We studied the flocculation mechanism at the molecular level by determining the atomic structures of N-Flo1p and N-Lg-Flo1p in complex with their ligands. We show that they have similar ligand binding mechanisms but distinct carbohydrate specificities and affinities, which are determined by the compactness of the binding site. We characterized the glycans of Flo1p and their role in this binding process and demonstrate that glycan-glycan interactions significantly contribute to the cell-cell adhesion mechanism. Therefore, the extended flocculation mechanism is based on the self-interaction of Flo proteins and this interaction is established in two stages, involving both glycan-glycan and protein-glycan interactions. The crucial role of calcium in both types of interaction was demonstrated: Ca2+ takes part in the binding of the carbohydrate to the protein, and the glycans aggregate only in the presence of Ca2+. These results unify the generally accepted lectin hypothesis with the historically first-proposed “Ca2+-bridge” hypothesis. Additionally, a new role of cell flocculation is demonstrated; i.e., flocculation is linked to cell conjugation and mating, and survival chances consequently increase significantly by spore formation and by introduction of genetic variability. The role of Flo1p in mating was demonstrated by showing that mating efficiency is increased when cells flocculate and by differential transcriptome analysis of flocculating versus nonflocculating cells in a low-shear environment (microgravity). The results show that a multicellular clump (floc) provides a uniquely organized multicellular ultrastructure that provides a suitable microenvironment to induce and perform cell conjugation and mating.

Cell-cell adhesion occurs in a broad spectrum of biological processes, of which yeast flocculation is an area of interest for evolutionary scientists to brewers and winemakers. The flocculation mechanism is based on a lectin-carbohydrate interaction but is not yet fully understood, although the first model dates back to the 1950s. This review will update the current understanding of the complex mechanism behind yeast flocculation. Moreover, modern technologies to measure the forces involved in single carbohydrate-lectin interactions, are discussed. The Flo1 protein has been extensively described as the protein responsible for strong flocculation. Recently, more research has been directed to the detailed analysis of this flocculin. Due to the advances in the field of bioinformatics, more information about Flo1p could be obtained via structurally or functionally related proteins. Here, we review the current knowledge of the Flo1 protein, with a strong emphasis towards its structure.

SummaryThe opportunistic pathogen Candida albicans expresses on its surface Als (Agglutinin like sequence) proteins, which play an important role in the adhesion to host cells and in the development of candidiasis. The binding specificity of these proteins is broad, as they can bind to various mammalian proteins, such as extracellular matrix proteins, and N-and E-cadherins. The N-terminal part of Als proteins constitutes the substrate-specific binding domain and is responsible for attachment to epithelial and endothelial cells. We have used glycan array screening to identify possible glycan receptors for the binding domain of Als1p-N. Under those conditions, Als1p-N binds specifically to fucose-containing glycans, which adds a lectin function to the functional diversity of the Als1 protein. The binding between Als1p-N and BSAfucose glycoconjugate was quantitatively characterized using surface plasmon resonance, which demonstrated a weak millimolar affinity between Als1p-N and fucose. Furthermore, we have also quantified the affinity of Als1p-N to the extracellular matrix proteins proteins fibronectin and laminin, which is situated in the micromolar range. Surface plasmon resonance characterization of Als1p-N-Als1p-N interaction was in the micromolar affinity range.

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The expression of the Flo11 flocculin in Saccharomyces cerevisiae offers the cell a wide range of phenotypes, depending on the strain and the environmental conditions. The most important are pseudohyphae development, invasive growth and flocculation. The mechanism of cellular adhesion mediated by Flo11p is not well understood. Therefore, the N-terminal domain of Flo11p was purified and studied. Although its amino acid sequence shows less similarity with the other flocculins, Flo11p belongs to the flocculin family. However, the N-terminal domain contains the 'Flo11-domain' (PF10181), but not the mannose-binding PA14 domain, which is present in the other flocculins (Flo1p, Flo5p, Flo9p and Flo10p). Structural and binding properties of the N-terminal domain of Flo11p were studied. It is shown that this domain is O-glycosylated and is structurally composed mainly of β-sheets, which is typical for the members of the flocculin family. Furthermore, fluorescence spectroscopy binding studies revealed that N-Flo11p does not bind mannose, which is in contrast to the other Flo proteins. However, surface plasmon resonance analysis showed that N-Flo11p self-interacts and explains the cell-cell interaction capacity of FLO11-expressing cells.

