Abstract
In a tractable model for cell invasion, the Caenorhabditis elegans anchor cell migrates through basement membranes towards a polarity cue provided by netrin. A new study reveals that the anchor cell polarity network can break symmetry and oscillate in the absence of netrin, suggesting the presence of interlinked positive and negative feedback loops, which are common in polarity pathways.
Establishment of cell polarity and guidance of cell growth or movement are critical processes for proper development of a multicellular organism. However, because of the difficulty in detecting and manipulating such processes in vivo, most studies on polarity mechanisms have focused on single-cell systems. A new study by Wang et al. [1] published in the Journal of Cell Biology exploits the transparent nematode worm Caenorhabditis elegans to demonstrate that polarity control principles recently discovered in single-cell systems also act in a multicellular context.
In order to initiate uterine–vulval attachment, the C. elegans anchor cell polarizes toward a netrin spatial cue and invades through the basement membranes separating the uterine and vulval tissues (Figure 1Ai) [2]. Netrin, a laminin-related protein, is secreted by the ventral nerve cord and is sensed by the anchor cell through the netrin receptor UNC-40 (the ortholog of the vertebrate deleted in colorectal cancer receptor, DCC). In addition to anchor cell invasion, netrin directs several other polarization events in C. elegans, including dendritic and axon outgrowth [3,4], synaptogenesis [5], and distal tip cell migration [6].
Cells that orient towards specific cues generally develop a stable polarity axis with a clear ‘front’. But what happens when the spatial cue is removed? Wang et al. [1] found that, in the absence of netrin, UNC-40 and its effectors cluster at a random site in the anchor cell. Using high-resolution time-lapse microscopy, the authors found that these polarity clusters were dynamic: they disassembled and then reassembled at a new site in an oscillatory manner (Figure 1Aii). Clustering at random sites is suggestive of the existence of positive feedback, such that small asymmetries in polarity protein concentration are amplified to promote clustering. Subsequent cluster disassembly is suggestive of delayed negative feedback, which counteracts positive feedback.
The presence of interlinked positive and negative feedback loops has been inferred from similar oscillatory or excitable behavior in other systems. In appropriate environments, cells of the social amoeba Dictyostelium discoideum aggregate to form fruiting bodies. The cells migrate towards each other following gradients of the chemoattractant cyclic AMP (cAMP) and such cells stably concentrate the polarity regulators Ras-GTP and phosphatidylinositol-3,4,5-triphosphate (PIP3) at the front (Figure 1Bi). But when D. discoideum cells are deprived of a spatial cue, Ras-GTP and PIP3 spontaneously cluster at random locations. The polarity clusters then disperse and reform at other sites (Figure 1Bii) [7]. In another example, cells of the budding yeast Saccharomyces cerevisiae stably polarize Cdc42 and associated polarity factors at preselected bud sites demarcated by a system of inherited bud-site-selection cues (Figure 1Ci). But in mutants lacking such cues, polarity factors spontaneously cluster at a random location on the cell cortex. These polarity clusters also disperse and reform, often, though not always, at the same site (Figure 1Cii) [8]. Similar oscillatory behaviors have also been noted for Cdc42 and related GTPases in T cells [9], fission yeast [10,11], and pollen tubes [12]. Although these various examples utilize different molecules and occur on different timescales (Figure 1Aii,Bii,Cii), they appear to reflect a common underlying architecture of interlinked positive and negative feedback loops [13].
Studies on biological oscillators, like those controlling circadian rhythms and the cell cycle, have established that interlinked positive feedback and delayed negative feedback loops constitute an excellent way to construct a robust oscillator [14,15]. But there is no obvious need for a polarity system to oscillate. Indeed, oscillatory or excitable behaviors of polarity regulators were only revealed when experimenters deprived polarizing cells of their normal spatial cues (Figure 1Aii,Bii,Cii). So, what benefits would interlinked positive and negative feedback provide for polarity networks?
One hypothesis on the potential role of feedback derives from the observation that, in their physiological contexts, polarizing cells are often called upon to track very shallow chemical gradients in a noisy environment. Positive feedback provides an effective way to amplify a shallow gradient signal into a strongly polarized response that can orient cell motility or growth. However, the resulting hair-trigger polarization may lead cells to polarize in the wrong direction, and, once polarized, positive feedback would make it hard to change direction. Theoretical studies showed that addition of a slower negative feedback loop could counteract these problems, allowing error correction and effective gradient tracking [16]. Thus, the circuit design revealed by oscillatory behavior in the absence of spatial information may have been optimized to allow effective gradient tracking when spatial cues are present. Alternatively, it has been speculated that negative feedback may serve to restrain the spreading of polarity clusters by positive feedback, making polarity systems more robust [8].
Testing whether these concepts hold in the anchor cell will require elucidation of the mechanisms of positive and negative feedback, so that they can be surgically removed. Wang et al. [1] show that UNC-40 and its effectors localize to the polarity clusters, and that the UNC-40 receptor itself is required for polarity cluster oscillations. This suggests that the receptor is active even in the absence of netrin, and may itself participate in the posited feedback mechanisms. Given the polarizing roles of netrin/DCC in other cell types, it will be very interesting to see whether similar feedback loops are common in other developmental contexts. More generally, an understanding of the feedback mechanisms in different polarity systems will allow us to appreciate whether they are indeed employed to hone gradient tracking or whether they provide additional benefits.
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