Abstract
Genomic instability (GIN) can trigger cellular responses including checkpoint activation, senescence, and inflammation 1,2. Though extensively studied in cell culture and cancer paradigms, little is known about the impact of GIN during embryonic development, a period of rapid cellular proliferation. We report that GIN-causing mutations in the MCM2–7 DNA replicative helicase 3,4 render female mouse embryos to be dramatically more susceptible than males to embryonic lethality. This bias was not attributable to X-inactivation defects, differential replication licensing, or X vs Y chromosome size, but rather “maleness,” since XX embryos could be rescued by transgene-mediated sex reversal or testosterone (T) administration. The ability of exogenous or endogenous T to protect embryos was related to its anti-inflammatory properties 5. The NSAID ibuprofen rescued female embryos containing mutations not only in MCM genes but also Fancm, which like MCM mutants have elevated GIN (micronuclei) from compromised replication fork repair 6. Additionally, deficiency for the anti-inflammatory IL10 receptor was synthetically lethal with the Mcm4Chaos3 helicase mutant. Our experiments indicate that DNA replication-associated DNA damage during development induces inflammation that is preferentially lethal to female embryos, whereas male embryos are protected by high levels of intrinsic T.
Mutations that compromise DNA replication or replication-associated repair can cause replication stress (RS) and GIN 7,8. Resulting chronic DNA damage can lead to inflammation by activating the cGAS/STING pathway, potentially resulting in a “senescence-associated secretory phenotype” (SASP) 1,9,10. Little is known about consequences of fetal or maternal GIN-induced inflammation during gestation.
DNA replication requires the heterohexameric minichromosome maintenance complex (MCM2–7), constituting the catalytic core of the replicative helicase. Reduction of MCMs causes RS by decreasing dormant (“backup”) origins that are important for completing DNA replication when replication forks stall or collapse 11–13. Mice bearing the Chaos3 allele of Mcm4 (abbreviated Mcm4C3) have elevated micronuclei and are highly cancer prone 4. This allele causes GIN by destabilizing the MCM2–7 helicase and triggering post-transcriptional pan-reduction (~40%) of Mcm2–7 mRNAs and protein 3. Although Mcm4C3 homozygotes in strain C3H are fully viable, compound heterozygosity for certain other Mcm genes causes severe phenotypic consequences including pre- and postnatal lethality 3. Upon closer examination of those and additional breeding data, we noticed that females of the MCM-depleted, semi-lethal genotypes Mcm4C3/Gt, Mcm4C3/C3 Mcm2Gt/+ , Mcm4C3/C3 Mcm6Gt/+, and Mcm4C3/C3 Mcm7Gt/+ (Gt = gene trap allele) were drastically under-represented compared to males of the same mutant genotype (Fig. 1a; Tables S1, S2, S3, S4). There was no gender skewing associated with non-lethal genotypes (Mcm4C3/C3 Mcm3Gt/+ and Mcm4C3/C3 Mcm5Gt/+), i.e., those genotypes present in offspring at Mendelian ratios (Fig. 1a; Table S5) 3.
Fig. 1. Female-biased embryonic lethality in MCM-depleted mice.
(a) Female MCM-depleted mice are underrepresented at birth. Mice were bred to produce Mcm4C3/C3 (“C3/C3”) or Mcm4Chaos3 /Gt offspring (“C3/M4), some of which were heterozygous for null alleles in other MCMs (“M#”; for example, M2/+ = Mcm2Gt/+). Graphed are percent viability at birth of males and females for each of the indicated genotypes versus C3/C3 littermates. For Fancm, the viability is versus WT littermates. The numbers on or over the bars = # males or females of the indicated genotype, and the N values below equal the total number of newborns with that genotype. Some of the data for all genotypes except that involving M5 were reported in 3, but broken out by sex here and with added data that are enumerated in Extended Data Table 1 and Tables S1-S5. P-values are from a Chi-Squared test that females are underrepresented vs males from that genotype. “<>“ represents a significant two-sided Fisher Exact Test (C3/M4; P=0.011, C3/M6; P=0.018) between indicated groups in terms of the ability of Mcm3 heterozygosity to decrease sex bias. (b) Timing of female death during embryogenesis. E = embryonic day. Numbers above bars are viable XY:XX embryos genotyped (they sum to the “N” values). P-values determined from Chi-Squared probability.
To determine when Mcm4C3/C3 Mcm2Gt/+ females were dying during development, we conducted timed matings of Mcm4C3/C3 females to Mcm4C3/+ Mcm2Gt/+ males. Loss of Mcm4C3/C3 Mcm2Gt/+ embryos was first evident at E14.5, and was already skewed against females; the male:female ratios of Mcm4C3/C3 Mcm2Gt/+ embryos at E9.5, E12.5, E14.5 and birth were 1.0, 1.37, 2.0, and 3.11, respectively (Fig. 1b).
MEFs (mouse embryonic fibroblasts) bearing MCM mutations exhibit reduced dormant replication origins 14,15. To test if dormant origin reduction contributes to the female-biased lethality, Mcm3 heterozygosity was introduced into the semilethal genotypes. Mcm3 heterozygosity ameliorates several deleterious phenotypes of MCM-deficient mutant mice and cells by increasing chromatin-bound MCMs (MCM3 participates in nuclear export of MCMs) 3. This dramatically rescued viability of Mcm4C3/Gt and Mcm4C3/C3 Mcm6Gt/+ female embryos preferentially, increasing female viability from 0% to 27% in the former, and from 3% to 42% in the latter (Fig. 1a, Tables S1,S2). Mcm3 heterozygosity also increased viability of Mcm4C3/C3 Mcm2Gt/+ newborns from 30% to 72%, but both sexes were rescued approximately proportionately (Fig. 1a; Table S3); preferential female rescue may be related to overall degree of lethality in compound mutants (93%, 82% and 70% lethality for Mcm4C3/Gt , Mcm4C3/C3 Mcm6Gt/+ and Mcm4C3/C3 Mcm2Gt/+, respectively) 3.
