Abstract
Cell proliferation underlying tissue growth and homeostasis, requires high levels of metabolites such as deoxynucleotides (dNTPs). The dNTP pool is known to be tightly cell-autonomously regulated via de novo synthesis and salvage pathways. Here, we reveal that nucleotides can also be provided to cells non-autonomously by surrounding cells within a tissue. Using Drosophila epithelial tissues as models, we find that adult intestinal stem cells are highly sensitive to nucleotide depletion whereas wing progenitor cells are not. Wing progenitor cells share nucleotides through gap junction connections, allowing buffering of replication stress induced by nucleotide pool depletion. Adult intestinal stem cells, however, lack gap junctions and cannot receive dNTPs from neighbors. Collectively, our data suggest that gap junction-dependent sharing between cells can contribute to dNTP pool homeostasis in vivo. We propose that inherent differences in cellular gap junction permeability can influence sensitivity to fluctuations of intracellular dNTP levels.
One-Sentence Summary The nucleotide pool can be shared between adjacent cells through gap junctions allowing tissue-level buffering of replication stress.
Main Text
Essential metabolic resources such as amino acids and nucleotides form the building blocks of cell growth and division. How metabolic resources are regulated and distributed in developing and adult tissues is not fully understood. Deoxynucleotide triphosphate (dNTP) production is tightly regulated and defects in dNTP balance can have dire effects, leading to replication stress, DNA damage, and high levels of genetic instability1–4. dNTP production can occur via de novo synthesis and nucleotide salvage pathways. While de novo dNTP synthesis uses amino acids and folate cycle metabolites to produce dNTPs, the salvage pathway relies on precursor deoxynucleosides imported from the extracellular environment or recycled intracellularly from intermediate metabolites5. Proliferative tissues use both de novo and nucleotide salvage pathways4–11.
A critical node of de novo synthesis is the enzymatic activity of ribonucleotide reductase (RNR), which catalyzes the rate-limiting step of this pathway. It is exquisitely controlled with its activity peaking in S-phase when dNTPs are required and is further allosterically tuned through binding of dNTPs12,13. In addition to this cell-intrinsic control of dNTP levels, external hormones and growth factors activate de novo dNTP synthesis, thereby linking local and systemic cues for tissue growth and cell proliferation to dNTP production14–17. Thus, a large body of literature has demonstrated that dNTP levels are tightly regulated cell-autonomously with additional important input from extracellular signals leading to "privatized" cell-intrinsic production of dNTPs.
Studies of transformed cells in culture provided evidence of “metabolic cooperation”, allowing for sharing of metabolites which could benefit or harm adjacent cells18,19. This cooperative phenomenon occurred between cells in physical proximity and correlated with the presence of gap junctions, leading to the notion that gap junctions underlie this effect20. Nevertheless, cell contact-independent transfer of metabolites was also found and other cellular routes including exosomes and nanotubes can also facilitate metabolite transfer between cells21,22. Despite these early studies on metabolic sharing of cells in culture, functions in vivo of metabolic sharing and its impact on replication stress in developing and adult tissues is not known. Moreover, whether differences exist between tissues in their capacity to share metabolites is not well understood.
Here, we provide in vivo evidence of dNTP collective resource sharing at the tissue level depending on exchange of nucleotides from neighboring cells through gap junctions. Our data indicate that a “socialized” mechanism acts within the developing Drosophila wing disc allowing tissue-level regulation of nucleotides. This gap junction-dependent exchange provides an important buffering mechanism when dNTP pools are perturbed. However, not all tissues benefit from resource sharing between cells: we find that Drosophila adult intestinal stem cells (ISCs) lack gap junctions, have privatized dNTP resources, and are incapable of buffering their dNTP pool when it is depleted. Thus, cells may “privatize” or “socialize” dNTP resources at the tissue-scale, which can impact their ability to respond to changes in dNTP levels. The ability to exchange dNTPs with neighboring cells has important implications for understanding the propensity of cells and tissues to encounter replication stress.
Results
Intestinal stem cells are highly sensitive to nucleotide depletion
Previous data suggest a potential role for replication defects in promoting adult stem cell mutagenesis and age-related functional decline23–27. We, therefore, further investigated how replication stress affects Drosophila adult intestinal stem cells.
