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Academic literature on the topic 'RCC tissues'

Author: Grafiati
Published: 9 March 2023

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Journal articles on the topic "RCC tissues"

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Abu Haeyeh, Yasmine, Mohammed Ghazal, Ayman El-Baz, and Iman M. Talaat. "Development and Evaluation of a Novel Deep-Learning-Based Framework for the Classification of Renal Histopathology Images." Bioengineering 9, no. 9 (August 30, 2022): 423. http://dx.doi.org/10.3390/bioengineering9090423.

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Kidney cancer has several types, with renal cell carcinoma (RCC) being the most prevalent and severe type, accounting for more than 85% of adult patients. The manual analysis of whole slide images (WSI) of renal tissues is the primary tool for RCC diagnosis and prognosis. However, the manual identification of RCC is time-consuming and prone to inter-subject variability. In this paper, we aim to distinguish between benign tissue and malignant RCC tumors and identify the tumor subtypes to support medical therapy management. We propose a novel multiscale weakly-supervised deep learning approach for RCC subtyping. Our system starts by applying the RGB-histogram specification stain normalization on the whole slide images to eliminate the effect of the color variations on the system performance. Then, we follow the multiple instance learning approach by dividing the input data into multiple overlapping patches to maintain the tissue connectivity. Finally, we train three multiscale convolutional neural networks (CNNs) and apply decision fusion to their predicted results to obtain the final classification decision. Our dataset comprises four classes of renal tissues: non-RCC renal parenchyma, non-RCC fat tissues, clear cell RCC (ccRCC), and clear cell papillary RCC (ccpRCC). The developed system demonstrates a high classification accuracy and sensitivity on the RCC biopsy samples at the slide level. Following a leave-one-subject-out cross-validation approach, the developed RCC subtype classification system achieves an overall classification accuracy of 93.0% ± 4.9%, a sensitivity of 91.3% ± 10.7%, and a high classification specificity of 95.6% ± 5.2%, in distinguishing ccRCC from ccpRCC or non-RCC tissues. Furthermore, our method outperformed the state-of-the-art Resnet-50 model.
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Serth, Jürgen, Inga Peters, Olga Katzendorn, Tu N. Dang, Joana Moog, Zarife Balli, Christel Reese, et al. "Identification of a Novel Renal Metastasis Associated CpG-Based DNA Methylation Signature (RMAMS)." International Journal of Molecular Sciences 23, no. 19 (September 23, 2022): 11190. http://dx.doi.org/10.3390/ijms231911190.

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Approximately 21% of patients with renal cell cancer (RCC) present with synchronous metastatic disease at the time of diagnosis, and metachronous metastatic disease occurs in 20–50% of cases within 5 years. Recent advances in adjuvant treatment of aggressive RCC following surgery suggest that biomarker-based prediction of risk for distant metastasis could improve patient selection. Biometrical analysis of TCGA-KIRC data identified candidate loci in the NK6 homeobox 2 gene (NKX6-2) that are hypermethylated in primary metastatic RCC. Analyses of NKX6-2 DNA methylation in three gene regions including a total of 16 CpG sites in 154 tumor-adjacent normal tissue, 189 RCC, and 194 metastatic tissue samples from 95 metastasized RCC patients revealed highly significant tumor-specific, primary metastatic-specific, and metastatic tissue-specific hypermethylation of NKX6-2. Combined CpG site methylation data for NKX6-2 and metastasis-associated genes (INA, NHLH2, and THBS4) demonstrated similarity between metastatic tissues and metastatic primary RCC tissues. The random forest method and evaluation of an unknown test cohort of tissues using receiver operator characteristic curve analysis revealed that metastatic tissues can be differentiated by a median area under the curve of 0.86 (p = 1.7 × 10−8–7.5 × 10−3) in 1000 random runs. Analysis of variable importance demonstrated an above median contribution for decision-making of at least one CpG site in each of the genes, suggesting superior informativity for sites annotated to NHLH2 and NKX6-2. Thus, DNA methylation of NKX6-2 is associated with the metastatic state of RCC tissues and contributes to a four-gene-based statistical predictor of tumoral and metastatic renal tissues.
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Pramanik, Sandip, Subhayan Sur, Biswabandhu Bankura, Chinmay Kumar Panda, and Dilip Kumar Pal. "Expression of proliferating cell nuclear antigen and Ki-67 in renal cell carcinoma in eastern Indian patients." International Surgery Journal 6, no. 10 (September 26, 2019): 3687. http://dx.doi.org/10.18203/2349-2902.isj20194425.

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Background: Several molecular markers play important role in development and prognosis of renal cell carcinoma (RCC). Proliferating cell nuclear antigen (PCNA) and Ki-67 are such kind of molecular markers which may have prognostic significance in RCC and need to be studied about. Estimation of proliferation index by immunohistochemical expression analysis of PCNA and Ki-67 at different clinical stages of RCC samples and correlations of expression of the genes with different clinicopathological parameters between tumour tissue cells and adjacent normal tissue cells were the objectives.Methods: Thirty two patients of RCC who had been operated at one tertiary care institute of eastern India were taken for the study. Histopathological and immunohistochemistry analysis of PCNA and Ki-67 from tumour tissue and normal tissue were done. Patients who received radiotherapy, chemotherapy etc. before operation and who had benign tumours of the kidney in histopathological examination were excluded from the study.Results: Mean PCNA expression in normal renal tissue is 4.54%; whereas the clear cell RCC, papillary RCC and chromophobe RCC showed 49.81%, 50.75% and 66.50% of mean PCNA expression respectively. Mean expression of Ki-67 in normal tissues was 1.75%. Whereas the clear cell RCC, papillary RCC and chromophobe RCC showed 23.96%, 24.75% and 31% of mean Ki-67 expression respectively. Both molecular markers were positively correlated overall.Conclusions: PCNA and Ki-67 expression is increased in RCC when compared with normal tissues and it increases with Stage of RCC. PCNA expression is positively correlated with Ki-67 in different stages and histopathological groups of RCC.
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von Klot, Christoph A. J., Natalia Dubrowinskaja, Jörg Hennenlotter, Mario W. Kramer, Axel S. Merseburger, Arnulf Stenzl, Inga Peters, Hossein Tezval, Markus A. Kuczyk, and Juergen Serth. "Rho GDP dissociation inhibitor beta ARHGDIB in renal cell cancer." Journal of Clinical Oncology 33, no. 7_suppl (March 1, 2015): 474. http://dx.doi.org/10.1200/jco.2015.33.7_suppl.474.

