51 research outputs found

    Miten ajatella lukemista?:esseistinen tutkielma lukemisesta esteettisenÀ kokemuksena

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    TiivistelmÀ. TÀssÀ tutkielmassa tarkastelen lukemista esteettisenÀ kokemuksena. KiinnitÀn huomiota siihen, mitÀ lukijan ja luettavan kanssakÀymisessÀ tapahtuu ja miten esteettisen kokemuksen syntyÀ tÀssÀ kanssakÀymisessÀ voisi ymmÀrtÀÀ. Esteettiselle kokemiselle on tyypillistÀ, ettei sitÀ aina pysty kuvaamaan tarkasti. Kokemus tuntuu ja vaikuttaa, mutta ei vÀlttÀmÀttÀ sanallistu. TÀtÀ kokemuksellisuuteen liittyvÀÀ piirrettÀ pyrin valottamaan. Tutkielmani paikantuu osaksi uudempaa lukemisen kokemuksellisuutta ja affektiivisuutta kÀsittelevÀÀ lukemisen tutkimusta, joka on monitieteistÀ. Verrattuna 1900-luvun jÀlkimmÀisellÀ puoliskolla tehtyyn lukemista kÀsittelevÀÀn tutkimukseen 2000-luvun lukemista koskevassa tutkimuksessa on enemmÀn otettu huomioon myös vaikeasti hahmotettavissa olevia lukemisen vaikutuksia, kuten lukijoiden kokemuksia ja kirjallisuuteen liittyviÀ tunneilmiöitÀ. TÀllainen tutkimus tÀydentÀÀ ymmÀrrystÀ lukemisesta keskeisesti arjessa lÀsnÀ olevana ilmiönÀ sekÀ mahdollisuuksista tutkia lukemista. Lukemisen tutkittavuus on toinen tÀmÀn tutkielman keskeisistÀ teemoista. Lukemista esteettisenÀ kokemuksena ja tutkimuskohteena hahmotan seuraavien tutkimuskysymysten kautta: 1. Miten lukemista tulisi lÀhestyÀ tutkimuskohteena, niin ettÀ otetaan huomioon sen kokemuksellinen luonne? ja 2. Millaisena ilmiönÀ lukeminen nÀyttÀytyy, kun sitÀ tarkastellaan esteettisenÀ kokemuksena? Sovellan tutkielmassani lyyriseksi ajatteluksi kutsumaani metodista lÀhestymistapaa. KÀsitÀn lyyrisen ajattelun intuitiiviseksi tiedonmuodostuksen tavaksi, jonka aikana ja avulla tutkimusaihetta kohtaan sÀilyy avoimuus. Sen avulla pyrin ottamaan huomioon lukemisen ja kokemusten luonteen tutkimuskohteena. LyyristÀ ajattelua toteutan esseekirjoittamisen kautta. Olen kirjoittanut tutkielmani sisÀÀn neljÀ lukemista kÀsittelevÀÀ esseetÀ, joissa yhdistÀn toisiinsa taidefilosofista ajattelua ja lukemisen affektiivisuutta kÀsittelevÀÀ kirjallisuutta. Tutkielmani kehystÀmÀt esseet ovat: KanssakÀymistÀ taiteen kanssa eli kuinka ymmÀrtÀÀ esteettistÀ kokemusta, Aistittavuus ja materiaalisuus, YmmÀrryksen rajoilla ja Lukemisesta kommunikointi ja kokemuksen sanoittamisen ongelma

    Frizzled-8 integrates Wnt-11 and transforming growth factor-ÎČ signaling in prostate cancer

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    Wnt-11 promotes cancer cell migration and invasion independently of ÎČ-catenin but the receptors involved remain unknown. Here, we provide evidence that FZD8 is a major Wnt-11 receptor in prostate cancer that integrates Wnt-11 and TGF-ÎČ signals to promote EMT. FZD8 mRNA is upregulated in multiple prostate cancer datasets and in metastatic cancer cell lines in vitro and in vivo. Analysis of patient samples reveals increased levels of FZD8 in cancer, correlating with Wnt-11. FZD8 co-localizes and co-immunoprecipitates with Wnt-11 and potentiates Wnt-11 activation of ATF2-dependent transcription. FZD8 silencing reduces prostate cancer cell migration, invasion, three-dimensional (3D) organotypic cell growth, expression of EMT-related genes, and TGF-ÎČ/Smad-dependent signaling. Mechanistically, FZD8 forms a TGF-ÎČ-regulated complex with TGF-ÎČ receptors that is mediated by the extracellular domains of FZD8 and TGFBR1. Targeting FZD8 may therefore inhibit aberrant activation of both Wnt and TGF-ÎČ signals in prostate cancer

    Revisiting the expression and function of follicle-stimulation hormone receptor in human umbilical vein endothelial cells