Intestinal stem cells (ISCs) replenish terminally differentiated enteroendocrine cells (EEs) and enterocytes (ECs) during homeostasis and in response to tissue damage (Figure 1A)28,29. To induce replication stress, we targeted the nucleotide pool through inactivation of RnrL, the large subunit of RNR, critical for dNTP synthesis13. RnrL was found to be expressed in replication-competent cells in the intestine, with terminally differentiated cells lacking RnrL expression (Figure S1A-B, see also30). Knockdown (KD) of RnrL in adult ISCs led to high levels of the phosphorylated histone variant and marker of DNA double strand breaks, γH2Av (the Drosophila ortholog of γH2Ax) and foci of Replication protein A, associated with replication stress (RpA70-GFP; Figure 1B-E; Figure S1C-E”). Consistent with induction of replication stress, an increased proportion of ISCs in S phase and higher levels of γH2Av in S phase than in G1 or G2 was detected by the FUCCI system, which fluorescently marks distinct cell cycle states31 (Figure 1F-I). Feeding adult flies with hydroxyurea (HU), a drug that inhibits RNR, also induced replication stress in ISCs as detected by γH2Av and RpA70-GFP, and blocked stem cell proliferation (Figure S1E-I). Clonal inactivation of RnrL in ISCs and their progeny impacted clone growth and induced DNA damage in ISCs as well as other cells in the lineage, which rely on dNTPs for replication in S phase prior to terminal differentiation (Figure 2A-C, Figure S1J-L). Both clonal KD as well as long-term depletion in ISCs of RnrL resulted in stem cell loss (Figure 2D-G). Moreover, the ability of stem cells to mount a regenerative response was severely impaired after 2 days of RnrL KD (Figure 2H). We conclude that the inactivation of RnrL in ISCs has strong effects, causing S phase delays, high levels of DNA damage, stem cell loss, and lineage perturbation. Our data indicate that intestinal stem cells are highly sensitive to replication stress induced by cell-autonomous nucleotide depletion, consistent with known reliance of proliferating cells on the cell intrinsic de novo pathway controlling dNTP production5.
Wing disc progenitor cells have limited defects upon inactivation of Ribonucleotide reductase
Given our findings of strong defects following nucleotide pool reduction in ISCs, we were surprised to find that wing imaginal disc progenitor cells (Figure 3A), which are highly proliferative during larval stages, behaved differently upon RNR inactivation. In striking contrast to ISCs, a majority of RnrL KD clones in the wing disc lacked DNA damage and were indistinguishable from wild-type clones (∼95%, n=506/533), with only ∼5% of clones (+/- 3%, n=27/533) having some detectable γH2Av (Figure 3B-D’). RnrL protein was found to be efficiently depleted by KD (Figure 3E-F’), therefore, why does clonal perturbation of RNR activity have a minimal effect on proliferating wing disc cells?
We considered that activity of the dNTP salvage pathway may produce dNTP precursors, making the de novo synthesis pathway non-essential in this context. To test this possibility, we knocked down the dnk gene, encoding the sole Deoxyribonucleoside Kinase in Drosophila, an essential component of the salvage pathway (Figure S2A-E’). The combined reduction of salvage and de novo pathway activity (dnk KD + RnrL KD) was similar to RnrL KD, with a majority of clones having no DNA damage (Figure S2F-L’). In addition, the KD of dnk alone in clones did not increase DNA damage, despite efficient depletion of Dnk by RNAi (Figure S2A-B’). Thus, we conclude that the salvage pathway does not have a major role in compensating dNTP precursors in absence of de novo synthesis. If the salvage pathway does not compensate for de novo nucleotide synthesis, how might wing progenitors undergo replication in absence of RNR activity? One clue came from the ∼5% of RnrL KD clones with DNA damage: we noticed that cells with γH2Av were positioned in the center of the clones, 20-35μm from the border with wild-type cells (Figure 3D, D’, G-J; Figure S2M-N). Clones with DNA damage appeared throughout the pouch and wing blade area, with no obvious bias in location (Figure 3A-Q’). Furthermore, when RnrL was depleted in the posterior half of the wing disc using the engrailed-Gal4 driver, high levels of DNA damage were detected on the posterior-most side, ∼40-50 µm from the engrailed domain border with wild-type tissue (Figure 3K-N, Figure S3R-S’). Thus, our data suggest that only when RnrL KD cells are far from wild-type cells, do they acquire marks of DNA damage. We therefore explored an alternative hypothesis that a non-autonomous rescue mechanism of nucleotides may arise from neighboring wild-type cells in the tissue.
Gap junctions can rescue defects of Ribonucleotide reductase depletion
Considering the relationship between the location of cells with DNA damage and the proximity to wild-type tissue, we reasoned that nucleotides might be transferred from wild-type cells to RnrL KD cells. Gap junctions, which can allow the passage of small metabolites and ions (<1 kDa), are formed by interactions of transmembrane hemichannels which join between adjacent cells and form pores (Figure 4A)32. In Drosophila, gap junctions are made by eight Innexin proteins forming homotypic or heterotypic complexes33,34. Previous work suggested that the sugar, GDP-L-fucose (∼580 Da), can be transferred between cells of the wing disc in a manner that relies on the gap junction component Inx235. We therefore hypothesized a role for gap junctions in the non-autonomous rescue mechanism in wing disc progenitor cells that can buffer replication stress via transfer of nucleotides (∼500 Da). In the wing disc, the gap junction protein, Inx2 was broadly expressed and reduced upon expression of Inx2 RNAi (Figure 4B-C’). While Inx2 RNAi alone did not induce DNA damage (Figure 4D-G’, I-J), co-depletion of RnrL and Inx2 led to high levels of γH2Av in the clonal tissue (91% of clones, n= 243/267, Figure 3D-J). Thus, upon concomitant loss of gap junctions and RNR activity, DNA damage is observed, independent of proximity to wild-type cells. In addition, co-depletion of RnrL and Inx2 resulted in smaller clones than controls, consistent with cell proliferation impairment due to replication problems (Figure 4H, K).
