Abstract
It is unknown how growth in one tissue impacts morphogenesis in a neighboring tissue. To address this, we used the Drosophila ovarian follicle, in which a cluster of 15 nurse cells and a posteriorly located oocyte are surrounded by a layer of epithelial cells. It is known that as the nurse cells grow, the overlying epithelial cells flatten in a wave that begins in the anterior. Here, we demonstrate that an anterior to posterior gradient of decreasing cytoplasmic pressure is present across the nurse cells and that this gradient acts through TGFβ to control both the triggering and the progression of the wave of epithelial cell flattening. Our data indicate that intrinsic nurse cell growth is important to control proper nurse cell pressure. Finally, we reveal that nurse cell pressure and subsequent TGFβ activity in the stretched cells combine to increase follicle elongation in the anterior, which is crucial for allowing nurse cell growth and pressure control. More generally, our results reveal that during development, inner cytoplasmic pressure in individual cells has an important role in shaping their neighbors.
A major feature of ovarian follicular development in Drosophila is the progressive flattening of anterior epithelial cells that surround the germline. A combination of mechanical measurements, live imaging, and genetic approaches reveals that germline cytoplasmic pressure is graded and controls this flattening; this germline pressure gradient, in concert with basement membrane stiffness, then guides follicle elongation.
Introduction
Epithelial cells collectively adopt specific shapes when building organs. Over the last four decades, it has been demonstrated that cell and organ morphogenesis depend on the integration of extrinsic and intrinsic biological cues (endocrine, paracrine, or autocrine signaling; cell-cell or cell-extracellular matrix adhesion; actin filament and microtubule organization, etc.). Internal forces generated by the activity of the actomyosin network have been shown to be crucial for cell shape, by acting on adherens junction (AJ) and/or on cell-extracellular matrix adhesive complexes [1,2,11–18,3–10]. Such studies shed light on the importance of considering the mechanical properties of cells, such as cortical tension, to understand morphogenesis [19–22]. However, cell shape not only is imposed by intrinsic forces but also depends on the local environment, which comprises other types of cells and extracellular matrix. The mechanical properties of these biological elements may also impact and deform epithelial cells. The implication in epithelial morphogenesis of such extrinsic forces is far less investigated and known, compared to intrinsic forces [23,24].
With its simple structure and its well-characterized pattern of development, the Drosophila ovarian follicle is a valuable model to study epithelial cell morphogenesis. A follicle consists of an inner cyst of 16 germinal cells (15 nurse cells [NCs] and one posteriorly localized oocyte) surrounded by a monolayered epithelium of about 800 cells, which are themselves covered by an outer basement membrane (BM) (Fig 1A). Follicle development has been divided in 14 stages (S), with S1 and S14 corresponding to a follicle emerging from the germarium and a mature egg, respectively [25,26]. The follicle is initially small and spherical with a 10-μm diameter. It progressively grows up and elongates before undergoing a major acceleration of growth and elongation at S9. In parallel, the oocyte is gradually enlarged compared to individual NC, owing to the presence of ring canals (RCs) between all the germline cells that serve to transfer NC cytoplasmic contents into the oocyte [27]. The epithelial cells accommodate the germline growth by first proliferating from S1 to S6 to reach about 850 cells and second by increasing in volume and changing in shape at S9 [25,26]. Starting from a cuboidal shape, about 50 cells, called the stretched cells (StCs), flatten above the NCs whereas the others, called the main body follicular cells (MBFCs), become columnar above the oocyte. StC flattening occurs progressively from the anterior to the middle of the follicle and can be monitored by following the increase of the apical surface (Fig 1B). This morphogenetic process depends on the activation of specific genes in the StC, such as those involved in the TGFβ pathway and the tao gene, which control the sterotyped disassembly of the subapical AJs (Fig 1B’) and the lateral adhesion complexes, respectively [28–30]. Cell flattening also comes with changes in BM mechanical properties and interactions, which are both controlled by the TGFβ pathway [31]. Finally, Kolahi and colleagues showed that StC flattening depends on the growth of the germline cells that controls the degree of flattening [32]. How this external force influences StC flattening has never been investigated.
In this study, we establish that a gradient of mechanical properties exists in the NC compartment along the antero-posterior (A/P) axis and that this gradient is responsible for the progressive change of shape of the StC. We show that the differences in NC mechanical properties correspond to differences in cytoplasmic pressure, which is the force that counters cortical tension. We present evidence that pressure level is modulated by intrinsic NC growth and controls TGFβ expression dynamics. We reveal that NC pressure leads to inhomogeneous follicle expansion, with a bias toward the anterior and that this expansion requires StC flattening and BM softening. We show that anterior expansion is crucial for the maintenance of NC integrity while their inner pressure builds up. Whereas virtually no study has paid attention to cytoplasmic pressure as a physical component of the cell, our data bring to light its role in imposing shape in epithelial cells and tissues.
Results
The wave of StC flattening does not depend solely on TGFβ activity
StC flattening occurs progressively from anterior to posterior and depends on TGFβ signaling [29]. To determine whether the wave of flattening depends on a wave of TGFβ activity, we quantified the expression of the phosphorylated form of Mad (pMad) from S8 to S10. pMad is mainly detected in epithelial cells above the anterior and central NC with the highest levels in the anterior cells. Only a weak expression is detected in the epithelial cells surrounding the posterior NC. As StC flattening progresses posteriorly, pMad level increases in all the epithelial cells that surround NC, with a maximum detected in those above the central part. These data confirm that TGFβ activity levels vary in the cells covering the NC and that these variations follow the progression of StC flattening (Fig 1C–1E) [33]. To determine the importance of the spatiotemporal pattern of TGFβ for the progressive change of shape, we measured StC apical surface area when expressing a constitutively active form of the TGFβ receptor Thick veins (Tkv), which we refer to as TkvA. Our data show that the TkvA-expressing StC still flatten like a wave from anterior to posterior, demonstrating that cell flattening remains progressive in the absence of graded TGFβ activity (Fig 1F and 1G). We conclude that another variable, independent from the TGFβ pathway, must therefore control the wave of flattening.
An A/P gradient of mechanical properties is present in the NC compartment
We previously observed that a collagenase treatment on follicles leads to the bulging of the NC toward the outside, when the constraint imposed by the BM is removed (Fig 1H) [31]. This also shows that StC are insufficient to constrain NC under collagenase treatment. Furthermore, this experimental condition facilitates the assessment of NC mechanical properties. Cell mechanical properties are made up of mainly two components: cortical tension, controlled by the cortical actomyosin network and by cell-cell adhesion, and the opposed cytoplasmic pressure, which may vary with solute and water fluxes, with differences in volume or growth rate, and with organization of cytoplasmic structural elements, such as microtubules and noncortical actin microfilaments (Fig 1J). We reasoned that the extent of curvature of the outward-facing NC membrane (the radius of the circle fitting this membrane) may reflect NC mechanics. Indeed, the radius of curvature (R) of a spherical interface is proportional to the ratio of its tension (γ) and inversely proportional to the difference in pressure (ΔP) between the two sides of the interface: R = 2γ/ΔP, which generalizes to nonspherical interfaces by replacing 2/R by the mean curvature of the interface [34,35]. Because of limited resolution along the optical axis of the microscope, we approximated NC mean curvature by 2/R, R being a radius measured in 2D optical sections along the A/P axis. We found a gradient of curvature with smaller radii at the anterior in late S9 (LS9) and S10 follicles (Fig 1H and 1I), indicating that NC mechanical properties vary along the A/P axis, with tension increasing and/or pressure decreasing from anterior to posterior.
The A/P gradient of NC mechanical properties is consistent with differences in cortical tension at LS9
To test whether the observed variations in NC curvature from anterior to posterior could be due to increasing NC surface tension, we considered surface tension of the NC during StC flattening in follicles with intact BM. The tension (γ) of a cell-cell interface is increased by contractility of the actomyosin cortex (γam) and reduced by cell-cell adhesion (γad) and can be stated as γ = γam − γad [36–38]. Accordingly, we analyzed cortical actomyosin dynamics through the expression and activity of the regulatory chain of the nonmuscular Myosin II (encoded by spaghetti squash [sqh]) and cell-cell adhesion through the expression of Ecadherin (Ecad), in live and fixed follicles from S8 to S10 (Figs 2A and S1A–S1C). Ecad and Sqh (both the nonphosphorylated and the phosphorylated [pSqh] forms) are strongly detected at the cortex of the oocyte from S8 to S10. Ecad expression is weak in the NC at S8 and increases during S9. Sqh expression is undetectable at S8 but starts to be visible at S9. In S9 follicles, pSqh is also detected at a low level at the NC cortex. To quantify and compare Ecad, Sqh and pSqh expressions along the A/P axis, expression levels at the NC membranes along the A/P axis were normalized for each follicle with that of the oocyte cortex. The anterior NC usually express a higher Ecad level than the central NC from mid S9 (MS9) to S10, indicating higher adhesion in the anterior, negatively influencing tension there. Sqh levels remain constant at all NC interfaces, regardless of position, throughout these stages, though the active form of Sqh does show an inverse gradient of expression with higher levels in central and posterior cells compared to anterior cells at the end of S9, indicating lower contractility at the anterior at this stage. Altogether, these observations suggest that a postero-anterior gradient of cortical tension is present from MS9 to LS9.
