scholarly journals Oral Pathology: Gene Expression in Odontogenic Cysts

Author(s):  
Naida Hadziabdic ◽  
Amina Kurtovic-Kozaric
2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Ufuk Tatli ◽  
Özgür Erdoğan ◽  
Aysun Uğuz ◽  
Yakup Üstün ◽  
Yaşar Sertdemır ◽  
...  

Purpose. The objective of this study was to evaluate the diagnostic concordance characteristics of oral cavity lesions by comparing the clinical diagnosis of the lesions with the histopathologic diagnosis.Material and Method. A retrospective analysis was conducted on the patients, who were admitted with oral cavity pathology and underwent biopsy procedure between 2007 and 2011. The oral cavity lesions were classified into 6 different groups as odontogenic cysts, nonodontogenic cysts, odontogenic tumors, nonodontogenic tumors, malignant tumors, and precancerous lesions in accordance with the 2005 WHO classification. The diagnoses were also recategorized into 3 groups expressing prognostic implications as benign, precancerous, and malignant. The initial clinical diagnoses were compared with the histopathologic diagnoses. Data were analyzed statistically.Results. A total of 2718 cases were included. Histopathologic diagnosis did not match the clinical diagnosis in 6.7% of the cases. Nonodontogenic tumors and malignant tumors had the highest misdiagnosis rates (11.5% and 9%, resp.), followed by odontogenic tumors (7.7%), precancerous lesions (6.9%), and odontogenic cysts (4.4%). Clinicians were excelled in diagnosis of benign and precancerous lesions in clinical setting.Conclusion. The detailed discordance characteristics for each specific lesion should be considered during oral pathology practice to provide early detection without delay.


2006 ◽  
Vol 30 (2) ◽  
pp. 153-156 ◽  
Author(s):  
Alexandra Skiavounou Dr. Odont ◽  
Mana lakovou ◽  
John Kontos-Toutouzas ◽  
Antonia Kanellopoulou ◽  
Stavros Papanikolaou Dr. Odont

Objective: The purpose of this retrospective study was to investigate the spectrum of oral intra-osseous lesions in a Greek population, consisting of children and adolescents under 18 years of age. Material and Methods: Data was obtained from the histopathological reports that accompanied biopsy request forms, which were retrieved from the files of the Oral Pathology Department, Faculty of Dentistry, University of Athens, during a 26-year period. A retrospective analysis with respect to patients' age and gender, frequency and location of the lesions was performed. The lesions were classified into cystic (odontogenic and non-odontogenic) and solid lesions (odontogenic and non-odontogenic). The patients were divided into three age groups: a) 0-6 years old, b) 7-12 years old and c) 13- 18 years old. Results: 474 intra-osseous lesions were detected and represented 2,38 % out of a total of 19933 biopsies. Male/female ratio was 1,25/1. The majority of the lesions was located in the mandible (49,8%) and occurred in the third age group of patients (58,7%). Odontogenic cysts represented the most frequent intraosseous lesion (64,1%) followed by non-odontogenic solid lesions representing 22,5% of the intra-osseous population. The most frequently encountered lesions in descending order were radicular (36,3%) and dentigerous (18%) cysts, keratocysts (9,5%), apical granulomas (7,6%), odontomas (6%) and fibrous dysplasia (5%). Only 6 malignant lesions were reported (1,3%). Conclusions: This clinicopathologic study revealed that a broad spectrum of mostly benign bony lesions may occur during childhood.


Author(s):  
W. K. Jones ◽  
J. Robbins

Two myosin heavy chains (MyHC) are expressed in the mammalian heart and are differentially regulated during development. In the mouse, the α-MyHC is expressed constitutively in the atrium. At birth, the β-MyHC is downregulated and replaced by the α-MyHC, which is the sole cardiac MyHC isoform in the adult heart. We have employed transgenic and gene-targeting methodologies to study the regulation of cardiac MyHC gene expression and the functional and developmental consequences of altered α-MyHC expression in the mouse.We previously characterized an α-MyHC promoter capable of driving tissue-specific and developmentally correct expression of a CAT (chloramphenicol acetyltransferase) marker in the mouse. Tissue surveys detected a small amount of CAT activity in the lung (Fig. 1a). The results of in situ hybridization analyses indicated that the pattern of CAT transcript in the adult heart (Fig. 1b, top panel) is the same as that of α-MyHC (Fig. 1b, lower panel). The α-MyHC gene is expressed in a layer of cardiac muscle (pulmonary myocardium) associated with the pulmonary veins (Fig. 1c). These studies extend our understanding of α-MyHC expression and delimit a third cardiac compartment.