If nucleotide sharing occurs through gap junctions to neighboring tissue, then blocking gap junctions in cells adjacent to those depleted for nucleotides should induce DNA damage at the border of these populations of cells. To test this, twin-spot clones were produced whereby GFP+ clones expressing RnrL RNAi were induced adjacent to clones marked by loss of RFP that were homozygous for Inx2A, a null allele. Control genotypes did not show DNA damage at the RFP-/GFP+ clone boundary (Figure 4L-L’”, N; Figure S4A-D). Consistent with the above data in Fig. 3C-D’, ∼5.2% of discs with RnrL KD GFP+ clones adjacent to RFP-wild-type tissue had γH2Av accumulation in middle of the GFP+ clones (Figure 4N; Figure S4C-D). However, consistent with the transfer of nucleotides from adjacent cells via gap junctions, most RnrL KD GFP+ clones with DNA damage had γH2Av accumulation at the border with RFP-Inx2 mutant tissue (Figure 4M-M”’, N; Figure S4E-H). Together these data support the model that gap junctions between cells buffer levels of nucleotides and replication stress.
Additional evidence for an important role of gap junctions in nucleotide sharing between wing disc cells was found upon knockdown of other enzymes important for dNTP synthesis upstream of RNR (Figure S5A). The concomitant inactivation of gap junctions with KD of either CTP-synthetase (CTPsyn) or Phosphoribosyl pyrophosphate synthetase (Prps) led to γH2Av accumulation (Figure 5B-H; Figure S5B-H’, K-L’). Similarly, the inactivation of GMP-synthetase, bur, resulted in gap junction-dependent appearance of DNA damage in 20% of discs (Figure 5B, I-J; Figure S5B, I-J’). A similar effect was observed upon KD of dnk (Figure S5M-P’). Of note, the knockdown of these nucleotide biosynthesis enzymes alone, did not result in DNA damage, unlike RnrL KD, which showed a gradient of DNA damage. This is consistent with RNR activity being a key rate-limiting step in dNTP production. In addition, we note that enzymes with more general roles in ribonucleotide production (Prps RNAi#2, Adenylosuccinate Synthetase – AdSS) also had severe gap junction-dependent growth defects (Figure S5L, L4, Q-R’). DNA damage was not detected in these contexts, likely caused by a primary phenotype of growth restriction due to reduction of the ribonucleotide pool, precluding replication defects that require proliferation. Altogether, these data support gap junction-dependent buffering of nucleotide levels.
Intestinal stem cells lack gap junctions
While wing disc epithelial cells can buffer the effects of dNTP pool perturbation through gap junctions, our data above indicated that, in contrast, intestinal stem cells are highly sensitive to depletion of dNTPs upon RnrL KD. To understand better the lack of buffering capacity of ISCs, we investigated gap junction protein expression and localization in the adult midgut.
From cell type-specific RNAseq data36, we determined that Inx2, Inx3, and Inx7 genes are highly expressed in the midgut, with Inx1 (ogre), Inx4, Inx5, Inx6, Inx8 (shkB) expressed at very low levels (Figure 6A-B). In midgut cells, Inx1 and Inx3 appeared to form intracellular puncta and were not enriched at the cell membranes (Figure S6A-F’’), with the exception of a small population of enteroendocrine (EE) cells in the middle midgut that had high levels throughout the cell (R3 region and adjacent regions of R2 and R4, Figure S6G-H’’). Inx8 (shkB) was detectible in some R2 ISCs as puncta, but did not show membrane enrichment (Figure S6I-J’’). Consistent with their very low RNA expression, Inx4, Inx5, and Inx6 proteins were undetectable in the midgut (Figure S6K-M’’). Thus, no cell-to-cell membrane localization, which would be indicative of gap junction formation, was detected with these innexins (Inx1, 3, 4, 5, 6 and 8).
Inx2 and Inx7, in contrast, were strongly enriched at cell membranes of enterocytes (ECs; Figure 6C-D”), consistent with previous data37,38. Moreover, the loss of Inx2 function in clones resulted in absence of Inx7 immunoreactivity in clones and of Inx7 membrane localization in adjacent wildtype cells (Figure 6E-G’). Thus, Inx2 and Inx7 form gap junctions between neighboring ECs and Inx2 is required for Inx7 accumulation in the cell. Gap junctions localized to the basal membranes below septate junctions in ECs (Figure S6N-O’).
Strikingly, membrane location of Inx2 and Inx7 was undetectable in ISCs (Dl>GFP+ cells, arrows Figure 6B-D’’) consistent with low levels of RNA detected in ISC-specific data (Figure 6A, from 36). Inx7 and Inx2 were also absent at the membranes of the diploid EBs, enteroendocrine cells (marked by the transcription factor Prospero), and young ECs (Figure 6B-D”, H-J) and showed some regional variation in expression (Figure S7). We conclude that gap junctions in the adult midgut are restricted to mature, differentiated ECs and are absent from ISCs. It is therefore, likely that ISCs rely solely on cell-autonomous production of dNTPs for DNA replication. A lack of ability to receive dNTPs from neighboring cells could explain the vulnerability of ISCs to replication stress induced by nucleotide depletion compared to disc progenitor cells.
