Abstract
Cell competition is a form of cell-cell interaction by which cells compare relative levels of fitness, resulting in the active elimination of less-fit cells, “losers,” by more-fit cells, “winners.” Here, we show that in three routinely-used mammalian cell lines – U2OS, 3T3, and MDCK cells – sub-clones arise stochastically that exhibit context-dependent competitive behavior. Specifically, cell death is elicited when winner and loser sub-clones are cultured together but not alone. Cell competition and elimination in these cell lines is caspase-dependent and requires cell-cell contact but does not require de novo RNA synthesis. Moreover, we show that the phenomenon involves differences in cellular metabolism. Hence, our study demonstrates that cell competition is a common feature of immortalized mammalian cells in vitro and implicates cellular metabolism as a mechanism by which cells sense relative levels of “fitness.”
Introduction
Tissue growth is influenced by both systemic cues and local cell interactions. In Drosophila, cell competition is a well-described example of the latter type of interaction, in which the presence of growth-advantaged “winner” cells triggers apoptosis of otherwise viable, but growth-disadvantaged “loser” cells [1–3]. One remarkable feature of cell competition is that cellular responses are triggered by relative rather than absolute growth properties, indicating that cells are able to sense neighboring cell “fitness” and compare it to their own [1–3]. Several molecular pathways have been implicated in cell competition in Drosophila, including dMyc and its ribosomal targets [4–6], components of the Dlg/Lgl/Scrib cell polarity complex [7–9], the BMP pathway [10], the Hippo pathway, and the Wnt and JAK/STAT pathways [11, 12]. Differences in the activity of these signaling pathways across cells result in competition-mediated cell death, but the mechanisms involved remain poorly understood.
The first evidence for mammalian cell competition came from the study of the Belly spot and tail (Bst) mutation in the mouse. Bst impairs ribosomal biogenesis and cell growth, but heterozygous Bst blastocysts still develop into viable animals of normal size. Nonetheless, Bst blastocysts injected with wild-type embryonic stem (ES) cells grow into embryos derived mostly from the grafted cells, indicating that Bst cells are outcompeted during embryogenesis [13]. Two recent studies confirmed that differences in Myc expression drive cell competition in cultured ES cells as well as in the mouse epiblast [14, 15]. Cell competition has also been described in adult tissues, as embryonic hepatic progenitors grafted in adult livers expand at the expense of resident hepatocytes in an age-dependent manner [16, 17]. Moreover, knock-down of Scribbled results in loser behavior in immortalized epithelial Madin-Darby canine kidney (MDCK) cells [18, 19].
In this study, we sought to determine whether cell competition could be modeled in vitro. To this end, we generated sub-clones from commonly cultured cell lines and tested them in various combinations for competitive interactions. Here we report that such sub-clones display context-dependent apoptosis in the presence of the parental cell population. Elimination of loser cells requires direct contact with winners and does not involve transcriptional changes. Competitive behavior is abrogated by conditions that limit metabolic activity or uncouple ATP generation from oxidative phosphorylation, indicating that changes in energetic metabolism underlie cell “fitness.” Taken together, these data indicate that cell competition is active in cell lines grown under routine culture conditions, reflecting a conserved role in regulating cellular dynamics.
Results
Isolation of mammalian cell lines exhibiting context-dependent apoptosis
Cell competition has been shown to occur in the mouse epiblast in response to endogenous differences in cellular fitness, which are reflected by heterogenous Myc protein levels [14]. Based on this, we hypothesized that differences in cell fitness might also occur in immortalized cells grown under standard culture conditions, resulting in the spontaneous emergence of winner and loser cells in vitro. To test this hypothesis, we transfected U2OS human osteosarcoma cells with vectors carrying histone 2B-green fluorescent protein (H2B-EGFP), H2B-Venus or H2B-mCherry fusion protein expression cassettes along with a neomycin resistance cassette followed by G418 (neomycin) selection to generate a large number of stable U2OS sub-lines, or clones. We then performed pairwise co-cultures of cells from each one of the clones and parental, “wild-type” (Wt) U2OS cells, using the presence of fluorescent markers in the “clone” cells to monitor the co-culture cell composition over time. We hoped in this way to identify clones that would be eliminated from the co-cultures (“losers”) or that would conversely eliminate the wild type cells and take over the culture (“winners”).
A small subset (9 out of 245) of the screened clones spontaneously exhibited a net decrease in their numbers upon co-culture with Wt cells (Fig 1A). Staining for cleaved caspase-3 (Cp3) confirmed that the cells were being eliminated by apoptosis (Fig 1B and 1C). No changes in cell proliferation were observed in co-cultured cells by phospho-histone H3 immunostaining (Fig 1D). Incubation of co-cultures with the pan-caspase inhibitor Z-VAD-FMK blocked cell elimination (Fig 1E). Furthermore, incubation with the CDK inhibitor purvalanol A also led to a dramatic decrease in killing, indicating that cells must be actively proliferating for cell death to occur (Fig 1F). When grown in mono-culture, growth rates varied widely among these “loser” clones, but all of them displayed substantially slower growth compared to that of the parental Wt cells (S1 Fig). Hence, U2OS cells maintained under routine conditions contain sub-clones that grow more slowly and are selectively killed when co-cultured with more rapidly-dividing cells, features reminiscent of cell competition in Drosophila. Notably, clones whose growth rate was similar to that of the parental Wt cells (e.g. clones G1 and 10A in S1 Fig) were not eliminated upon co-culture and did not show an increase in apoptosis. In addition, no clones growing faster than Wt cells or displaying “winner” behavior in co-culture were observed (data not shown).
