Phase transition of three-dimensional finite-sized charged dust clusters in a plasma environment

The dynamics of a harmonically trapped three-dimensional Yukawa ball of charged dust particles immersed in plasma is investigated as function of external magnetic field and Coulomb coupling parameter using molecular dynamics simulation. It is shown that the harmonically trapped dust particles organize themselves into nested spherical shells. The particles start rotating in a coherent order as the magnetic field reaches a critical value corresponding to the coupling parameter of the system of dust particles. The magnetically controlled charged dust cluster of finite size undergoes a first-order phase transition from disordered to ordered phase. At sufficiently high coupling and strong magnetic field, the vibrational mode of this finite-sized charged dust cluster freezes, and the system retains only rotational motion.Comment: 9 pages, 8 figure

Generating functions and congruences for 9-regular and 27-regular partitions in 3 colours

Let $b_{\ell;3}(n)$ denote the number of $\ell$-regular partitions of $n$ in 3 colours. In this paper, we find some general generating functions and new infinite families of congruences modulo arbitrary powers of $3$ when $\ell\in\{9,27\}$. For instance, for positive integers $n$ and $k$, we have\begin{align*}b_{9;3}\left(3^k\cdot n+3^k-1\right)&\equiv0~\left(\mathrm{mod}~3^{2k}\right),\\b_{27;3}\left(3^{2k+3}\cdot n+\dfrac{3^{2k+4}-13}{4}\right)&\equiv0~\left(\mathrm{mod}~3^{2k+5}\right).\end{align*

Analyse von Hefeperoxisomen durch Spatial Proteomik

Peroxisomes are ubiquitous organelles with essential functions in numerous cellular processes such as lipid metabolism, detoxification of reactive oxygen species and signaling. Knowledge of the peroxisomal proteome including multi-localized proteins and, most importantly, changes of its composition induced by altering cellular conditions or impaired peroxisome biogenesis and function is of paramount importance for a holistic view on peroxisomes and their diverse functions in a cellular context. In this chapter, we provide a spatial proteomics protocol specifically tailored to the analysis of the peroxisomal proteome of baker's yeast that enables the definition of the peroxisomal proteome under distinct conditions and to monitor dynamic changes of the proteome including the relocation of individual proteins to a different cellular compartment. The protocol comprises subcellular fractionation by differential centrifugation followed by Nycodenz density gradient centrifugation of a crude peroxisomal fraction, quantitative mass spectrometric measurements of subcellular and density gradient fractions and advanced computational data analysis, resulting in the establishment of organellar maps on a global scale

Polymorphisms in DNA repair genes increase the risk for type 2 diabetes mellitus and hypertension

We investigated the effect of polymorphisms in four DNA repair genes, viz. RAD18 Arg302Gln (G>A) (rs373572), XPD Asp312Asn (G>A) (rs1799793), APE1 Asp148Glu (T>G) (rs3136820), and OGG1 Ser326Cys (C>G) (rs1052133) on the risk for type 2 diabetes mellitus (T2DM) and hypertension (HT) in association with smoking, tobacco chewing, and alcohol consumption in a population from Northeast India. The study subjects were comprised of 70 patients suffering from both T2DM and HT and 83 healthy controls. Genotyping was performed using ARMS-PCR for XPD Asp312Asn (G>A) and PCR-CTPP for RAD18 Arg302Gln (G>A), APE1 Asp148Glu (T>G) and OGG1 Ser326Cys (C>G). The RAD18 Gln/Gln genotype was found to significantly increase the risk for T2DM and HT by 30 fold. Significant high risk was observed for individuals with XPD Asn/Asn-RAD18 Arg/Gln genotypes. Smoking was found to be the single most important independent risk factor for T2DM and HT. This study concludes that RAD18 Arg302Gln and XPD Asp312Asn polymorphisms might increase the risk for T2DM and HT in association with smoking, tobacco chewing, and/or alcohol consumption, while APE1 Asp148Glu (T>G) and OGG1 Ser326Cys (C>G) polymorphisms do not contribute to such risk