We next hypothesized that the female-biased embryonic lethality was related to one of the following: 1) defects in X-inactivation caused by impaired or delayed DNA replication, 2) the larger size of the X (~171 Mb) vs the Y chromosome (~90 Mb), which might stress the compromised replication machinery, or 3) secondary sexual characteristics. Flow cytometric analysis of cells from E10.5 female embryos bearing an ubiquitously-expressed X-linked GFP transgene revealed no difference between non-lethal genotypes (Mcm4C3/+ Mcm2Gt/+; Mcm4C3/+ Mcm2+/+; Mcm4C3/C3 Mcm2+/+) and the sex-biased lethal genotype (Mcm4C3/C3 Mcm2Gt/+; Extended Data Fig. 1), indicating that X-inactivation occurs normally. To distinguish between hypotheses 2 and 3, a single experiment was performed. We induced sex reversal of XX Mcm4C3/C3 Mcm2Gt/+ embryos with an autosomal Sry transgene. Strikingly, this increased the proportion of XX Mcm4C3/C3 Mcm2Gt/+ mice from 20% to 48% (Fig 2a; Table S6). These results indicate that maleness, and not the presence of two X chromosomes per se, protects embryos from MCM deficiency. These data are consistent with the finding that preferential female embryo death occurs after sex determination (E9.5–12.5).
Fig. 2. Evidence that the anti-inflammatory activity of testosterone protects male embryos from genomic instability-induced lethality.
(a) Viability of genetically female (XX) Mcm4C3/C3 Mcm2Gt/+ or Fancm−/− embryos is rescued by Sry transgene-induced sex reversal (Sry Tg), and treatment of pregnant dams with either testosterone (“Testos”) or ibuprofen (“NSAID”). Values above each bar are total mice, and those inside bars are XX. Nontransgenics and transgenics in the Sry Tg experiment were from the same cross. The untreated mice in the testosterone and NSAID experiments are from Table S3 and also plotted in Fig. 1a. This aggregate value contains 8 male and 1 female Mcm4C3/C3 Mcm2Gt/+ offspring that were produced contemporaneous to the NSAID cohort. P values are from two-tailed F.E.T. or an unpaired, 2-tailed T-test. The Sry Tg and testosterone crosses involved an Mcm3Gt allele that was included to boost viability (but not sex skewing, see Fig. 1a) of the lethal genotypes. (b) Testosterone treatment does not affect Mcm mRNA, but does lower the inflammation markers Il6 and Ptgs2. Mcm4C3/C3 Mcm2Gt/+ MEFs (n=6: 3 male, 3 female) were treated with 10nM T for 1 hr, and mRNA collected 6 hrs later for qRT-PCR. Bars represent mean and error bars indicate standard deviation. Individual data points are indicated. (c) Same as (b), but protein was collected 24 hrs after T treatment, and Western analysis performed with indicated antibodies by stripping and re-probing the same blot. The experiment was repeated a minimum of 3 times with different MEF lines of the same genotype with similar results. For gel source data, see Supplemental Figure 1.
Since sex reversal rescued XX lethality, we hypothesized that testosterone (T) might be responsible. It is produced at high levels by Leydig cells in embryonic testes from ~E12.5 onward 16. We injected pregnant females daily with T beginning at E7.5, and found that the viability of XX Mcm4C3/C3 Mcm2Gt/+ E19.5 fetuses increased dramatically from 22% to 54% (Fig. 2a; Table S7). We speculated that T might protect MCM-deficient embryos by increasing replication capacity, given a report that the androgen receptor stimulates proliferation of prostate cancer cells by acting as a replication factor 17,18. However, we observed no increase of Mcm mRNA or chromatin-bound MCMs in T-treated MEFs (Fig. 2b, c), and no sex-specific differences in MCM2 or MCM4 protein levels in E13.5 fetuses or placentae of various genotypes (Extended Data Fig. 2).
Next, we hypothesized that T was ameliorating certain consequences of GIN in the Mcm mutants. In particular, elevated micronuclei, the signature phenotype of Mcm4Chaos3 mice 4, can trigger inflammation via the cGAS-STING pathway 19. T, a steroid hormone, suppresses the expression of pro-inflammatory cytokines while increasing the anti-inflammatory molecule IL10 5,20,21. Indeed, T treatment of Mcm4C3/C3 Mcm2Gt/+ MEFs caused >2–3 fold decreases in mRNAs for the pro-inflammatory cytokine IL6 and also PTGS2 (COX2), which is central for production of prostaglandins that cause inflammation and pain (Fig. 2b). Strikingly, administration of ibuprofen to pregnant females (from 7.5 days post-coitus onward in drinking water) completely abolished sex bias of Mcm4C3/C3 Mcm2Gt/+ offspring (Fig. 2a, Extended Data Table 1a) without affecting embryonic or placental MCM levels (Extended Data Fig. 2b, c).
