and expand the previously reported upregulation of Cathepsin S in these mice [29]. Both calpains and cathepsins belong to the papain superfamily of cysteine proteases that are primarily localized in lysosomes and are critical for intracellular protein catabolism. Calpain-mediated extralysosomal release of cathepsins is a critical event in necrosis, and cathepsin inhibitors show strong neuroprotection in models of acute neuronal insults [30,31]. Thus, we propose that neurodegeneration in these mice is a result of a progressive neuronal calpain-cathepsin system activation over time. How does loss of PS function lead to induction of the calpain-cathepsin system? We offer two proposals that are not mutually exclusive. In the first, we suggest that in the absence of PS/γ-secretase activity, extremely high levels of membrane-tethered stubs derived from type 1 membrane proteins hyperaccumulate in endosomal-lysosomal compartments, hence "saturating" those proteases that would otherwise be necessary for maintaining intracellular homeostasis. In this setting, the induction of the calpain-cathepsin system would thus reflect a compensatory mechanism. This hypothesis is consistent with the model that a function of PS/γ-secretase is to serve as a membrane-bound proteosome that promotes intramembranous proteolysis in order to enhance clearance of membrane-tethered stubs derived from ectodomain shedding of type 1 membrane proteins [32]. Indeed, we have shown that cultured mammalian cells expressing dominant-negative PS1 variants harboring mutations at the critical aspartate 257 and 385 residues necessary for γ-secretase activity, exhibit unusual accumulations of distended intramembranous organelles resembling multivesicular bodies that are immunoreactive with antibodies specific for membrane-tethered stubs [33]. The second model to explain our findings is in the absence of PS expression, the cell surface levels of receptors and ion channels in either pre- or postsynaptic membranes is altered in manner that gives rise to inappropriate signaling events and alterations in calcium homeostasis. In support of this notion, we [33] and others [34] have shown that cells that express dominant-negative forms of PS1 or that lack PSEN alleles, respectively, exhibit elevated levels of a variety of type I membrane proteins and their membrane-tethered stubs.

Inhibition of PS/γ-secretase activity has been debated as a promising therapeutic strategy for treatment of Alzheimer's Disease [35,36]. In this context, our results offer a cautionary note and suggest that the preclinical evaluation of such agents should include close monitoring for signs of calpain-cathepsin system activation, and development of a peripheral tissue assays on the complement-cathepsin system expression as informative tools for assessment of potential adverse effects that may also be present is the CNS.

Methods

A. Experimental animals

To generate forebrain-specific PS conditional double knockout (PSKO) mice, we crossed floxed PS1 (fPS1), αCaMKII-Cre transgenic [19,37,38] and PS2-/- [39] mice together to obtain fPS1/fPS1;αCaMKII-Cre;PS2-/- mice. All experimental procedures were reviewed and approved by Institutional Animal Care and Use Committee (IACUC) of the University of Chicago (Protocol #s 71434 and 70958).

B. Sample preparation and hybridization

Hippocampi and frontal cortices were rapidly dissected and frozen on dry ice and stored at -80°C until RNA isolation. Total RNA was isolated using the Trizol reagent. RNA quality was assessed using the Agilent Bioanalyzer. All samples reported an RNA Integrity Number (RIN) > 8.0. Reverse transcription, in vitro transcription and fragmentation were performed according to manufacturer's recommendation http://www.affymetrix.com. FC and HC samples for microarray analysis were generated by pooling RNA from 3 animals from appropriate genotypes and ages. Samples were hybridized onto MG_430 mouse Affymetrix GeneChips. Microarrays were considered for use only if the average 3':5' ratio for GAPDH and actin did not exceed 1:1.2. Segmentation of scanned microarray images was performed by MAS5. Determination of expression levels and scaling were performed using gcRMA in GenePattern [40].

