No description available.

Thesis (M. Sc.) Uppsala : Sveriges lantbruksuniv.

A lesão central de células gigantes (LCCG) é uma afecção benigna dos maxilares, de comportamento biológico incerto, variando de discreta tumefação assintomática e de crescimento lento à uma forma agressiva, associada a dor, reabsorção radicular e óssea, com destruição cortical. Sua etiologia permanece desconhecida, havendo controvérsias entre processo reacional, neoplásico ou genético. Mutações no gene SH3BP2 foram identificadas em pacientes com querubismo, condição que compartilha várias características clínicas, radiográficas e histopatológicas com a LCCG. Para testar a hipótese de que tais mutações seriam responsáveis por, ou estariam associadas a LCCG e na tentativa de melhor entender a diferenciação microscópica/morfométrica das lesões agressivas e não agressivas, vinte e cinco pacientes portadores de LCCG foram selecionados para o estudo. O DNA foi obtido através do sangue e de espécimes em blocos de parafina, oriundos de biópsias e tratamento cirúrgico. Um estudo microscópico morfométrico foi paralelamente realizado, para avaliar o número de células gigantes e densidade de volume das mesmas nas lesões agressivas e não agressivas. O sequenciamento genético dos treze exons do gene SH3BP2 nos vinte e cinco pacientes estudados evidenciou uma alteração no códon do exon 4 em 10 pacientes. A densidade de volume de células gigantes foi maior nas lesões agressivas quando comparadas às não agressivas (p=0,013). Não houve diferença significante quanto ao número de células gigantes/mm2 em lesões agressivas e não agressivas (p =0,245). / Central giant cell lesion (CGCL) is a benign disease of the jaws, with uncertain behavior, ranging from mild asymptomatic slow-growing swelling to an aggressive form, with pain, radicular and bone resorption and cortical destruction. Its aetiology is still unknown and there is discussion whether it is a reactive, neoplastic or genetic disease. Mutations on gene SH3BP3 were identified in patients with cherubism, which shares several clinical, radiographic and histopathological features with CGCL. In order to test the hypothesis that such mutations would be responsible for or would be related to CGCL and also in order to better understand microscopic morphometric differentiation of the aggressive and non-aggressive lesions, 25 patients with CGCL were selected to this study. DNA was extracted from blood samples and from tissue samples, obtained by biopsy or surgical treatment. Microscopic morphometric assessment was also performed, in order to evaluate the number and the volume density of the giant cells in aggressive and in non-aggressive lesions. Gene sequencing of all 13 exons in gene SH3BP3, performed on each of the 25 patients, showed an alteration in one codon from exon 4, in ten patients. Volume density of giant cells was greater in aggressive lesions than in non-aggressive ones (p=0,013). There was no significant difference on the number of giant cells per mm2 when comparing aggressive and non-aggressive lesions.

Lic.-avh. Uppsala : Sveriges lantbruksuniv., 2004. / Härtill 2 uppsatser.

Diss. (sammanfattning) Uppsala : Sveriges lantbruksuniv., 2008. / Härtill 5 uppsatser.

A lesão central de células gigantes (LCCG) é uma afecção benigna dos maxilares, de comportamento biológico incerto, variando de discreta tumefação assintomática e de crescimento lento à uma forma agressiva, associada a dor, reabsorção radicular e óssea, com destruição cortical. Sua etiologia permanece desconhecida, havendo controvérsias entre processo reacional, neoplásico ou genético. Mutações no gene SH3BP2 foram identificadas em pacientes com querubismo, condição que compartilha várias características clínicas, radiográficas e histopatológicas com a LCCG. Para testar a hipótese de que tais mutações seriam responsáveis por, ou estariam associadas a LCCG e na tentativa de melhor entender a diferenciação microscópica/morfométrica das lesões agressivas e não agressivas, vinte e cinco pacientes portadores de LCCG foram selecionados para o estudo. O DNA foi obtido através do sangue e de espécimes em blocos de parafina, oriundos de biópsias e tratamento cirúrgico. Um estudo microscópico morfométrico foi paralelamente realizado, para avaliar o número de células gigantes e densidade de volume das mesmas nas lesões agressivas e não agressivas. O sequenciamento genético dos treze exons do gene SH3BP2 nos vinte e cinco pacientes estudados evidenciou uma alteração no códon do exon 4 em 10 pacientes. A densidade de volume de células gigantes foi maior nas lesões agressivas quando comparadas às não agressivas (p=0,013). Não houve diferença significante quanto ao número de células gigantes/mm2 em lesões agressivas e não agressivas (p =0,245). / Central giant cell lesion (CGCL) is a benign disease of the jaws, with uncertain behavior, ranging from mild asymptomatic slow-growing swelling to an aggressive form, with pain, radicular and bone resorption and cortical destruction. Its aetiology is still unknown and there is discussion whether it is a reactive, neoplastic or genetic disease. Mutations on gene SH3BP3 were identified in patients with cherubism, which shares several clinical, radiographic and histopathological features with CGCL. In order to test the hypothesis that such mutations would be responsible for or would be related to CGCL and also in order to better understand microscopic morphometric differentiation of the aggressive and non-aggressive lesions, 25 patients with CGCL were selected to this study. DNA was extracted from blood samples and from tissue samples, obtained by biopsy or surgical treatment. Microscopic morphometric assessment was also performed, in order to evaluate the number and the volume density of the giant cells in aggressive and in non-aggressive lesions. Gene sequencing of all 13 exons in gene SH3BP3, performed on each of the 25 patients, showed an alteration in one codon from exon 4, in ten patients. Volume density of giant cells was greater in aggressive lesions than in non-aggressive ones (p=0,013). There was no significant difference on the number of giant cells per mm2 when comparing aggressive and non-aggressive lesions.

