Summary
As humans age, normal tissues, such as the esophageal epithelium, become a patchwork of mutant clones. Some mutations are under positive selection, conferring a competitive advantage over wild-type cells. We speculated that altering the selective pressure on mutant cell populations may cause them to expand or contract. We tested this hypothesis by examining the effect of oxidative stress from low-dose ionizing radiation (LDIR) on wild-type and p53 mutant cells in the transgenic mouse esophagus. We found that LDIR drives wild-type cells to stop proliferating and differentiate. p53 mutant cells are insensitive to LDIR and outcompete wild-type cells following exposure. Remarkably, combining antioxidant treatment and LDIR reverses this effect, promoting wild-type cell proliferation and p53 mutant differentiation, reducing the p53 mutant population. Thus, p53-mutant cells can be depleted from the normal esophagus by redox manipulation, showing that external interventions may be used to alter the mutational landscape of an aging tissue.
Keywords: TP53, stem cell, cell competition, somatic mutation, differentiation, NFE2L2, mitochondria, oxidative stress, ionizing radiation, cell tracing
Graphical Abstract
Highlights
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Cell tracking shows low-dose ionizing radiation drives differentiation in esophagus
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Low-dose radiation acts via redox stress without activating the DNA repair pathway
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p53 mutant cells do not differentiate after irradiation and outcompete normal cells
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Antioxidant plus radiation depletes p53 mutant cells by improving normal cell fitness
Normal human esophagus contains p53 mutant progenitors. Fernandez-Antoran and colleagues show that p53 mutant progenitors outcompete their wild-type neighbors after low-dose ionizing radiation. This effect is reversed by antioxidant pretreatment. p53 mutant cells can be displaced from normal tissues via the improvement of the competitive fitness of wild-type progenitors.
Introduction
Normal tissues progressively accumulate cells carrying somatic mutations, some of which are linked to neoplasia and other diseases (Fuster et al., 2017, Martincorena et al., 2015, Suda et al., 2018, Yizhak et al., 2018, Zink et al., 2017). This process is exemplified by human esophageal epithelium (EE), in which mutations generated by cell-intrinsic processes colonize the majority of normal epithelium by middle age (Martincorena et al., 2018, Yokoyama et al., 2019). The most common mutations are under strong positive selection, meaning that there is an excess of protein altering over silent mutations within each gene. This indicates that these mutations confer a competitive advantage over wild-type cells and drive clonal expansions in normal tissue (Alcolea et al., 2014, Alcolea and Jones, 2015, Hall et al., 2018, Murai et al., 2018).
We speculated that, as in other systems of competitive selection, altering the tissue environment may change the relative fitness of particular mutations and their prevalence in the tissue. In this study, we focused on p53 (human TP53, mouse Trp53) mutations because these are the most enriched during malignant transformation. p53 is mutated in 5%–10% of normal EE but in almost all esophageal squamous cell carcinomas (ESCCs) (Martincorena et al., 2018, Cancer Genome Atlas Research Network et al., 2017). This argues that ESCC emerges from the p53 mutant cell population in normal epithelium and that mutation of p53 is required for cancer development.
To investigate the effect of environment on mutational selection, we used mouse EE as a model tissue. This consists of layers of keratinocytes. Proliferation is confined to the lowest, basal cell layer, whereas the upper cell layers contain non-dividing cells that progressively differentiate as they migrate toward the tissue surface, where they are shed (Alcolea et al., 2014, Doupé et al., 2012, Frede et al., 2016; Figure 1A). Although apoptosis is negligible in normal epithelium, cells are continually lost by shedding throughout life, creating a requirement for continuous cell production in the basal layer to maintain cellular homeostasis. This is achieved by a single population of progenitor cells that divide to generate either two progenitor daughters that remain in the basal layer, two differentiated daughters that exit the basal layer, or one cell of each type (Doupé et al., 2012, Marques-Pereira and Leblond, 1965). The outcome of an individual progenitor division is unpredictable, but the probabilities of each outcome are balanced so that, across the population of progenitors, the average cell division generates equal proportions of progenitor and differentiated cells, maintaining cellular homeostasis (Figure 1A).
These insights into normal progenitor cell behavior are key to understanding the dynamics of mutant clones and their selection. Clones carrying neutral mutations that do not alter cell behavior are likely to be lost from the tissue within a few rounds of cell division because, if all progenitor cells divide to produce two differentiated cells, the clone will be lost from the tissue by shedding (Figure 1B). By chance, however, a few neutral mutant clones will expand to a size where the differentiation of all cycling cells within them is unlikely, enabling them to persist in the epithelium (Figure 1B; Doupé et al., 2012). Such neutral behavior contrasts with clones harboring positively selected mutations that give the mutant cells a competitive advantage because of the average mutant progenitor division generating more progenitor than differentiated cells (Figure 1C; Alcolea et al., 2014, Frede et al., 2016, Murai et al., 2018). This results in an increased proportion of persistent clones than is seen with neutral mutations (Figure 1C). Furthermore, because there is no restriction of the lateral spread of clones within the basal layer, such clones may expand over a large area (Alcolea et al., 2014, Doupé et al., 2012). Conversely, mutations that tilt the average division outcome toward differentiation have an increased likelihood of loss by shedding and will be outcompeted by wild-type cells.
Insight into normal and mutant cell behavior in EE has come from genetic lineage tracing studies in transgenic mice (Figure S1; Alcolea et al., 2014, Alcolea and Jones, 2013, Doupé et al., 2012, Frede et al., 2016). Here we apply this technique to test whether the selection of p53 mutant clones is altered by oxidative stress resulting from low-dose ionizing radiation (LDIR) with doses similar to those from medical imaging and environmental contamination (Demb et al., 2017, Hasegawa et al., 2015). We find that LDIR exposure promotes the expansion of p53 mutant clones. However, when LDIR is combined with antioxidant treatment, wild-type cell fitness exceeds that of the p53 mutants, which are depleted from the tissue.