C. Data analysis

Identification of differentially expressed genes

i) Comparison of all KO animals to matched WT regardless of age or brain region. We identified genes as differentially expressed in the PSKO samples showed a pairwise difference > 50% (|ALR| > 0.585) at p < 0.05 to the matched WT controls. In this comparison a matched pairwise comparison eliminates the effects that are due to robust differences in the developmental age and brain region.

ii) Comparison of all HCKO animals to matched HCWT. We identified genes as differentially expressed in the HCKO samples showed a pairwise difference > 50% (|ALR| > 0.585) at p < 0.05 in the matched WT controls. In this comparison a matched pairwise comparison eliminated the effects due to developmental age.

iii) Comparison of all FCKO animals to matched FCWT. The comparison was performed in a similar fashion to that described for the HC samples.

Pathway analyses

These analyses were performed on the whole dataset using GSEA 2.0 [41] and the preset pathways from BioCarta (ref). Enrichment in a pathway was considered significant if it reached a p < 0.01 at a q < 0.05 (FDR < 5%).

Correlations

Correlations were calculated using Pearson r value for the log2 ratios between the two compared conditions.

Clustering

Two-way clustering (sample and gene vectors) was performed on gcRMA generated log2-transformed expression levels using Euclidian distance in GSEA.

Data sharing

The gcRMA normalized microarray dataset, together with the previous PS1 KO and TG datasets [12-15] is available for download from http://mirnicslab.vanderbilt.edu/mirnicslab. Forthermore, the data will be deposiet in a MIAME/MGED format into the NCBI Gene Expression Omnibus database at the time of publication.

D. Western blots

A new set of control and experimental animals was used in this study. 100 ug of cortical brain homogenate was run on 12% SDS-PAGE under reducing conditions, transferred to nitrocellulose and probed for C1q (1:800). Membranes were stripped and re-probed for Cathepsin D (1:10,000) and tubulin (loading control). For each, membranes were blocked with 5% milk in tris-buffered saline with 0.1% tween-20 (TBST), incubated with primary antibody overnight at 4°C, washed and incubated in HRP-conjugated secondary antibody for 1 hour at room temperature. Blots were exposed using ECL substrate and a Chemidoc XRS imager (Bio-Rad). Cathepsin D antibody [42] was obtained from Dr. Ralph Nixon (New York University), while C1q antibody [43,44] was provided by Dr. Andrea J. Tenner (U of California at Irvine). Molecular weights of Ctsd species correlate best to active intermediate (48 kD) and mature heavy chain (34 kD) [45].

Competing interests

SSS discloses that he is a paid Consultant of Neuropharma, Inc., Torrey Pines Therapeutics and Eisai Research Labs Inc, but does not a shareholder in any company that is a maker or owner of a FDA-regulated drug or device.

Authors' contributions

All authors read and approved the final manuscript. KM and SSS designed the study and supervised all steps of the experiments. KM wrote the initial draft of the manuscript. KG carried out the molecular biology part of the studies, SHC and XZ generated the animals and harvested the brain tissue, PE and KM performed the statistical analyses, while EMN performed the Western blotting for C1q and Ctsd.

Supplementary Material

Additional file 1

Gene expression differences between PSKO and CNT mice regardless of age or brain region. A gene probe was differentially expressed if it reported an > 50% change (|ALR| > 0.585) at a pairwise t-test p < 0.05 between all the PSKO and CNT samples. 72 genes were upregulated, while 41 genes showed reduction in the PSKO samples. The probes from this list are clustered in Additional File 2.

Click here for file (23.6KB, pdf)
Additional file 2

Hierarchical clustering of genes that show differential expression between PSKO and CNT mice regardless of age or brain region. The numerical data are presented in Additional File 1. Gene probes are clustered in rows (denoted by symbols and probe identifiers), microarrays are clustered in columns (denoted by sample identifiers). Each pixel represents a single, color-coded gene expression value form FC or HC form a PSKO or CNT mouse sample at five developmental ages. Shades of red correspond to the magnitude of expression increase; the intensity of blue corresponds to the magnitude of the reduction in gene transcripts. Note that the PSKO and CNT samples, regardless of developmental age or brain region, cluster on different ends of the dendrogram.

