Pancreatic islets of variable size--insulin secretion and glucose utilization

Glucose metabolism and insulin secretion were studied in isolated rat pancreatic islets of different sizes and the amount of tissue was quantitated by the measurement of DNA. It was found that larger islets (140-210 ng DNA/islet) utilized more glucose (based on the conversion of 3H-5-glucose to [3H]20) per ng of DNA than islets containing less DNA (60-120 ng/islet). However, the insulin secreted per ng of DNA in response to a given glucose concentration was the same in islets of all sizes. Also, the islet insulin and glucagon content when expressed in terms of DNA did not depend upon islet size. Thus, although glucose utilization rates expressed as a function of islet DNA content were greater in larger islets, no such relationship was found for glucose-induced insulin release or insulin and glucagon content.     

Isotopic hydrogen exchange in reactions catalysed by cysteine lyase and serine sulphhydrase.

Serine sulphhydrase from chicken liver and cysteine lyase from chicken-embryo yolk sac catalyse the exchange of alpha-H atoms of the amino acid substrate with 3-H-2O. The degree of labelling of the unreacted substrate approaches a maximum of one atom per mol of amino acid. In the absence of replacing agent there is practically no H-exchange in the substrate. The alpha-H of the accumulating beta-substitution product is completely replaced by the labelled hydrogen of the solvent water, irrespective of the duration of incubation. The amount of labelled alpha-hydrogen incorporated into excess (unreacted) amino acids substrate within 3.5-h incubation is somewhat less than the amount incorporated into the product of the complete enzymic beta-replacement reaction. Within the sensitivity limits of detection, the enzymes do not induce any isotopic exchange either of b-H atoms in the amino substrate or of 18-O-labelled beta-HO groups, in the case of L-serine. Neither serine sulphhydrase nor cysteine lyase will catalyse alpha-hydrogen exchange in close structural analogues of their substrates, e.g. L-alanine, D-serine, threonin, 3-phosphoserine. A special case is the interaction of cysteine lyase with the competitive inhibitor, L-serine (whose inhibitor constant, K-i, is equal to the Michaelis constant, K-m, of L-cysteine): the lyase catalyses, only in presence of a cosubstrate thiol, alpha-H exchange in L-serine at approximately the same rate as in L-cysteine. The present data concerning isotopic alpha-H exchange in substrate amino acids, and evidence published earlier, suggest that the catalytic mechanism of replacement-specific beta-lyases may significantly differ from that of the eliminating or ambivalent (mixed-function) lyases. Formation of alpha, beta-unsaturated pyridoxylidene aldimines as real reaction intermediates is unlikely in the case of lyases specifically catalysing beta-replacement reactions; these may proceed by some alternative mechanism of the type suggested in this paper.     

Perturbation Biology: Inferring Signaling Networks in Cellular Systems

We present a powerful experimental-computational technology for inferring network models that predict the response of cells to perturbations, and that may be useful in the design of combinatorial therapy against cancer. The experiments are systematic series of perturbations of cancer cell lines by targeted drugs, singly or in combination. The response to perturbation is quantified in terms of relative changes in the measured levels of proteins, phospho-proteins and cellular phenotypes such as viability. Computational network models are derived de novo, i.e., without prior knowledge of signaling pathways, and are based on simple non-linear differential equations. The prohibitively large solution space of all possible network models is explored efficiently using a probabilistic algorithm, Belief Propagation (BP), which is three orders of magnitude faster than standard Monte Carlo methods. Explicit executable models are derived for a set of perturbation experiments in SKMEL-133 melanoma cell lines, which are resistant to the therapeutically important inhibitor of RAF kinase. The resulting network models reproduce and extend known pathway biology. They empower potential discoveries of new molecular interactions and predict efficacious novel drug perturbations, such as the inhibition of PLK1, which is verified experimentally. This technology is suitable for application to larger systems in diverse areas of molecular biology.     

