Regulation of HSF2 and its function in mitosis

The cell is continuously subjected to various forms of external and intrinsic proteindamaging stresses, including hyperthermia, pathophysiological states, as well as cell differentiation and proliferation. Proteindamaging stresses result in denaturation and improper folding of proteins, leading to the formation of toxic aggregates that are detrimental for various pathological conditions, including Alzheimer’s and Huntington’s diseases. In order to maintain protein homeostasis, cells have developed different cytoprotective mechanisms, one of which is the evolutionary well-conserved heat shock response. The heat shock response results in the expression of heat shock proteins (Hsps), which act as molecular chaperones that bind to misfolded proteins, facilitate their refolding and prevent the formation of protein aggregates. Stress-induced expression of Hsps is mediated by a family of transcription factors, the heat shock factors, HSFs. Of the four HSFs found in vertebrates, HSF1-4, HSF1 is the major stress-responsive factor that is required for the induction of the heat shock response. HSF2 cannot alone induce Hsps, but modulates the heat shock response by forming heterotrimers with HSF1. HSFs are not only involved in the heat shock response, but they have also been found to have a function in development, neurodegenerative disorders, cancer, and longevity. Therefore, insight into how HSFs are regulated is important for the understanding of both normal physiological and disease processes. The activity of HSF1 is mainly regulated by intricate post-translational modifications, whereas the activity of HSF2 is concentrationdependent. However, there is only limited understanding of how the abundance of HSF2 is regulated. This study describes two different means of how HSF2 levels are regulated. In the first study it was shown that microRNA miR-18, a member of the miR-17~92 cluster, directly regulates Hsf2 mRNA stability and thus protein levels. HSF2 has earlier been shown to play a profound role in the regulation of male germ cell maturation during the spermatogenesis. The effect on miR-18 on HSF2 was examined in vivo by transfecting intact seminiferous tubules, and it was found that inhibition of miR-18 resulted in increased HSF2 levels and modified expression of the HSF2 targets Ssty2 and Speer4a. HSF2 has earlier been reported to modulate the heat shock response by forming heterotrimers with HSF1. In the second study, it was shown that HSF2 is cleared off the Hsp70 promoter and degraded by the ubiquitinproteasome pathway upon acute stress. By silencing components of the anaphase promoting complex/cyclosome (APC/C), including the co-activators Cdc20 and Cdh1, it was shown that APC/C mediates the heatinduced ubiquitylation of HSF2. Furthermore, down-regulation of Cdc20 was shown to alter the expression of heat shock-responsive genes. Next, we studied if APC/C-Cdc20, which controls cell cycle progression, also regulates HSF2 during the cell cycle. We found that both HSF2 mRNA and protein levels decreased during mitosis in several but not all human cell lines, indicating that HSF2 has a function in mitotic cells. Interestingly, although transcription is globally repressed during mitosis, mainly due to the displacement of RNA polymerase II and transcription factors, including HSF1, from the mitotic chromatin, HSF2 is capable of binding DNA during mitosis. Thus, during mitosis the heat shock response is impaired, leaving mitotic cells vulnerable to proteotoxic stress. However, in HSF2-deficient mitotic cells the Hsp70 promoter is accessible to both HSF1 and RNA polymerase II, allowing for stress-inducible Hsp expression to occur. As a consequence HSF2-deficient mitotic cells have a survival advantage upon acute heat stress. The results, presented in this thesis contribute to the understanding of the regulatory mechanisms of HSF2 and its function in the heat shock response in both interphase and mitotic cells.

Building a Roadmap for a Market Intelligence function in a Global B2B company

Tämän diplomityötutkimuksen tarkoituksena on luoda markkinaälyyn (MI) erikoistunut funktio suurelle, globaalisti toimivalle B2B-yritykselle. Tämän päivän muut-tuvilla markkinoilla, teollisuusyrityksen on oltava markkinalähtöinen selviytyäkseen. Markkinatiedon tehokas hyödyntäminen ei pelkästään luo tietoa markkinoista, vaan tuottaa kilpailukykyistä tietoa ja toimii strategisen päätöksenteon tukena pitkällä aikavälillä. Tämä tutkimus on kvalitatiivinen toimintatutkimus, joka sisältää kirjallisuuskat-sauksen, yritystapaustutkimuksen sekä syväanalyysin yrityksen MI-ympäristöstä. Kirjallisuuskatsaus pitää sisällään teoriaa liittyen markkinaälyyn useassa eri kon-tekstissa, asiakassuhteeseen, sekä prosessinmallintamiseen. Empiiriseen osaa seuraa tutkimusmenetelmäkappale, joka sisältää kaksivaiheisen tutkimuksen mukaan lu-kien 20 päällikkötason haastattelua sekä yhden laaja-alaisen työryhmätapaamisen. Työn tuloksena syntyy kolmivaiheinen tiekartta, jonka tarkoitus on toimia pohjana uuden MI-funktion rakentamiselle Case-yrityksessä. Tuloksen mukaan MI-funktio tulisi sijoittaa yrityksen asiakasrajapintaan sekä tukea yksiköiden välistä integraa-tiota. Markkinaälyn jakaminen yrityksen sisällä vaatii käytäntöjen, tarpeiden ja ta-voitteiden systemaattista viestintää eri organisaatiotasoille, jotta yritys voi edelleen saada asiakkaalta tarpeeseen vastaavaa tietoa. Viestintä yrityksen ja asiakkaan välil-lä on oltava molemminpuolista, jotta tulokset voisivat parantaa asiakassuhdetta. Kun asiakassuhde paranee, yritys voi oppia asiakkaalta arvokasta tietoa, markkinaälyä.

