Vectors for Genetically-Encoded Tags for Electron Microscopy Contrast in Drosophila.

BACKGROUND: One of the most notable recent advances in electron microscopy (EM) was the development of genetically-encoded EM tags, including the fluorescent flavoprotein Mini-SOG (Mini-Singlet Oxygen Generator). Mini-SOG generates good EM contrast, thus providing a viable alternative to technically-demanding methods such as immuno-electron microcopy (immuno-EM). Based on the Mini-SOG technology, in this paper, we describe the construction, validation and optimization of a series of vectors which allow expression of Mini-SOG in the Drosophila melanogaster genetic model system. FINDINGS: We constructed a Mini-SOG tag that has been codon-optimized for expression in Drosophila (DMS tag) using PCR-mediated gene assembly. The photo-oxidation reaction triggered by DMS was then tested using these vectors in Drosophila cell lines. DMS tag did not affect the subcellular localization of the proteins we tested. More importantly, we demonstrated the utility of the DMS tag for EM in Drosophila by showing that it can produce robust photo-oxidation reactions in the presence of blue light and the substrate DAB; the resultant electron micrographs contain electron-dense regions corresponding to the protein of interest. The vectors we generated allow protein tagging at both termini, for constitutive and inducible protein expression, as well as the generation of transgenic lines by P-element transformation. CONCLUSIONS: We demonstrated the feasibility of Mini-SOG tagging in Drosophila. The constructed vectors will no doubt be a useful molecular tool for genetic tagging to facilitate high-resolution localization of proteins in Drosophila by electron microscopy.

Extending Ripley's K-Function to Quantify Aggregation in 2-D Grayscale Images.

In this work, we describe the extension of Ripley's K-function to allow for overlapping events at very high event densities. We show that problematic edge effects introduce significant bias to the function at very high densities and small radii, and propose a simple correction method that successfully restores the function's centralization. Using simulations of homogeneous Poisson distributions of events, as well as simulations of event clustering under different conditions, we investigate various aspects of the function, including its shape-dependence and correspondence between true cluster radius and radius at which the K-function is maximized. Furthermore, we validate the utility of the function in quantifying clustering in 2-D grayscale images using three modalities: (i) Simulations of particle clustering; (ii) Experimental co-expression of soluble and diffuse protein at varying ratios; (iii) Quantifying chromatin clustering in the nuclei of wt and crwn1 crwn2 mutant Arabidopsis plant cells, using a previously-published image dataset. Overall, our work shows that Ripley's K-function is a valid abstract statistical measure whose utility extends beyond the quantification of clustering of non-overlapping events. Potential benefits of this work include the quantification of protein and chromatin aggregation in fluorescent microscopic images. Furthermore, this function has the potential to become one of various abstract texture descriptors that are utilized in computer-assisted diagnostics in anatomic pathology and diagnostic radiology.

Selective G2/M arrest in a p53(Val135)-transformed cell line induced by lithium is mediated through an intricate network of MAPK and ß-catenin signaling pathways.

AIMS: Lithium is a common mood stabilizer to treat bipolar disorder. It has a narrow window of therapeutic action and its mechanism of action and possible side effects are still not fully understood. Lithium is a potent inhibitor of glycogen synthase kinase 3ß (GSK-3ß). Previous studies indicated that lithium can induce cell cycle arrest by stabilization of p53. In order to further elucidate the signaling mechanism of lithium-induced cell cycle arrest and its potential pharmacological effect on p53 transformed cell lines, we studied the effect of lithium on the rat fibroblast cell line R6 and a p53(Val135) transformed cell line R6T2 (hereafter referred to as T2). MAIN METHODS: We monitored the effects of lithium on cell cycle progression by FACS analysis and the activation of MAPK signaling pathways by Western blot using anti-phospho-MAPK antibodies in R6 and T2. KEY FINDINGS: We report here lithium can induce G2/M arrest in T2 independent of ß-catenin signals. Lithium increases phosphorylation of extracellular signal-regulated kinases (ERKs) leading to the up-regulation of p53 levels and subsequent G2/M arrest. Lithium also induced phosphorylation of p38 MAPK, consequently downregulated p53 and alleviated G2/M cell cycle arrest. We further showed the gate-keeping role of p53 in the lithium-induced G2/M arrest in the T2 cell line. SIGNIFICANCE: Our results reveal a novel mechanism underlying the differential response of the transformed and normal R6 to lithium-induced G2/M cell cycle arrest and delineate the multiplicity of signaling pathways dictating the cell fate in responding to cell stress signals.