scholarly journals Differential Gene Expression in Tamoxifen-Resistant Breast Cancer Cells Revealed by a New Analytical Model of RNA-Seq Data

PLoS ONE ◽  
2012 ◽  
Vol 7 (7) ◽  
pp. e41333 ◽  
Author(s):  
Kathryn J. Huber-Keener ◽  
Xiuping Liu ◽  
Zhong Wang ◽  
Yaqun Wang ◽  
Willard Freeman ◽  
...  
Endocrine ◽  
2013 ◽  
Vol 44 (2) ◽  
pp. 496-503 ◽  
Author(s):  
Nadine A. Binai ◽  
Gert Carra ◽  
Johannes Löwer ◽  
Roswitha Löwer ◽  
Silja Wessler

Author(s):  
Abah Moses Owoicho ◽  
Joseph Luper Tsenum ◽  
Deborah Oganya Ogenyi ◽  
Ogu Stephen ◽  
Ujah Moses Okwori

The study seeks to compare the transcriptomic response of pancreatic and breast cancer cells to Anarcadic Acid and Olaparib via the preparation of Pancreatic Cancer Cell Culture which involves the seeding of PANC-1 cells in 6-well plates (5× 105 cells per well). 24hours later, cells will be untreated or treated by 5mM anacardic acid, 2mM olaparib or a combination of anacardic acid (5mM) and olaparib (2mM) for 48hours; after which Pancreatic Cancer Cell’s mRNA Library will be Prepared and Sequenced using the Illumina TruSeq™ RNA Sample Prep Kit v2. Samples will be sequenced on the Illumina HiSeq 2500, 2× 100bp paired-end reads, to a minimum depth of 30 million reads per sample. Thereafter, the Computational Analyses of Pancreatic Cancer RNA-seq Data will be done by obtaining a total of 240 million obtained reads of high quality clean tags which will then be mapped and annotated via human reference genome using Bioconductor package biomaRt (http://www.bioconductor.org) (Durinck et al 2009). Mapped reads with mapping quality 10 or more will be defined as uniquely mapped reads and used in the downstream analyses. Biological networks and pathways related to anachardic acid, olaparib and the combination will be analyzed with Ingenuity Pathway Analysis (IPA) software (Qiagen, CA, USA). The lists of all genes identified in gene expression analysis will be uploaded into the IPA software. For the analysis of networks and pathways, the cutoff values will be set at P≤ 1× 10−5 and FC≥ |2| respectively.Validation of RNA-seq Results by qRT-PCR via the expression of mRNA which will be determined in all 4 samples using Power SYBR® Green RNA-to-CT™ 1-Step Kit (Life Technologies, CA, USA). The Western blotting for the selected proteins will be performed, as described by Yue (Yue et al 2015). Thereafter, the Breast Cancer Cell Culture will be prepared and treated. Breast Cancer Cell’s mRNA RNA-seq will be prepared. The Truseq Stranded mRNA kit (Illumina) will be used to prepare mRNA libraries from 1 µg total RNA. Libraries will be confirmed on the Agilent 2100 Bioanalyzer and quantitated using the Illumina Library Quantification Kit, ABI Prism qPCR Mix from Kapa Biosystems and the ABI7900HT real-time PCR instrument. The differential Gene Expression will be analysed RNA-seq reads will be assembled according to the hg19.gtf annotation file (downloaded from ENSEMBL) (Flicek et al 2014) using Cufflinks (version 2.2.1) (Trapnell et al 2012). For each comparison, both cufflinks assemblies shall be merged, and the resulting merged gtf file serves as the transcript input for differential gene expression analysis in Gene Ontology and KEGG pathways. For three of the comparisons, a p-value cutoff ≤0.05 shall be used to determine differential expression. In-silico pathway and network analysis of differentially expressed genes shall be performed in MetaCore version 6.27 (GeneGO, Thomson Reuters, New York, N.Y.) (Bolser et al 2012). The results obtained will be statistically analysed. The results of RT-PCR shall be normalized to expression of GAPDH using the formula 2∆ CT. One-way ANOVA shall be used for comparing treatment with the combination of anacardic acid and olaparib to the untreated control. A P value less than 0.05 will be considered statistically significant.


2019 ◽  
Vol 16 (2) ◽  
pp. 184-197 ◽  
Author(s):  
Hossein Bakhtou ◽  
Asiie Olfatbakhsh ◽  
Abdolkhaegh Deezagi ◽  
Ghasem Ahangari

Background:Breast cancer is one of the common causes of mortality for women in Iran and other parts of the world. The substantial increasing rate of breast cancer in both developed and developing countries warns the scientists to provide more preventive steps and therapeutic measures. This study is conducted to investigate the impact of neurotransmitters (e.g., Dopamine) through their receptors and the importance of cancers via damaging immune system. It also evaluates dopamine receptors gene expression in the women with breast cancer at stages II or III and dopamine receptor D2 (DRD2) related agonist and antagonist drug effects on human breast cancer cells, including MCF-7 and SKBR-3.Methods:The patients were categorized into two groups: 30 native patients who were diagnosed with breast cancer at stages II and III, with the mean age of 44.6 years and they were reported to have the experience of a chronic stress or unpleasant life event. The second group included 30 individuals with the mean age of 39 years as the control group. In order to determine the RNA concentration in all samples, the RNA samples were extracted and cDNA was synthesized. The MCF-7 cells and SKBR-3 cells were treated with dopamine receptors agonists and antagonists. The MTT test was conducted to identify oxidative and reductive enzymes and to specify appropriate dosage at four concentrations of dopamine and Cabergoline on MCF-7 and SKBR-3 cells. Immunofluorescence staining was done by the use of a mixed dye containing acridine orange and ethidiume bromide on account of differentiating between apoptotic and necrotic cells. Flow cytometry assay was an applied method to differentiate necrotic from apoptotic cells.Results:Sixty seven and thirty three percent of the patients were related to stages II and III, respectively. About sixty three percent of the patients expressed ER, while fifty seven percent expressed PR. Thirty seven percent of the patients were identified as HER-2 positive. All types of D2-receptors were expressed in PBMC of patients with breast cancer and healthy individuals. The expression of the whole dopamine receptor subtypes (DRD2-DRD4) was carried out on MCF-7 cell line. The results of RT-PCR confirmed the expression of DRD2 on SKBR-3 cells, whereas the other types of D2- receptors did not have an expression. The remarkable differences in gene expression rates between patients and healthy individuals were revealed in the result of the Real-time PCR analysis. The over expression in DRD2 and DRD4 genes of PBMCs was observed in the patients with breast cancer at stages II and III. The great amount of apoptosis and necrosis occurred after the treatment of MCF-7 cells by Cabergoline from 25 to 100 µmolL-1 concentrations.Conclusion:This study revealed the features of dopamine receptors associated with apoptosis induction in breast cancer cells. Moreover, the use of D2-agonist based on dopamine receptors expression in various breast tumoral cells could be promising as a new insight of complementary therapy in breast cancer.


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