To determine whether competition-like behavior is generalizable across different cell types from distinct species, we used the same strategy to screen randomly generated sub-clones from non-transformed murine fibroblasts (3T3 cells) and canine renal epithelial cells (MDCK cells). Consistent with our U2OS results, we found two MDCK clones (out of 169) and one 3T3 clone (out of 230) displaying increased apoptosis and cell elimination upon co-culture with parental cells (S2 and S3 Figs). Thus, competition-like behavior seems to be a general property of mammalian cell lines. We conducted all further experiments with U2OS cells.
Elimination of U2OS losers requires direct contact with winners
Cell competition in Drosophila has been reported to be mediated by soluble factors released when cells are in a competitive environment [4, 20]. To test whether cell competition in U2OS cells is also mediated by soluble factors, we performed a series of experiments utilizing trans-well filters and live cell imaging. For the trans-well experiments, we co-cultured YFP cells (which behave as losers) with Wt cells (which behave as winners) on the top of 0.8 μm Durapore trans-well inserts and placed YFP cells at the bottom of the well (Fig 2A). As expected, YFP cells in contact with Wt cells in the insert were eliminated (Fig 2B and 2C). By contrast, YFP cells in the well displayed no increase in apoptosis despite sharing the same medium with the Wt:YFP co-cultured cells in the insert (Fig 2B). Thus, cell competition in U2OS cells requires either direct contact or close proximity.
To distinguish between these possibilities, we examined cell interactions by time-lapse microscopy over a 72 h period (S4 Fig). In order to identify all cells in this experiment, we used R1 cells (red), which behave as winners when mixed with YFP cells (green). R1 cells were plated as a “spot” on tissue culture plastic and then overlaid with YFP cells; this created “Inner” and “Border” areas in which YFP and R1 cells were in frequent contact as well as an “Outer” region where YFP cells had no contact with R1 cells (Fig 2C and S4 Fig). We then tracked the fate of individual YFP to R1 cells, counting over 5,000 cells in 3 movies. As expected, YFP cells inside the R1 spot (“Inner” region) were progressively eliminated by apoptosis, while YFP cells that remained far from the R1 spot (>10 cell layers, “Outer” region) experienced significantly less apoptosis over the 72 h period analyzed (Fig 2D; S4 Fig and S1 File).
To more accurately determine the relationship between the fate of a cell and its location, we binned YFP cells based on their position relative to R1 cells, designating cells as “B0” to “B10” to reflect the smallest number of YFP cell layers observed between the designated cell and the nearest R1 cell. Relative cell position was estimated tracking the cell nuclei when cell contours could not be clearly seen (due to the high cell density reached by U2OS cultures). We observed that cell death was highly dependent upon designated cell position, with YFP cells in the immediate vicinity of R1 cells–“Inner” or “B0”–exhibiting significantly higher death rates than YFP cells that appeared to be even one cell removed from R1 cells. Indeed, B1 to B10 cells exhibited death rates similar to that observed in cells in the “Outer” region (Fig 2D, middle panel). Importantly, YFP cell proliferation was unaffected by position relative to R1 cells (Fig 2D, top panel). These rates of proliferation and death resulted in a net population decrease for cells in the “Inner” region and a net increase for all other cell populations (Fig 2D, bottom panel). These results indicate that YFP cell elimination is driven by direct contact with R1 cells. Furthermore, a stronger competitive response was observed in “inner” cells, in which losers were surrounded by winners, than in”B0” cells, in which losers might be in contact with only a single winner cell for only a brief period of time. This result suggests that loser cell elimination is dose-dependent, such that more extensive or longer contact with a winner cells increases the likelihood of the loser cell undergoing apoptosis.
U2OS cell competition is context-dependent
Context-dependent responses—whereby cells behave as winners in the presence of less-fit clones, and as losers in the presence of more-fit clones—is a hallmark of cell competition in Drosophila. Because our screen for clones with varying fitness had only yielded cells that behaved as losers compared to Wt parental cells, we sought to determine whether this system exhibits context dependency.
We reasoned that R1 cells, which grow faster than some clones and slower than others (S1 Fig), would be good candidates for assessing whether U2OS competition is context-dependent. To this end, we co-cultured R1 cells with either G1 cells, which have a growth rate similar to Wt cells and do not compete with them (a “non-competing” clone), or with YFP cells, which grow more slowly. Co-culture of R1 and G1 cells led to a marked increase in R1 apoptosis, but no increase in G1 apoptosis (Fig 3A and 3B). Co-culture of R1 cells with three additional non-competing GFP clones yielded similar results (data not shown). By contrast, co-culture of R1 and YFP cells led to a marked increase in YFP apoptosis but no increase in R1 apoptosis (Fig 3A and 3B). Co-culture of the remaining GFP-expressing “loser” clones (S1 Fig) resulted in either non-competitive growth or the GFP-expressing cells still being eliminated (data not shown). Based on these results, we conclude that spontaneous cell competition in U2OS cells is context-dependent such that cells behave as winners or losers depending on the milieu in which they find themselves. Further pairwise assays demonstrated three “competition groups” in which higher proliferation rates and saturation densities were correlated with higher fitness (see color coding in S1 Fig). These data suggest that winner or loser status is not an intrinsic property of a cell, but is rather determined when cells confront their neighbors and relative levels of cell “fitness” are determined.
