Co-expression of apoptin (VP3) and antibacterial peptide cecropin B mutant (ABPS1) genes induce higher rate of apoptosis in HepG2 and A375 cell lines

2012 ◽  
Vol 11 (49) ◽  
Author(s):  
Basse Mame Birame
2020 ◽  
Vol 16 (6) ◽  
pp. 479-491
Author(s):  
Seong-Hui Eo ◽  
Seon-Mi Yu ◽  
Yohan Han ◽  
Jung Han ◽  
Su Min Kim ◽  
...  
Keyword(s):  

2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Kexin Yan ◽  
Yutao Wang ◽  
Yining Shao ◽  
Ting Xiao

Background. Melanoma is a common tumor characterized by a high mortality rate in its late stage. After metastasis, current treatment methods are relatively ineffective. Many studies have shown that long noncoding RNA (lncRNA) may participate in gene mutation and genomic instability in cancer. Methods. We downloaded transcriptome data, mutation data, and clinical follow-up data of melanoma patients from The Cancer Genome Atlas. We divided samples into groups according to the number of somatic cell mutations and then performed a differential analysis to screen out the differentially expressed genes. We then divided samples into genomic unstable and genomic stable groups. We compared lncRNA expression profiles in these groups and constructed a protein-coding genes network coexpressed with selected lncRNA to analyze the pathways enriched by these genes. Two machine learning methods, least absolute shrinkage and selector operation (LASSO) and support vector machine-recursive feature elimination (SVM-RFE), were applied to conduct the lncRNA-related prognostic model. Afterward, we performed survival analysis, risk correlation analysis, independent prognostic analysis, and clinical subgroup model validation. Finally, through wound healing assay and transwell assay, the function of AATBC was verified by A375 cell lines. Results. We screened 61 prognostic-related lncRNAs and constructed an lncRNA-mRNA coexpression network based on these lncRNAs. Seven lncRNAs were selected as common characteristic factors based on the two machine learning methods. The model formula was as follows: risk score = 0.085 ∗ AATBC + 0.190 ∗ AC026689.1−0.117 ∗ AC083799.1 + 0.036 ∗ AC091544.6−0.039 ∗ LINC01287−0.291 ∗ SPRY4.AS1 + 0.056 ∗ ZNF667.AS1. The seven lncRNAs in this formula are key candidates. Cell experiments have verified that knocking down AATBC in A375 cell lines can reduce the proliferation and invasion ability of melanoma cells. Conclusion. The lncRNA we identified provides a new way to study lncRNA’s role in the genomic instability of melanoma. Our findings may provide essential candidate biomarkers for the diagnosis and treatment of melanoma.


2021 ◽  
Vol 12 (1) ◽  
pp. 729-733
Author(s):  
Deepa Suruli ◽  
Fathima Bushra Sheriff Mirza ◽  
Gloria Jemmi Christobel R ◽  
Amuthavalli Kottaiswamy ◽  
Shila Samuel ◽  
...  

Naringin is a citrus flavonoid recently studied for anti-inflammatory activity in numerous cancer cells. In this study, the anti-inflammatory properties of naringin along with 5-fluorouracil in human skin cancer cell lines A375 was analyzed. A375 cells were treated with naringin, 5-fluorouracil alone, and combination. MTT assay and cell viability assays was demonstrated to detect the inhibitory effects of naringin or 5-fluorouracil on cell proliferation. mRNA expression of TNFα, IL-6, IL-1β, and NFκB were determined using quantitative RT-PCR.  The effect of naringin and 5-fluorouracil combination significantly inhibited the growth and proliferation of the A375 cells in a concentration dependent manner with the IC50 values of naringin (24.75 μM) 5-fluorouracil (2.5 μM). The combination of naringin+5-fluorouracil on A375 cell lines at a concentration of half IC50 values (12µM+1 μM). Naringin and 5-fluorouracil combination also decreased the level of TNFα, IL-6, IL-1β, and NFκB mRNA in the A375 cell line. Naringin and 5-fluorouracil exerted anti-inflammatory effect through the suppression of NF-kB, IL-1β, TNFα, IL-6 in A375 cells. Taken together, our results suggested that treating A375 with naringin and 5-fluorouracil combination may have future applications in treating skin cancers through its anti-inflammatory effect.


2010 ◽  
Vol 32 (5) ◽  
pp. 669-673 ◽  
Author(s):  
Fuxian Yu ◽  
Jigui Wang ◽  
Peng Zhang ◽  
Yan Hong ◽  
Weiquan Liu

2016 ◽  
Vol 45 (9) ◽  
pp. 3927-3935 ◽  
Author(s):  
Anoop Kumar Saini ◽  
Mansi Srivastava ◽  
Vinay Sharma ◽  
Veenu Mishra ◽  
Shaikh M. Mobin

A new ligand (H2L) was synthesized and designed for sensing properties. H2L shows fluorescence ‘switch ON’ with Zn2+ ions with a detection limit of 1.47 μM. The H2L and 1 showed marginal toxicity against MCF-7 and A375 cell lines.


2014 ◽  
Vol 07 (08) ◽  
pp. 504-515 ◽  
Author(s):  
Radu Anghel ◽  
Daniela Jitaru ◽  
Laurentiu Badescu ◽  
Manuela Ciocoiu ◽  
Magda Badescu

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