Integrated transcriptomic and proteomic analyses for the characterization of parathyroid oxyphil cells in uremic patients

Amino Acids - Chief cells are the predominant cells in parathyroid glands of healthy adults; however, parathyroid oxyphil cells, whose function is unknown, increase dramatically in patients with...     

The impact of peptide abundance and dynamic range on stable-isotope-based quantitative proteomic analyses

Recently, mass spectrometry has been employed in many studies to provide unbiased, reproducible, and quantitative protein abundance information on a proteome-wide scale. However, how instruments' limited dynamic ranges impact the accuracy of such measurements has remained largely unexplored, especially in the context of complex mixtures. Here, we examined the distribution of peptide signal versus background noise (S/N) and its correlation with quantitative accuracy. With the use of metabolically labeled Jurkat cell lysate, over half of all confidently identified peptides had S/N ratios less than 10 when examined using both hybrid linear ion trap-Fourier transform ion cyclotron resonance and Orbitrap mass spectrometers. Quantification accuracy was also highly correlated with S/N. We developed a mass precision algorithm that significantly reduced measurement variance at low S/N beyond the use of highly accurate mass information alone and expanded it into a new software suite, Vista. We also evaluated the interplay between mass measurement accuracy and S/N; finding a balance between both parameters produced the greatest identification and quantification rates. Finally, we demonstrate that S/N can be a useful surrogate for relative abundance ratios when only a single species is detected.     

New insights into Raf regulation from structural analyses

BRAF is a highly regulated protein kinase that controls cell fate in animal cells. Recent structural analyses have revealed how active and inactive forms of BRAF bind to dimers of the scaffold protein 14-3-3. Inactive BRAF binds to 14-3-3 as a monomer and is held in an inactive conformation by interactions with ATP and the substrate kinase MEK, a striking example of enzyme inhibition by substrate binding. A change in the phosphorylation state of BRAF shifts the stoichiometry of the BRAF:14-3-3 complex from 1:2 to 2:2, resulting in stabilization of the active dimeric form of the kinase. These new findings uncover unexpected features of the regulatory mechanisms underlying Raf biology and help explain the paradoxical activation of Raf by small-molecule inhibitors.     

Insights into protein kinase regulation and inhibition by large scale structural comparison

Protein structure determination of soluble globular protein domains has developed into an efficient routine technology which can now be applied to generate and analyze structures of entire human protein families. In the kinase area, several kinase families still lack comprehensive structural analysis. Nevertheless, Structural Genomics (SG) efforts contributed more than 40 kinase catalytic domain structures during the past 4 years providing a rich resource of information for large scale comparisons of kinase active sites. Moreover, many of the released structures are inhibitor complexes that offer chemical starting points for development of selective and potent inhibitors. Here we discuss the currently available structural data and strategies that can be utilized for the development of highly selective inhibitors.     

Insights into protein structure and function from disorder-complexity space

Intrinsically disordered proteins have a wide variety of important functional roles. However, the relationship between sequence and function in these proteins is significantly different than that for well-folded proteins. In a previous work, we showed that the propensity to be disordered can be recognized based on sequence composition alone. Here that analysis is furthered by examining the relationship of disorder propensity to sequence complexity, where the metrics for these two properties depend only on composition. The distributions of 40 amino acid peptides from both ordered and disordered proteins are graphed in this disorder-complexity space. An analysis of Swiss-Prot shows that most peptides have high complexity and relatively low disorder. However, there are also an appreciable number of low complexity-high disorder peptides in the database. In contrast, there are no low complexity-low disorder peptides. A similar analysis for peptides in the PDB reveals a much narrower distribution, with few peptides of low complexity and high disorder. In this case, the bounds of the disorder-complexity distribution are well defined and might be used to evaluate the likelihood that a peptide can be crystallized with current methods. The disorder-complexity distributions of individual proteins and sets of proteins grouped by function are also examined. Among individual proteins, there is an enormous variety of distributions that in some cases can be rationalized with regard to function. Groups of functionally related proteins are found to have distributions that are similar within each group but show notable differences between groups. Finally, a pattern matching algorithm is used to search for proteins with particular disorder-complexity distributions. The results suggest that this approach might be used to identify relationships between otherwise dissimilar proteins.     

Insights into brain development and disease from neurogenetic analyses in Drosophila melanogaster

Groundbreaking work by Obaid Siddiqi has contributed to the powerful genetic toolkit that is now available for studying the nervous system of Drosophila. Studies carried out in this powerful neurogenetic model system during the last decade now provide insight into the molecular mechanisms that operate in neural stem cells during normal brain development and during abnormal brain tumorigenesis. These studies also provide strong support for the notion that conserved molecular genetic programs act in brain development and disease in insects and mammals including humans.     

Insights into DNA hydroxymethylation in the honeybee from in-depth analyses of TET dioxygenase

In mammals, a family of TET enzymes producing oxidized forms of 5-methylcytosine (5mC) plays an important role in modulating DNA demethylation dynamics. In contrast, nothing is known about the function of a single TET orthologue present in invertebrates. Here, we show that the honeybee TET (AmTET) catalytic domain has dioxygenase activity and converts 5mC to 5-hydroxymethylcytosine (5hmC) in a HEK293T cell assay. In vivo, the levels of 5hmC are condition-dependent and relatively low, but in testes and ovaries 5hmC is present at approximately 7–10% of the total level of 5mC, which is comparable to that reported for certain mammalian cells types. AmTET is alternatively spliced and highly expressed throughout development and in adult tissues with the highest expression found in adult brains. Our findings reveal an additional level of flexible genomic modifications in the honeybee that may be important for the selection of multiple pathways controlling contrasting phenotypic outcomes in this species. In a broader context, our study extends the current, mammalian-centred attention to TET-driven DNA hydroxymethylation to an easily manageable organism with attractive and unique biology.     

Insights into prion protein function from atomistic simulations

Computer simulations are a powerful tool for studies of biological systems. They have often been used to study prion protein (PrP), a protein responsible for neurodegenerative diseases, which include “mad cow disease” in cattle and Creutzfeldt-Jacob disease in humans. An important aspect of the prion protein is its interaction with copper ion, which is thought to be relevant for PrP’s yet undetermined function and also potentially play a role in prion diseases. For studies of copper attachment to the prion protein, computer simulations have often been used to complement experimental data and to obtain binding structures of Cu-PrP complexes. This paper summarizes the results of recent ab initio calculations of copper-prion protein interactions focusing on the recently discovered concentration-dependent binding modes in the octarepeat region of this protein. In addition to determining the binding structures, computer simulations were also used to make predictions about PrP’s function and the role of copper in prion diseases. The results demonstrate the predictive power and applicability of ab initio simulations for studies of metal-biomolecular complexes.