- Open Access
Regulatory landscape fusion in rhabdomyosarcoma through interactions between the PAX3 promoter and FOXO1 regulatory elements
- Cristina Vicente-García†1,
- Barbara Villarejo-Balcells†2,
- Ibai Irastorza-Azcárate1,
- Silvia Naranjo1,
- Rafael D. Acemel1,
- Juan J. Tena1,
- Peter W. J. Rigby2,
- Damien P. Devos1,
- Jose L. Gómez-Skarmeta1 and
- Jaime J. Carvajal1Email author
© The Author(s). 2017
Received: 15 December 2016
Accepted: 28 April 2017
Published: 14 June 2017
The organisation of vertebrate genomes into topologically associating domains (TADs) is believed to facilitate the regulation of the genes located within them. A remaining question is whether TAD organisation is achieved through the interactions of the regulatory elements within them or if these interactions are favoured by the pre-existence of TADs. If the latter is true, the fusion of two independent TADs should result in the rewiring of the transcriptional landscape and the generation of ectopic contacts.
We show that interactions within the PAX3 and FOXO1 domains are restricted to their respective TADs in normal conditions, while in a patient-derived alveolar rhabdomyosarcoma cell line, harbouring the diagnostic t(2;13)(q35;q14) translocation that brings together the PAX3 and FOXO1 genes, the PAX3 promoter interacts ectopically with FOXO1 sequences. Using a combination of 4C-seq datasets, we have modelled the three-dimensional organisation of the fused landscape in alveolar rhabdomyosarcoma.
The chromosomal translocation that leads to alveolar rhabdomyosarcoma development generates a novel TAD that is likely to favour ectopic PAX3:FOXO1 oncogene activation in non-PAX3 territories. Rhabdomyosarcomas may therefore arise from cells which do not normally express PAX3. The borders of this novel TAD correspond to the original 5'- and 3'- borders of the PAX3 and FOXO1 TADs, respectively, suggesting that TAD organisation precedes the formation of regulatory long-range interactions. Our results demonstrate that, upon translocation, novel regulatory landscapes are formed allowing new intra-TAD interactions between the original loci involved.
The advent of chromatin conformation capture technologies (3C and its variants Hi-C, 5C-seq and 4C-seq; reviewed in ) has been essential in the identification of megabase-scale chromosomal organisation domains [2–4], which have been termed topologically associating domains (TADs). These are large genome intervals defined by an increased number of long-range chromatin interactions between the loci contained in the same chromosomal domain and a decreased number of interactions with loci in neighbouring domains . Increasing experimental evidence suggests that TADs constitute not only structural but also functional units of the genome. TADs structurally restrain epigenetic domains [2–4], domains that can change coordinately in response to external cues . Furthermore, the genome has been divided into compartments with active or inactive status , and during differentiation, regions subject to repositioning from one of these compartments to the other correspond to single or several, consecutive TADs [8, 9]. Therefore, the genes contained within a TAD, as a group, are more or less prone to transcription depending on the epigenetic state of the domain or the nuclear compartment in which they are positioned. In fact, genes within TADs do show gene expression correlation [3, 6], revealing an underlying mechanism of intra-TAD gene regulation, which does not necessarily imply that genes included within a TAD are under the control of the same tissue-specific enhancers.
From an evolutionary point of view, it has been shown that ancestral recombinations leading to loss of synteny occur at TAD borders , maintaining their structures and indicating that TADs are under positive selective forces, most likely because the disruption of a TAD has deleterious effects on the regulation of the genes within it. It is still not clear if TADs originate from interactions between enhancers and promoters within the domain or if it is this compartmentalisation that permits and restricts enhancer-promoter contacts [11–13].
The molecular nature of TAD borders is still unclear, although it has been shown that they are enriched in binding sites for the CTCF protein [2, 3], which has been implicated in three-dimensional (3D) chromatin organisation and enhancer-blocking activities . The directionality of the CTCF binding sites seems to be predictive of their loop-forming activity as deletion or inversion of these sites results in the generation of inappropriate enhancer-promoter contacts [15, 16].
A remaining question is how sequence interactions are restricted to individual domains. The borders between adjacent TADs seem to restrict cross-border interactions and thus deletion of these regions results in the mis-regulation of the genes associated with them. Genome manipulations of the border separating the Tfap2c and Bmp7 loci in the mouse show ‘contamination’ of the transcriptional landscapes of both genes upon inversion , while human disorders such as polydactyly, brachydactyly and F-syndrome have been shown to be related to the deletion, inversion or duplication of borders separating the different TADs containing the WNT6-IHH/EPHA4/PAX3 loci , which leads to otherwise prohibited promoter contacts with enhancer elements located outside their cognate TAD, causing mis-expression of the genes involved. Analyses of various duplications in the proximity of the SOX9 locus have shown several outcomes depending on the exact nature of the duplication: intra-TAD duplications do not alter overall TAD organisation but may result in increased numbers of intra-TAD contacts and could give rise to a phenotype; and inter-TAD duplications that cross TAD borders generate novel TADs without altering flanking gene expression. In this second case, a phenotype could arise if the novel regulatory landscape created by the duplication includes a coding gene, as it could result in its dysregulation .