Results
LDIR Drives Wild-Type Progenitor Differentiation in EE
We began by determining the effects of a range of whole-body ionizing radiation (IR) doses on EE in wild-type mice. IR exposure led to a dose-dependent increase in double-strand breaks (DSBs) and a decrease in proliferation 24 h after exposure (Figures S2A–S2J). We selected 50 mGy, equivalent to 3–4 computed tomography (CT) scans, for further study (Demb et al., 2017). This dose resulted in an average of one DSB in every 5 cells and did not change proliferation marker expression 24 h after irradiation or induce apoptosis (Figures S2C, S2D, S2G–S2J, and S2K–S2M).
To track the behavior of esophageal progenitor cells, we used a highly sensitive genetic lineage tracing assay. Yellow fluorescent protein (YFP) expression was induced by genetic recombination in individual progenitor cells in AhcreERTRosa26flEYFP/WT (RYFP) transgenic mice (Figures 2A and S1A). YFP expression was inherited by the progeny of the labeled cell, forming a clone. Analysis of the number and location of cells in multiple clones reveals cell behavior (Alcolea and Jones, 2013, Clayton et al., 2007, Doupé et al., 2012; Figures 2A and 2B). A week after YFP induction, mice were exposed to 50 mGy IR, after which clone sizes were measured by 3D confocal imaging (Figure 2C). 24 h after LDIR, YFP-expressing clones contained a significantly higher proportion of differentiated, suprabasal cells and “floating” clones lacking basal cells destined to be shed than those in non-irradiated animals (Figures 2D and 2E). Basal cell density (cells per area) was reduced, but no radiation-induced apoptosis was detected (Figures 2F and S2K–S2M). These changes were consistent with progenitor cells differentiating and leaving the basal layer over the 24 h after irradiation (Figures 2F, S2E, S2F, S2K–S2M, S3K, and S3L). By 48 h after exposure, the proportion of proliferating basal cells and the size of clones rose (Figures S3H and 2D). These results argue that LDIR induces basal cell differentiation followed by increased compensatory proliferation.
In parallel with genetic lineage tracing, we also performed short-term lineage tracing using ethinyl deoxyuridine (EdU) in animals exposed to LDIR (Frede et al., 2016, Marques-Pereira and Leblond, 1965). A pulse of EdU was used to label the DNA of progenitors in S phase of the cell cycle, allowing us to examine the behavior of a synchronized cohort of proliferating cells. EdU is passed on to the progeny of the labeled cells when they divide, allowing pairs of labeled cells from each division to be visualized by confocal imaging of EE (Figures S3A and S3B). 24 h after 50 mGy irradiation, the proportion of differentiated EdU-labeled cells was significantly increased compared with controls (Figure S3C). There was no change in the total number of EdU cells, indicating no increase in cell division (Figure S3D). The density of cells in the basal layer was reduced in irradiated mice and consistent with an increase in suprabasal cell density unmatched by an increase in proliferation (Figures S3E and S3F). By 48 h after exposure, the total number of EdU+ cells was higher in irradiated mice than in control mice, indicating an increase in cell division compensating for basal cell differentiation.
Consistent with a delayed onset of proliferation, measuring the proportion of basal cells in S phase by giving mice EdU 1 h before culling revealed an increase in S phase cells 48 h after irradiation (Figures S3G and S3H). By 10 days, EE in irradiated mice had returned to homeostasis, with a similar proportion of S phase basal cells and basal cell density as control animals (Figure S3I). We concluded that both genetic and EdU lineage tracing indicate that LDIR alters cell dynamics in EE, inducing a wave of basal cell differentiation followed by increased proliferation that restores the tissue to homeostasis (Figure 2G). A similar delay in cell division following differentiation of nearby cells has also been observed in the epidermis (Mesa et al., 2018).
We then assessed whether the induction of differentiation was a direct effect of LDIR on EE cells or an indirect consequence of irradiating another cell type. To this end, we established primary 3D keratinocyte cultures from explants of murine EE and exposed them to 0 or 50 mGy LDIR (Figure 2H). We observed a substantial increase in the proportion of suprabasal cells expressing the differentiation marker KRT4 24 h after irradiation (Figure 2I). There was no detectable radiation-induced apoptosis (Figures S4A–S4C). EdU lineage tracing results showed increased differentiation and proliferation paralleling the changes 48 h after LDIR exposure in vivo (Figures 2J and 2K). This confirms that LDIR acts directly on esophageal keratinocytes to induce differentiation.
Mitochondrial Redox Balance Is Altered after 50 mGy of LDIR in Primary Mouse Keratinocytes
Next we investigated the mechanisms by which LDIR acts on esophageal basal cells using primary 3D keratinocyte cultures. One possibility is activation of the cellular DNA damage response (DDR), which has been shown to promote differentiation in some cell lineages (Sherman et al., 2011). However, despite LDIR generating a number of DSBs similar to that seen in vivo, we found no detectable induction of the DNA DDR pathway, as assessed by levels of phosphorylated p53, CHK1, and CHK2 proteins after 50 mGy irradiation (Figures S4D–S4F). In contrast, a 2-Gy dose had a robust effect on DDR protein phosphorylation (Figure S4F). This reveals that LDIR is unlikely to act via the DDR pathway.
An alternative mechanism of inducing differentiation is LDIR-induced oxidative stress because ionizing radiation can result in a prolonged increase in the production of reactive oxygen species by mitochondria (Azzam et al., 2012, Rodrigues-Moreira et al., 2017). Mitochondria are also key players in the regulation of keratinocyte differentiation (Bhaduri et al., 2015, Hamanaka et al., 2013, Motohashi et al., 2004, Wakabayashi et al., 2003). We speculated that LDIR may act by dysregulating the mitochondrial redox state in esophageal cells. To test this, we introduced a mitochondrially targeted redox-sensitive fluorescent sensor, Mito-Grx1-roGFP, into primary EE cultures (Gutscher et al., 2008; Figures 3A and 3B). The fluorescence characteristics of the sensor changed after exposing the cells to LDIR, indicating increased mitochondrial oxidation (Figures 3C and 3D). These changes were abolished by treating cells with the reducing agent DTT, confirming that they were linked to the mitochondrial oxidation state (Figure 3E). We also treated cells with the oxidant hydrogen peroxide (H2O2), finding that a dose that induces similar levels of mitochondrial oxidation as 50 mGy irradiation also drives basal cell differentiation, as assessed by staining for the differentiation marker KRT4 and lineage tracing with EdU (Figures 3F–3I).
