53BP1 alters the landscape of DNA rearrangements and suppresses AID-induced B cell lymphoma
. Author manuscript; available in PMC: 2013 Aug 21.
SUMMARY
Deficiencies in factors that regulate the DNA damage response enhance the incidence of malignancy by destabilizing the genome. However, the precise influence of the DNA damage response on regulation of cancer-associated rearrangements is not well defined. Here we examine the genome-wide impact of tumor protein P53-binding protein 1 (53BP1) deficiency in lymphoma and translocation. While both activation-induced cytidine deaminase (AID) and 53BP1 have been associated with cancer in humans, neither AID over-expression nor loss of 53BP1 is sufficient to produce malignancy. However, the combination of 53BP1 deficiency and AID deregulation results in B cell lymphoma. Deep sequencing of the genome of 53BP1−/− cancer cells, and translocation capture sequencing (TC-Seq) of primary 53BP1−/− B cells revealed that their chromosomal rearrangements differ from those found in wild-type cells in that they show increased DNA end resection. Moreover, loss of 53BP1 alters the translocatome by increasing rearrangements to intergenic regions.
INTRODUCTION
Cancer genomes contain numerous aberrant features such as point mutations or chromosome deletions, duplications, inversions and translocations (Bignell et al., 2010). Some of these changes are unique to specific malignancies. For instance, hematopoietic malignancies, some sarcomas and some carcinomas carry characteristic chromosomal translocations which contribute to transformation by activating oncogenes, creating new oncogenic fusion genes or deleting tumor suppressors (Kuppers, 2005),(Nussenzweig and Nussenzweig, 2010),(Pasqualucci et al., 2001),(Kumar-Sinha et al., 2008).
DNA double strand breaks (DSBs) are necessary intermediates in chromosome translocations and other rearrangements. These lesions can occur as byproducts of normal metabolic processes, as a result of exposure to genotoxic agents, or as part of programmed gene diversification in lymphocytes (Gostissa et al., 2011),(Nussenzweig and Nussenzweig, 2010). Mature B lymphocytes are thought to be particularly prone to chromosomal translocations because they undergo programmed DNA damage during class switch recombination and somatic hypermutation (Kuppers, 2005),(Nussenzweig and Nussenzweig, 2010). These reactions are initiated by AID, an enzyme that introduces U:G mismatches in DNA (Muramatsu et al., 2000),(Revy et al., 2000),(Ramiro et al., 2006), (Franco et al., 2006). AID deaminates cytosines in ssDNA exposed during transcription (Chaudhuri et al., 2004),(Storb et al., 2007),(Pavri and Nussenzweig, 2011) and the resulting U:G mismatch can be processed by one of several DNA repair pathways to produce DSBs (Di Noia et al., 2007),(Stavnezer et al., 2008). Although AID predominantly targets immunoglobulin (Ig) genes, it also produces DSBs in a large number of other genes, in part by associating with SPT5 (suppressor of TY5 homolog) and the RNA exosome on stalled RNA polymerase II (Liu et al., 2008),(Pavri et al., 2010),(Yamane et al., 2011),(Basu et al., 2011)
AID-dependent DSBs are normally recognized by DNA damage response (DDR) proteins and repaired by non-homologous end joining (NHEJ). However, these DSBs can also serve as substrates for chromosome translocations (Gostissa et al., 2011),(Zhang et al., 2010),(Nussenzweig and Nussenzweig, 2010). 53BP1 is a DNA damage response protein that is recruited to DNA double strand breaks (DSBs) and is essential for their efficient repair. Consistent with its role in DSB repair, 53BP1 has been implicated in the genesis of human diffuse large B cell lymphoma and in double negative breast cancer (Takeyama et al., 2008),(Bouwman et al., 2010). Although loss of 53BP1 alone is insufficient to induce malignancy ((Morales et al., 2006) and own observation), combined loss of P53 and 53BP1 accelerates development of lymphomas and include antigen receptor translocation (Ward et al., 2005).
Why certain chromosome translocations are found in specific cancers is not entirely understood. Selection is an important factor, favoring events that enhance cell survival or proliferation. For example c-myc/IgH translocation, which is characteristic of human Burkitt’s lymphoma and mouse plasmacytoma, deregulates the expression of the c-myc proto-oncogene by placing it under the control of IgH regulatory elements leading to c-myc over-expression (Potter, 2003),(Kuppers, 2005),(Gostissa et al., 2011). However, selection is not the only determinant of translocation. The choice of translocation partner is in part determined by the frequency of DNA damage at a particular locus (Robbiani et al., 2008),(Hakim et al., 2012),(Schoenfelder et al., 2010),(Chiarle et al., 2011),(Klein et al., 2011). Moreover, altered repair in H2AX−/−P53−/−, NBS1−/−P53−/− or ATM−/− mice leads to increased propensity to develop translocations and malignancy (Zhang et al., 2010),(Jankovic et al., 2007),(Nussenzweig and Nussenzweig, 2010).
