High-resolution NMR of exchangeable protons in arginine,oligoarginines, and the arginine-rich histone tetramer

High-resolution nmr of exchangeable protons in the side chain of arginine reveals two distinct resonances arising from restricted rotation about the N(1)–C(ε) bond. Spectral assignments based upon pH-dependent proton-exchange behaviour identified each resonance as arising from one of the magnetically distinct guanidinium amino groups in the molecule. Computer simulation of the temperature-dependent coalescence of these peaks defines an activation energy of 14.3 kcal/mol for internal rotation about this bond. Similar results to those observed in monoarginine are reported for diarginine, triarginine, and the arginine-rich histone tetramer. Based on these findings, a nonsymmetric mode of arginine–ligand interaction is suggested, and the molecular dynamics of proton exchange in the arginine side chain is discussed.     

Characterization of the solution conformations of unbound and Tat peptide-bound forms of HIV-1 TAR RNA.

Basic peptides from the carboxy terminus of the HIV-1 Tat protein bind to the apical stem-loop region of TAR RNA with high affinity and moderate specificity. The conformations of the unbound and 24 residue Tat peptide (Tfr24)-bound forms of TAR RNA have been characterized by NMR spectroscopy. The unbound form of TAR exists in major and minor forms having different trinucleotide bulge conformations. A specific TAR RNA conformational change is observed upon complex formation with Tfr24, consisting of coaxial stacking of helical stems and base triple formation. A U23-A27-U38 base triple is proposed based on exchangeable proton NMR data, where U23 forms a base pair with A27 in the major groove. No evidence for base triple formation was found for Tat peptides in which lysine residues are extensively substituted for arginine.     

A characterization of the low temperature structural transition of Escherichia coli 5 S RNA by partial enzymatic digestion

The low temperature structural transition (low leads to high) of 5 S RNA from Escherichia coli is investigated by partial digestion with ribonuclease T1. In addition to a general masking of guanines from the nuclease, differential changes of accessibility are observed when Mg2+ and salt concentrations are increased to bring about the low leads to high transition. Residue G13 becomes more exposed in the high form while residues G54, G56, G61, G72, and G83-86 become less exposed. The observed cutting rate at other sites is unchanged. A possible conformational change is discussed which could explain the observed changes in RNase T1 digestion patterns as well as the physical chemical observations.     

Isocitrate dehydrogenase 1 R132C mutation occurs exclusively in microsatellite stable colorectal cancers with the CpG island methylator phenotype

The CpG Island Methylator Phenotype (CIMP) is fundamental to an important subset of colorectal cancer; however, its cause is unknown. CIMP is associated with microsatellite instability but is also found in BRAF mutant microsatellite stable cancers that are associated with poor prognosis. The isocitrate dehydrogenase 1 (IDH1) gene causes CIMP in glioma due to an activating mutation that produces the 2-hydroxyglutarate oncometabolite. We therefore examined IDH1 alteration as a potential cause of CIMP in colorectal cancer. The IDH1 mutational hotspot was screened in 86 CIMP-positive and 80 CIMP-negative cancers. The entire coding sequence was examined in 81 CIMP-positive colorectal cancers. Forty-seven cancers varying by CIMP-status and IDH1 mutation status were examined using Illumina 450K DNA methylation microarrays. The R132C IDH1 mutation was detected in 4/166 cancers. All IDH1 mutations were in CIMP cancers that were BRAF mutant and microsatellite stable (4/45, 8.9%). Unsupervised hierarchical cluster analysis identified an IDH1 mutation-like methylation signature in approximately half of the CIMP-positive cancers. IDH1 mutation appears to cause CIMP in a small proportion of BRAF mutant, microsatellite stable colorectal cancers. This study provides a precedent that a single gene mutation may cause CIMP in colorectal cancer, and that this will be associated with a specific epigenetic signature and clinicopathological features.     

Mathematical and computational modeling in biology at multiple scales

A variety of topics are reviewed in the area of mathematical and computational modeling in biology, covering the range of scales from populations of organisms to electrons in atoms. The use of maximum entropy as an inference tool in the fields of biology and drug discovery is discussed. Mathematical and computational methods and models in the areas of epidemiology, cell physiology and cancer are surveyed. The technique of molecular dynamics is covered, with special attention to force fields for protein simulations and methods for the calculation of solvation free energies. The utility of quantum mechanical methods in biophysical and biochemical modeling is explored. The field of computational enzymology is examined.     

Comparative tests of ectoparasite species richness in seabirds

Background  

The diversity of parasites attacking a host varies substantially among different host species. Understanding the factors that explain these patterns of parasite diversity is critical to identifying the ecological principles underlying biodiversity. Seabirds (Charadriiformes, Pelecaniformes and Procellariiformes) and their ectoparasitic lice (Insecta: Phthiraptera) are ideal model groups in which to study correlates of parasite species richness. We evaluated the relative importance of morphological (body size, body weight, wingspan, bill length), life-history (longevity, clutch size), ecological (population size, geographical range) and behavioural (diving versus non-diving) variables as predictors of louse diversity on 413 seabird hosts species. Diversity was measured at the level of louse suborder, genus, and species, and uneven sampling of hosts was controlled for using literature citations as a proxy for sampling effort.     

Effects of DNA sequence and histone-histone interactions on nucleosome placement

Using competitive reconstitution, we have refined the parameters for the binding of histone octamers to artificial nucleosome-positioning sequences of the form: (A/T3nn(G/C)3nn. We find that the optimal period between flexible segments is approximately 10.1 base-pairs, supporting the view that the DNA on the nucleosome surface is overwound. The strongest requirement for flexible DNA is near the protein dyad. However, we see no indication of changes in DNA helical repeat in this region. Using a series of repetitive sequences, we confirm that neither all A/T-rich nor all G/C-rich regions are identical in promoting nucleosome formation. Surprisingly, A/T-rich segments containing the TpA step, subject to purine-purine clash in the minor groove, favor nucleosome formation over sequences lacking this step. Short tracts of adenine residues are found to position on the histone surface like other A/T-rich regions, in the manner predicted by the direction of their sequence-directed bends as determined by electrophoretic methods. Tracts containing five adenine residues are extremely aniostropic in their flexibility and are strongly detrimental to nucleosome formation when positioned for major groove compression. Longer adenine tracts are found to position near the ends of the nucleosomal DNA. However, other positions may be occupied by an A12 tract, with only a minor penalty in the free energy of nucleosome formation. Overall, reconstituted nucleosome positions are translationally degenerate, suggesting a weak dependence on DNA flexibility for nucleosome positioning. Dinucleosomal reconstitutions on tandem dimers of the 5 S RNA gene of Lytechinus variegatus demonstrate a weak phasing dependence for the interaction between nucleosomes. This interaction is maximal for the 202 base-pair repeat and suggests a co-operative mechanism for the formation of ordered nucleosomal arrays based on a combination of DNA flexibility and nucleosome-nucleosome interactions.