The A/P gradient of NC mechanical properties corresponds to differences in cytoplasmic pressure
To test whether the observed variations in NC curvature from anterior to posterior could be due to decreasing NC cytoplasmic pressure, we used an atomic force microscope (AFM), a standard approach to noninvasively measure the stiffness of biological samples [39–45]. The apparent stiffness quantifies how easily a body is deformed when a force is applied to it; a high value corresponds to a stiff material. We designed a bespoke AFM-based protocol with deep sample indentation so as to probe NC internal pressure below the BM and the flattened StC (see Materials and methods, S1D–S1F Fig). From the force curves, we first quantified the apparent stiffness along the follicle (S1G Fig). In parallel, we also quantified the curvature of the follicle surface at the measurement points. With the values of indentation depth used, we extracted pressure using stiffness and curvature values (S1H Fig) (see Materials and methods), as previously described [45]. We observed that inner pressure of anterior NC increases by a factor of 3 during StC flattening and that an A/P gradient of pressure is present, with the highest pressure being in the most anterior probed area (Figs 2B and 2C and S2A). Although NC pressure displays a broad range of values, between 100 and 450 Pa, we observe that it varies by a factor of 1.2- to 1.5-fold between different regions of a single follicle (S2A Fig), whereas variations within each probed region were negligible (S2B and S2C Fig). We note that the values of pressure measured are comparable to those obtained in mitotic cells [46], chick embryo blastula [47], and mouse blastocyst lumen [48].
Although we chose an indentation depth that is more sensitive to NC cytoplasmic pressure, it is possible that these measurements are also sensitive to NC cortical tension. In order to assess this, we performed measurements before and after the addition of Latrunculin B, which disrupts actin cytoskeleton, or of the pharmacological ROCK inhibitor (Y-27632), which has been shown to inhibit Myosin activity [49,50]. We observed that a mild decrease in pressure is observed after incubation in Latrunculin B (S2D Fig) and that blocking Myosin II decreases pressure by a factor of 1.6 for both anterior and posterior NC (Fig 2D). Consequently, the ratio in stiffness between anterior and posterior NC is preserved after ROCK inhibitor treatment, demonstrating that these differences are mostly due to cytoplasmic pressure and not to cortical tension. In addition, we performed different osmotic treatments and always observed a sharp decrease in stiffness values, demonstrating that AFM measurements are responsive to osmotic changes (S2E–S2G Fig).
Finally, it is known that follicles are surrounded by a stiff BM [31,51]. To determine the importance of the BM in NC pressure, we also performed AFM measurements on collagenase-treated follicles. In such follicles, the A/P pressure gradient is still detected, although the absolute values of pressure are lower than in untreated follicles, possibly because of NC expansion (S2H Fig). Overall, the data are in favor of the presence of a cytoplasmic pressure gradient within the NC compartment at LS9 and at S10.
Since curvature of a soft interface is physically ascribed to differences in hydrodynamic pressure between the two sides of this interface [34,35], we predicted from the gradient in pressure that the interfaces between NC should be curved toward the posterior in normal conditions. To assess this, we examined NC membrane shape and quantified the curvatures of NC membranes in fixed tissues throughout S9 (Figs 2E, 2F, S3A and S3B). This analysis shows that NC membranes bulge toward the posterior at the same time as StC are flattening and that a gradient of curvature is observed from anterior to posterior NC (those abutting the oocyte), with the anterior NC being the most curved. We also analyzed membrane curvature in follicles treated with the ROCK inhibitor and found that most of the membranes still bulge toward the posterior. This does not support a role for cortical tension in generating this gradient of curvature (S3C and S3D Fig). Finally, to obtain more precise data on membrane curvature, we generated 3D reconstructions of live follicles (S1 Movie). To this end, we used the MARS pipeline (Multi-Angle image acquisition, three-dimensional Reconstruction and cell Segmentation) [52] (S3E–S3H Fig) and additionally developed an ImageJ macro to automatically measure membrane curvature in individual NC (see Materials and methods, S4A Fig). We observed that posterior NC membranes become progressively convex during S8 and S9, with no significant influence of the position of the membrane along the A/P axis (Figs 2G, 2H, S4B, S4C and S4E). This correlates with anterior NC membranes becoming concave (S4F Fig). At S9, 72% of posterior-facing membranes are convex compared to 3% of anterior-facing membranes, whereas no specific orientation is ever observed for the lateral membranes (S4G Fig), consistent with the 2D measurements. Finally, we also noticed that the anterior membranes of the oocyte first bulge into the posterior NC (convex) up to S7 before switching to being concave during S8 (S4D–S4H Fig, S2 Movie), indicating a higher pressure in the oocyte than in neighboring NC until S7 and a lower pressure in the oocyte from S8 onward. Note that the percentages of convex posterior NC membranes remain similar when RNAi against sqh is driven in the germline (S4I Fig). Altogether, our data demonstrate that NC mechanical properties are graded along the A/P axis at S8 and S9 because of pressure decreasing from anterior to posterior, preceding a possible increase in tension at LS9.
The gradient of cytoplasmic pressure controls the wave of StC flattening
These data led us to hypothesize that the gradient of NC pressure could be responsible for the wave of the StC flattening. To test this, we used the dicephalic (dic) and kelch (kel) mutants, which have both been described as specifically affecting germline development [53,54]. dic mutation leads to reduced germline growth [32], and kel mutations are known to prevent normal cytoplasmic transfer between the NC and the oocyte due to the presence of small RCs [27,54]. In kel mutants, the inner diameter of the RCs fails to expand, leading to reduced lumen [55]. Based on these phenotypic descriptions, we expected that dic mutation would lead to a decrease of pressure whereas kel mutations would yield an increase in pressure. To prove this, we first analyzed NC membrane curvatures and observed that only half of the membranes bulge towards the posterior in dic follicles, whereas they are all convex in kel follicles (Figs 3A–3C and S6A; for staging of dic and kel follicles, see Materials and methods and S5 Fig). We obtained similar results for Pendulin follicles. Mutations in Pendulin, which encodes a member of the Importin-alpha protein family, display small RCs [56]. These observations imply that there is no gradient of NC cytoplasmic pressure in dic and that the gradient is more pronounced in kel and pendulin than in wild-type (WT) follicles. In the presence of the ROCK inhibitor, membranes in dic follicles still present convex and concave curvatures whereas in kel, most of the membranes remain convex. In parallel, no significant difference in Ecad or Sqh expression level along the A/P axis has been found between these mutants compared to WT (S6B–S6D Fig), confirming that cytoplasmic pressure, and not cortical tension, is mainly responsible for NC shape in these two mutants (S6A Fig). Second, AFM measurements show that the pressure is much lower in dic than in WT in S10 follicles whereas it is higher than WT in kel follicles. In dic follicles, the pressure gradient is no longer present (Fig 3D and 3F). In kel follicles, a difference between anterior and more posteriorly localized NC is still detected, but the values are more variable, as compared to WT (Fig 3E and 3F). These two mutants thus provide valuable mechanical conditions to determine the role of pressure and of the pressure gradient in StC flattening.
We first noticed that the average follicle length with early signs of StC flattening is higher in dic follicles and lower in kel, compared to WT (Figs 3J and S5). For dic follicles, the gradient of flattening is strongly reduced and starts from row 2 (Figs 3G, 3H, 3K and S6E–S6H). In contrast, the flattening remains gradual in kel follicles, although it is less pronounced in the central area (Figs 3I–3K and S6E–S6H). In agreement with StC flattening starting prematurely in kel follicles, we observed that inner pressure in the anterior NC is higher in MS9 kel follicles than in WT (Fig 3L). Together, these data demonstrate that the gradient of pressure controls the wave of StC flattening and that pressure levels dictate the timing of the flattening. It also confirms that NC growth impacts the degree of StC flattening as previously mentioned [32].
Inner pressure influences the temporal and spatial pattern of TGFβ signaling
We have previously shown that StC flattening depends on TGFβ activity and that premature activation of the TGFβ pathway is sufficient to induce early StC flattening [29]. The data presented above now demonstrate that StC flattening also depends on NC pressure and that contexts with increased pressure, such as in kel or Pen follicles, trigger flattening prematurely. To examine whether these findings are connected, such that the TGFβ pathway in fact responds to NC pressure, we next monitored and quantified the levels of pMad, a marker of TGFβ activity, in WT and kel follicles. When follicle size is used as a benchmark to compare WT and mutant follicles, pMad is present as early as S6–7 in kel follicles, whereas it is only detected from S8 onward in WT follicles (Fig 4A and 4B). Additionally, pMad levels were usually 2-fold higher in kel follicles than in the WT (Fig 4C–4H and 4M). In both WT and kel follicles, the anterior and central areas display higher expression than the posterior area. These data show that high NC pressure is sufficient to induce TGFβ signaling prematurely. In contrast, pMad is detected later in dic follicles, which display lower NC pressure than in WT follicles (Fig 4I and 4J). Once expression commences in dic mutants, pMad expression levels attain similar levels to the WT but is more uniform (Fig 4K, 4L and 4N). These observations show that pressure levels in the NC are important for the correct temporal and spatial pattern of TGFβ activity.
High NC cytoplasmic pressure and TGFβ signaling lead to enhanced anterior follicle expansion
Our data show that anterior NCs are more pressurized than posterior NCs and the oocyte when follicles elongate. We reasoned that this might force the growing follicle to expand more anteriorly than posteriorly. To test this, we first used fluorescent beads that adhere to the BM and analyzed their movement during follicle growth (S7A and S7B Fig). From S8 to S10, we observed that beads at the anterior display a greater shift toward the anterior than posterior beads do toward the posterior (n = 12) (Figs 5A, 5B, S7C and S7D). Second, we used the vkg::GFP line, which expresses one chain of the Collagen IV fused to green fluorescent protein (GFP), resulting in a fluorescent BM. We locally bleached the GFP contained in the BM in order to generate landmark points (n = 5) (Fig 5C) and measured elongation of the anterior and posterior BM segments after 2 h. On average, during WT S9, the anterior regions elongate 1.7-fold more than the posterior (Fig 5D), whereas at S7 or S8, no significant difference is detected. In S9 dic follicles, where pressure is decreased, the difference between anterior and posterior growth is reduced (n = 6) (Fig 5D and S7E Fig). In parallel, we measured absolute follicle elongation and observed that dic follicles do not elongate as much as WT follicles, whereas kel follicles, where pressure is increased, are more elongated than WT (Figs 5E and S7F–S7H). This suggests that NC pressure biases follicle growth towards the anterior during S9.