Thus, the implication is that removal of a border element results in the fusion of adjacent TADs, while the inversion/duplication of a border could allow new regulatory interactions to be formed resulting in inappropriate expression of genes around the inversion/duplication. Importantly, sequences adjacent to the manipulated borders are also rearranged during the process and thus a possible contribution to the observed phenotypes cannot be discarded. Other human chromosomal rearrangements have been shown to result in the dysregulation of gene expression by regulatory elements located in the proximity of the breakpoints (e.g. [20–26]).
Recurrent chromosomal translocations are formed by end-joining of two double-strand chromosomal breaks, which occasionally occur within the introns of individual genes resulting in the generation of a novel chimaeric fusion protein harbouring functional domains from the two proteins and thus new functional properties. In cancer, the formation of novel chimaeric transcription factors, in which the DNA binding domain is encoded by one gene and the transactivation domain is encoded by the other, is common. The PAX3:FOXO1 fusion gene, arising from the t(2;13)(q35;q14) translocation  in the paediatric soft tissue tumour alveolar rhabdomyosarcoma (ARMS), encodes a transcription factor that contains the PAX3 (paired box 3) DNA-binding domain and the FOXO1 (forkhead box O1) transactivation domain. This fusion transcription factor dysregulates PAX3 target genes resulting in gene expression changes that modify pathways involved in proliferation and/or survival, contributing to tumour initiation. Translocations involving PAX3 (or the closely related PAX7) and FOXO1 are only found in rhabdomyosarcomas. This permits the formulation of two hypotheses: (1) that translocations can occur in multiple cell types but only those expressing the regulatory factors required for the expression of the oncogene give rise to rhabdomyosarcomas; or (2) that the translocations occur in a restricted or unique cell type, usually by means of co-transcription of the two loci involved in the translocation [28, 29]. Even if this second hypothesis turns out to be correct, it is still possible that only those cells that express the correct combination of transcription factors would give rise to tumour cells as the fusion gene will be under the transcriptional control of specific regulatory elements; oncogene activation in a non-PAX3-expressing cell type may therefore be essential for the development of the disease. It is thus clear that unravelling the transcriptional regulatory mechanisms of PAX3, FOXO1 and the oncogenic PAX3:FOXO1 gene should help to identify the elusive cell type of origin for these sarcomas.
Crucially, we show that the t(2;13)(q35;q14) translocation in ARMS not only generates a fusion gene but also a novel fused regulatory landscape that likely controls the expression of the novel gene. The translocation results in the formation of a novel TAD structure that retains the 5' and 3' borders of the wild-type PAX3 and FOXO1 TADs, respectively. Importantly, interactions between the PAX3 promoter and the FOXO1 region are similar to those established by the FOXO1 promoter in its own locus, despite these regulatory regions being in a completely new regulatory landscape. As these interactions are novel, if the establishment of regulatory interactions were to precede TAD formation, we would expect a change in TAD boundaries. Instead, we observe that in the ARMS translocation analysed, the PAX3 promoter does not interact with sequences downstream of the original FOXO1 TAD border.
Loss of synteny analyses place the 5' boundary of the FOXO1/FoxO1 locus in close proximity to its promoter
Location of genes flanking the FOXO1 locus in human Chr13 across species
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In the case of the Pax3 locus, the same gene organisation was found in all species analysed: FARSB-SGPP2-PAX3-EPHA4. Since no breaks in synteny were observed, no conclusions could be drawn on the span of Pax3 regulatory elements in the locus but it suggests that strong evolutionary constrains have maintained this syntenic block unaltered.
Hi-C and 4C-seq analyses of the PAX3/Pax3 and FOXO1/FoxO1 loci
We sought to further explore the regulatory landscape for these genes by performing 4C-seq on 9.5 dpc (days post coitum) whole mouse embryos using the FoxO1 and Pax3 promoters as viewpoints. At this developmental stage, both genes are expressed in a variety of progenitor and differentiated cells and thus the 4C-seq data represent an average through different cell types, although overall TAD organisation is mainly invariant across multiple tissues [2, 30]. The data show that interactions of the mouse Pax3 promoter are almost equally distributed on either side (44% and 56%) and mainly restricted to the TAD that contains it (80.0%), further supporting the hypothesis that the identified boundary immediately upstream of Pax3 corresponds to a sub-TAD boundary, with Pax3 regulatory elements being present in both domains. The mouse FoxO1 promoter interacts preferentially with downstream sequences (67.5%), mainly restricted to the TAD (65.6%); sequences that coincide with H3K27ac active-enhancer marks (Additional file 1: Figure S3) are detected in multiple tissues known to express FoxO1 .