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    Expression of follicle-stimulation hormone receptor (FSHR) is confined to gonads and at low levels to some extragonadal tissues like human umbilical vein endothelial cells (HUVEC). FSH-FSHR signaling was shown to promote HUVEC angiogenesis and thereafter suggested to have an influential role in pregnancy. We revisited hereby the expression and functionality of FSHR in HUVECs angiogenesis, and were unable to reproduce the FSHR expression in human umbilical cord, HUVECs or immortalized HUVECs (HUV-ST). Positive controls as granulosa cells and HEK293 cells stably transfected with human FSHR cDNA expressed FSHR signal. In contrast to positive control VEGF, FSH treatment showed no effects on tube formation, nitric oxide production, wound healing or cell proliferation in HUVEC/HUV-ST. Thus, it remains open whether the FSH-FSHR activation has a direct regulatory role in the angiogenesis of HUVECs.</p

    Factors affecting intracellular delivery and release of hydrophilic versus hydrophobic cargo from mesoporous silica nanoparticles on 2D and 3D cell cultures

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    Intracellular drug delivery by mesoporous silica nanoparticles (MSNs) carrying hydrophilic and hydrophobic fluorophores as model drug cargo is demonstrated on 2D cellular and 3D tumor organoid level. Two different MSN designs, chosen on the basis of the characteristics of the loaded cargo, were used: MSNs with a surface-grown poly(ethylene imine), PEI, coating only for hydrophobic cargo and MSNs with lipid bilayers covalently coupled to the PEI layer as a diffusion barrier for hydrophilic cargo. First, the effect of hydrophobicity corresponding to loading degree (hydrophobic cargo) as well as surface charge (hydrophilic cargo) on intracellular drug release was studied on the cellular level. All incorporated agents were able to release to varying degrees from the endosomes into the cytoplasm in a loading degree (hydrophobic) or surface charge (hydrophilic) dependent manner as detected by live cell imaging. When administered to organotypic 3D tumor models, the hydrophilic versus hydrophobic cargo-carrying MSNs showed remarkable differences in labeling efficiency, which in this case also corresponds to drug delivery efficacy in 3D. The obtained results could thus indicate design aspects to be taken into account for the development of efficacious intracellular drug delivery systems, especially in the translation from standard 2D culture to more biologically relevant organotypic 3D cultures.</p

    3D Modeling of Epithelial Tumors-The Synergy between Materials Engineering, 3D Bioprinting, High-Content Imaging, and Nanotechnology

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    The current statistics on cancer show that 90% of all human cancers originate from epithelial cells. Breast and prostate cancer are examples of common tumors of epithelial origin that would benefit from improved drug treatment strategies. About 90% of preclinically approved drugs fail in clinical trials, partially due to the use of too simplified in vitro models and a lack of mimicking the tumor microenvironment in drug efficacy testing. This review focuses on the origin and mechanism of epithelial cancers, followed by experimental models designed to recapitulate the epithelial cancer structure and microenvironment, such as 2D and 3D cell culture models and animal models. A specific focus is put on novel technologies for cell culture of spheroids, organoids, and 3D-printed tissue-like models utilizing biomaterials of natural or synthetic origins. Further emphasis is laid on high-content imaging technologies that are used in the field to visualize in vitro models and their morphology. The associated technological advancements and challenges are also discussed. Finally, the review gives an insight into the potential of exploiting nanotechnological approaches in epithelial cancer research both as tools in tumor modeling and how they can be utilized for the development of nanotherapeutics

    Quantification of Dynamic Morphological Drug Responses in 3D Organotypic Cell Cultures by Automated Image Analysis

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    Glandular epithelial cells differentiate into complex multicellular or acinar structures, when embedded in three-dimensional (3D) extracellular matrix. The spectrum of different multicellular morphologies formed in 3D is a sensitive indicator for the differentiation potential of normal, non-transformed cells compared to different stages of malignant progression. In addition, single cells or cell aggregates may actively invade the matrix, utilizing epithelial, mesenchymal or mixed modes of motility. Dynamic phenotypic changes involved in 3D tumor cell invasion are sensitive to specific small-molecule inhibitors that target the actin cytoskeleton. We have used a panel of inhibitors to demonstrate the power of automated image analysis as a phenotypic or morphometric readout in cell-based assays. We introduce a streamlined stand-alone software solution that supports large-scale high-content screens, based on complex and organotypic cultures. AMIDA (Automated Morphometric Image Data Analysis) allows quantitative measurements of large numbers of images and structures, with a multitude of different spheroid shapes, sizes, and textures. AMIDA supports an automated workflow, and can be combined with quality control and statistical tools for data interpretation and visualization. We have used a representative panel of 12 prostate and breast cancer lines that display a broad spectrum of different spheroid morphologies and modes of invasion, challenged by a library of 19 direct or indirect modulators of the actin cytoskeleton which induce systematic changes in spheroid morphology and differentiation versus invasion. These results were independently validated by 2D proliferation, apoptosis and cell motility assays. We identified three drugs that primarily attenuated the invasion and formation of invasive processes in 3D, without affecting proliferation or apoptosis. Two of these compounds block Rac signalling, one affects cellular cAMP/cGMP accumulation. Our approach supports the growing needs for user-friendly, straightforward solutions that facilitate large-scale, cell-based 3D assays in basic research, drug discovery, and target validation.</p