Here, we examine the role of 53BP1 in the genesis of lymphoma-associated genome rearrangements and chromosomal translocations in primary B cells. We find that 53BP1 alters the landscape of rearrangements and suppresses the development of AID-induced B cell lymphoma.
RESULTS
B cell lymphoma in 53BP1−/−IgkAID mice
Both AID expression and loss of 53BP1 have been associated with development of human B cell lymphomas (Kuppers, 2005),(Shaffer et al., 2002),(Okazaki et al., 2007),(Takeyama et al., 2008). However, neither 53BP1 mutation, nor AID over-expression alone is sufficient to induce B cell malignancy in mice (Ward et al., 2003),(Ward et al., 2005),(Robbiani et al., 2009),(Morales et al., 2006).To test the idea that the combination of deregulated AID expression and loss of 53BP1 is required for B cell lymphomagenesis we bred AID transgenic mice (IgkAID) (Robbiani et al., 2009) with 53BP1−/− mice (Ward et al., 2003). Consistent with previous work, 53BP1−/− mice did not develop lymphomas during an observation period of 12 months (Fig.1a and (Morales et al., 2006)). In contrast, during the same period 14 of the 28 53BP1−/−IgkAID mice died, of which 5 were analyzed and found to have lymphomas (Fig.1a and b). Of these, 4 were B cell lymphomas, all of which were surface immunoglobulin negative (sIg-) (Fig.1b and Fig.S1a). We conclude that 53BP1 suppresses the development of AID-induced B cell lymphoma.
Figure 1. 53BP1 prevents AID-induced B cell lymphoma with resected IgH loci.
(A) Survival curve for n=20 53BP1−/− and n=28 53BP1−/−IgkAID mice over a period of 12 months. (B) Phenotype of tumors from 53BP1−/−IgkAID mice. (C, D, E) Analysis of three surface immunoglobulin negative (sIg-) B cell tumors from 53BP1−/−IgkAID mice. Copy number variations within the IgH locus (C, E) and Igκ locus (D) are shown as dot plots. Significant changes in ploidy are visualized by colors (2N in green, <2N in blue, >2N in red). A region of >2N in IgH for tumor #1 reflects an inversion-related duplication as verified by structural variation (SV) analysis. (E) Magnification of a region in IgH showing the border of 2N to 0N. (F) PCR on genomic DNA (gDNA) from the three 53BP1−/−IgkAID tumors analyzed in C-E and on gDNA from six P53−/−IgkAID tumors described in (Robbiani et al., 2009). PCR was performed for regions spanning JH4, Eμ and Cμ as shown in the scheme above, and for a region within the Cd74 gene as a loading control. The sIg status of the tumors as identified by flow cytometry is indicated below. sIg-tumors from P53−/−IgkAID mice are plasmacytoma, which do not express Ig on their surface but harbor an intact IgH locus. See also Figures S1-3 and Table S1.
To further analyze the 53BP1−/−IgkAID lymphomas we performed whole genome sequencing of 3 B cell tumors. To control for genetic variation we subtracted variations found in the genomes of C57BL/6, 53BP1−/−, 129/Sv, and 17 other inbred strains of laboratory mice (Keane et al., 2011). The tumor genomes were primarily diploid with the exception of tumor 3, which carried a duplication of chromosome 14 and a ~40Mb duplication on chromosome 11 (Fig. S2b).