While these data indicate that GIN-driven inflammation underlies preferential female embryonic lethality, we considered the possibility that unrelated alterations in gene expression by ibuprofen and the androgen receptor (which is strongly induced by T; Fig. 2c) 22,23 were responsible. We therefore took the orthogonal approach of increasing inflammation by ablating the receptor (Il10rb) for the anti-inflammatory molecule IL10, hypothesizing that this would exacerbate Mcm4C3/C3 Mcm2+/− lethality or sex bias. Remarkably, the genotype of Mcm4C3/C3 Il10rb−/− caused highly penetrant lethality to embryos of both sexes (Extended Data Table 1c). IL10 mediates a feedback loop under conditions of inflammation to induce degradation of Ptgs2/COX2 transcripts 24, and also counters the inflammation response triggered by the STING pathway 25. This synthetic lethality was rescued by treating pregnant dams with NSAID, increasing viability of Mcm4C3/C3Il10rb−/− offspring (both sexes) from 8.9% to 94% (Extended Data Table 1c).
Successful pregnancy requires suppression of inflammation at the maternal:fetal interface. Because homozygosity for Chaos3 alone causes a ~20 fold increase in micronucleated erythrocytes without decreasing viability in the C3H background4, and IL10 is thought to play a role in suppressing maternal inflammation at the fetal:maternal interface 26, we speculated that maternal genotype might influence viability of MCM compound mutant embryos. We mated females heterozygous for Chaos3 (Mcm4C3/+ Mcm2Gt/+) to Mcm4C3/C3 males (all data presented heretofore were from reciprocal crosses). Surprisingly, this cross abolished the sex bias against Mcm4C3/C3 Mcm2Gt/+ females (Fig. 3a; Extended Data Table 1b). We hypothesized that maternal homozygosity for Chaos3 imposes additional stress on the placentae of genetically susceptible female embryos, possibly via DNA damage-induced inflammation. We examined double strand break (DSB) levels (marked by γH2AX) in placentae of E13.5 embryos produced in various control and mutant reciprocal crosses. Regardless of fetal genotype, placentae from embryos within Mcm4C3/C3 dams had more γH2AX-positive cells than when dams were of any other genotype (Fig. 4). NSAID treatment did not reduce the level of γH2AX staining, consistent with the rescue effect being related to inflammation, not GIN per se (Fig. 4). We therefore hypothesized that GIN-induced placental inflammation might underlie the lethality in our mice. Consistent with this, we observed significant reductions in placental, but not embryonic MCM2 and MCM4 (especially MCM4) in Chaos3 mutant genotypes, regardless of maternal genotype or whether the dams were NSAID-treated (Extended Data Fig. 2a-c). Thus, placental cells may be particularly sensitive to DNA replication defects that trigger downregulation of MCM production and consequent increases in GIN and inflammation 27,28. RNA-seq analysis of male vs female placentae from either Mcm4C3/+Mcm2Gt/+ or Mcm4C3/C3 dams revealed increased expression of hallmark inflammation gene sets only in the lethal genotype combination of Mcm4C3/C3 Mcm2Gt/+ females from Mcm4C3/C3 dams (Fig. 3b; Extended Data Fig. 3). The major upregulated gene sets included EMT transition (commonly associated with inflammatory responses 29), allograft rejection, and interferon gamma response. All three of these categories contain genes involved in inflammation and the innate immune response (Extended Data Fig. 3). Overall, the results indicate that the combination of maternal and fetal GIN causes lethal levels of inflammation. However, it remains possible that the parental genotype-dependent, sex biased lethality may have an epigenetic component (i.e. imprinting).
Fig 3. Maternal GIN genotype impacts female embryo viability and placental inflammation.
(a) Lethality of female (XX) Mcm4C3/C3 Mcm2Gt/+ embryos is dependent upon maternal genotype. C3 = Mcm4C3 ; M2 = Mcm2Gt/+. Values above each bar are total mice, and those inside bars are XX. The P-value was calculated by a two-sided Fisher’s Exact Test. See Tables S2 and Extended Data Table 1b for primary data from the crosses. (b) Placentae of female E13.5 embryos with the Mcm4C3/C3 Mcm2Gt/+ lethal genotype have elevated expression of inflammation pathways when the dam has elevated GIN. RNA-seq was carried out on n=16 placentae: n=6 Mcm4C3/C3 Mcm2Gt/+ from Mcm4C3/C3 dams, n=6 from Mcm4C3/+ Mcm2Gt/+ dams, and n=4 from homozygous Mcm4C3/C3 matings. Equal numbers of male and females were used. Shown are heatmaps of GSEA (Gene Set Enrichment Analysis) analysis of RNA-seq data, using the Hallmarks dataset of the Molecular Signatures Database (MSigDB; http://software.broadinstitute.org/gsea/msigdb/collections.jsp). Only those Hallmark pathways that were significantly different between sexes (FDR <0.25, nominal P value<0.05) were used to generate the heatmap. Multiple pathways involving inflammation are upregulated in Mcm4C3/C3 Mcm2Gt/+ female vs male embryos from Mcm4C3/C3 dams, but not other combinations. Embryonic and maternal genotypes are listed at the top of the heatmaps.
Fig. 4. Dams with intrinsic GIN cause elevated DNA damage in the placenta.
γH2AX staining in placentae from the indicated maternal genotypes. Each dot represents a single placenta. A minimum of 2 litters was examined per mating, total number of placentae analyzed is indicated. Significance was by unpaired, 2-tail t-tests. Centre value=mean, Error bars = standard deviation. ns = not significant.
