Characterization of a novel cis‐benzene dihydrodiol dehydrogenase from Pseudomonas putida ML2Fong, Karen P.Y; Tan, Hai-Meng
doi: 10.1016/S0014-5793(99)00520-7pmid: 10356973
A second and novel cis‐benzene dihydrodiol dehydrogenase which is able to dehydrogenate a range of cis‐dihydrodiols and other vicinal alcohols has been purified from Pseudomonas putida ML2. The enzyme is a tetramer of a polypeptide of 39 kDa in molecular mass and has a pH optimum of 9.0. Despite having a primary structure that has significant similarity to glycerol dehydrogenases, the k
cat/K
m value of the enzyme for cis‐benzene dihydrodiol is 4300‐fold higher compared to glycerol. The apparent K
m values of the enzyme for cis‐benzene dihydrodiol and glycerol are 0.01 mM and 46 mM, respectively, and 0.22 mM for NAD+.
A downstream splicing enhancer is essential for in vitro pre‐mRNA splicingYue, Bai-Gong; Akusjärvi, Göran
doi: 10.1016/S0014-5793(99)00521-9pmid: 10356974
Splicing enhancers have previously been shown to promote processing of introns containing weak splicing signals. Here, we extend these studies by showing that also ‘strong’ constitutively active introns are absolutely dependent on a downstream splicing enhancer for activity in vitro. SR protein binding to exonic enhancer elements or U1 snRNP binding to a downstream 5′ splice site serve redundant functions as activators of splicing. We further show that a 5′ splice site is most effective as an enhancer of splicing. Thus, a 5′ splice site is functional in S100 extracts, under conditions where a SR enhancer is non‐functional. Also, splice site pairing occurs efficiently in the absence of exonic SR enhancers, emphasizing the significance of a downstream 5′ splice site as the enhancer element in vertebrate splicing.
Prediction of protein subcellular locations using Markov chain modelsYuan, Zheng
doi: 10.1016/S0014-5793(99)00506-2pmid: 10356977
A novel method was introduced to predict protein subcellular locations from sequences. Using sequence data, this method achieved a prediction accuracy higher than previous methods based on the amino acid composition. For three subcellular locations in a prokaryotic organism, the overall prediction accuracy reached 89.1%. For eukaryotic proteins, prediction accuracies of 73.0% and 78.7% were attained within four and three location categories, respectively. These results demonstrate the applicability of this relative simple method and possible improvement of prediction for the protein subcellular location.
Assembly of paired helical filaments from mouse tau: implications for the neurofibrillary pathology in transgenic mouse models for Alzheimer's diseaseKampers, T.; Pangalos, M.; Geerts, H.; Wiech, H.; Mandelkow, E.
doi: 10.1016/S0014-5793(99)00522-0pmid: 10356980
In Alzheimer's disease and related dementias, human tau protein aggregates into paired helical filaments and neurofibrillary tangles. However, such tau aggregates have not yet been demonstrated in transgenic mouse models of the disease. One of the possible explanations would be that mouse tau has different properties which prevents it from aggregating. We have cloned several murine tau isoforms, containing three or four repeats and different combinations of inserts, expressed them in Escherichia coli and show here that they can all be assembled into paired helical filaments similar to those in Alzheimer's disease, using the same protocols as with human tau. Therefore, the absence of pathologically aggregated tau in transgenic mice cannot be explained by intrinsic differences in mouse tau protein and instead must be explained by other as yet unknown factors.