Harvey R. Knull

Glycolytic enzyme interactions with tubulin and microtubules

Interactions of the glycolytic enzymes glucose-6-phosphate isomerase, aldolase, glyceraldehyde-3-phosphate dehydrogenase, triose-phosphate isomerase, enolase, phosphoglycerate mutase, phosphoglycerate kinase, pyruvate kinase, lactate dehydrogenase type-M, and lactate dehydrogenase type-H with tubulin and microtubules were studied. Lactate dehydrogenase type-M, pyruvate kinase, glyceraldehyde-3-phosphate dehydrogenase, and aldolase demonstrated the greatest amount of co-pelleting with microtubules. The presence of 7% poly(ethylene glycol) increased co-pelleting of the latter four enzymes and two other enzymes, glucose-6-phosphate isomerase, and phosphoglycerate kinase with microtubules. Interactions also were characterized by fluorescence anisotropy. Since the KD values of glyceraldehyde-3-phosphate dehydrogenase, pyruvate kinase and lactate dehydrogenase for tubulin and microtubules were all found to be between 1 and 4 microM, which is in the range of enzyme concentration in cells, these enzymes are probably bound to microtubules in vivo. These observations indicate that interactions of cytosolic proteins, such as the glycolytic enzymes, with cytoskeletal components, such as microtubules, may play a structural role in the formation of the microtrabecular lattice.

Association of Glycolytic Enzymes with the Cytoskeleton

The diverse physical associations of the glycolytic enzymes with structural components of the cell suggest that the glycolytic enzymes are not entirely soluble in the cell. The relatively low affinities of the associations are likely responsible for the apparently transient interactions. The binding phenomenon is suggested to regulate metabolism through changes in enzymatic activity and facilitates localized enrichment of the enzymes.

Heteromerous interactions among glycolytic enzymes and of glycolytic enzymes with F-actin: effects of poly(ethylene glycol)

Interactions of glucose-6-phosphate isomerase (D-glucose-6-phosphate ketol-isomerase, EC 5.3.1.9), aldolase (D-fructose-1,6-bisphosphate D-glyceraldehyde-3-phosphate lyase, EC 4.1.2.13), glyceraldehyde-3-phosphate dehydrogenase (D-glyceraldehyde-3-phosphate:NAD+ oxidoreductase (phosphorylating), EC 1.2.1.12), triose-phosphate isomerase (D-glyceraldehyde-3-phosphate ketol-isomerase, EC 5.3.1.1), phosphoglycerate mutase (D-phosphoglycerate 2,3-phosphomutase, EC 5.4.2.1), phosphoglycerate kinase (ATP:3-phospho-D-glycerate 1-phosphotransferase, EC 2.7.3), enolase (2-phospho-D-glycerate hydro-lyase, EC 4.2.1.11), pyruvate kinase (ATP:Pyruvate O2-phosphotransferase, EC 2.7.1.40) and lactate dehydrogenase [S)-lactate:NAD+ oxidoreductase, EC 1.1.1.27) with F-actin, among the glycolytic enzymes listed above, and with phosphofructokinase (ATP:D-fructose-6-phosphate 1-phosphotransferase, EC 2.7.1.11) were studied in the presence of poly(ethylene glycol). Both purified rabbit muscle enzymes and rabbit muscle myogen, a high-speed supernatant fraction containing the glycolytic enzymes, were used to study enzyme-F-actin interactions. Following ultracentrifugation, F-actin and poly(ethylene glycol) tended to increase and KCl to decrease the pelleting of enzymes. In general, the greater part of the pelleting occurred in the presence of both F-actin and poly(ethylene glycol) and the absence of KCl. Enzymes that pelleted more in myogen preparations than as individual purified enzymes in the presence of poly(ethylene glycol) and the absence of F-actin were tested for specific enzyme-enzyme associations, several of which were observed. Such interactions support the view that the internal cell structure is composed of proteins that interact with one another to form the microtrabecular lattice.