We then tested whether this anterior follicle expansion requires StC flattening and BM softening by analyzing follicle elongation when follicular cells constitutively express Dad, which represses TGFβ activity and thus impairs StC flattening and BM softening [29,31]. Our data show that Dad-expressing follicles indeed expand less anteriorly and give rounder follicles and eggs than WT (Figs 5D–5G and S7I–S7J). These data show that anterior follicle and egg elongation requires TGFβ activity in the StC. One explanation for the lack of elongation in Dad-expressing follicles could be from the maintenance of a rigid BM in the anterior, mechanically preventing elongation. If this were true, one would expect that NC inner pressure to be high in Dad-expressing follicles. This is confirmed by AFM measurements that exhibit an increase of pressure by a factor of 1.4 between anterior NC from MS9 WT and Dad-expressing follicles (S7K Fig). Remarkably, we observed that Dad-expressing follicles display NC membrane breakage between the anterior NC at S10, suggesting that NC membranes collapse when pressure increases and anterior expansion is impaired (Fig 5H). From this, we propose that BM softening and StC flattening are important to maintain NC integrity, likely by promoting anterior expansion and maintaining NC pressure under a certain threshold.
The establishment of the gradient of cytoplasmic pressure depends on intrinsic NC growth
As mentioned above, inner pressure varies as a function of differences in volume/growth rate. To precisely test the role of NC volume, we extracted 3D cell resolution data for each NC from S4 to S10 by using the MARS method (Fig 6A–6F) [52]. Our data show that up to S8, volumes are rather similar between anterior and central NC and that the oocyte is much smaller than any NC (Figs 6G and S8A–S8B). From S8 onward, the volumes of germline cells increase dramatically, especially of the four posterior NC and the oocyte. From S8 to S10, the ratio of the volumes of posterior and anterior NC is 2.4 ± 0.4 (mean ± SD) whereas the ratio of anterior and central NC volumes is only 1.1 ± 0.3. Our data show a gradient of volume between NC is present at these stages, with the anterior NC being the smallest. No significant differences are observed between the central cells. The gradient flattens at S10, except for the four posterior NC. These data demonstrate that NC volume is regulated along the A/P axis during S9.
NC volume depends on the individual cytoplasmic content (the intrinsic growth) but also may depend on the transfer of cytoplasmic content from another NC through RCs (Fig 6H). The four synchronous divisions that form the 16-germline cell cyst yield eight cells with a single RC, four cells with two RCs each, two cells with three RCs each, or two cells with four RC, with one of the latter being the oocyte (Fig 6I). To determine the importance of intrinsic NC contribution in building up pressure, we measured pressure in two NCs with zero entrance RCs (ERCs) localized either in the anterior or in contact with the oocyte. The anterior NC always displays a pressure superior to the posterior NC (S8D Fig), indicating that intrinsic NC growth is an important variable in controlling the NC volume and, therefore, pressure.
The gradient of cytoplasmic pressure is modulated by RCs
According to Poiseuille’s law describing flow of a viscous fluid through a tube, cytoplasmic flux through an RC is proportional to the difference in pressure between neighboring NC and increases rapidly with the diameter of the RC. Our analyses of NC pressure in kel follicles, which have previously been shown to bear smaller RC [54], demonstrate that RC size plays a role in building NC pressure. Although it is known that RC undergo an approximately 7-fold increase in diameter throughout follicle development [27], it is unclear if any differences exist along the A/P axis. We have now carried out such measurements in the WT and confirmed that between S8 and S10, RCs do indeed undergo progressive growth. In addition, we observed a gradient of size along the A/P axis, with the smallest RC in the anterior (Fig 6J and S8C Fig). Thus, RC size may participate in establishing the pressure gradient, since narrower RCs connect anterior NCs, and wider RCs connect posterior NCs to the oocyte, which might help in building up pressure in the former and in preventing excessive buildup in the latter.
We then tested whether the number of ERCs per NC could also be related to different inner pressures. The oocyte has four ERCs, each connected to a different posterior NC. Because of the pattern of cyst formation, the four posterior NCs have either zero, one, two, or three ERCs [25]. Given what we have shown about cytoplasmic fluxes in the WT follicle, we hypothesized that the posterior NC with three ERCs would have a higher cytoplasmic pressure than the one with no ERC. In 65% of cases, the highest pressure was measured in the cell that has the highest number of ERCs (Fig 6K and S8E Fig), indicating that pressure at the same position along the A/P axis may vary as a function of the number of ERC. Importantly, the pressure in NCs with three ERCs is always lower than in more anteriorly localized cells, which in most cases bear zero ERCs. The number of ERCs is thus not responsible for establishing the gradient but likely only explains variations in gradient intensity.
Discussion
Mechanical properties of biological elements are key components of organ morphogenesis, acting either directly by generating internal forces or indirectly by applying forces and constraints on cells. Cell mechanical properties are usually considered to be determined by cortical tension. However, another contributor is cytoplasmic pressure, which serves to counteract cortical tension. Here, we show that cytoplasmic pressure is graded within a well-defined group of NCs and that this pressure controls TGFβ expression in the surrounding epithelial cells. As TGFβ itself induces their shape changes and BM softening, we propose that in fine, both NC cytoplasmic pressure and BM softening promote enhanced anterior follicle elongation (Fig 7).
The most direct method to measure pressure is through the use of a pressure probe, but a major drawback is that it does not allow multiple measurements within a single sample. Another possibility is to deduce pressure by measuring cytoplasmic flow between NC, either by observing the movement of cytoplasmic vesicles through RCs or by photoactivating fluorescent molecules in one cell and observing their appearance in a neighboring cell. However, we were unable to efficiently detect vesicle movement through multiple RCs along the A/P axis and phototoxicity decreased the feasibility of performing multiple measurements within a single follicle. Therefore, we chose to measure pressure using a combination of noninvasive tools that do not compromise tissue integrity while simultaneously allowing us to test whether our measurements were dependent on cortical tension.
Our first approach, AFM, makes it possible to probe deep into tissues in their native environment. Probing NC requires deforming BM, StC, NC membranes, and NC cortical actomyosin networks. Local cell integrity is preserved during experimentation, since no variation in pressure was observed over 100 measurements on a given cell. We show that our method is mostly sensitive to pressure by using different chemical treatments (NaCl treatment, collagenase) and genetic backgrounds (dic, kel, and Pendulin). NC pressure values are in the range observed for other animal tissues, such as chick embryo blastula (10–200 Pa; [47]) or mouse lumen blastocyst (around 300 Pa; [48]), or for cultured cells [46]. In all three studies, pressure was similarly determined via noninvasive approaches, such as AFM or micropipette aspiration. Our second approach was to generate 3D reconstructions of the germline in order to infer differential inner pressure between the NC by measuring the curvature of their membranes [34], which allowed us to confirm the AFM measurements at late S9 and S10 and to establish that the gradient is already present at S8.
Sqh activity pattern suggests the existence of a postero-anterior gradient of cortical tension only at the end of S9, which is too late to influence StC flattening. Though gradients in both pressure and curvature persist in the absence of Myosin activity, treatment with the ROCK inhibitor results in a decrease in pressure values, indicating that actomyosin activity participates in NC mechanical properties. This could be due to the contribution of either the cortical or noncortical network or both. It is not possible to evaluate the importance of cortical actomyosin activity between NC by laser ablation, since multiple ablations cannot be carried out in a single follicle. Overall, we conclude that NC mechanical properties are graded from S8 to S10 by cytoplasmic pressure with a possible late contribution of cortical tension.
Although not all the components involved in establishing the pressure gradient are known, our data clearly show the implication of intrinsic NC growth, thus supporting the concept of proliferative pressure proposed as early as 1874 [57], and of the size and pattern of the RCs. By precisely measuring NC volume, we show that individual NC growth is not regulated as a function of pressure. It is known that DNA content of the NC is inhomogeneous at S9 and S10, with more DNA in posterior NC than anterior NC [26,58]. Whether this difference in DNA content could participate in the establishment of the inner pressure gradient remains to be tested. Difference in the spatial distribution of amiloride-sensitive Na+,H+ exchangers and Na+ channels are also likely to play a role in controlling NC volume. In 2015, Kruger and Bohrmann described that the amiloride-sensitive Na+ transporters are distributed in an A/P gradient within the NC group, with more transporters in anterior NC compared to posterior [59]. Although drastic modifications of such channel activities might be deleterious for follicle integrity, analyzing NC volume differences in conditions mildly affecting their activity could be informative.
Our observation of a pressure gradient raises the question of how it can be maintained without certain NCs growing at the expense of others or emptying their contents through RC. A similar question was recently investigated theoretically and experimentally in plant tissues [60,61]: plasmodesmata and the cell wall play the same role as RC and the actomyosin cortex, respectively. Extrapolating from those studies, it would be expected that NCs maintain their relative volumes whenever actomyosin cortex viscosity and RC hydraulic conductivity are low enough, so that the movement of water and cytoplasm is partially limiting changes in cell volumes.
