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. 2011 Sep 28;22(11):674–684. doi: 10.1007/s00335-011-9356-0

Identification of the translocation breakpoints in the Ts65Dn and Ts1Cje mouse lines: relevance for modeling down syndrome

Arnaud Duchon 1, Matthieu Raveau 1, Claire Chevalier 1, Valérie Nalesso 1, Andrew J Sharp 2, Yann Herault 1,3,4,✉
PMCID: PMC3224224  PMID: 21953411

Abstract

Down syndrome (DS) is the most frequent genetic disorder leading to intellectual disabilities and is caused by three copies of human chromosome 21. Mouse models are widely used to better understand the physiopathology in DS or to test new therapeutic approaches. The older and the most widely used mouse models are the trisomic Ts65Dn and the Ts1Cje mice. They display deficits similar to those observed in DS people, such as those in behavior and cognition or in neuronal abnormalities. The Ts65Dn model is currently used for further therapeutic assessment of candidate drugs. In both models, the trisomy was induced by reciprocal chromosomal translocations that were not further characterized. Using a comparative genomic approach, we have been able to locate precisely the translocation breakpoint in these two models and we took advantage of this finding to derive a new and more efficient Ts65Dn genotyping strategy. Furthermore, we found that the translocations introduce additional aneuploidy in both models, with a monosomy of seven genes in the most telomeric part of mouse chromosome 12 in the Ts1Cje and a trisomy of 60 centromeric genes on mouse chromosome 17 in the Ts65Dn. Finally, we report here the overexpression of the newly found aneuploid genes in the Ts65Dn heart and we discuss their potential impact on the validity of the DS model.

Introduction

Down syndrome (DS) remains the most frequent genetic cause of mental retardation in humans. The genetic basis, trisomy of human chromosome 21 (Hsa21), happens in 1 out of 700–800 births, with a sex ratio of 3 boys for 2 girls (Huret and Sinet 2000) and it is estimated that there are more than 217,800 cases a year throughout the world (Christianson et al. 2006). This is certainly an underestimation considering that this syndrome accounts for approximately 2% of miscarriages (Contestabile et al. 2010). The clinical picture of this syndrome is extremely complex, but the most disabling phenotypes are certainly the intellectual disabilities, with delayed learning and cognition, the appearance of Alzheimer-like disease while aging, the morphological anomalies, the locomotor deficit, and cardiac malformations.

To improve our knowledge of DS, mouse models have been created in recent years. At the genomic level, the long arm of Hsa21 comprises 33.7 Mb of DNA, containing approximately 291 annotated genes in hg19.refGene (Pruitt et al. 2003). Among those genes, 181 have a counterpart in the mouse genome according to the Mammalian Orthology section of the Mouse Genome Informatics (The Jackson Laboratory, Bar Harbor, ME). These genes are located in three syntenic regions localized on different mouse chromosomes (Mmu for Mus musculus). The largest region is found on Mmu16, approximately 37 Mb, including 119 orthologous genes from Lipi to Zfp295. The next segment, including 20 orthologous genes from Umodl1 to Hsf2 bp, is found on Mmu17; and, finally, the most telomeric region, encompassing 42 orthologous genes between Cstb and Prmt2, is on Mmu10. The order and relative orientation of the genes are well preserved between the two species (Dierssen et al. 2009). Several DS murine models were developed over the years using controlled chromosomal engineering techniques (Brault et al. 2006, 2007; Li et al. 2007; Pereira et al. 2009; Yu et al. 2010a, b). Before that, the first models selected carried translocations of specific segments homologous to Hsa21. Briefly, the Ts(16C-tel)1Cje (abbreviated Ts1Cje) was isolated after a targeting experiment aimed at inactivating the Sod1 gene on Mmu16 (Sago et al. 1998). In this line the translocated segment starts upstream of a knockout allele of Sod1 with 67 functional genes and is fused to the telomeric end of Mmu12 (Huang et al. 1997; Pruitt et al. 2003). The Ts(1716)65Dn line (abbreviated Ts65Dn) was isolated after X-ray irradiation, carrying a segment with 122 genes homologous to Hsa21 starting upstream of Mrpl39 and finishing at the telomeric end of Mmu16, which is translocated to a small centromeric part of Mmu17 (Davisson et al. 1990).