1971 ◽  
Vol 35 (8) ◽  
pp. 513-516
Author(s):  
HP Gordon ◽  
AF Morgan
Keyword(s):  

2020 ◽  
Vol 477 (16) ◽  
pp. 3091-3104 ◽  
Author(s):  
Luciana E. Giono ◽  
Alberto R. Kornblihtt

Gene expression is an intricately regulated process that is at the basis of cell differentiation, the maintenance of cell identity and the cellular responses to environmental changes. Alternative splicing, the process by which multiple functionally distinct transcripts are generated from a single gene, is one of the main mechanisms that contribute to expand the coding capacity of genomes and help explain the level of complexity achieved by higher organisms. Eukaryotic transcription is subject to multiple layers of regulation both intrinsic — such as promoter structure — and dynamic, allowing the cell to respond to internal and external signals. Similarly, alternative splicing choices are affected by all of these aspects, mainly through the regulation of transcription elongation, making it a regulatory knob on a par with the regulation of gene expression levels. This review aims to recapitulate some of the history and stepping-stones that led to the paradigms held today about transcription and splicing regulation, with major focus on transcription elongation and its effect on alternative splicing.


2013 ◽  
Vol 54 ◽  
pp. 79-90 ◽  
Author(s):  
Saba Valadkhan ◽  
Lalith S. Gunawardane

Eukaryotic cells contain small, highly abundant, nuclear-localized non-coding RNAs [snRNAs (small nuclear RNAs)] which play important roles in splicing of introns from primary genomic transcripts. Through a combination of RNA–RNA and RNA–protein interactions, two of the snRNPs, U1 and U2, recognize the splice sites and the branch site of introns. A complex remodelling of RNA–RNA and protein-based interactions follows, resulting in the assembly of catalytically competent spliceosomes, in which the snRNAs and their bound proteins play central roles. This process involves formation of extensive base-pairing interactions between U2 and U6, U6 and the 5′ splice site, and U5 and the exonic sequences immediately adjacent to the 5′ and 3′ splice sites. Thus RNA–RNA interactions involving U2, U5 and U6 help position the reacting groups of the first and second steps of splicing. In addition, U6 is also thought to participate in formation of the spliceosomal active site. Furthermore, emerging evidence suggests additional roles for snRNAs in regulation of various aspects of RNA biogenesis, from transcription to polyadenylation and RNA stability. These snRNP-mediated regulatory roles probably serve to ensure the co-ordination of the different processes involved in biogenesis of RNAs and point to the central importance of snRNAs in eukaryotic gene expression.


2006 ◽  
Vol 73 ◽  
pp. 85-96 ◽  
Author(s):  
Richard J. Reece ◽  
Laila Beynon ◽  
Stacey Holden ◽  
Amanda D. Hughes ◽  
Karine Rébora ◽  
...  

The recognition of changes in environmental conditions, and the ability to adapt to these changes, is essential for the viability of cells. There are numerous well characterized systems by which the presence or absence of an individual metabolite may be recognized by a cell. However, the recognition of a metabolite is just one step in a process that often results in changes in the expression of whole sets of genes required to respond to that metabolite. In higher eukaryotes, the signalling pathway between metabolite recognition and transcriptional control can be complex. Recent evidence from the relatively simple eukaryote yeast suggests that complex signalling pathways may be circumvented through the direct interaction between individual metabolites and regulators of RNA polymerase II-mediated transcription. Biochemical and structural analyses are beginning to unravel these elegant genetic control elements.


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