Kartongin käyristymiseen vaikuttavat tekijät ja niiden hallinta valmistusprosessissa

Työssä selvitettiin uuden kostutuslaitteen toimivuutta kartongin käyristymisen hallinnassa. Työn tavoitteena oli löytää kostutuslaitteelle energiatehokas ja käyttäjäystävällinen ajotapa. Lisäksi pyrittiin etsimään tärkeimmät kartongin käyristymiseen vaikuttavat prosessimuuttujat ja selvittämään voidaanko niitä hyödyntää käyryyden hallinnassa. Työssä tutkittiin myös kostutuslaitteen käytön vaikutuksia kartongin muihin tärkeisiin ominaisuuksiin, jotta saataisiin selville miten uusi tuote eroaisi referenssituotteesta. Kirjallisuusosassa selvitetään, mitkä tekijät vaikuttavat kartongin käyristymiseen ja miten käyristymistä pystytään hallitsemaan. Kirjallisuusosassa käsitellään myös, miten kartongin käyristymiseen tarvittavat epäsymmetriset mittamuutokset kartongin rakenteessa syntyvät lähtien kosteuden vaikutuksista aina yksittäisten kuitujen tasolta koko kartongin rakenteeseen asti. Kokeellisessa osassa selvitetään Inkeroisten Kartonkitehtaan kartonkikoneella ajettujen koeajojen avulla toimivaa ajotapaa kostutuslaitteelle ja eri prosessimuuttujien vaikutusta käyristymiseen. Koeajoissa tutkittiin epäsymmetrisen kostutuksen, kuivatuksen, sitoutuneisuuden, sekä kuituorientaation vaikutuksia kartongin käyristymiseen. Koeajojen perusteella merkittävimmiksi tekijöiksi kartongin käyristymiseen osoittautuivat epäsymmetrinen kostutus sekä kuivatus. Muiden tekijöiden vaikutus kartongin käyristymiseen jäi vähäiseksi tai liian epäselväksi, jotta olisi voitu osoittaa, että muutos kartongin käyryydessä johtuisi nimenomaan kyseisen tekijän muutoksesta. Verrattaessa uutta tuotetta referenssituotteeseen kartongin pinta- tai lujuusominaisuuksissa ei havaittu tapahtuvan merkittävää muutosta, kun selkäkerroksen pintaliimaus korvattiin sumukostutuksella.

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.

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.