If FOXO1 enhancer regions are involved in the regulation of the PAX3:FOXO1 fusion gene, then first we had to gain an insight on the transcriptional regulation of the FOXO1 gene, identify some of these regions and show that they might be located downstream of the translocation breakpoints.
Identification of translocation breakpoints in different ARMS cell lines
In ARMS, the t(2;13)(q35;q14) translocation occurs between intron 1 of FOXO1 and intron 7 of PAX3 [32–34]. In order to determine the contribution of putative enhancer elements translocated to the derivative t(2;13) chromosome towards the new regulatory landscape, we mapped six independent breakpoints in five independent ARMS cell lines harbouring this translocation. A series of forward primers around 3 kb apart from each other were designed to span the entire PAX3 intron 7 (18.7 kb) while a series of reverse primers spaced by ~10 kb was designed to span the entire FOXO1 intron 1 (104.7 kb) (Additional file 2: Table S1). Forward and reverse primers were used in all possible combinations in a long-distance polymerase chain reaction (LD-PCR) designed to amplify fragments up to 20 kb in length.
Identification of regulatory regions driving transcription of the FoxO1 and Pax3 genes
As expected, all of them fail to recapitulate the complete FoxO1 expression pattern because none of them contains the full regulatory landscape, which our 4C-seq data indicate spans up to 700 kb downstream of the gene. Interestingly, the B116Z-Foxo1 BAC construct drives ectopic expression in the neural tube (Fig. 4b). Unlike B61Z-Foxo1, which also crosses the TAD border, B116Z-Foxo1 contains regions with strong active-enhancer marks in several tissues including some pertaining to the central nervous system. Thus, in this context, the sequence underlying this TAD border does not possess intrinsic transcriptional boundary activity per se because it is unable to block the interactions between regulatory elements and the promoter when placed in between them. Except for this remarkable difference, B61Z-Foxo1 and B116Z-Foxo1 drive very similar expression patterns from 9.5 dpc to the adult (note that their 3'-ends are almost identical; compare Additional file 1: Figures S4 and S5). Sites of expression include the myotome, fore-gut and hind-gut diverticula, the stomach, the apical ectodermal ridge (AER), limb, thoracic and facial skeletal muscle, the inner layer of the retina, the posterior wall of the lens vesicle, and the nasal pits. In contrast, the B38Z-Foxo1 construct drives expression from 9.0 dpc in vascular precursors throughout the embryo (Fig. 4b and Additional file 1: Figure S6). This finding indicates that a regulatory module for vasculature expression maps in the non-overlapping region between B61Z-Foxo1/B116Z-Foxo1 and B38Z-Foxo1, that is, +104 to +148 kb from the FoxO1 TSS. Time course analyses of these transgenic lines revealed that all three constructs fail to recapitulate the complete FoxO1 expression pattern (e.g. no expression is observed in brown adipose tissue -BAT- from 16.5 dpc onwards in any of the lines), indicating that the enhancer(s) responsible to drive BAT expression is not contained within these BAC clones.
In order to analyse Pax3 gene expression, several BAC clones were identified from the CHORI library; for this study we selected RP23-260 F1 (end-sequences GeneBank accession numbers: AQ927932 and AQ927929). This BAC carries 30 kb and 135 kb of sequences upstream and downstream of the transcriptional start point of Pax3, respectively (Additional file 1: Figure S7a). Thus, the BAC is completely embedded within the TAD although it crosses the putative sub-TAD border. This BAC was modified by the introduction of a nlacZ-SV40pA cassette at the translational start point of Pax3 (construct B30Z-Pax3) and used to generate transgenic lines. The transgene closely follows the endogenous pattern of Pax3 , being expressed in the neural tube, neural crest cells, somites, the hindbrain, the midbrain and forebrain, migrating limb and hyploglossal chord muscle precursors, the pre-somitic mesoderm, trigeminal ganglia and the lateral nasal process (Additional file 1: Figure S7b).
We generated additional lines using another BAC construct carrying 14 kb upstream of the Pax3 translational start site and 128 kb downstream of it (RP24-235I14). Analysis of transgenic animals carrying B14Z-Pax3 (Additional file 1: Figure S7c) shows an identical pattern of expression to that driven by the B30Z-Pax3 described above. Therefore, the majority of the regulatory elements needed for the correct spatiotemporal expression of Pax3 during embryonic development are presumably contained within this BAC.
Identification of regulatory regions downstream of the RH30 translocation breakpoint
Deletion of the sequences downstream of the RH30 translocation breakpoint from B30Z-Pax3 (construct B30Z-Pax3-RH30) has a very limited effect on the overall expression pattern (Fig. 5c), with some changes in intensity levels at some locations. This result suggests that most, if not all, PAX3 regulatory modules will be carried by the derivative t(2;13)(q35;q14) chromosome following the translocation event.