Our data also suggest that RCs play dual and opposing functions in different NCs: the large exit RC between the posterior NC and the oocyte may help prevent high pressure from building in the posterior, whereas the small RC in the anterior NC may help increase pressure there. The number of ERCs also plays a role in building pressure in certain posteriorly localized NCs, as NCs with such RCs are mainly in the central and posterior areas [62].
StC flattening depends on both TGFβ activity and germline growth [32,63]. TGFβ activity is required in the StC to set up the actomyosin pattern that leads to AJ remodeling. Mad or tkv somatic clones lead to the presence of small and insufficiently flattened StC [63], indicating that NC pressure is not sufficient to induce cell shape changes in the absence of TGFβ activity in the StC. By analyzing dic and kel follicles, we now demonstrate that NC inner pressure controls the triggering as well as the progression of StC flattening by acting on TGFβ signaling. Kolahi and colleagues had previously shown that the degree of StC size depends on NC growth [32]. Nevertheless, a strict correlation between NC pressure and pMad levels during follicle growth cannot be drawn, possibly because once the TGFβ pathway is activated by NC pressure, a negative feedback on the pathway—for instance, through Dad activity—may kick in and lead to reduced expression of pMad, despite the continued presence of high NC pressure. It has been shown that Yorkie (Yki), a transcriptional coactivator, is present in the StC [64]. Yki is known to stimulate cell growth with DNA-binding partner proteins, including Mad [65], and to be regulated by cortical tension [66]. Future experiments will determine whether or not the molecular links between NC pressure and StC flattening requires TGFβ and Yki.
Several studies have shown the importance of BM structure and stiffness in the elongation of the follicle and the egg [49,67,76–79,68–75]. Two nonexclusive models have been proposed: first, that a softer BM at both poles of the follicle would favor expansion along the A/P axis [51] and, second, that the structure of the BM, with stiff fibril-like structures oriented perpendicular to the A/P axis, would prevent radial expansion [31]. The discovery of a pressure gradient within the NC reveals a third mechanism that acts from S8 to S10 (Fig 7). At S8, pressure increases in the anterior NC and induces TGFβ in the StC, which in turn leads to flattening and to the local softening of the BM. On the one hand, StC flattening likely facilitates NC growth, which is required to build up the pressure, by allowing a rapid transfer of oxygen and nutrients from the hemolymph. On the other hand, the softening of the BM above the StC likely helps the increase of NC volume and the maintenance of inner pressure under a certain threshold. Together, these interconnected genetic and mechanical regulations may allow the coordination in growth and shape of two adjacent populations (StC and NC) to shape yet another entity, the oocyte.
Our work highlights the role of fluid pressure in development, which has begun to be increasingly recognized [80]. Our results show that the ovarian follicle can be considered as a pressurized shell, with the BM under pressure from NC and oocyte. This echoes experimental findings that adult C. elegans [81] and regenerating hydra [82] may be modeled as shells under pressure. We find that follicle growth is driven by cell pressure, similarly to regenerating hydra [82], and to elongation and inflation of the notochord in the Xenopus embryo [83,84]. It is worth noting, however, that cell-cell pressure differentials have been entirely overlooked so far. Our data show that an A/P gradient in cytoplasmic pressure is important for follicle morphogenesis. One area that has been more explored is that of pressure caused by fluid accumulating within a lumen, such as in tubulogenesis during lung and kidney development [80]. Two recent studies reported the key role of lumen pressure in the mouse blastocyst in determining embryo size and cell fate, as well as in establishing the first axis of symmetry [48,85]. More broadly, the implication of osmotic pressure in growth or morphogenesis is also well documented in walled cells such as in plants, fungi, or bacteria [45,86]. Importantly, some of these models also point out the importance of the balance between fluid pressure and extracellular constraints in sculpting organs, a balance that we also evidence in an animal system.
In summary, our work highlights the importance of the mechanical properties of cells or tissues neighboring a tissue undergoing a morphogenetic event and reveals the mechanical role of cytoplasmic pressure in shaping cells and organs.
Materials and methods
Fly stocks and clones generations
Canton S was used as WT; the other fly stocks are: hts::GFP [87], Ecad::GFP [88], PHPLCγ::GFP [89], sqh::mCherry [9], P(UAS-tkvQ199D) (referred to as TkvA), P(UAS-Dad.T) [90], traffic jam-Gal4 flies [91], dic1 [53], kelchED1 [54], PenD14 [56], sqhHMS00437, sqhHMS00830 [92], w*; P{matα4-GAL-VP16}V37 (that we refer to as matα4-G4) [93], P{nos-GAL4.U} that we refer as nos-G4 [94], P{w[+mC] = otu-GAL4::VP16.R}1, w[*]; P{w[+mC] = GAL4-nos.NGT}40;P{w[+mC] = GAL4::VP16-nos.UTR}CG6325[MVD1] that we refer as MTD-G4 [95], and vkgG454 (allele containing a GFP protein trap in the Col IV a2 chain Viking that we refer as Coll IV::GFP in the text [96]).
Fly stocks were cultured at 25°C on standard food. Ectopic expression of TkvA or Dad were performed by generating Flip-out Gal4 clones in animals carrying the hs-FLP22 and the AyGAL4 UAS-GFP transgenes [97] or by crossing with tj-Gal4 flies. Flippase expression was induced by heat-shocking 3-d-old females at 37.3°C for 1 h to generate Flip-out clones. Adult females were fed on abundant yeast diet for 2–3 d prior to dissection.
Follicle staining and staging
Ovaries from females were dissected directly into fixative 3–4 d after Flippase induction and stained following the protocol described in [28]. To avoid fluctuations of the depth of the follicles that are squeezed by the coverslip, each slide contains 15 ovaries, from which S11–S14 are removed. After dissection of the follicles, most of the PBS is removed and 20 μl of the imaging medium (PBS/Glycerol [25/75] [v/v]) is added before being covered by a 22/32-mm coverslip. The following antibodies were used: goat anti-GFP (1:1,000; Abcam), rat anti-Ecad (1:200; Developmental Studies Hybridoma Bank), rabbit anti-pMad (1:200; Nakao and colleagues, 1997), mouse anti-Phospho-Sqh (1:1,000; Cell Signaling).
WT follicles were staged as a function of their full length (Lf), the oocyte length (Lo), and the timing of the different morphogenetic processes, including border cell migration and StC flattening, that occur at S9 [25,26]. Usually, early S9 (ES9) follicles have an Lf of 205 ± 15 μm with row1 StC of about 100 μm2 of apical area; MS9 follicles of 240 ± 20 μm with row1 StC of about 200 μm2; and LS9 follicles of 270 ± 20 μm with row1 StC of about 350 μm2. To stage dic and kel follicles, we first sorted them into ES9, MS9, or LS9 based on the progression of StC flattening. For dic, the start of ES9, MS9, and LS9 were ascribed based on the presence of StC with mild (about 50 μm2), medium (about 150 μm2), and severe (>250 μm2) flattening, respectively. For kel, the start of ES9, MS9, and LS9 where ascribed when row 1 StC showed mild (about 100 μm2), medium (about 200 μm2), and severe (above 350 μm2) flattening, respectively. We next plotted follicle length for each of the three groups to define the relationship between these two variables (S5 Fig) and used both to stage the follicles. Accordingly, follicles with highly abnormal values of length in regards to StC flattening were excluded from our studies.
Fluorescent quantifications
Mutant and viking::GFP/CyO (which served as a control) flies were mixed before dissection. Both WT and mutant ovaries are thus fixed, stained, and mounted together. Mutant and control follicles were discriminated thanks to the specific GFP accumulation in the BM in vkg::GFP follicles.
For pMad quantification, a projection of all of the z sections in which StC nuclei are visible is made and background was subtracted. Nuclei were individually selected and registered as regions of interest (ROIs). For each ROI, the ''area” and the “integrated density'' were quantified. Measurements were also performed in three areas located close to nuclei to estimate background and a mean of fluorescent background is calculated. The corrected total nuclei fluorescence (CTNF) for each nuclei is given by using the formula: CTNF = integrated density − (area of selected nuclei × mean of background fluorescence).
For Ecad, Sqh, and pSqh quantifications, measurements were performed on the focal plane where the border cells are visible. ROIs of 2 μm2 were positioned on plasma membrane based on the Ecad staining. The ROI measurement tool was then used to calculate the mean gray values for each area and the ratio was calculated.
AFM
AFM indentation experiments were carried out with a Catalyst Bioscope (Bruker Nano Surface, Santa Barbara, CA) that was mounted on an optical macroscope (MacroFluo, Leica) using an objective (10× objective, Mitutuyo). A Nanoscope V controller and Nanoscope software versions 8.15 and 9.2 were utilized. All quantitative measurements were performed using nitride cantilevers with silicon pyramidal tips (SCANASYST-FLUID, Bruker AFM probes) with a nominal spring constant of 0.7 N/m and a nominal tip radius of 40 nm. The actual spring constant of cantilevers was measured using the thermal tuning method [98,99] and ranged from 0.6 to 0.9 N/m, which was sufficient to indent the sample without damaging it. The deflection sensitivity of cantilevers was calibrated against a clean silicon wafer. Fresh dissected follicles were fixed on a petri dish coated with poly-L-lysine (0.5 mg/ml) and were covered by living medium. Follicles are kept for an hour maximum before being discarded. All experiments were made at room temperature and the standard cantilever holder for operation in liquid was used. The petri dish was positioned on an XY motorized stage and held by a magnetic clamp. Then, the AFM head was mounted on the stage and an approximated positioning with respect to the cantilever was done using the optical macroscope.
To record force curves, the Ramp module of the Contact mode in fluid was used. With this module, individual force curves are acquired at discrete points chosen using the optical image of the follicle. Each AFM measurement consists of the acquisition of 100 force curves extracted as 10 × 10 matrices with indentation points spaced 100 nm apart.