With more than 190 references, Ts65Dn has been extensively studied as a DS mouse model. Notably, Ts65Dn mice show deficits in cognition, learning, and memory, plus additional anomalies related to alterations observed in DS people (Reeves et al. 1995). For example, alterations of Ts65Dn cognitive functions have been correlated with changes in the number of neurons (Moldrich et al. 2007; Roper et al. 2006), decrease in long-term potentiation (LTP), and increase in GABAergic inhibition (Belichenko et al. 2004, 2009; Costa and Grybko 2005; Kleschevnikov et al. 2004; Popov et al. 2011). Based on this observation, several treatments were successfully evaluated in Ts65Dn DS models to restore hippocampus-dependent learning (Braudeau et al. 2011; Costa et al. 2008; Fernandez et al. 2007; Moran et al. 2002; Rueda et al. 2008; Salehi et al. 2009).

However, the exact position of the translocation breakpoint between Mmu17 and Mmu16 is not precisely defined in the Ts65Dn. Accordingly, the list of genes located on the centromeric part of Mmu17 in the translocated chromosome was not precisely known. Thus, the effect of this additional trisomy of Mmu17 genes on DS-related phenotypes is difficult to evaluate. In addition, the genotyping is based mainly on genomic quantification, with modest discrimination in the high-throughput process (Liu et al. 2003). An alternative using polymorphic genetic markers was recently proposed (Lorenzi et al. 2010). Nevertheless, classical crossing-over introduces confusion in genotyping and limits the alternative method to a triage (AD and YH, personal communication), not improving the efficiency of Ts65Dn genotyping.

Here we report the characterization of the translocation breakpoints in both the Ts65Dn and the Ts1Cje line. We also propose a new genotyping protocol using classical PCR to facilitate the use of the Ts65Dn model. We further consider the effect of the trisomy of genes located in the Ts65Dn Mmu17 region on their expression in one adult organ, the heart. Our results will help us better understand the translocated chromosomes and open the discussion on the limits of the use of these DS models compared to the new engineered mouse lines.

Materials and methods

Mouse lines

The mice were purchased from the Jackson Laboratory. Both the Ts1Cje line and the Ts65Dn line were kept on a F1 B6C3B genetic background in which the C3B are sighted C3H/HeH, a congenic line for the BALB/c allele at the Pde6b gene (Hoelter et al. 2008). They were bred under specific pathogen-free (SPF) conditions and were treated in compliance with the animal welfare policies of the French Ministry of Agriculture (law 87 848). YH, as the principal investigator in this study, was granted the accreditation 67–369 to perform the reported experiments.

Genotyping

For both mouse lines, genomic DNA was isolated from tail biopsies using a NaCl precipitation technique. Ts1Cje were genotyped using the protocol described by the Jackson Laboratory (stock No. 004861 JAX® Mice Database) by using two pairs of primers. One matches within the neomycin gene in Ts1Cje (IMR6916: CTTGGGTGGAGAGGCTATTC and IMR6917: AGGTGAGATGACAGGAGATC) and the other, used as an internal control, matches in the Tcrd gene (IMR8744: CAAATGTTGCTTGTCTGGTG and IMR8745: GTCAGTCGAGTGCACAGTTT).