Fused regulatory landscape in ARMS
As predicted, the chromosomal rearrangement that takes place in RMS cells generates a new TAD as the result of the fusion of PAX3 and FOXO1 regulatory landscapes. Importantly, the borders of this new TAD coincide with those calculated in the wild-type loci (compare the positions of the borders in Figs. 2 and 6). Furthermore, these translocation TAD borders are mainly invariant across a multitude of human tissues (Additional file 2: Table S2), the upstream PAX3 border and the downstream FOXO1 border being conserved at a +/– 20 kb resolution in 61.9% and 66.7% of the 21 cell types/tissues analysed, respectively . Thus, the new TAD harbours the PAX3:FOXO1 fusion gene, as well as FARSB and SGPP2, while the flanking TADs remain mainly unchanged, with the exception of the boundary at the end of the analysed region, which shows a significant difference. Nevertheless, as this particular predicted boundary is at the end of the analysed region, it may arise as an artefact of the computational approach, which is not reliable at the extremes. Interestingly, the 4C-seq data indicate that these flanking TADs interact with each other (note the rhomboid-like domain above the PAX3-FOXO1 TAD in Fig. 6b), presumably reinforcing the formation of an isolated highly self-interacting domain in between them. Although the D.I. analysis of the virtual Hi-C data does not reveal the existence of the predicted sub-TAD containing SGPP2 (as observed in the Hi-C analyses of wild-type mouse and human loci), the 3D chromatin structure model clearly shows an isolated chromosomal loop that contains the SGPP2 promoter (Fig. 6d and Additional file 3: Movie S1; Additional file 4: Movie S2).
The human PAX3 promoter is able to interact with potential FOXO1 enhancers in RMS cells
Transcriptional regulation of FOXO1 and PAX3
The transgenic analyses show that FoxO1 is regulated by individual regulatory regions driving expression of the transgene in different anatomical locations during embryonic development and in the adult. Importantly, we have mapped the enhancer responsible for embryonic vascular expression to the non-overlapping region between B61Z and B38Z (the +104 kb to +148 kb interval), downstream of exon 2 and thus located downstream of all translocation breakpoints in ARMS. None of our constructs is able to direct expression in brown adipose tissue (BAT), a strong site of expression for the endogenous FoxO1 , indicating that this element is located further downstream.
In the case of Pax3, differences in the relative intensity of expression between neural tube and somites probably arise from the perdurance of β-galactosidase activity, as noted for other lacZ transgenes , and the existence of a micro RNA sequence in the 3'UTR of Pax3 [39, 40] that downregulates somitic expression but cannot act on our lacZ construct as it is terminated by the SV40pA sequence. The fact that B14Z-Pax3 contains the 14 kb interval previously described  as the only required sequences upstream of the Pax3 gene and that it can drive most, if not all, of the Pax3 endogenous pattern during early embryonic development, suggests that most of the embryonic Pax3 regulatory elements are located downstream of the Pax3 translational start site.
Structural organisation of the PAX3:FOXO1 locus in ARMS
Our synteny analysis shows that the chromosomal structure that includes the FOXO1 locus (LHFP-COG6-FOXO1-MRPS31) is highly conserved between species as evolutionary distant as the cartilaginous fish Elephant shark (Callorhinchus milii) and humans, revealing that the same gene structure flanking the FOXO1 gene has been maintained at least over the past 420 Mya. We propose that the localisation of the FOXO1 promoter in close proximity to the upstream TAD border has been the driving force for the invariant structure of that border. Indeed, a single break of synteny could be identified in all the species covered by our analysis and that arose following a chromosomal rearrangement at the base of the rodents precisely at the interface between the two TAD structures.
Other changes in the genomes of teleosts also took place following the whole genome duplication event at the base of the bony fish group following chromosomal rearrangements. In the three cases analysed, the structure of the syntenic region has also been maintained and the FOXO1-COG6-LHFP syntenic group retained. Interestingly, the original upstream structure has also remained on the paralogous gene, indicating the presence of strong constraints for the disaggregation of these genes and their regulatory sequences, even if duplicated.
The study of oncogenic recurrent chromosomal translocations allows investigation of the effects of chromosomal rearrangements on gene expression without the need to resort to the reconstruction of the effect of evolutionary forces upon the process.
We have shown that in ARMS, the PAX3 promoter interacts strongly with sequences in the FOXO1 locus, sequences and interactions that are conserved in the wild-type mouse locus and that, in many cases, correlate with the presence of H3K27Ac marks, DNAseI hypersensitive sites, the binding of diverse transcription factors, and ECRs, indicative of active enhancers. This implies that the PAX3:FOXO1 oncogene is, at least in part, under the control of FOXO1 regulatory elements. Furthermore, the profile of interactions between the PAX3 promoter and FOXO1 sequences correlates with the profile of interactions observed between the mouse FoxO1 promoter and its regulatory landscape.