Click here for file (140.1KB, pdf)
Additional file 3

Detailed information about the enriched pathways in the PSKO or CNTR mice. This file is a composite of GSEA outputs of BioCarta analysis for individual pathways that showed enrichment in either the PSKO or CNTR mice. For detailed description of output format, consult http://www.broad.mit.edu/cancer/software/gsea/doc/GSEAUserGuideFrame.html

Click here for file (1.5MB, pdf)
Additional file 4

Gene expression differences in the frontal cortex (FC) of PSKO and CNT mice. A gene probe was differentially expressed if it reported > 50% change (|ALR| > 0.585) at a pairwise t-test p < 0.05 between the FC of the PSKO and CNT samples. 70 genes were upregulated, while only 3 genes showed reduction in the PSKO samples. The probes from this list are clustered in Figure 2.

Click here for file (15.5KB, pdf)
Additional file 5

Gene expression differences in the hippocampus (HC) of PSKO and CNT mice. A gene probe was differentially expressed if it reported > 50% change (|ALR| > 0.585) at a pairwise t-test p < 0.05 between the HC of the PSKO and CNT samples. 36 genes were upregulated, while 101 genes showed reduction in the PSKO samples. The probes from this list are clustered in Figure 3.

Click here for file (20.6KB, pdf)
Additional file 6

Developmental expression of Cathepsin and Complement family members in FC and HC. X axis denotes postnatal age, Y axis represent RMA-normalized log2 expression, each colored bar corresponds to a different gene probeset. Note that in both the FC and HC the expression of these genes is relatively steady during postnatal development.

Click here for file (15KB, pdf)

Acknowledgments

Acknowledgements

We are thankful to Mrs. A. Bedison and Mr. T. Unger for outstanding technical assistance with sample preparation and handling. The C1q and cathepsin D antibodies we used were a generous gift by Dr. Andrea Tenner (University of California, Irvine) and Dr. Ralph Nixon (Nathan Kline Institute, NY), respectively. This work was supported by NIH R01 AG027854 (SSS, KM) and Ellison Medical Foundation (SSS). Salary support to MK was provided by K02 MH070786.

Contributor Information

Károly Mirnics, Email: karoly.mirnics@vanderbilt.edu.

Eric M Norstrom, Email: emnorstr@uchicago.edu.

Krassimira Garbett, Email: krassimira.garbett@Vanderbilt.Edu.

Se Hoon Choi, Email: alzsci@hotmail.com.

Xiaoqiong Zhang, Email: ssisodia@bsd.uchicago.edu.

Philip Ebert, Email: philandjenebert@gmail.com.

Sangram S Sisodia, Email: ssisodia@bsd.uchicago.edu.

