CITED2 and NCOR2 in anti-oestrogen resistance and progression of breast cancer

Background:Endocrine therapies of breast cancer are effective but ultimately fail because of the development of treatment resistance. We have previously revealed several genes leading to tamoxifen resistance in vitro by retroviral insertion mutagenesis. To understand the manner in which these genes yield tamoxifen resistance, their effects on global gene expression were studied and those genes resulting in a distinct gene expression profile were further investigated for their clinical relevance.Methods:Gene expression profiles of 69 human breast cancer cell lines that were made tamoxifen resistant through retroviral insertion mutagenesis were obtained using oligonucleotide arrays and analysed with bioinformatic tools. mRNA levels of NCOR2 and CITED2 in oestrogen receptor-positive breast tumours were determined by quantitative RT-PCR. mRNA levels were evaluated for association with metastasis-free survival (MFS) in 620 patients with lymph node-negative primary breast cancer who did not receive systemic adjuvant therapy, and with clinical benefit in 296 patients receiving tamoxifen therapy for recurrent breast cancer.Results:mRNA expression profiles of most tamoxifen-resistant cell lines were strikingly similar, except for the subgroups of cell lines in which NCOR2 or CITED2 were targeted by the retrovirus. Both NCOR2 and CITED2 mRNA levels were associated with MFS, that is, tumour aggressiveness, independently of traditional prognostic factors. In addition, high CITED2 mRNA levels were predictive for a clinical benefit from first-line tamoxifen treatment in patients with advanced disease.Conclusions: Most retrovirally targeted genes yielding tamoxifen resistance in our cell lines do not impose a distinctive expressi

The Mn1 transcription factor acts upstream of Tbx22 and preferentially regulates posterior palate growth in mice

The mammalian secondary palate exhibits morphological, pathological and molecular heterogeneity along the anteroposterior axis. Although the cell proliferation rates are similar in the anterior and posterior regions during palatal outgrowth, previous studies have identified several signaling pathways and transcription factors that specifically regulate the growth of the anterior palate. By contrast, no factor has been shown to preferentially regulate posterior palatal growth. Here, we show that mice lacking the transcription factor Mn1 have defects in posterior but not anterior palatal growth. We show that Mn1 mRNA exhibits differential expression along the anteroposterior axis of the developing secondary palate, with preferential expression in the middle and posterior regions during palatal outgrowth. Extensive analyses of palatal gene expression in wild-type and Mn1(-/-) mutant mice identified Tbx22, the mouse homolog of the human X-linked cleft palate gene, as a putative downstream target of Mn1 transcriptional activation. Tbx22 exhibits a similar pattern of expression with that of Mn1 along the anteroposterior axis of the developing palatal shelves and its expression is specifically downregulated in Mn1(-/-) mutants. Moreover, we show that Mn1 activated reporter gene expression driven by either the human or mouse Tbx22 gene promoters in co-transfected NIH3T3 cells. Overexpression of Mn1 in NIH3T3 cells also increased endogenous Tbx22 mRNA expression in a dose-dependent manner. These data indicate that Mn1 and Tbx22 function in a novel molecular pathway regulating mammalian palate development

Small-molecule inhibitors and probes for ubiquitin- and ubiquitin-like-specific proteases.

There's always a catch. The post-translational modification of proteins with ubiquitin (Ub) or ubiquitin-like (Ubl) modifiers is an important signal in the regulation of a variety of biological processes, such as degradation and regulation of gene expression. Here we report the synthesis of a panel of peptide vinyl sulfones (see scheme) harboring various portions of the Ub C terminus by using a safety-catch linker. Depending on their length, such compounds can efficiently target Ubl-specific proteases. © 2005 Wiley-VCH Verlag GmbH and Co. KGaA

Personality Consistency in Dogs: A Meta-Analysis

Jamie L. Fratkin is with UT Austin; David L. Sinn is with UT Austin and University of Tasmania; Samuel D. Gosling is with UT Austin; Erika A. Patall is with UT Austin.Personality, or consistent individual differences in behavior, is well established in studies of dogs. Such consistency implies predictability of behavior, but some recent research suggests that predictability cannot be assumed. In addition, anecdotally, many dog experts believe that ‘puppy tests’ measuring behavior during the first year of a dog's life are not accurate indicators of subsequent adult behavior. Personality consistency in dogs is an important aspect of human-dog relationships (e.g., when selecting dogs suitable for substance-detection work or placement in a family). Here we perform the first comprehensive meta-analysis of studies reporting estimates of temporal consistency of dog personality. A thorough literature search identified 31 studies suitable for inclusion in our meta-analysis. Overall, we found evidence to suggest substantial consistency (r = 0.43). Furthermore, personality consistency was higher in older dogs, when behavioral assessment intervals were shorter, and when the measurement tool was exactly the same in both assessments. In puppies, aggression and submissiveness were the most consistent dimensions, while responsiveness to training, fearfulness, and sociability were the least consistent dimensions. In adult dogs, there were no dimension-based differences in consistency. There was no difference in personality consistency in dogs tested first as puppies and later as adults (e.g., ‘puppy tests’) versus dogs tested first as puppies and later again as puppies. Finally, there were no differences in consistency between working versus non-working dogs, between behavioral codings versus behavioral ratings, and between aggregate versus single measures. Implications for theory, practice, and future research are discussed.Funding provided by the US Department of Homeland Security, Contract HSHQDC-10-C-00085. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Psycholog

Challenges and opportunities for integrating lake ecosystem modelling approaches

A large number and wide variety of lake ecosystem models have been developed and published during the past four decades. We identify two challenges for making further progress in this field. One such challenge is to avoid developing more models largely following the concept of others (‘reinventing the wheel’). The other challenge is to avoid focusing on only one type of model, while ignoring new and diverse approaches that have become available (‘having tunnel vision’). In this paper, we aim at improving the awareness of existing models and knowledge of concurrent approaches in lake ecosystem modelling, without covering all possible model tools and avenues. First, we present a broad variety of modelling approaches. To illustrate these approaches, we give brief descriptions of rather arbitrarily selected sets of specific models. We deal with static models (steady state and regression models), complex dynamic models (CAEDYM, CE-QUAL-W2, Delft 3D-ECO, LakeMab, LakeWeb, MyLake, PCLake, PROTECH, SALMO), structurally dynamic models and minimal dynamic models. We also discuss a group of approaches that could all be classified as individual based: super-individual models (Piscator, Charisma), physiologically structured models, stage-structured models and trait-based models. We briefly mention genetic algorithms, neural networks, Kalman filters and fuzzy logic. Thereafter, we zoom in, as an in-depth example, on the multi-decadal development and application of the lake ecosystem model PCLake and related models (PCLake Metamodel, Lake Shira Model, IPH-TRIM3D-PCLake). In the discussion, we argue that while the historical development of each approach and model is understandable given its ‘leading principle’, there are many opportunities for combining approaches. We take the point of view that a single ‘right’ approach does not exist and should not be strived for. Instead, multiple modelling approaches, applied concurrently to a given problem, can help develop an integrative view on the functioning of lake ecosystems. We end with a set of specific recommendations that may be of help in the further development of lake ecosystem model