The pressure was deduced from local follicle stiffness and geometry [45,100]. The local stiffness, k, is derived from the force–indentation curves by fitting to a linear model, using depths between 1 and 2 μm in order to probe the pressure of the NC while minimizing the influence of the BM and of the StCs; the stiffness was obtained in piconewtons per meter (pN/m). The geometry at the indented location was characterized by the radii of curvature R1 and R2. Considering the follicle to be approximately a surface of revolution, R1 is the local radius of curvature of the follicle outline and R2 is the distance along the normal to the outline of the indented point to the axis of revolution. Radii were measured (in μm) from the optical images (from the macroscope) using ImageJ.
The pressure was then computed using the following equation [100]:
with values in Pascals (Pa). The measurements referred to as “anterior” were not necessarily performed on the most anterior cell of the follicle, as the curvature of the follicle can sometimes prevent access to this cell. This difficulty occurs when probing certain LS9 (depending on the angle they form with the petri dish, with the anterior extremity tilted up or down), and most of the S10 follicles. In such cases, the probe is usually able to reach an area located about 30 μm from the most anterior point.
To reduce variability, each experimenter performed WT and mutant measurements and comparisons were made between sets obtained by the same experimenter.
Bespoke protocol to probe internal NC pressure
Living follicles were dissected as previously described [31] and cultured in poly-L-lysine–coated petri dishes (S1D Fig). Measuring the apparent stiffness of NC requires deforming both the BM and the follicular cells. We and others have previously established that the BM is on average 0.2 μm thick, whereas follicular cell height varies from about 5 μm before S9 to less than 1 μm after flattening [31,32]. Since AFM measurements typically allow a maximum of 3–4 μm indentation, we could not probe NC prior to S9 (S1E Fig). During S9, we probed one, two, or three areas, located above the anterior, central, or posterior regions of the NC, respectively, depending on the position of the wave of flattening (S1F Fig). No measurements were performed when StC height was superior to 1 μm. To be mostly sensitive to NC pressure, the stiffness of the cantilever and the force applied were chosen to enable indentation depths of 1.5–2.5 μm, which is more than the thickness of the BM and of the flattened StC combined. To perform the measurements, we used the Contact mode of the AFM and registered 100 raw force curves from a 10 × 10 matrix, with indentation points spaced 100 nm apart.
Justification of pressure deduction from AFM
In order to interpret AFM stiffness, we first sought the mechanical model that would best represent follicles. NCs bulge out following collagenase treatment, showing that the BM significantly contributes to constraining NC shape. Accordingly, we used a comprehensively investigated model [100] and considered the follicle as a thin shell, corresponding to the BM, under (possibly nonuniform) pressure due to NCs. We used indentation depths (1.5–2.5 μm) much greater than BM thickness (0.2 μm); in this regime, Ref. [92] established that stiffness is only related to pressure and to local curvatures of the surface, as given in the equation above, accounting for the local ellipsoidal shape of the follicle. We next wondered how local the deduction of pressure was and which cells we were probing. To address this, we first used depths greater than StC height. Second, the scale of measurement is given by (d Rm)1/2 [100], where d ~ 2 μm is the typical indentation depth and an Rm of ~50 μm is a typical value of follicle curvature, yielding a scale of about 10 μm, which is larger than StC height and smaller than the size of the NC. Therefore, the measurement is sufficiently local to assess single NCs. To assess pressure measurements, we treated follicles with solutions with higher concentrations of osmolytes, which reduced AFM-based pressure as expected. Altogether, we find differences in pressure (ΔP) between NCs of about 50 Pa, with higher pressures in anterior NC, consistent with their convex posterior membranes. Based on the typical cell-cell radius of curvature observed (R ~ 50 μm), we obtain values of cortical tension 2RΔP ~ 5 mN/m, which is comparable to values of the order of 10 mN/m found in single animal cells (see, e.g., [101]). We thus conclude that our measurements mostly reflect the pressure of individual NCs.
Chemical treatment of the follicles
Collagenase (1,000 units/ml CLSP; Worthington Biochemical Corp) was added to a final volume of 200 μl. The reactions were stopped with 10 mM L-Cysteine after 80 min of incubation. These experimental conditions lead to collagen digestion all around the follicles (see Chlasta and colleagues, 2017 [31], for details).
The ROCK inhibitor Y-27632 (Sigma-Aldrich) was added to a final concentration of 100 μM.
The Latrunculin B drug (Sigma-Aldrich) was added to a final concentration of 125 μM and measurements were performed after a treatment of 20 min [50].
Imaging for 3D reconstruction
The MARS pipeline is based on the fusion of several confocal stacks of images, taken with multiple angles, in order to recreate a highly resolutive 3D reconstitution of the object. Segmentation is performed from the fused stack (for details, see [52]).
PHPLCγ::GFP follicles were dissected in PBS1X, before being stuck onto an coverslip coated with poly-L-lysine (0.5 mg/ml), which was glued on a Pasteur pipette. The pipette was fixed in a large petri dish, allowing its rotation in three angles (−30°, 0°, and +30°). Z-stacks were taken from the three angles using a 40×, 0.75 NA water-immersion objective of a Zeiss LSM700 confocal microscope (for S4 to M9 follicles) or using the 32×, 0.85 NA water-immersion objective and a pulse infrared laser (Chameleon OPO) of a Zeiss LSM 710 (for thick follicles starting mid-late S9). The follicles were either imaged in living conditions or fixed in a 4% formaldehyde solution and anti-GFP antibodies were used to detect PHPLCγ::GFP expression.
Cell curvature measurements
The 2D measurements are performed on fixed ovaries by manually applying circles fitting the curvatures between adjacent NC at a focal plane allowing border cell visualization.
The 3D measurements are performed from segmented NC generated by the MARS method using a custom-made Image macro, called “Find-Curve.” The Find-Curve macro for the ImageJ program [102] automatically processes all cell stacks contained in a root folder indicated by the user. As the third dimension of the stacks, created by the MARS 3D reconstructions, corresponds to the z axis, the program generates (X and Y) complementary orthogonal views. The three different views are then independently analyzed. Using the “Default” threshold, derived from the Iso-Data algorithm [103], the macro identifies the slice with the largest area. An option has been implemented to manually specify the slice to analyze. On this slice, for every point (O) of the perimeter, the angle (OA, OB) is calculated, with A and B two neighbor (10th degree) points, respectively upstream and downstream to O. The determination of local maximal angle values along the perimeter allows identification of the “summits” of the cell. These summits are used to define the various segments of the cell and generate the fitting regular polygon. For all segments, the radius of the best-fitting osculating circle is calculated [104,105]. This value is the curvature radius ρ of the studied segment. Finally, an.html report file is automatically created for human quality control.
A folder, called “test stacks for Fig 2G,” containing the three stacks corresponding to the NCs presented in Fig 2G and the macro can be downloaded by following this link: https://gitbio.ens-lyon.fr/dcluet/Find_Curve.
Flow velocity measurements
Flies were dissected in PBS 1X and placed in a petri dish coated with poly-L-lysine and incubated 10 min with fluorescent beads (Fluoresbrite Multifluorescent Microspheres 1.00 μm 2.5% [Polysciences], dilution 1/100) before being rinsed and maintained in the living medium described in Prasad and colleagues 2007 [106]. Images were acquired with Leica Macrofluo Plan Apo 5.0×/0.50 LWD objective. Image stacks (z = 80 μm) were taken every 30 min and analyzed with an ImageJ plugin, https://sites.google.com/site/qingzongtseng/piv [107]. Beads outside the follicle were manually removed to simplify the analysis. The anterior, central, and posterior areas are defined by dividing the length of the follicle.
BM photobleaching
Homozygous flies for vkg::GFP were dissected and maintained in the living medium [106]. Follicles were placed in a coverslip coated with poly-L-lysine, which was glued to the bottom of a custom-made open chamber. Living medium was added from the top and covered by semipermeable membrane. Fluorescent images of the samples were acquired on an inverted Zeiss LSM 710 confocal microscope with 40×/0.75 water-immersion objective using the 488-nm line of an Argon Laser at 25°C. All images were acquired at a 512 × 512 pixels resolution. FRAP experiments were carried out by scanning over 20 μm the follicle starting at about 15 μm from the coverslip. z Sections were performed with a step of 1 μm. The size of bleached ROI was about 10 × 10 × 10 μm, centered within the 20-μm-sized scanned area. Significant bleaching occurs after 20 iterations. All images were acquired at a scan speed of 4. Stacks of images were taken each 30 min over 2 h.
Statistical analyses
Normality of the samples was tested using Agostino-Pearson or Shapiro’s tests. Student t test, Mann-Whitney test, or Wilcoxon test were performed, depending on the normality and the variances.
Supporting information
Acknowledgments
We thank DSHB and Bloomington Stock Center for flies and reagents. We thank Lyon Multiscale Imaging Center (LyMiC) and Arthrotools of the SFR Bioscience (UMS3444/US8). We are very grateful to A. Guichet, D. Bilder, Anne Ephrussi, J. R. Huynh, B. Loppin, and Sally Horne-Badovinac for flies; V. Van de Bor for flies and discussions; and F. Schweisguth for discussions. We acknowledge X. Wang for critical comments on the manuscript.