The above findings are consistent with LDIR driving differentiation via changes in mitochondrial oxidation. If this is the case, then we might expect cells in which the responses to oxidative stress are disabled because of the lack of the master regulator of the cellular oxidative stress response, the transcription factor Nrf2 (Nfe2l2), to be insensitive to LDIR. We analyzed cultures of wild-type EE using RNA sequencing, finding strong induction of transcripts linked to keratinocyte differentiation within 1 h of exposure to 50 mGy, which became more pronounced 24 h after irradiation (Figures 3J, S4G, and S4H). However, in cultures of EE from Nrf2−/− mice, there were no statistically significant changes in transcription following 50 mGy irradiation (Figures 3L and S4I). This suggests that an intact cellular oxidative stress response pathway is required for LDIR-induced differentiation.
Antioxidant Treatment Abolishes NRF2 Nuclear Translocation and Radiation-Induced Differentiation In Vivo
Motivated by our observations in cultures, we set out to test whether LDIR acted via oxidative stress in vivo. We began by immunostaining EE from irradiated and control mice for phospho-serine40 NRF2 protein, which accumulates in the nucleus of cells following an oxidative challenge (Huang et al., 2002, Jiang et al., 2015). We found nuclear staining in basal layer cells 24 h after LDIR exposure, consistent with increased oxidative stress (Figures 4A and 4B). Next we investigated whether treating mice with the antioxidant N-acetyl cysteine (NAC) would alter the effect of LDIR on EE. NAC treatment at a dose that blocked the accumulation of nuclear NRF2 prevented radiation-induced differentiation of basal cells following 50 mGy IR (Figures 4C–4I).
The p53∗/WT Mutant Population Expands after Single Exposure or Multiple Exposures to LDIR
Having established that LDIR alters wild-type cell dynamics in EE, we set out to see whether it might influence the selection of cells carrying mutations that drive clonal expansion in the human esophagus. We focused on p53 as a key a regulator of cellular responses to oxidative and other stresses that is commonly mutated in normal human EE and is almost ubiquitous in ESCC (Martincorena et al., 2018). In addition, both humans and mice with germline heterozygous p53 mutations are at an increased risk of developing esophageal tumors (Kruiswijk et al., 2015, Shirai et al., 2002). We first investigated the effect of LDIR on p53 mutant clones in EE using lineage tracing in AhcreERTp53flR245W-GFPWT transgenic mice, hereafter called p53∗/WT (Murai et al., 2018). In these animals, cre-mediated inducible genetic recombination results in heterozygous expression of the mouse equivalent of the human TP53R248W mutant in scattered single cells (Figures S1B and S1C). This p53 mutant has properties distinct from a null allele and is frequently found in keratinocyte-derived cancers (Song et al., 2007, Zerdoumi et al., 2017). In induced p53∗/WT mice, p53∗-expressing cells can be tracked because they express a GFP reporter. One week after p53∗ induction, animals were exposed to 50 mGy IR (Figures 5A and 5B). We found that p53∗/WT clones were significantly larger and had fewer differentiated and more basal cells than both unirradiated p53∗/WT mice and p53WT/WT clones in RYFP control animals. (Figures 5C and 5D). These changes were more marked after a course of five 50-mGy exposures over 30 days; the size of p53∗/WT clones increased substantially, and there was 4-fold increase in the population of p53 mutant basal cells in the epithelium (Figures 5E–5G). The enlarged clones again contained a higher proportion of basal cells than unirradiated controls, pointing to a persistent radiation-induced bias in cell fate from differentiation toward proliferation (Figure 5H). To test this hypothesis, we performed short-term EdU lineage tracing of cells in which a pulse of EdU was delivered prior to the final radiation exposure, allowing the behavior of mutant progenitors to be compared with adjacent unrecombined p53 wild-type cells in the same animal (Figure 5E). This revealed that cycling p53 mutant progenitors were less likely to differentiate than their wild-type equivalents (Figure 5I). We also compared the effects of a series of ten exposures of 50 mGy LDIR with a single 500-mGy dose. Repeated low doses resulted in a dramatic increase in p53∗/WT clone size compared with the single large dose, indicating that the same total dose is more effective at expanding the p53∗/WT population when given as multiple small exposures (Figures 5J–5L). This reveals that a single exposure or multiple LDIR exposures act as positive selective pressure for p53∗/WT cells in normal EE, based on the resistance of mutant cells to radiation-induced differentiation.
The p53∗/WT Mutant Population Is Resistant to Radiation-Induced Differentiation
We next investigated the basis of the competitive advantage of p53∗/WT over wild-type cells following LDIR, speculating that the mutant cells may be resistant to the radiation-induced alteration in mitochondrial redox state seen in wild-type cells. In keeping with this hypothesis, primary cultures of p53∗/WT EE exhibited lower baseline levels of mitochondrial oxidation than wild-type cells (Figure 5M), and these were little changed in the mutant following exposure to 50 mGy LDIR (Figure 5N). This suggested that p53∗/WT may express higher levels of cellular antioxidants, protecting them from the effects of LDIR in a manner similar to NAC treatment of wild-type cells. In keeping with this hypothesis, RNA sequencing (RNA-seq) analysis of mutant cultures revealed minimal change in the global transcriptome or transcription following LDIR (Figures S5A and S5B). We noted that transcription of the p53∗ allele was unaltered by LDIR and that, in contrast to wild-type cells, differentiation associated transcripts were not upregulated by irradiation of mutant cultures (Figures S5C–S5E). Both unirradiated and LDIR-treated p53∗/WT cells showed substantially higher levels of transcripts encoding oxidative stress response genes compared with p53WT/WT cells (Figure S5F).
To further test whether the competitive advantage of p53∗/WT over wild-type cells was mediated by differences in their response to oxidative stress, we examined mixed cultures containing both p53 wild-type and mutant cells (Figure S6A). Treatment with LDIR or H2O2 resulted in expansion of the mutant population at the expense of wild-type cells (Figures S6B and S6C). The competitive advantage of the p53 mutant cells was abolished by exposing the cultures to NAC.