In situ visualization of nucleotides supports gap junction-dependent dynamics across the tissue scale
We then wanted to provide direct evidence for gap junction-dependent nucleotide exchange. We took advantage of the fact that 5-ethynyl-2 deoxyuridine (EdU) is a nucleoside analogue that can be tracked in the cell through fluorescent labelling. EdU is imported into the cell through nucleoside transporters and then converted via the salvage pathway (Dnk) into EdU-monophosphate (Figure 7A). Dnk, therefore, is essential to produce an EdU form that can be incorporated into DNA during replication, and the KD of dnk should block EdU nuclear staining. However, if gap junctions transport dNTPs between neighboring cells, sharing should occur of the EdU nucleotide produced in the adjacent wild-ype cells with dnk depleted cells, thus resulting in EdU nuclear incorporation in the adjacent dnk depleted cells (Figure 7A). To test this, we first assessed EdU ex vivo incorporation upon KD of dnk in the posterior compartment of the wing disc. While control discs (Figure 7B-B’’’) and those expressing Inx2 RNAi (Figure 7C-C’’’) or a dominant-negative form of Inx2 (RFP-Inx2DN, Figure 7F-F’’’) incorporated EdU throughout anterior and posterior compartments, dnk KD resulted in a graded appearance of EdU nuclear labelling in the posterior compartment, indicating that EdU-triphosphate was present in these cells despite the lack of dnk required to produce it (Figure 7D-D”’, G-G’’’). The EdU nuclear labelling in the posterior compartment of dnk KD discs was abolished upon gap junction inhibition (Figure 7E-E”’, H-H’’’), indicating that gap junctions allow the passage between cells of nucleotides. Similarly, clones lacking dnk could incorporate EdU in a manner dependent on inx2 (Figure S8A-B’), indicating transfer via gap junctions from neighboring cells. Thus, tissue-level transfer of nucleotides occurs in vivo via gap junctions.
ISCs that lack gap junctions would be predicted to be incapable of receiving dNTPs from neighboring cells. To test this, we then compared nuclear EdU incorporation in ISCs expressing the FUCCI cell cycle reporter of a control genotype or KD of dnk (to block cell-autonomous phosphorylation of EdU). While 9.9% of control ISCs (Dl-Gal4>FUCCI+ cells) had nuclear EdU incorporation, dnk KD ISCs had a very strong reduction (0.4%; Fig. 7I-K). Thus, in contrast to wing disc cells, where gap junctions facilitate phosphorylated EdU transfer, ISCs do not receive phosphorylated EdU from adjacent cells.
Altogether, these findings lead us to propose that the resource sharing of nucleotides through gap junctions provides an important source of dNTPs which can buffer replication stress at the tissue-level (Figure 7L). Moreover, these data suggest that the gap junction connectivity can impact how sensitive cells are to changes in intracellular dNTP and replication stress.
Discussion
The textbook view of nucleotide metabolism describes their production cell autonomously via the salvage and de novo synthesis pathways6,39. Our findings reveal an additional abundant source of nucleotides shared from neighboring cells via gap junctions. The ability of gap junction-dependent rescue to compensate for loss of de novo synthesis in clones of adjacent cells indicates that it is a robust and potent mechanism acting over large areas of tissue. This favors the idea that nucleotides are being constantly shared between cells connected by gap junctions and thereby comprising a metabolic compartment. This model challenges the current views of nucleotide pools described as being only cell-intrinsically controlled through anabolism and catabolism5.
Maintaining the correct concentration of nucleotides is thought to be critical for correctly paced, error-free DNA synthesis40. Evidence from yeast and mammalian cells suggests that nucleotides are usually limiting in concentration in cells, necessitating tight regulation throughout the cell cycle, with production peaking in S phase followed by dNTP degradation at the end of mitosis12. Early embryos, on the other hand, are pre-stocked with maternal supplies of dNTPs41,42. However, slightly later in embryogenesis, dATP concentrations decrease, removing repression of RNR and thereby activating de novo dNTP synthesis41. This precise control is critical in later embryonic stages as artificially high levels perturb cell cycle kinetics, nuclear movement, and transcriptional output43–45. Our findings that nucleotides can be shared between a population of dividing cells therefore raise several important questions pertaining to tissue development and growth: Which cells can donate nucleotides-only those in S phase? Is the concentration of dNTPs equilibrated between the cells of a tissue connected by gap junctions? Does suboptimal dNTP concentrations occur in cells readily exchanging nucleotides and lead to DNA replication or transcription errors? Further investigation of gap junction-dependent sharing of nucleotides within tissues is needed to understand replication at the level of a tissue and contributions of this to development and homeostasis. This could help optimize cancer treatments that act on nucleotide pools perturbation, which may be greatly influenced by this sharing.
