Peptidergic nerves in human tooth pulp

1984 ◽  
Vol 92 (4) ◽  
pp. 319-324
Author(s):  
MATS GRÖNBLAD ◽  
PÄIVI LIESI ◽  
ANNE MARIE MUNCK
2008 ◽  
Vol 31 (2) ◽  
pp. 55 ◽  
Author(s):  
Stefano Tete ◽  
Filiberto Mastrangelo ◽  
Anna Paola Scioletti ◽  
Michelangelo Tranasi ◽  
Florina Raicu ◽  
...  

Introduction: Microarray is a recently developed simultaneous analysis of expression patterns of thousand of genes. The aim of this research was to evaluate the expression profile of human healthy dental pulp in order to find the presence of genes activated and encoding for proteins involved in the physiological process of human dental pulp. We report data obtained by analyzing expression profiles of human tooth pulp from single subjects, using an approach based on the amplification of the total RNA. Methods: Experiments were performed on a high-density array able to analyse about 21,000 oligonucleotide sequences of about 70 bases in duplicate, using an approach based on the amplification of the total RNA from the pulp of a single tooth. Obtained data were analyzed using the S.A.M. system (Significance Analysis of Microarray) and genes were merged according to their molecular functions and biological process by the Onto-Express software. Results: The microarray analysis revealed 362 genes with specific pulp expression. Genes showing significant high expression were classified in genes involved in tooth development, protoncogenes, genes of collagen, DNAse, Metallopeptidases and Growth factors. Conclusion: We report a microarray analysis, carried out by extraction of total RNA from specimens of healthy human dental pulp tissue. This approach represents a powerful tool in the study of human normal and pathological pulp, allowing minimization of the genetic variability due to the pooling of samples from different individuals.


2004 ◽  
Vol 45 (4-5) ◽  
pp. 231-237 ◽  
Author(s):  
Merja Sulkala ◽  
Virve Pääkkönen ◽  
Markku Larmas ◽  
Tuula Salo ◽  
Leo Tjäderhane

2010 ◽  
Vol 17 (11) ◽  
pp. 1476-1479 ◽  
Author(s):  
K. Beneng ◽  
T. Renton ◽  
Z. Yilmaz ◽  
Y. Yiangou ◽  
P. Anand

2014 ◽  
Vol 40 (12) ◽  
pp. 1961-1966 ◽  
Author(s):  
Adam Eckhardt ◽  
Michal Jágr ◽  
Statis Pataridis ◽  
Ivan Mikšík

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