U2OS cell competition does not require de novo RNA synthesis
In Drosophila, competitive fitness is affected by the activity of several genes, most notably Myc, the components of the Hippo pathway, and the members of the Scribd apico-basal polarity complex [4, 6–9, 21–24]. However, mosaic overexpression or knock-down of MYC, YAP and SCRIB did not alter cell competitive fitness in Wt U2OS cells (S5 and S6 Figs). Thus, competitive behavior in US02 cells is likely mediated by molecular mechanisms distinct from those that underlie such behavior in Drosophila S2 cells.
We reasoned that the determinants that confer relative level of fitness could reflect either a gain or a loss of information; if this were the case, then “loser status” might be expected to behave as either a dominant or a recessive trait, respectively. To address this idea, we carried out a series of cell fusion experiments in which heterokaryons were generated between various winner and loser U2OS clones. This fusion experiment resulted in diverse behaviors, with heterokaryons exhibiting winner status, loser status, or an intermediate phenotype depending on the identity of the parental clones (S7 Fig), suggesting that competitive “fitness” reflects the integration of multiple genetic or epigenetic factors.
We next compared the transcriptional profiles of Wt, YFP, and R1 cells in an attempt to identify genes driving cell competition. We expected that transcripts acting as fitness determinants would be differentially expressed in mono-cultured cells, most likely in a way that reflects their relative fitness (i.e., Wt>R1>YFP or vice versa). On the other hand, transcripts implicated in sensing or responding to fitness determinants might not be expected to differ in abundance in mono-cultures, but instead be differentially expressed only in actively-competing loser and winner cells (Fig 4A).
U2OS RNA expression levels were characterized by whole-transcriptome RNA microarray hybridization and compared between mono-cultured or competing Wt, R1 or YFP cells (Fig 4A). Unexpectedly, no transcriptional changes were found to be induced by competitive co-culture in Wt and R1 cells. Six transcripts were found to be expressed at higher levels in YFP cells when co-cultured with Wt cells. Of these, three were also up-regulated in YFP cells co-cultured with R1 cells (Fig 4B and S1 Table). However, the nature of these transcripts (encoding for the olfactory receptor 51B4, the interleukin 13 receptor subunit A2, and the gametocyte specific factor 1), and the fact that their expression was unchanged in loser R1 cells strongly suggest that changes observed in YFP cells are not related to competition.
Overall, these results suggested that competitive interactions do not spur unique transcriptional changes, raising the possibility that competition does not require the synthesis of new transcripts. To address this possibility, we blocked RNA and protein synthesis in Wt:YFP co-cultures using actinomycin D and cycloheximide, respectively. Despite a complete blockade in transcription following actinomycin D treatment (Fig 4C), YFP cells continued to be killed in the presence of Wt cells (Fig 4D). This result demonstrates that U2OS cell competition does not require de novo transcription. By contrast, cycloheximide treatment abolished the difference in apoptosis levels of control and co-cultured YFP cells (Fig 4D), indicating that cell competition requires protein translation. However, cycloheximide treatment also led to a proliferative arrest (S8 Fig), raising the possibility that cycloheximide blocks cell competition as a secondary consequence of its inhibition of cell cycle progression.
Differences in metabolism underlie U2OS cell competition
We next turned our attention to potential fitness determinants. Comparison of transcriptional profiles across pooled mono- and co-cultured samples identified 656 genes that were differentially expressed in Wt, R1 and YFP cells. Of these, only 82 were expressed across Wt, R1, and YFP in a way correlating with cell fitness (S9 Fig) and gene ontology term representation analysis indicated no significant functional class enrichment except for the presence of 7 metalloprotease-encoding genes in the group (S2 Table). Importantly, further analysis of gene expression across the full panel of winners and losers (S1 Fig) failed to support the correlation in expression levels seen with Wt, R1, and YFP (data not shown). Thus, even among those transcripts which were differentially expressed between winners and losers, this transcriptional analysis did not lead to the emergence of strong candidates that might constitute determinants, sensors, or mediators of cell fitness and competition.
Monopolization of trophic factors by metabolically advantaged “winners” was among the first mechanisms proposed to underlie cell competition. To test whether U2OS cells compete for trophic factors, we performed competition assays under culture conditions in which we varied the degree to which such factors might be limiting. Increasing serum concentration to 20% had no effect on loser cell elimination; nor did reducing or removing serum altogether, indicating that U2OS cells do not compete for serum-borne factors (S10 Fig). By contrast, hypoxia was found to completely block cell competition when either YFP or R1 cells were co-cultured with Wt cells (Fig 5A). As many of the effects hypoxia are promoted via activation of the Hif1a transcription factor [25], we sought to determine whether Hif1a was required for the oxygen dependency of U2OS cell competition. To this end, we performed the cell competition experiment in the presence of two different shRNAs directed against Hif1a or a non-silencing shRNA control (NSC). Hif1a knockdown did not protect YFP and R1 cells from cell competition under normoxia, nor did it reverse the protective effect of hypoxia (Fig 5B). These results strongly suggest that the ability of hypoxia to block cell competition is Hif1a-independent. These results were unexpected, as we had predicted that limiting amounts of O2 would exacerbate, rather than inhibit, cell competition.
