Shift work,circadian gene variants and risk of breast cancer

Circadian (clock) genes have been linked with several functions relevant to cancer, and epidemiologic research has suggested relationships with breast cancer risk for variants in NPAS2, CLOCK, CRY2 and TIMELESS. Increased breast cancer risk has also been observed among shift workers, suggesting potential interactions in relationships of circadian genes with breast cancer. Relationships with breast cancer of 100 SNPs in 14 clock-related genes, as well as potential interactions with shift work history, were investigated in a case–control study (1042 cases, 1051 controls). Odds ratios in an additive genetic model for European-ancestry participants (645 cases, 806 controls) were calculated, using a two-step correction for multiple testing: within each gene through permutation testing (10,000 permutations), and correcting for the false discovery rate across genes. Interactions of genotypes with ethnicity and shift work (<2 years vs ≥2 years) were evaluated individually. Following permutation analysis, two SNPs (rs3816360 in ARNTL and rs11113179 in CRY1) displayed significant associations with breast cancer and one SNP (rs3027188 in PER1) was marginally significant; however, none were significant following adjustment for the false discovery rate. No significant interaction with shift work history was detected. If shift work causes circadian disruption, this was not reflected in associations between clock gene variants and breast cancer risk in this study. Larger studies are needed to assess interactions with longer durations (>30 years) of shift work that have been associated with breast cancer.     

MicroRNA-Mediated Suppression of Oncolytic Adenovirus Replication in Human Liver

MicroRNAs (miRNAs) are important and ubiquitous regulators of gene expression that can suppress their target genes by translational inhibition as well as mRNA destruction. Cell type-specific miRNA expression patterns have been successfully exploited for targeting the expression of experimental and therapeutic gene constructs, for example to reduce pathogenic effects of cancer virotherapy in normal tissues. In order to avoid liver damage associated with systemic or intrahepatic delivery of oncolytic adenoviruses we have introduced the concept of suppressing adenovirus replication in hepatic cells by inserting target elements for the liver-specific miR122 into the viral genome. Here we show using ex vivo cultured tissue specimens that six perfectly complementary miR122 target sites in the 3′ untranslated region of the viral E1A gene are sufficient in the absence of any other genetic modifications to prevent productive replication of serotype 5 adenovirus (Ad5) in normal human liver. This modification did not compromise the replicative capacity of the modified virus in cancer tissue derived from a colon carcinoma liver metastasis or its oncolytic potency in a human lung cancer xenograft mouse model. Unlike wild-type Ad5, the modified virus did not result in increased serum levels of liver enzymes in infected mice. These results provide a strong preclinical proof of concept for the use of miR122 target sites for reducing the risk of liver damage caused by oncolytic adenoviruses, and suggest that ectopic miR122 target elements should be considered as an additional safety measure included in any therapeutic virus or viral vector posing potential hazard to the liver.     

Downregulation of AKT3 Increases Migration and Metastasis in Triple Negative Breast Cancer Cells by Upregulating S100A4

Background

Treatment of breast cancer patients with distant metastases represents one of the biggest challenges in today’s gynecological oncology. Therefore, a better understanding of mechanisms promoting the development of metastases is of paramount importance. The serine/threonine kinase AKT was shown to drive cancer progression and metastasis. However, there is emerging data that single AKT isoforms (i.e. AKT1, AKT2 and AKT3) have different or even opposing functions in the regulation of cancer cell migration in vitro, giving rise to the hypothesis that inhibition of distinct AKT isoforms might have undesirable effects on cancer dissemination in vivo.

Methods

The triple negative breast cancer cell line MDA-MB-231 was used to investigate the functional roles of AKT in migration and metastasis. AKT single and double knockdown cells were generated using isoform specific shRNAs. Migration was analyzed using live cell imaging, chemotaxis and transwell assays. The metastatic potential of AKT isoform knockdown cells was evaluated in a subcutaneous xenograft mouse model in vivo.

Results

Depletion of AKT3, but not AKT1 or AKT2, resulted in increased migration in vitro. This effect was even more prominent in AKT2,3 double knockdown cells. Furthermore, combined downregulation of AKT2 and AKT3, as well as AKT1 and AKT3 significantly increased metastasis formation in vivo. Screening for promigratory proteins revealed that downregulation of AKT3 increases the expression of S100A4 protein. In accordance, depletion of S100A4 by siRNA approach reverses the increased migration induced by knockdown of AKT3.

Conclusions

We demonstrated that knockdown of AKT3 can increase the metastatic potential of triple negative breast cancer cells. Therefore, our results provide a rationale for the development of AKT isoform specific inhibitors.     

