Cell adhesion defines the topology of endocytosis and signaling.

Preferred sites of endocytosis have been observed in various cell types, but whether they occur randomly or are linked to cellular cues is debated. Here, we quantified the sites of endocytosis of transferrin (Tfn) and epidermal growth factor (EGF) in cells whose adhesion geometry was defined by micropatterns. 3D probabilistic density maps revealed that Tfn was enriched in adhesive sites during uptake, whereas EGF endocytosis was restricted to the dorsal cellular surface. This spatial separation was not due to distributions of corresponding receptors but was regulated by uptake mechanisms. Asymmetric uptake of Tfn resulted from the enrichment of clathrin and adaptor protein 2 at adhesive areas. Asymmetry in EGF uptake was strongly dependent on the actin cytoskeleton and led to asymmetry in EGF receptor activation. Mild alteration of actin dynamics abolished asymmetry in EGF uptake and decreased EGF-induced downstream signaling, suggesting that cellular adhesion cues influence signal propagation. We propose that restriction of endocytosis at distinct sites allows cells to sense their environment in an "outside-in" mechanism.

Phase variable genes of Campylobacter jejuni exhibit high mutation rates and specific mutational patterns but mutability is not the major determinant of population structure during host colonization.

Phase variation of surface structures occurs in diverse bacterial species due to stochastic, high frequency, reversible mutations. Multiple genes of Campylobacter jejuni are subject to phase variable gene expression due to mutations in polyC/G tracts. A modal length of nine repeats was detected for polyC/G tracts within C. jejuni genomes. Switching rates for these tracts were measured using chromosomally-located reporter constructs and high rates were observed for cj1139 (G8) and cj0031 (G9). Alteration of the cj1139 tract from G8 to G11 increased mutability 10-fold and changed the mutational pattern from predominantly insertions to mainly deletions. Using a multiplex PCR, major changes were detected in 'on/off' status for some phase variable genes during passage of C. jejuni in chickens. Utilization of observed switching rates in a stochastic, theoretical model of phase variation demonstrated links between mutability and genetic diversity but could not replicate observed population diversity. We propose that modal repeat numbers have evolved in C. jejuni genomes due to molecular drivers associated with the mutational patterns of these polyC/G repeats, rather than by selection for particular switching rates, and that factors other than mutational drift are responsible for generating genetic diversity during host colonization by this bacterial pathogen.

Genome-wide analysis of the POU genes in medaka, focusing on expression in the optic tectum.

The highly conserved POU genes encode homeodomain transcription factors involved in various developmental events, with some, the Brn genes, playing key roles in neurogenesis. We investigated the evolutionary relationships between these genes, by studying the POU gene complement of a model teleost, the medaka (Oryzias latipes). We identified 17 POU genes and carried out a comprehensive in situ hybridization analysis focusing on the optic tectum, a cortical structure of the mesencephalon, in which cell positions and their differentiation states are spatially and temporally correlated. Six POU genes displayed patterned expression in the optic tectum: two genes were expressed in the center of the organ (a zone with differentiated neurons), two in an intermediate zone in which cells exit the cell cycle and two in the peripheral proliferation zone. These results suggest that POU genes may play key roles in both late neurogenesis and in multipotent neural progenitors.

Probabilistic density maps to study the spatial organization of endocytosis.

Despite a large body of publications on endocytosis, only a few studies have focused on its spatial organization. To study how endocytosis is related to distinct cellular sites, we combine cell normalization by the "micropatterning technique" with the quantification of spatial organization by "probabilistic density mapping." Micropatterns of extracellular matrix proteins impose adhesive and non-adhesive areas to cultured cells and allow the control of adhesion geometry, shape, and cell organization. Probabilistic density maps provide a visual summary for 3D localization of the structures of interest and enable the extraction of robust statistics for quantification of cellular organization. Here, we provide a method to analyze and compare the spatial distribution of endocytosed ligands in micropatterned cells. This approach permits to establish the role of cellular adhesion on uptake mechanisms and to address the potential function of predefined sites of endocytosis.

A novel organelle map framework for high-content cell morphology analysis in high throughput.

A screening procedure was developed that takes advantage of the cellular normalization by micropatterning and a novel quantitative organelle mapping approach that allows unbiased and automated cell morphology comparison using black-box statistical testing. Micropatterns of extracellular matrix proteins force cells to adopt a reproducible shape and distribution of intracellular compartments avoiding strong cell-to-cell variation that is a major limitation of classical culture conditions. To detect changes in cell morphology induced by compound treatment, fluorescently labeled intracellular structures from several tens of micropatterned cells were transformed into probabilistic density maps. Then, the similarity or difference between two given density maps was quantified using statistical testing that evaluates differences directly from the data without additional analysis or any subjective decision. The versatility of this organelle mapping approach for different magnifications and its performance for different cell shapes has been assessed. Density-based analysis detected changes in cell morphology due to compound treatment in a small-scale proof-of-principle screen demonstrating its compatibility with high-throughput screening. This novel tool for high-content and high-throughput cellular phenotyping can potentially be used for a wide range of applications from drug screening to careful characterization of cellular processes.