Abbreviations
- A.U.
arbitrary units
- A/P
antero-posterior
- AFM
atomic force microscope
- AJ
adherens junction
- ANC
anteriormost NC
- BM
basement membrane
- dic
dicephalic
- Ecad
Ecadherin
- ERC
entrance RC
- ES9
early S9
- Eya
eye-absent expression
- GFP
green fluorescent protein
- kel
kelch
- LS9
late S9
- MARS pipeline
Multi-Angle image acquisition, three-dimensional Reconstruction, and cell Segmentation
- MBFC
main body follicular cell
- MS9
mid S9
- NC
nurse cell
- pMad
phosphorylated form of Mad
- PNC
posteriormost NC
- pSqh
phosphorylated sqh
- RC
ring canal
- RFP
red fluorescent protein
- S
stage
- sqh
spaghetti squash
- StC
stretched cell
- TkvA
constitutively active form Tkv
- WT
wild type
- Yki
Yorkies
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
This work received supported by the Agence Nationale de la recherche (Blanc 12-SVSE-0023-01, MechInMorph to AB and MG) (https://anr.fr), the Centre National pour la Recherche Scientifique (https://www.cnrs.fr), and the Ecole Normale Supérieure of Lyon (http://www.ens-lyon.fr). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Quintin S, Gally C, Labouesse M. Epithelial morphogenesis in embryos: asymmetries, motors and brakes. Trends Genet. 2008;24: 221–230. 10.1016/j.tig.2008.02.005 [DOI] [PubMed] [Google Scholar]
- 2.Nowotarski SH, Peifer M. Cell biology: A tense but good day for actin at cell-cell junctions. Curr Biol. 2014;24: R688–R690. 10.1016/j.cub.2014.06.063 [DOI] [PubMed] [Google Scholar]
- 3.Michael M, Yap AS. The regulation and functional impact of actin assembly at cadherin cell-cell adhesions. Seminars in Cell and Developmental Biology. 2013;24(4):298–307. 10.1016/j.semcdb.2012.12.004 [DOI] [PubMed] [Google Scholar]
- 4.Heer NC, Martin AC. Tension, contraction and tissue morphogenesis. Development. 2017;144: 4249–4260. 10.1242/dev.151282 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Pilot F, Philippe J-M, Lemmers C, Lecuit T. Spatial control of actin organization at adherens junctions by a synaptotagmin-like protein. Nature. 2006;442: 580–584. 10.1038/nature04935 [DOI] [PubMed] [Google Scholar]
- 6.Xu K, Sacharidou A, Fu S, Chong DC, Skaug B, Chen ZJ, et al. Blood Vessel Tubulogenesis Requires Rasip1 Regulation of GTPase Signaling. Dev Cell. 2011;20: 526–539. 10.1016/j.devcel.2011.02.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Fischer RS, Gardel M, Ma X, Adelstein RS, Waterman CM. Local Cortical Tension by Myosin II Guides 3D Endothelial Cell Branching. Curr Biol. 2009;19: 260–265. 10.1016/j.cub.2008.12.045 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Vasquez CG, Heissler SM, Billington N, Sellers JR, Martin AC. Drosophila non-muscle myosin II motor activity determines the rate of tissue folding. Elife. 2016; 10.7554/eLife.20828 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Martin AC, Kaschube M, Wieschaus EF. Pulsed contractions of an actin–myosin network drive apical constriction. Nature. 2009;457: 495–499. 10.1038/nature07522 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Etournay R, Popović M, Merkel M, Nandi A, Blasse C, Aigouy B, et al. Interplay of cell dynamics and epithelial tension during morphogenesis of the Drosophila pupal wing. Elife. 2015;4: 1–51. 10.7554/eLife.07090 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Aigouy B, Farhadifar R, Staple DB, Sagner A, Röper JC, Jülicher F, et al. Cell Flow Reorients the Axis of Planar Polarity in the Wing Epithelium of Drosophila. Cell. 2010;142: 773–786. 10.1016/j.cell.2010.07.042 [DOI] [PubMed] [Google Scholar]
- 12.Rauzi M, Verant P, Lecuit T, Lenne P-F. Nature and anisotropy of cortical forces orienting Drosophila tissue morphogenesis. Nat Cell Biol. 2008;10: 1401–1410. 10.1038/ncb1798 [DOI] [PubMed] [Google Scholar]
- 13.Farhadifar R, Röper JC, Aigouy B, Eaton S, Jülicher F. The Influence of Cell Mechanics, Cell-Cell Interactions, and Proliferation on Epithelial Packing. Curr Biol. 2007;17: 2095–2104. 10.1016/j.cub.2007.11.049 [DOI] [PubMed] [Google Scholar]
- 14.Wei SC, Fattet L, Tsai JH, Guo Y, Pai VH, Majeski HE, et al. Matrix stiffness drives epithelial-mesenchymal transition and tumour metastasis through a TWIST1-G3BP2 mechanotransduction pathway. Nat Cell Biol. 2015;17: 678–88. 10.1038/ncb3157 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Daley WP, Yamada KM. ECM-modulated cellular dynamics as a driving force for tissue morphogenesis. Curr Opin Genet Dev. 2013;23: 408–414. 10.1016/j.gde.2013.05.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Hoffman BD, Yap AS. Towards a Dynamic Understanding of Cadherin-Based Mechanobiology. Trends Cell Biol. 2015;25: 803–814. 10.1016/j.tcb.2015.09.008 [DOI] [PubMed] [Google Scholar]
- 17.Ng MR osa, Besser A, Brugge JS, Danuser G. Mapping the dynamics of force transduction at cell-cell junctions of epithelial clusters. Elife. 2014;3: e03282 10.7554/eLife.03282 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Taylor- Weiner H, Ravi N, Engler AJ. Traction forces mediated by integrin signaling are necessary for definitive endoderm specification. J Cell Sci. 2015;128: 1961–1968. 10.1242/jcs.166157 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Farge E. Mechanical induction of Twist in the Drosophila foregut/stomodeal primordium. Curr Biol. 2003;13: 1365–1377. 10.1016/s0960-9822(03)00576-1 [DOI] [PubMed] [Google Scholar]
- 20.Kasza KE, Rowat AC, Liu J, Angelini TE, Brangwynne CP, Koenderink GH, et al. The cell as a material. Curr Opin Cell Biol. 2007;19: 101–107. 10.1016/j.ceb.2006.12.002 [DOI] [PubMed] [Google Scholar]
- 21.Janmey PA, Georges PC, Hvidt S. Basic Rheology for Biologists. Methods Cell Biol. 2007;83 10.1016/S0091-679X(07)83001-9 [DOI] [PubMed] [Google Scholar]
- 22.Mammoto T, Ingber DE. Mechanical control of tissue and organ development. Development. 2010;137: 1407–1420. 10.1242/dev.024166 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Butler LC, Blanchard GB, Kabla AJ, Lawrence NJ, Welchman DP, Mahadevan L, et al. Cell shape changes indicate a role for extrinsic tensile forces in Drosophila germ-band extension. Nat Cell Biol. 2009;11: 859–864. 10.1038/ncb1894 [DOI] [PubMed] [Google Scholar]
- 24.Hiramatsu R, Matsuoka T, Kimura-Yoshida C, Han SW, Mochida K, Adachi T, et al. External mechanical cues trigger the establishment of the anterior-posterior axis in early mouse embryos. Dev Cell. 2013;27: 131–144. 10.1016/j.devcel.2013.09.026 [DOI] [PubMed] [Google Scholar]
- 25.King RC. Ovarian development in Drosophila melanogaster. Academic Press; 1970. 10.1007/BF00335399 [DOI] [PubMed] [Google Scholar]
- 26.Spradling AC. Developmental genetics of oogenesis In: Bate M, Martinez-Arias A. The Development of Drosophila Melanogaster. Cold Spring Harbor, NY: Cold Spring Harbor Laboratory Press; 1993: p. 1–70. [Google Scholar]
- 27.Robinson DN, Cant K, Cooley L. Morphogenesis of Drosophila ovarian ring canals. Development. 1994;120: 2015–2025. [DOI] [PubMed] [Google Scholar]
- 28.Grammont M. Adherens junction remodeling by the Notch pathway in Drosophila melanogaster oogenesis. J Cell Biol. 2007;177: 139–150. 10.1083/jcb.200609079 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Brigaud I, Duteyrat J-L, Chlasta J, Le Bail S, Couderc J-L, Grammont M. Transforming Growth Factor /activin signalling induces epithelial cell flattening during Drosophila oogenesis. Biol Open. 2015;4: 345–354. 10.1242/bio.201410785 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Gomez JM, Wang Y, Riechmann V. Tao controls epithelial morphogenesis by promoting fasciclin 2 endocytosis. J Cell Biol. 2012;199: 1131–1143. 10.1083/jcb.201207150 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Chlasta J, Milani P, Runel G, Duteyrat J-L, Arias L, Lamiré L-A, et al. Variations in basement membrane mechanics are linked to epithelial morphogenesis. Development. 2017;144: dev.152652 10.1242/dev.152652 [DOI] [PubMed] [Google Scholar]
- 32.Kolahi KS, White PF, Shreter DM, Classen AK, Bilder D, Mofrad MRK. Quantitative analysis of epithelial morphogenesis in Drosophila oogenesis: New insights based on morphometric analysis and mechanical modeling. Dev Biol. 2009;331: 129–139. 10.1016/j.ydbio.2009.04.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Guichet a, Peri F, Roth S. Stable anterior anchoring of the oocyte nucleus is required to establish dorsoventral polarity of the Drosophila egg. Dev Biol. 2001;237: 93–106. 10.1006/dbio.2001.0354 [DOI] [PubMed] [Google Scholar]
- 34.Quéré D, Brochard-Wyart F, de Gennes P-G. Capillarity and Wetting Phenomena Drops, Bubbles, Pearls, Waves. Springer; 2003. [Google Scholar]