The p53∗/WT Mutant Population Decreases after Combined Antioxidant Treatment and Several LDIR Exposures
Taken together, the findings above led us to conclude that the heightened resilience of p53 mutant cells to oxidative stress explains their selection over wild-type cells in EE exposed to LDIR. This motivated us to test whether NAC treatment could also block LDIR-driven mutant clone expansion in vivo in p53∗/WT mice (Figure 6A). We found that NAC treatment alone had no significant effect on the burden of p53∗/WT-induced mutant basal cells in EE (Figures 6B and 6C). Remarkably, however, rather than simply rescuing the effect of LDIR on mutant cell expansion, NAC treatment resulted in a substantial decrease in the proportion of p53∗/WT mutant basal cells in EE (Figure 6D). This change was accompanied by a significant shift from basal to differentiated cells and an increase in the proportion of floating mutant clones with no remaining basal cells, arguing that mutant clones were being lost by differentiation and shedding (Figures 6E and 6F).
To gain more insight into the cellular mechanisms of p53 mutant clone loss in animals treated with NAC and LDIR, we used short-term lineage tracing with EdU, allowing us to track the fate of proliferating mutant and wild-type cells in the same mouse. We found that, 48 h after EdU labeling, the proportion of differentiated EdU-positive cells was significantly higher in mutant than in wild-type cells (Figures 6G and 6H). Correspondingly, we found that the proportion of basal cells expressing the proliferation-associated antigen Ki67 was reduced in mutant compared with wild-type cells (Figure 6I). These findings were consistent independent of whether EdU labeling was performed after 2 or 5 doses of LDIR (Figures S6D–S6G). We conclude that the loss of competitive fitness of mutant relative to wild-type cells is due to a shift in the outcome of cell division. p53∗/WT mutant basal cells are less likely to produce proliferating daughters than wild-type cells, resulting in depletion of p53 mutant clones, allowing wild-type cells to recolonize areas of the basal layer previously occupied by p53∗/WT clones (Figure 6J).
Discussion
These results reveal that external factors can modify clonal selection in normal tissues by altering the competitive balance between mutant and wild-type cells. Redox stress induced by LDIR acts as selective pressure by driving wild-type cells to differentiate. However, high-level expression of endogenous antioxidants in p53 mutant basal cells protects them against radiation-induced differentiation. Loss of wild-type cells from the basal layer facilitates the expansion of mutant clones. Treating animals with an exogenous antioxidant, NAC, protects wild-type cells from LDIR-induced differentiation and turns the tables on mutant clones, which have an increased likelihood of loss by shedding under these conditions.
It is notable that antioxidant treatment alone has no effect on p53 mutant clones in EE. Indeed, in humans, antioxidants have not only been proven to be ineffective in human cancer prevention studies but may increase all-cause mortality (Bjelakovic et al., 2012); the combination of antioxidant treatment followed by a pro-oxidant challenge might remodel the normal tissue mutational landscape in a beneficial manner. Antioxidants may also mitigate the effects of planned LDIR exposure on p53 mutant clones. More generally, in light of the observation that some aging tissues are patchworks of mutant clones, our results reveal that external interventions that raise the competitive fitness of wild-type cells above that of mutants may be an attractive option for depleting tissues of potentially harmful mutations.
Finally, our results highlight the potential effect of repeated exposure to small doses of ionizing radiation such as what may be encountered by patients having frequent CT scans. Such low doses may have a negligible mutagenic effect but, by altering the dynamics of normal tissues with a high burden of mutant clones, may modulate the risks of neoplastic and other diseases.
STAR★Methods
Key Resources Table
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
---|---|---|
Antibodies | ||
Caspase 3 | Abcam | Cat# ab2302; RRID: AB_302962 |
Histone H2A.X (phospho Ser139) | Millipore | Cat# 05-636; RRID:AB_309864 |
53BP1 | Novusbio | Cat# NB100-304; RRID:AB_10003037 |
GFP/YFP | Thermo Fisher Scientific | Cat# A10262; RRID:AB_2534023 |
Cytokeratin 4 | Abcam | Cat# ab9004; RRID:AB_306932 |
alpha-Tubulin | Cell signaling | Cat# 2125; RRID:AB_2619646 |
Ki67 | Abcam | Cat# ab15580; RRID:AB_443209 |
Histone H3 (phospho Ser10) | Abcam | Cat# ab14955; RRID:AB_443110 |
Nrf2 (phospho Ser40) | Abcam | Cat# ab76026; RRID:AB_1524049 |
Chk1 | Santa Cruz | Cat# sc-8408; RRID:AB_627257 |