Ts65Dn was genotyped using a quantitative PCR protocol. The technique is based on the ΔΔCT calculation method between a control gene present in two copies (ApoB) and a target gene present in three copies (Mx1). Two marked probes are used, one for the control gene ApoB: VIC-CCAATGGTCGGGCAC-MGB-NFQ®, and another for the target gene Mx1: 6-FAM-CCTGGTCGCTGTGCA-MGB-NFQ® (Applied Biosystems, Villebon-sur-Yvette, France), coupled with their respective primers already described (Liu et al. 2003). To avoid sampling variation, DNA concentration was homogenized and the TaqMan probes were labeled with two different fluorescent reporters (FAM and VIC) so that a multiplexed PCR could be used. The qPCR was done in triplicate and we tested a minimum of 15 individuals per experiment. In addition, the standard deviation of the threshold cycle (CT) triplicates should not exceed the value of 0.3 for each dye in order to be validated. After real-time PCR, the average change (∆) in CT of the target gene from that of the internal control gene was calculated (∆CT = mean triplicate CT for Mx1—mean triplicate CT for ApoB). As both diploid and trisomic samples are normally present in one qPCR experiment, the ∆CT values for each sample were classified into two categories of similar values. The mean ∆CT value for the group with the lowest ∆CT (considered as the diploid samples) was calculated per experiment and permitted us to calculate the ∆∆CT (∆∆CT = ∆CT of sample—mean ∆CT of diploid group). Finally, the copy number of the target gene was calculated using the 2(∆∆CT) formula. If the value of 2(∆∆CT) was close to 1, then the animal’s genotype was considered a wild-type, and if the value was close to 1.5, it was considered Ts65Dn.

Comparative genomic hybridization

To study the duplicated region in the Ts1Cje and Ts65Dn models, a comparative genomic hybridization (CGH) was undertaken on the whole genome using NimbleGen mouse HD2 oligonucleotide arrays. Comparative analysis was done using DNA extracts from one wild-type animal that were fluorescently labeled with Cy5 and from one animal bearing the duplication labeled with Cy3. After sonication and labeling, DNA was hybridized to the CGH array, followed by washing the slide according to the manufacturer’s instructions (Roche NimbleGen, Madison, WI, USA). Slides were scanned using a G2565 scanner at 3-μm resolution (Agilent Technologies, Palo Alto, CA, USA), and array images were analyzed using NimbleScan v2.5 software (Roche NimbleGen), with default parameters incorporating spatial correction. Arrays include 2,100,000 isothermal probes 50–75 bp in length with a median spacing of 1.1 kb throughout the genome. All the base pair coordinates mentioned here are indicated and refer to the UCSC NCBI37/mm9/July 2007 assembly.

Total RNA extraction

For Affymetrix arrays, hearts were isolated from Ts65Dn and wild-type mice (n = 5 per group) at 5 months old and flash frozen. Total RNA was prepared using Trizol (Invitrogen, Cergy Pontoise, France) according to the manufacturer’s instructions. Sample quality was checked using an Agilent 2100 Bioanalyzer (Agilent Technologies, Massy, France).

Whole-genome expression arrays

Biotinylated cDNAs were prepared from the total RNAs previously mentioned and hybridized onto GeneChip Mouse GENE 1.0ST arrays (Affymetrix, Santa Clara, CA, USA). Chips were washed and scanned on the Affymetrix Complete GeneChip instrument system generating digitized image data files. Raw data were processed with the Robust Multiarray Average (RMA) algorithm developed by Irizarry et al. (2003), and values were log transformed using Partek (Partek Inc., St. Louis, MO) and GeneSpring software (Agilent Technologies, Massy, France).

Results

Refining the Ts1Cje translocation break reveals a truncation at the level of Dnahc11 on Mmu12

The trisomy of the Ts1Cje mouse line is the result of a reciprocal translocation between Mmu12 and Mmu16 (Huang et al. 1997; Sago et al. 1998). Thus, Ts1Cje animals carry an abnormal chromosome composed of the centromeric part of chromosome 12, fused to the telomeric fragment of chromosome 16. CGH experiments allowed us to locate the translocation breakpoint on chromosome 16 upstream of Sod1 and downstream of Tiam1 and between probes located at positions 90,183,499 and 90,194,499 (NCBI37/mm9; Fig. 1). Further analysis also reveals a small deletion of the telomeric part of chromosome 12, with a translocation breakpoint between positions 119,278,499 and 119,289,499, in the Dnahc11 gene, between exons 35 and 41. Therefore, approximately half of the gene is truncated in Ts1Cje, leading to a monosomy that encompasses all the genes located downstream, toward the telomeric end of Mmu12.

Fig. 1.