The chromatin extrusion model of TAD formation [42, 43] may explain how the borders flanking the fused TAD are conserved after the translocation. According to this model, loop-extruding factors (likely, cohesins) would load randomly onto the DNA forming a small chromatin loop. Then, these factors would slide through the chromatin in opposite directions while still tethered, progressively extruding the DNA between them creating a larger loop. Once they encounter a boundary element (likely, CTCF in a specific orientation), they would be stalled. The new TAD would thus be formed by the interaction between the pre-existing borders creating a new regulatory landscape in which contacts between the PAX3 promoter and regulatory elements of FOXO1 take place. We cannot exclude that these interactions may contribute to the formation and/or maintenance of the new TAD, as previously suggested in the case of the Xist locus .
TADs are composed of and are a consequence of chromatin interactions. However, in the case of the PAX3:FOXO1 TAD we argue against a model in which TAD formation is caused by the pre-establishment of specific enhancer-promoter or enhancer-enhancer regulatory interactions. The translocation places the PAX3 promoter and enhancers from both genes in a new regulatory environment. We would argue that in this new environment the interactions would be significantly different from those established in the wild-type locus and thus if these preceded TAD organisation, a shift of the position of the borders would have been observed.
It has recently been reported that active transcription or gene looping is not required for TAD formation . The authors show conservation of TAD organisation around the CFTR locus in five different cancer cell lines, two of which do not express the gene. Furthermore, looping interactions within the CFTR-containing TAD (intra-TAD interactions) were highly specific in those cells that express the gene and absent in those that do not express it. Thus, as previously reported [2, 46], internal TAD organisation is cell-type specific whereas overall TAD structures are mostly conserved, which argues against a model in which TADs are passively formed as a consequence of the establishment of specific regulatory interactions. Additionally, such a model in which the emphasis is placed on the interactions and not on the importance of a border would not explain why the removal of TAD boundaries cause adjacent TADs to merge and a rewiring of regulatory interactions [17–19].
Our analyses also show that while both B61Z- and B116Z-Foxo1 cross the FoxO1 5'-TAD border, only B116Z-Foxo1 spans into regions marked by H3K27ac in the whole brain, cerebellum and olfactory tract, which suggest the presence of active neural tissue enhancers. Therefore, the sequence of this TAD border is not sufficient to separate regulatory landscapes, indicating that efficient separation may require interaction between TAD-border sequences, such as convergent CTCF binding sites [15, 16], and other sequences within the TAD domains. In fact, close observation of the mouse Hi-C data reveals that the borders of the FoxO1-containing TAD do interact with each other (note the interactions at the peak of the triangle depicting the third TAD at the bottom of Fig. 2a).
Implications for the cell type of origin for ARMS
ARMS tumours appear generally in trunk and extremities , but examples of other sites of primary ARMS abound in the literature (e.g. [48–53]), suggesting that they can arise in multiple cell types or in a single cell type found throughout the body, with certain locations such as the extremities being more susceptible than others. ARMS tumours are characterised by the expression of muscle-specific markers (reviewed in ), suggesting a possible myogenic origin, although their molecular characteristics are more related to cells that have been committed to the myogenic lineage but are unable to complete terminal differentiation to become skeletal muscle. For example, it has been shown that MYOD is activated by the PAX3-FOXO1 fusion protein while it interferes with its chromatin remodelling functions, inhibiting the expression of the skeletal muscle terminal differentiation factor, MYOG . An interesting hypothesis is that dysregulation of PAX3 or PAX7 target genes may result in the activation of the myogenic programme in a non-myogenic lineage, the cells being able to transdifferentiate but unable to fully complete terminal differentiation. It has been shown that ectopic expression of PAX3 in the lateral plate mesoderm of chick embryos induces the expression of the myogenic regulatory factors MYF5, MYOG and MYOD ; expression in mesenchymal stem cells also induces the activation of myogenic markers such as MYF5, MYOD, MYOG, MCK and MHC, pushing them towards the myogenic lineage, while blocking their osteogenic, chondrogenic or adipogenic potential . It is thus likely that the myogenic-like transcriptome of ARMS tumours  is the result of PAX3:FOXO1 activation rather than a remnant of their lineage origin.
Several cell types have been previously suggested as the origin for ARMS, corresponding to embryonic, postnatal or adult stem cells or adult myofibres , both from the myogenic lineage [60–64] or other lineages [65, 66].
Our data reveal a clear set of interactions in the embryo between the FoxO1 promoter and, in the RMS cell line, the PAX3 promoter, and far-downstream sequences in the FOXO1/FoxO1 locus, which presumably correspond to enhancer regions of the gene.
An interesting site of FoxO1 expression is BAT , which can easily transdifferentiate into muscle and vice versa [67–70], while overexpression of a constitutively active Smoothened restricted to adipocytes has been shown to give rise to embryonic rhabdomyosarcomas (ERMS)  with relative high penetrance.
None of our constructs drive expression in BAT, indicating that the enhancer(s) responsible for this aspect of the expression is located even further downstream. Indeed, epigenetic marks in BAT from 24-week-old mice indicate active sites coincident with downstream regions that interact strongly with both the mouse FoxO1 and human PAX3 promoters (Additional file 1: Figure S3), while our data clearly show that the enhancers required for both embryonic and adult vasculature expression are located downstream of all the mapped translocation breakpoints.
