Time resolved gene expression analysis during tamoxifen adaption of MCF-7 cells identifies long non-coding RNAs with prognostic impact

Drug resistance is responsible for the failure of many available anticancer drugs. Several studies have demonstrated the association between the alteration in sphingolipids (SPLs) and the development of drug resistance. To investigate the association between SPLs metabolism and doxorubicin (dox)-resistance in MCF-7 cells, a comparative sphingolipidomics analysis between dox-sensitive (parental) and -resistant MCF-7 cell lines along with validation by gene expression analysis were conducted. A total of 31 SPLs representing 5 subcategories were identified. The data obtained revealed that SPLs were clustered into two groups differentiating parental from dox-resistant cells. Eight SPLs were significantly altered in response to dox-resistance including SM (d18:1/16), SM (d18:1/24:2), SM (d18:1/24:0), SM (d18:1/20:0), SM (d18:1/23:1), HexCer (d18:1/24:0), SM (d18:1/15:0), DHSM (d18:0/20:0). The current study is the first to conclusively ascertain the potential involvement of dysregulated SPLs in dox-resistance in MCF-7 cells. SPLs metabolism in dox-resistant MCF-7 cells is oriented toward the downregulation of ceramides (Cer) and the concomitant increase in sphingomyelin (SM). Gene expression analysis has revealed that dox-resistant cells tend to escape from the Cer-related apoptosis by the activation of SM-Cer and GluCer-LacCer-ganglioside pathways. The enzymes that were correlated to the alteration in SPLs metabolism of dox-resistant MCF-7 cells and significantly altered in gene expression can represent potential targets that can represent a winning strategy for the future development of promising anticancer drugs.

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Coding and non-coding RNAs transcribed at the RORA locus (ROR𝛂) are differentially expressed in the whole blood of sepsis patients.

10.31219/osf.io/cdv8y ◽

2020 ◽

Author(s):

Shahan Mamoor

Keyword(s):

Gene Expression ◽

Differentially Expressed Genes ◽

Expression Analysis ◽

Whole Blood ◽

Gene Expression Analysis ◽

Differentially Expressed ◽

Blood Gene Expression ◽

Non Coding Rna ◽

Non Coding Rnas ◽

Long Non Coding Rna

Sepsis is a leading cause of mortality (1). We mined published datasets from the whole blood of patients with sepsis to identify differentially expressed genes in the septic state (2, 3). We found changes in RORA expression as among the most significant quantitative differences in sepsis whole blood gene expression. Analysis of a separate dataset (4) demonstrated significant repression of a long non-coding RNA produced at the RORA locus in the blood of patients with sepsis.

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Gene expression analysis of drug-resistant MCF-7 cells: implications for relation to extracellular matrix proteins

Cancer Chemotherapy and Pharmacology ◽

10.1007/s00280-009-1048-z ◽

2009 ◽

Vol 65 (3) ◽

pp. 447-455 ◽

Cited By ~ 39

Author(s):

Özlem Darcansoy Işeri ◽

Meltem Demirel Kars ◽

Fikret Arpaci ◽

Ufuk Gündüz

Keyword(s):

Gene Expression ◽

Extracellular Matrix ◽

Expression Analysis ◽

Gene Expression Analysis ◽

Extracellular Matrix Proteins ◽

Matrix Proteins ◽

Drug Resistant ◽

Mcf 7

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Activation of Caspase-3 by Terpenoids and Flavonoids in Different Types of Cancer Cells

Current Topics in Medicinal Chemistry ◽

10.2174/1568026620666200710101859 ◽

2020 ◽

Vol 20 (21) ◽

pp. 1876-1887

Author(s):

Nusrat Masood ◽

Vijaya Dubey ◽

Suaib Luqman

Keyword(s):

Gene Expression ◽

Natural Products ◽

Enzyme Activity ◽

Expression Analysis ◽

Anticancer Agents ◽

Gene Expression Analysis ◽

Caspase 3 ◽

Mrna Levels ◽

Promising Target ◽

Mcf 7

Background: Caspase-3 is accountable for the execution of apoptosis. Recently, it has gained attention as a promising target for the discovery of natural products as anticancer agents. Methods: We examined the efficacy of two different sets of natural products (terpenoids and flavonoids) towards caspase-3 activity adopting in silico, cell-free and cell-based activity and real-time gene expression analysis. Results: It was observed that terpenes activate caspase-3 activity in both the cell-free and cell-based systems, which was supported by the gene expression analysis, binding energy and activation constant. Flavonoids’ action, however, was limited to the cell-based system and transcriptional regulation suggesting their indirect association, which enhanced the enzyme activity and up-regulated the expression of mRNA levels in the cells. Among the tested natural products, (+) carvone was observed to be the best activator of caspase-3 in K562 (34.4 μM), WRL-68 (22.3 μM), HeLa (18.7 μM), MCF-7 (39.4 μM) and MDA-MB-231 cell lines (45.1 μM). Conclusion: Overall, terpenoids have a persistent activation of caspase-3 in all the investigated systems, while flavonoids circuitously affect the enzyme activity.

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