Martin Luther University of Halle-Wittenberg

About: Martin Luther University of Halle-Wittenberg is a education organization based out in Halle, Germany. It is known for research contribution in the topics: Population & Liquid crystal. The organization has 20232 authors who have published 38773 publications receiving 965004 citations. The organization is also known as: MLU & University of Wittenberg.

Frequent epigenetic inactivation of the RASSF1A gene in hepatocellular carcinoma.

Abstract: Aberrant promoter methylation is a fundamental mechanism of inactivation of tumor suppressor genes in cancer. The Ras association domain family 1A gene (RASSF1A) is frequently epigenetically silenced in several types of human solid tumors. In this study, we have investigated the expression and methylation status of the RASSF1A gene in hepatocellular carcinoma (HCC). In two HCC cell lines (HepG2 and Hep3B) RASSF1A was inactivated and treatment of these cell lines with a DNA methylation inhibitor reactivated the transcription of RASSF1A. The methylation status of the RASSF1A promoter region was analysed in 26 primary liver tissues including HCC, hepatocellular adenoma (HCA), liver fibrosis, hepatocirrhosis. Out of 15, 14 (93%) HCC were methylated at the RASSF1A CpG island and hypermethylation was independent of hepatitis virus infection. RASSF1A was also methylated in two out of two fibrosis and in three (75%) out of four cirrhosis; the latter carries an increased risk of developing HCC. Additionally, we analysed the methylation status of p16INK4a and other cancer-related genes in the same liver tumors. Aberrant methylation in the HCC samples was detected in 71% of samples for p16, 25% for TIMP3, 17% for PTEN, 13% for CDH1, and 7% for RARβ2. In conclusion, our results demonstrate that RASSF1A and p16INK4a inactivation by methylation are frequent events in hepatocellular carcinoma, but not in HCA, which is in contrast to HCC without cirrhosis, viral hepatitis, storage diseases, or genetic background. Therefore, this study gives additional evidence against a progression of adenoma to carcinoma in the liver. Thus, RASSF1A hypermethylation could be useful as a marker of malignancy and to distinguish between the distinct forms of highly differentiated liver neoplasm.

Efficient first-principles prediction of solid stability: Towards chemical accuracy

Abstract: The question of material stability is of fundamental importance to any analysis of system properties in condensed matter physics and materials science. The ability to evaluate chemical stability, i.e., whether a stoichiometry will persist in some chemical environment, and structure selection, i.e. what crystal structure a stoichiometry will adopt, is critical to the prediction of materials synthesis, reactivity and properties. Here, we demonstrate that density functional theory, with the recently developed strongly constrained and appropriately normed (SCAN) functional, has advanced to a point where both facets of the stability problem can be reliably and efficiently predicted for main group compounds, while transition metal compounds are improved but remain a challenge. SCAN therefore offers a robust model for a significant portion of the periodic table, presenting an opportunity for the development of novel materials and the study of fine phase transformations even in largely unexplored systems with little to no experimental data.

Heuristics for the integer one-dimensional cutting stock problem: A computational study

Abstract: In this paper the problem of generating integer solutions to the standard one-dimensional cutting stock problem is treated. In particular, we study a specific class of heuristic approaches that have been proposed in the literature, and some straightforward variants. These methods are compared with respect to solution quality and computing time. Our evaluation is based on having solved 4,000 randomly generated test problems. Not only will it be shown that two methods are clearly superior to the others but also that they solve almost any instance of the standard one-dimensional cutting stock problem to an optimum.