Another important site of expression is the developing and adult vasculature, although we have not identified the different cell types associated with this expression. In the embryo, some progenitors for vasculature and skeletal muscle reside in the dermomyotome and their fate decision depends on the ratio between Pax3 and Foxc2, acting as pro-myogenic and pro-angiogenic factors, respectively. Importantly, Foxc2 expression is repressed both by PAX3 and the PAX3-FOXO1 fusion protein, promoting myogenesis in cells that, under normal circumstances, would not give rise to skeletal muscle . Therefore, we propose the BAT and vasculature cell lineages as new candidates for the cell type of origin for ARMS. As the survival rates for these types of tumour are particularly low (around 70% of patients show recurrent tumour resurgence following current therapies), the final identification of the lineages that can serve as origin for ARMS will provide further information on the biology of these tumours and the importance of additional activating mutations specific for each lineage, opening new avenues for the development of new targeted therapies based on the transcriptome and epigenome of the individual cell types of origin.
We have shown that novel regulatory landscapes arise as a result of oncogenic human translocations and that these are restricted by the original upstream and downstream TAD boundaries of the genes involved in the translocation, indicating that TAD formation precedes intra-TAD interactions. We have identified several major enhancer regions for FOXO1 present downstream of all t(2;13) translocations in ARMS and thus potentially able to drive expression of the oncogene in non-PAX3-expressing cells. We also indicate that brown adipose tissue and the vasculature should be considered in future studies on cell lineage of origin for ARMS. Ectopic oncogene activation may be an essential step in the tumorigenic process, as expression in a particular cell type, the often-elusive cell of origin, may be required for disease development.
Integration of a LacZ reporter gene into BAC clones
To target the FoxO1 BACs, homology arms were synthesised by standard PCR methods using the oligonucleotide primers pFoxHAF + ApaI/pFoxHAR + ApaI (Additional file 2: Table S1) which generate a 410 bp fragment spanning 204 bp and 206 bp upstream and downstream of the first coding ATG of FoxO1, respectively. We then used the single NcoI site at position -1 to insert a linker sequence (Additional file 2: Table S1). Into the single BglII of the linker we then cloned a galK selectable marker  or a ~3 kb BamHI fragment from our standard construct #1  containing a nuclear-localised lacZ reporter gene and a SV40 polyadenylation signal. To target the Pax3 BACs, homology arms were synthesised by standard PCR methods using the oligonucleotide primer pairs pPax3_5HAF + EagI/pPax3_5HAR + Link and pPax3_3HAF + Link/pPax3_3HAR + EagI (Additional file 2: Table S1) and then joined by PCR. This generates a 950 bp fragment spanning 461 bp and 468 bp upstream and downstream of the first coding ATG of Pax3, respectively, and introduces a small polylinker immediately upstream of the gene. We then used the single BglII site at position -1 to insert the galK selectable marker or the nuclear-localised lacZ reporter gene and a SV40-polyA. These constituted the targeting cassettes. The B116-Foxo1, B61Z-Foxo1, B38Z-Foxo1, B14-Pax3 and B30-Pax3 BAC constructs were then modified by two-step galK recombineering  with modifications as previously described . All positive clones were checked for integrity by multiple restriction digests and inserts sequenced prior to pronuclear injection. The number of independent transgenic lines showing similar expression patterns for each construct is as follows: B38Z-Foxo1: four lines; B61Z-Foxo1: three lines; B116Z-Foxo1: three lines; B14Z-Pax3: two lines; B30Z-Pax3: four lines.
RH30 deletion in BAC clones
To generate the deletions at the RH30 breakpoint sequence in mouse BACs, we made homology cassettes (Additional file 2: Table S1) with ~75 bp of homology at either side of the mouse sequence corresponding to the breakpoint in the RH30 cell line and containing a LoxP511 site in the same orientation as the one in the BAC vector-backbone (pBACe3.6). The cassettes were then inserted by single-step recombineering  in B38Z-Foxo1 and B30Z-Pax3. Positive clones were sequenced and transferred into the SW106 E. coli bacterial strain  that carries an Arabinose-inducible Cre gene for the excision of the intervening fragments. Following induction of Cre expression, positive clones were identified and checked for integrity by multiple restriction digests; deletions were confirmed by sequencing prior to pronuclear injection. The number of independent transgenic lines showing similar expression patterns for each construct is as follows: B38Z-Foxo1-RH30∆: three lines; B30Z-Pax3-RH30∆: two lines.