Fig. 1

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Representation of CGH profile in Ts1Cje and Ts65Dn mice. Plots are log2 transformations of the hybridization ratios of transgenic versus wild-type mouse DNA. The red rectangle indicates the area containing the breakpoint, with different enlargement. The location of the genes inside the interval is indicated at the bottom of the figure. a Results on Ts1Cje Mmu12 confirm the loss of one copy of the telomeric part, with a breakpoint at the Dnahc11 gene. b Results on Ts1Cje Mmu16 confirm a gain of copy, with a breakpoint just before the Sod1 gene

CGH analysis of the Ts65Dn mice highlights the duplication of the centromeric part of the Mmu17

The Ts65Dn mouse line also results from a reciprocal chromosomal translocation (Davisson et al. 1993). The animals carry a supernumerary chromosome made up of the centromeric part of Mmu17 to the end of which hangs up the telomeric part of Mmu16. For this line, CGH experiments revealed the translocation breakpoint on chromosome 16, in a gene-desert region between Ncam2 and Mrlp39, between the base pairs 84,353,499 and 84,364,499 (Fig. 2). The translocation breakpoint area on chromosome 17 localized between probes located at positions 9,421,499 and 9,432,499, resulting in a duplication of the centromeric part of Mmu17, encompassing Pde10a, up to 6530411M01Rik, a noncoding RNA gene, with 60 genes listed in the different databases, including Ensembl, MGI, and UCSC and in mm9 Refseq (Pruitt et al. 2003).

Fig. 2.

Fig. 2

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a Results on Ts65Dn Mmu17 confirm a gain of copy of centromeric sequences, with a breakpoint downstream of Pde10a. b Results on Ts65Dn Mmu16 confirm a gain of copy of a telomeric region, with a breakpoint proximal to the Mrlp39 gene

Cloning of the Ts65Dn breakpoint

To map the translocation breakpoint more precisely, we performed targeted studies in a window of 11,000 bp around the putative breakpoint as indicated by array CGH. As rearrangements are possible in the neighborhood of the breakpoint, 10 PCR primers were designed surrounding the interval, with five primers upstream (Up1–5) on Mmu17 and five primers downstream (Dw1–5) on Mmu16 (Fig. 3a), and used in different pairwise combinations. On chromosome 17, primers Up1, Up2, and Up3 amplified PCR fragments with primers Dw6 and Dw5, localizing the breakpoint between these markers. On the other hand, no amplification was obtained with primers Up4 and Up5 (Fig. 3b). The sequencing of the PCR fragments confirmed the localization of the breakpoint between primers Up3 and Up4, at position 9,426,821 on chromosome 17 and 84,351,351 on chromosome 16 (NCBI37/mm9; Fig. 4).

Fig. 3.

Fig. 3

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Localisation of PCR primers for breakpoint sequencing on Mmu17 and Mmu16. a Black lines symbolize the sequence, gray rectangles correspond to the probe array with their location (UCSC NCBI37/mm9/July 2007 assembly), and between brackets is the result of the Cy3/Cy5 ratio in terms of copy number. Full triangles represent the PCR primers. b Electrophoresis of PCR products obtained with different PCR primers on the Mmu17 (primer Up) and Mmu16 (primer Dw). T trisomic DNA; w wild-type DNA. M1 is GeneRuler™ DNA ladder mix (Jena Biosience, Jena, Germany) and M2 is Lambda/HindIII DNA

Fig. 4.

Fig. 4

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Genomic composition of the Ts65Dn minichromosome. a An exhaustive list of genes located on the Mmu1716 Ts65Dn according to RefSeq, Ensembl, MGI, and UCSC databases. b Sequence of the Ts65Dn breakpoint. Red and black characters represent Mmu17 and Mmu16 sequences, respectively. The breakpoint is indicated by a slash. Underlined text shows the primer sequences used in Ts65Dn PCR genotyping protocol. c PCR genotyping of the Ts65Dn mice. The forward primer Fw_wt/Ts65Dn is used to amplify both the amplicon specific for the transgenic chromosome (with primer reverse RevTs65Dn) and the wt amplicon, with a reverse primer located on Mmu17 (GGGCAACACTGGATCAATC). After electrophoresis, two bands (396 and 290 bp) are detected by PCR, with DNA isolated from the Ts65Dn animals (Ts) and only one control band (290 bp) from the wild-type animals (wt)