Functional Modulation of the Glutamate Transporter Variant GLT1b by the PDZ Domain Protein PICK1

The dominant glutamate transporter isoform in the mammalian brain, GLT1, exists as at least three splice variants, GLT1a, GLT1b, and GLT1c. GLT1b interacts with the scaffold protein PICK1 (protein interacting with kinase C1), which is implicated in glutamatergic neurotransmission via its regulatory effect on trafficking of AMPA-type glutamate receptors. The 11 extreme C-terminal residues specific for the GLT1b variant are essential for its specific interaction with the PICK1 PDZ domain, but a functional consequence of this interaction has remained unresolved. To identify a functional effect of PICK1 on GLT1a or GLT1b separately, we employed the Xenopus laevis expression system. GLT1a and GLT1b displayed similar electrophysiological properties and EC₅₀ for glutamate. Co-expressed PICK1 localized efficiently to the plasma membrane and resulted in a 5-fold enhancement of the leak current in GLT1b-expressing oocytes with only a minor effect on [³H]glutamate uptake. Three different GLT1 substrates all caused a slow TBOA-sensitive decay in the membrane current upon prolonged application, which provides support for the leak current being mediated by GLT1b itself. Leak and glutamate-evoked currents in GLT1a-expressing oocytes were unaffected by PICK1 co-expression. PKC activation down-regulated GLT1a and GLT1b activity to a similar extent, which was not affected by co-expression of PICK1. In conclusion, PICK1 may not only affect glutamatergic neurotransmission by its regulatory effect on glutamate receptors but may also affect neuronal excitability via an increased GLT1b-mediated leak current. This may be particularly relevant in pathological conditions such as amyotrophic lateral sclerosis and cerebral hypoxia, which are associated with neuronal GLT1b up-regulation.     

Suppressor Analysis Reveals a Role for SecY in the SecA2-Dependent Protein Export Pathway of Mycobacteria

All bacteria use the conserved Sec pathway to transport proteins across the cytoplasmic membrane, with the SecA ATPase playing a central role in the process. Mycobacteria are part of a small group of bacteria that have two SecA proteins: the canonical SecA (SecA1) and a second, specialized SecA (SecA2). The SecA2-dependent pathway exports a small subset of proteins and is required for Mycobacterium tuberculosis virulence. The mechanism by which SecA2 drives export of proteins across the cytoplasmic membrane remains poorly understood. Here we performed suppressor analysis on a dominant negative secA2 mutant (secA2 K129R) of the model mycobacterium Mycobacterium smegmatis to better understand the pathway used by SecA2 to export proteins. Two extragenic suppressor mutations were identified as mapping to the promoter region of secY, which encodes the central component of the canonical Sec export channel. These suppressor mutations increased secY expression, and this effect was sufficient to alleviate the secA2 K129R phenotype. We also discovered that the level of SecY protein was greatly diminished in the secA2 K129R mutant, but at least partially restored in the suppressors. Furthermore, the level of SecY in a suppressor strongly correlated with the degree of suppression. Our findings reveal a detrimental effect of SecA2 K129R on SecY, arguing for an integrated system in which SecA2 works with SecY and the canonical Sec translocase to export proteins.     

Gut expression and regulation of FAT/CD36: possible role in fatty acid transport in rat enterocytes

Fatty acid translocase (FAT)/CD36 is one of several putative plasma membrane long-chain fatty acid (LCFA) transport proteins; however, its role in intestinal absorption of LCFA is unknown. We hypothesized that FAT/CD36 would be differentially expressed along the longitudinal axis of the gut and during intestinal development, suggesting specificity of function. We found that intestinal mucosal FAT/CD36 mRNA levels varied by anatomic location along the longitudinal gut axis: stomach 45 +/- 7, duodenum 173 +/- 29, jejunum 238 +/- 17, ileum 117 +/- 14, and colon 9 +/- 1% (means +/- SE with 18S mRNA as control). FAT/CD36 protein levels were also higher in proximal compared with distal intestinal mucosa. Mucosal FAT/CD36 mRNA was also regulated during intestinal maturation, with a fourfold increase from neonatal to adult animals. In addition, FAT/CD36 mRNA levels and enterocyte LCFA uptake were rapidly downregulated by intraduodenal oleate infusion. These findings suggest that FAT/CD36 plays a role in the uptake of LCFA by small intestinal enterocytes. This may have important implications in understanding fatty acid absorption in human physiological and pathophysiological conditions.