Analysis of interactions with mitochondrial mRNA using mutant forms of yeast NAD(+)-specific isocitrate dehydrogenase

Yeast Mitochondrial Translation Initiation Factor 3 Interacts with Pet111p to Promote COX2 mRNA Translation

Mitochondrial genomes code for several core components of respiratory chain complexes. Thus, mitochondrial translation is of great importance for the organelle as well as for the whole cell. In yeast, mitochondrial translation initiation factor 3, Aim23p, is not essential for the organellar protein synthesis; however, its absence leads to a significant quantitative imbalance of the mitochondrial translation products. This fact points to a possible specific action of Aim23p on the biosynthesis of some mitochondrial protein species. In this work, we examined such peculiar effects of Aim23p in relation to yeast mitochondrial COX2 mRNA translation. We show that Aim23p is indispensable to this process. According to our data, this is mediated by Aimp23p interaction with the known specific factor of the COX2 mRNA translation, Pet111p. If there is no Aim23p in the yeast cells, an increased amount of Pet111p ensures proper COX2 mRNA translation. Our results demonstrate the additional non-canonical function of initiation factor 3 in yeast mitochondrial translation.

Suppression of metabolic defects of yeast isocitrate dehydrogenase and aconitase mutants by loss of citrate synthase

Yeast mutants lacking mitochondrial NAD(+)-specific isocitrate dehydrogenase (idhDelta) or aconitase (aco1Delta) were found to share several growth phenotypes as well as patterns of specific protein expression that differed from the parental strain. These shared properties of idhDelta and aco1Delta strains were eliminated or moderated by co-disruption of the CIT1 gene encoding mitochondrial citrate synthase. Gas chromatography/mass spectrometry analyses indicated a particularly dramatic increase in cellular citrate levels in idhDelta and aco1Delta strains, whereas citrate levels were substantially lower in idhDeltacit1Delta and aco1Deltacit1Delta strains. Exogenous addition of citrate to parental strain cultures partially recapitulated effects of high endogenous levels of citrate in idhDelta and aco1Delta strains. Finally, effects of elevated cellular citrate in idhDelta and aco1Delta mutant strains were partially alleviated by addition of iron or by an increase in pH of the growth medium, suggesting that detrimental effects of citrate are due to elevated levels of the ionized form of this metabolite.

Crystal structure of the E1 component of the Escherichia coli 2-oxoglutarate dehydrogenase multienzyme complex

The thiamine-dependent E1o component (EC 1.2.4.2) of the 2-oxoglutarate dehydrogenase complex catalyses a rate-limiting step of the tricarboxylic acid cycle (TCA) of aerobically respiring organisms. We describe the crystal structure of Escherichia coli E1o in its apo and holo forms at 2.6 A and 3.5 A resolution, respectively. The structures reveal the characteristic fold that binds thiamine diphosphate and resemble closely the alpha(2)beta(2) hetero-tetrameric E1 components of other 2-oxo acid dehydrogenase complexes, except that in E1o, the alpha and beta subunits are fused as a single polypeptide. The extended segment that links the alpha-like and beta-like domains forms a pocket occupied by AMP, which is recognised specifically. Also distinctive to E1o are N-terminal extensions to the core fold, and which may mediate interactions with other components of the 2-oxoglutarate dehydrogenase multienzyme complex. The active site pocket contains a group of three histidine residues and one serine that appear to confer substrate specificity and the capacity to accommodate the TCA metabolite oxaloacetate. Oxaloacetate inhibits E1o activity at physiological concentrations, and we suggest that the inhibition may allow coordinated activity within the TCA cycle. We discuss the implications for metabolic control in facultative anaerobes, and for energy homeostasis of the mammalian brain.

Physiological consequences of loss of allosteric activation of yeast NAD+-specific isocitrate dehydrogenase

Based on allosteric regulatory properties, NAD+-specific isocitrate dehydrogenase (IDH) is believed to control flux through the tricarboxylic acid cycle in vivo. To distinguish growth phenotypes associated with regulatory dysfunction of this enzyme in Saccharomyces cerevisiae, we analyzed strains expressing well defined mutant forms of IDH or a non-allosteric bacterial NAD+-specific isocitrate dehydrogenase (IDHa). As previously reported, expression of mutant forms of IDH with severe catalytic defects but intact regulatory properties produced an inability to grow with acetate as the carbon source and a dramatic increase in the frequency of generation of petite colonies, phenotypes also exhibited by a strain (idh1Deltaidh2Delta) lacking IDH. Reduced growth rates on acetate medium were also observed with expression of enzymes with severe regulatory defects or of the bacterial IDHa enzyme, suggesting that allosteric regulation is also important for optimal growth on this carbon source. However, expression of IDHa produced no effect on petite frequency, suggesting that the intermediate petite frequencies observed for strains expressing regulatory mutant forms of IDH are likely to correlate with the slight reductions in catalytic efficiency observed for these enzymes. Finally, rates of increase in oxygen consumption were measured during culture shifts from medium with glucose to medium with ethanol as the carbon source. Strains expressing wild-type or catalytically deficient mutant forms of IDH exhibited rapid respiratory transitions, whereas strains expressing regulatory mutant forms of IDH or the bacterial IDHa enzyme exhibited much slower respiratory transitions. This suggests an important physiological role for allosteric activation of IDH during changes in environmental conditions.

Survey of the year 2005 commercial optical biosensor literature

We identified 1113 articles (103 reviews, 1010 primary research articles) published in 2005 that describe experiments performed using commercially available optical biosensors. While this number of publications is impressive, we find that the quality of the biosensor work in these articles is often pretty poor. It is a little disappointing that there appears to be only a small set of researchers who know how to properly perform, analyze, and present biosensor data. To help focus the field, we spotlight work published by 10 research groups that exemplify the quality of data one should expect to see from a biosensor experiment. Also, in an effort to raise awareness of the common problems in the biosensor field, we provide side-by-side examples of good and bad data sets from the 2005 literature.