Characterizing nanoparticles to be able to understand how they functions in the body is important for development of drugs. Furthermore with increasing number of nanoparticle product the nanotoxicity of nanoparticles is important to understand. This report is a part of the EU-project Nanoclassifier which purpose is to “develop a cost effective, high throughput screening platform for characterization of the bionanointerface and its cell-binding partners”. Single-cycle kinetic was used to determine the number of binding epitopes on polystyrene nanoparticle with transferrin corona. The number of available epitopes describes how active the Nanoparticle will be in the body. For this purpose Single-cycle kinetic methodology was successfully used on nanoparticles. Single-cycle kinetic methodology has great potential to become the standard method for high throughput nanoparticle epitope characterization.

Purpose: To model the time evolution of active caspase-3 protein expression in a healthy lens, and in a lens exposed to UVR-300 nm (UVR-B). To develop an automated method to classify the fluorescent signal of biomarkers in the lens epithelial cells. Methods: Six-week old Sprague-Dawley rats were used. Firstly, expression of active caspase-3 was studied in the lens epithelium of healthy rats. Secondly, rats were unilaterally exposed in vivo to 1 kJ/m2 UVR-B for 15 minutes. At 0.5, 8, 16, and 24 hours after the UVR-B exposure, the exposed and the contralateral non-exposed lenses were removed. Immunohistochemistry was done on three mid-sagittal sections from each lens. The florescent labelling for active caspase-3 in each lens section was counted three times. The time evolution of active caspase-3 expression in response to UVR-B exposure was modelled as a function of cell position in the lens epithelium. An automated objective method was developed to quantify the lens epithelial cells and to classify the fluorescent signal of active caspase-3. Active caspase-3 was selected as a model signal. Results: Active caspase-3 was abundant in the anterior pole of the normal lenses. Spatial distribution of active caspase-3 labelling in the lens epithelium was fitted to a logistic model. The probability of active caspase-3 expression was higher in the UVR-B exposed lenses (95% CI = 0.12 ± 0.01). There was no difference in the expression of active caspase-3 between the 0.5 and the 24 hours groups or between the 8 and the 16 hours groups. A difference was noted, when comparing the 0.5 and 24 hours groups with the 8 and 16 hours groups (Test statistic 7.01, F1;36;0.95= 4.11). Exposure to UVR-B has an impact on the average probability of labelling for active caspase-3 as a function of cell position. The probability of labelling as a function of cell number also varied as a function of time after UVR-B exposure. The automated method counted the lens epithelial cells and estimated the proportion of active caspase-3 labelling in the lens epithelium. Conclusions: Active caspase-3 is present in the healthy lens epithelial cells. Active caspase-3 exhibits higher expression at the anterior pole of the lens and the expression decreases towards the periphery. After UVR-B exposure, the expression of active caspase-3 in the lens epithelium increases with a peak of expression occurring around 16 hours after exposure. The average probability of labelling in the lens epithelium is dependent on both the UVR-B exposure and the time period elapsed after the exposure. The automated method enables objective and fast quantification of lens epithelial cells and the expression of fluorescent signal in the lens cells.

No description available.

yes / Coinciding with advances in whole-slide imaging scanners, it is become essential to automate the conventional image-processing techniques to assist pathologists with some tasks such as mitotic-cells detection. In histopathological images analysing, the mitotic-cells counting is a significant biomarker in the prognosis of the breast cancer grade and its aggressiveness. However, counting task of mitotic-cells is tiresome, tedious and time-consuming due to difficulty distinguishing between mitotic cells and normal cells. To tackle this challenge, several deep learning-based approaches of Computer-Aided Diagnosis (CAD) have been lately advanced to perform counting task of mitotic-cells in the histopathological images. Such CAD systems achieve outstanding performance, hence histopathologists can utilise them as a second-opinion system. However, improvement of CAD systems is an important with the progress of deep learning networks architectures. In this work, we investigate deep YOLO (You Only Look Once) v2 network for mitotic-cells detection on ICPR (International Conference on Pattern Recognition) 2012 dataset of breast cancer histopathology. The obtained results showed that proposed architecture achieves good result of 0.839 F1-measure.