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474 Background: Rho GDP dissociation inhibitor 2 (ARHGDIB) is an important mediator of cellular signaling. The expression of ARHGDIB correlates with tumor growth and metastasis in a variety of non genitourinary cancers, however the role of ARHGDIB in renal cell cancer (RCC) has not yet been evaluated. Methods: Tissue samples from 106 patients undergoing surgery for RCC were obtained. The expression of ARHGDIB mRNA in normal kidney tissue and in corresponding cancer tissue was analyzed by means of quantitative real time PCR. Differences in mRNA expression levels were assessed using paired two-sample tests. Associations of relative mRNA expression levels and clinicopathological parameters were statistically analyzed using an univariate logistic regression model. Relative mRNA expression levels in healthy renal tissue compared to cancerous tissue from the same kidney was assessed using a paired t-test. Results: When comparing 74 tissues from kidney tumors with adjacent histologically normal appearing paired tissues, mRNA expression of ARHGDIB was significantly higher in the tumor tissue (p < 0.001). Paired analysis did not only show significantly higher mRNA expression levels for ARHGDIB over all RCC but also for the subgroup with clear cell RCC (ccRCC). The mRNA expression of ARHGDIB was also more pronounced in ccRCC when compared with papillary RCC (p < 0.001). When looking at clinicopathological parameters in univariate logistic regression analysis ccRCC was significantly associated with nodal involvement (p = 0.03) and also with tumor grade (p = 0.05). For all RCC there was no association with clinicopathological parameters. A bivariate Cox regression model, adjusted for metastatic status (p = 0.001), tumor diameter (p = 0.043), state of advanced disease (p = 0.030) and lymph node metastasis (p = 0.006) identified ARHGDIB mRNA expression as a candidate positive prognosticator for RFS. Conclusions: Increased ARHGDIB mRNA expression is significantly associated with RCC tissues. Higher relative expression observed within tumor tissues represents a candidate prognosticator for better RFS of patients.
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Liu, Biao, and Liang Zhang. "Radix Actinidia chinensis Suppresses Renal Cell Carcinoma Progression: Network Pharmacology Prediction and In Vivo Experimental Validation." Analytical Cellular Pathology 2022 (July 30, 2022): 1–12. http://dx.doi.org/10.1155/2022/3584445.

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Background. Renal cell carcinoma (RCC) is a frequent disease with limited curative methods. This study is aimed at investigating the role and mechanism of Radix Actinidia chinensis (RAC) on RCC. Methods. The ingredients, target, and crucial pathways of RAC in RCC therapy were analyzed by network pharmacology. Then, an RCC animal model was established by subcutaneously injecting A498 cell suspension to BALB/c nude mice. After 1 week, the mice in the RAC-L/M/H groups were administered with RAC at 5, 10, and 20 mg/kg/d, respectively. The histopathology of the tumor was evaluated. The contents of tumor inflammatory cytokines and serum oxidative stress factors were detected by ELISA. The apoptosis of tumor tissues was assessed by TUNEL staining. The expressions of apoptosis-, proliferate-, autophagy-, and MAPK-related proteins were measured. Results. There were 13 active ingredients, and 20 RCC-relevant targets were selected from RAC; KEGG pathway indicated that these targets were enriched in the PI3K/AKT/mTOR and MAPK pathway. In in vivo experiments, RAC not only obviously damaged tumor cells and decreased the release of inflammatory cytokines and oxidative stress factors but also enhanced the apoptosis of the tumor cell in RCC mice. Besides, the expressions of apoptosis-, proliferate-, autophagy-, PI3K/AKT/mTOR path-, and MAPK path-related proteins were all affected by RAC. Conclusion. RAC attenuated RCC by regulating inflammation response, oxidative stress, apoptosis, proliferation, and autophagy, and its effects were partly linked to the PI3K/AKT/mTOR and MAPK pathway, which indicated that RAC may be a candidate drug for RCC.
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Zhai, Xiaoqiang, Yan Wu, Zhenlong Wang, Dawei Zhao, Hecheng li, Tie Chong, and Jun Zhao. "Long Noncoding RNA LINC01133 Promotes the Malignant Behaviors of Renal Cell Carcinoma by Regulating the miR-30b-5p/Rab3D Axis." Cell Transplantation 29 (January 1, 2020): 096368972096441. http://dx.doi.org/10.1177/0963689720964413.

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Renal cell carcinoma (RCC) is the most common type of kidney cancer with rising incidence. Long noncoding RNA (lncRNA) LINC01133 is a novel lncRNA that is involved in the development of several types of cancers. However, the role of LINC01133 in RCC has not been reported. Thus, in this study, we investigated the functions of LINC01133 in RCC. The qualitative real-time polymerase chain reaction analysis was performed to examine the levels of LINC01133 in RCC tissues and adjacent tissues, as well as RCC cell lines. The results showed that LINC01133 was highly expressed in RCC tissue specimens and cell lines. Downregulation of LINC01133 significantly inhibited the proliferation, migration, and invasion of RCC cells. Further mechanistic investigations proved that LINC01133 directly interacted with microRNA (miR)-30b-5p and regulated the miR-30b-5p expression in RCC cell lines. Moreover, miR-30b-5p exhibited tumor-suppressive activity in RCC cell lines, which was mediated by targeting Ras-related protein Rab-3D (Rab3D). In vivo study showed that LINC01133 knockdown suppressed tumor growth in the nude mice. Taken together, these findings indicated that LINC01133 might be an oncogene in RCC through regulation of the miR-30b-5p/Rab3D axis. Thus, LINC01133 might serve as a potential therapeutic target for the treatment of RCC.
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Su, Yajuan, Wentao Wang, Yongpeng Xu, Wei Liangjun, Yanjie Wang, Changfu Li, and Lichen Teng. "Clinicopathological significance of galectin-1 expression and percentage of galectin-1-expressing T cells in clear-cell renal cell carcinoma." Canadian Urological Association Journal 12, no. 5 (March 25, 2018): E243–9. http://dx.doi.org/10.5489/cuaj.4573.