References

  1. De Strooper B. Aph-1, Pen-2, and Nicastrin with Presenilin generate an active gamma-Secretase complex. Neuron. 2003;38:9–12. doi: 10.1016/S0896-6273(03)00205-8. [DOI] [PubMed] [Google Scholar]
  2. Price DL, Tanzi RE, Borchelt DR, Sisodia SS. Alzheimer's disease: genetic studies and transgenic models. Annu Rev Genet. 1998;32:461–493. doi: 10.1146/annurev.genet.32.1.461. [DOI] [PubMed] [Google Scholar]
  3. Selkoe DJ. Presenilin, Notch, and the genesis and treatment of Alzheimer's disease. Proc Natl Acad Sci USA. 2001;98:11039–11041. doi: 10.1073/pnas.211352598. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Van Gassen G, Annaert W. Amyloid, presenilins, and Alzheimer's disease. Neuroscientist. 2003;9:117–126. doi: 10.1177/1073858403252227. [DOI] [PubMed] [Google Scholar]
  5. Rogaev EI, Sherrington R, Rogaeva EA, Levesque G, Ikeda M, Liang Y, Chi H, Lin C, Holman K, Tsuda T, et al. Familial Alzheimer's disease in kindreds with missense mutations in a gene on chromosome 1 related to the Alzheimer's disease type 3 gene. Nature. 1995;376:775–778. doi: 10.1038/376775a0. [DOI] [PubMed] [Google Scholar]
  6. Sherrington R, Rogaev EI, Liang Y, Rogaeva EA, Levesque G, Ikeda M, Chi H, Lin C, Li G, Holman K, et al. Cloning of a gene bearing missense mutations in early-onset familial Alzheimer's disease. Nature. 1995;375:754–760. doi: 10.1038/375754a0. [DOI] [PubMed] [Google Scholar]
  7. Borchelt DR, Davis J, Fischer M, Lee MK, Slunt HH, Ratovitsky T, Regard J, Copeland NG, Jenkins NA, Sisodia SS, Price DL. A vector for expressing foreign genes in the brains and hearts of transgenic mice. Genet Anal. 1996;13:159–163. doi: 10.1016/s1050-3862(96)00167-2. [DOI] [PubMed] [Google Scholar]
  8. Borchelt DR, Ratovitski T, van Lare J, Lee MK, Gonzales V, Jenkins NA, Copeland NG, Price DL, Sisodia SS. Accelerated amyloid deposition in the brains of transgenic mice coexpressing mutant presenilin 1 and amyloid precursor proteins. Neuron. 1997;19:939–945. doi: 10.1016/S0896-6273(00)80974-5. [DOI] [PubMed] [Google Scholar]
  9. Duff K, Eckman C, Zehr C, Yu X, Prada CM, Perez-tur J, Hutton M, Buee L, Harigaya Y, Yager D, et al. Increased amyloid-beta42(43) in brains of mice expressing mutant presenilin 1. Nature. 1996;383:710–713. doi: 10.1038/383710a0. [DOI] [PubMed] [Google Scholar]
  10. Scheuner D, Eckman C, Jensen M, Song X, Citron M, Suzuki N, Bird TD, Hardy J, Hutton M, Kukull W, et al. Secreted amyloid beta-protein similar to that in the senile plaques of Alzheimer's disease is increased in vivo by the presenilin 1 and 2 and APP mutations linked to familial Alzheimer's disease. Nat Med. 1996;2:864–870. doi: 10.1038/nm0896-864. [DOI] [PubMed] [Google Scholar]
  11. Shen J, Kelleher RJ., 3rd The presenilin hypothesis of Alzheimer's disease: evidence for a loss-of-function pathogenic mechanism. Proc Natl Acad Sci USA. 2007;104:403–409. doi: 10.1073/pnas.0608332104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Lazarov O, Robinson J, Tang YP, Hairston IS, Korade-Mirnics Z, Lee VM, Hersh LB, Sapolsky RM, Mirnics K, Sisodia SS. Environmental enrichment reduces Abeta levels and amyloid deposition in transgenic mice. Cell. 2005;120:701–713. doi: 10.1016/j.cell.2005.01.015. [DOI] [PubMed] [Google Scholar]
  13. Mirnics K, Korade Z, Arion D, Lazarov O, Unger T, Macioce M, Sabatini M, Terrano D, Douglass KC, Schor NF, Sisodia SS. Presenilin-1-dependent transcriptome changes. J Neurosci. 2005;25:1571–1578. doi: 10.1523/JNEUROSCI.4145-04.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Mirnics ZK, Mirnics K, Terrano D, Lewis DA, Sisodia SS, Schor NF. DNA microarray profiling of developing PS1-deficient mouse brain reveals complex and coregulated expression changes. Mol Psychiatry. 2003;8:863–878. doi: 10.1038/sj.mp.4001389. [DOI] [PubMed] [Google Scholar]