Gap junctions have been proposed to subdivide tissues into compartments of metabolite exchange, though this is not well understood in vivo46. Early studies based on ionic coupling and permeability of injected dyes demonstrated selective connectivity between groups of cells47,48. For example, while cells of the early mouse embryos are coupled, boundaries of communication exist between different populations of cells in later stage embryos49. Similarly, compartments of restricted dye coupling have been demonstrated in mammalian skin50–52. Our data suggest that neighboring cells of the wing disc form a metabolic compartment that can exchange nucleotides. Our findings are consistent with those using dye injection of Fraser and Bryant 53, but in contrast to conclusions of previous studies of Weir and Lo54,55 suggested that intercellular communication did not cross the anterior-posterior (AP) compartment boundary of the wing disc. We detected innexin-dependent nucleotide exchange within clones throughout the wing disc as well as innexin-dependent EdU passage through the AP compartment boundary of L3 wing discs. Similarly, studies of Ca2+ waves using GCaMP signaling found fluctuations moving across the AP boundary of wing pouch in developing and regenerating wing discs56–58. Could these differences be due to altered permeability of Luciferase versus nucleotides? Consistent with this possibility, Warner and Lawrence demonstrated that differences exist in cell-to-cell permeability between Luciferase Yellow (less permeable) and a smaller molecule (lead-EDTA, more permeable) over the segmental boundaries in the epidermal cells of milk weed and blowfly larvae59. Of note, our data do not exclude potential boundaries between subpopulations of cells within the wing disc. Interestingly, we found evidence that EdU did not transfer from outside the wing pouch to inside this area, suggesting that while globally wing disc cells can exchange dNTPs, local boundaries may nevertheless be present (Figure S8D-G’). This finding was also noted for calcium waves, which were restricted within the folds of the pouch58. Thus, subtle differences in size or other molecular features as well as altered gap junction expression or tissue constraints could impact the limits of metabolic boundary compartments. Furthermore, it is also possible that in some cell types, larger molecules such as GFP (Mw=25kDa) may pass through gap junction like-pores as recently demonstrated in polyploid cells of the Drosophila hindgut32,60.
Additional studies have begun to unravel aspects of gap junction-mediated metabolic exchange61, though these are primarily focused on calcium due to its ease of detection with sensors such GCaMP62. The innexin-dependent propagation of calcium waves between cells is detectable in numerous tissues including glia, neurons, epidermal cells, imaginal discs progenitors, enterocytes, and the lymph gland in Drosophila37,38,56–58,63–67. Of note, stem cells are often metabolically linked to neighboring cells with gap junctions, including mammalian skin stem cells68 and Drosophila germline stem cells69. It is somewhat surprising then that Drosophila ISCs do not have gap junction connections to neighboring cells. This may be related to the need to isolate stem cells in gut epithelia from their adjacent differentiated cells that have diverse metabolic functions and likely have very different concentrations of metabolites. Overall, our findings underline that tissue-level metabolite exchange has important implications for understanding homeostasis of developing and growing of tissues. Given their increased number of gap junction protein-coding genes (22 connexins in humans vs 8 innexin genes in Drosophila) and possible combinations of gap junction assembly, it is likely that mammalian tissues have additional levels of regulation on metabolite exchange, consistent with a recent preprint70. Our study, therefore, provides a starting point for future investigation to better understand the molecular features and tissue barriers controlling metabolite flows within tissues and the impact this has on development and homeostasis.
Funding
Work in the Bardin lab is supported by Fondation pour la Recherche Médicale (A.J.B., EQ202003010251), the program “Investissements d’Avenir” launched by the French Government and implemented by ANR, ANR SoMuSeq-STEM (A.J.B., ANR-16-CE13-0012-01), ANR ChronoDamage (A.J.B., ANR-20-CE13-0013_01), ANR Enviro-Print (A.J.B., ANR-23CE13-0024-01), ANR Infinitesimal (A.J.B., ANR 23CE15003802), Labex DEEP (ANR11-LBX-0044), IDEX PSL (ANR-10-
IDEX-0001-02 PSL). Salary support for A.J.B. was from the CNRS and B.B from ENS de Lyon, FRM (FDT202001010957). R.B was supported by the SFB 645.
Author Contributions
Conceptualization: BB, AJB.
Methodology: BB, AJB.
Reagent contribution: RB.
Investigation: BB, GLM, TM, ME-H, MS.
Visualization: BB, MS, GLM, AJB.
Funding acquisition: BB, AJB.
Project administration: AJB.
Supervision: BB, AJB.
Writing – original draft: BB, AJB.
Writing – review & editing: BB, RB, AJB.
Competing interests
Authors declare that they have no competing interests.
Data and materials availability
All data are available in the main text or the supplementary materials, and all reagents can be made available from the corresponding author upon request.
MATERIALS AND METHODS
Fly Stocks
The experiments presented in this manuscript used the following fly lines.
From the Bloomington stock center: UAS-2XGFP (BL6874), UAS-nlsRFP (BL30556), UAS-RnrL RNAi #1 (BL51418), UAS-RnrL RNAi #2 (BL44022), CTPsyn RNAi #1 (BL53378), UAS-CTPsyn RNAi #2 (BL31752), UAS-UAS-CTPsyn RNAi #3 (BL31924), UAS-Prps RNAi #1 (BL60086), UAS-Prps RNAi #2 (BL35219), UAS-dnk RNAi #3 (BL65886), UAS-dnk RNAi #4 (BL35219), UAS-bur RNAi #1 (BL60432), UAS-bur RNAi #2 (BL31055), Inx2A FRT19A (BL54481), UAS-AdSS RNAi (BL33993).
From the Vienna Drosophila Resource Center: UAS-dnk RNAi #1 (v39137), UAS-dnk RNAi #2 (v103385).
