The queer (spatial) economies of The Lavender Hill Mob

This essay provides a new reading of the popular Ealing comedy 'The Lavender Hill Mob' (Charles Crichton, 1951) by rethinking its relationship to wider cultural developments in Britain at the time of its release. The immediate post-war period was marked by an investment in town planning ideologies as a means to repair the devastation of the Blitz and to build a more cohesive social order through the reformation of the built environment. During the reconstruction, various pedagogical initiatives sought to infuse an idea of national citizenship within a certain mode of inhabiting, moving through and reading urban space. The early-1950s were also marked by a sudden press attention to the problems of ‘male vice’ in London and, in particular, the way queer men had their own illicit urban choreographies and ways of engaging with the city. Such queer geographies were vilified for their anti-social nature and demonised as an attack on the normative spatial dynamics being propagated elsewhere. This essay argues that 'The Lavender Hill Mob' offered a sly celebration of precisely those illicit queer geographies that were becoming problematic at the time of its release. Not only is the film deeply queer in both its characterisations and its manner, but its central narrative revolves around a displaced articulation of the ‘crime’ of homosexuality as it was being imagined in the early-1950s. Through this, the film invites its audience to participate in a range of queer engagements with the city, not as a source of social anxiety but one of comedic delight

Stem cell function in the mouse corneal epithelium

Limbal stem cells maintain the corneal epithelium through a process of clonal growth and ordered migration. In X-inactivation mosaic female mice, that express LacZ from one of their X-chromosomes, random clumps of LacZ-positive cells are seen in the cornea at 3-6 weeks of life. This pattern resolves between 6-10 weeks forming radial stripes thought to represent chords of clonally related, inwardly migrating cells. By measuring the number and width of stripes and correcting for the effects of different proportions of LacZ-positive cells, an estimate of the number of coherent stem cell clones maintaining the tissue can be derived. Analysis at 5 ages demonstrated that the estimated number of coherent stem cell clones is reduced from ~100 at 15 weeks to ~50 at 39 weeks and is then stable at least until 52 weeks. An automated method was developed using image analysis software to analyse these striping patterns. This method produced results that did not differ significantly from the above. The dosage of the transcription factor Pax6 is crucial for normal eye development. In Pax6 heterozygous animals the estimated number of coherent stem cell clones is reduced to ~50 at 15 weeks with no further reduction up to 30 weeks. Mice hemizygous for the PAX77 transgene over-express human PAX6. In PAX77 hemizygous X-inactivation mosaics, estimated clone number was similarly reduced to ~50 with no further decline. Mice heterozygous for both Gli3 and Pax6 have a distinct striping phenotype, highlighted by an increase in coherent clones. When the corneal epithelium is injured the surrounding epithelial cells migrate along the corneal stroma to cover the wound. X-gal staining of healed, centrally wounded X-inactivation eyes reveals that striping patterns are reconstituted during wound healing in ex-vivo culture. In GFP mosaics the healing process can be imaged using time-lapse confocal microscopy. This technique demonstrated that clones remain contiguous throughout their migration. Healing of peripheral wounds was observed to form de-novo whorling patterns, revealing that basal cells in the epithelium can migrate both away from and towards the limbal region

Correction to:A Multi-stage Representation of Cell Proliferation as a Markov Process

The original version of this article unfortunately contained a mistake. It has been corrected with this correction. Equations (9) and (10) were transcribed incorrectly. Equation (9) originally read (Formula Presented.) In fact, we should first have introduced scaled variables m j = Mj ekt/C, for j = 1, . . . , k. Equation (9) should then have read (Formula Presented.).</p

Using approximate Bayesian computation to quantify cell-cell adhesion parameters in a cell migratory process

In this work we implement approximate Bayesian computational methods to improve the design of a wound-healing assay used to quantify cell-cell interactions. This is important as cell-cell interactions, such as adhesion and repulsion, have been shown to play an important role in cell migration. Initially, we demonstrate with a model of an ideal experiment that we are able to identify model parameters for agent motility and adhesion, given we choose appropriate summary statistics. Following this, we replace our model of an ideal experiment with a model representative of a practically realisable experiment. We demonstrate that, given the current (and commonly used) experimental set-up, model parameters cannot be accurately identified using approximate Bayesian computation methods. We compare new experimental designs through simulation, and show more accurate identification of model parameters is possible by expanding the size of the domain upon which the experiment is performed, as opposed to increasing the number of experimental repeats. The results presented in this work therefore describe time and cost-saving alterations for a commonly performed experiment for identifying cell motility parameters. Moreover, the results presented in this work will be of interest to those concerned with performing experiments that allow for the accurate identification of parameters governing cell migratory processes, especially cell migratory processes in which cell-cell adhesion or repulsion are known to play a significant role

Swapping in lattice-based cell migration models

Cell migration is frequently modeled using on-lattice agent-based models (ABMs) that employ the excluded volume interaction. However, cells are also capable of exhibiting more complex cell-cell interactions, such as adhesion, repulsion, pulling, pushing, and swapping. Although the first four of these have already been incorporated into mathematical models for cell migration, swapping has not been well studied in this context. In this paper, we develop an ABM for cell movement in which an active agent can "swap" its position with another agent in its neighborhood with a given swapping probability. We consider a two-species system for which we derive the corresponding macroscopic model and compare it with the average behavior of the ABM. We see good agreement between the ABM and the macroscopic density. We also analyze the movement of agents at an individual level in the single-species as well as two-species scenarios to quantify the effects of swapping on an agent's motility

Swapping in lattice-based cell migration models

Cell migration is frequently modelled using on-lattice agent-based models (ABMs) that employ the excluded volume interaction. However, cells are also capable of exhibiting more complex cell-cell interactions, such as adhesion, repulsion, pulling, pushing and swapping. Although the first four of these have already been incorporated into mathematical models for cell migration, swapping is an interaction that has not been well studied in this context. In this paper, we develop an ABM to describe cell movement where an active agent can `swap' its position with another agent in its neighbourhood with a given swapping probability. We consider single-species and two-species systems. In both cases, we derive the corresponding macroscopic model and compare it with the average behaviour of the ABM. We see good agreement between the ABM and the macroscopic density. We also derive an expression for the cell-level diffusion coefficient in terms of the swapping probability and cell density. We conclude by showing applications of swapping by using the ABM to represent cell movement with proliferation and cell-cell adhesion.Comment: 32 pages, 12 figures, articl