Developing a robust PCR protocol for Ts65Dn genotyping

With the translocation breakpoint identified, we designed a new genotyping PCR protocol. Two primers were selected on both sides of the breakpoint to amplify a fragment of 396 bp (with forward primer Fw_wtTs65Dn: GACTTAGTAAGAGCAAGTGGC and reverse primer Rev_Ts65Dn: AGGTAGAAAGATGTGAGGACAC), and a third primer was designed on the reverse strand of chromosome 17 to amplify a fragment of 290 bp (GGGCAACACTGGATCAATC). After multiplex PCR with these three primers, the wild-type (wt) individuals showed amplification of one band corresponding to Mmu17 (290 bp) and the Ts65Dn individuals showed the amplification of two bands (290 bp) and one additional band specific of the translocated Mmu1716 Ts65Dn chromosome (396 bp; Fig. 4c).

Using this new method, we have genotyped 166 individuals and compared the results with the qPCR method. After the first qPCR run, the genotype was not determined for 5.4% of samples, mostly because of intermediate, ambiguous ∆∆Ct values between 0.25 and 0.35 (values of approximately 0 indicate a wt animal, while values of approximately 0.5 indicate a Ts65Dn animal). Thus, these genotypes had to be checked again using qPCR. If the second estimated value was still between 0.25 and 0.35, the genotype was not determined and the animal was discarded. With the PCR protocol, the genotype was determined for all the animals in only one step, with 100% concordance with the final result generated by qPCR, and no ambiguous genotypes.

Overexpression of trisomic Mmu17 genes in the Ts65Dn mice

To determine if the presence of additional copies of Mmu17 in the Ts65Dn have an impact on gene expression levels, we performed microarray expression profiling on mRNA derived from heart tissue of Ts65Dn and wt mice. The results showed upregulation of some genes in this organ (Fig. 5). Among the 35 genes from the trisomic Mmu17 interval found on the Affymetrix array, 80% (28) were expressed in heart and 62.8% (22) showed overexpression in Ts65Dn versus wt mice (fold change >1.2) (Fig. 5). A similar percentage of genes and ratio of expression were observed for genes located on the Mmu16 trisomic region which are expressed in the heart (Table 1). Functional Annotation Clustering was performed using Database for Annotation, Visualization and Integrated Discovery (DAVID) Bioinformatics, with all genes present in three copies on Mmu17. This tool provides mainly typical batch annotation and gene-GO term enrichment analysis to highlight the most relevant Gene Ontology (GO) terms associated with a given genes list (Huang et al. 2009a, b). The result of this analysis contains four clusters (Table 2). The most enriched cluster concerns genes involved in protein localization and transport. The second significant cluster concern genes involved in membrane fraction, cytoskeleton, and nucleotide or ion binding.

Fig. 5.

Fig. 5

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Representation of the expression profile of Mmu17 triplicate genes on the Ts65Dn minichromosome. The centromeric genes appear overexpressed up to Pde10a, the last trisomic gene located upstream of the breakpoint on the Mmu17

Table 1.

Result of the expression profiling of the Mmu17 centromeric genes in the Ts65Dn heart

Mmu16 Mmu17
Nb genes % Nb genes %
Not expressed 39 35.8 7 16.3
Expressed 66 60.6 28 65.1
 FC >1.2 52 78.8 22 78.6
 FC <0.8 0 0.0 0 0.0
Absent on chip 4 3.7 8 18.6
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Table 2.

