π-π stacking tackled with density functional theory

Through comparison with ab initio reference data, we have evaluated the performance of various density functionals for describing pi-pi interactions as a function of the geometry between two stacked benzenes or benzene analogs, between two stacked DNA bases, and between two stacked Watson-Crick pairs. Our main purpose is to find a robust and computationally efficient density functional to be used specifically and only for describing pi-pi stacking interactions in DNA and other biological molecules in the framework of our recently developed QM/QM approach "QUILD". In line with previous studies, most standard density functionals recover, at best, only part of the favorable stacking interactions. An exception is the new KT1 functional, which correctly yields bound pi-stacked structures. Surprisingly, a similarly good performance is achieved with the computationally very robust and efficient local density approximation (LDA). Furthermore, we show that classical electrostatic interactions determine the shape and depth of the pi-pi stacking potential energy surface.     

Primates follow the 'island rule': implications for interpreting Homo floresiensis

When the diminutive skeleton of Homo floresiensis was found on the Indonesian island of Flores, it was interpreted as an island dwarf, conforming to the 'island rule' that large animals evolve smaller size on islands, but small animals tend to get larger. However, previous studies of the island rule have not included primates, so the extent to which insular primate populations undergo size change was unknown. We use a comparative database of 39 independently derived island endemic primate species and subspecies to demonstrate that primates do conform to the island rule: small-bodied primates tend to get larger on islands, and large-bodied primates get smaller. Furthermore, larger species undergo a proportionally greater reduction in size on islands.     

Visualization of Mycobacterium avium in Crohn's tissue by oil-immersion microscopy

Studies seeking Mycobacterium avium subsp. paratuberculosis in Crohn's disease by PCR have generated inconsistent findings. As an alternative, microscopy offers a number of advantages, including direct visualization of organisms in tissue. Experimental infections have demonstrated that M. avium organisms can be seen by both acid-fast staining and species-specific in situ hybridization, but because they are smaller than M. tuberculosis, oil-immersion microscopy (x 1,000 magnification) is needed. We performed a blinded search for M. avium in paraffin-embedded surgical resections from Crohn's and control subjects at two centres. Specimens were coded and subjected to acid-fast staining and ribosomal RNA in situ hybridization for M. avium rRNA. Agreement between these two methods was good (42/52 patients, kappa=0.60) and similar results were observed for patients from two centers. Together, both methods provided positive results in 10 of 17 Crohn's subjects (59%, 95% CI: 36-78), contrasting with only 5 of 35 control subjects (Odds ratio for Crohn's vs. controls=8.6, p=0.002). M. avium organisms had an intracellular localization within inflammatory lesions, but were often observed as lone organisms outside of granulomas. Using two assays in two settings, presence of M. avium organisms was strongly associated with Crohn's disease.     

Detection of terminal mismatches on DNA duplexes in homogeneous assays or with immobilized probes

We recently reported the design of new fluorescent oligo-2'-deoxyribonucleotides (FODNs) for the detection of terminal mismatches on DNA duplexes in homogeneous assays. We now report the validation of this method in homogeneous assays with other sequences and the feasibility of the detection of terminal mismatches with immobilized FODNs. In all cases studied, the mismatched duplexes were more fluorescent than the perfect ones and results confirmed that the discrimination factor is sequence-dependent.     

Stress-induced morphogenic responses: growing out of trouble?

Plants exposed to sub-lethal abiotic stress conditions exhibit a broad range of morphogenic responses. Despite the diversity of phenotypes, a generic 'stress-induced morphogenic response' can be recognized that appears to be carefully orchestrated and comprises three components: (a) inhibition of cell elongation, (b) localized stimulation of cell division and (c) alterations in cell differentiation status. It is hypothesized that the similarities in the morphogenic responses induced by distinct stresses, reflect common molecular processes such as increased ROS-production and altered phytohormone transport and/or metabolism. The stress-induced morphogenic response (SIMR) is postulated to be part of a general acclimation strategy, whereby plant growth is redirected to diminish stress exposure.     

Co-occurrence analysis of insertional mutagenesis data reveals cooperating oncogenes

MOTIVATION: Cancers are caused by an accumulation of multiple independent mutations that collectively deregulate cellular pathways, e.g. such as those regulating cell division and cell-death. The publicly available Retroviral Tagged Cancer Gene Database (RTCGD) contains the data of many insertional mutagenesis screens, in which the virally induced mutations result in tumor formation in mice. The insertion loci therefore indicate the location of putative cancer genes. Additionally, the presence of multiple independent insertions within one tumor hints towards a cooperation between the insertionally mutated genes. In this study we focus on the detection of statistically significant co-mutations. RESULTS: We propose a two-dimensional Gaussian Kernel Convolution method (2DGKC), a computational technique that identifies the cooperating mutations in insertional mutagenesis data. We define the Common Co-occurrence of Insertions (CCI), signifying the co-mutations that are statistically significant across all different screens in the RTCGD. Significance estimates are made on multiple scales, and the results visualized in a scale space, thereby providing valuable extra information on the putative cooperation. The multidimensional analysis of the insertion data results in the discovery of 86 statistically significant co-mutations, indicating the presence of cooperating oncogenes that play a role in tumor development. Since oncogenes may cooperate with several members of a parallel pathway, we combined the co-occurrence data with gene family information to find significant cooperations between oncogenes and families of genes. We show, for instance, the interchangeable cooperation of Myc insertions with insertions in the Pim family. AVAILABILITY: A list of the resulting CCIs is available at: http://ict.ewi.tudelft.nl/~jeroen/CCI/CCI_list.txt.     

Impact of carbon metabolism on 13C signatures of cyanobacteria and green non-sulfur-like bacteria inhabiting a microbial mat from an alkaline siliceous hot spring in Yellowstone National Park (USA)

Alkaline siliceous hot spring microbial mats in Yellowstone National Park are composed of two dominant phototropic groups, cyanobacteria and green non-sulfur-like bacteria (GNSLB). While cyanobacteria are thought to cross-feed low-molecular-weight organic compounds to support photoheterotrophic metabolism in GNSLB, it is unclear how this could lead to the heavier stable carbon isotopic signatures in GNSLB lipids compared with cyanobacterial lipids found in previous studies. The two groups of phototrophs were separated using percoll density gradient centrifugation and subsequent lipid and stable carbon isotopic analysis revealed that we obtained fractions with a approximately 60-fold enrichment in cyanobacterial and an approximately twofold enrichment in GNSLB biomass, respectively, compared with the mat itself. This technique was used to study the diel cycling and 13C content of the glucose pools in and the uptake of 13C-bicarbonate by the cyanobacteria and GNSLB, as well as the transfer of incorporated 13C from cyanobacteria to GNSLB. The results show that cyanobacteria have the highest bicarbonate uptake rates and accumulate glucose during the afternoon in full light conditions. In contrast, GNSLB have relatively higher bicarbonate uptake rates compared with cyanobacteria in the morning at low light levels. During the night GNSLB take up carbon that is likely derived through fermentation of cyanobacterial glucose enriched in 13C. The assimilation of 13C-enriched cyanobacterial carbon may thus lead to enriched 13C-contents of GNSLB cell components.