As expected for B cell lymphomas, sequence and copy number variation analysis showed alterations in the Ig genes (Fig.1c and d). Two tumors appeared to be derived from B cell precursors because the VH and Vk gene segments were in germline configuration (Fig.1c and d). The third tumor was more mature B cell lymphoma displaying a deletion of the entire VH region 5’ to IgH-V2-6 (GM16594_201) and a deletion of the Vk locus from Igκ-V2-112 to Igκ-J1 (Fig. 1c and d). However, all three of the lymphomas were unusual in that the JH and Eμ regions were also deleted (Fig.1e). To confirm the sequencing results, we amplified the JH4, Eμ, and Cμ regions of the IgH locus from 53BP1−/−IgkAID lymphomas by PCR. As a control for PCR amplification, we used B cell tumors with intact IgH loci from P53−/−IgkAID mice, (Robbiani et al., 2009). In contrast to the control, 53BP1−/−IgkAID lymphomas showed loss of JH4 and Eμ regions of the IgH locus (Fig.1f and S1b). Finding that the JH4-Eμ region is deleted in 53BP1−/− IgkAID lymphomas is consistent with the observation that components of the DNA damage response protect DSBs from resection during V(D)J recombination and CSR (Bothmer et al., 2010),(Difilippantonio et al., 2008),(Helmink et al., 2011).
In addition to deletions in IgH genes, and similar to what has been reported for other cancer genomes, 53BP1−/−IgkAID B cell lymphomas showed numerous rearrangements (Fig.S2a). There were 313, 221 and 248 acquired structural variations including deletions, inversions and translocations in tumors 1, 2 and 3 respectively (Table S1). Although AID target genes such as Pax5, Ebf1, Il4ra and Irf4 (Fig S3) (Hakim et al., 2012),(Klein et al., 2011),(Liu et al., 2008) were involved in only a minority of these structural variations, analysis by Monte Carlo Simulation revealed that the proximity of rearrangement breakpoints to AID target genes was significantly increased over randomly expected (p<0.01). Further, chromosomal rearrangements in 53BP1−/−IgkAID lymphomas differed from those reported for other cancers (Stephens et al., 2009), and from AID-induced rearrangements found in wild-type B cells (Klein et al., 2011), in that the breakpoints were biased to intergenic regions (Fig.S1c). Thus, loss of 53BP1 results in a unique cancer genome landscape.
Genome-wide rearrangements in the absence of 53BP1
The increased resection in the JH4-Eμ region and bias towards intergenic rearrangements in 53BP1−/−IgkAID B cell lymphomas might be intrinsic or result from selection during the transformation process. To examine the role of 53BP1 in recombinational repair of DSBs in primary B lymphocytes in the absence of selection, we produced translocation capture (TC-Seq) libraries from 53BP1 mutant B lymphocytes and compared them to wild type controls (Oliveira et al., 2012),(Klein et al., 2011).To produce the TC-Seq libraries we created a DSB at c-myc by infecting activated B cells that carry an I-SceI recognition site in c-myc (MycI) with a retrovirus encoding for the I-SceI meganuclease (Robbiani et al., 2008). Rearrangements between the I-SceI break in c-myc and DSBs elsewhere in the genome were amplified, and paired-end libraries were generated and analyzed by high-throughput sequencing (Oliveira et al., 2012),(Klein et al., 2011).
236,575 unique rearrangements from 100 million AID over-expressing (AIDrv) 53BP1−/−MYCI cells (hereafter referred to as 53BP1−/−AIDrv) and 33,029 rearrangements from 100 million 53BP1−/−MYCIAID−/− cells (hereafter referred to as 53BP1−/−AID−/−) were analyzed and compared to 53BP1 proficient controls (Fig.2a and (Klein et al., 2011)). Similar to the wild type controls, we found rearrangements between the I-SceI-induced DSB in c-myc (chromosome 15) and every other chromosome in the genome in both 53BP1−/−AIDrv and 53BP1−/−AID−/− samples. However, the majority of rearrangements were mapped to chromosome 15 indicating that the bias for intra-chromosomal rearrangements is maintained in the absence of 53BP1 (Klein et al., 2011),(Chiarle et al., 2011),(Lieberman-Aiden et al., 2009),(Stephens et al., 2009),(Mahowald et al., 2009). This intra-chromosomal bias is most evident within 350kb around I-SceI site (Klein et al., 2011),(Chiarle et al., 2011).The profile of rearrangements in the 350kb region around the I-SceI site on chromosome 15 was indistinguishable in the presence or absence of 53BP1 irrespective of AID expression (Fig.2b). Because of the bias to proximal recombination, a region encompassing 50Kb on either side of the DSB was omitted from further analysis.
Figure 2. Comparative analysis of rearrangements discovered by TC-Seq in 53BP1−/− B cells.
(A) Comparison of the percentage of rearrangements to each chromosome in 53BP1+/+AIDrv and 53BP1−/−AIDrv TC-Seq libraries (upper graph) and 53BP1+/+AID−/− and 53BP1−/−AID−/− TC-Seq libraries (lower graph); (B) Profile of rearrangements around I-SceI site in AIDrv (upper graph) or AID−/− (lower graph) TC-Seq libraries in the presence or absence of 53BP1.