Generation of transgenic mice and embryo analyses
BAC DNA was prepared using the QIAgen maxiprep kit (QIAGEN Ltd., UK) as previously described . After dialysis against microinjection buffer (10 mM Tris-HCl pH 7.5, 0.1 mM EDTA pH 8.0 and 100 mM NaCl), DNA was diluted to 1.6–1.8 ng/mL in microinjection buffer and used for pronuclear injection of fertilised mouse eggs from B6CBAF1/OlaHsd crosses using standard techniques. Embryo β-galactosidase staining was performed as previously described . Embryo pictures were obtained using a Nikon SMZ1500 microscope and a JVC KY-F55B 3-CCD camera connected to a Scion Series 7 card. Images were imported into AdobePhotoshop (v12.0 x64) and whole image correction applied using the ‘AutoLevels’ tool.
Identification of breakpoints in ARMS cell lines
The RH3, RH28 and RH41 cell lines were obtained from Dr Peter Houghton (St Jude Children’s Research Hospital, Memphis, TN, USA); the RMS, SCMC and RH30 cell lines were a kind gift from Dr Janet Shipley (The Institute of Cancer Research, Sutton, UK). Cells were grown in Dulbecco’s Modified Eagle’s Medium (DMEM, SIGMA UK) supplemented with 10% (v/v) fetal calf serum, 60 mg/mL Benzylpenicillin and 100 mg/mL Streptomycin sulphate. Cells were isolated from two 75 cm2 flasks (Nunc) at 80% confluency by standard methods and genomic DNA extracted as previously described . LD-PCR was used to amplify the genomic DNA from the different cell lines using all possible combinations from 11 oligonucleotides evenly spaced over ~110 kb and covering intron 1 of FOXO1 (Foxo1-LD primers) and seven oligonucleotides evenly spaced over ~27 kb and covering intron 7 of PAX3 (Pax3-LD primers) (Additional file 2: Table S1). LD-PCR was performed using the Expand Long Template PCR kit (Roche), using Buffer 3, as instructed by the manufacturers. The SCMC breakpoint was amplified with the Foxo1-LD8/Pax3-LD6 primer pair (3.1 kb); the RH3 breakpoint was amplified with the Foxo1-LD8/Pax3-LD2 primer pair (1.3 kb fragment); the RH5 breakpoint was amplified using the Foxo1-LD8/Pax3-LD3 primer pair (5.3 kb); the RMS breakpoint was amplified using the Foxo1-LD5/Pax3-LD3 primer pair (7.8 kb); the RH4/RH41 breakpoint was amplified using the Foxo1-LD7/Pax3-LD3 primer pair (12.8 kb fragment). Products were cloned into pCR2.1-TOPO (Invitrogen) and sequenced. We have previously reported the sequence of the RH30 translocation breakpoint .
4C-seq assays were performed as previously reported [77–80]. Briefly, hybrid CBA/C57Bl6 mouse embryos at the desired stage were disrupted using 1X PBS/0.125% (w/v) collagenase (Sigma-Aldrich). 107 individual cells were fixed in 1X PBS/2% (w/v) formaldehyde for 15 min at room temperature. A total of 155 μl of 10% (w/v) Glycine were added to stop the fixation, followed by a wash by centrifugation with 1X PBS at 4 °C. Pellets were frozen in liquid nitrogen and kept at -80 °C. Isolated cells were lysed (lysis buffer: 10 mM Tris-HCl pH 8, 10 mM NaCl, 0.3% (v/v) IGEPAL CA-630 [Sigma-Aldrich]), 1X protease inhibitor cocktail (cOmplete, Roche) was added and the DNA digested with DpnII and Csp6I as primary and secondary enzymes, respectively. T4 DNA ligase was used for both ligation steps. Specific primers were designed at the genes promoters 4C-mPax3 (mouse Pax3 promoter), 4C-hPAX3 (human PAX3 promoter) and 4C-mFoxo1 (mouse FoxO1 promoter), as well as for the rest of the viewpoints (VP1–VP9) (Additional file 2: Table S1) with Primer3 (v. 0.4.0) . Illumina adaptors were included in the primer sequences. Eight separate PCRs were performed for each viewpoint with Expand Long Template PCR System (Roche) and pooled together. The libraries were purified with a High Pure PCR Product Purification Kit (Roche), concentrations measured using the Quanti-iTTM PicoGreen dsDNA Assay Kit (Invitrogen) and sent for deep sequencing.
4C-seq data analyses and 3D chromatin modelling
4C-seq data were analysed as previously described . Briefly, raw sequencing data were de-multiplexed and aligned using mouse July 2007 assembly (mm9) or human February 2009 (hg19) as the reference genomes. Reads located in fragments flanked by two restriction sites of the same enzyme, or in fragments smaller than 40 bp, were filtered out. Mapped reads were then converted to reads-per-first-enzyme-fragment-end units and smoothed using a 30 fragment mean running window algorithm, uploaded to the UCSC genome browser  (http://genome.ucsc.edu/, 2015) and subjected to a five-pixel smoothing window. In Fig. 7, as reads upstream of the breakpoint come from both the intact and translocated PAX3 locus and downstream reads map to PAX3 or FOXO1, 4C-seq scales have been adjusted to normalise reads at either side of the translocation.