Functional annotation clustering with all genes present in three copies on Mmu17

Cluster Enrichment scorea GO term Genes
1 0.91 Protein localization SFT2D1, SNX9, FGFR1OP, SYTL3
Protein transport SFT2D1, SNX9, SYTL3
2 0.70 Membrane; insoluble; cell fraction SNX9, TIAM2, SYTL3
3 0.66 Microtubule cytoskeleton; cytoskeletal part EZR, RPS6KA2, FGFR1OP, DYNLT1E, DYNLT1C, DYNLT1B
Intracellular and nonmembrane-bounded organelle EZR, RPS6KA2, FGFR1OP, DYNLT1E, DYNLT1C, DYNLT1B
4 0.41 Nucleoside binding NOX3, RPS6KA2, TCP10A, PDE10A, TCP10B, TTLL2
Nucleotide binding NOX3, RPS6KA2, TCP10A, PDE10A, TCP10B, RBM16, TTLL2
Ribonucleotide binding RPS6KA2, TCP10A, PDE10A, TCP10B, TTLL2
ATP binding RPS6KA2, TCP10A, TCP10B, TTLL2
Transition metal ion binding NOX3, ZDHHC14, PDE10A, SYTL3
Zinc ion binding ZDHHC14, PDE10A, SYTL3
Metal ion binding NOX3, ZDHHC14, RPS6KA2, PDE10A, SYTL3
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aThe Group Enrichment Score, the geometric mean (in-log scale) of members’ P values in a corresponding annotation cluster, is used to rank their biological significance

Discussion

We report here how CGH experiments carried out on the Ts65Dn and the Ts1Cje DS mouse models reveal the chromosomal changes in these transgenic lines. We designed a new robust PCR genotyping protocol and explored further the effect of the newly described aneuploidy in the Ts65Dn on gene expression.

Our results confirm and more accurately locate the chromosomal breakpoint on the Mmu12 of the Ts1Cje, far upstream of the Sod1 gene on the Mmu16. The Ts1Cje mouse line carries a DS trisomy for 67 Mmu16 genes homologous to Hsa21 plus a monosomy of the 7 most telomeric genes on Mmu12 in a region homologous to Hsa7 as described previously (Laffaire et al. 2009). The deletion on Mmu12 will affect seven annotated genes located in the interval (Dnach11, Sp4, Sp8, Abcb5, Itgb8, Macc1, and Tmem196) but could also affect additional genes found upstream through position effects or removal of regulatory elements. Indeed, gene expression analyses had already shown that in the cerebellum of the Ts1Cje mouse, Sp4 was downregulated and that the neighboring Cdca7l gene, located upstream of Dnach11, had reduced expression, certainly as a consequence of change in the chromatin structure (Laffaire et al. 2009). This monosomic gene in the Ts1Cje might affect neuronal proliferation, maturation, or development of the nervous system. Indeed, the transcription factor Sp4 regulates dendritic patterning during cerebellar development (Ramos et al. 2007) and could reduce postnatal cell proliferation in the hippocampus (Zhou et al. 2007). Sp8, the ortholog of the Drosophila transcription factor buttonhead, is involved in the development of rostromedial forebrain and in the specification of neuronal subpopulations (Zembrzycki et al. 2007), whereas Itgβ8-null mice develop severe deficits in neurogenesis and neurovascular physiology (Mobley et al. 2009). Dnahc11 drives correct left–right (LR) determination (Supp et al. 1997) and whose mutation affects the hippocampal circuitry and induces impaired spatial learning and working memory (Goto et al. 2010).

We also describe in more detail the translocated chromosome in the Ts65Dn mice, defining a series of 60 annotated genes nonhomologous to Hsa21 from a segment of about 10 Mb of the Mmu17 which are present in three copies in this mouse line. An exhaustive list of genes was determined using the four databases (MGI www.jax, UCSC, Ensembl, and RefSeq/MM9) and is given in Fig. 4. Interestingly, a few genes were found in only one or two databases, and Tcp10a and Tcp10b were included in the segment in UCSC and not in MGI or in Ensembl. Eight annotations corresponded to predicted genes of which four have homologous counterpart in the human genome. The segment encompasses a region homologous to Hsa6 but its sequence and synteny has been partly altered compare to human. Expression assays showed increased expression of these genes in the Ts65Dn heart, which by GO analysis are involved in several pathways. It is difficult to evaluate the impact on the observed Ts65Dn phenotypes. Indeed, some of the Mmu17 trisomic genes could interfere with various processes altered in the Ts65Dn. Tiam2 is a gene closely related to its homologous Tiam1, which maps to chromosome 21. Both Tiam1 and Tiam2 have important functions in neurite outgrowth, development and remodeling of synaptic connections (Terawaki et al. 2010). As the function of Tiam2 is similar to that of Tiam1, Ts65Dn mice might overamplify phenotypes due to increased copy of both genes. Similarly, synaptojanin 2 (Synj2) is located in the Mmu17 interval and its closest family member, Synj1, is found in the Mmu16 homologous region. Overexpression of Synj1 is known to modify the metabolism of PtdIns(4,5)P2 in the brain and could contribute to brain dysfunction and cognitive disabilities in DS (Voronov et al. 2008). An isoform of Synj2 was shown to be expressed predominantly in nerve terminals and colocalized with Synj1. Moreover, there is evidence that Synj1 and Synj2 have similar biochemical and protein interactions (Nemoto et al. 2001). Because Synj2 is duplicated in the Ts65Dn mice, the impact of Synj function could be amplified. Indeed, as Dyrk1A, a protein kinase, is known to inhibit synaptojanin 1 by phosphorylation, the additional copy of Synj2 may compensate the Dyrk1a effect (Adayev et al. 2006), which is also located on Hsa21 and overexpressed in Ts65Dn mice. Similarly, Istn1, which interacts directly with synaptojanin 1 (Hussain et al. 2001), or Dscr1, which mediates inhibition of calcineurin, normally stimulates synaptojanin 1 during nerve terminal depolarization by dephosphorylation, and their interaction could be altered by the overexpression of Synj2 (Lee et al. 2004; Rothermel et al. 2003).

