Lateral inhibition
Lateral inhibition is a patterning mechanism in which cells in a field end up in different states from their neighbours. Newman describes Notch-mediated lateral inhibition as well suited to fine-grained salt-and-pepper patterns of alternating cell types4. The same idea appears in reaction-diffusion models of regeneration2, in endothelial tip and stalk selection6 and in ion channel-dependent neural lateralization1.
- Earliest held
- 2012, Pai VP, Vandenberg LN…
- Most discussed in
- Active perception during angiogenesis…, 2021
- In the library
- 25 passages in 7 works
- Rewritten
- 2026-11-02
Reaction-diffusion models
Durant and colleagues (2016) review an older line of theory in which lateral inhibition acts over long range. Meinhardt and Gierer, inspired by Turing, proposed chemical systems with local self-activation and long-range lateral inhibition that generate patterns from near-homogeneous states2. Durant et al. report that such models can explain polarity, re-patterning and scaling in planarian worms after surgery2. A classic local activation and lateral inhibition model with a third diffusible molecule can match the head-tail pattern to worm length, as Werner and colleagues showed in 20152. Specific molecular components have been proposed for these mechanisms, such as cAMP and ATP, which can diffuse through gap junctions (Schiffmann 2011)2.
Notch and cell fate
Newman (2019) describes lateral inhibition through the Notch pathway as suited to fine-grained salt-and-pepper patterns in which adjacent cells differ4. Newman argues that organogenesis needs larger domains of one cell type, and that morphogen gradients can set these only if the target cells are in similar states of receptivity4. Newman groups morphogen induction and lateral inhibition as active, energy-consuming processes that change one kind of entity into another, and compares them to chemical transformation5. Davies and Cachat (2016) write that others have created synthetic Notch–Delta circuits that could be used to generate lateral-inhibition patterns in mammalian cells3. They describe their own de novo system, which uses adhesion-driven phase separation instead3.
Tip and stalk selection
Zakirov and colleagues (2021) used a computational model of endothelial cell selection in angiogenesis. They report that small changes in the probability of extending a filopodium delayed selection of the alternating tip and stalk pattern6. A reduced VEGF gradient or concentration also slowed patterning, in agreement with the precursor model6. Their simulations predict that increased filopodia extension can rescue patterning speed when VEGF function is reduced6. They note that the role of filopodia in angiogenesis has been elusive. Filopodia had earlier been described as widening the reach of cell-cell communication in Notch patterning of Drosophila bristles7.
Bioelectric connections
Pai and colleagues (2012) cite a stochastic lateral inhibition system involving ion channels that produces lateralized neural differentiation in C. elegans1. They call it tempting to speculate that an asymmetric bioelectric signal could trigger genetic, chemical or biophysical patterns that let the left and right sides of the visual system differ1. Silic and Zhang (2023), reviewing chemogenetic tools, report a study in which PSAM-GlyR was expressed in zebrafish horizontal cells. Disrupting the membrane voltage of those cells altered the light response and lateral inhibition in retinal ganglion cells8.
In C. elegans, for example, a stochastic lateral inhibition system involving ion channels results in lateralized neural differentiation and function
Pai VP, Vandenberg LN, Blackiston D, Levin M, 2012 · Neurally Derived Tissues in Xenopus laevis Embryos Exhibit a Consistent… · open at passage 22Interestingly, a classic local activation and lateral inhibition model extended with an extra third diffusible molecule can account for the scaling of the
Durant F, Lobo D, Hammelman J, Levin M, 2016 · Physiological controls of large-scale patterning in planarian regeneration: a… · open at passage 40Others have created synthetic circuits that could be used to generate lateral-inhibition patterns in mammalian cells, with components of the Notch–Delta signalling pathway
Davies JA, Cachat E, 2016 · Synthetic biology meets tissue engineering · open at passage 11Lateral inhibition mediated by the Notch pathway is well suited to generating fine-grained salt-and-pepper-like patterns in which adjacent cells are of different types.
Newman SA, 2019 · Inherency of Form and Function in Animal Development and Evolution · open at passage 60Like chemistry, these are active (i.e., energy consuming) rather than passive processes, in which one kind of entity (a molecule or a cell type) is changed into another.
Newman SA, 2019 · Inherency of Form and Function in Animal Development and Evolution · open at passage 59We found that even small changes to the parameter determining the probability of extending a filopodium (F) in the model (initiating a new one or continuing to extend an existing one) resulted in a delayed selection
Zakirov B, Charalambous G, Thuret R, Aspalter IM…, 2021 · Active perception during angiogenesis: filopodia speed up Notch selection of… · open at passage 21Filopodia have previously been defined to expand the spatial limits of cell–cell communication during Notch lateral inhibition patterning in drosophila bristle selection
Zakirov B, Charalambous G, Thuret R, Aspalter IM…, 2021 · Active perception during angiogenesis: filopodia speed up Notch selection of… · open at passage 14Disrupting Vm of HCs resulted in altered light response and lateral inhibition in retinal ganglion cells.
Silic MR, Zhang G, 2023 · Bioelectricity in Developmental Patterning and Size Control: Evidence and… · open at passage 41
| 2021 | Active perception during angiogenesis: filopodia speed up Notch selection of… · Zakirov B, Charalambous G, Thuret R… | 16 |
| 2019 | Inherency of Form and Function in Animal Development and Evolution · Newman SA | 4 |
| 2023 | Bioelectricity in Developmental Patterning and Size Control: Evidence and… · Silic MR, Zhang G | 1 |
| 2012 | Neurally Derived Tissues in Xenopus laevis Embryos Exhibit a Consistent… · Pai VP, Vandenberg LN, Blackiston D… | 1 |
| 2017 | Discovering novel phenotypes with automatically inferred dynamic models: a… · Lobo D, Lobikin M, Levin M | 1 |
| 2016 | Physiological controls of large-scale patterning in planarian regeneration: a… · Durant F, Lobo D, Hammelman J, Levin M | 1 |
| 2016 | Synthetic biology meets tissue engineering · Davies JA, Cachat E | 1 |