scholarly journals Transcriptomic response of breast cancer cells to anacardic acid

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
David J. Schultz ◽  
Abirami Krishna ◽  
Stephany L. Vittitow ◽  
Negin Alizadeh-Rad ◽  
Penn Muluhngwi ◽  
...  
2016 ◽  
Vol 117 (11) ◽  
pp. 2521-2532 ◽  
Author(s):  
Brandie N. Radde ◽  
Negin Alizadeh-Rad ◽  
Stephanie M. Price ◽  
David J. Schultz ◽  
Carolyn M. Klinge

PLoS ONE ◽  
2017 ◽  
Vol 12 (9) ◽  
pp. e0184471 ◽  
Author(s):  
David J. Schultz ◽  
Penn Muluhngwi ◽  
Negin Alizadeh-Rad ◽  
Madelyn A. Green ◽  
Eric C. Rouchka ◽  
...  

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.


Author(s):  
Benoît Chénais ◽  
Marine Cornec ◽  
Solenne Dumont ◽  
Justine Marchand ◽  
Vincent Blanckaert

Despite considerable efforts in prevention and therapy, breast cancer remains a major public health concern worldwide. Numerous studies using breast cancer cell lines have shown the antiproliferative and pro-apoptotic effects of docosahexaenoic acid (DHA). Some studies have also demonstrated the inhibitory effect of DHA on the migration and invasion of breast cancer cells, making DHA a potential anti-metastatic agent. Thus, DHA has shown its potential as a chemotherapeutic adjuvant. However, the molecular mechanisms triggering DHA effects remain unclear, and the aim of this study was to provide a transcriptomic basis for further cellular and molecular investigations. Therefore, MDA-MB-231 cells were treated with 100 µM DHA for 12 h or 24 h before RNA-seq analysis. The results show the great impact of DHA-treatment on the transcriptome, especially after 24 h of treatment. The impact of DHA is particularly visible in genes involved in the cholesterol biosynthesis pathway that is strongly downregulated, and the endoplasmic reticulum (ER)-stress response that is, conversely, upregulated. This ER-stress and unfolded protein response could explain the pro-apoptotic effect of DHA. The expression of genes related to migration and invasion (especially SERPINE1, PLAT, and MMP11) is also impacted by DHA. In conclusion, this transcriptomic analysis supports the antiproliferative, pro-apoptotic and anti-invasive effects of DHA, and provides new avenues for understanding its molecular mechanisms.


2010 ◽  
Vol 34 (8) ◽  
pp. S49-S49
Author(s):  
Lei Wang ◽  
Xun Zhou ◽  
Lihong Zhou ◽  
Yong Chen ◽  
Xun Zhu ◽  
...  

Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
WY Liao ◽  
CN Shen ◽  
LH Lin ◽  
YL Yang ◽  
HY Han ◽  
...  

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