Chk1 (phosphor Ser345) | Cell Signaling | Cat# 2348; RRID:AB_331212 |
Chk2 | Cell Signaling | Cat# 2662; RRID:AB_2080793 |
Chk2 (phospho Thr68) | Cell Signaling | Cat# 2661; RRID:AB_331479 |
p53 | Vector Laboratories | Cat# VP-P956; RRID: AB_2335917 |
p53 (phospho Ser15) | Cell signaling | Cat# 9284; RRID: AB_331464 |
p38 MAPK | Cell signaling | Cat# 9212; RRID:AB_330713 |
p38 MAPK (phosphor Thr180/Tyr182) | Cell signaling | Cat# 9215; RRID:AB_331762 |
Alexa Fluor 647 Wheat Germ Agglutinin | Invitrogen | Cat# W32466 |
Alexa Fluor 647 anti-human/mouse CD49f | BioLegend | Cat# 313610; RRID:AB_493637 |
Alexa Fluor 488 Donkey Anti-Chicken | Jackson ImmunoResearch | Cat# 703-545-155; RRID:AB_2340375 |
Alexa Fluor 555 Donkey Anti-Mouse | Thermo Fisher Scientific | Cat# A-31570; RRID:AB_2536180 |
Alexa Fluor 555 Donkey Anti-Rabitt | Thermo Fisher Scientific | Cat# A-31572; RRID:AB_162543 |
Alexa Fluor 647 Donkey Anti-Rabitt | Thermo Fisher Scientific | Cat# A-31573; RRID:AB_2536183 |
Alexa Fluor 488 Donkey Anti-Mouse | Thermo Fisher Scientific | Cat# A-21202; RRID:AB_141607 |
Bacterial and Virus Strains | ||
Adeno-CMV-iCre | Vector Laboratories | Cat# 1045 |
Chemicals, Peptides, and Recombinant Proteins | ||
β-Napthoflavone | MP Biomedicals | Cat# 156738 |
Tamoxifen | Sigma Aldrich | Cat# N3633 |
Fish Skin gelatin | Sigma Aldrich | Cat# G7765 |
Bovine Serum Albumin | Merk Millipore | Cat# 126575 |
Donkey serum | Sigma Aldrich | Cat# D9633 |
N-Ethylmaleimide | Sigma Aldrich | Cat# 04259-5G |
Sodium Hidroxide | VWR | Cat# 191373M |
N-Acetyl L-Cysteine | LKT Labs | Cat# A0918 |
Hydrogen Peroxide 30% | Merk Millipore | Cat# 107298 |
DMEM | Thermo Fisher Scientific | Cat# 11971025 |
DMEM/F-12 | Thermo Fisher Scientific | Cat# 31330 |
HBSS | GIBCO | Cat#14175-053 |
Insulin | Sigma Aldrich | Cat# I5500 |
Adenine | Sigma Aldrich | Cat# A3159 |
Hydrocortisone | Calbiochem | Cat# 386698 |
Cholera toxin | Sigma-Aldrich | Cat# C8052 |
Epidermal growth factor | PeproTech | Cat# 100-15 |
Apo-Transferrine | Sigma-Aldrich | Cat# T2036 |
Fetal calf serum | PAA Laboratories | Cat# A15-041 |
Penicillin-Streptomycin | Sigma Aldrich | Cat# P0781 |
Amphotericin B | Sigma Aldrich | Cat# A2942 |
Protease and Phosphatase inhibitor | Thermo Fisher Scientific | Cat# 78415 |
40, 6-diamidino-2-phenylindole (DAPI) | Sigma Aldrich | Cat# D9542 |
Polybrene | Sigma Aldrich | Cat# H9268 |
Trypsin/EDTA | Sigma Aldrich | Cat# T4174 |
RIPA buffer | Thermo Fisher Scientific | Cat# 89900 |
Pierce BCA Protein Assay Kit | Thermo Fisher Scientific | Cat# 23227 |
Critical Commercial Assays | ||
Click-iT EdU imaging | Life technologies | Cat# C10086 |
RNeasy Mini kit | QIAGEN | Cat# 74106 |
Lipofectamine 2000 | Thermo Fisher | Cat# 11668-019 |
QuickSTART Bradford Dye reagents | BioRAD | Cat# 500-0202 |
Maxi Prep Endotoxin free kit | QIAGEN | Cat# 12362 |
Wes Simple | ProteinSimple | Cat# P/N 031-108 |
QIAamp DNA Micro Kit | QIAGEN | Cat# 56304 |
Deposited Data | ||
RNaseq data: p53wt/wt | This paper | Wt_Ctrl_1A; ENA: ERS1432686 |
RNaseq data: p53wt/wt | This paper | Wt_Ctrl_1B; ENA: ERS1432689 |
RNaseq data: p53wt/wt | This paper | Wt_Ctrl_1C; ENA: ERS1432688 |
RNaseq data: p53wt/wt | This paper | Wt_Ctrl_24A; ENA: ERS1432703 |
RNaseq data: p53wt/wt | This paper | Wt_Ctrl_24B; ENA: ERS1432704 |
RNaseq data: p53wt/wt | This paper | Wt_Ctrl_24C; ENA: ERS1432705 |
RNaseq data: p53wt/wt | This paper | Wt_50mGy_1A; ENA: ERS1432693 |
RNaseq data: p53wt/wt | This paper | Wt_50mGy_1B; ENA: ERS1432694 |
RNaseq data: p53wt/wt | This paper | Wt_50mGy_1C; ENA: ERS1432690 |
RNaseq data: p53wt/wt | This paper | Wt_50mGy_24A; ENA: ERS1432691 |
RNaseq data: p53wt/wt | This paper | Wt_50mGy_24B; ENA: ERS1432692 |
RNaseq data: p53wt/wt | This paper | Wt_50mGy_24C; ENA: ERS1432695 |
RNaseq data: p53∗/wt | This paper | p53_mut_Ctrl_1A; ENA: ERS1432636 |
RNaseq data: p53∗/wt | This paper | p53_mut_Ctrl_1B; ENA: ERS1432637 |
RNaseq data: p53∗/wt | This paper | p53_mut_Ctrl_1C; ENA: ERS1432634 |
RNaseq data: p53∗/wt | This paper | p53_mut_Ctrl_24A; ENA: ERS1432638 |
RNaseq data: p53∗/wt | This paper | p53_mut_Ctrl_24B; ENA: ERS1432635 |
RNaseq data: p53∗/wt | This paper | p53_mut_Ctrl_24C; ENA: ERS1432639 |
RNaseq data: p53∗/wt | This paper | p53_mut_50mGy_1A; ENA: ERS1432640 |
RNaseq data: p53∗/wt | This paper | p53_mut_50mGy_1B; ENA: ERS1432641 |
RNaseq data: p53∗/wt | This paper | p53_mut_50mGy_1C; ENA: ERS1432642 |
RNaseq data: p53∗/wt | This paper | p53_mut_50mGy_24A; ENA: ERS1432643 |
RNaseq data: p53∗/wt | This paper | p53_mut_50mGy_24B; ENA: ERS1432647 |
RNaseq data: p53∗/wt | This paper | p53_mut_50mGy_24C; ENA: ERS1432644 |
RNaseq data: Nrf2−/− | This paper | NRF2KO_Ctrl_1A; ENA: ERS1432706 |
RNaseq data: Nrf2−/− | This paper | NRF2KO_Ctrl_1B; ENA: ERS1432707 |
RNaseq data: Nrf2−/− | This paper | NRF2KO_Ctrl_1C; ENA: ERS1432708 |