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Introduction: This study investigates the clinical significance of galectin-1 expression in carcinoma tissues, plasma, and lymphocytes of patients with clear-cell renal cell carcinoma (RCC).Methods: Galectin-1 expression was investigated, using immunohistochemistry, in 91 clear-cell RCC tissue sections, five angioleiolipomas tissue sections, and three oncocytomas tissue sections. As controls, normal tissue sections adjacent to each tumour and six benign renal tumour sections were examined. Plasma galectin- 1 levels as measured by ELISA were compared in 39 patients. Proportions of galectin-1 expressing CD4+ and galectin-1 expressing CD8+ T lymphocytes in peripheral blood of these patients were detected by flow cytometry.Results: The positive expression rate of galetin-1 in 91 clear-cell RCC tissues sections by immunohistochemistry was 87 (95.6%), with weak expression rate of 35.2 (32/91), moderate expression rate of 51.6% (47/91), and strong expression rate of 13.2% (12/91); whereas 25% (2/8) of renal benign tumour sections showed weak galectin-1 expression, 91.2% (83/91) of non-tumor tissues adjacent to carcinomas had negative expression of galectin-1, and another six (75%) renal benign tumour sections had negative galectin-1 expression. Plasma galectin-1 levels between patients with clearcell RCC and with benign tumours were not significantly difference (p>0.05). In patients with clear-cell RCC, we found a significantly higher proportion of galectin-1-expressing CD4+ lymphocytes (p<0.05) and galectin-1-expressing CD8+ lymphocytes (p<0.05) than in patients with benign tumours. Moreover, the level of galectin- 1 expression was positively associated with stage and Fuhrman grade of clear-cell RCC.Conclusions: Our results suggest that high level of galectin-1 expression in clear-cell RCC tissues may be a useful marker for clear-cell RCC. Our findings also reveal a new clinical significance of galectin-1 — that high proportions of galectin-1-expressing CD4+ and CD8+ lymphocytes were positively associated with poor clinicopathological features.
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Haupt, Sonja, Michele Tisdale, Michelle Vincendeau, Mary Anne Clements, David T. Gauthier, Raymond Lance, O. John Semmes, et al. "Human endogenous retrovirus transcription profiles of the kidney and kidney-derived cell lines." Journal of General Virology 92, no. 10 (October 1, 2011): 2356–66. http://dx.doi.org/10.1099/vir.0.031518-0.

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The human genome comprises approximately 8–9 % of human endogenous retroviruses (HERVs) that are transcribed with tissue specificity. However, relatively few organs have been examined in detail for individual differences in HERV transcription pattern, nor have tissue-to-cell culture comparisons been frequently performed. Using an HERV-specific DNA microarray, a core HERV transcription profile was established for the human kidney comparing 10 tissue samples. This core represents HERV groups expressed uniformly or nearly so in non-tumour kidney tissue. The profiles obtained from non-tumour tissues were compared to 10 renal tumour tissues (renal cell carcinoma, RCC) derived from the same individuals and additionally, to 22 RCC cell lines. No RCC cell line or tumour-specific differences were observed, suggesting that HERV transcription is not altered in RCC. However, when comparing tissue transcription to cell line transcription, there were consistent differences. The differences were irrespective of cancer state and included cell lines derived from non-tumour kidney tissue, suggesting that a specific alteration of HERV transcription occurs when establishing cell lines. In contrast to previous publications, all known HERV-derived tumour antigens, including those identified in RCC, were expressed both in multiple RCC cell lines and several non-tumour tissue-derived cell lines, a result that contrasts with findings from patient samples. The results establish the core kidney transcription pattern of HERVs and reveal differences between cell culture lines and tissue samples.
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Ye, Xueting, Jing Xie, Hang Huang, and Zhexian Deng. "Knockdown of MAGEA6 Activates AMP-Activated Protein Kinase (AMPK) Signaling to Inhibit Human Renal Cell Carcinoma Cells." Cellular Physiology and Biochemistry 45, no. 3 (2018): 1205–18. http://dx.doi.org/10.1159/000487452.

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Background/Aims: Melanoma antigen A6 (MAGEA6) is a cancer-specific ubiquitin ligase of AMP-activated protein kinase (AMPK). The current study tested MAGEA6 expression and potential function in renal cell carcinoma (RCC). Methods: MAGEA6 and AMPK expression in human RCC tissues and RCC cells were tested by Western blotting assay and qRT-PCR assay. shRNA method was applied to knockdown MAGEA6 in human RCC cells. Cell survival and proliferation were tested by MTT assay and BrdU ELISA assay, respectively. Cell apoptosis was tested by the TUNEL assay and single strand DNA ELISA assay. The 786-O xenograft in nude mouse model was established to test RCC cell growth in vivo. Results: MAGEA6 is specifically expressed in RCC tissues as well as in the established (786-O and A498) and primary human RCC cells. MAGEA6 expression is correlated with AMPKα1 downregulation in RCC tissues and cells. It is not detected in normal renal tissues nor in the HK-2 renal epithelial cells. MAGEA6 knockdown by targeted-shRNA induced AMPK stabilization and activation, which led to mTOR complex 1 (mTORC1) in-activation and RCC cell death/apoptosis. AMPK inhibition, by AMPKα1 shRNA or the dominant negative AMPKα1 (T172A), almost reversed MAGEA6 knockdown-induced RCC cell apoptosis. Conversely, expression of the constitutive-active AMPKα1 (T172D) mimicked the actions by MAGEA6 shRNA. In vivo, MAGEA6 shRNA-bearing 786-O tumors grew significantly slower in nude mice than the control tumors. AMPKα1 stabilization and activation as well as mTORC1 in-activation were detected in MAGEA6 shRNA tumor tissues. Conclusion: MAGEA6 knockdown inhibits human RCC cells via activating AMPK signaling.
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Mohammed, Maisa Hashem, and Nagwa Abd El-Sadek Ahmed. "Significance of Immunohistochemical Expression of Survivin in Renal Cell Carcinoma." Asian Pacific Journal of Cancer Biology 6, no. 3 (August 12, 2021): 201–5. http://dx.doi.org/10.31557/apjcb.2021.6.3.201-205.

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Background: Evasion of apoptosis is an essential alteration for cellular genetic mutation. Survivin is a member of inhibitor of apoptosis protein (IAP) family. Under normal conditions, Survivin is expressed in embryonic and fetal tissues and markedly diminished in mature, differentiated adult tissues. Survivin was found to be re-expressed in multiple solid and hematological human malignant neoplasms. The purpose of this study was to evaluate the expression of Survivin in renal cell carcinoma (RCC), and to find statistically significant associations between Survivin and the tested Clinicopathological parameters.Methods: 39 patients with RCCs who underwent nephrectomy were included in the study. From each RCC specimen, two tissue sections were obtained; one was stained by H&E stain to determine both RCC phenotype and Fuhrman’s nuclear grades. The second tissue section was immunohistochemically stained by anti-human Survivin antibody. Results: The study revealed statistically significant associations between Survivin expression in RCC specimens and RCC histological types (p =0.002), high tumor grade (p< 0.001) and advanced tumor stage (p< 0.001). Conclusion: The study revealed that Survivin is positively correlated to poorly differentiated RCCs with high Fuhrman’s nuclear grade and advanced tumor stage.
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Dissertations / Theses on the topic "RCC tissues"

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ZIPETO, MARIA ANNA. "Molecular and functional characterization of cells with stem properties isolated by sphere forming assay from human renal cell carcinoma tissues and cell lines." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/51171.