While the data presented thus far demonstrate that MCM depletion (e.g. Mcm2 hemizygosity) in conjunction with a destabilized replicative helicase in Chaos3 mice trigger inflammation and embryonic death, it is unclear exactly what defects are primarily responsible, and whether the sex-bias phenomena are entirely unique to these models. We therefore attempted to parse the key proximal defects that trigger the sex bias by exposing WT embryos to either exogenous RS alone or DSBs alone. Pregnant females, treated with hydroxyurea to induce RS, delivered pups without significant sex skewing (M:F 1.08; Table S8). Chronic exposure to ionizing radiation, which causes DSBs, also failed to produce a sex bias (M:F 1.00; Table S8). We then conjectured that replication-associated DNA damage that causes micronuclei might underlie the inflammation-driven lethality. Mice deficient for FANCM, involved in DNA replication fork repair, display elevated micronuclei 6 and underrepresentation of females 30. We also observed a bias against Fancm−/− females in heterozygote crosses (M:F 1.68; χ2 p = 0.03; Fig 1a, Extended Data Table 1d) that was rescued by ibuprofen treatment of dams (Fancm−/− M:F 1.13 vs Fancm+/+ 1.07; Fig. 2a, Extended Data Table 1d).
Our results indicate that DNA damage caused by defective DNA replication and/or replication-associated repair cause a level of inflammation compromising female embryos lacking anti-inflammatory protection of testosterone. We hypothesize that since both genetic models tested have elevated micronuclei, a known trigger of the cGAS-STING cytosolic DNA sensing pathway, that this may precipitate lethal inflammation in a key compartment(s) of the embryo and/or uterine environment. Future experiments exploiting mouse mutants and mosaics will help resolve these questions, and guide studies into whether similar phenomena occur in humans.
Methods
Mice.
All breeding and husbandry all crosses were performed in the same animal facility and room at Cornell’s Veterinary College (East Campus Research Facility), and under the same environmental conditions and health status. Use of mice was performed in compliance with all relevant ethical regulations, having been conducted under a protocol (0038–2004) approved by Cornell University’s Institutional Animal Care and Use Committee (IACUC). Sample sizes for original sex skewing observations, since they were taken from historical colony breeding data, were not planned, and selection of individuals was entirely genotype-based, thus not randomized. Sexing of animals was done before genotyping, thus there was no blinding. Sample sizes with T and ibuprofen were also not pre-determined, as potential effect size was unknown yet proved to be dramatic.
Testosterone Injections and Sex Reversal.
Mcm4C3/C3 Mcm2Gt/+ males were mated to Mcm4C3/C3 females and 100uL of a 3mg/ml solution of testosterone propionate (Sigma) was injected sub-cutaneously into the hind leg of pregnant females daily from E7.5 to E.16.5 (20µg/g/day). This dose has been shown to increase female fetal testosterone by 80% in a rodent model without serious toxicological effect 31. The testosterone propionate was dissolved in corn oil and filter sterilized prior to injection. MEFs were derived from E13.5 embryos using Mcm4C3/C3 Mcm2Gt/+ males mated to Mcm4C3/C3 females. MEFs were genotyped and treated with Plasmocin (InvivoGen) to prevent mycoplasma. For treatment of MEFs, a 50mM solution of testosterone propionate was prepared in ethanol and cells were treated with 10nM for 1 hour. The media was then removed and the cells collected at indicated timepoints. Sex reversal of XX Mcm4C3/C3 Mcm2Gt/+ embryos was carried out using an autosomally-linked Sry transgene (Tg(Sry129)4Ei) 32.
Ibuprofen Treatment.
Mcm4C3/C3 Mcm2Gt/+ males were mated to Mcm4C3/C3 females and at E7.5-E9.5 the pregnant females were provided with water bottles containing ibuprofen (Children’s Advil) 5mL(100mg) in 250mL. They were allowed to drink ad libitum (50–80mg/kg/day). Newborns were genotyped at birth for sex with Sry primers and Mcm mutation status. Control mice utilized the same male with another Mcm4C3/C3 female and no drug treatment. For Il10rb, the strain was obtained from Jax Mice (stock#005027) and backcrossed into the C3Heb/FeJ (Jax stock#000658) background for six generations (N6) before crossing into the Mcm4C3 strain for 2 additional generations (N2). Mcm4C3/C3Il10rb+/− males were mated to Mcm4C3/C3Il10rb+/− females and provided with ibuprofen as described above. Newborns were genotyped with primers for Il10rb (Table S9).
Genotyping.
Genomic DNA was isolated from animal tissue using the hot-shot lysis procedure 33. Genotyping PCR was carried out using Taq1 and gene-specific primer pairs (Table S9). For Chaos3 genotyping, the PCR products were digested with MboII to identify mutant alleles as Chaos3 but not wild-type alleles are digestible with this enzyme. For Mcm5, ES cells were verified using primers containing regions outside of the gene trap insertion to verify. To determine the sex of early embryos, primers for Sry (Sex-determining region Y) were used to identify males, females are Sry negative. Genotyping for Mcm2–7 genetraps has been previously described 3.
Generation of Mcm5 mutant mice.
Mcm5tm1a(KOMP)Mbp genetrap ES cells (Mcm5_F10, ESC#477873) were obtained from the Mouse Biology Program (MBP) at UC Davis and injected into B6(Cg)-Tyrc−2J/J blastocyst donors to generate chimeras. Disruption of Mcm5 was confirmed by PCR as described in genotyping section (Table S9). Following germline transmission, the mutation was backcrossed into C3H for ≥ 4 generations before crossing to C3H-Mcm4Chaos3 mice.