In addition to the bias for chromosomal rearrangement in cis (to chromosome 15), AID over-expressing wild-type B cells also showed a large number of rearrangements to chromosome 12 (Fig.2a). This pattern results from the presence of the IgH locus on chromosome 12, which is the primary target of AID (Klein et al.). In contrast to the wild-type cells, rearrangements to chromosome 12 are far less apparent in AID over-expressing 53BP1 deficient cells (Fig.2a). Specifically, rearrangements to IgH locus represent 10.3% of all rearrangements to chromosomes other than chromosome 15 in wild-type samples but only 0.76% in the absence of 53BP1.
Chromosome rearrangements and transcription
Transcriptionally active genes tend to segregate together in euchromatic regions of the nucleus (Kalhor et al., 2011),(Lieberman-Aiden et al., 2009),(Schoenfelder et al., 2010),(Sproul et al., 2005). TC-Seq experiments revealed that I-SceI induced DSBs in c-myc or IgH in B lymphocytes preferentially translocate to transcriptionally active genes (Klein et al., 2011),(Chiarle et al., 2011). Similarly, cancer associated rearrangements are preferentially genic (Stephens et al., 2009). On the other hand, the rearrangements in AID-induced 53BP1 deficient lymphomas are biased towards intergenic regions (Fig.S1c).
To determine whether the altered preference for intergenic rearrangements in 53BP1 deficient lymphomas is due to selection we analyzed the rearrangements in TC-Seq libraries produced from primary B cells cultured for only a short time in vitro (Fig.3a). The frequency of intergenic rearrangements was significantly increased in 53BP1−/−AID−/− libraries compared to wild type (54.1 % vs. 50.07% respectively; P<0.0001). This bias for intergenic rearrangements was even more pronounced in 53BP1−/−AIDrv samples, partly due to the relative decrease in rearrangements to the IgH locus (54% vs. 45% in wild type; P<0.0001). Consistent with this observation, the enrichment of genic rearrangements at transcription start sites (TSS) found in wild-type cells was not apparent in 53BP1 deficient samples (Fig.3b) (Klein et al., 2011). Finally, the preference for transcribed genes among genic rearrangements was less significant in 53BP1 deficient than in wild-type samples (for example fe=1.2 vs. fe=1.4 for medium transcribed genes) (Fig.3c). We conclude that rearrangement bias for genic regions and actively transcribed genes is decreased in the absence of 53BP1.
Figure 3. Rearrangement bias towards genic regions, transcriptional start sites (TSS) and actively transcribed genes is decreased in the absence of 53BP1.
(A) Rearrangements in 53BP1+/+AID−/− and 53BP1−/−AID−/− TC-Seq libraries were categorized as genic or intergenic regions; (B) Composite density profiles of rearrangement in genic and intergenic regions in the presence or absence of 53BP1; TSS = transcription start site; TTS = transcription stop site. (C) Frequency of rearrangements in genes that are silent or with various levels of transcription; expected frequency based on the random model is presented as dashed line; p<0.0001 for all samples. See also Figures S4 and S5.
To determine whether the differences in translocation partner choice were due to differences in transcription, we compared the transcriptome of 53BP1 deficient and wild-type B cells by RNA-Seq and Polymerase II chromatin immunoprecipitation sequencing (ChIP-Seq). We found that neither the RNA content nor polymerase loading was significantly different between 53BP1 deficient and wild-type B cells (S=3.2536e+10 for Pol II ChIP-Seq and S=3932969 for RNA-Seq)(Fig.S4). To attempt to evaluate global nuclear architecture in 53BP1−/− cells we performed chromosome conformation capture sequencing (4C-Seq) using IgH as bait (Fig.S5). We found no differences that could explain the skewing of the 53BP1 deficient samples toward intergenic region rearrangement, instead there was significant correlation between contacts in wild-type and 53BP1−/− cells (Spearman’s r=0.67)(Fig.S5). However, the resolution of the technique is only to 200Kbs and therefore it is insufficiently sensitive to make definitive conclusions about alterations in genic regions, which average only 16.3Kb. We conclude that transcription and large-scale chromosome contacts are not significantly altered in the absence of 53BP1.
