NuRD is recruited to DNA double-strand breaks, where it promotes RNF8/RNF168 histone ubiquitylation and accumulation of DNA repair factors (see also related paper by Larsen et al. in this issue).

Myasthenia gravis (MG) is a severely debilitating autoimmune disease that is due to a decrease in the efficiency of synaptic transmission at neuromuscular synapses. MG is caused by antibodies against postsynaptic proteins, including (i) acetylcholine receptors, the neurotransmitter receptor, (ii) muscle-specific kinase (MuSK), a receptor tyrosine kinase essential for the formation and maintenance of neuromuscular synapses, and (iii)

We have applied two-colour fluorescence in situ hybridization (FISH) to DNA fibers and combined it with digital imaging microscopy for the mapping of large cosmid contigs. The technique was validated using a set of unique plasmids and a cosmid contig both originating from the thyroglobulin (Tg) gene and previously mapped by restriction analysis. The resolution proved to be close to the theoretical lower limit of approximately 1 kb, ranging > or = 400 kb. Subsequently a 400 kb cosmid contig derived from a DMD-YAC was directly mapped by Fiber-FISH. The resulting map is in full agreement with the restriction map. Two-colour Fiber-FISH mapping thus showed to be capable for accurately sizing gaps and overlaps, and to identify chimeric or repeat sequence containing cosmids across a 400 kb region at once. The generated 400 kb 'colour bar-code' was subsequently used to map two DMD deletion breakpoints in patient DNA with an accuracy of 1-2 kb. The results underscore the value of this method for the delineation of chromosomal rearrangements for positional cloning and single patient clinical studies.

The measurement of farm economic sustainability has received intermittent academic interest in recent times, while the conceptual discussions are often quite limited. Moreover, this concept receives more attention at periods of diffi culty for the sector. The measurement of farm viability is an important precondition to enrich these discussions. Therefore, it is necessary to develop more comprehensive and detailed measurement techniques to provide more clarity on viability and vulnerability levels in the sector. This paper refocuses attention on this issue, using a pilot dataset collected at farm level across a range of EU Member States which facilitates the assessment of an additional category of viability, namely that of economically sustainable farms, i.e. farms that are economically vulnerable but which are deemed sustainable by the presence of off-farm income. Differences in viability and economic sustainability across the eight surveyed Member States are shown. The analysis is sensitive to the factors included in the measurement of viability as well as to the threshold income used to defi ne viability. Although this is a pilot study, it enhances our understanding of the factors affecting cross-country evaluation of viability and sustainability, and the policy instruments that could improve viability levels.

Fluorescence in situ hybridization allows the enumeration of chromosomal abnormalities in interphase cell nuclei. This process is called dot counting. To estimate the distribution of chromosomes per cell, a large number of cells have to be analysed, particularly when the frequency of aberrant cells is low. Automation of dot counting is desirable because manual counting is tedious, fatiguing, and time consuming. We have developed a completely automated fluorescence microscope system that counts fluorescent hybridization dots for one probe in interphase cell nuclei. This system works with two fluorescent dyes-one for the DNA hybridization dots and one for the cell nucleus. A fully automated scanning procedure has been used for the image acquisition. After an image is acquired it has to be analysed in order to find the nuclei and to detect the dots. This article focuses upon the dot detection procedure. Three different algorithms are presented. The problems of 'overlapping' dots and split dots are discussed. The automated dot counter has been tested on a number of normal specimens where DAPI was used for the nucleus counter stain and a centromeric probe was used to mark the chromosome 12. The slides contained lymphocytes from cultured blood. The performance of the different algorithms has been evaluated and compared with manually obtained results. The automated counting results approximate the results of manual counting.

No abstract

AimsBeta cells adapt to an increased insulin demand by enhancing insulin secretion via increased beta cell function and/or increased beta cell number. While morphological and functional heterogeneity between individual islets exists, it is unknown whether regional differences in beta cell adaptation occur. Therefore we investigated beta cell adaptation throughout the pancreas in a model of high-fat diet (HFD)-induced insulin resistance in mice.MethodsC57BL/6J mice were fed a HFD to induce insulin resistance, or control diet for 6 weeks. The pancreas was divided in a duodenal (DR), gastric (GR) and splenic (SR) region and taken for either histology or islet isolation. The capacity of untreated islets from the three regions to adapt in an extrapancreatic location was assessed by transplantation under the kidney capsule of streptozotocin-treated mice.ResultsSR islets showed 70% increased beta cell proliferation after HFD, whereas no significant increase was found in DR and GR islets. Furthermore, isolated SR islets showed twofold enhanced glucose-induced insulin secretion after HFD, as compared with DR and GR islets. In contrast, transplantation of islets isolated from the three regions to an extrapancreatic location in diabetic mice led to a similar decrease in hyperglycemia and no difference in beta cell proliferation.ConclusionsHFD-induced insulin resistance leads to topologically heterogeneous beta cell adaptation and is most prominent in the splenic region of the pancreas. This topological heterogeneity in beta cell adaptation appears to result from extrinsic factors present in the islet microenvironment.

No abstract