Generation of FancM mice.
Fancmem1/Jcs was generated using CRISPR/Cas9-mediated genome editing. In summary, an optimal guide sequence targeting the first exon of Fancm was designed using the mit.crispr.edu website. Oligos to generate the sgRNA DNA template were ordered from Integrated DNA Technologies (IDT) and the sgRNA was in vitro transcribed as described previously 34 (CRISPR-FancF: GAAATTAATACGACTCACTATAGGCCAGCTGGTAGTCGCGCACGGTTTTAGAGCTAGAAATAGC, CRISPR-FancR: CAAAATCTCGATCTTTATCGTTCAATTTTATTCCGATCAGGCAATAGTTGAACTTTTTCACCGTGGCTCAGCCACGAAAA). Embryo microinjection into C57BL/6J zygotes was performed as described previously 35 using 50ng/uL of sgRNA and 50ng/uL of Cas9 mRNA (TriLink Biotechnologies). The resulting 7bp deletion was identified via Sanger sequencing and subsequent genotyping was performed with primers sets specific to the mutant and wild-type alleles. (Table S9).
Flow cytometry to monitor X-inactivation.
A transgenic mouse 36 containing an X-linked EGFP was crossed to Mcm4Chaos3 mice, and FACS analysis of embryos was carried out as described in that citation. Mcm4C3/+ Mcm2Gt/+ males bearing an ubiquitously-expressed X-linked GFP transgene were bred to Mcm4C3/C3 females. E10.5 female embryos (littermates from 7 different pregnancies), all of which must bear the GFP transgene, were genotyped, dispersed into single cells, and analyzed by flow cytometry to determine the fraction of GFP+ cells. Theoretical maximum of GFP-positive cells in controls is 50%.
Quantitative real-time reverse transcription-PCR (qRT-PCR).
RNA was isolated from cells using a kit per manufacturer’s instructions (Zymo or Qiagen RNeasy). 500ng of RNA was reverse transcribed into cDNA using qScript (Quanta) and analyzed on an ABI7300 or a Bio-Rad CFX96 using the following primers and iTaq (Bio-Rad). All reactions were normalized to Gapdh and/or Tbp. Primer sequences are available in Table S10. Il6, Ptgs2, Mcm2, Mcm3, Mcm4, Mcm5.
RNA-seq.
Total RNA was isolated from E13.5 placentas by homogenizing placentas in RNA lysis buffer followed by column purification per manufacturers’ instructions (Omega Biotech). RNA sample quality was confirmed by spectrophotometry (Nanodrop) to determine concentration and chemical purity (A260/230 and A260/280 ratios) and with a Fragment Analyzer (Advanced Analytical) to determine RNA integrity. Ribosomal RNA was subtracted by hybridization from total RNA samples using the RiboZero Magnetic Gold H/M/R Kit (Illumina). Following cleanup by precipitation, rRNA-subtracted samples were quantified with a Qubit 2.0 (RNA HS kit; Thermo Fisher). TruSeq-barcoded RNAseq libraries were generated with the NEBNext Ultra II Directional RNA Library Prep Kit (New England Biolabs). Each library was be quantified with a Qubit 2.0 (dsDNA HS kit; Thermo Fisher) and the size distribution was be determined with a Fragment Analyzer (Advanced Analytical) prior to pooling. Libraries will be sequenced on a NextSeq500 instrument (Illumina). At least 20M single-end 75bp reads were generated per library. For analysis, reads were trimmed for low quality and adaptor sequences with cutadapt v1.8 using parameters: -m 50 -q 20 -a AGATCGGAAGAGCACACGTCTGAACTCCAG --match-read-wildcards. Reads were mapped to the mouse reference genome/transcriptome using tophat v2.1 with parameters: --library-type=fr-firststrand --no-novel-juncs -G <ref_genes.gtf>. For gene expression analysis: cufflinks v2.2 (cuffnorm/cuffdiff) was used to generate FPKM values and statistical analysis of differential gene expression 37. For the GSEA analysis, all expressed genes were analyzed using the Hallmarks dataset 38. The placental gene sets used were comparisons between male and female Mcm4C3/C3 Mcm2Gt/+ placentae from Mcm4C3/C3 dams or Mcm4C3/+ Mcm2Gt/+ dams, and male versus female Mcm4C3/C3 from Mcm4C3/C3 dams.
Immunoblotting.
Protein was isolated from E13.5 placentas and embryos by acetone precipitation from RNA-isolation buffer (Buffer RLT or TRK) and resuspending in SUTEB loading buffer (8M Urea, 1% SDS, 10mM EDTA, 10mM Tris-HCl, pH 6.8). Protein lysates were run on 4–20% SDS-PAGE acrylamide gels and transferred to PVDF membrane (Millipore). Immunoblots were probed with anti-Mcm2 (Epitomics/Abcam), anti-MCM2(Cell Signaling Technology), anti-androgen receptor (Epitomics/Abcam), anti-SMAD2/3(Cell Signaling), anti-p21(Santa Cruz), anti-MCM4(Cell Signaling Technology), anti-actin (Sigma). Secondary antibodies used included goat anti-rabbit-HRP (Cell Signaling) and goat anti-mouse-HRP (Sigma). Crescendo ECL substrate(Millipore) was used and immunoblots digitally scanned using a cDigit scanner. Quantification of immunoblots was performed using ImageStudio software.