Because hypoxia has several cellular effects—including changes in cell metabolism through effects on oxidative phosphorylation (OXPHOS) and reactive oxygen species (ROS) production—we hypothesized that differences in metabolic rate might underlie competitive behavior. Consistent with this notion, reducing the metabolic activity of cells by reducing the concentration of glutamine (Gln) in the medium eliminated cell competition in U2OS cells (Fig 5C). We then tested if competitive behavior might involve the production of ROS by carrying out competition assays in the presence of two ROS scavenging agents: N-acetyl cysteine (NAD) and 6-hydroxy-2,5,7,8-tetramethylchroman-2-carboxylic acid (Trolox). Neither NAD nor Trolox prevented loser cell elimination in U2OS co-cultures, indicating that ROS are dispensable for this process (S11 Fig).We next considered the possibility that ATP production (via OXPHOS) could be involved in cell competition in U2OS cells. To test this idea, U2OS competition assays were carried out in presence of carbonyl cyanide m-chloro phenyl hydrazine (CCCP), an agent that permeabilizes the inner mitochondrial membrane to H+ ions. CCCP thus allows OXPHOS to proceed but uncouples it from ATP synthesis. CCCP treatment resulted in a dose-dependent reduction in cell death when either YFP or R1 cells were co-cultured with Wt cells (Fig 5D). We reasoned that if ATP production underlies cell fitness, ATP levels in monocultured U2OS clones should reflect their fitness. Accordingly, intracellular ATP levels in monocultured YFP (loser) cells are lower than those observed in Wt (winner) and R1 (intermediate) cells. Furthermore, ATP concentration increased to near-Wt levels in YFP cells grown under hypoxia, correlating with the previous observation that it arrests Wt:YFP competition. Interestingly, R1 cells—the intermediate fitness cells—displayed comparative ATP levelswith WT (winner) under normxia and hypoxia. It suggests that ATP levels are not the sole metabolic product to determine cell fitness (Fig 5E). Taken together, these results strongly suggest that differences in energetic metabolism drive cell competition in U2OS cells and that production of ATP by OXPHOS is one of the parameters to determinate cell fitness.
Discussion
Over the past 10 years, the phenomenon of cell competition has emerged as a mechanism by which cell growth and viability are controlled in diverse biological processes, such as tissue size regulation, aging, and cancer progression. Although most studies of cell competition have focused on Drosophila, a growing body of evidence indicates that the process is conserved in mammals [13–19, 26]. Nevertheless, the functional role and underlying molecular mechanisms of cell competition remain obscure. The results presented here show that mammalian cell lines spawn sub-clones that are viable and grow well on their own, but which undergo apoptosis in the presence of more advantaged cells. Relative cell fitness—the likelihood that a cell will behave as a winner or a loser—is at least partially associated with growth rate and saturation density and is context-dependent. This behavior is thus highly similar to the phenomenon of cell competition as it has been described in the Drosophila imaginal disc [4, 6, 27] and more recently in the embryonic mouse epiblast [14, 15].
Our results provide several clues about the determinants of cell completion in mammalian cells lines. At the cellular level, competition between U2OS cells was found to be mediated by short-range interactions, as only those loser cells located in the immediate vicinity of winners experienced increased apoptosis. Furthermore, our results suggest that cell competition involves dose-dependent interactions, since loser cells surrounded by winners had a greater likelihood of being eliminated than losers having winners on only one flank. These results differ somewhat from previous studies, in which cell competition was found to be mediated by diffusible factors when driven by Myc in Drosophila S2 cells [20] and by BMP deficiency in cultured mouse ES cells [15]. However, medium conditioned by competing mouse ES cells with different Myc expression levels does not elicit a response in naïve, loser cells [14]. Similarly, cell competiton resulting from mosaic inactivation of the cell polarity gene Scribbled in Madin-Darby canine kidney cells also requires direct winner-loser cell contact. In vivo, apoptosis resulting from cell competition occurs mostly within a few cell diameters of the winner-loser interface in the Drosophila imaginal disc [4, 6, 10, 28], the mouse epiblast,[14] and the mouse liver [16]. These results are all consistent with the notion that distinct cues mediate competitive interactions in different cell types, organisms, and stages of differentiation.