The protocol of the chromatin modelling based on 4C-seq data was applied as previously described . Briefly, 4C-seq data were used as a proxy of distance between individual viewpoints and the rest of the DNA fragments under the assumption that 4C-seq reads are inversely proportional to their spatial distance. These distances were used as restraint coordinates to locate the position of DNA fragments in the 3D space. The Integrative Modelling Platform (IMP)  was used for the generation of chromatin 3D models. The 200 top-scoring models were selected out of 50,000 and then clustered in two populations that were mirror image of each other. The most populated cluster was selected and used for the calculation of the Virtual Hi-C, as previously described .
4C-seq reads corresponding to the derivative t(2:13) chromosome were duplicated in order to compensate the theoretical quantity of whole chromosomes depending on the viewpoint used. Reads were then normalised and the Z-scores calculated as previously described  to filter out the non-significant data. For peak calling of 4C-seq data, interaction calling was carried out using as a background a two-sided monotonic regression calculated using the Pool Adjacent Violators Algorithm (PAVA) from the R-package isotone . With this background, we computed the distribution of residuals (differences between observed and expected values for each fragment) and defined as peaks those fragments with residuals that were above the third quartile plus 1.5 × IQR, IQR being the interquartile range . Peaks less than 500 bp apart were merged together in a single unit.
Directionality index and boundary calling
Boundary calling was carried out using the D.I. . The D.I. at each position is based on fragments contacts for both sides, but we only used data limited to these regions of interest. Thus, we are missing data for the fragments located at the borders. We simulated the missing data for the fragments in the borders by taking the mean value of the complete dataset as reference. We calculated the D.I. of the Hi-C’s for both loci in the two species iteratively, changing the expected TAD size variable in each iteration (Additional file 2: Table S4). We selected the boundaries that appeared in all the iterations. We used the same approach for the virtual Hi-C of the truncated locus but we selected the top two boundaries which appeared in 96% of the iterations (Additional file 2: Table S4). Hi-C data were taken from the Epigenome Browser (http://egg.wustl.edu/d/; 2016); the datasets used for these calculations were: MM9: Esc_20kb_hindIII_rep1_mouse and HG19: Esc_20kb_hindIII_rep2_human.
We are grateful to all members of the Carvajal and Gómez-Skarmeta laboratories for helpful discussions; to J.R. Martínez-Morales for critical reading of the manuscript; to Ana Jesús Franco Gómez and Cándida Mateos Orozco, at the Animal House facility at CABD, for expert animal husbandry; and to Ana Fernández Miñán, at the Functional Genomics Platform from the CABD, for her support on the design and completion of 4C-seq experiments.
This work was supported by The Institute of Cancer Research and Cancer Research UK (Grant C1178/A4520). JJC was funded by grants from Spanish Ministerio de Ciencia e Innovación (BFU2011-22928) and the European Commission (PCIG10-GA-2011-303904). JLGS was funded by grants from Spanish Ministerio de Economía y Competitividad (BFU2013-41322-P) and the Andalusian Government (BIO-396). DPD and IIA were funded by grants from the Spanish Ministerio de Economia y Competitividad (BFU2013-40866-P) and from the Junta de Andalucia (C2A). BV-B held a studentship from The Institute of Cancer Research. We acknowledge support of the publication fee by the CSIC Open Access Publication Support Initiative through its Unit of Information Resources for Research (URICI).
Availability of data and materials
The 4C-seq datasets supporting the results of this article have been deposited in the GEO database under accession number GSE69439 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?token=cvujaoowdnatbuv&acc=GSE69439). In addition, all Additional data are available in the figShare repository (https://figshare.com/articles/Vicente-Garc_a_2017_Additional_Figures/4880396).
CV-G: Drafting of the manuscript; acquisition, analysis and interpretation of 4C-seq data; analysis and interpretation of all data; critical revision of the manuscript. BV-B: Acquisition, analysis and interpretation of transgenic data; mapping translocations. II-A: Acquisition, analysis and interpretation of Virtual HiC data. SN: Acquisition, analysis and interpretation of 4C-seq data. RDA: Acquisition, analysis and interpretation of 4C-seq data. JJT: Critical revision of the manuscript; Analysis and interpretation of 4C-seq data. PWJR: Study concept and design; drafting of the manuscript; study supervision. DPD: Analysis and interpretation of Virtual HiC data; study supervision. JLG-S: Analysis and interpretation of 4C-seq data; study supervision. JJC: Study concept and design; transgenic generation; acquisition of transgenic data; analysis and interpretation of all data; study supervision; drafting of the manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Ethics approval and consent to participate
All animal experimentation was performed using protocols approved by the Universidad Pablo de Olavide Ethical Committee (Seville, Spain) and The Institute of Cancer Research Ethical Committee in accordance with Spanish Royal Decree 53/2013, European Directive 2010/63/EU, the United Kingdom Animals (Scientific Procedures) Act 1986, and other relevant guidelines.
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