- 35.Manning ML, Foty RA, Steinberg MS, Schoetz EM. Coaction of intercellular adhesion and cortical tension specifies tissue surface tension. Proc Natl Acad Sci U S A. 2010;107: 12517–12522. 10.1073/pnas.1003743107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Käfer J, Hayashi T, M Maré AF, Carthew RW, Graner F. Cell adhesion and cortex contractility determine cell patterning in the Drosophila retina. Proc Natl Acad Sci. 2007;104(47):18549–18554. 10.1073/pnas.0704235104 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Krieg M, Arboleda-Estudillo Y, Puech P-H, Käfer J, Graner F, Müller DJ, et al. Tensile forces govern germ-layer organization in zebrafish. Nature. 2008;10:429–436. 10.1038/ncb1705 [DOI] [PubMed] [Google Scholar]
- 38.Hilgenfeldt S, Erisken S, Carthew RW. Physical modeling of cell geometric order in an epithelial tissue. Proc Natl Acad Sci. 2008;105(3):907–911. 10.1073/pnas.0711077105 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Alonso JL, Goldmann WH. Feeling the forces: Atomic force microscopy in cell biology. Life Sciences. 2003;72(23):2553–2560. 10.1016/s0024-3205(03)00165-6 [DOI] [PubMed] [Google Scholar]
- 40.Chevalier NR, Gazguez E, Dufour S, Fleury V. Measuring the micromechanical properties of embryonic tissues. Methods. 2016;94: 120–128. 10.1016/j.ymeth.2015.08.001 [DOI] [PubMed] [Google Scholar]
- 41.Kim SN, Jeibmann A, Halama K, Witte HT, Walte M, Matzat T, et al. ECM stiffness regulates glial migration in Drosophila and mammalian glioma models. Development. 2014;141: 3233–3242. 10.1242/dev.106039 [DOI] [PubMed] [Google Scholar]
- 42.Lavanya Devi AL, Nongthomba U, Bobji MS. Quantitative characterization of adhesion and stiffness of corneal lens of Drosophila melanogaster using atomic force microscopy. J Mech Behav Biomed Mater. 2016;53: 161–173. 10.1016/j.jmbbm.2015.08.015 [DOI] [PubMed] [Google Scholar]
- 43.Milani P, Gholamirad M, Traas J, Arnéodo A, Boudaoud A, Argoul F, et al. In vivo analysis of local wall stiffness at the shoot apical meristem in Arabidopsis using atomic force microscopy. Plant J. 2011;67: 1116–1123. 10.1111/j.1365-313X.2011.04649.x [DOI] [PubMed] [Google Scholar]
- 44.Milani P, Mirabet V, Cellier C, Rozier F, Hamant O, Das P, et al. Matching Patterns of Gene Expression to Mechanical Stiffness at Cell Resolution through Quantitative Tandem Epifluorescence and Nanoindentation. Plant Physiol. 2014;165: 1399–1408. 10.1104/pp.114.237115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Beauzamy L, Derr J, Boudaoud A. Quantifying hydrostatic pressure in plant cells by using indentation with an atomic force microscope. Biophys J. 2015;108: 2448–2456. 10.1016/j.bpj.2015.03.035 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Stewart MP, Helenius J, Toyoda Y, Ramanathan SP, Muller DJ, Hyman AA. Hydrostatic pressure and the actomyosin cortex drive mitotic cell rounding. Nature. 2011;469: 226–230. 10.1038/nature09642 [DOI] [PubMed] [Google Scholar]
- 47.Henkels J, Oh J, Xu W, Owen D, Sulchek T, Zamir E. Spatiotemporal mechanical variation reveals critical role for rho kinase during primitive streak morphogenesis. Ann Biomed Eng. 2013;41: 421–432. 10.1007/s10439-012-0652-y [DOI] [PubMed] [Google Scholar]
- 48.Dumortier JG, Le Verge-Serandour M, Tortorelli AF, Mielke A, De Plater L, Turlier H, et al. Hydraulic fracturing and active coarsening position the lumen of the mouse blastocyst. Science. 2019;365: 465–468. 10.1126/science.aaw7709 [DOI] [PubMed] [Google Scholar]
- 49.He L, Wang X, Tang HL, Montell DJ. Tissue elongation requires oscillating contractions of a basal actomyosin network. Nat Cell Biol. 2010;12: 1133–1142. 10.1038/ncb2124 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Huelsmann S, Ylänne J, Brown NH. Filopodia-like actin cables position nuclei in association with perinuclear actin in Drosophila nurse cells. Dev Cell. 2013;26: 604–615. 10.1016/j.devcel.2013.08.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Crest J, Diz-Muñoz A, Chen DY, Fletcher DA, Bilder D. Organ sculpting by patterned extracellular matrix stiffness. Elife. 2017;6: 1–16. 10.7554/eLife.24958 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Fernandez R, Das P, Mirabet V, Moscardi E, Traas J, Verdeil J-L, et al. Imaging plant growth in 4D: robust tissue reconstruction and lineaging at cell resolution. Nat Methods. 2010;7: 547–553. 10.1038/nmeth.1472 [DOI] [PubMed] [Google Scholar]
- 53.Lohs-Schardin M. Dicephalic—A Drosophila mutant affecting polarity in follicle organization and embryonic patterning. Wilhelm Roux’s Arch Dev Biol. 1982;191: 28–36. 10.1007/BF00848543 [DOI] [PubMed] [Google Scholar]
- 54.Xue F, Cooley L. Kelch encodes a component of intercellular bridges in Drosophila egg chambers. Cell. 1993;72: 681–693. 10.1016/0092-8674(93)90397-9 [DOI] [PubMed] [Google Scholar]
- 55.Hudson AM, Cooley L. Drosophila Kelch functions with Cullin-3 to organize the ring canal actin cytoskeleton. J Cell Biol. 2010;188: 29–37. 10.1083/jcb.200909017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Gorjánácz M, Török I, Pomozi I, Garab G, Szlanka T, Kiss I, et al. Domains of Importin-α2 required for ring canal assembly during Drosophila oogenesis. J Struct Biol. 2006;154: 27–41. 10.1016/j.jsb.2005.12.007 [DOI] [PubMed] [Google Scholar]
- 57.His W. Proliferative pressure is perhaps one of the oldest mechanical hypotheses proposed for morphogenesis. Biodivers Herit Libr; 1874. [Google Scholar]
- 58.Hammond MP, Laird CD. Chromosome structure and DNA replication in nurse and follicle cells of Drosophila melanogaster. Chromosoma. 1985;91: 267–278. 10.1007/BF00328222 [DOI] [PubMed] [Google Scholar]
- 59.Krüger J, Bohrmann J. Bioelectric patterning during oogenesis: stage-specific distribution of membrane potentials, intracellular pH and ion-transport mechanisms in Drosophila ovarian follicles. BMC Dev Biol. 2015;15: 1 10.1186/s12861-015-0051-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Cheddadi I, Génard M, Bertin N, Godin C. Coupling water fluxes with cell wall mechanics in a multicellular model of plant development. PLoS Comput Biol. 2019;15: e1007121 10.1371/journal.pcbi.1007121 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Long Y, Cheddadi I, Mosca G, Mirabet V, Dumond M, Kiss A, et al. Cellular Heterogeneity in Pressure and Growth Emerges from Tissue Topology and Geometry. Curr Biol. 2020;30: 1504–1516.e8. 10.1016/j.cub.2020.02.027 [DOI] [PubMed] [Google Scholar]
- 62.Imran Alsous J, Villoutreix P, Berezhkovskii AM, Shvartsman SY. Collective Growth in a Small Cell Network. Curr Biol. 2017;27: 2670–2676.e4. 10.1016/j.cub.2017.07.038 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Brigaud I, Duteyrat J-L, Chlasta J, Le Bail S, Couderc J-L, Grammont M. Transforming Growth Factor β/activin signalling induces epithelial cell flattening during Drosophila oogenesis. Biol Open. 2015;4: 345–54. 10.1242/bio.201410785 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Fletcher GC, Diaz-de-la-Loza M-C, Borreguero-Muñoz N, Holder M, Aguilar-Aragon M, Thompson BJ. Mechanical strain regulates the Hippo pathway in Drosophila. Development. 2018;145: dev.159467 10.1242/dev.159467 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Oh H, Irvine KD. Cooperative Regulation of Growth by Yorkie and Mad through bantam. Dev Cell. 2011;20: 109–122. 10.1016/j.devcel.2010.12.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Rauskolb C, Sun S, Sun G, Pan Y, Irvine KD. Cytoskeletal tension inhibits Hippo signaling through an Ajuba-Warts complex. Cell. 2014;158: 143–156. 10.1016/j.cell.2014.05.035 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Haigo SL, Bilder D. Global Tissue Revolutions in a Morphogenetic Movement Controlling Elongation. Science. 2011;331: 1071–1074. 10.1126/science.1199424 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Lerner DW, McCoy D, Isabella AJ, Mahowald AP, Gerlach GF, Chaudhry TA, et al. A Rab10-Dependent Mechanism for Polarized Basement Membrane Secretion during Organ Morphogenesis. Dev Cell. 2013;24: 159–168. 10.1016/j.devcel.2012.12.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Cetera M, Ramirez-San Juan GR, Oakes PW, Lewellyn L, Fairchild MJ, Tanentzapf G, et al. Epithelial rotation promotes the global alignment of contractile actin bundles during Drosophila egg chamber elongation. Nat Commun. 2014;5 10.1038/ncomms6511 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Isabella AJ, Horne-Badovinac S. Dynamic regulation of basement membrane protein levels promotes egg chamber elongation in Drosophila. Dev Biol. 2015;406: 212–221. 