scholarly journals Localization of nuclear actin in nuclear lipid microdomains of liver and hepatoma cells: Possible involvement of sphingomyelin metabolism

2017 ◽  
Vol 1 (2) ◽  
pp. 155-158
Author(s):  
Samuela Cataldi ◽  
Andrea Lazzarini ◽  
Michela Codini ◽  
Giacomo Cascianelli ◽  
Alessandro Floridi ◽  
...  
Keyword(s):  
Cancer Cells ◽  
Nuclear Membrane ◽  
Hepatoma Cell ◽  
Nuclear Actin ◽  
Cell Nuclei ◽  
Human Hepatoma Cell ◽  
Lipid Microdomains ◽  
Sphingomyelin Synthase ◽  
The Difference

Abstract Nuclear actin has been implicated in different nuclear functions. In this work, its localization in nuclear membrane, chromatin and nuclear lipid microdomains was investigated. The implication of sphingomyelin metabolism was studied. Nuclear membrane, chromatin and nuclear lipid microdomains were purified from hepatocyte nuclei and H35 human hepatoma cell nuclei. The presence of β-actin was analyzed with immunoblotting by using specific antibodies. Sphingomyelinase, sphingomyelin-synthase, and phosphatidylcholine-specific phospholipase C activities were assayed by using radioactivity sphingomyelin and phosphatidylcholine as substrate. The results showed that β-actin is localized in nuclear lipid microdomains and it increases in cancer cells. Evidence is provided to the difference of phosphatidylcholine and sphingomyelin metabolism in various subnuclear fractions of cancer cell nuclei compared with normal cells. Our findings show increase of sphingomyelin-synthase and inhibition of sphingomyelinase activity only in nuclear lipid microdomains. Nuclear lipid microdomains, constituted by phosphatidylcholine, sphingomyelin and cholesterol, play a role as platform for β-actin anchoring. Possible role of sphingomyelin metabolism in cancer cells is discussed.

scholarly journals Role of hydrogen peroxide in hypoxia-induced erythropoietin production

1994 ◽  
Vol 303 (2) ◽  
pp. 507-510 ◽  
Author(s):  
J Fandrey ◽  
S Frede ◽  
W Jelkmann
Keyword(s):  
Hepg2 Cells ◽  
Hepatoma Cell ◽  
Inhibitory Effect ◽  
Hepatoma Cell Line ◽  
Human Hepatoma Cell ◽  
Endogenous Production ◽  
Hepatoma Cell Line Hepg2 ◽  
Haem Protein ◽  
Exogenous H2o2

The addition of exogenous H2O2 inhibited hypoxia-induced erythropoietin (Epo) production in the human hepatoma cell line HepG2. Likewise, elevation of endogenous H2O2 levels by the addition of menadione or the catalase inhibitor, aminotriazole, dose-dependently lowered Epo production. The inhibitory effect of exogenous H2O2 on Epo formation could be completely overcome by co-incubation with catalase. When GSH levels in HepG2 cells were lowered, Epo production was more susceptible to H2O2-induced inhibition, indicating that H2O2 might affect thiol groups in regulatory proteins. Endogenous production of H2O2 in HepG2 cells was dependent on the pericellular O2 tension, being lowest under conditions of hypoxia. Our results support the hypothesis that an H2O2-generating haem protein might be part of the O2 sensor that controls Epo production. High H2O2 levels under conditions of normoxia suppress, whereas lower levels in hypoxic cells allow epo gene expression.

Role of ATP7B in biliary copper excretion in a human hepatoma cell line and normal rat hepatocytes

2000 ◽  
Vol 118 (5) ◽  
pp. 921-928 ◽  
Author(s):  
Masaru Harada ◽  
Shotaro Sakisaka ◽  
Kunihiko Terada ◽  
Rina Kimura ◽  
Takumi Kawaguchi ◽  
...  
Keyword(s):  
Cell Line ◽  
Hepatoma Cell ◽  
Rat Hepatocytes ◽  
Hepatoma Cell Line ◽  
Human Hepatoma ◽  
Human Hepatoma Cell ◽  
Copper Excretion ◽  
Human Hepatoma Cell Line ◽  
Normal Rat

scholarly journals Classification of hyperspectral images for detection of hepatic carcinoma cells based on spectral–spatial features of nucleus

2019 ◽  
Vol 13 (01) ◽  
pp. 2050002
Author(s):  
Yao Chen ◽  
Siqi Zhu ◽  
Shenhe Fu ◽  
Zhen Li ◽  
Furong Huang ◽  
...  
Keyword(s):  
Cancer Cells ◽  
Spatial Data ◽  
Correlation Coefficients ◽  
Support Vector ◽  
Transmission Spectra ◽  
Cell Nuclei ◽  
Hepatic Carcinoma ◽  
Spatial Features ◽  
Svm Model ◽  
The Difference

A distinguishing characteristic of normal and cancer cells is the difference in their nuclear chromatin content and distribution. This difference can be revealed by the transmission spectra of nuclei stained with a pH-sensitive stain. Here, we used hematoxylin–eosin (HE) to stain hepatic carcinoma tissues and obtained spectral–spatial data from their nuclei using hyperspectral microscopy. The transmission spectra of the nuclei were then used to train a support vector machine (SVM) model for cell classification. Especially, we found that the chromatin distribution in cancer cells is more uniform, because of which the correlation coefficients for the spectra at different points in their nuclei are higher. Consequently, we exploited this feature to improve the SVM model. The sensitivity and specificity for the identification of cancer cells could be increased to 99% and 98%, respectively. We also designed an image-processing method for the extraction of information from cell nuclei to automate the identification process.

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