The following stocks were gifts: w1118 (M. McVey); RpA70-GFP 31 (E. Wieschaus); FUCCI 31(B. Edgar); En-Gal4 (Y. Bellaiche, P. Leopold); nub-Gal4 71 (P. Leopold) ;UAS-Inx2RNAi and UAS-RFPInx2DN 64(P. Spéder); Su(H)GBE-LacZ 72 (S. Bray); MARCM19A and FRT19A (A.Gould); hs-flp; ; tub-FRT-GAL80-FRT-GAL4, UAS-mRFP/TM6b, Tb, Hu (originally gift of E. Martin-Blanco to Y. Bellaiche; 73); UAS-rnrL-P2A-rnrS30 (M. Dasso).
The Deltats line was generated from the DeltaGal4/TM6TbHu (S. Hou). It was used to generate: UAS-2xGFP; Deltats/ TM6TbHu; UAS-RFP;Deltats/ TM6TbHu; FUCCI; Deltats/TM6TbHu.
The flies used for the TwinSpot experiment were generated using stocks from the Bloomington stock center: BL42726, BL31406, BL54481, BL51418
The table S1 summarizes all the stocks used, and the table S2 indicates the genotypes used and represented in each figure.
Unless indicated the flies were kept at 25°C on standard medium with yeast. For the temperature sensitive experiments, flies were crossed at 18°C and the progeny kept at 18°C until 2-3 days old adult were collected and transferred at 29°C for the time of the experiment (2, 4, 8 or 25 days) before dissection, with fresh medium provided every 2-3 days.
HU feeding
For the hydroxyurea (HU) feeding experiments, 3-4 days old flies were placed on food supplemented with sterile distilled water (Control) or 10 mg/mL of HU diluted in sterile distilled water.
Clone Induction
MARCM in the gut: For the clone induction in the gut, adult flies 2-3 days after eclosion were heat-shocked at 36.5°C for 30 mins and then kept at 25°C on yeasted food for the duration of the experiment. FlipOut and TwinSpots in wing disc:
For the clone induction in the larval wing discs, adult flies were left on yeasted food at 25°C to lay eggs for 24 hours. Progeny were heat-shocked at 37°C for 1h, 24 hours after the end of the egg laying period, and then kept at 25°C for the duration of the experiment. The wing discs were dissected 90-96 hours later, at late L3 stage (wandering larvae).
Immunostaining
Guts
The tissues were fixed and stained following a previously published protocol 74. Briefly, the flies were dissected in Dulbecco’s PBS (Sigma-Aldrich D1408) and the tissues were fixed at room temperature in 4% paraformaldehyde for 2 hrs (female guts) or 30 mins (discs). They were then washed in PBS + 0.1% Triton X-100 (Euromedex 2000-C) (PBT). To remove the content of the gut lumen, the fixed guts were equilibrated 30 mins in PBS-50% Glycerol (Sigma-Aldrich G9012) and then washed in PBT to osmotically release gut contents. The primary antibody staining was performed overnight at 4°C in PBT. After washing with PBT 20 mins, 3 times, the secondary antibodies were incubated 3-4 hrs at room temperature (RT). After washing with PBT 2 times, nuclei were counterstained with DAPI in PBT for 20 mins (1µg/ml).
Discs
Adapted from a protocol provided by V. Loubiere (75 G. Cavalli lab). Wandering larvae were collected, and wing imaginal discs were quickly dissected at RT in 1× PBS before being fixed for 20 min in 4% paraformaldehyde. Imaginal discs were then permeabilized for 1 hour in 1× PBS + 0.5% Triton X-100 and blocked for 1 hour in 3% bovine serum albumin (BSA) PBTr (1× PBS + 0.025% Triton X-100). Then, primary antibodies were added in 1% BSA PBTr and incubated overnight at 4°C. The following day, discs were washed in PBTr, secondary antibodies were added and incubated for 2 hours at RT. After washing with PBTr, nuclei were counterstained with DAPI in PBTr for 20 mins (1µg/ml).
Antibodies
The antibodies used were: chicken anti-GFP (1:2000, Invitrogen #A10262), rabbit anti-DsRed (1:1000, Clontech #632496), mouse anti-RFP (Invitrogen (RF5R), rabbit anti-γH2Av (1:2000, Rockland 600-401-91), rabbit anti-Inx776 (1:100, R. Bauer), guinea pig anti-Inx277 (1:1000, G. Tanentzapf), rabbit anti-Inx278 (1:1000, G. Ammer), rabbit anti-Inx379 (1:70, R. Bauer), rabbit anti-Inx178 (1:1000, G. Ammer), rabbit anti-Inx478 (1:1000, G. Ammer), rabbit anti-Inx578 (1:500, G. Ammer), rabbit anti-Inx678 (1:1000, G. Ammer), rabbit anti-Inx8 serum78 (1:1000, G. Ammer), goat anti-βGal (1:200, F. Schweisguth), chicken anti-βGal (1:2000, Abcam ab9361), rabbit anti-PH3 (ser10, 1:2000, Merck Millipore #06-570), rabbit anti-RnrL30 (1:200, A. Arnaoutov), rabbit anti-DNK80 (1:20000, A. Lalouette).
