Preferred Language
Articles
/
Gxf81o0BVTCNdQwCRCYP
BRCA1 is Overexpressed in Breast Cancer Cell Lines and is Negatively Regulated by E2F6 in Normal but not Cancerous Breast Cells
...Show More Authors

This study focused on the expression and regulation of BRCA1 in breast cancer cell lines compared to normal breast. BRCA1 transcript levels were assessed by real time quantitative polymerase chain reaction (RT-qPCR) in the cancer cell lines. Our data show overexpression of BRCA1 mRNA level in all the studied breast cancer cell lines: MCF-7, T47D, MDA-MB-231 and MDA-MB-468 along with Jurkat, leukemia T-lymphocyte, the positive control, relative to normal breast tissue. To investigate whether a positive or negative correlation exists between BRCA1 and the transcription factor E2F6, three different si-RNA specific for E2F6 were used to transfect the normal and cancerous breast cell lines. Interestingly, strong negative relationship was found between BRCA1 and E2F6, in which depletion of E2F6 in MCF-10A, the normal breast cell line, resulted in more than four-fold increased expression of BRCA1 transcript level. On the other hand, our findings suggest that E2F6 might lost control on BRCA1 in breast cancer cells. E2F6 knockdown by either of two specific siRNA (i.e. si-E2F6#1 or si- E2F6#2) had no influence on the BRCA1 expression in MCF-7 cells. Although, transfecting these cells with si-E2F6#3 showed overexpression of BRCA1 compared to cells transfected with scrambled negative control.

Preview PDF
Quick Preview PDF
Publication Date
Thu Jun 15 2023
Journal Name
Journal Of Baghdad College Of Dentistry
Evaluation of leukocytes cells types counts in blood from patients with different severities of periodontal diseases
...Show More Authors

Background: Periodontal diseases are inflammatory disorders caused by the accumulation of oral biofilm and the host response to this accumulation which characterized by exaggerated leukocytes and neutrophils attraction to the sites of inflammation by chemoattractants which are a very important part of the pathogenesis of periodontal diseases. This study aimed to determine and compare the clinical periodontal parameters and the leukocyte cell types in the peripheral blood between patients with gingivitis and periodontitis with different severities compared to healthy controls. Materials and methods: This study included 150 male subjects aged between 35-50 years. They were divided into three groups: gingivitis group (n=30), periodontitis p

... Show More
View Publication Preview PDF
Scopus (3)
Crossref (3)
Scopus Crossref
Publication Date
Wed Apr 28 2021
Journal Name
Plants/mdpi
Neuroprotective Assessment of Moringa oleifera Leaves Extract against Oxidative‐Stress‐Induced Cytotoxicity in SHSY5Y Neuroblastoma Cells
...Show More Authors

The current trend worldwide is searching plant extracts towards prevention of neurodegenerative disorders. This study aimed to investigate the neuroprotective effect of Alpinia galanga leaves (ALE), Alpinia galanga rhizomes (ARE), Vitis vinifera seeds (VSE), Moringa oleifera leaves (MLE), Panax ginseng leaves (PLE) and Panax ginseng rhizomes (PRE) ethanolic extracts on human neuroblastoma (SHSY5Y) cells. The 1‐diphenyl‐1‐picrylhydrazyl (DPPH) radical scavenging of VSE and MLE were 81% and 58%, respectively. Ferric‐reducing antioxidant power (FRAP) of ALE and MLE (33.57 ± 0.20 and 26.76 ± 0.30 μmol Fe(ΙΙ)/g dry wt., respectively) were higher than for the other extracts. Liquid chromatography coupled to quadrupole time‐of‐fli

... Show More
Preview PDF
Publication Date
Sun Jan 01 2017
Journal Name
International Journal Of Electrochemical Science
Natural dye extracted from Pandannus amaryllifolius leaves as sensitizer in fabrication of dye-sensitized solar cells
...Show More Authors

View Publication
Scopus (61)
Crossref (56)
Scopus Clarivate Crossref
Publication Date
Wed Feb 01 2023
Journal Name
International Journal Of Revolution In Science And Humanity
Nonparametric Estimation of Failure Periods for Log Normal Distribution Using Bootstra
...Show More Authors