Translocation hotspots
To determine whether rearrangement hotspots differ in the absence of 53BP1, we searched the 53BP1−/− libraries for local accumulations of reads (Klein et al., 2011) and compared them to 53BP1 sufficient controls (Table S2). The 27 hotspots in 53BP1−/−AID−/− resembled those found in AID−/− samples in that 9 were in the Pvt1 gene, which is adjacent to c-myc, and 7 in the vicinity of cryptic I-SceI sites (Klein et al., 2011),(Chiarle et al., 2011) (Fig.4a, bottom left). In addition, there was a highly significant overlap between the 79 rearrangement hotspots found in 53BP1−/−AIDrv and 53BP1+/+AIDrv libraries that involved AID target gene sites (Klein et al., 2011),(Chiarle et al., 2011) (Fig.4a). In agreement with the reduced rearrangements to genic regions in the absence of 53BP1 (Fig.3), hotspots were less frequent in genic regions for 53BP1−/− cells compared to 53BP1+/+ irrespective of AID expression (Fig.4a). We conclude that 53BP1 deficiency changes the landscape of rearrangement hotspots resulting in increased probability of rearrangement to intergenic regions.
Figure 4. Rearrangement hotspots.
(A) Comparative analysis of hotspots in 53BP1+/+ and 53BP1−/− B cells; overlap of hotspots (left) or genic hotspots (right); percentage of genic and intergenic hotspots (bottom). (B) Hotspot profile: Comparison of translocation frequency and translocation distribution in γ3 and γ 1 immunoglobulin (Ig) switch regions in the presence or absence of 53BP1. (C) Translocation density and distribution in 16 prominent non-Ig hotspots; center of the hotspot is designated as 0kb. (D) Screen shots of translocations present at immunoglobulin heavy chain locus and Ly6 gene locus. See also Figure S6 and Table S2.
DNA end resection
53BP1 is required for protection of broken DNA ends from resection during class switch recombination(Bothmer et al., 2010), and it facilitates homologous recombination in the absence of BRCA1 by allowing formation of ssDNA (Bunting et al., 2010). To determine whether there is increased resection of DNA ends during chromosome rearrangements in the absence of 53BP1 we compared the shape and size of the hotspots obtained from 53BP1−/−AIDrv and 53BP1+/+AIDrv libraries. Visual inspection of translocations involving the IgH locus revealed that the hotspots were broader in the absence of 53BP1, with events extending both 5′ and 3′ when compared to wild-type (Fig.4b). Furthermore, while 53BP1+/+AIDrv sample had a defined peak of translocations in switch regions, the 53BP1 deficient sample had two peaks located 5′ and 3′ to the wild-type peak, consistent with DNA resection (Fig.4b). Visual inspection of non-Ig hotspots also showed broader profiles in the absence of 53BP1 suggestive of resection (Fig.4d and Fig.S6). To quantify this effect we analyzed the distribution of translocations in the 16 prominent hotspots present 53BP1+/+AIDrv and compared them to 53BP1−/−AIDrv samples (Fig. 4c). This analysis shows that in the wild-type translocations spread ~10kb on the either side of the hotspot peak, while in the absence of 53BP1 they reach up to 20kb upstream and downstream of the hotspot peak. Our results suggest that in the absence of 53BP1 DSBs are resected more extensively compared to wild-type before joining.
DISCUSSION
DSBs destabilize the genome because they serve as substrates for chromosome rearrangements and translocations (Nussenzweig and Nussenzweig, 2010). Under physiologic circumstances, DSBs are recognized by the MRE11-RAD50-NBS1 complex (MRN). Once recruited to a break, MRN activates ataxia telangiectasia mutated kinase (ATM) resulting in deposition of histone γ–H2AX and in recruitment of the mediator of DNA damage checkpoint 1 (MDC1), RNF8, RNF168 and 53BP1. The assembly of these proteins at sites of DSBs produces a positive feedback signal that reinforces ATM activation, and expansion of repair foci that contain γ–H2AX and 53BP1 (Lee et al., 2005). Ultimately, these foci mark sites of DNA damage and facilitate repair. We have explored the effects of 53BP1 deletion on rearrangements genome-wide. Our experiments show that 53BP1 contributes to shaping the landscape for genome rearrangements by suppressing rearrangements to intergenic regions and by limiting the loss of genetic information at DSBs.