RNaseq data: Nrf2−/− | This paper | NRF2KO_Ctrl_24A; ENA: ERS1432709 |
RNaseq data: Nrf2−/− | This paper | NRF2KO_Ctrl_24B; ENA: ERS1432710 |
RNaseq data: Nrf2−/− | This paper | NRF2KO_Ctrl_24C; ENA: ERS1432711 |
RNaseq data: Nrf2−/− | This paper | NRF2KO_50mGy_1A; ENA: ERS1432712 |
RNaseq data: Nrf2−/− | This paper | NRF2KO_50mGy_1B; ENA: ERS1432713 |
RNaseq data: Nrf2−/− | This paper | NRF2KO_50mGy_1C; ENA: ERS1432714 |
RNaseq data: Nrf2−/− | This paper | NRF2KO_50mGy_24A; ENA: ERS1432715 |
RNaseq data: Nrf2−/− | This paper | NRF2KO_50mGy_24B; ENA: ERS1432716 |
RNaseq data: Nrf2−/− | This paper | NRF2KO_50mGy_24C; ENA: ERS1432717 |
Experimental Models: Cell Lines | ||
Human derived amphotrophic phoenix cell | ATCC | ATCC CRL-3213 |
Experimental Models: Organisms/Strains | ||
Mouse: C57BL/6J | The Jackson Laboratory | JAX: 000664 |
Mouse: Nfe2l2−/− | Chan et al., 1996 | JAX: 017009 |
Mouse: AhcreERTTrp53flR245W/wt | Murai et al., 2018 | N/A |
Mouse: AhcreERTRosa26flYFP/wt | Clayton et al., 2007 | N/A |
Recombinant DNA | ||
pLPCX/mito-roGFP2-Grx1 | Addgene | #64977 |
Software and Algorithms | ||
LAS X | Leica | N/A |
Volocity 6 and 6.3 | Perkin Elmer | N/A |
Imaris | Bitplane | N/A |
GraphPad | Prism 6 | N/A |
STAR 2.5.3a | Dobin et al., 2013 | N/A |
HTSeq framework version 0.6.1p1 | Anders et al., 2015 | N/A |
R package: DESeq2 | Love et al., 2014 | https://bioconductor.org/packages/release/bioc/html/DESeq2.html |
R package: pheatmap | https://cran.r-project.org/web/packages/pheatmap/index.html | |
R package: RColorBrewer | https://cran.r-project.org/web/packages/RColorBrewer/index.html | |
R package: clusterProfiler | Yu et al., 2012 | https://bioconductor.org/packages/release/bioc/html/clusterProfiler.html |
R package: org.Mm.eg.db | https://bioconductor.org/packages/release/data/annotation/html/org.Mm.eg.db.html | |
MATLAB R2016b | MathWorks | N/A |
Jupyter & Spyder 3.1 (Python 3) | Python Software Foundation | N/A |
Other | ||
Leica TCS SP8 | Leica | N/A |
RS225 X-Ray irradiator | Xstrahl | RS225 |
Caesium source irradiator | Gamma-Service medical GmbH | GSR D1 |
UNIDOS E universal dosimeter | PTW | N/A |
UV-irradiator CL-508M | Uvitec | N/A |
Lead Contact and Materials Availability
Requests for reagent and resource sharing should be addressed to the Lead Contact, Philip H. Jones (pj3@sanger.ac.uk) who will fulfil requests.
Experimental Model and Subject Details
Mice strains and induction of allele
All experiments were approved by the local ethical review committees at the UK Medical Research Council (MRC), University of Cambridge and Wellcome Sanger Institute, and conducted according to Home Office project licenses PPL70/7543 and PF4639B40 and Home Office personal license P14FED054. AhCreERT-R26flEYFP/wt experimental mice express YFP from the Rosa 26 locus following cre induction. In these mice, transcription of a cre mutant estrogen receptor fusion protein (creERT) is induced by β-naphthoflavone. Tamoxifen is also required for CRE-ERT protein to gain access to the nucleus. p53eGFP-R245W/wt mice express the R245W mutant version of p53 and can be detected by GFP expression following cre induction (Murai et al., 2018). Prior to cre-mediated recombination these animals (p53∗/wt) express TRP53 protein from two wild-type alleles. Once the wild-type Trp53 genomic region is deleted by cre both the Trp53 mutant carrying the R245W mutation and the eGFP reporter are transcribed. Animals were induced between 10 and 16 weeks of age. Nrf2−/− (Nfe2l2tm1Ywk) animals were purchased from the Jackson Laboratory, USA. C57BL/6J wild-type mice were also used as indicated. All strains were maintained in a C57BL/6 background. Where indicated, mice were treated with the antioxidant N-acetyl-Cysteine, NAC (Life Technologies) at 2% (w/v) in drinking water for the duration of the experiment. On average mice consumed ca.1 g/kg NAC per day. Experiments were carried out with male and female animals and no gender specific differences were observed.
Irradiation
In vivo total body irradiation (TBI) was performed using a cesium gamma irradiator (Central of Biomedical Services, University of Cambridge). 40 kg lead plates were used to attenuate the dose rate from 1 Gy/min to 16 mGy/min. Gamma dosimetry was performed by RSP Service Ltd, UK and by Personal Dosimetry Service, Public Health England Centre for Radiation, UK, using thermoluminescent dosimeters to confirm that the delivered doses were accurate. In vitro irradiation was performed using an Xstrahl RS225 X-Ray irradiator (Xstrahl, Ltd. UK) with copper and lead filters at 195 KV, 10 mA and 37°C. Xstral dosimetry was performed using UNIDOS E universal dosimeter (PTW, Germany) with an ion chamber detector, corrected for air pressure and temperature values for each experiment.