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Cancer stem cells (CSC) are a rare subset of malignant cells that constitute a reservoir of tumor‐initiating cells with the ability to both self‐renew and differentiate into bulk tumors. As well as for other tumors, also in Renal Cell Carcinoma (RCC) the identification of CSCs might represent a step toward the development of therapies able to totally eradicate the disease. In the present study, cells with stem properties were identified from cultures of clonal tumor spheres obtained from RCC tissues after standardization of sphere‐forming assay on RCC 786‐0 cell line. Spheres obtained from the cell line and from RCC tissues were similar in term of phenotypic features, growth kinetics and sphere forming efficiency (SFE). These spheres exhibited the expression of pluripotency genes as well as the activation of self‐renewal pathways, when compared to the cultures representative of the bulk tumor population. Moreover they overexpressed the adenosine deaminase acting on RNA (ADAR1 and ADAR2) that might be involved in the regulation of self‐renewal as demonstrated by the increase of SFE after overexpression in 786‐0 cell line. When injected in immunocompromised mice, cells from spheres had a higher ability to give rise to tumor. Moreover tumor spheres from RCC tissues, as well as from 786‐0, showed a heterogeneous composition, with different cell subpopulations, displaying diverse self‐renewal ability. These subpopulations were identified on the basis of the different intensity of fluorescence of the PKH26 dye, able to discriminate quiescent cells within a proliferating population. The ability to self‐renew of the different PKH populations depended on the grading of the tumor. Although not distinguishing CSCs from the bulk tumor, surface marker expression in combination with PKH assay further confirmed the heterogeneity of cells within the spheres and allowed to identify an enrichment of CD105+ and CD133+CD105+ cells in the self‐renewing PKHhigh population. In this study, by characterizing for the first time molecular pathways, such as Notch, JAK/STAT and RNA editing, that distinguish spheres, enriched in putative CSCs, from the bulk tumor, represented by primary cell cultures, we provided possible targets for new therapies that need to be further characterized in order to discern their role. Moreover, the combination of PKH assay and surface markers might be helpful for a better definition of the CSC population within RCC.
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Behtaj, Sanaz. "Design and application of bio-absorbable scaffolds for tissue-engineering and retinal degeneration therapeutics." Thesis, Griffith University, 2021. http://hdl.handle.net/10072/403255.

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Glaucoma, a characteristic type of optic nerve degeneration in the posterior pole of the eye, is a common cause of irreversible vision loss and the second leading cause of blindness worldwide. As an optic neuropathy, glaucoma is identified by increasing degeneration of retinal ganglion cells (RGCs), with consequential vision loss. Current treatments only postpone the development of retinal degeneration, and there are as yet no treatments available for this disability. Recent findings in ocular regeneration have opened promising avenues to apply stem cell-based modalities to restore vision in progressive optic neuropathies. As such, the stem cell-based RGC replacement therapy, as a promising treatment of glaucoma, could be facilitated by using tissue-engineered scaffolds that provide a supportive structure. An appropriate selection of materials is a fundamental consideration in fabricating these scaffolds. My study investigates the structure, composition and properties of three most commonly used biopolymer materials blended with poly(ε-caprolactone) (PCL) at 2:1 (wt.%) ratio, namely, poly(glycerol sebacate) (PGS)/PCL, polylactic-co-glycolic acid (PLGA)/PCL, poly-l-lactide (PLLA)/PCL and pure PCL as carrier vehicles for human embryonic stem cell derived retinal progenitor cell (hESC-RPC) attachment and proliferation. The physicochemical properties of PGS/PCL, PLLA/PCL, PLGA/PCL and pure PCL fibrous scaffolds, fabricated under the identical electrospinning conditions, were analysed employing scanning electron microscopy, contact angle analysis, Raman spectroscopy, electrical and ionic conductivity measurements, and supplemented by an in-vitro hESC-RPC adhesion and proliferation studies. My findings have shown that PGS/PCL scaffolds promote hESC-RPC attachment and growth more favourably compared to other polymeric blends and pure PCL, owing to a combination of advantageous surface and bulk properties, overall demonstrating a potential for PGS/PCL blend to become a suitable vehicle for hESC-RPC delivery in a possible future clinical therapy for the treatment of retinal degenerative disorders. Also, the study investigated a mean to differentiate hESC-RPCs into RGCs and developed a novel and a straightforward approach for hESC-RPC-to-RGC differentiation on PCL/PGS fibrous scaffolds, which displayed the most advantageous properties for hESC-RPC attachment and proliferation. My results revealed that PCL/PGS scaffolds have indeed effectively promoted the differentiation of hESC-RPCs into RGCs and supported the orientated elongation of RGCs’ neurites, further validating the PGS/PCL scaffold as an appropriate supportive vehicle for RGC proliferation. We trust that my study aids to the knowledge on the selection of biomaterials according to their physicochemical properties and structural characteristics for hESC-RPC cultivation and also provides valuable practical knowledge on the application of the tissue-engineered biomaterial structures for RGC cultivation as a part of clinical therapy in possible future successful treatments of glaucoma.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Eng & Built Env
Science, Environment, Engineering and Technology
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Hendesi, Honey. "CONNECTIVE TISSUE GROWTH FACTOR (CTGF/CCN2) REGULATES OSTEOBLAST CYTOSKELETAL REORGANIZATION AND MOTILITY AND ENHANCES DIFFERENTIATION VIA BINDING TO INTEGRIN RECEPTORS AND ACTIVATION OF DOWNSTREAM SIGNALINGS." Diss., Temple University Libraries, 2014. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/263674.

