breast cell line
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2021 ◽  
Vol 350 ◽  
pp. S80
Author(s):  
L. Coppola ◽  
S. Tait ◽  
M. Perugini ◽  
E. Fabbrizi ◽  
C. La Rocca

2021 ◽  
Author(s):  
Nuno Vale ◽  
Sara Silva ◽  
Diana Duarte ◽  
Diana M. A. Crista ◽  
Luís Pinto da Silva ◽  
...  

The human normal breast cell line MCF-10A is being widely used as a model in toxicity studies due to its structural similarity to the normal human mammary epithelium.


2020 ◽  
Vol 117 (46) ◽  
pp. 28925-28929
Author(s):  
Rabih Darwiche ◽  
Kevin Struhl

Cellular transformation is associated with dramatic changes in gene expression, but it is difficult to determine which regulated genes are oncogenically relevant. Here we describe Pheno-RNA, a general approach to identifying candidate genes associated with a specific phenotype. Specifically, we generate a “phenotypic series” by treating a nontransformed breast cell line with a wide variety of molecules that induce cellular transformation to various extents. By performing transcriptional profiling across this phenotypic series, the expression profile of every gene can be correlated with the strength of the transformed phenotype. We identify ∼200 genes whose expression profiles are very highly correlated with the transformation phenotype, strongly suggesting their importance in transformation. Within biological categories linked to cancer, some genes show high correlations with the transformed phenotype, but others do not. Many genes whose expression profiles are highly correlated with transformation have never been associated with cancer, suggesting the involvement of heretofore unknown genes in cancer.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yousef Risha ◽  
Zoran Minic ◽  
Shahrokh M. Ghobadloo ◽  
Maxim V. Berezovski

2020 ◽  
Author(s):  
Rabih Darwiche ◽  
Kevin Struhl

ABSTRACTCellular transformation is associated with dramatic changes in gene expression, but it is difficult to determine which regulated genes are oncogenically relevant. Here, we describe Pheno-RNA, a general approach to identify candidate genes associated with a specific phenotype. Specifically, we generate a “phenotypic series” by treating a non-transformed breast cell line with a wide variety of molecules that induce cellular transformation to various extents. By performing transcriptional profiling across this phenotypic series, the expression profile of every gene can be correlated with the transformed phenotype. We identify ~200 genes whose expression profiles are very highly correlated with the transformation phenotype, strongly suggesting their importance in transformation. Within biological categories linked to cancer, some genes show high correlations with the transformed phenotype, but others do not. Many genes whose expression profiles are highly correlated with transformation have never been linked to cancer, suggesting the involvement of heretofore unknown genes in cancer.


2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Hanane Makrane ◽  
Mouhcine El Messaoudi ◽  
Ahmed Melhaoui ◽  
Mohammed El Mzibri ◽  
Laila Benbacer ◽  
...  

The toxicity of the aqueous extract of Origanum majorana was tested (5 and 10 g/kg) in albino mice. No symptoms of toxicity or mortality were observed. The mice survived being active and healthy during all 14 days of observation. In addition, the weight measurement of the left and right kidneys, heart, and liver shows no significant difference between the control, 5 g/kg, and 10 g/kg. All extracts (aqueous, petroleum ether, dichloromethane, ethyl acetate, methanolic, and depleted aqueous extracts) of Origanum majorana tested against both types of cancer cells showed a more pronounced cytotoxic effect against breast cell line MDA-MB-231 than colon cells line HT-29 cells. The most marked effect is that of the ethyl acetate extract with IC50 30.90 ± 1.39 and 50.11 ± 1.44 (µg/ml), respectively. HPLC analysis of extracts from Origanum majorana showed that this plant contained polyphenols and flavonoids, which may be responsible for the biological activities found.


FEBS Journal ◽  
2016 ◽  
Vol 283 (9) ◽  
pp. 1669-1688 ◽  
Author(s):  
Felix Broecker ◽  
Christopher Hardt ◽  
Ralf Herwig ◽  
Bernd Timmermann ◽  
Martin Kerick ◽  
...  

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