γH2ax Staining.
Placentae from E13.5 embryos were dissected from individual embryos and washed in PBS. Decidua were separated from placenta and uterine tissue with fine forceps. Genotyping was carried out using a piece of the embryo. Placentae were flash-frozen in OCT and 10μM sections cut on a cryostat and affixed to slides. Sections were fixed for 10 minutes with 4% paraformaldehyde in PBS, and stained with mouse anti-γH2ax-phospho ser41 (Millipore) using a M.O.M kit and Biotin-Streptavidin blocking kit (Vector Labs) according to manufacturer’s instructions. Alexa-488 or Alexa 647-streptavidin (Invitrogen) was used to visualize. Slides were scanned using a Scanscope FL with a 20X objective. Images were quantified using Fiji or HALO(Indica Labs) and foci were detected as described 39 with an added size parameter to differentiate between nuclei and cytoplasmic signals 40
Hydroxyurea and IR treatment of embryos.
For irradiation experiments, pregnant females were irradiated with 5 Rads (50mGy), 3 times a week during gestation, beginning at E1.5. For HU experiments, hydroxyurea (Sigma) was dissolved at 10mg/ml in sterile 1X PBS for injection. Pregnant C3H females were subjected to daily i.p. injections of 30–50ug/kg beginning at E3.5. Control females received daily i.p injections of sterile 1X PBS alone. All pregnancies were carried to term and the number and sex of animals determined at birth.
Data Availability.
All data underlying the findings of this study are presented in the paper, except for RNA-seq data, which has been deposited into the GEO database (accession number GSE119710). Note that a source data file is online for the γH2AX and MCM protein quantifications.
Extended Data
Extended Data Fig. 1. X-inactivation is not perturbed in MCM mutant embryos.

Mouse female embryos bearing one X-linked GFP transgene were dispersed into single cells and examined by flow cytometry for GFP fluorescence. Control animals were female littermates with a genotype of Mcm4C3/+ Mcm2+/+ or Mcm4C3/C3 Mcm2+/+. The center line represents the mean, and error bars represent the standard deviation in GFP-positive cells among the individual embryos (N) used. There is no significance difference between the values by an unpaired 2-tailed T-test(P=0.926). C3 = Mcm4Chaos3; M2 = Mcm2Gt.
Extended Data Fig 2. Placental, but not embryonic MCM levels are decreased in MCM mutants independent of maternal genotype, and NSAID does not rescue MCM levels.
a) Representative westerns blots of protein lysates from E13.5 embryos and placentas of the indicated genotypes (top of each lane) were immunolabeled with antibodies against MCM2, MCM4, and beta actin. The samples came from dams of two genotypes indicated at the top of the panel. C3 = Mcm4Chaos3; M2 = Mcm2Gt. Note that MCM4 levels are particularly affected. The experiment was repeated twice for each maternal genotype. For gel source data, see Supplementary Figure 1. b) Placental MCM2 and MCM4 protein levels from the indicated maternal genotypes were quantified from western blots (including some other than those in “a”) that were imaged (see Methods) and normalized to actin and WT protein levels. Each plotted point represents a single placenta. P-values represent unpaired two-tailed T-test. Placentae corresponding to male or female Mcm4C3/C3 Mcm2Gt/+ genotype are indicated. Centre values represent the mean and error bars indicate standard deviation. c) Embryonic MCM2 and MCM4 protein levels were determined as in (b). Each plotted point represents a single embryo. Embryos corresponding to male or female Mcm4C3/C3 Mcm2Gt/+ genotype are indicated. The results were not significant (n.s.) by a one-way ANOVA.
Extended Data Fig 3. Sex specific altered expression of inflammation genes in mutants.
a) Heatmap of the ratio of FPKM of key genes from top ranking genes from the following 3 GSEA Hallmarks: EMT, allograft rejection, and interferon gamma response. The ratios are expressed as female:male for each of the indicated embryo and dam genotypes. Data is from RNA-seq on n=16 placentas; n=6 Mcm4C3/C3 Mcm2Gt/+ from Mcm4C3/C3 dams, n=6 from Mcm4C3/+ Mcm2Gt/+ dams, and n=4 from homozygous Mcm4C3/C3 matings. Equal numbers of male and females were used. C3 = Mcm4C3; M2 = Mcm2Gt/+. b) Maternal genotype affects the expression of inflammation genes. Plotted are the female:male FPKM values of C3/C3 M2/+ embryos for C3/C3 dams compared to C3/+ M2 dams for the same gene sets as in (a). The highest and lowest genes are all related to inflammation responses.
Extended Data Table 1. Segregation of genotypes from crosses.
a) Embryonic semilethality caused by the Mcm4C3/C3 Mcm2Gt/+ genotype is rescued by ibuprofen treatment of pregnant females. Cross: ♀ Mcm4C3/C3 X ♂ Mcm4C3/+ Mcm2Gt/+. Red numbers are plotted in Fig. 2A under “NSAID.” C3 = Chaos3. Data are from 29 litters. b) Embryonic semilethality caused by the Mcm4C3/C3 Mcm2Gt/+ genotype is affected by maternal genotype. Cross: ♀ Mcm4C3/+ Mcm2Gt/+ X ♂ Mcm4C3/C3 Red numbers are plotted in Fig. 3A under “C3/+ M2/+.” C3 = Chaos3, M2= Mcm2. Data are from 32 litters. c) Embryonic semilethality caused by the Mcm4C3/C3 Il10rb−/− genotype is rescued by ibuprofen treatment of pregnant females. Cross: ♀ Mcm4C3/C3 Il10rb+/− X ♂ Mcm4C3/C3 Il10rb+/−. d) Embryonic semi-lethality and female sex bias caused by the FancMem1Jcs/em1Jcs genotype (is rescued by ibuprofen treatment of pregnant females.) Cross: ♀ Fancmem1Jcs/+ X ♂ Fancmem1Jcs/+ . Red numbers are plotted in Fig. 2A.