Two mechanisms have been proposed to describe how extracellular determinants could trigger competitive cell responses in the Drosophila imaginal disc [29]. In the first, cells compete for a limited supply of one or more factors required for survival. Similarly, competition could result from different cell sensitivities to toxins that accumulate in the microenvironment as cells grow [10]. Several observations argue against a mechanism of this type in the U2OS cells described in this study. Serum deprivation or enrichment did not affect cell competition while hypoxia and glutamine deprivation arrested it, indicating that none of these factors is limiting for growth. Alternatively, competition could involve a struggle for a limited amount of space on the substrate, in which winner cells displace less-adherent loser cells, thereby resulting in anoikis. Arguing against this possibility, however, time-lapse microscopy showed that losers undergo apoptosis before detaching from the substrate, a result inconsistent with an anoikis-based process. Morevover, YFP loser cells can attach and spread even when overlaid over confluent R1 winners, which is inconsistent with R1 cells physically displacing YFP cells. Finally, competition in U2OS cells is active at cell densities 5 to 10 fold below those reached by winners or losers at the end of their growth in monoculture.
A second mechanism involves a process by which cells sense and compare relative levels of “fitness.” One example of such a fitness-sensing mechanism is the role in imaginal disc cell competition played by the flower (Fwe) gene. Upon competition, alternative splicing results in expression of the FweLoseA/B isoform in “loser” cells, which is necessary and sufficient for competition-driven cell elimination [30]. Furthermore, expression of mFwe1 –a mammalian homologue of flower–in the fly confers “loser” status in imaginal disc cells, suggesting a conserved role in competition [31]. In our study, no changes in the expression of the human mFwe1 homolog (FLOWER isoform 1) were observed in response to cell competition or across mono-cultured high and low-fitness clones, suggesting that cell competition in U2OS cells is flower-independent
Our data therefore point to a novel mechanism of cell competition in U2OS cells—one that is mediated by in a way that is independent of de novo RNA synthesis. Instead, our results suggest that differences in cell metabolism underlie the differences between winner and loser status. We found that hypoxia, which promotes a switch from OXPHOS to fermentation, arrests cell competition. Similarly, depriving cells of the non-essential amino acid Gln—a key fuel for the citric acid cycle—blocks cell competition. These results are thus in line with the recent study of de la Cova et al. [32], who showed that differences in energetic metabolism—mediated by Myc and p53 and resulting in a shift in the balance of glycolysis and OXPHOS—are key determinants of cell competition in Drosophila. In addition, we found that uncoupling OXPHOS from ATP production also arrests cell competition, indicating that differences in steady-state ATP levels and/or ATP production rates can drive cell competition. Monocultured YFP display decreased intracellular ATP levels compared to Wt cells, but ATP levels in YFP increase when cells are grown under hypoxia, suggesting that ATP levels may be a determinant of fitness in YFP cells. However, we did not observe similar ATP level changes in R1 cells. A possible explanation is that ATP levels are result of cell fitness rather than a determinant; R1 levels could be normal in monoculture but decrease upon competition. Alternatively, other products of energy metabolism could be involved in cell fitness determination. Further studies will be needed to characterize the role of energy metabolism in cell fitness, for instance by using living imaging techniques to monitor cell metabolism during cell competition.
In summary, we found that competitive behavior is a general property of common mammalian cell lines, supporting the notion that this phenomenon plays a role in maintaining the growth properties of mammalian cell populations by weeding out “unfit” cells. One interesting feature of our study is that all isolated clones behaved as losers when combined with the parental population; no spontaneous “supercompetitors” were isolated. This suggests that the process of immortalization and culture selects for populations of cells which exhibit a high fitness level at steady-state. Hence, our observations may have implications for cancer, in which tumor evolution may be driven in part by the eradication of less-fit cells through such interactions.
Materials and Methods
Cell culture
U2OS cells (American Tissue and Cell Collection, HTB-96) were a kind gift of Dr. John Hogenesh (University of Pennsylvania) NIH-3T3 (CRL-1658), MDCK (CCL-34) and 293T cells (CRL-3216) were directly obtained from ATCC. All cell lines were cultured in 10% Dulbecco’s modified Eagle medium supplemented to 10% decomplemented fetal bovine serum at 37°C, 5% CO2, 21% O2 and 100% humidity unless otherwise indicated. For aminoacid depletion experiments, dialyzed FBS was used and L-glutamine was supplemented as indicated. Cell lines were maintained and passaged according to ATCC recommended procedures. Pharmacological agents was as follows: Purvalanol-A (Sigma P4484), Z-VAD-FMK (EMD Millipore 627610), actinomycin D (Sigma A9415), cycloheximide (Sigma C7698), NAC (Sigma A9165), Trolox (Santa Cruz Biotech sc-200810) and CCCP (Sigma C2759) were added to cell cultures 12 h after cell seeding at the concentrations indicated and maintained until analysis, changing the medium every 24 hours. Ethynyl-uridine (Life Technologies E10345) and homopropargyl-glycine (Life Technologies C10186) were added at 5 and 50 μM respectively, two hours prior to incorporation analysis using the Click-iT alkyne detection kit (Life Technologies C10330).
Transfection and selection of stable transfectant clones
Transfection was carried out using Fugene6 (Promega E2691). Selection of stable transfectant clones was obtained with G418 sulfate at 1 mg/ml (U2OS) or 0.5 mg/ml (3T3, MDCK),or hygromycin B at 150 μg/ml as appropriate. Stable transfectant clones were individually recovered from the selection plates using a fine pipette, amplified and cultured under standard conditions.