Several authors also compared the results obtained on these two models to evaluate the contribution of genotype to the DS phenotype. Now they will have to consider that the two models have clear differences, not only with their control littermate but also due to additional modification of the translocated chromosome. Ts1Cje mice do not carry a triplication of the chromosome 17 centromeric area, and, conversely, Ts65Dn mice do not have a deletion of the telomeric chromosome 12 region. These differences may also have an impact on the observed phenotype differences. It would be interesting to carry out a similar study on the Rb(12.Ts171665Dn)2Cje (Ts2Cje) (Villar et al. 2005), an alternative model of Ts65Dn. This would allow a comparison of the genomic composition of this model relative to Ts65Dn, specifically if the part of Mmu17 is identical between the two and if the translocation involves losses of material as in the Ts1Cje model.

Knowledge of the sequence of the translocation breakpoint allowed the design of a robust, faster, and cheaper PCR genotyping protocol, providing simpler access to this mouse line for laboratories not equipped with qPCR equipment, which was a limiting factor. Thus, research aiming at dissecting DS mechanisms must take into account advantages and disadvantages of the various existing models. Taking into account the mapping of the breakpoint, there are several ways to confirm results obtained with the Ts65Dn and Ts1Cje. Indeed, one can compare consequences of larger segmental duplication mouse models like Ts1Yu (Li et al. 2007) by reducing gene dosage using a specific knockout of gene of interest (Hill et al. 2009; Salehi et al. 2006) or by making a rescue with a monosomic model (Duchon et al. 2011; Olson et al. 2004). In such a rescue experiment, one might still consider multiple-gene interactions with residual trisomic Mmu17 centromeric or monosomic Mmu12 telomeric genes in the Ts65Dn and Ts1Cje, respectively.

Additional DS mouse models have been developed over the last few years using chromosomal engineering and alternative methods (Brault et al. 2007; Duchon et al. 2008). These new models carry a well-defined segmental duplication without additional chromosomal rearrangement. Nevertheless, these models do not possess, like the Ts65Dn model and human pathology, a free segregating chromosome. The impact of such an independent minichromosome on cellular division (proliferation) and on the organization of the nuclear chromatin (gene expression) should not be minimized. Thus, a new model such as the Tc1 mouse model, with a supernumerary chromosome without extra rearrangement (O’Doherty et al. 2005), would certainly help us understand further the DS physiopathology.

Acknowledgments

We thank members of the research group, of the IGBMC laboratory, of the ICS, and of the AnEUploidy consortium (www.aneuploidy.org), particularly Veronique Brault and Emilie Velot for their helpful comments. We are grateful to the caretakers of the ICS and to the people of the transcriptomic platform at the IGBMC for their help. We thank the National Centre for Scientific Research, the INSERM, the University of Strasbourg, and the European commission with the AnEUploidy project (LSHG-CT-2006-037627) for support.

Open Access

This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

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