Impact of the Chromatin Remodeling Factor CHD1 on Gut Microbiome Composition of Drosophila melanogaster

The composition of the intestinal microbiota of Drosophila has been studied in some detail in recent years. Environmental, developmental and host-specific genetic factors influence microbiome composition in the fly. Our previous work has indicated that intestinal bacterial load can be affected by chromatin-targeted regulatory mechanisms. Here we studied a potential role of the conserved chromatin assembly and remodeling factor CHD1 in the shaping of the gut microbiome in Drosophila melanogaster. Using high-throughput sequencing of 16S rRNA gene amplicons, we found that Chd1 deletion mutant flies exhibit significantly reduced microbial diversity compared to rescued control strains. Specifically, although Acetobacteraceae dominated the microbiota of both Chd1 wild-type and mutant guts, Chd1 mutants were virtually monoassociated with this bacterial family, whereas in control flies other bacterial taxa constituted ~20% of the microbiome. We further show age-linked differences in microbial load and microbiota composition between Chd1 mutant and control flies. Finally, diet supplementation experiments with Lactobacillus plantarum revealed that, in contrast to wild-type flies, Chd1 mutant flies were unable to maintain higher L. plantarum titres over time. Collectively, these data provide evidence that loss of the chromatin remodeler CHD1 has a major impact on the gut microbiome of Drosophila melanogaster.     

Orthotopic Hind Limb Transplantation in the Mouse

In vivo animal model systems, and in particular mouse models, have evolved into powerful and versatile scientific tools indispensable to basic and translational research in the field of transplantation medicine. A vast array of reagents is available exclusively in this setting, including mono- and polyclonal antibodies for both diagnostic and interventional applications. In addition, a vast number of genotyped, inbred, transgenic, and knock out strains allow detailed investigation of the individual contributions of humoral and cellular components to the complex interplay of an immune response and make the mouse the gold standard for immunological research. Vascularized Composite Allotransplantation (VCA) delineates a novel field of transplantation using allografts to replace "like with like" in patients suffering traumatic or congenital tissue loss. This surgical methodological protocol shows the use of a non-suture cuff technique for super-microvascular anastomosis in an orthotopic mouse hind limb transplantation model. The model specifically allows for comparison between established paradigms in solid organ transplantation with a novel form of transplants consisting of various different tissue components. Uniquely, this model allows for the transplantation of a viable vascularized bone marrow compartment and niche that have the potential to exert a beneficial effect on the balance of immune acceptance and rejection. This technique provides a tool to investigate alloantigen recognition and allograft rejection and acceptance, as well as enables the pursuit of functional nerve regeneration studies to further advance this novel field of transplantation.     

phenoSeeder - A Robot System for Automated Handling and Phenotyping of Individual Seeds