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Cell Biology
Ph.D.
Connective Tissue Growth Factor (CTGF) is a matricellular protein that has been shown to mediate cell adhesion, and as a consequence, it regulates cell proliferation, migration, differentiation and gene transcription. Although previous in vivo and in vitro studies supported the anabolic role of CTGF in skeletogenesis, to date mechanisms of this effect remain unknown. So far, no specific receptor has been identified for CTGF, although previous studies have shown that integrins can serve as functional signaling receptors for CTGF. The CTGF-integrin interaction initiates intracellular signaling cascades that ultimately regulate cell cytoskeleton reorganization, gene transcription and cell function. To study the effect of CTGF on osteoblasts, we first conducted adhesion assays using the MC3T3-E1 osteoblastic cell line. We confirmed that osteoblasts adhere to rCTGF in a concentration-dependent manner and we showed this adhesion has characteristics of integrin mediated adhesions. Next, we used an array of blocking antibodies directed against the individual alpha and beta; integrin subunits that are known to be expressed in osteoblasts. Significant decreases in cell adhesion were observed upon treatment with anti-alpha-v or anti-beta1 blocking antibodies. Subsequent coimmunoprecipitation analyses demonstrated that CTGF interacts with alpha-v and beta1 integrins in osteoblasts. Furthermore, we showed that the specificity of this CTGF-integrin interaction occurs in the C-terminal domain (fourth module) of CTGF. The immunefluorescence staining of cells cultured on substrates of rCTGF, fibronectin (positive control) or BSA (negative control) demonstrated that osteoblast adhesion to rCTGF results in actin cytoskeleton reorganization, focal adhesion formation, enhanced cell spreading and Rac activation. These series of events are necessary for proper cell-matrix interaction and integrins' downstream signaling initiation. Next, through alkaline phosphatase (ALP) staining and activity assays, as well as Alizarin red staining, we demonstrated that osteoblast attachment to CTGF matrix enhances cell maturation, bone nodule formation and matrix mineralization. To investigate whether the effect of CTGF on osteoblast differentiation involves activation of specific signaling molecules, we performed Western blot and chromatin immunoprecipitation (ChIP) assays. Osteoblasts cultured on rCTGF expressed higher levels of both total and phosphorylated forms of focal adhesion kinase (FAK) and extracellular signal-regulated kinase (ERK) compared to the cells cultured on BSA. In addition, these osteoblasts showed an increase in runt-related transcription factor 2 (Runx2) binding to the osteocalcin gene promoter compared to the negative control. These experiments confirmed CTGF's effect on enhancing osteoblast differentiation through regulation of important signaling molecules. In another series of experiments, we used primary osteoblasts isolated from CTGF KO mice, their WT littermates, or WT cells infected to overexpress (OE) CTGF to study the effect of different levels of endogenous CTGF on osteoblast cytoskeleton reorganization and motility. Our assays showed enhanced cell adhesion, spreading and Rac expression in CTGF OE osteoblasts, while in CTGF KO osteoblasts, cell adhesion, spreading and Rac expression were significantly decreased. In contrast, CTGF OE osteoblasts that showed high adhesion and spreading, exhibited diminished cell motility and low levels of RhoA expression, while KO cells migrated quickly and expressed high levels of RhoA. Together, these experiments establish CTGF as an adhesion protein for osteoblasts; they demonstrate that the alpha-v beta1 integrin is a functional signaling receptor for CTGF; they confirm that osteoblast differentiation is enhanced when cultured on CTGF matrix through activation of regulatory signaling molecules; and finally, these experiments establish a role for CTGF in the regulation of small RhoGTPases expression, which in turn implies a significant role for CTGF in cell cytoskeleton reorganization and motility.
Temple University--Theses
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Peterson, Magnus. "Chronic Tennis Elbow : Aspects on Pathogenesis and Treatment in a Soft Tissue Pain Condition." Doctoral thesis, Uppsala universitet, Allmänmedicin och klinisk epidemiologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-160051.

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Objectives: To study the treatment practice of chronic tennis elbow (TE) among general practitioners (GPs) and physiotherapists (PTs), the effects of a simple, graded home exercise regime versus expectation, the effects of eccentric versus concentric exercise, and the involvement of the substance P – NK1 receptor system in the peripheral, painful tissue of chronic TE patients by positron emission tomography (PET). Materials and methods: A postal survey regarding therapeutic methods used in patients with chronic TE was sent to 129 GPs and 77 PTs, 81 subjects with chronic TE were randomly and blindly assigned to either an exercise group or a wait list group, 120 subjects were randomly assigned to either eccentric or concentric exercise and ten subjects were examined by PET and the NK1 specific radioligand [11C]GR205171. Results: High proportions of GPs and PTs used ergonomic counselling and stretching in the treatment of chronic TE. The majority of GPs prescribed passive anti-inflammatory measures such as sick leave and anti-inflammatory medication. Many PTs prescribed dynamic, particularly eccentric, exercise. Graded dynamic exercise according to a simple low-cost protocol, has better effect on pain than a wait-and-see attitude. Adjusted for outcome affecting variables, eccentric graded exercise has quicker effect than concentric graded exercise. During PET scan with the NK1 specific radioligand [11C]GR205171, voxel volume and signal intensity of this volume was significantly higher in the affected than the unaffected arm in subjects with unilateral chronic TE. Conclusions: GPs and PTs used many treatments to a similar extent but differed regarding the use of exercise. Chronic TE responds favourably to graded dynamic exercise aimed specifically at the painful tissue. The exercise should stress the eccentric work phase. The substance P – NK1 receptor system seems to play a part in the peripheral, painful tissue of a chronic, soft tissue pain condition such as chronic TE.
Epi-X
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Fleigel, Jeffrey Dee. "Osteogenic effects of calcium-phosphatidylserine-phosphate complex modification of poly (epsilon-caprolactone) scaffolds a thesis /." San Antonio : UTHSC, 2008. http://learningobjects.library.uthscsa.edu/cdm4/item_viewer.php?CISOROOT=/theses&CISOPTR=23&CISOBOX=1&REC=13.

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Masson, Christel. "Caractérisation de l'expression du gène KIN17 humain lors de la réponse cellulaire aux agents génotoxiques et dans certains tissus tumoraux." Paris 11, 2001. http://www.theses.fr/2001PA11T029.