53BP1 protects the genome from damage by a number of different mechanisms. For example, 53BP1 is required for normal resolution of DNA repair foci (Anderson et al., 2001),(Rappold et al., 2001),(Schultz et al., 2000). In its absence, repair foci are slow to resolve, and this is hypothesized to increase the availability of DSBs for abnormal genomic rearrangements (Fernandez-Capetillo et al., 2002),(Anderson et al., 2001),(Schultz et al., 2000). Although 53BP1 has been associated with cancer in humans (Takeyama et al., 2008),(Bouwman et al., 2010),(DiTullio et al., 2002), 53BP1 deficiency alone is not sufficient to induce B cell lymphoma in mice (Morales et al., 2006),(Muto et al., 2006),(Robbiani et al., 2009),(Shen et al., 2008). However, the combination of increased DSB formation by AID deregulation and inefficient DSB repair by in 53BP1−/− B cells induces B cell lymphoma.
How might 53BP1 contribute to malignancy? Cancer genomes contain large numbers of mutations, chromosome rearrangements and translocations (Bignell et al., 2010). In all cancers studied to date, these events are enriched in the transcribed portions of the genome or euchromatin (Stephens et al., 2009). This bias is not due to selection, because an identical bias is seen in primary B cells that are induced to undergo rearrangement in vitro (Klein et al., 2011),(Chiarle et al., 2011). The disproportionate rearrangement in euchromatin is thought to be due to at least two factors: first, euchromatin is more accessible to agents that damage DNA; second, euchromatic regions of the genome tend to be in close proximity and therefore more likely to rearrange with other euchromatic regions than to heterochromatin (Lieberman-Aiden et al., 2009). Rearrangements in 53BP1−/−IgkAID lymphomas and primary 53BP1−/− B cells are unusual because they tend to favor heterochromatin. This bias is not due to general remodeling of the genome as determined by 4C-Seq, and therefore altered chromosome contacts cannot explain the intergenic rearrangement bias found in 53BP1−/− B cells.
The peculiar nature of the genome rearrangements in 53BP1−/−IgkAID B cell lymphomas and primary B cells is consistent with the suggestion that it contributes to resolution of DNA repair foci, and by inference DSBs, in heterochromatin (Noon et al., 2010). 53BP1 dependent amplification of MRE11/NBS1 increases the concentration of ATM at heterochromatic breaks, which in turn leads to phosphorylation of KAP1. ATM dependent KAP1 phosphorylation has been shown to induce chromatin relaxation of the region surrounding the break in vitro, which is thought to make DSBs more available to the repair apparatus (Ziv et al., 2006),(Noon et al., 2010). Our observation that the incidence of heterochromatic rearrangements is increased in dividing B cells that are deficient in 53BP1 indicates that this factor contributes directly to maintaining the genomic integrity by facilitating proper repair of heterochromatic DSBs thereby making these breaks less likely to undergo rearrangement.
An additional mechanism by which 53BP1 appears to shape rearrangements genome-wide involves protection of DSBs (Bunting et al., 2010),(Bouwman et al., 2010),(Bothmer et al., 2010),(Hakim et al., 2012). Loss of 53BP1 is associated with increased DNA end resection, and deposition of Replication protein A (RPA) at the site of the break (Hakim et al., 2012), which favors repair by homologous recombination (Symington and Gautier, 2011),(Bunting et al., 2010),(Bothmer et al., 2010), and alternative nonhomologous end-joining (a-NHEJ) (Bothmer et al., 2010). Genome-wide comparison of the boundaries of translocation hotspots found in wild-type and 53BP1 deficient cells suggest that loss of 53BP1 increases the extent of DNA end resection. Signatures of DNA end resection were also evident in the 53BP1−/−IgkAID lymphomas, which had extensive deletions in the IgH locus spanning Eμ to Cμ region.
Thus, 53BP1 safeguards the genome by facilitating repair and minimizing loss of essential genetic material that might encode essential housekeeping genes or tumor suppressor genes. The increase in DNA end resection might also account for the heterochromatic bias in rearrangements by migrating the DSB away from the original site of damage in euchromatin to flanking regions of heterochromatin.
EXPERIMENTAL PROCEDURES
Mice
Mice bearing I-SceI recognition sites in the first intron of c-myc (MycI/I) (Robbiani et al., 2008) were crossed to 53BP1−/− (Ward et al., 2003) and to AID−/−(Muramatsu et al., 2000) and then intercrossed to obtain 53BP1−/−MYCI/I and 53BP1−/−MYCIAID−/− mice for experiments. 53BP1−/−IgkAID mice were generated by intercrossing of 53BP1−/− (Ward et al., 2003) and IgkAID (Robbiani et al., 2009) mice. All experiments were performed in accordance with protocols approved by the Rockefeller University and National Institutes of Health (NIH) Institutional Animal Care and Use Committee.