  15. Unger T, Korade Z, Lazarov O, Terrano D, Schor NF, Sisodia SS, Mirnics K. Transcriptome differences between the frontal cortex and hippocampus of wild-type and humanized presenilin-1 transgenic mice. Am J Geriatr Psychiatry. 2005;13:1041–1051. doi: 10.1176/appi.ajgp.13.12.1041. [DOI] [PubMed] [Google Scholar]
  16. Lee MK, Slunt HH, Martin LJ, Thinakaran G, Kim G, Gandy SE, Seeger M, Koo E, Price DL, Sisodia SS. Expression of presenilin 1 and 2 (PS1 and PS2) in human and murine tissues. J Neurosci. 1996;16:7513–7525. doi: 10.1523/JNEUROSCI.16-23-07513.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Tandon A, Fraser P. The presenilins. Genome Biol. 2002;3 doi: 10.1186/gb-2002-3-11-reviews3014. reviews3014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Saura CA, Choi SY, Beglopoulos V, Malkani S, Zhang D, Shankaranarayana Rao BS, Chattarji S, Kelleher RJ, 3rd, Kandel ER, Duff K, et al. Loss of presenilin function causes impairments of memory and synaptic plasticity followed by age-dependent neurodegeneration. Neuron. 2004;42:23–36. doi: 10.1016/S0896-6273(04)00182-5. [DOI] [PubMed] [Google Scholar]
  19. Feng R, Rampon C, Tang YP, Shrom D, Jin J, Kyin M, Sopher B, Miller MW, Ware CB, Martin GM, et al. Deficient neurogenesis in forebrain-specific presenilin-1 knockout mice is associated with reduced clearance of hippocampal memory traces. Neuron. 2001;32:911–926. doi: 10.1016/S0896-6273(01)00523-2. [DOI] [PubMed] [Google Scholar]
  20. Yu H, Saura CA, Choi SY, Sun LD, Yang X, Handler M, Kawarabayashi T, Younkin L, Fedeles B, Wilson MA, et al. APP processing and synaptic plasticity in presenilin-1 conditional knockout mice. Neuron. 2001;31:713–726. doi: 10.1016/S0896-6273(01)00417-2. [DOI] [PubMed] [Google Scholar]
  21. Cowburn RF, Popescu BO, Ankarcrona M, Dehvari N, Cedazo-Minguez A. Presenilin-mediated signal transduction. Physiol Behav. 2007;92:93–97. doi: 10.1016/j.physbeh.2007.05.053. [DOI] [PubMed] [Google Scholar]
  22. Selkoe D, Kopan R. Notch and Presenilin: regulated intramembrane proteolysis links development and degeneration. Annu Rev Neurosci. 2003;26:565–597. doi: 10.1146/annurev.neuro.26.041002.131334. [DOI] [PubMed] [Google Scholar]
  23. Chen Q, Schubert D. Presenilin-interacting proteins. Expert Rev Mol Med. 2002;4:1–18. doi: 10.1017/S1462399402005008. [DOI] [PubMed] [Google Scholar]
  24. LaFerla FM. Calcium dyshomeostasis and intracellular signalling in Alzheimer's disease. Nat Rev Neurosci. 2002;3:862–872. doi: 10.1038/nrn960. [DOI] [PubMed] [Google Scholar]
  25. Lewis DA, Hashimoto T, Volk DW. Cortical inhibitory neurons and schizophrenia. Nat Rev Neurosci. 2005;6:312–324. doi: 10.1038/nrn1648. [DOI] [PubMed] [Google Scholar]
  26. Paulsen O, Moser EI. A model of hippocampal memory encoding and retrieval: GABAergic control of synaptic plasticity. Trends Neurosci. 1998;21:273–278. doi: 10.1016/S0166-2236(97)01205-8. [DOI] [PubMed] [Google Scholar]
  27. Cataldo AM, Barnett JL, Berman SA, Li J, Quarless S, Bursztajn S, Lippa C, Nixon RA. Gene expression and cellular content of cathepsin D in Alzheimer's disease brain: evidence for early up-regulation of the endosomal-lysosomal system. Neuron. 1995;14:671–680. doi: 10.1016/0896-6273(95)90324-0. [DOI] [PubMed] [Google Scholar]
  28. Bonifati DM, Kishore U. Role of complement in neurodegeneration and neuroinflammation. Mol Immunol. 2007;44:999–1010. doi: 10.1016/j.molimm.2006.03.007. [DOI] [PubMed] [Google Scholar]
  29. Beglopoulos V, Sun X, Saura CA, Lemere CA, Kim RD, Shen J. Reduced beta-amyloid production and increased inflammatory responses in presenilin conditional knock-out mice. J Biol Chem. 2004;279:46907–46914. doi: 10.1074/jbc.M409544200. [DOI] [PubMed] [Google Scholar]
  30. Yamashima T. Implication of cysteine proteases calpain, cathepsin and caspase in ischemic neuronal death of primates. Prog Neurobiol. 2000;62:273–295. doi: 10.1016/S0301-0082(00)00006-X. [DOI] [PubMed] [Google Scholar]
