Analysis of heterogeneity in nonspecific PEGylation reactions of biomolecules.

The compositional heterogeneity associated with polymer conjugation reactions of biomolecules is analyzed for the particular case of nonspecific PEGylation reactions. It is shown that the distribution of the number of PEG moieties grafted to biomolecules such as proteins is a binomial-type function of two parameters-the reaction efficiency as well as the number of binding sites per biomolecule. The nature of this distribution implies that uniform compositions are favored for increasing number of coupling sites per biomolecule as well as for increasing efficiency of the modification process. Therefore, the binomial distribution provides a rationale for the pronounced heterogeneity that is observed for PEGylated small enzyme systems even at high coupling efficiencies. For the particular case of PEGylated trypsin it is shown that the heterogeneity results in a broad distribution of deactivation times that is captured by a stretched exponential decay model. The presented analysis is expected to apply to general modification processes of compounds in which partial functionalization of a fixed number of reactive sites is achieved by means of a nonspecific coupling reaction.

Understanding ligand distributions in modified particle and particlelike systems.

Chemical modification of nanoparticles or particlelike systems is ubiquitously being used to facilitate specific pharmaceutical functionalities or physicochemical attributes of nanocrystals, proteins, enzymes, or other particlelike systems. Often the modification process is incomplete and the functional activity of the product depends upon the distribution of functional ligands among the different particles in the system. Here, the distribution function describing the spread of ligands in particlelike systems undergoing partial modification reactions is derived and validated against a conjugated enzyme model system by use of matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF). The distribution function is shown to be applicable to describe the distribution of ligands in a wide range of particlelike systems (such as enzymes, dendrimers, or inorganic nanocrystals) and is used to establish guidelines for the synthesis of uniformly modified particle systems even at low reaction efficiencies.

Elm1p is one of three upstream kinases for the Saccharomyces cerevisiae SNF1 complex.

BACKGROUND: The yeast SNF1 protein kinase and the mammalian AMP-activated protein kinase are highly conserved heterotrimeric complexes that are "metabolic master switches" involved in the switch from fermentative/anaerobic to oxidative metabolism. They are activated by cellular stresses that deplete cellular ATP, and SNF1 is essential in the response to glucose starvation. In both cases, activation requires phosphorylation at a conserved threonine residue within the activation loop of the kinase domain, but identifying the upstream kinase(s) responsible for this has been a challenging, unsolved problem. RESULTS: Using a library of strains that express 119 yeast protein kinases as GST fusions, we identified Elm1p as the sole kinase that could activate the kinase domain of AMP-activated protein kinase in vitro. Elm1p also activated the purified SNF1 complex, and this correlated with phosphorylation of Thr210 in the activation loop. Removal of the C-terminal domain increased the Elm1p kinase activity, indicating that it is auto-inhibitory. Expression of activated, truncated Elm1p from its own promoter gave a constitutive pseudohyphal growth phenotype that was rescued by deletion of SNF1, showing that Snf1p was acting downstream of Elm1p. Deletion of ELM1 does not give an snf- phenotype. However, Elm1p is closely related to Pak1p and Tos3p, and a pak1Delta tos3Delta elm1Delta triple mutant had an snf1- phenotype, i.e., it would not grow on raffinose and did not display hyperphosphorylation of the SNF1 target, Mig1p, in response to glucose starvation. CONCLUSIONS: Elm1p, Pak1p, and Tos3p are upstream kinases for the SNF1 complex that have partially redundant functions.

Isolation of mutations in the catalytic domain of the snf1 kinase that render its activity independent of the snf4 subunit.

Activation of the Snf1 kinase requires at least two events, phosphorylation of the activation loop on threonine 210 and an Snf4-dependent process that is not completely defined. Snf4 directly interacts with a region of the regulatory domain of Snf1 that may otherwise act as an autoinhibitory domain. In order to gain insight into the regulation of Snf1 kinase by Snf4, deletions in the regulatory domain of the catalytic subunit were engineered and tested for their effect on Snf1 function in the absence of Snf4. Deletion of residues 381 to 488 from the Snf1 protein resulted in a kinase that was activated by glucose limitation even in the absence of the Snf4 protein. A larger deletion (amino acids 381 to 608) encompassing virtually the entire regulatory domain resulted in complete inactivation of the Snf1 kinase even in the presence of Snf4. A genetic screen for amino acid substitutions that conferred an Snf4-independent phenotype identified four point mutations in the Snf1 catalytic domain. One very conservative mutation, leucine 183 to isoleucine, conferred nearly wild-type levels of Snf1 kinase function in the absence of the Snf4 protein. Purified Snf1 kinase was inactive when isolated from snf4Delta cells, whereas the Snf1-L183I kinase exhibited significant activity in the absence of Snf4. Our data support the idea that Snf1 kinase activity is constrained in cis by an autoinhibitory domain and that the Snf4-mediated activation of Snf1 can be bypassed by subtle conformational changes in the catalytic domain of the Snf1 kinase.