B cell cultures
Resting B lymphocytes were isolated from mouse spleens by immunomagnetic depletion with anti-CD43 MicroBeads (Miltenyi Biotech) and cultured at 0.5 × 106 cells/ml in RPMI medium. B cells were stimulated by addition of 500ng/ml RP105 (BD Pharmingen), 25 μg/ml lipopolysaccharide (LPS) (Sigma) and 5 ng/ml mouse recombinant IL-4 (Sigma). Retroviral supernatants were harvested 72 hours after co-transfection of BOSC23 cells with pCL-Eco and pMX-IRES-GFP-derived plasmids encoding for I-SceI-mCherry or AID-GFP. B cells were spinoculated at 1150 × g for 1.5 hr in the presence of 10 μg/ml polybrene at 20 and 44 hours after initiation of culture. After 4 hr at 37°C, viral supernatants were replaced with LPS and IL-4 in supplemented RPMI. For dual infection, retroviral supernatants were added simultaneously. Dually infected B cells were sorted for double positive cells after a 96 hour culture period using a FACSAria (Becton Dickson).
TC-Seq libraries and computational analysis
Translocation libraries were made as described (Oliveira et al., 2012). Briefly, genomic DNA was extracted with phenol/chloroform and then fragmented by sonication at low power for 7 cycles (30″ on/30″ off) in a Bioruptor (Diagenode) to yield a 500–1350bp distribution of DNA fragments. DNA was blunted by End-It DNA Repair Kit (Epicentre) and A-tailed. DNA fragments were then ligated to linkers. Native loci were eliminated by restriction digestion with I-SceI. Pooled linker-ligated DNA was divided into 2 equal parts for semi-nested ligation-mediated PCR using biotinylated forward or reverse primers. Forward and reverse enrichment streams were kept separate for the entire remainder of the protocol. Computational analysis of TC-Seq libraries was done as described (Klein et al., 2011).
Chromatin Immunoprecipitation and sequencing (ChIP-Seq)
ChIP-Seq was performed as described. In brief, cells were fixed with 1% paraformaldehyde at 37°C for 10 minutes followed by sonication. Chromatin fragments were then immunoprecipitated with antibodies specific for serine 5-phosphorylated RNA Polymerase II (Abcam). Immunoprecipitates were processed following Illumina’s protocol and sequenced on a Genome Analyzer.
Flow cytometry
Moribund mice were analyzed for tumor development by necropsy. Single cell suspensions were made from tumors and analyzed by flow cytometry as previously described (Robbiani et al., 2009). All antibodies used were from BD.
PCR
Genomic DNA (gDNA) from B cell tumors of 53BP1−/−IgkAID and P53−/− IgkAID mice (Robbiani et al., 2009) was analyzed by qPCR as described (Robbiani et al., 2009) using the following primers: 5′-AGAATGGCCTCTCCAGGTCT-3′ and 5′-TGCAATGTTCAGAAAACTCCATA-3′ for amplification of JH4, 5′-ACCTGGGAATGTATGGTTGTGGCT -3′ and 5′-TTACCATTTGCGGTGCCTGGTTTC-3′ for amplification of Eμ, 5′-ACCTGGCAACCTATGAAACCCTGA-3′ and 5′-AACACTAGCCACACCCTTAGCACT-3′for amplification of Cμ, 5′-TGACCAACGCGACCTCATCTCTAA-3′ and 5′-AAGGGCTCTCTGCTGGTATTCACA-3′ for amplification of Cd74. Amplification products were analyzed additionally by gel electrophoresis.
Whole-genome library generation and analysis
Whole-genome libraries were produced according to the Paired-end Sample Preparation kit (Illumina) protocol with minor modifications. In brief, 5 μg gDNA from three 53BP1−/−IgkAID sIg-B cell tumors, C57/BL6 tails, 53BP1−/− spleenocytes and 129/Sv embryonic stem cells was sonicated to an average fragment size of 500bp, respectively. For converting DNA ends into blunt ends the End-it DNA end repair kit (Epicenter Biotechnologies) was used. Purification steps, addition of dATP to 3′ DNA ends and adapter ligation was performed according to the Illumina protocol. Post adapter ligation DNA fragments were separated on a 2% agarose gel and separated by electrophoresis. 538-575bp fragments were extracted from gels, purified and used for pre-amplification by PCR according to the Illumina protocol. Purified PCR products were analyzed for their quality by Bioanalyzer (Agilent) and subjected to paired-end sequencing.
