scholarly journals The Effect of Laminin-1-Doped Nanoroughened Implant Surfaces: Gene Expression and Morphological Evaluation

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Humberto Osvaldo Schwartz-Filho ◽  
Kostas Bougas ◽  
Paulo G. Coelho ◽  
Ying Xue ◽  
Mariko Hayashi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Real Time ◽  
Rabbit Model ◽  
Interleukin 10 ◽  
Control Surface ◽  
Pcr Analysis ◽  
Tartrate Resistant Acid Phosphatase ◽  
Rt Pcr ◽  
Bony Tissue ◽  
Laminin 1

Aim. This study aimed to observe the morphological and molecular effect of laminin-1 doping to nanostructured implant surfaces in a rabbit model.Materials and Methods. Nanostructured implants were coated with laminin-1 (test; dilution, 100 μg/mL) and inserted into the rabbit tibiae. Noncoated implants were used as controls. After 2 weeks of healing, the implants were removed and subjected to morphological analysis using scanning electron microscopy (SEM) and gene expression analysis using the real-time reverse transcriptase-polymerase chain reaction (RT-PCR).Results. SEM revealed bony tissue attachment for both control and test implants. Real-time RT-PCR analysis showed that the expression of osteoblast markers RUNX-2, osteocalcin, alkaline phosphatase, and collagen I was higher (1.62-fold, 1.53-fold, 1.97-fold, and 1.04-fold, resp.) for the implants modified by laminin-1 relative to the control. All osteoclast markers investigated in the study presented higher expression on the test implants than controls as follows: tartrate-resistant acid phosphatase (1.67-fold), calcitonin receptor (1.35-fold), and ATPase (1.25-fold). The test implants demonstrated higher expression of inflammatory markers interleukin-10 (1.53-fold) and tumour necrosis factor-α(1.61-fold) relative to controls.Conclusion. The protein-doped surface showed higher gene expression of typical genes involved in the osseointegration cascade than the control surface.

Identification of Suitable Normalizing Genes for Quantitative Real-Time RT-PCR Analysis of Gene Expression in Fetal Mouse Gonads

2009 ◽  
Vol 3 (4) ◽  
pp. 194-204 ◽  
Author(s):  
T. Svingen ◽  
C.M. Spiller ◽  
K. Kashimada ◽  
V.R. Harley ◽  
P. Koopman
Keyword(s):  
Gene Expression ◽  
Real Time ◽  
Pcr Analysis ◽  
Rt Pcr ◽  
Fetal Mouse

scholarly journals Clinical implications of quantitative real-time RT–PCR analysis of hTERT gene expression in human gliomas

2003 ◽  
Vol 88 (4) ◽  
pp. 516-520 ◽  
Author(s):  
A Tchirkov ◽  
C Rolhion ◽  
J-L Kémény ◽  
B Irthum ◽  
S Puget ◽  
...  
Keyword(s):  
Gene Expression ◽  
Real Time ◽  
Pcr Analysis ◽  
Clinical Implications ◽  
Rt Pcr ◽  
Human Gliomas ◽  
Htert Gene

Identification of prognostic biomarkers for gastric cancer by gene expression analysis

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 4623-4623
Author(s):  
Y. Yamada ◽  
T. Arao ◽  
K. Nishio ◽  
F. Koizumi ◽  
D. Saito ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gastric Cancer ◽  
Overall Survival ◽  
Real Time ◽  
Prognostic Biomarkers ◽  
Rank Test ◽  
Pcr Analysis ◽  
Rt Pcr ◽  
Test Set ◽  
Validation Set

4623 Background: Endoscopic biopsy before chemotherapy provides an excellent opportunity for studying biomarkers related to therapy-induced tumor responses or overall survival. This study was designed to identify prognostic biomarkers in patients with unresected gastric cancer. Methods: Samples were taken from histologically proved primary gastric cancers in 40 patients before chemotherapy. Microarray analysis was performed using Affymetrix HG-U133Plus2.0 GeneChips after RNA quality checks of the samples. Correlations between gene expression data and survival time were statistically evaluated with a univariate Cox proportional-hazards model. Identified genes were validated by real time RT-PCR analysis in same 40 test-set samples. Then, PCR-validated genes were evaluated for independent samples (validation set) to predict survival. Results: We obtained 185 candidate genes that were significantly associated with survival (p<0.005) on univariate testing in the 40 test-set sample. Real time RT-PCR analysis identified 5 genes that were reproducibly related to survival on the log-rank test (p<0.01). PCR analysis with each of these 5 genes discriminated short-term survivors with a sensitivity of 71% and a specificity of 46–77% in the test set. For the independent 19-sample validation set, single-gene PCR analysis had a sensitivity of 50–81% and a specificity of 38–62%. A multi-gene prediction panel will be evaluated. Conclusions: Gene expression profiling by microarray and real time RT-PCR is useful for predicting overall survival in gastric cancer. No significant financial relationships to disclose.

Selection of housekeeping genes for normalization by real-time RT–PCR: Analysis of Or-MYB1 gene expression in Orobanche ramosa development

2008 ◽  
Vol 379 (2) ◽  
pp. 176-181 ◽  
Author(s):  
C.I. González-Verdejo ◽  
J.V. Die ◽  
S. Nadal ◽  
A. Jiménez-Marín ◽  
M.T. Moreno ◽  
...  
Keyword(s):  
Gene Expression ◽  
Real Time ◽  
Housekeeping Genes ◽  
Pcr Analysis ◽  
Rt Pcr ◽  
Orobanche Ramosa ◽  
Selection Of

Evaluation of reference genes for quantitative real-time RT-PCR analysis of gene expression in Nile tilapia (Oreochromis niloticus)

Gene ◽  
2013 ◽  
Vol 527 (1) ◽  
pp. 183-192 ◽  
Author(s):  
Chang Geng Yang ◽  
Xian Li Wang ◽  
Juan Tian ◽  
Wei Liu ◽  
Fan Wu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Real Time ◽  
Oreochromis Niloticus ◽  
Reference Genes ◽  
Nile Tilapia ◽  
Pcr Analysis ◽  
Rt Pcr ◽  
Nile Tilapia Oreochromis Niloticus
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