10.1016/j.ydbio.2015.08.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Isabella AJ, Horne-Badovinac S. Rab10-Mediated Secretion Synergizes with Tissue Movement to Build a Polarized Basement Membrane Architecture for Organ Morphogenesis. Dev Cell. 2016;38: 47–60. 10.1016/j.devcel.2016.06.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Horne-Badovinac S, Hill J, Gerlach G, Menegas W, Bilder D. A screen for round egg mutants in Drosophila identifies tricornered, furry, and misshapen as regulators of egg chamber elongation. G3 (Bethesda). 2012;2: 371–8. 10.1534/g3.111.001677 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Schneider M, Khalil A a, Poulton J, Castillejo-Lopez C, Egger-Adam D, Wodarz A, et al. Perlecan and Dystroglycan act at the basal side of the Drosophila follicular epithelium to maintain epithelial organization. Development. 2006;133: 3805–15. 10.1242/dev.02549 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Díaz de la Loza MC, Díaz-Torres A, Zurita F, Rosales-Nieves AE, Moeendarbary E, Franze K, et al. Laminin Levels Regulate Tissue Migration and Anterior-Posterior Polarity during Egg Morphogenesis in Drosophila. Cell Rep. 2017;20: 211–223. 10.1016/j.celrep.2017.06.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Viktorinová I, Dahmann C. Microtubule polarity predicts direction of egg chamber rotation in Drosophila. Curr Biol. 2013;23: 1472–1477. 10.1016/j.cub.2013.06.014 [DOI] [PubMed] [Google Scholar]
- 76.Viktorinová I, König T, Schlichting K, Dahmann C. The cadherin Fat2 is required for planar cell polarity in the Drosophila ovary. Development. 2009;136: 4123–4132. 10.1242/dev.039099 [DOI] [PubMed] [Google Scholar]
- 77.Bateman J, Reddy RS, Saito H, Van Vactor D. The receptor tyrosine phosphatase Dlar and integrins organize actin filaments in the Drosophila follicular epithelium. Curr Biol. 2001;11: 1317–1327. 10.1016/s0960-9822(01)00420-1 [DOI] [PubMed] [Google Scholar]
- 78.Isabella AJ, Horne-badovinac S. SPARC down-regulation promotes Drosophila egg chamber elongation by increasing basement membrane Collagen IV levels. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Denef N, Chen Y, Weeks SD, Barcelo G, Schüpbach T. Crag regulates epithelial architecture and polarized deposition of basement membrane proteins in Drosophila. Dev Cell. 2008;14: 354–364. 10.1016/j.devcel.2007.12.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Navis A, Bagnat M. Developing pressures: FLUID forces driving morphogenesis. Curr Opin Genet Dev. 2015;32: 24–30. 10.1016/j.gde.2015.01.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Park S-J, Goodman MB, Pruitt BL. Analysis of nematode mechanics by piezoresistive displacement clamp. 2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Kücken M, Soriano J, Pullarkat PA, Ott A, Nicola EM. An osmoregulatory basis for shape oscillations in regenerating Hydra. Biophys J. 2008;95: 978–985. 10.1529/biophysj.107.117655 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Adams DS, Keller R, Koehl MAR. The mechanics of notochord elongation, straightening and stiffening in the embryo of Xenopus laevis. Development. 1990;110: 115–130. 10.1111/j.0022-1112.2005.00688.x [DOI] [PubMed] [Google Scholar]
- 84.Ellis K, Bagwell J, Bagnat M. Notochord vacuoles are lysosome-related organelles that function in axis and spine morphogenesis. J Cell Biol. 2013;200: 667–679. 10.1083/jcb.201212095 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Chan CJ, Costanzo M, Ruiz-Herrero T, Mönke G, Petrie RJ, Bergert M, et al. Hydraulic control of mammalian embryo size and cell fate. Nature. 2019;571: 112–116. 10.1038/s41586-019-1309-x [DOI] [PubMed] [Google Scholar]
- 86.Rojas ER, Huang KC. Regulation of microbial growth by turgor pressure. Curr Opin Microbiol. 2018;42: 62–70. 10.1016/j.mib.2017.10.015 [DOI] [PubMed] [Google Scholar]
- 87.Petrella LN, Smith-Leiker T, Cooley L. The Ovhts polyprotein is cleaved to produce fusome and ring canal proteins required for Drosophila oogenesis. Development. 2007;134: 703–712. 10.1242/dev.02766 [DOI] [PubMed] [Google Scholar]
- 88.Huang J, Zhou W, Dong W, Watson AM, Hong Y. Directed, efficient, and versatile modifications of the Drosophila genome by genomic engineering. Proc Natl Acad Sci. 2009;106: 8284–8289. 10.1073/pnas.0900641106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Compagnon J, Gervais L, Roman MS, Chamot-Boeuf S, Guichet A. Interplay between Rab5 and PtdIns(4,5)P2 controls early endocytosis in the Drosophila germline. J Cell Sci. 2009;122: 25–35. 10.1242/jcs.033027 [DOI] [PubMed] [Google Scholar]
- 90.Bangi E, Wharton K. Dpp and Gbb exhibit different effective ranges in the establishment of the BMP activity gradient critical for Drosophila wing patterning. Dev Biol. 2006;295: 178–193. 10.1016/j.ydbio.2006.03.021 [DOI] [PubMed] [Google Scholar]
- 91.Li MA, Alls JD, Avancini RM, Koo K, Godt D. The large Maf factor Traffic Jam controls gonad morphogenesis in Drosophila. Nat Cell Biol. 2003;5: 994–1000. 10.1038/ncb1058 [DOI] [PubMed] [Google Scholar]
- 92.Ni J-Q, Zhou R, Czech B, Liu L-P, Holderbaum L, Yang-Zhou D, et al. A genome-scale shRNA resource for transgenic RNAi in Drosophila. Nat Methods 2011 85. 2011;8: 405–407. 10.1038/nmeth.1592 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Häcker U, Perrimon N. DRhoGEF2 encodes a member of the Dbl family of oncogenes and controls cell shape changes during gastrulation in Drosophila. Genes Dev. 1998;12: 274 10.1101/gad.12.2.274 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Liu M, Lim TM, Cai Y. The Drosophila female germline stem cell lineage acts to spatially restrict DPP function within the niche. Sci Signal. 2010;3: ra57 10.1126/scisignal.2000740 [DOI] [PubMed] [Google Scholar]
- 95.Rorth P. Gal4 in the Drosophila female germline. Mech Dev. 1998;78: 113_118. 10.1016/s0925-4773(98)00157-9 [DOI] [PubMed] [Google Scholar]
- 96.Morin X, Daneman R, Zavortink M, Chia W. A protein trap strategy to detect GFP-tagged proteins expressed from their endogenous loci in Drosophila. Proc Natl Acad Sci. 2001;98: 15050–15055. 10.1073/pnas.261408198 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Ito K, Sass H, Urban J, Hofbauer A, Schneuwly S. GAL4-responsive UAS-tau as a tool for studying the anatomy and development of the Drosophila central nervous system. Cell Tissue Res. 1997; 10.1007/s004410050901 [DOI] [PubMed] [Google Scholar]
- 98.Hutter J, Bechhoefer J. Calibration of atomic force microscope tips. Rev Sci Instrum. 1993;64: 1868 10.1063/1.1143970 [DOI] [Google Scholar]
- 99.Lévy R, Maaloum M. Measuring the spring constant of atomic force microscope cantilevers: thermal fluctuations and other methods. Nanotechnology. 2002;13: 33–37. 10.1088/0957-4484/13/1/307 [DOI] [Google Scholar]
- 100.Vella D, Ajdari A, Vaziri A, Boudaoud A. Indentation of ellipsoidal and cylindrical elastic shells. Phys Rev Lett. 2012; 10.1103/PhysRevLett.109.144302 [DOI] [PubMed] [Google Scholar]
- 101.Hochmuth RM. Micropipette aspiration of living cells. J Biomech. 2000;33: 15–22. 10.1016/s0021-9290(99)00175-x [DOI] [PubMed] [Google Scholar]
- 102.Schneider CA, Rasband WS, Eliceiri KW. NIH Image to ImageJ: 25 years of Image Analysis. Nature Methods. 2012;9:671–675. 10.1038/nmeth.2089 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Ridler T.W. Calvard S. Picture Thresholding Using an Iterative Slection Method. IEEE Trans Syst Man Cybern. 1978;8(8):630–632. 10.1109/TSMC.1978.4310039 [DOI] [Google Scholar]
- 104.Berutti E, Paolino DS, Chiandussi G, Alovisi M, Cantatore G, Castellucci A, et al. Root canal anatomy preservation of waveone reciprocating files with or without glide path. J Endod. 2012; 10.1016/j.joen.2011.09.030 [DOI] [PubMed] [Google Scholar]
- 105.Mesmoudi MM, Floriani L De, Magillo P. A Geometric Approach to Curvature Estimation on Triangulated 3D Shapes. Int Conf Comput Graph Theory Appl. 2010. [Google Scholar]
- 106.Prasad M, Jang AC-C, Starz-Gaiano M, Melani M, Montell DJ. A protocol for culturing Drosophila melanogaster stage 9 egg chambers for live imaging. Nat Protoc. 2007;2: 2467–2473. 10.1038/nprot.2007.363 [DOI] [PubMed] [Google Scholar]
- 107.Tseng Q, Duchemin-Pelletier E, Deshiere A, Balland M, Guillou H, Filhol O, et al. Spatial organization of the extracellular matrix regulates cell-cell junction positioning. Proc Natl Acad Sci. 2012;109(5):1506–1511. 10.1073/pnas.1106377109 [DOI] [PMC free article] [PubMed] [Google Scholar]