A non-parametric kernel method with Bootstrap technology was used to estimate the confidence intervals of the system failure function of the log-normal distribution trace data. These are the times of failure of the machines of the spinning department of the weaving company in Wasit Governorate. Estimating the failure function in a parametric way represented by the method of the maximum likelihood estimator (MLE). The comparison between the parametric and non-parametric methods was done by using the average of Squares Error (MES) criterion. It has been noted the efficiency of the nonparametric methods based on Bootstrap compared to the parametric method. It was also noted that the curve estimation is more realistic and appropriate for the re

... Show More
View Publication
Publication Date
Fri Feb 05 2021
Journal Name
Scientific Reports
Green Nanotechnology of MGF-AuNPs for Immunomodulatory Intervention in Prostate Cancer Therapy
...Show More Authors
Abstract<p>Men with castration-resistant prostate cancer (CRPC) face poor prognosis and increased risk of treatment-incurred adverse effects resulting in one of the highest mortalities among patient population globally. Immune cells act as double-edged sword depending on the tumor microenvironment, which leads to increased infiltration of pro-tumor (M2) macrophages. Development of new immunomodulatory therapeutic agents capable of targeting the tumor microenvironment, and hence orchestrating the differentiation of pro-tumor M2 macrophages to anti-tumor M1, would substantially improve treatment outcomes of CRPC patients. We report, herein, Mangiferin functionalized gold nanoparticles (MGF-AuNPs) and its</p> ... Show More
View Publication
Crossref
Publication Date
Thu Mar 07 2024
Journal Name
Oncology Letters
Effect of valproic acid on histone deacetylase expression in oral cancer (Review)
...Show More Authors

View Publication
Scopus (13)
Crossref (11)
Scopus Clarivate Crossref
Publication Date
Fri Jan 01 2010
Journal Name
Aip Conference Proceedings
COMPARATIVE ANALYSIS OF IMMUNE CELLS ACTIVATION AND CYTOTOXICITY UPON EXPOSURE PATHOGEN AND GLYCOCONJUGATES
...Show More Authors

View Publication
Scopus Clarivate Crossref
Publication Date
Tue Jan 01 2019
Journal Name
Indian Journal Of Public Health Research &amp; Development
Effect of Gold Nanoparticles and Laser on Platelet, Lymphocytes, and White Blood Cells
...Show More Authors

View Publication
Scopus Crossref
Publication Date
Wed May 26 2021
Journal Name
Pharmaceuticals
Pt(II)-Thiocarbohydrazone Complex as Cytotoxic Agent and Apoptosis Inducer in Caov-3 and HT-29 Cells through the P53 and Caspase-8 Pathways
...Show More Authors

In this study, a platinum(II) complex ([Pt(H2L)(PPh3)] complex) containing a thiocarbohydrazone as the ligand was tested as an anti-proliferative agent against ovarian adenocarcinoma (Caov-3) and human colorectal adenocarcinoma (HT-29) through MTT assays. Apoptotic markers were tested by the AO/PI double staining assay and DNA fragmentation test. Flow cytometry was conducted to measure cell cycle distribution, while the p53 and caspase-8 pathways were tested via immunofluorescence assay. Results demonstrated that the cytotoxic effect of the Pt(II)- thiocarbohydrazone complexes against Caov-3 and HT-29 cells was highly significant, and this effect triggered the activation of the p53 and caspase-8 pathways. Besides, apoptosis stimulated by th

... Show More
Preview PDF
Publication Date
Thu Jun 01 2023
Journal Name
Journal Of Engineering
Fault Location of Doukan-Erbil 132kv Double Transmission Lines Using Artificial Neural Network ANN
...Show More Authors

Transmission lines are generally subjected to faults, so it is advantageous to determine these faults as quickly as possible. This study uses an Artificial Neural Network technique to locate a fault as soon as it happens on the Doukan-Erbil of 132kv double Transmission lines network. CYME 7.1-Programming/Simulink utilized simulation to model the suggested network. A multilayer perceptron feed-forward artificial neural network with a back propagation learning algorithm is used for the intelligence locator's training, testing, assessment, and validation. Voltages and currents were applied as inputs during the neural network's training. The pre-fault and post-fault values determined the scaled values. The neural network's p

... Show More
View Publication Preview PDF
Crossref (2)
Crossref