The cytoskeleton is a highly dynamical protein network that plays a central role in numerous cellular physiological processes, and is traditionally divided into three components according to its chemical composition, i.e. actin, tubulin and intermediate filament cytoskeletons. Understanding the cytoskeleton dynamics is of prime importance to unveil mechanisms involved in cell adaptation to any stress type. Fluorescence imaging of cytoskeleton structures allows analyzing the impact of mechanical stimulation in the cytoskeleton, but it also imposes additional challenges in the image processing stage, such as the presence of imaging-related artifacts and heavy blurring introduced by (high-throughput) automated scans. However, although there exists a considerable number of image-based analytical tools to address the image processing and analysis, most of them are unfit to cope with the aforementioned challenges. Filamentous structures in images can be considered as a piecewise composition of quasi-straight segments (at least in some finer or coarser scale). Based on this observation, we propose a three-steps actin filaments extraction methodology: (i) first the input image is decomposed into a ‘cartoon’ part corresponding to the filament structures in the image, and a noise/texture part, (ii) on the ‘cartoon’ image, we apply a multi-scale line detector coupled with a (iii) quasi-straight filaments merging algorithm for fiber extraction. The proposed robust actin filaments image analysis framework allows extracting individual filaments in the presence of noise, artifacts and heavy blurring. Moreover, it provides numerous parameters such as filaments orientation, position and length, useful for further analysis. Cell image decomposition is relatively under-exploited in biological images processing, and our study shows the benefits it provides when addressing such tasks. Experimental validation was conducted using publicly available datasets, and in osteoblasts grown in two different conditions: static (control) and fluid shear stress. The proposed methodology exhibited higher sensitivity values and similar accuracy compared to state-of-the-art methods.

Genomics, transcriptomics, proteomics and fluxomics are powerful omics-technologies that play a major role in today's research. For each of these techniques good sample quality is crucial. Major factors contributing to the quality of a sample is the actual sampling procedure itself and the way the sample is stored directly after sampling. It has already been described that RNAlater can be used to store tissues and cells in a way that the RNA quality and quantity are preserved. In this paper, we demonstrate that quaternary ammonium salts (RNAlater) are also suitable to preserve and store samples from Saccharomyces cerevisiae for later use with the four major omics-technologies. Moreover, it is shown that RNAlater also preserves the cell morphology and the potential to recover growth, permitting microscopic analysis and yeast cell culturing at a later stage.

Living cell microarrays have been combined with microfluidic bioreactors, which provide multiple advantages for multiplex dynamic analyses and high-throughput screening. In the last decade, many developments in this new field have been introduced. The technology has evolved from fixed cell analysis towards living single-cell dynamic systems' biology and high content analyses. The aim of this review is to provide an updated overview of the developments of living cellular microarrays in microfluidic bioreactors. Cell arrays in microfluidic bioreactors constructed with adherent mammalian cells are compared to non-adherent cells (mainly microbial cells). An overview is given on the design and construction of these microfluidic devices with a particular focus on cell patterning techniques. Cell patterning on adhesive micropatterns using techniques such as microcontact printing, microfluidic patterning, dip-pen nanolithography and polymer pen lithography as well as photo-patterning and laser-patterning strategies are discussed. Additionally, developments in mechanical cell patterning methods and robotic cell printing are reviewed. Two-dimensional (2D) as well as recently developed 3D cell arraying are discussed. Finally, cell array microfluidic setups and operation for single-cell types versus cell population variants are illustrated and compared on the basis of some illustrative examples in the field of drug screening, cytotoxicity evaluation, and basic cellular and microbiology research.