  31. Golstein P, Kroemer G. Cell death by necrosis: towards a molecular definition. Trends Biochem Sci. 2007;32:37–43. doi: 10.1016/j.tibs.2006.11.001. [DOI] [PubMed] [Google Scholar]
  32. Kopan R, Goate A. Aph-2/Nicastrin: an essential component of gamma-secretase and regulator of Notch signaling and Presenilin localization. Neuron. 2002;33:321–324. doi: 10.1016/S0896-6273(02)00585-8. [DOI] [PubMed] [Google Scholar]
  33. Kim SH, Leem JY, Lah JJ, Slunt HH, Levey AI, Thinakaran G, Sisodia SS. Multiple effects of aspartate mutant presenilin 1 on the processing and trafficking of amyloid precursor protein. J Biol Chem. 2001;276:43343–43350. doi: 10.1074/jbc.M108245200. [DOI] [PubMed] [Google Scholar]
  34. Wang H, Luo WJ, Zhang YW, Li YM, Thinakaran G, Greengard P, Xu H. Presenilins and gamma-secretase inhibitors affect intracellular trafficking and cell surface localization of the gamma-secretase complex components. J Biol Chem. 2004;279:40560–40566. doi: 10.1074/jbc.M404345200. [DOI] [PubMed] [Google Scholar]
  35. Micchelli CA, Esler WP, Kimberly WT, Jack C, Berezovska O, Kornilova A, Hyman BT, Perrimon N, Wolfe MS. Gamma-secretase/presenilin inhibitors for Alzheimer's disease phenocopy Notch mutations in Drosophila. Faseb J. 2003;17:79–81. doi: 10.1096/fj.02-0394fje. [DOI] [PubMed] [Google Scholar]
  36. Zhao B, Yu M, Neitzel M, Marugg J, Jagodzinski J, Lee M, Hu K, Schenk D, Yednock T, Basi G. Identification of gamma-secretase inhibitor potency determinants on presenilin. J Biol Chem. 2008;283:2927–2938. doi: 10.1074/jbc.M708870200. [DOI] [PubMed] [Google Scholar]
  37. Tsien JZ, Chen DF, Gerber D, Tom C, Mercer EH, Anderson DJ, Mayford M, Kandel ER, Tonegawa S. Subregion- and cell type-restricted gene knockout in mouse brain. Cell. 1996;87:1317–1326. doi: 10.1016/S0092-8674(00)81826-7. [DOI] [PubMed] [Google Scholar]
  38. Tsien JZ, Huerta PT, Tonegawa S. The essential role of hippocampal CA1 NMDA receptor-dependent synaptic plasticity in spatial memory. Cell. 1996;87:1327–1338. doi: 10.1016/S0092-8674(00)81827-9. [DOI] [PubMed] [Google Scholar]
  39. Steiner H, Duff K, Capell A, Romig H, Grim MG, Lincoln S, Hardy J, Yu X, Picciano M, Fechteler K, et al. A loss of function mutation of presenilin-2 interferes with amyloid beta-peptide production and notch signaling. J Biol Chem. 1999;274:28669–28673. doi: 10.1074/jbc.274.40.28669. [DOI] [PubMed] [Google Scholar]
  40. Gould J, Getz G, Monti S, Reich M, Mesirov JP. Comparative gene marker selection suite. Bioinformatics. 2006;22:1924–1925. doi: 10.1093/bioinformatics/btl196. [DOI] [PubMed] [Google Scholar]
  41. Subramanian A, Kuehn H, Gould J, Tamayo P, Mesirov JP. GSEA-P: A desktop application for Gene Set Enrichment Analysis. Bioinformatics. 2007 doi: 10.1093/bioinformatics/btm369. [DOI] [PubMed] [Google Scholar]
  42. Cataldo AM, Peterhoff CM, Schmidt SD, Terio NB, Duff K, Beard M, Mathews PM, Nixon RA. Presenilin mutations in familial Alzheimer disease and transgenic mouse models accelerate neuronal lysosomal pathology. J Neuropathol Exp Neurol. 2004;63:821–830. doi: 10.1093/jnen/63.8.821. [DOI] [PubMed] [Google Scholar]
  43. Huang J, Kim LJ, Mealey R, Marsh HC, Jr, Zhang Y, Tenner AJ, Connolly ES, Jr, Pinsky DJ. Neuronal protection in stroke by an sLex-glycosylated complement inhibitory protein. Science. 1999;285:595–599. doi: 10.1126/science.285.5427.595. [DOI] [PubMed] [Google Scholar]
  44. Zhou J, Fonseca MI, Pisalyaput K, Tenner AJ. Complement C3 and C4 expression in C1q sufficient and deficient mouse models of Alzheimer's Disease. J Neurochem. 2008;106:2080–2092. doi: 10.1111/j.1471-4159.2008.05558.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Zaidi N, Maurer A, Nieke S, Kalbacher H. Cathepsin D: A cellular roadmap. Biochem Biophys Res Commun. 2008. [DOI] [PubMed]