Structural Variation Analysis
Structural Variation discovery was performed using Hydra-SV (Quinlan et al., 2010) using a two step tiered alignment strategy using mouse genome (NCBI 37/mm9) as reference. BWA aligner with default parameters (Li and Durbin, 2009) was used in the first alignment tier and Novoalign in the second tier. SVs were annotated regarding repeats and genic regions using intersectBed software from BEDtools suite (Quinlan and Hall, 2010) and RepeatMasker and RefSeq track from UCSC Genome Browser. Circular plots of genomic translocations were generated using Circos software (Krzywinski et al., 2009). Monte Carlo Simulation was performed using shuffleBed software from BEDTools package to generate N random translocation lists (N=10,000) from our original translocation list (in this case, composed only by translocations within 1MB around AID target genes). The shuffleBed program chose a new location in the same chromosome for each of the original intervals while preserving its size. The distance to the closest AID target gene was calculated for each translocation in the original and random list. The distance was calculated from the median point of each translocation partner to an AID target gene. Then, the sum of distances from each random list was compared with the sum of distances from our original translocation list. A P-value was derived by counting the number of times that the sum of original translocation distances was equal or higher than the sum of shuffled translocation distances divided by N.
Copy Number Variation Analysis
Copy Number Variantion anaysis was performed using Control-FreeC (Boeva et al., 2011) software without normal control and alignments produced by BWA in the first tier. CNVs plots per chromosome were generated using R software.
Chromosome conformation capture on chip (4C) followed by deep sequencing
The 4C assay was performed as previously described (Hakim et al., 2012). In brief, ten million mouse B cells were crosslinked in 2% formaldehyde at 37 °C for 10 min and the reaction was quenched by the addition of glycine. Cells were then washed with cold PBS and lysed and nuclei were incubated at 37 °C for 1 h in 500 μl of restriction buffer (New England DNA digestion was performed with 400 U of HindIII or BglII (New England Biolabs) at 37 °C overnight. After heat inactivation (65 °C for 30 min), the reaction was diluted to a final volume of 7 ml with ligation buffer containing 100 U T4 DNA Ligase (Roche) and incubated at 16 °C overnight. Samples were then treated with 500 μg Proteinase K (Ambion) and incubated overnight at 65 °C to reverse formaldehyde crosslinking. DNA was then purified by phenol extraction and ethanol precipitation. For circularization, the ligation junctions were digested with Csp6I (Fermentas) or DpnII (New England Biolabs) at 37 °C overnight. After enzyme inactivation and phenol extraction, the DNA was religated in a 7-ml volume (1,000 U T4 DNA Ligase, Roche). Three micrograms of 4C library DNA was amplified with Expand Long template PCR System (Roche). Thermal cycle conditions were DNA denaturing for 2 min at 94 °C, followed by 30 cycles of 15 s at 94 °C, 1 min at 60 °C, 3 min at 68 °C, and a final step of 7 min at 68 °C. Baits were amplified with inverse PCR primers as follows: IgH with HindIII: IgH_R_4C 5′-CCAGACATGTGGGCTGAGAT-3′, Igh_Hind_Read 5′-CTACCCACCTAACTCCAAGC-3′; 4C amplified DNA was micro-sequenced with the Illumina platform.
Supplementary Material
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HIGHLIGHTS.
53BP1 prevents AID-induced B cell lymphoma.
53BP1 suppresses DNA resection during chromosomal rearrangement genome-wide.
53BP1 interferes with chromosomal rearrangements to intergenic regions.
ACKNOWLEDGEMENTS
All members of the Nussenzweig laboratory for discussions. Klara Velinzon and Yelena Shatalina for cell sorting, Thomas Eisenreich and David Bosque for help with mice. The work was supported by a NIH grant to M.C.N #AI037526. N.F. was a Fellow of the Leukemia and Lymphoma Society. M.C.N. is a Howard Hughes Medical Institute Investigator.
Footnotes
Accession Numbers: The TC-Seq datasets, 4C datasets and whole genome sequencing datasets are deposited in SRA (http://www.ncbi.nim.nih.gov/sra) under accession numbers SRA061477. RNA-Seq and PolII Chip datasets are deposited at Gene Expression Omnibus database (GEO accession number: GSE42350) at http://www.ncbi.nlm.nih.gov/geo/.
Supplemental Data Supplemental Data include 6 figures and two tables and can be found as a combined word document online at xxxx.
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