The role of the conserved histidine-aspartate pair in the ‘base-off’ binding of cobalamins

Interaction between MMACHC and MMADHC, two human proteins participating in intracellular vitamin B₁₂ metabolism

The identification of eight genes involved in inherited cobalamin (Cbl) disorders has provided insight into the complexity of the vitamin B₁₂ trafficking pathway. Detailed knowledge about the structure, interaction, and physiological functions for many of the gene products, including the MMACHC and MMADHC proteins, is lacking. Having cloned, expressed, and purified MMACHC in Escherichia coli, we demonstrated its monodispersity by dynamic light scattering and measured its hydrodynamic radius, either alone or in complex with each of four vitamin B₁₂ derivatives. Using solution-phase intrinsic fluorescence and label-free, real-time surface plasmon resonance (SPR), MMACHC bound cyanocobalamin and hydroxycobalamin with similar low micromolar affinities (K(D) 6.4 and 9.8 μM, respectively); adenosylcobalamin and methylcobalamin also shared similar binding affinities for MMACHC (K(D) 1.7 and 1.4 μM, respectively). To predict specific regions of interaction between MMACHC and the proposed partner protein MMADHC, MMACHC was subjected to phage display. Five putative MMACHC-binding sites were identified. Finally, MMADHC was confirmed as a binding partner for MMACHC both in vitro (SPR) and in vivo (bacterial two-hybrid system).

Homology modeling and site-directed mutagenesis reveal catalytic key amino acids of 3beta-hydroxysteroid-dehydrogenase/C4-decarboxylase from Arabidopsis

Sterols become functional only after removal of the two methyl groups at C4 by a membrane-bound multienzyme complex including a 3beta-hydroxysteroid-dehydrogenase/C4-decarboxylase (3betaHSD/D). We recently identified Arabidopsis (Arabidopsis thaliana) 3betaHSD/D as a bifunctional short-chain dehydrogenase/reductase protein. We made use of three-dimensional homology modeling to identify key amino acids involved in 4alpha-carboxy-sterol and NAD binding and catalysis. Key amino acids were subjected to site-directed mutagenesis, and the mutated enzymes were expressed and assayed both in vivo and in vitro in an erg26 yeast strain defective in 3betaHSD/D. We show that tyrosine-159 and lysine-163, which are oriented near the 3beta-hydroxyl group of the substrate in the model, are essential for the 3betaHSD/D activity, consistent with their involvement in the initial dehydrogenation step of the reaction. The essential arginine-326 residue is predicted to form a salt bridge with the 4alpha-carboxyl group of the substrate, suggesting its involvement both in substrate binding and in the decarboxylation step. The essential aspartic acid-39 residue is in close contact with the hydroxyl groups of the adenosine-ribose ring of NAD+, in good agreement with the strong preference of 3betaHSD/D for NAD+. Data obtained with serine-133 mutants suggest close proximity between the serine-133 residue and the C4beta domain of the bound sterol. Based on these data, we propose a tentative mechanism for 3betaHSD/D activity. This study provides, to our knowledge, the first data on the three-dimensional molecular interactions of an enzyme of the postoxidosqualene cyclase sterol biosynthesis pathway with its substrate. The implications of our findings for studying the roles of C4-alkylated sterol precursors in plant development are discussed.

Survey of the year 2004 commercial optical biosensor literature

The year 2004 represents a milestone for the biosensor research community: in this year, over 1000 articles were published describing experiments performed using commercially available systems. The 1038 papers we found represent an approximately 10% increase over the past year and demonstrate that the implementation of biosensors continues to expand at a healthy pace. We evaluated the data presented in each paper and compiled a 'top 10' list. These 10 articles, which we recommend every biosensor user reads, describe well-performed kinetic, equilibrium and qualitative/screening studies, provide comparisons between binding parameters obtained from different biosensor users, as well as from biosensor- and solution-based interaction analyses, and summarize the cutting-edge applications of the technology. We also re-iterate some of the experimental pitfalls that lead to sub-optimal data and over-interpreted results. We are hopeful that the biosensor community, by applying the hints we outline, will obtain data on a par with that presented in the 10 spotlighted articles. This will ensure that the scientific community at large can be confident in the data we report from optical biosensors.