Associated Data

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

Supplementary Materials

Additional file 1

Gene expression differences between PSKO and CNT mice regardless of age or brain region. A gene probe was differentially expressed if it reported an > 50% change (|ALR| > 0.585) at a pairwise t-test p < 0.05 between all the PSKO and CNT samples. 72 genes were upregulated, while 41 genes showed reduction in the PSKO samples. The probes from this list are clustered in Additional File 2.

Click here for file (23.6KB, pdf)
Additional file 2

Hierarchical clustering of genes that show differential expression between PSKO and CNT mice regardless of age or brain region. The numerical data are presented in Additional File 1. Gene probes are clustered in rows (denoted by symbols and probe identifiers), microarrays are clustered in columns (denoted by sample identifiers). Each pixel represents a single, color-coded gene expression value form FC or HC form a PSKO or CNT mouse sample at five developmental ages. Shades of red correspond to the magnitude of expression increase; the intensity of blue corresponds to the magnitude of the reduction in gene transcripts. Note that the PSKO and CNT samples, regardless of developmental age or brain region, cluster on different ends of the dendrogram.

Click here for file (140.1KB, pdf)
Additional file 3

Detailed information about the enriched pathways in the PSKO or CNTR mice. This file is a composite of GSEA outputs of BioCarta analysis for individual pathways that showed enrichment in either the PSKO or CNTR mice. For detailed description of output format, consult http://www.broad.mit.edu/cancer/software/gsea/doc/GSEAUserGuideFrame.html

Click here for file (1.5MB, pdf)
Additional file 4

Gene expression differences in the frontal cortex (FC) of PSKO and CNT mice. A gene probe was differentially expressed if it reported > 50% change (|ALR| > 0.585) at a pairwise t-test p < 0.05 between the FC of the PSKO and CNT samples. 70 genes were upregulated, while only 3 genes showed reduction in the PSKO samples. The probes from this list are clustered in Figure 2.

Click here for file (15.5KB, pdf)
Additional file 5

Gene expression differences in the hippocampus (HC) of PSKO and CNT mice. A gene probe was differentially expressed if it reported > 50% change (|ALR| > 0.585) at a pairwise t-test p < 0.05 between the HC of the PSKO and CNT samples. 36 genes were upregulated, while 101 genes showed reduction in the PSKO samples. The probes from this list are clustered in Figure 3.

Click here for file (20.6KB, pdf)
Additional file 6

Developmental expression of Cathepsin and Complement family members in FC and HC. X axis denotes postnatal age, Y axis represent RMA-normalized log2 expression, each colored bar corresponds to a different gene probeset. Note that in both the FC and HC the expression of these genes is relatively steady during postnatal development.

Click here for file (15KB, pdf)

Articles from Molecular Neurodegeneration are provided here courtesy of BMC

RESOURCES