Selenium-binding protein 1 is down-regulated in malignant melanoma

Schott, M.; Jel, Miriam M. de; Engelmann, Julia C.; Renner, Philipp; Geissler, Edward K.; Bosserhoff, Anja‐Katrin; Kuphal, Silke

doi:10.18632/oncotarget.23853

Cited by 27 publications

(26 citation statements)

References 35 publications

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“…SELENBP1 physically and functionally interacts with the H 2 O 2 -reducing selenoenzyme glutathione peroxidase 1 (GPx1), reciprocally interfering with GPx1 expression and activity [10] , [32] . Compared to preadipocytes, mature 3T3-L1 adipocytes show lower GPx activity [33] .…”

Section: Resultsmentioning

confidence: 99%

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Selenium-binding protein 1 (SELENBP1) is a marker of mature adipocytes

et al. 2019

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Selenium-binding protein 1 (SELENBP1) has recently been reported to catalyse the oxidation of methanethiol, an organosulfur compound produced by gut microbiota. Two of the reaction products of methanethiol oxidation, hydrogen peroxide and hydrogen sulphide, serve as signalling molecules for cell differentiation. Indeed, colonocyte differentiation has been found to be associated with SELENBP1 induction. Here, we show that SELENBP1 is induced when 3T3-L1 preadipocytes undergo terminal differentiation and maturation to adipocytes. SELENBP1 induction succeeded the up-regulation of known marker proteins of white adipocytes and the intracellular accumulation of lipids. Immunofluorescence microscopy revealed predominant cytoplasmic localisation of SELENBP1 in 3T3-L1 adipocytes, as demonstrated by co-staining with the key lipogenic enzyme, acetyl-CoA-carboxylase (ACC), located in cytosol. In differentiating 3T3-L1 cells, the mTOR inhibitor rapamycin and the pro-inflammatory cytokine tumour necrosis factor alpha (TNF-α) likewise suppressed SELENBP1 induction, adipocyte differentiation and lipid accumulation. However, lipid accumulation per se is not linked to SELENBP1 induction, as hepatic SELENBP1 was down-regulated in high fructose-fed mice despite increased lipogenesis in the liver and development of non-alcoholic fatty liver disease (NAFLD). In conclusion, SELENBP1 is a marker of cell differentiation/maturation rather than being linked to lipogenesis/lipid accumulation.

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Section: Resultsmentioning

confidence: 99%

“…SELENBP1 has attracted attention due to its pronounced down-regulation in cancers. For patients, low SELENBP1 levels in tumour tissue are associated with poor prognosis [4] , [8] , [9] , [10] , [11] .…”

Section: Introductionmentioning

confidence: 99%

Selenium-binding protein 1 (SELENBP1) is a marker of mature adipocytes

et al. 2019

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“…One of the striking observations about SBP1 is the diversity of the types of cancers in which SBP1 was found to be reduced compared to normal or benign tissues (reviewed in [ 43 ]), including cancers of the thyroid [ 44 ], lung [ 45 ], stomach [ 46 , 47 ], liver [ 41 ], kidney [ 48 ], ovary [ 49 , 50 , 51 ], breast [ 52 ], prostate [ 53 , 54 ], colon [ 55 , 56 ], head and neck [ 57 ], and malignant melanoma [ 58 ]. In addition to being lower in cancers, the degree of reduction of SBP1 in resected tissues is often predictive of how long a patient will be cancer free and survive their disease [ 43 ].…”

Section: Sbp1 Levels Are Reduced In Cancer and Low Levels Are Predmentioning

confidence: 99%

Selenium-Binding Protein 1 in Human Health and Disease

Elhodaky

Diamond

2018

IJMS

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Selenium-binding protein 1 (SBP1) is a highly conserved protein that covalently binds selenium. SBP1 may play important roles in several fundamental physiological functions, including protein degradation, intra-Golgi transport, cell differentiation, cellular motility, redox modulation, and the metabolism of sulfur-containing molecules. SBP1 expression is often reduced in many cancer types compared to the corresponding normal tissues and low levels of SBP1 are frequently associated with poor clinical outcome. In this review, the transcriptional regulation of SBP1, the different physiological roles reported for SBP1, as well as the implications of SBP1 function in cancer and other diseases are presented.

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“…As shown in [50], the decreased SELENBP1 is an early event in LUSC, and it can act as a novel potential biomarker for early detection of LUSC. Moreover, SELENBP1 is downregulated in many cancer types, such as Lung cancer according to [51][52][53][54].…”

Section: Enrichment Analysismentioning

confidence: 99%

Building an Ensemble Feature Selection Approach for Cancer Microarray Datasets Using Different Classifiers

Sayed¹,

Nassef²,

Badr³

et al. 2019

IJIES

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The challenge of processing the Microarray datasets with its high dimensionality opened multiple research directions. Different feature selection techniques have been employed to reduce the dimensionality of such Microarray datasets before being attempted by classification algorithms. This study presents an ensemble feature selection approach based on t-test and Genetic Algorithm with five different classification algorithms as its fitness function: Support Vector Machine, Random Forest, Nearest Centroid, K Nearest Neighbour, and Maximum Likelihood with 5fold cross validation. The proposed approach has been applied on two different datasets for Lung cancer; Microarray Gene Expression and DNA methylation datasets aiming to find the Lung cancer biomarker genes. The experimental results showed that the three genes (DLX5, KRT5, and SELENBP1) resulted from processing both datasets have higher classification accuracy (92.31%) compared to separately processing the Gene Expression and the DNA methylation datasets with accuracies 90.38% and 86.54% respectively. Moreover, the classification accuracy achieved using the three aforementioned genes could not be achieved by other research studies unless by using more genes.

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Selenium-binding protein 1 is down-regulated in malignant melanoma

Cited by 27 publications

References 35 publications

Selenium-binding protein 1 (SELENBP1) is a marker of mature adipocytes

Selenium-binding protein 1 (SELENBP1) is a marker of mature adipocytes

Selenium-Binding Protein 1 in Human Health and Disease

Building an Ensemble Feature Selection Approach for Cancer Microarray Datasets Using Different Classifiers

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