Lineage tracing
Low frequency expression of YFP and GFP in the mouse esophagus was achieved by inducing animals aged 10–16 weeks with an intraperitoneal dose of 80 mg/kg β-naphthoflavone and 0.25 mg tamoxifen (YFP) and 8 mg/kg β-naphthoflavone and 0.1 mg tamoxifen (GFP). Following induction, between three and eight mice per time point were culled and the esophagus collected. Time points analyzed include 24, 48 hours and 1 month after the first irradiation. Total number of clones quantified for each figure can be found in Table S3. Clones were imaged after immunostaining wholemounts of EE, described below, on an SP8 Leica confocal microscope. The numbers of basal and suprabasal cells in each clone were counted under live acquisition mode. Representative images of clones were produced by rendering confocal z stacks with the following settings: 40X objective with 1.5x digital zoom, optimal pinhole, speed 400 Hz, line average 3, optimal step size, and resolution of 1024 × 1024. Images were reconstructed from optical sections using Volocity 6 software (PerkinElmer) and Imaris (Bitplane). Normalized, clone-size distributions were built for each experimental condition and time point from the observed relative frequencies fm,n of clones of a certain size, containing m basal and n suprabasal cells, resulting in two-dimensional histograms (displayed as heatmaps). A 2D histogram of the residuals or differences observed between conditions in the relative frequencies of each particular clone size (i.e., each cell on the grid) was generated when appropriate.
Primary keratinocyte 3D culture
After removing muscle layer with fine forceps, small pieces of esophageal explants (2 mm2) were placed onto a transparent ThinCert™ insert (Greiner Bio-One) with the epithelium facing upward and the submucosa stretched over the membrane, dried for 30 minutes at 37°C to ensure attachment and cultured in complete FAD medium (50:50) 4.5 g/L D-Glucose, Pyruvate, L-Glutamine D-MEM (Invitrogen 11971-025): D-MEM/F12 (Invitrogen 31330-038), supplemented with 5 μg/ml insulin (Sigma-Aldrich I5500), 1.8 × 10−4 M adenine (Sigma-Aldrich A3159), 0.5 μg/ml hydrocortisone (Calbiochem 386698), 1 x10−10 M cholera toxin (Sigma-Aldrich C8052), 10 ng/ml Epidermal Growth Factor (EGF, PeproTech EC Ltd 100-15), 5% fetal calf serum (PAA Laboratories A15-041), 5% Penicillin-Streptomycin (Sigma Aldrich, P0781), 1% Amphotericin B (Sigma Aldrich, A2942) and 5 μg/ml Apo-Transferrine (Sigma-Aldrich T2036). Explants were removed after 7 days once keratinocytes have covered half of the membrane. Media was changed every three days. Cholera toxin, epidermal growth factor and hydrocortisone were removed from the medium two weeks before starting experiments. N-Acetyl L-Cysteine (NAC, LKT Labs, A0918) was dissolved in deionized water (1 M stock solution) adjusted to pH 7.2 and then diluted in cell culture medium to 1 mM final concentration.
Adenoviral infections
To establish mouse primary keratinocyte 3D cultures from p53GFP-R245w/+ mice, cells were infected with Cre-expressing adenovirus (Ad-CMV-iCre, Vectorbiolabs, #1045 UK). Briefly, cells were incubated with adenovirus-containing medium supplemented with Polybrene (Sigma Aldrich, # H9268) (4 μg/ml) for 24 hours at 37°C, 5% CO2. Cells were washed and fresh medium was added. Infection rates were > 95%.
Immunofluorescence
For wholemount staining, EE from the middle two thirds of the esophagus was prepared by opening longitudinally, removing the muscle layer and incubating for 1 hour and 30 minutes in 20 mM EDTA-PBS at 37°C. The epithelium was then carefully peeled away from underlying tissue with fine forceps, stretched and fixed in 4% paraformaldehyde in PBS for 30 min. For staining, wholemounts were blocked for 1 hour in blocking buffer (0.5% bovine serum albumin, 0.25% fish skin gelatine, 0.5% Triton X-100 and 10% donkey serum) in PHEM buffer (60 mM PIPES, 25 mM HEPES, 10 mM EGTA, and 4 mM MgSO4·7H20). Primary and secondary antibodies were incubated overnight using blocking buffer, followed by several washes over 2-3 hours with 0.2% Tween-20 in PHEM buffer. A final overnight incubation with 1 μg/ml DAPI in PHEM buffer was used to stain cell nuclei. For staining conventional tissue sections, optimal cutting temperature compound (OCT) embedded esophageal cryosections of 10-14 μm thickness were fixed with 2% paraformaldehyde for 5 min, blocked in blocking buffer and stained with the respective primary and secondary antibodies for 1 hour at room temperature. Samples were washed with PHEM buffer between incubations. EdU incorporation was detected with Click-iT chemistry kit according to the manufacturer’s instructions (Invitrogen) using 647 or 555 Alexa Fluor azides. Confocal images were acquired on a Leica TCS SP8 confocal microscope (objectives × 20 and × 40; optimal pinhole; speed 400 Hz; line average 3; resolution 1024 × 1024) and reconstructed using Volocity 6 image processing software (PerkinElmer) and Imaris (Bitplane). Antibodies used are listed in Table S1.
EdU lineage tracing
For in vivo lineage tracing, 10 μg of EdU in PBS was administered by intraperitoneal injection, 1 hour before the last irradiation. Tissues were collected, 2, 24 and 48 hours after injection. EdU-positive basal and suprabasal cells were quantified from a minimum of 10 z stack images (objective × 40; optimal pinhole; speed 400 Hz; line average 3; resolution 1024 × 1024, zoom × 1.5) from wholemounts or 3D cultures. For in vitro lineage tracing, 10 μM EdU was added to the culture and incubated for 1 hour at 37°C and 5% CO2. After EdU incubation, media was changed and cells were irradiated with 50 mGy. Samples were collected at different time points after irradiation.
Basal cell density
Relative cell density was calculated in 0 mGy and 50 mGy irradiated mice at different time points by imaging the basal layer from EE wholemounts or 3D cultures and quantifying the number of DAPI+ basal cells per field in 5-10 random images per animal.
