Publications by authors named "Deniz Sunnetci-Akkoyunlu"
Objective: This study aimed to investigate miRNA expression profiles in individuals with periodontitis which is a chronic inflammatory condition affecting the integrity of the periodontal attachment. miRNAs play a crucial role in gene regulation through various mechanisms, making them potential diagnostic markers and therapeutic targets for various diseases.
Materials And Methods: A total of 25 individuals with aggressive periodontitis and 25 controls were included in the study.
Integrated analysis of differentially expressed genes implicated in ovarian cancer progression.
Turk J Obstet Gynecol
December 2023
Objective: Ovarian cancer (OC) is a common gynecological malignancy associated with high morbidity and generally poor prognosis despite treatment. The aim of this study was to understand the influence of gene expression differences and pathways in OC development and progression.
Materials And Methods: One hundred and thirty-three OC samples and 34 normal ovarian tissues were included in the study from the Gene Expression Omnibus database.
Background: Our previous study explored the molecular signatures of generalized aggressive periodontitis (GAgP) using gingival tissues through omics-based-whole-genome transcriptomic analysis. This continuation study aimed to investigate the whole protein profiling of these gingival samples through liquid chromatography-mass spectroscopy/mass spectroscopy (LC-MS/MS) analysis and to validate the identified proteins through immunohistochemistry to provide further evidence for the quality of the results.
Methods: In previous study, gene expression patterns were identified in gingival tissues from 23 GAgP and 25 control individuals.
Article Synopsis
- Breast cancer is the most common cancer in women globally, and while BRCA1/2 genes are linked to many cases, not all patients have mutations in these genes.
- This study involved 96 patients without BRCA1/2 mutations, analyzing 34 genes through next-generation sequencing to find other genetic variations related to breast cancer.
- The researchers identified genetic variants in 16 genes for about 45% of the patients, uncovering pathogenic variants in key genes like TP53 and CHEK2, and highlighting the utility of next-generation sequencing in understanding breast cancer genetics.
Backround: Identification of driver mutations and rapid detection of genetic changes in lung cancer are critical in the management of the disease. Genetic structures of tumor tissues tend to change constantly and the possibility of emergence of new pathogenic variants that will create resistance to treatment. Liquid biopsy analysis has been one of the most effective approaches used to monitor and identify individual genetic changes.
View Article and Find Full Text PDFUse of plasma cell-free DNA genomic testing, also know as liquid biopsy, reveals information for early detection and monitoring of solid tumors. Our study reports the analysis of 113 lung and 18 breast cancer patients using commercially available platforms. Lung and breast cancer panel hotspot regions on the genes were investigated.
View Article and Find Full Text PDFBackground: To elucidate molecular signatures of chronic periodontitis (CP) using gingival tissue samples through omics-based whole-genome transcriptomic and whole protein profiling.
Methods: Gingival tissues from 18 CP and 25 controls were analyzed using gene expression microarrays to identify gene expression patterns and the proteins isolated from these samples were subjected to comparative proteomic analysis by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The data from transcriptomics and proteomics were integrated to reveal common shared genes and proteins.
Background: In this study, molecular biomarkers that play a role in the development of generalized aggressive periodontitis (GAgP) are investigated using gingival tissue samples through omics-based whole-genome transcriptomics while using healthy individuals as background controls.
Methods: Gingival tissue biopsies from 23 patients with GAgP and 25 healthy individuals were analyzed using gene-expression microarrays with network and pathway analyses to identify gene-expression patterns. To substantiate the results of the microarray studies, real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was performed to assess the messenger RNA (mRNA) expression of MZB1 and DSC1.