Search PubMed⌕ Search

Biomedical subjects

Sven Vogel

Publications and source records attributed to Sven Vogel.

2 recordsLinked to original sources

Multiple genetic and biochemical interactions of Brr2, Prp8, Prp31, Prp1 and Prp4 kinase suggest a function in the control of the activation of spliceosomes in Schizosaccharomyces pombe.

The spliceosomal component Prp1 (U5-102 kD) is found in Schizosaccharomyces pombe, a physiological substrate of Prp4 kinase. Here, we identify, spp41-1, a previously isolated extragenic suppressor of Prp4 kinase. The gene encodes an ATP-dependent RNA helicase homologous to the splicing factor Brr2 of Saccharomyces cerevisiae and U5-200 kD of mammalia. The suppressor allele, spp41-1, interacts genetically with alleles of prp1. We show that Prp1 and Brr2 are complexed in vivo with spliceosomal particles containing the five snRNAs U1, U2, U5, and base-paired U4/U6. Prp1 was found exclusively in small ribonucleoprotein particle (snRNP) complexes sedimenting in the range of 30S-60S, whereas Brr2 was also found sedimenting lower than 30S and free of snRNAs. Moreover, we find that the splicing factor Prp31 is complexed with Prp1 in the same spliceosomal particles containing the five snRNAs. These data indicate that in fission yeast spliceosomal particles larger than 30S exist, which can be considered as pre-catalytic spliceosomes. In addition, we show that S. pombe cells lacking Prp1 still contain these large pre-catalytic spliceosomal particles associated with Prp31. These data are consistent with the notion that in fission yeast phosphorylation of Prp1 by Prp4 kinase is involved in the activation of pre-catalytic spliceosomes.

Amino Acid Sequence↗

Universal application-specific integrated circuit for bioelectric data acquisition.

Use of highly integrated application specific circuits (ASICs) in bioelectric data acquisition systems promise important new insights into the origin of a large variety of health problems by providing light-weight, low-power, low-cost medical measurement devices that allow long-term studies. They also promise significant cost reduction in medical care, as patients in principle become mobile and do not have to be hospitalized for observation. We report on the development and successful implementation of a universal ASIC, designed to meet key characteristics of a broad variety of bioelectric signals in terms of their dynamic range, sampling rate and input referred noise; e.g. electrocardiogram (ECG), electroencephalogram (EEG) and, most constringently, evoked potentials (EPs). Our approach for the first time makes cost-effective use of state-of-the-art microelectronics in medical measurement equipment, thus offering to replace discrete, single application devices used at present.

Amplifiers, Electronic↗