| a | b | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mcm4C3/+ |
Mcm4C3/+ Mcm2Gt/+ |
Mcm4C3/C3 |
Mcm4C3/C3 Mcm2Gt/+ |
Total | Mcm4C3/+ |
Mcm4C3/+ Mcm2Gt/+ |
Mcm4C3/C3 |
Mcm4C3/C3 Mcm2Gt/+ |
Total | |||
| Males | 29 | 38 | 21 | 14 | 102 | Males | 31 | 39 | 29 | 10 | 109 | |
| Females | 17 | 38 | 26 | 14 | 95 | Females | 25 | 38 | 17 | 14 | 94 | |
| Total | 46 | 76 | 47 | 28 | 197 | Total | 56 | 77 | 46 | 24 | 203 | |
| %Female | 36.9 | 50 | 55.3 | 50 | 48.2 | %Female | 44.6 | 49.4 | 36.9 | 58.3 | 46.3 | |
| c | d | |||||||||||
|
Mcm4C3/C3 Il10rb−/− |
Mcm4C3/C3 Il10rb+/− |
Mcm4C3/C3 Il10rb+/+ |
Total | Fancm−/− | Fancm+/− | +/+ | Total | |||||
| Males | 1 | 15 | 3 | 19 | Males | 32 | 70 | 34 | 136 | |||
| Females | 0 | 17 | 9 | 26 | Females | 19 | 63 | 32 | 114 | |||
| Total | 1 | 32 | 12 | 45 | Total | 51 | 133 | 66 | 250 | |||
| %Female | 0 | 53.5 | 75 | 58 | %Female | 37 | 47 | 48 | 46 | |||
| +NSAID | +NSAID | |||||||||||
| Males | 7 | 16 | 5 | 28 | Males | 27 | 49 | 29 | 105 | |||
| Females | 9 | 21 | 10 | 40 | Females | 24 | 43 | 27 | 94 | |||
| Total | 16 | 37 | 15 | 68 | Total | 51 | 92 | 56 | 199 | |||
| %Female | 56 | 57 | 67 | 59 | %Female | 47 | 47 | 48 | 47 | |||
Supplementary Material
Acknowledgements.
We thank the Cornell Transgenic Core facility for help in producing the Fancm mutant mutant mice, and Jen Grenier from the RNA sequencing-seq Core. This work was supported by grants from NIH (R01 HD086609 and T32 HD057854 to JCS, the latter supporting MDW and JCB) and the Department of Defense (BC083376 to C-HC).
Footnotes
Competing interests. The authors declare no competing interests.
References
- 1.Rodier F et al. Persistent DNA damage signalling triggers senescence-associated inflammatory cytokine secretion. Nat. Cell Biol 11, 973–979 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Nyberg KA, Michelson RJ, Putnam CW & Weinert TA Toward maintaining the genome: DNA damage and replication checkpoints. Annu. Rev. Genet 36, 617–656 (2002). [DOI] [PubMed] [Google Scholar]
- 3.Chuang C-H, Wallace MD, Abratte C, Southard T & Schimenti JC Incremental genetic perturbations to MCM2–7 expression and subcellular distribution reveal exquisite sensitivity of mice to DNA replication stress. PLoS Genet. 6, e1001110 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Shima N et al. A viable allele of Mcm4 causes chromosome instability and mammary adenocarcinomas in mice. Nat. Genet 39, 93–98 (2007). [DOI] [PubMed] [Google Scholar]
- 5.Bianchi VE The Anti-Inflammatory Effects of Testosterone. Journal of the Endocrine Society 3, 91–107 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Luo Y et al. Hypersensitivity of primordial germ cells to compromised replication-associated DNA repair involves ATM-p53-p21 signaling. PLoS Genet. 10, e1004471 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Hills SA & Diffley JFX DNA replication and oncogene-induced replicative stress. Curr. Biol 24, R435–44 (2014). [DOI] [PubMed] [Google Scholar]
- 8.Zeman MK & Cimprich KA Causes and consequences of replication stress. Nat. Cell Biol 16, 2–9 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Kato K, Omura H, Ishitani R & Nureki O Cyclic GMP-AMP as an Endogenous Second Messenger in Innate Immune Signaling by Cytosolic DNA. Annu. Rev. Biochem 86, 541–566 (2017). [DOI] [PubMed] [Google Scholar]
- 10.Yang H, Wang H, Ren J, Chen Q & Chen ZJ cGAS is essential for cellular senescence. Proc. Natl. Acad. Sci. USA 114, E4612–E4620 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Ibarra A, Schwob E & Méndez J Excess MCM proteins protect human cells from replicative stress by licensing backup origins of replication. Proc. Natl. Acad. Sci. USA 105, 8956–8961 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Woodward AM et al. Excess Mcm2–7 license dormant origins of replication that can be used under conditions of replicative stress. J. Cell Biol 173, 673–683 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Ge XQ, Jackson DA & Blow JJ Dormant origins licensed by excess Mcm2–7 are required for human cells to survive replicative stress. Genes Dev. 21, 3331–3341 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kunnev D et al. DNA damage response and tumorigenesis in Mcm2-deficient mice. Oncogene 29, 3630–3638 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Kawabata T et al. Stalled fork rescue via dormant replication origins in unchallenged S phase promotes proper chromosome segregation and tumor suppression. Mol. Cell 41, 543–553 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Gondos B in Testicular Development, Structure and Function (eds. Steinberger A & Steinberger B) 3–20 (Raven Press, NY, 1980). [Google Scholar]