Value added KPI service delivery with quality function deployment: Multiple case study in asset & real estate management

The aim of this study is to investigate value added service concept for an asset and real estate management case company. The initial purpose was to recognize the most value adding key performance indicators (KPIs) information delivered for its customers, real estate investors with value added service. The multiple case study strategy included two focus group interviews with five case interviews in total. Additionally, quality function deployment (QFD) was used in order to form up the service process. The study starts with introduction and methodology explaining the demand for the thesis study. The subsequent chapter presents the theoretical background on real estate management KPIs in four main points of views and quality function deployment from the service development point of view. The chapter also defines research gap for the case study. According to the case study interviews, the most favored KPIs to deliver for the clients are income maturity of lease agreements and leasing activity. These KPIs and quality characteristics are translated into the QFD. In total, the service QFD explains the service planning, process control, and action plan phases.

Effects of Obesity and Weight Loss Following Bariatric Surgery on Brain Function, Structural Integrity and Metabolism

Obesity is one of the key challenges to health care system worldwide and its prevalence is estimated to rise to pandemic proportions. Numerous adverse health effects follow with increasing body weight, including increased risk of hypertension, diabetes, hypercholesterolemia, musculoskeletal pain and cancer. Current evidence suggests that obesity is associated with altered cerebral reward circuit functioning and decreased inhibitory control over appetitive food cues. Furthermore, obesity causes adverse shifts in metabolism and loss of structural integrity within the brain. Prior cross-sectional studies do not allow delineating which of these cerebral changes are recoverable after weight loss. We compared morbidly obese subjects with healthy controls to unravel brain changes associated with obesity. Bariatric surgery was used as an intervention to study which cerebral changes are recoverable after weight loss. In Study I we employed functional magnetic resonance imaging (fMRI) to detect the brain basis of volitional appetite control and its alterations in obesity. In Studies II-III we used diffusion tensor imaging (DTI) and voxel-based morphometry (VBM) to quantify the effects of obesity and the effects of weight loss on structural integrity of the brain. In study IV we used positron emission tomography (PET) with [18F]-FDG in fasting state and during euglycemic hyperinsulinemia to quantify effects of obesity and weight loss on brain glucose uptake. The fMRI experiment revealed that a fronto-parietal network is involved in volitional appetite control. Obese subjects had lower medial frontal and dorsal striatal brain activity during cognitive appetite control and increased functional connectivity within the appetite control circuit. Obese subjects had initially lower grey matter and white matter densities than healthy controls in VBM analysis and loss of integrity in white matter tracts as measured by DTI. They also had initially elevated glucose metabolism under insulin stimulation but not in fasting state. After the weight loss following bariatric surgery, obese individuals’ brain volumes recovered and the insulin-induced increase in glucose metabolism was attenuated. In conclusion, obesity is associated with altered brain function, coupled with loss of structural integrity and elevated glucose metabolism, which are likely signs of adverse health effects to the brain. These changes are reversed by weight loss after bariatric surgery, implicating that weight loss has a causal role on these adverse cerebral changes. Altogether these findings suggest that weight loss also promotes brain health.Key words: brain, obesity, bariatric surgery, appetite control, structural magnetic resonance

From protein structure to function with bioinformatics

It has long been known that amino acids are the building blocks for proteins and govern their folding into specific three-dimensional structures. However, the details of this process are still unknown and represent one of the main problems in structural bioinformatics, which is a highly active research area with the focus on the prediction of three-dimensional structure and its relationship to protein function. The protein structure prediction procedure encompasses several different steps from searches and analyses of sequences and structures, through sequence alignment to the creation of the structural model. Careful evaluation and analysis ultimately results in a hypothetical structure, which can be used to study biological phenomena in, for example, research at the molecular level, biotechnology and especially in drug discovery and development. In this thesis, the structures of five proteins were modeled with templatebased methods, which use proteins with known structures (templates) to model related or structurally similar proteins. The resulting models were an important asset for the interpretation and explanation of biological phenomena, such as amino acids and interaction networks that are essential for the function and/or ligand specificity of the studied proteins. The five proteins represent different case studies with their own challenges like varying template availability, which resulted in a different structure prediction process. This thesis presents the techniques and considerations, which should be taken into account in the modeling procedure to overcome limitations and produce a hypothetical and reliable three-dimensional structure. As each project shows, the reliability is highly dependent on the extensive incorporation of experimental data or known literature and, although experimental verification of in silico results is always desirable to increase the reliability, the presented projects show that also the experimental studies can greatly benefit from structural models. With the help of in silico studies, the experiments can be targeted and precisely designed, thereby saving both money and time. As the programs used in structural bioinformatics are constantly improved and the range of templates increases through structural genomics efforts, the mutual benefits between in silico and experimental studies become even more prominent. Hence, reliable models for protein three-dimensional structures achieved through careful planning and thoughtful executions are, and will continue to be, valuable and indispensable sources for structural information to be combined with functional data.