Brownian Dynamics Simulations of Interactions between Aldolase and G- or F-Actin

Compartmentation of proteins in cells is important to proper cell function. Interactions of F-actin and glycolytic enzymes is one mechanism by which glycolytic enzymes can compartment. Brownian dynamics (BD) simulations of the binding of the muscle form of the glycolytic enzyme fructose-1,6-bisphosphate aldolase (aldolase) to F- or G-actin provide first-encounter snapshots of these interactions. Using x-ray structures of aldolase, G-actin, and three-dimensional models of F-actin, the electrostatic potential about each protein was predicted by solving the linearized Poisson-Boltzmann equation for use in BD simulations. The BD simulations provided solution complexes of aldolase with F- or G-actin. All complexes demonstrate the close contacts between oppositely charged regions of the protein surfaces. Positively charged surface regions of aldolase (residues Lys 13, 27, 288, 293, and 341 and Arg 257) are attracted to the negatively charged amino terminus (Asp 1 and Glu 2 and 4) and other patches (Asp 24, 25, and 363 and Glu 361, 364, 99, and 100) of actin subunits. According to BD results, the most important factor for aldolase binding to actin is the quaternary structure of aldolase and actin. Two pairs of adjacent aldolase subunits greatly add to the positive electrostatic potential of each other creating a region of attraction for the negatively charged subdomain 1 of the actin subunit that is exposed to solvent in the quaternary F-actin structure.

Demonstration of tubulin-glycolytic enzyme interactions using a novel electrophoretic approach

A gel electrophoretic technique was used to demonstrate an interaction with the soluble enzymes aldolase, glyceraldehydephosphate dehydrogenase, pyruvate kinase and muscle type lactate dehydrogenase to the cytoskeletal protein tubulin. It is suggested that tubulin, like actin, is a key cytoskeletal structure with which soluble proteins may associate.

Interactions of glyceraldehyde-3-phosphate dehydrogenase with G- and F-actin predicted by Brownian dynamics.

Brownian dynamics (BD) was used to simulate the binding of glyceraldehyde‐3‐phosphate dehydrogenase (GAPDH) to G‐ and F‐actin. High‐resolution three‐dimensional models (X‐ray and homology built) of the proteins were used in the simulations. The electrostatic potential about each protein was predicted by solving the linearized Poisson–Boltzmann equation for use in BD simulations. The BD simulations resulted in complexes of GAPDH with G‐ or F‐actin involving positively charged surface patches on GAPDH (Lyses 24, 69, 110 and 114) and negatively charged residues of the N‐ and C‐termini (Asps 1, 25 and 363 and Glus 2, 4, 224 and 364) of actin. The actin residues all belong to subdomain 1. Although the positively charged surface patches of GAPDH are not close enough to each other to enhance their electrostatic potential, occasionally two subunits of the GAPDH tetramer may simultaneously interact with two neighboring monomers of F‐actin. These results are different from those of fructose‐1,6‐bisphosphate aldolase, where quaternary structure directly influenced binding by two subunits combining their electrostatic potentials (see previous study, Ouporov et al., 1999 , Biophys. J. 76: 17–27). Instead, GAPDH uses its quaternary structure to span the distance between two different actin subunits so that it can interact with two different actin subunits simultaneously. Copyright

Brownian Dynamics Simulations of Aldolase Binding Glyceraldehyde 3- Phosphate Dehydrogenase and the Possibility of Substrate Channeling

Brownian dynamics (BD) simulations test for channeling of the substrate, glyceraldehyde 3-phosphate (GAP), as it passes between the enzymes fructose-1,6-bisphosphate aldolase (aldolase) and glyceraldehyde 3-phosphate dehydrogenase (GAPDH). First, BD simulations determined the favorable complexes between aldolase and GAPDH; two adjacent subunits of GAPDH form salt bridges with two subunits of aldolase. These intermolecular contacts provide a strong electrostatic interaction between the enzymes. Second, BD simulates GAP moving out of the active site of the A or D aldolase subunit and entering any of the four active sites of GAPDH. The efficiency of transfer is determined as the relative number of BD trajectories that reached any active site of GAPDH. The distribution functions of the transfer time were calculated based on the duration of successful trajectories. BD simulations of the GAP binding from solution to aldolase/GAPDH complex were compared to the channeling simulations. The efficiency of transfer of GAP within an aldolase/GAPDH complex was 2 to 3% compared to 1.3% when GAP was binding to GAPDH from solution. There is a preference for GAP channeling between aldolase and GAPDH when compared to binding from solution. However, this preference is not large enough to be considered as a theoretical proof of channeling between these proteins.

Computer simulations of glycolytic enzyme interactions with F-actin.