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Maintenir l'intégrité du matériel génétique de toute cellule vivante face à des altérations d'origine endogène ou exogène, est un problème crucial auquel tout organisme est confronté. Les lésions induites dans l'ADN peuvent interférer avec des processus tels que la réplication et la transcription et entraîner une désorganisation de l'activité cellulaire pouvant conduire à la mort de la cellule. J'ai caractérisé l'expression du gène humain KIN17 après traitement par différents agents génotoxiques. La protéine KIN17 possède une région centrale homologue à un domaine de fixation à l'ADN dans la partie C-terminale de la protéine RecA d'E. Coli. RecA est essentielle à la recombinaison génétique, à la réponse cellulaire aux rayonnements et à la mutagenèse. Mes résultats indiquent une participation active de la protéine KIN17 dans la réponse aux dommages de l'ADN produit par les ultraviolets C (UVC) et les rayonnements gamma (γ). Les cinétiques d'expression du gène KIN17 sont différentes selon la nature de l'agent génotoxique. Compte tenude mes résultats, j'ai cherché à identifier les mécanismes responsables de cette réponse au stress génotoxique en utilisant des lignées cellulaires mutées pour le gène p53 et des cellules exprimant un mutant dominant négatif du facteur de transcription ATF2 : J'ai constaté que l'augmentation de l'expression du gène KIN17 était indépendante de p53 après irradiation γ et UVC. En revanche, ATF2 semble contrôler l’expression du gène KIN17 après γ. L'analyse de l'expression du gène KIN17 dans des cellules déficientes dans la réparation par excision de l'ADN, indique qu'une réparation efficace est indispensable à l'augmentation transitoire de l'expression du gène KIN17 après irradiation aux UVC. Toutes ces observations montrent que le gène KIN17 intervient dans une voie de signalisation qui pourrait aider à contrebalancer les effets délétères des agents génotoxiques. Des résultats préliminaires sur des hépatocarcinomes humains montrent une augmentation de l'expression du gène KIN17 lors de la progression tumorale
All organisms are confronted by the crucial problem of protecting the integrity of the genetic material in their cells against alterations provoked by endogenous or exogenous agents. DNA damage may interfere with essential processes such as replication and transcription, thus leading to metabolic disruption or to cell death. Ihave characterized the expression profile of KIN17 gene after treatment with different genotoxic agents. KIN17 protein possesses a core region homologous to the DNA-binding domain located in the C-terminal part of the E. Coli RecA protein. RecA plays an essential role in the cellular response to radiation, in recombination and in mutagenesis. My results indicate that the human kin17 protein actively participates in the cellular response to the DNA damage produced by UVC- and γ-irradiation. The kinetics of KIN17 gene expression differs according to the nature of the genotoxic agent. Considering these results, I tried to identify the mechanisms responsible for this response to genotoxic stress by using cells mutated in the p53 gene or cells expressing a dominant negative mutant for ATF2. I noticed that the increase in KIN17 gene expression was independent of p53. The transcription factor ATF2, on the other hand, appeared to be involved in the control of KIN17 gene expression after γ-irradiation. Using cells deficient for nucleotide excision repair (NER), I have demonstrated that an active NER is necessary for the transient increase in KIN17 gene expression after UVC-irradiation. Taken together, these data indicate the Participation of KIN17 gene in a signalling pathway that may help to counterbalance the deleterious effects of genotoxic agents. Prelirninary results on human hepatocarcinoma show increased expression levels of KIN17 gene during tumoral progression
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Bhagavatheeshwaran, Govind. "Magnetic Resonance Imaging of the Rat Retina." Worcester, Mass. : Worcester Polytechnic Institute, 2008. http://www.wpi.edu/Pubs/ETD/Available/etd-041608-144837/.

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Thesis (Ph.D.)--Worcester Polytechnic Institute.
Keywords: Mn54-autoradiography, rat retina, manganese enchanced mri, rcs rat, magnetic resonance imaging, retinal degeneration, high-resolution mri, blood volume imaging Includes bibliographical references (leaves 211-226).
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Sabbari-Erfani, Nooshin [Verfasser]. "Tissue-Faktor-induzierte Zellmigration : Bedeutung der GTPase Rac / Nooshin Sabbari-Erfani." 2005. http://d-nb.info/977860779/34.

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Topp, Justin David. "Characterizations of alsin and its role in IGF-1-mediated neuronal survival." 2005. http://edissertations.library.swmed.edu/pdf/ToppJ042905/ToppJustin.pdf.

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Books on the topic "RCC tissues"

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(Editor), John Firth, and Royal College of Physicians (Editor), eds. Rcp Mrcp Masterclass Complete Set (Medical Masterclass). Blackwell Publishers, 2001.

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Book chapters on the topic "RCC tissues"

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Anchlia, Sonal. "Temporomandibular Joint Ankylosis." In Oral and Maxillofacial Surgery for the Clinician, 1401–34. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-1346-6_65.

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AbstractThe purpose of this chapter is to inculcate a newer, deeper understanding of TMJ Ankylosis– both from the pathological as well as the clinical view point. Newer classifications may now determine surgical procedures. Interpositional materials may not be just soft tissues interposed between the cut ends, but also hard tissues forming the new Ramus Condyle Unit (RCU). Facial deformity may be recognized to be as important as inability to open the mouth; more so, if accompanied by Obstructive sleep apnea (OSA). Multi-staged treatment plans of release first followed by asymmetry correction may be replaced by single staged joint replacement & total facial aesthetic as well as functional rehabilitation. Finally, the importance of unfavorable events in TMJ Ankylosis surgery may be recognized, which would lead to better results in terms of treatment goals, i.e. to restore joint function, improve facial appearance & airway issues, correct malocclusion & re-establish harmony between the TMJ, the face and the teeth.
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Bahamon, Brittany, and Sabina Signoretti. "Tissue Biomarkers in Renal Cell Carcinoma: Intermediate Endpoints in the Selection of Targeted Agents for RCC." In Renal Cell Carcinoma, 69–89. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2400-0_4.

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Fang, Zhenghan, Yong Chen, Dong Nie, Weili Lin, and Dinggang Shen. "RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting." In Lecture Notes in Computer Science, 101–9. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32248-9_12.

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Haldorai, Anandakumar, and Arulmurugan Ramu. "An Intelligent-Based Wavelet Classifier for Accurate Prediction of Breast Cancer." In Research Anthology on Medical Informatics in Breast and Cervical Cancer, 739–53. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-7136-4.ch039.

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The detection of cancer in the breast is done using mammograms (x-ray images). The authors propose a CAD framework for distinguishing little changes in mammogram which may demonstrate malignancies which are too little to be felt either by the lady herself or by a radiologist. In this chapter, they build up a framework for analysis, visualization, and prediction of cancer in breast tissue by utilizing Intelligent based wavelet classifier. Intelligent-based wavelet classifier is a new approach constructed using texture value and wavelet neural network. The proposed framework is applied to the genuine clinical database of 160 mammograms gathered from mammogram screening focuses. The execution of the CAD framework is examined utilizing ROC curve. This will help the specialists in determination of the breast tissues either cancerous or noncancerous in an accurate way.
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Haldorai, Anandakumar, and Arulmurugan Ramu. "An Intelligent-Based Wavelet Classifier for Accurate Prediction of Breast Cancer." In Advances in Multimedia and Interactive Technologies, 306–19. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5246-8.ch012.