    Validation of Novel Biomarkers for Prostate Cancer Progression by the Combination of Bioinformatics, Clinical and Functional Studies

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    The identification and validation of biomarkers for clinical applications remains an important issue for improving diagnostics and therapy in many diseases, including prostate cancer. Gene expression profiles are routinely applied to identify diagnostic and predictive biomarkers or novel targets for cancer. However, only few predictive markers identified in silico have also been validated for clinical, functional or mechanistic relevance in disease progression. In this study, we have used a broad, bioinformatics-based approach to identify such biomarkers across a spectrum of progression stages, including normal and tumor-adjacent, premalignant, primary and late stage lesions. Bioinformatics data mining combined with clinical validation of biomarkers by sensitive, quantitative reverse-transcription PCR (qRT-PCR), followed by functional evaluation of candidate genes in disease-relevant processes, such as cancer cell proliferation, motility and invasion. From 300 initial candidates, eight genes were selected for validation by several layers of data mining and filtering. For clinical validation, differential mRNA expression of selected genes was measured by qRT-PCR in 197 clinical prostate tissue samples including normal prostate, compared against histologically benign and cancerous tissues. Based on the qRT-PCR results, significantly different mRNA expression was confirmed in normal prostate versus malignant PCa samples (for all eight genes), but also in cancer-adjacent tissues, even in the absence of detectable cancer cells, thus pointing to the possibility of pronounced field effects in prostate lesions. For the validation of the functional properties of these genes, and to demonstrate their putative relevance for disease-relevant processes, siRNA knock-down studies were performed in both 2D and 3D organotypic cell culture models. Silencing of three genes (DLX1, PLA2G7 and RHOU) in the prostate cancer cell lines PC3 and VCaP by siRNA resulted in marked growth arrest and cytotoxicity, particularly in 3D organotypic cell culture conditions. In addition, silencing of PLA2G7, RHOU, ACSM1, LAMB1 and CACNA1D also resulted in reduced tumor cell invasion in PC3 organoid cultures. For PLA2G7 and RHOU, the effects of siRNA silencing on proliferation and cell-motility could also be confirmed in 2D monolayer cultures. In conclusion, DLX1 and RHOU showed the strongest potential as useful clinical biomarkers for PCa diagnosis, further validated by their functional roles in PCa progression. These candidates may be useful for more reliable identification of relapses or therapy failures prior to the recurrence local or distant metastases

    Inhibition of histone methyltransferase DOT1L silences ER alpha gene and blocks proliferation of antiestrogen-resistant breast cancer cells

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    Breast cancer (BC) resistance to endocrine therapy results from constitutively active or aberrant estrogen receptor alpha (ER alpha) signaling, and ways to block ERa pathway in these tumors are sought after. We identified the H3K79 methyltransferase DOT1L as a novel cofactor of ER alpha in BC cell chromatin, where the two proteins colocalize to regulate estrogen target gene transcription. DOT1L blockade reduces proliferation of hormone-responsive BC cells in vivo and in vitro, consequent to cell cycle arrest and apoptotic cell death, with widespread effects on ER-dependent gene transcription, including ER alpha and FOXA1 gene silencing. Antiestrogen-resistant BC cells respond to DOT1L inhibition also in mouse xenografts, with reduction in ER alpha levels, H3K79 methylation, and tumor growth. These results indicate that DOT1L is an exploitable epigenetic target for treatment of endocrine therapy-resistant ER alpha-positive BCs

    Co-chaperones are limiting in a depleted chaperone network

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    To probe the limiting nodes in the chaperoning network which maintains cellular proteostasis, we expressed a dominant negative mutant of heat shock factor 1 (dnHSF1), the regulator of the cytoplasmic proteotoxic stress response. Microarray analysis of non-stressed dnHSF1 cells showed a two- or more fold decrease in the transcript level of 10 genes, amongst which are the (co-)chaperone genes HSP90AA1, HSPA6, DNAJB1 and HSPB1. Glucocorticoid signaling, which requires the Hsp70 and the Hsp90 folding machines, was severely impaired by dnHSF1, but fully rescued by expression of DNAJA1 or DNAJB1, and partially by ST13. Expression of DNAJB6, DNAJB8, HSPA1A, HSPB1, HSPB8, or STIP1 had no effect while HSP90AA1 even inhibited. PTGES3 (p23) inhibited only in control cells. Our results suggest that the DNAJ co-chaperones in particular become limiting in a depleted chaperoning network. Our results also suggest a difference between the transcriptomes of cells lacking HSF1 and cells expressing dnHSF1
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