The antibodies mouse anti-γH2Av (1:200, DSHB UNC93-5.2.1), mouse anti-Delta (1:1000, DSHB C594.9B), mouse anti-Arm (1:200, DSHB N2 7A1), mouse anti-Pros (1:2000, DSHB MR1A-c), and mouse anti-Cora (1:100, DSHB C615.16) were developed respectively by R. S. Hawley (Stowers Institute), S. Artavanis-Tsakonas (Harvard Medical School), E. Wieschaus (Princeton University), C.Q Doe (University of Oregon), and R. Fehon (University of Chicago), and were obtained from the Developmental Studies Hybridoma Bank, created by the NICHD of the NIH and maintained at The University of Iowa, Department of Biology, Iowa City, IA 52242.
The secondary antibodies were from Jackson Laboratory, raised in donkey with different fluorophores (DyLight 488, 549, 649), see table S3 for reference.
5-ethynyl-2 deoxyuridine (EdU) treatment and labelling
For the EdU incorporation experiment in wing discs, wandering larvae (late L3 stage) were collected and dissected in Schneider’s culture medium supplemented with L-glutamine (Sigma-Aldrich S0146) for 10mins. Then, EdU (Invitrogen by Thermo Fisher Scientific -C10340) was added to the dissection medium at a final concentration of 1µM, and the dissected wing discs were incubated for 30 mins at 25°C. After washing once quickly with PBS, the wing discs were fixed with PFA and stained with different antibodies following the procedure detailed above. The EdU Click-iTTM reaction was then performed for 30 mins following the manufacturer’s protocol to label incorporated EdU with Alexa FluorTM 647 dye (Invitrogen by Thermo Fisher Scientific - C10340). After washing with PBTr, nuclei were counterstained with DAPI in PBTr for 20 mins (1µg/ml).
For the EdU incorporation experiment in midguts, adult Drosophila female flies were dissected in Schneider’s culture medium supplemented with L-glutamine (Sigma-Aldrich S0146) for 10 mins. Then, EdU (Invitrogen by Thermo Fisher Scientific - C10340) was added to the dissection medium at a final concentration of 10 µM and the dissected midguts were incubated for 3 hours at 25°C in a humid chamber. After washing once quickly with PBS, the midguts were fixed with PFA and stained with different antibodies following the procedure detailed above. The EdU Click-iTTM reaction was then performed for 30 mins following the manufacturer’s protocol to label incorporated EdU with Alexa FluorTM 647 dye (Invitrogen by Thermo Fisher Scientific - C10639). After washing with PBT, nuclei were counterstained with DAPI in PBT for 20 mins (1µg/ml).
Ecc15 bacterial infection
First, for each conditions 15 adult female flies were mixed with 3 males in a tube and transferred at 29°C for 2 days to induce stem cell specific dnk KD and/or GFP expression. Ecc15 bacteria treatment were conducted as previously published81, briefly, after 4 hours of starvation at 29°C flies were treated in tubes on filter paper soaked with a 1:1 mix of OD200 Ecc15 bacterial culture and 5% sucrose (Ecc15 infection) or a 1:1 mix of LB and 5% sucrose (no infection control). Proliferation response was assayed 15 hours after the treatment started.
Microscopy and Image Analysis
Microscopy images were taken at the Cell and Tissue Imaging Platform – PICT-IBiSA of the UMR3215 of Institut Curie using the Zeiss confocal microscope LSM900 with a water 25x objective (whole discs), oil 40x objective (most of the gut images), Zeiss confocal microscope LSM780 with oil 25x objective (whole-disc images); Zeiss Apotome microscope 10X (whole-gut images). The images were processed, and the quantification performed using Fiji, unless another software is mentioned below.
PH3+ cells, stem cell loss and MARCM clone size
For visualizations and quantifications of stem cell loss, MARCM clone size (cell number per clones) and PH3+ cells in adult midguts, we used a 20x dry objective on the Leica epifluorescence microscope DM6000B to score each phenotype.
FUCCI and MARCM analysis in the gut
FUCCI and clonal (MARCM) experiments in the gut used Fiji/ImageJ82 for microscope image processing and quantification. Cell nuclei were manually outlined in Fiji for γH2Av intensity measures. For the FUCCI experiment, GFP and RFP intensities were also measured in the outlined nuclei, the ratio of GFP and RFP intensity and a visual confirmation allowed the attribution of cell cycle phases to individual stem cells.
For the clonal (MARCM) experiments, the cells were attributed a specific identity based on Prospero, Delta and DAPI staining. ISCs were identified with Delta staining, EEs with nuclear Prospero staining, ECs with a large nucleus (>20µm2), and EBs had small nuclei (<20µm2) without Delta or Pros. The limit of 20µm2 area for an EC nucleus was determined based on GFP staining in MyoAGal4 flies, in which GFP expression is driven specifically in ECs.