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The detection of cancer in the breast is done using mammograms (x-ray images). The authors propose a CAD framework for distinguishing little changes in mammogram which may demonstrate malignancies which are too little to be felt either by the lady herself or by a radiologist. In this chapter, they build up a framework for analysis, visualization, and prediction of cancer in breast tissue by utilizing Intelligent based wavelet classifier. Intelligent-based wavelet classifier is a new approach constructed using texture value and wavelet neural network. The proposed framework is applied to the genuine clinical database of 160 mammograms gathered from mammogram screening focuses. The execution of the CAD framework is examined utilizing ROC curve. This will help the specialists in determination of the breast tissues either cancerous or noncancerous in an accurate way.
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E., Terry. "RBC-ATP Theory of Regulation for Tissue Oxygenation-ATP Concentration Model." In Blood Cell - An Overview of Studies in Hematology. InTech, 2012. http://dx.doi.org/10.5772/48580.

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Danilov, Gleb, Vladislav Korolev, Michael Shifrin, Eugene Ilyushin, Narek Maloyan, Daniel Saada, Timur Ishankulov, et al. "Noninvasive Glioma Grading with Deep Learning: A Pilot Study." In MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation. IOS Press, 2022. http://dx.doi.org/10.3233/shti220163.

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Gliomas are the most common neuroepithelial brain tumors, different by various biological tissue types and prognosis. They could be graded with four levels according to the 2007 WHO classification. The emergence of non-invasive histological and molecular diagnostics for nervous system neoplasms can revolutionize the efficacy and safety of medical care and radically reduce healthcare costs. Our pilot study aimed to evaluate the diagnostic accuracy of deep learning (DL) in subtyping gliomas by WHO grades (I–IV) based on preoperative magnetic resonance imaging (MRI) from Burdenko Neurosurgery Center’s database. A total of 707 MRI studies was included. A “3D classification” approach predicting tumor type for the entire patient’s MRI data showed the best result (accuracy = 83%, ROC AUC = 0.95), consistent with that of other authors who used different methodologies. Our preliminary results proved the separability of MR T1 axial images with contrast enhancement by WHO grade using DL.
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Hegazy, Mohammed. "Scapular Dyskinesis." In Shoulder Surgery for RC Pathology, Arthropathy and Tumors [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104852.

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In order for correct shoulder function to occur, the scapula plays a number of responsibilities. These functions include synchronous scapular rotation during humeral motion, providing a stable basis for rotator cuff activation, and acting as a kinetic chain link. Scapular dyskinesis is defined as a change in the resting or dynamic position of the scapula. Scapular dyskinesis is a nonspecific response to a painful shoulder ailment rather than a specific response to glenohumeral pathology. Visual assessment of the scapular position at rest and during dynamic humeral motions, as well as objective posture measurements and scapular corrective techniques, is used to diagnose scapular dyskinesis. Treatment for scapular dyskinesis focuses on improving dynamic scapular stability by improving the motor control and strength of scapular stabilizers, as well as the flexibility of tight muscles and other connective tissues.
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Riss, Georges, Alfred W. Kormann, Ernst Glinz, Willi Walther, and Urs B. Ranalder. "[26] Separation of the eight stereoisomers of all-rac-α-tocopherol from tissues and plasma: Chiral phase high-performance liquid chromatography and capillary gas chromatography." In Methods in Enzymology, 302–10. Elsevier, 1994. http://dx.doi.org/10.1016/0076-6879(94)34097-8.

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M. Harvey, Evan, Murad Almasri, and Hugo R. Martinez. "Genetics of Cardiomyopathy." In Cardiomyopathy - Disease of the Heart Muscle [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97010.

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Cardiomyopathies (CMs) encompass a heterogeneous group of structural and functional (systolic and diastolic) abnormalities of the myocardium and are either confined to the cardiovascular system or are part of a systemic disorder. CMs represent a leading cause of morbidity and mortality and account for a significant percentage of death and cardiac transplantation. The 2006 American Heart Association (AHA) classification grouped CMs into primary (genetic, mixed, or acquired) or secondary (i.e., infiltrative or autoimmune). In 2008, the European Society of Cardiology classification proposed subgrouping CM into familial or genetic and nonfamilial or nongenetic forms. In 2013, the World Heart Federation recommended the MOGES nosology system, which incorporates a morpho-functional phenotype (M), organ(s) involved (O), the genetic inheritance pattern (G), an etiological annotation (E) including genetic defects or underlying disease/substrates, and the functional status (S) of a particular patient based on heart failure symptoms. Rapid advancements in the biology of cardio-genetics have revealed substantial genetic and phenotypic heterogeneity in myocardial disease. Given the variety of disciplines in the scientific and clinical fields, any desired classification may face challenges to obtaining consensus. Nonetheless, the heritable phenotype-based CM classification offers the possibility of a simple, clinically useful diagnostic scheme. In this chapter, we will describe the genetic basis of dilated cardiomyopathy (DCM), hypertrophic cardiomyopathy (HCM), arrhythmogenic cardiomyopathy (ACM), LV noncompaction cardiomyopathy (LVNC), and restrictive cardiomyopathy (RCM). Although the descriptive morphologies of these types of CM differ, an overlapping phenotype is frequently encountered within the CM types and arrhythmogenic pathology in clinical practice. CMs appear to originate secondary to disruption of “final common pathways.” These disruptions may have purely genetic causes. For example, single gene mutations result in dysfunctional protein synthesis causing downstream dysfunctional protein interactions at the level of the sarcomere and a CM phenotype. The sarcomere is a complex with multiple protein interactions, including thick myofilament proteins, thin myofilament proteins, and myosin-binding proteins. In addition, other proteins are involved in the surrounding architecture of the sarcomere such as the Z-disk and muscle LIM proteins. One or multiple genes can exhibit tissue-specific function, development, and physiologically regulated patterns of expression for each protein. Alternatively, multiple mutations in the same gene (compound heterozygosity) or in different genes (digenic heterozygosity) may lead to a phenotype that may be classic, more severe, or even overlapping with other disease forms.
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Conference papers on the topic "RCC tissues"

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Hinge, Sarika, Arun G. Banpurkar, and Gauri R. Kulkarni. "Optical trapping of cord blood and adult blood -RBC." In Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XX, edited by James F. Leary, Attila Tarnok, and Jessica P. Houston. SPIE, 2022. http://dx.doi.org/10.1117/12.2609509.