The enormous diversity of seed traits is an intriguing feature and critical for the overwhelming success of higher plants. In particular, seed mass is generally regarded to be key for seedling development but is mostly approximated by using scanning methods delivering only two-dimensional data, often termed seed size. However, three-dimensional traits, such as the volume or mass of single seeds, are very rarely determined in routine measurements. Here, we introduce a device named phenoSeeder, which enables the handling and phenotyping of individual seeds of very different sizes. The system consists of a pick-and-place robot and a modular setup of sensors that can be versatilely extended. Basic biometric traits detected for individual seeds are two-dimensional data from projections, three-dimensional data from volumetric measures, and mass, from which seed density is also calculated. Each seed is tracked by an identifier and, after phenotyping, can be planted, sorted, or individually stored for further evaluation or processing (e.g. in routine seed-to-plant tracking pipelines). By investigating seeds of Arabidopsis (Arabidopsis thaliana), rapeseed (Brassica napus), and barley (Hordeum vulgare), we observed that, even for apparently round-shaped seeds of rapeseed, correlations between the projected area and the mass of seeds were much weaker than between volume and mass. This indicates that simple projections may not deliver good proxies for seed mass. Although throughput is limited, we expect that automated seed phenotyping on a single-seed basis can contribute valuable information for applications in a wide range of wild or crop species, including seed classification, seed sorting, and assessment of seed quality.Seeds play a major role in keeping continuity between successive generations (Esau, 1977) and are key for the distribution and evolution (Moles et al., 2005) of higher plants. Fertile seeds carry an embryo and may contain nutrient storage tissues in cotyledons, endosperm, and/or perisperm, supporting germination and seedling development at early developmental stages. Although this is true for all seed plants, various traits of seeds, such as size, shape, weight, and chemical composition, can be very different between plant species or accessions. For example, the Arabidopsis (Arabidopsis thaliana) accession Cape Verde Islands was reported to yield on average 40% fewer seeds than Landsberg erecta, but they are almost twice as heavy (Alonso-Blanco et al., 1999). Considering today’s plant species, single-seed mass may vary over a range of 11.5 orders of magnitude (Moles et al., 2005). Seed mass is under strong genetic control, whereas the total number of seeds of a plant is largely affected by the environment (Paul-Victor and Turnbull, 2009). It has been demonstrated that the size, mass, and shape of Arabidopsis seeds may be regulated by brassinosteroid (Jiang et al., 2013), and it was shown recently that seed size in rice (Oryza sativa) can be influenced by the epiallele Epi-rav6 (Zhang et al., 2015). The ability of plants to switch between small and larger seeds may be understood as an adaptation to novel environments (Igea et al., 2016). However, it is still not fully understood whether, or to what extent, the variability of seed traits within plant species or genotypes has an impact on the development and further performance of a plant.When comparing biometric seed data of different dimensions such as length (one-dimensional), projected area (two-dimensional [2D]), or volume and mass (both three-dimensional [3D]), one can argue that mass is the most relevant parameter as a proxy for the amount of reserves a seed provides for the offspring. This might be true even when considering that the type of reserves, such as proteins, carbohydrates, or lipids (Rolletschek et al., 2015), and also different seed tissues, such as seed coat, embryo, or endosperm, may contribute differently to seed mass (Alonso-Blanco et al., 1999). While seed mass and time to germination (radicle protrusion) do not necessarily correlate (Norden et al., 2009), in particular under greenhouse conditions, higher seed mass may be advantageous for seedling establishment under adverse environmental conditions (Moles et al., 2005). For example, shade-tolerant species showed largely higher seed masses than cogeneric species growing in open habitats, indicating that seedlings under low-light conditions need more reserves than under good light (Salisbury, 1974). Seedlings of wild radish (Raphanus raphanistrum) emerged more likely from heavier seeds than from small seeds under field conditions but not in the greenhouse (Stanton, 1984), and for Arabidopsis, seed mass was reported to be higher in populations growing naturally at higher altitudes taken as a proxy for harsher conditions (Montesinos-Navarro et al., 2011).Seed mass can be measured individually (Stanton, 1984), but it is generally collected as an average value of batches of 50 to 1,000 seeds (Jako et al., 2001; Jofuku et al., 2005; Montesinos-Navarro et al., 2011; Tanabata et al., 2012). Alternatively, 2D scans are analyzed to determine parameters such as seed length, width, area, and perimeter length as a measure for seed size (Tanabata et al., 2012). This approach can be implemented in high-throughput facilities to obtain projected areas of seed grains combined with genome-wide association studies (Yang et al., 2014). Although projected seed area can easily be measured with a common office scanner (Herridge et al., 2011; Tanabata et al., 2012; Moore et al., 2013), it is not necessarily a precise or reliable measure of the true seed size because it may depend on the shape (Alonso-Blanco et al., 1999) and the orientation of a seed at scan (see “Results”). These issues also apply when using 2D projections to calculate length-to-width ratios as a simple shape factor (Tanabata et al., 2012). Projected seed area also has been used to calculate seed mass, assuming a fixed relationship between these parameters (de Jong et al., 2011; Herridge et al., 2011). This may hold with sufficient accuracy when averaging a large number of seeds but might be misleading when considering individual seeds.From a physical point of view, volume should be a much better proxy for mass than 2D traits. Although it has been stated that for 65 species analyzed seed masses can be compared easily with seed volumes (Moles et al., 2005), it is not clear how these seed volumes were determined. Volumes can be assessed using advanced methods such as x-ray computed tomography (CT) on fruits (Stuppy et al., 2003) or synchrotron radiation x-ray tomographic microscopy applied in paleobiological studies (e.g. on fruits and seed; Friis et al., 2014). Nuclear magnetic resonance (NMR) methods are used to measure water uptake in kidney beans (Phaseolus vulgaris) and adzuki beans (Vigna angularis; Kikuchi et al., 2006) or to estimate seed weight and content (Borisjuk et al., 2011; Rolletschek et al., 2015) rather than volumes. To our best knowledge, affordable methods to measure seed volumes directly are not achievable so far. For that reason, we have set up a volume-carving method for 3D seed shape reconstruction that is described briefly here and in more detail in a recent publication (Roussel et al., 2016).While traits derived from scanning procedures can easily be assigned to individual seeds (Herridge et al., 2011), further handling and processing of phenotyped single seeds is not as simple, in particular for tiny ones like those of Arabidopsis. The aim of this work was to develop an automated seed-handling system that can analyze single seeds of very different sizes or shapes, from Arabidopsis seeds up to barley (Hordeum vulgare) seeds or even bigger. The phenoSeeder system is designed to pick and place seeds, to achieve basic morphometric traits (one-dimensional and 2D data from projections, 3D reconstruction data, and mass) of each individual seed, and to store all analyzed seed traits in a database. Another goal is to use phenoSeeder for seed-to-plant tracking approaches and to analyze whether, or which, particular seed traits have an impact on plant development and performance under various environmental conditions. We describe the main features of the phenoSeeder technology and present results obtained with seeds of three accessions of Arabidopsis, rapeseed (Brassica napus), and barley, respectively. When analyzing the data, we focused particularly on correlations between projected seed area, seed volume, and seed mass, with the hypothesis that the respective seed volume may better correlate with mass than the projected area.     

Dieback of riparian alder caused by the Phytophthora alni complex: projected consequences for stream ecosystems

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