Cell fusion
Heterokaryons were obtained by treating confluent cells with 50% PEG 1500 in 75 mM HEPES pH 8.0 for 1 minute followed by G418 + neomycin selection for 3 days. In contrast to stable transfection, individual clones were not separated after cell fusion, Heterokaryon sub-lines thus consisted of mixed populations resulting from many independent fusion events. Heterokaryon sub-lines were passage 3 times before using them in cell competition assays.
Lentiviral transduction of single shRNAs
Cells were seeded at ~70% confluence and grown for 18 h before adding concentrated viral particles (described below), and further grown for 72 h. Selection of infected shRNA-exressing cells was then carried out using puromycin (5 μg/ml) for 48 h.
Growth curves
For U2OS clone growth characterization, cells were seeded at a density of 6,600 cells/cm2. For U2OS, MDCK and 3T3competition assays, cells were seeded at 66 x 105 cells/cm2, which results in 95% confluence after attachment and spreading. Cell seeding was considered t = 0 for all experiments and medium was changed every 48 hours. At indicated timepoints, cells were trypsinized and counted using an Accuri C6 flow cytometer. For the Z-VAD-FMK apoptosis inhibition experiments, cells were counted manually in 3 independent 10X microscope field.
Cell death assays
Cells were seeded at 66,000 cells/cm2 (t = 0h) as mono-cultures or 1:1 co-cultures, which results in ~95% confluence after cell spreading in U2OS, 3T3 and MDCK cells. Apoptosis was analyzed after 1, 3 or 6 days in culture or as otherwise indicated by immunostaining with a cleaved (Asp175) Caspase-3 rabbit polyclonal antibody (Cell Signaling technologies 9661). Cleaved Caspase3-positive cells were counted on three independent 10X microscope fields for each sample and averaged. Growth curves were obtained by counting total cell numbers using an Accuri C6 cytometer. All assays were carried out in triplicate, and statistical significance of cell count comparisons was determined by Student’s t test.
Time-lapse microscopy
U2OS R1 cells were spot-seeded at 106 cells/ml on glass-bottom culture dishes (Mat-Tek Corporation), allowed to attach, and overlaid with YFP cells (106 cells/ml). Cells were maintained at 37°C, 0.5% CO2 and 100% humidity while filmed at 15 min./frame using a Leica DM6000 B videomicroscope.
Whole-transcriptome expression analysis
U2OS cells were grown as mono- or co-cultures for 48 h and separated on a FACSAria cell sorter (BD biosciences). RNA was isolated using the RNeasy kit (Qiagen) and hybridized to Affymatrix Human Gene 1.0 ST arrays at the Perelman School of Medicine Molecular Profiling Core (University of Pennsylvania). Each experimental condition was carried out in triplicate. Greater than 2-fold RNA expression changes were identified by 2-way (sample, replicate) ANOVA. Statistical analysis and hierarchical clustering was carried out using Partek Genomic Suite software (Partek Inc.). Gene ontology enrichment analysis was performed using the Gene Set Analysis Toolkit V2 (Gene Ontology Consortium). Microarray data are available in the ArrayExpress database (www.ebi.ac.uk/arrayexpress) under accession number E-MTAB-3204.
Plasmids
H2B-YFP (Venus), H2B-EGFP, and H2B-mCherry sequences were obtained from Addgene (20971, 11680 and 20972, respectively) and cloned into pcDNA3.1-Neor or pcDNA3.1-Hygror backbones. These pCMV-H2B-XFP plasmids were used in U2OS YFP, G1-3 and R1 cells. For U2OS, 3T3 and MDCK clone screens, the promoter of pCMV-H2B-EGFP was replaced with the Ubiquitin-C promoter (pUB-GFP, Addgene 11155). The LSL-Myc and LSL-Yap plasmids were created in pcDNA 3.1 using a LoxP-(3x pSV40 polyA)-LoxP cassette, the Myc and Yap sequences were coded in-frame with the picornavirus 2A self-cleaving peptide and the H2B-EGFP sequences in order to allow bi-cistronic MYC/YAP and GFP expression. pMC-Cre has been described [33], and was obtained from Dr. Eric Brown (University of Pennsylvania).
shRNA lentiviral vectors and viral particle preparation
pGIPZ shRNAs against Hif1a (shRNA1, RHS4430-98513964; shRNA2, RHS4430-101518881), YAP (RHS4430-98525388), Myc (RHS4430-98853488), Scribbled (RHS4430-98901643) and a non-silencing control (NSC, RHS4348) clones are part of the pGIPZ human whole transcriptome shRNA library (GE Dharmacon) and were kindly provided by Dr. Patrick Paddison (Fred Hutchinson Cancer Center). Lentiviral particles were obtained in 293T cells using the pSPAX2 (Addgene 12260) and pMD2.G (Addgene 12259) packing vector, following the standard procedures. For each lentiviral preparation, 60 x 106 cells were transfected and cultured for 72 hours. Lentiviral particles in the medium were then precipitated using the Lenti-X concentrator reagent (Clontech 631231) and reconstituted in 1 ml of complete medium.
qPCR
Myc, YAP, and Scribbled expression was analyzed using the Superscript RT kit (Life Technologies 18080–051) and the SSoadvanced SYBRGreen qPCR mix (BioRad 172–5260) with the following primers pairs: MYC (GTAGTGGAAAACCAGCAGCCT, AGAAATACGGCTGCACCGAG); YAP (TGACCCTCGTTTTGCCATGA, GTTGCTGCTGGTTGGAGTTG) Scribbled (AGGAGATCTACCGCTACAG, GATCTCAGGGATATCGTTCC); HIF1A (GTGAAGACATCGCGGGGA, GTGGCAACTGATGAGCAAGC); GAPDH (GGTGAAGGTCGGAGTCAACGG, GAGGTCAATGAAGGGGTCATTG).