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Genning, Tatyana, Dinara Arslanova, Liliya Belozerova, Olga Voronova, Vyacheslav V. Svetukhin, Andrey S. Kurkov, Eugene Sholokhov, Vladimir Ostatochnikov, and Igor O. Yavtushenko. "Observation of light-oxygen effect (LOE) under irradiation of mammals red blood cells (RBC) with the fiber RAMAN-laser." In Optical Interactions with Tissue and Cells XXII. SPIE, 2011. http://dx.doi.org/10.1117/12.874464.

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Gogoleva, N. G. "Biological tissues selective damage by microbubbles formation: Numerical modeling." In XIV RUSSIAN-GERMANY CONFERENCE ON BIOMEDICAL ENGINEERING (RGC-2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5121948.

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Gogoleva, N. G., and V. N. Mironov. "Photodynamic fullerene-oxygene action on biological tissues: Virtual lab." In XIV RUSSIAN-GERMANY CONFERENCE ON BIOMEDICAL ENGINEERING (RGC-2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5121949.

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Craciunescu, Oana, Shiva K. Das, and Mark W. Dewhirst. "Three-Dimensional Microvascular Networks Fractal Structure: Potential for Tissue Characterization?" In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0571.

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Abstract It has been shown that the fractal dimension of 2D microvascular networks can discriminate between normal vs. tumor tissue (Gazit et al., 1995, 1997). We have determined the fractal characteristics of five 3D microvascular networks and conclude on the correlation between the computed fractal characteristics and the nature of the tissue of origin. The networks considered in the fractal analysis study were one rat tumor network (RT), one nude mouse tumor (NMT), one hamster skeletal muscle (HSM), one rat cremaster (RC), and one rat cerebral cortex (RCC). The networks were digitized in a 3D lattice starting from the known length, diameter and position of each segment in the network. The digitization process was performed such that the ratio between the initial occupation fraction of the vessels in the network and the occupation fraction after digitization is close to one. The resultant cubic lattices were analyzed using the concept of asymptotic fractals. The fractal dimension df, and the minimum path dimension dmin (that measures the tortuosity of the vessels) were determined for all the networks. Fractal behavior was noticed on length scales from 1–1.3 decades, dependent on the actual network size. The values obtained for the fractal dimension for the RT, NMT, RCC, RC and HSM microvascular networks are respectively, 2.6, 2.2, 2.29, 2.12 and 2.08. For the minimum dimension the values obtained are: 1.2, 1.1, 1.16, 1.1, and 1.1. By analyzing the available data, preliminary conclusions lead us to believe that a correlation between the fractal characteristics and tissue type might exist. Another important aspect is that the 3D RT microvascular network seems to have a percolation-like scaling which can be beneficial in monitoring the growing pattern using invasion percolation growth models. However, for general conclusions to be drawn, more networks have to be analyzed.
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Chernigovskiy, V. V., S. A. Martsinukov, D. K. Kostrin, and V. A. Simon. "Calculation of the temperature effect of laser radiation on biological tissues." In XIV RUSSIAN-GERMANY CONFERENCE ON BIOMEDICAL ENGINEERING (RGC-2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5121936.

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Chernigovskiy, V. V., S. A. Martsinukov, D. K. Kostrin, and V. A. Simon. "Research of the effect of modulated laser radiation on biological tissues." In XIV RUSSIAN-GERMANY CONFERENCE ON BIOMEDICAL ENGINEERING (RGC-2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5121937.

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Goncharov, V. D., E. G. Evdakova, and R. V. Yashkardin. "Calculation of the induced electromagnetic pulse shape in the tissues of biological objects." In XIV RUSSIAN-GERMANY CONFERENCE ON BIOMEDICAL ENGINEERING (RGC-2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5121950.

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Karpuhin, V. A., A. S. Fomenko, and I. D. Panov. "Method for estimating the heating temperature of biological tissue in electrosurgical myomectomy." In XIV RUSSIAN-GERMANY CONFERENCE ON BIOMEDICAL ENGINEERING (RGC-2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5121958.

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He, Xiaoming, Shawn Mcgee, James E. Coad, Paul A. Iaizzo, David J. Swanlund, Stan Kluge, Eric Rudie, and John C. Bischof. "Investigation of the Thermal and Injury Behavior During Microwave Thermal Therapy of Porcine Kidney." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32048.

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In this paper, we report on the characterization of microwave therapy of normal porcine kidneys both in vitro and in vivo. This technology is being developed for eventual use in the treatment of small renal cell carcinoma (RCC) by minimally invasive procedures. During experiments, microwave energy was applied through an interstitial microwave probe (Urologix, Plymouth, MN) to the kidney cortex with occasional involvement of the kidney medulla. The thermal histories at several locations were recorded. After treatment, the kidneys were bisected and small tissue slices were cut out at approximately the same depth as the thermal probes. The tissue slices were further processed for histological study. Both cellular injury and the area of microvascular stasis were quantitatively evaluated by histology. Absolute rate kinetic models of cellular injury and vascular stasis were developed and fit to this data. A 3-D finite element thermal model based on the Pennes Bioheat equation was developed and solved using a commercial software package (ANSYS, V5.7). The Specific Absorption Rate (SAR) of the microwave probe was measured experimentally in tissue equivalent gel-like solution. The thermal model was first validated by the measured in vitro thermal histories. It was then used to determine the blood perfusion term in vivo.
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Reports on the topic "RCC tissues"

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Viksna, Ludmila, Oksana Kolesova, Aleksandrs Kolesovs, Ieva Vanaga, and Seda Arutjunana. Clinical characteristics of COVID-19 patients (Latvia, Spring 2020). Rīga Stradiņš University, December 2020. http://dx.doi.org/10.25143/fk2/hnmlhh.

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Data include following variables: Demographics, epidemiological history, comorbidities, diagnosis, complications, and symptoms on admission to the hospital. Also, body’s temperature and SpO2. Blood cells: white cells count (WBC), neutrophils (Neu), lymphocytes (Ly), eosinophils (Eo) and monocytes (Mo), percentages of segmented and banded neutrophils, erythrocytes (RBC), platelet count (PLT), hemoglobin (Hb), and hematocrit (HCT); Inflammatory indicators: erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP); Tissue damage indicators: alanine aminotransferase (ALT), lactate dehydrogenase (LDH), and troponin T (TnT); Electrolytes: potassium and sodium concentration; Renal function indicators: creatinine and glomerular filtration rate (GFR); Coagulation tests: D-dimer, prothrombin time, and prothrombin index on admission to the hospital.
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