Association with endoplasmic reticulum promotes proteasomal degradation of GADD34 protein

Stress-induced endogenous and ectopically expressed GADD34 proteins were present both in the cytoplasm and in membranes, with their membrane association showing similar biochemical properties. Deletion of N-terminal sequences in GADD34-GFP proteins highlighted an amphipathic helix, whose hydrophobic surface, specifically valine 25 and leucine 29, mediated endoplasmic reticulum (ER) localization. Substitution of leucines for three arginines on the polar surface indicated that the same helix also mediated the association of GADD34 with mitochondria. Fluorescence protease protection and chemical modification of cysteines substituted in the membrane-binding domain pointed to a monotopic insertion of GADD34 into the outer layer of the ER membrane. Fluorescence recovery after photobleaching showed that ER association retards the mobility of GADD34 in living cells. Both WT GADD34 and the mutant, V25R, effectively scaffolded the α-isoform of protein phosphatase-1 (PP1α) and enabled eIF2α dephosphorylation. However, the largely cytosolic V25R protein displayed a reduced rate of proteasomal degradation, and unlike WT GADD34, whose ectopic expression resulted in a dilated or distended ER, V25R did not modify ER morphology. These studies suggested that the association of with ER modulates intracellular trafficking and proteasomal degradation of GADD34, and in turn, its ability to modify ER morphology.     

Bacterial degrons in synthetic circuits

Bacterial proteases are a promising post-translational regulation strategy in synthetic circuits because they recognize specific amino acid degradation tags (degrons) that can be fine-tuned to modulate the degradation levels of tagged proteins. For this reason, recent efforts have been made in the search for new degrons. Here we review the up-to-date applications of degradation tags for circuit engineering in bacteria. In particular, we pay special attention to the effects of degradation bottlenecks in synthetic oscillators and introduce mathematical approaches to study queueing that enable the quantitative modelling of proteolytic queues.     

Estimation of genetic variability and population structure in Sapindus trifoliatus L., using DNA fingerprinting methods

Genetic variability and population structure of Sapindus trifoliatus L. (Sapindaceae), collected from Gujarat, Karnataka and Uttar Pradesh states were estimated using three DNA fingerprinting methods viz., random amplified polymorphic DNA (RAPD), directed amplification of minisatellite DNA (DAMD) and inter-simple sequence repeats (ISSR). The cumulative data analysis carried out for all three markers showed 69.42 % polymorphism. The intra-population genetic diversity analysis revealed the highest values of Nei’s genetic diversity (0.16), Shannon information index (0.24) and polymorphic loci (43.99 %) among Bhavnagar (BH) population, whereas lowest values were found in Junagarh (JU) population. The maximum inter-population average genetic distance (0.20) was between Allahabad (AL) and JU populations. Analysis of molecular variance (AMOVA) showed highest percentage of variation among individuals of populations (56 %) followed by 25 % among populations and 19 % among regions. Principal coordinate analysis and UPGMA dendrogram revealed that genetic diversity was in congruence with the geographical diversity. The data strongly suggest that low genetic flow, geographic isolation and to some extent genetic drift are the major factors responsible for high genetic differentiation. Preservation of genetic diversity of S. trifoliatus is important, both to promote adaptability of the populations to changing environment as well as to preserve a large gene pool for future genetic improvement. The present study using RAPD, DAMD and ISSR profiles of S. trifoliatus provide the means of rapid characterization of accessions within the populations, and thus enable the selection of appropriate accessions for further utilization in conservation and prospection programs of this important plant genetic resource.     

G protein-coupled receptors form stable complexes with inwardly rectifying potassium channels and adenylyl cyclase

A large number of studies have demonstrated co-purification or co-immunoprecipitation of receptors with G proteins. We have begun to look for the presence of effector molecules in these receptor complexes. Co-expression of different channel and receptor permutations in COS-7 and HEK 293 cells in combination with co-immunoprecipitation experiments established that the dopamine D(2) and D(4), and beta(2)-adrenergic receptors (beta(2)-AR) form stable complexes with Kir3 channels. The D(4)/Kir3 and D(2) receptor/Kir3 interaction does not occur when the channel and receptor are expressed separately and mixed prior to immunoprecipitation, indicating that the interaction is not an artifact of the experimental protocol and reflects a biosynthetic event. The observed complexes are stable in that they are not disrupted by receptor activation or modulation of G protein alpha subunit function. However, using a peptide that binds Gbetagamma (betaARKct), we show that Gbetagamma is critical for dopamine receptor-Kir3 complex formation, but not for maintenance of the complex. We also provide evidence that Kir3 channels and another effector, adenylyl cyclase, are stably associated with the beta(2)-adrenergic receptor and can be co-immunoprecipitated by anti-receptor antibodies. Using bioluminescence resonance energy transfer, we have shown that in living cells under physiological conditions, beta(2)AR interacts directly with Kir3.1/3.4 and Kir3.1/3.2c heterotetramers as well as with adenylyl cyclase. All of these interactions are stable in the presence of receptor agonists, suggesting that these signaling complexes persist during signal transduction. In addition, we provide evidence that the receptor-effector complexes are also found in vivo. The observation that several G protein-coupled receptors form stable complexes with their effectors suggests that this arrangement might be a general feature of G protein-coupled signal transduction.