ATP assay
Cells were grown in 12-well plates as monocultures for 72 hours under normoxic (21% O2) or hypoxic (1.5% O2) conditions. Intracellular ATP was extracted by boiling water method as described previously by Yang et al. [34] with modification. Briefly, cells in 12-well plates were washed with cold PBS twice followed by adding 1 ml of boiling water to the wells directly. After repeated pipetting, cell extracts were cleared by centrifugation at 12000g for 5 min at 4°C. ATP levels in the supernatants were measured using the ENLITEN ATP Assay System Bioluminescence Detection Kit (Promega) following the manufacturer’s instructions. Total protein concentration was determined using the DC Protein Assay (BioRad) following the manufacturer’s recommended protocol.
Supporting Information
Acknowledgments
We are grateful to John Tobias of the Penn Genome Frontiers Institute for help with RNA microarray data mining, and to Rochelle Sadeghi and Yangpeiwei Huang for technical support. Grants.
Data Availability
All microarray data are available from Arrayexpress database (accession number E-MTAB-3204).
Funding Statement
This work was supported by the Pew Charitable Trusts and the Abramson Family Cancer Research Institute.
References
- 1. Amoyel M, Bach EA. Cell competition: how to eliminate your neighbours. Development. 2014;141(5):988–1000. 10.1242/dev.079129 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Levayer R, Moreno E. Mechanisms of cell competition: themes and variations. J Cell Biol. 2013;200(6):689–98. 10.1083/jcb.201301051 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. de Beco S, Ziosi M, Johnston LA. New frontiers in cell competition. Dev Dyn. 2012;241(5):831–41. 10.1002/dvdy.23783 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. de la Cova C, Abril M, Bellosta P, Gallant P, Johnston LA. Drosophila myc regulates organ size by inducing cell competition. Cell. 2004;117(1):107–16. . [DOI] [PubMed] [Google Scholar]
- 5. Johnston LA. Socializing with MYC: Cell Competition in Development and as a Model for Premalignant Cancer. Cold Spring Harbor perspectives in medicine. 2014;4(4). . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Moreno E, Basler K. dMyc transforms cells into super-competitors. Cell. 2004;117(1):117–29. . [DOI] [PubMed] [Google Scholar]
- 7. Brumby AM, Richardson HE. scribble mutants cooperate with oncogenic Ras or Notch to cause neoplastic overgrowth in Drosophila. EMBO J. 2003;22(21):5769–79. 10.1093/emboj/cdg548 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Igaki T, Pagliarini RA, Xu T. Loss of cell polarity drives tumor growth and invasion through JNK activation in Drosophila. Curr Biol. 2006;16(11):1139–46. 10.1016/j.cub.2006.04.042 . [DOI] [PubMed] [Google Scholar]
- 9. Pagliarini RA, Xu T. A genetic screen in Drosophila for metastatic behavior. Science. 2003;302(5648):1227–31. 10.1126/science.1088474 . [DOI] [PubMed] [Google Scholar]
- 10. Moreno E, Basler K, Morata G. Cells compete for decapentaplegic survival factor to prevent apoptosis in Drosophila wing development. Nature. 2002;416(6882):755–9. 10.1038/416755a . [DOI] [PubMed] [Google Scholar]
- 11. Rodrigues AB, Zoranovic T, Ayala-Camargo A, Grewal S, Reyes-Robles T, Krasny M, et al. Activated STAT regulates growth and induces competitive interactions independently of Myc, Yorkie, Wingless and ribosome biogenesis. Development. 2012;139(21):4051–61. 10.1242/dev.076760 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Vincent JP, Kolahgar G, Gagliardi M, Piddini E. Steep differences in wingless signaling trigger Myc-independent competitive cell interactions. Dev Cell. 2011;21(2):366–74. 10.1016/j.devcel.2011.06.021 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Oliver ER, Saunders TL, Tarlé SA, Glaser T. Ribosomal protein L24 defect in belly spot and tail (Bst), a mouse Minute. Development. 2004;131(16):3907–20. 10.1242/dev.01268 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Clavería C, Giovinazzo G, Sierra R, Torres M. Myc-driven endogenous cell competition in the early mammalian embryo. Nature. 2013;500(7460):39–44. 10.1038/nature12389 . [DOI] [PubMed] [Google Scholar]