RNA isolation and RNA sequencing
Total RNA was extracted from 3D cultures of mouse primary keratinocytes using RNeasy Micro Kit (QIAGEN, UK), following the manufacturer’s recommendations, including on column DNase digestion. Briefly, cells were washed with cold Hank’s Balanced Salt Solution-HBSS (GIBCO, UK) and then lysis buffer was added directly to the insert. The integrity of total RNA was determined by Qubit RNA Assay Kit (Invitrogen, UK). For RNA-seq, libraries were prepared in an automated fashion using an Agilent Bravo robot with a KAPA Standard mRNA-Seq Kit (KAPA BIOSYSTEMS). In house adaptors were ligated to 100-300 bp fragments of dsDNA. All the samples were then subjected to 10 PCR cycles using sanger_168 tag set of primers and paired-end sequencing was performed on Illumina HiSeq 2500 with 75 bp read length. Reads were mapped using STAR 2.5.3a, the alignment files were sorted and duplicate-marked using Biobambam2 2.0.54, and the read summarization performed by the htseq-count script from version 0.6.1p1 of the HTSeq framework (Anders et al., 2015, Dobin et al., 2013). Differential gene expression was analyzed using the DESeq2 R package (Love et al., 2014), and the downstream pathway analysis and visualization using R (https://www.R-project.org/) and the packages Pheatmap (https://cran.r-project.org/web/packages/pheatmap/index.html), RColorBrewer (https://cran.r-project.org/web/packages/RColorBrewer/index.html), clusterProfiler (Yu et al., 2012) and org.Mm.eg.db (http://bioconductor.org/packages/release/data/annotation/html/org.Mm.eg.db.html). Differentially-expressed genes are hits reported by DESeq2 with adjusted p value (padj) of less than 0.05. Heatmaps were generated from the ratio of TPM values of the treated sample over the average of the respective control samples.
Immune capillary electrophoresis
For protein phosphorylation analysis, 3D cultures were irradiated with 0 mGy, 50 mGy or 2 Gy and incubated for 1 or 6 hours at 37°C 5% CO2. Cultures were lysed in ice-cold RIPA buffer (Thermo Scientific, UK) containing protease and phosphatase inhibitors and incubated on ice for 30 min. Cell lysate was passed through a 25G needle at least 10 times to increase nuclear lysis and centrifuged at 14000 g for 20 min at 4°C. The supernatant was collected for analysis. Total protein quantification was performed using Pierce BCA Protein Assay Kit (Thermo Scientific, UK). Immune capillary electrophoresis was performed using Wes Simple™ (ProteinSimple, USA) following manufacturer’s instructions.
Mitochondrial redox measurements
A genetically encoded redox-sensitive biosensor fluorescent protein (roGFP2) fused to redox-active protein (Grx1) and with an N-terminal mitochondrial targeting sequence (mito-roGFP2-Grx1), was used for the measurement of glutathione redox potential. Primary mouse keratinocytes (PMOKs) expressing mito-roGFP2-Grx1 were established by retroviral transduction. Briefly, Phoenix-AMPHO cells were transfected with pLPCX/mito-roGFP2-Grx1 using lipofectamine (Life Technologies) following the manufacturer’s protocol. 8 hours post- transfection, cells were washed twice with HBSS and fresh medium was added. 48 hours after transfection the supernatant was collected and passed through a 0.44 μm filter. 24 hours before infection PMOKs were seeded at 106 cells per insert in a six-well plate (ThinCert™ insert, Greiner Bio-One). PMOKs were incubated with the virus-containing supernatant supplemented with Polybrene (4 μg/ml) for 24 hours at 37°C 5% CO2. Cells were then grown in medium containing puromycin (0.5 μg/ml) for several days before starting each experiment. PMOKs expressing mito-roGFP2-Grx1 were irradiated with 0 mGy or 50 mGy and incubated for 5, 30 or 60 minutes at 37°C, 5% CO2. Cells were then treated with 20 mM N-ethylmaleimide (NEM) for 5 min at room temperature prior to 4% PFA fixation for 10 minutes at room temperature. Cells were washed in HBSS twice and incubated with wheat germ agglutinin (WGA) to stain the cell membrane. Confocal 3D images were acquired on a Leica TCS SP8 confocal microscope ( × 40 objective; optimal pinhole; speed 400 Hz; line average 1; resolution, 1024 × 1024, optimal step size) using 405nm and 488nm laser lines for excitation and 500-540nm filter for emission collection. 3D images were processed using Imaris (Bitplane) or ImageJ to identify each mitochondria and to calculate 405/488 ratio. Number of mitochondria analyzed for each condition is shown in Table S2. Background subtraction for each channel was performed. For pseudocolor display, the ratio was coded on a spectral color scale ranging from blue (fully reduced) to white (fully oxidized), with limits set by the in situ calibration. Calibration was done using 20 mM DTT and 100 μM H2O2 treated samples to drive roGFP2 to their fully reduced and fully oxidized forms, respectively.
Quantification and Statistical Analysis
Data are expressed as median values ± SEM unless otherwise indicated. Differences between groups were assessed by 2 tailed unpaired t test or Anova for normally distributed data or 2 tailed Mann-Whitney U test for skewed data, using GraphPad Prism software. For the mitochondrial 405/488 ratios, one-tailed Mann-Whitney U test was used for pairwise comparisons (α = 0.05). For paired comparisons of clonal behavior across conditions, Peacock’s test was used, a two-dimensional extension of Kolmogorov-Smirnov test (implemented as kstest_2s_2d function for MATLAB) (Peacock, 1983). No statistical method was used to predetermine sample size. The experiments were not randomized. The investigators were not blinded to allocation during experiments and outcome assessment.
Acknowledgments
We thank Esther Choolun and the staff of the Central Biomedical Resources (University of Cambridge), MRC ARES, and Wellcome Sanger Institute RSF facilities for technical support. This work was supported by funding from the European Union FP7-Euratom-Fission award 323267, Risk, Stem Cells and Tissue Kinetics – Ionising Radiation, a Medical Research Council grant-in-aid (to the MRC Cancer Unit), core grants from the Wellcome Trust (098051 and 296194 to the Wellcome Sanger Institute), and a Cancer Research UK program grant (C609/A17257 to P.H.J.).
Author Contributions
D.F.-A. designed, validated, and conducted the experiments with support from K.M. and A.H. and input from P.H.J. and C.F. G.P. analyzed clonal and mitochondrial data. S.H.O. performed bioinformatics analysis and data curation. D.F.-A. and P.H.J. wrote the manuscript with input from C.F.
Declaration of Interests
The authors declare no competing interests.
Published: July 18, 2019
Footnotes
Supplemental Information can be found online at https://doi.org/10.1016/j.stem.2019.06.011.
Supplemental Information
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