- 17.Litvinov IV et al. Androgen receptor as a licensing factor for DNA replication in androgen-sensitive prostate cancer cells. Proc. Natl. Acad. Sci. USA 103, 15085–15090 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Shi Y-K et al. MCM7 interacts with androgen receptor. Am. J. Pathol 173, 1758–1767 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Mackenzie KJ et al. cGAS surveillance of micronuclei links genome instability to innate immunity. Nature 548, 461–465 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Liva SM & Voskuhl RR Testosterone acts directly on CD4+ T lymphocytes to increase IL-10 production. J. Immunol 167, 2060–2067 (2001). [DOI] [PubMed] [Google Scholar]
- 21.Malkin CJ et al. The effect of testosterone replacement on endogenous inflammatory cytokines and lipid profiles in hypogonadal men. J. Clin. Endocrinol. Metab 89, 3313–3318 (2004). [DOI] [PubMed] [Google Scholar]
- 22.Grosse A, Bartsch S & Baniahmad A Androgen receptor-mediated gene repression. Mol. Cell. Endocrinol 352, 46–56 (2012). [DOI] [PubMed] [Google Scholar]
- 23.Palayoor ST et al. Gene expression profile of coronary artery cells treated with nonsteroidal anti-inflammatory drugs reveals off-target effects. J. Cardiovasc. Pharmacol 59, 487–499 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.MacKenzie KF et al. MSK1 and MSK2 inhibit lipopolysaccharide-induced prostaglandin production via an interleukin-10 feedback loop. Mol. Cell. Biol 33, 1456–1467 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ahn J, Son S, Oliveira SC & Barber GN STING-Dependent Signaling Underlies IL-10 Controlled Inflammatory Colitis. Cell Rep. 21, 3873–3884 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Cadet P, Rady PL, Tyring SK, Yandell RB & Hughes TK Interleukin-10 messenger ribonucleic acid in human placenta: implications of a role for interleukin-10 in fetal allograft protection. Am. J. Obstet. Gynecol 173, 25–29 (1995). [DOI] [PubMed] [Google Scholar]
- 27.Bai G, Smolka MB & Schimenti JC Chronic DNA Replication Stress Reduces Replicative Lifespan of Cells by TRP53-Dependent, microRNA-Assisted MCM2–7 Downregulation. PLoS Genet. 12, e1005787 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Chuang C-H et al. Post-transcriptional homeostasis and regulation of MCM2–7 in mammalian cells. Nucleic Acids Res. 40, 4914–4924 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Suarez-Carmona M, Lesage J, Cataldo D & Gilles C EMT and inflammation: inseparable actors of cancer progression. Mol. Oncol 11, 805–823 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Bakker ST et al. Fancm-deficient mice reveal unique features of Fanconi anemia complementation group M. Hum. Mol. Genet 18, 3484–3495 (2009). [DOI] [PubMed] [Google Scholar]
- 31.Wolf CJ, Hotchkiss A, Ostby JS, LeBlanc GA & Gray LE Effects of prenatal testosterone propionate on the sexual development of male and female rats: a dose-response study. Toxicol. Sci 65, 71–86 (2002). [DOI] [PubMed] [Google Scholar]
- 32.Eicher EM, Shown EP & Washburn LL Sex reversal in C57BL/6J-YPOS mice corrected by a Sry transgene. Philos. Trans. R. Soc. Lond. B, Biol. Sci 350, 263–8; discussion 268 (1995). [DOI] [PubMed] [Google Scholar]
- 33.Truett GE et al. Preparation of PCR-quality mouse genomic DNA with hot sodium hydroxide and tris (HotSHOT). BioTechniques 29, 52–54 (2000). [DOI] [PubMed] [Google Scholar]
- 34.Varshney GK et al. High-throughput gene targeting and phenotyping in zebrafish using CRISPR/Cas9. Genome Res. 25, 1030–1042 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Singh P, Schimenti JC & Bolcun-Filas E A mouse geneticist’s practical guide to CRISPR applications. Genetics 199, 1–15 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Hadjantonakis AK, Cox LL, Tam PP & Nagy A An X-linked GFP transgene reveals unexpected paternal X-chromosome activity in trophoblastic giant cells of the mouse placenta. Genesis 29, 133–140 (2001). [DOI] [PubMed] [Google Scholar]
- 37.Trapnell C et al. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat. Biotechnol 28, 511–515 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Subramanian A et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl. Acad. Sci. USA 102, 15545–15550 (2005). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Rinaldi VD, Bloom JC & Schimenti JC Whole mount immunofluorescence and follicle quantification of cultured mouse ovaries. J. Vis. Exp. (2018). doi: 10.3791/57593 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Schindelin J et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data underlying the findings of this study are presented in the paper, except for RNA-seq data, which has been deposited into the GEO database (accession number GSE119710). Note that a source data file is online for the γH2AX and MCM protein quantifications.