- 15. Sancho M, Di-Gregorio A, George N, Pozzi S, Sánchez JM, Pernaute B, et al. Competitive interactions eliminate unfit embryonic stem cells at the onset of differentiation. Dev Cell. 2013;26(1):19–30. 10.1016/j.devcel.2013.06.012 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Dabeva MD, Petkov PM, Sandhu J, Oren R, Laconi E, Hurston E, et al. Proliferation and differentiation of fetal liver epithelial progenitor cells after transplantation into adult rat liver. Am J Pathol. 2000;156(6):2017–31. 10.1016/s0002-9440(10)65074-2 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Oertel M, Menthena A, Dabeva MD, Shafritz DA. Cell competition leads to a high level of normal liver reconstitution by transplanted fetal liver stem/progenitor cells. Gastroenterology. 2006;130(2):507–20; quiz 90. 10.1053/j.gastro.2005.10.049 . [DOI] [PubMed] [Google Scholar]
- 18. Norman M, Wisniewska KA, Lawrenson K, Garcia-Miranda P, Tada M, Kajita M, et al. Loss of Scribble causes cell competition in mammalian cells. J Cell Sci. 2012;125(Pt 1):59–66. 10.1242/jcs.085803 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Tamori Y, Bialucha CU, Tian AG, Kajita M, Huang YC, Norman M, et al. Involvement of Lgl and Mahjong/VprBP in cell competition. PLoS Biol. 2010;8(7):e1000422 10.1371/journal.pbio.1000422 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Senoo-Matsuda N, Johnston LA. Soluble factors mediate competitive and cooperative interactions between cells expressing different levels of Drosophila Myc. Proc Natl Acad Sci U S A. 2007;104(47):18543–8. 10.1073/pnas.0709021104 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Chen CL, Schroeder MC, Kango-Singh M, Tao C, Halder G. Tumor suppression by cell competition through regulation of the Hippo pathway. Proc Natl Acad Sci U S A. 2012;109(2):484–9. 10.1073/pnas.1113882109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Tyler DM, Li W, Zhuo N, Pellock B, Baker NE. Genes affecting cell competition in Drosophila. Genetics. 2007;175(2):643–57. 10.1534/genetics.106.061929 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Neto-Silva RM, de Beco S, Johnston LA. Evidence for a growth-stabilizing regulatory feedback mechanism between Myc and Yorkie, the Drosophila homolog of Yap. Dev Cell. 2010;19(4):507–20. 10.1016/j.devcel.2010.09.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Ziosi M, Baena-López LA, Grifoni D, Froldi F, Pession A, Garoia F, et al. dMyc functions downstream of Yorkie to promote the supercompetitive behavior of hippo pathway mutant cells. PLoS Genet. 2010;6(9):e1001140 10.1371/journal.pgen.1001140 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Bacon AL, Harris AL. Hypoxia-inducible factors and hypoxic cell death in tumour physiology. Ann Med. 2004;36(7):530–9. Epub 2004/10/30. 10.1080/07853890410018231 . [DOI] [PubMed] [Google Scholar]
- 26. Bondar T, Medzhitov R. p53-mediated hematopoietic stem and progenitor cell competition. Cell Stem Cell. 2010;6(4):309–22. 10.1016/j.stem.2010.03.002 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Morata G, Ripoll P. Minutes: mutants of drosophila autonomously affecting cell division rate. Dev Biol. 1975;42(2):211–21. . [DOI] [PubMed] [Google Scholar]
- 28. Lolo FN, Casas-Tintó S, Moreno E. Cell competition time line: winners kill losers, which are extruded and engulfed by hemocytes. Cell Rep. 2012;2(3):526–39. 10.1016/j.celrep.2012.08.012 . [DOI] [PubMed] [Google Scholar]
- 29. Díaz B, Moreno E. The competitive nature of cells. Exp Cell Res. 2005;306(2):317–22. 10.1016/j.yexcr.2005.03.017 . [DOI] [PubMed] [Google Scholar]
- 30. Rhiner C, López-Gay JM, Soldini D, Casas-Tinto S, Martín FA, Lombardía L, et al. Flower forms an extracellular code that reveals the fitness of a cell to its neighbors in Drosophila. Dev Cell. 2010;18(6):985–98. 10.1016/j.devcel.2010.05.010 . [DOI] [PubMed] [Google Scholar]
- 31. Petrova E, López-Gay JM, Rhiner C, Moreno E. Flower-deficient mice have reduced susceptibility to skin papilloma formation. Dis Model Mech. 2012;5(4):553–61. 10.1242/dmm.008623 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. de la Cova C, Senoo-Matsuda N, Ziosi M, Wu DC, Bellosta P, Quinzii CM, et al. Supercompetitor Status of Drosophila Myc Cells Requires p53 as a Fitness Sensor to Reprogram Metabolism and Promote Viability. Cell Metab. 2014;19(3):470–83. 10.1016/j.cmet.2014.01.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Gu H, Zou YR, Rajewsky K. Independent control of immunoglobulin switch recombination at individual switch regions evidenced through Cre-loxP-mediated gene targeting. Cell. 1993;73(6):1155–64. . [DOI] [PubMed] [Google Scholar]
- 34. Yang NC, Ho WM, Chen YH, Hu ML. A convenient one-step extraction of cellular ATP using boiling water for the luciferin-luciferase assay of ATP. Anal Biochem. 2002;306(2):323–7. . [DOI] [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 microarray data are available from Arrayexpress database (accession number E-MTAB-3204).