γH2Av mean intensity and RpA70-GFP max intensity measures in ISCs
For the measurement of γH2Av mean intensity and RpA70-GFP max intensity in ISCs, in the case of Deltats driven GFP or RFP expression: The detection and outline of ISC nuclei was performed automatically on Fiji from maximum projections of the confocal Z-stacks images with a macro that we implemented: the DAPI and GFP intensity were used, respectively, to automatically outline the cell nuclei and the ISC cell area. The intersection of both “masks” indicated stem cell nuclei. The intensity thresholds used for both channels were determined for each experiment as the value depends on varying staining conditions and microscope settings. Several rounds of smoothing on Fiji allowed the refinement of ISC nuclei outlines. Importantly, for the analysis, nuclei with area <5µm2 or >20µm2 (ECs or nuclei fusion due to the maximum projection) were not considered as they likely do not represent stem cells. From each outlined nuclei, we collected the mean γH2Av intensity and the maximum RpA70-GFP intensity, corresponding to the brightest foci in each nucleus. The data were then normalized to the mean value obtained in the Control conditions for each experimental replicate. The pictures for which the identification of stem cell nuclei was difficult (too many nuclei fused in the maximum projection, or bad signal for DAPI or GFP) were discarded from the analysis.
RedFlipout clones γH2Av distance analysis
We used CellProfiler (83) for the analysis of γH2Av intensity in the FlipOut clones in the wing discs. The CellProfiler analysis allows the semi-automatic detection with manual validation and correction of disc area based on DAPI intensity, and clone area based on RFP expression. From this, we measured the mean intensity in clonal (RFP+ DAPI+) and wild-type non-clonal (RFP-DAPI+) area for each wing disc analyzed. For each wing disc, CellProfiler also determined the approximate cell localization and nuclear area for single cells in the clones based on DAPI staining. For each identified cell, we extracted the position, γH2Av mean intensity in the area outlined and the shortest distance to the border of the clone (i.e. wild-type non-clonal tissue). The γH2Av intensity was then normalized to the mean γH2Av intensity found in the wild-type non-clonal area of the same wing disc, used as a baseline. Altogether it enabled the analysis of the relationship between DNA damage (γH2Av intensity) and the distance to the clone border. For each disc, we also measured the maximum distance of the identified cell in the RFP+ clone to the non-clonal part of the disc, as a proxy for the size of the clone.
Engrailed γH2Av measurements
In the experiment with RnrL RNAi with the engrailed-Gal4 (en-Gal4) driver, both GFP and γH2Av intensity were measured along the antero-posterior line of the wing disc. The GFP intensity was used to determine the border of the engrailed domain for each measurement. For all the other experiments with en-Gal4 driver, the mean γH2Av intensity was measured in an area of the pouch region of the engrailed domain (containing most of it) and compared with a similar area on the opposite side of the same wing disc, giving a “γH2Av intensity ratio” for each wing disc.
TwinSpots
For the TwinSpot experiment, the wing discs were analyzed and imaged at the LSM780 Zeiss confocal microscope, images of all the discs with DNA damage were taken, and representative images of all phenotypes were also taken.
RnrL, Inx2, and Inx7 quantification in the gut
For the RnrL, Inx2 or Inx7 quantification in the midgut, the cell types were identified based on Su(H)GBE-LacZ expression, Prospero staining, and DAPI staining (nuclear size). EB have a small nucleus and are βGal+ with a strong Armadillo (Arm) membrane staining, EEs were Pros+, young EC had a big nucleus (polyploid) and were also βGal+, the older ECs had a big nucleus and low Arm staining. ISC were identified with strong Arm membrane staining, basal localization, and absence of βGal. If a few puncta of Inx2 or Inx7 were found at the membrane of the identified cells, these were considered with partial Inx2 or Inx7 localization at the membrane.
Adult wing mounting was performed as described in84
Data Processing and Statistics
Data Analysis was performed on Excel, Prism (version 9.0.1) or R (version 4.2.2) using the Rstudio interface (version 2022.07.02) and ggplot2 package (version 3.4.0). For all the figures with a boxplot, the center line is the median, box limits are upper and lower quartiles and whiskers extend to the observation points less than or more than 1.5x interquartile range. Initial training for the use of the ggplot2 package for data visualization was obtained by the U900 Bioinformatics unit of the Curie Institute. As indicated in the figures, the statistical significance was represented as follows: *: p < 0.05; **: p <0.01; ***: p<0.001; ****: p<0.0001.
Acknowledgments
We would like to thank the members of the Bardin team, P.-A. Defossez, Y. Bellaïche, P. Leopold, R. Basto, K. Siudeja, and C. Desplan for feedback on the manuscript. We thank G. Ammer, A. Arnaoutov, G. Tanentzapf, A. Lalouette, P. Spéder, J-R. Martin, P. Leopold, Y. Bellaïche, and M. Dasso for antibodies and Drosophila lines as well as the Bloomington and Vienna stock centers for fly lines and Flybase for invaluable information. We thank Prof. M. Hoch for his support of innexin research at the Limes institute. Microscopy training and access has been provided by The Cell and Tissue Imaging Facility/UMR3215 (PICT-IBiSA) of the Institut Curie, members of the French National Research Infrastructure France-BioImaging, ANR10-INBS-04.
Footnotes
↵4 Lead contact. Email: allison.bardin{at}curie.fr
We have added several, addition important experiments including a full characterization of location all of the fly Innexin proteins in the midgut and an assessment of EdU uptake into ISCs with expression dnk RNAi. In addition, we have extended our introduction and discussion.
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