Abstract Muscle actin and fructose-1, 6-bisphosphate aldolase (aldolase) were chemically crosslinked to produce an 80 kDa product representing one subunit of aldolase linked to one subunit of actin. Hydroxylamine digestion of the crosslinked product resulted in two 40.5 kDa fragments, one that was aldolase linked to the 12 N-terminal residues of actin. Brownian dynamics simulations of muscle aldolase and GAPDH with F-actin (muscle, yeast, and various mutants) estimated the association free energy. Mutations of residues 1–4 of muscle actin to Ala individually or two in combination of the first four residues reduced the estimated binding free energy. Simulations showed that muscle aldolase binds with the same affinity to the yeast actin as to the double mutated muscle actin; these mutations make the N-terminal of muscle actin identical to yeast, supporting the conclusion that the actin N-terminus participates in binding. Because the depth of free energy wells for yeast and the double mutants is less than for native rabbit actin, the simulations support experimental findings that muscle aldolase and GAPDH have a higher affinity for muscle actin than for yeast actin. Furthermore, Brownian dynamics revealed that the lower affinity of yeast actin for aldolase and GAPDH compared to muscle actin, was directly related to the acidic residues at the N-terminus of actin.

Glycolytic enzyme levels in synaptosomes

The specific activities of glucosephosphate isomerase, aldolase, triosephosphate isomerase, glyceraldehydephosphate dehydrogenase, phosphoglycerate kinase, phosphoglycerate mutase, pyruvate kinase and lactate dehydrogenase were all higher in the synaptoplasmic fraction from rat brain than in 100,000 g supernatant fraction of rat brain homogenates when the supernatants were prepared in high ionic strength solutions. Four enzymes in synaptosomes and two enzymes in homogenates were associated with particulate fractions as indicated by the large increase in specific activity of the enzymes when samples were treated with 0.3 M KCl before centrifugation. Glucosephosphate isomerase, aldolase, pyruvate kinase and lactate dehydrogenase were the enzymes that showed a large increase in specific activity following salt treatment of isolated, synaptosomal membrane while aldolase and pyruvate kinase were the two enzymes which showed a large increase in specific activity in the high speed supernatant fractions. Because the specific activities of many enzymes are found to be elevated not only in synaptosomes but in synaptosomal membrane fractions it is suggested that these enzymes may provide the potential for significantly enhanced glycolysis at these locations.

Extraction of Glycolytic Enzymes: myo‐Inositol as a Marker of Membrane Porosity

Abstract: Detergent extraction of brain slices and mouse fibroblast 3T3 cells was performed to determine rates and relative amounts of extraction of inositol versus the glycolytic enzymes. The two detergents, Triton X‐100 and Brij 58, led to similar results for extraction of myo‐inositol. The extraction of enzymes from brain slices or cells varied with the detergent. In brain slices, a buffered solution containing 0.2% of the detergent Brij 58 led to the extraction of 85% of the inositol before 3% of the aldolase or before 37% of either lactate dehydrogenase or triose phosphate isomerase was extracted. In contrast, with 0.1% Triton X‐100 in isotonic phosphate‐buffered saline, when 70% of the inositol was extracted, 33% of the aldolase and 48% of the triose phosphate isomerase were extracted. Lesser amounts of aldolase and glyceraldehyde phosphate dehydrogenase were extracted than most of the other glycolytic enzymes under all conditions, implying that these enzymes may be interacting with nonextractable subcellular components. In 3T3 cells, both detergents were of similar effectiveness for inositol extraction. Triton X‐100 caused 89% of the inositol to be released and Brij 58 caused 84% to be released. With the enzymes, Brij 58 caused between 15 and 38% extraction and Triton X‐100 caused between 61 and 85% extraction of the different glycolytic enzymes. Thus Brij 58 was as effective as Triton X‐100 in inositol extraction but not nearly as effective in glycolytic enzyme extraction. The results demonstrate that inositol leakage from tissues or cells is a better indicator of detergent‐mediated alterations in membrane porosity than glycolytic enzyme leakage. In addition, it may be suggested that Brij 58 caused plasma membrane perforations prior to destruction of the cytomatrix, whereas Triton X‐100 appeared to affect both the membrane integrity and the cytomatrix as indicated by dramatic losses of both inositol and glycolytic enzymes. This distinction between detergents should be considered and used to advantage in the design of histochemical, immunocytochemical, or further biochemical studies.