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Philipp Hillmeister, Kerstin E Lehmann,
Anja Bondke,
Henning Witt,
André Duelsner,
Clemens Gruber,
Hans-Jörg Busch,
Joachim Jankowski,
Patricia Ruiz-Noppinger,
Konstantin-Alexander Hossmann,
Ivo R Buschmann
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ABSTRACT: Cerebral arteriogenesis constitutes a promising therapeutic concept for cerebrovascular ischaemia; however, transcriptional profiles important for therapeutic target identification have not yet been investigated. This study aims at a comprehensive characterization of transcriptional and morphologic activation during early-phase collateral vessel growth in a rat model of adaptive cerebral arteriogenesis. Arteriogenesis was induced using a three-vessel occlusion (3-VO) rat model of nonischaemic cerebral hypoperfusion. Collateral tissue from growing posterior cerebral artery (PCA) and posterior communicating artery (Pcom) was selectively isolated avoiding contamination with adjacent tissue. We detected differential gene expression 24 h after 3-VO with 164 genes significantly deregulated. Expression patterns contained gene transcripts predominantly involved in proliferation, inflammation, and migration. By using scanning electron microscopy, morphologic activation of the PCA endothelium was detected. Furthermore, the PCA showed induced proliferation (PCNA staining) and CD68+ macrophage staining 24 h after 3-VO, resulting in a significant increase in diameter within 7 days after 3-VO, confirming the arteriogenic phenotype. Analysis of molecular annotations and networks associated with differentially expressed genes revealed that early-phase cerebral arteriogenesis is characterised by the expression of protease inhibitors. These results were confirmed by quantitative real-time reverse transcription-PCR, and in situ hybridisation localised the expression of tissue inhibitor of metalloproteinase-1 (TIMP-1) and kininogen to collateral arteries, showing that TIMP-1 and kininogen might be molecular markers for early-phase cerebral arteriogenesis.
Journal of cerebral blood flow and metabolism: official journal of the International Society of Cerebral Blood Flow and Metabolism 08/2008; 28(11):1811-23. · 5.46 Impact Factor
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ABSTRACT: Stromelysin-3 (ST-3) is over-expressed in the majority of human carcinomas including breast carcinoma. Due to its known effect in promoting tumour formation, but its impeding effect on metastasis, a dual role of ST-3 in tumour progression, depending on the cellular grade of dedifferentiation, was hypothesized.
The present study was designed to investigate the influence of ST-3 in vivo and in vitro on the oestrogen-dependent, non-invasive MCF-7 breast carcinoma cell line as well as on the oestrogen-independent, invasive MDA-MB-231 breast carcinoma cell line. Therefore an orthotopic human xenograft tumour model in nude mice, as well as a 3D matrigel cell culture system, were employed.
Using both in vitro and in vivo techniques, we have demonstrated that over-expression of ST-3 in MCF-7 and MDA-MB-231 cells leads to both increased cell numbers and tumour volumes. This observation was dependent upon the presence of growth factors. In particular, the enhanced proliferative capacity was in MCF-7/ST-3 completely and in MDA-MB-231/ST-3 cells partially dependent on the IGF-1 signalling pathway. Microarray analysis of ST-3 over-expressing cells revealed that in addition to cell proliferation, further biological processes seemed to be affected, such as cell motility and stress response. The MAPK-pathway as well as the Wnt and PI3-kinase pathways, appear to also play a potential role. Furthermore, we have demonstrated that breast cancer cell lines of different differentiation status, as well as the non-tumourigenic cell line MCF-10A, have a comparable capability to induce endogenous ST-3 expression in fibroblasts.
These data reveal that ST-3 is capable of enhancing tumourigenesis in highly differentiated "early stage" breast cancer cell lines as well as in further progressed breast cancer cell lines that have already undergone epithelial-mesenchymal transition. We propose that ST-3 induction in tumour fibroblasts leads to the stimulation of the IGF-1R pathway in carcinoma cells, thus enhancing their proliferative capacity. In addition, further different cellular processes seem to be activated by ST-3, possibly accounting for the dual role of ST-3 in tumour progression and metastasis.
BMC Cancer 02/2007; 7:12. · 3.01 Impact Factor
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ABSTRACT: For quantification of gene-specific mRNA, quantitative real-time RT-PCR has become one of the most frequently used methods over the last few years. This article focuses on the issue of real-time PCR data analysis and its mathematical background, offering a general concept for efficient, fast and precise data analysis superior to the commonly used comparative CT (DeltaDeltaCT) and the standard curve method, as it considers individual amplification efficiencies for every PCR. This concept is based on a novel formula for the calculation of relative gene expression ratios, termed GED (Gene Expression's CT Difference) formula. Prerequisites for this formula, such as real-time PCR kinetics, the concept of PCR efficiency and its determination, are discussed. Additionally, this article offers some technical considerations and information on statistical analysis of real-time PCR data.
Journal of Molecular Medicine 12/2006; 84(11):901-10. · 4.67 Impact Factor
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[show abstract]
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ABSTRACT: For quantification of gene-specific mRNA, quantitative real-time RT-PCR has become one of the most frequently used methods over the last few years. This article focuses on the issue of real-time PCR data analysis and its mathematical background, offering a general concept for efficient, fast and precise data analysis superior to the commonly used comparative C
T
(ΔΔC
T
) and the standard curve method, as it considers individual amplification efficiencies for every PCR. This concept is based on a novel formula for the calculation of relative gene expression ratios, termed GED (Gene Expression’s C
T
Difference) formula. Prerequisites for this formula, such as real-time PCR kinetics, the concept of PCR efficiency and its determination, are discussed. Additionally, this article offers some technical considerations and information on statistical analysis of real-time PCR data.
Journal of Molecular Medicine 01/2006; 84(11):901-910. · 4.67 Impact Factor
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Drug Discovery Today Disease Mechanisms 01/2005; 2(1):55-63.
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Philipp Hillmeister, Kerstin E Lehmann,
Anja Bondke,
Henning Witt,
Andre Duelsner,
Clemens Gruber,
Hans-Jörg Busch,
Joachim Jankowski,
Patricia Ruiz Noppinger,
Konstantin-Alexander Hossmann,
Ivo R Buschmann
Journal of Cerebral Blood Flow and Metabolism, v.28, 1811-1823 (2008).