Identification and validation of colorectal neoplasia-specific methylation markers for accurate classification of disease

Aberrant DNA methylation occurs early in oncogenesis, is stable, and can be assayed in tissues and body fluids. Therefore, genes with aberrant methylation can provide clues for understanding tumor pathways and are attractive candidates for detection of early neoplastic events. Identification of sequences that optimally discriminate cancer from other diseased and healthy tissues is needed to advance both approaches. Using well-characterized specimens, genome-wide methylation techniques were used to identify candidate markers specific for colorectal neoplasia. To further validate 30 of these candidates from genome-wide analysis and 13 literature-derived genes, including genes involved in cancer and others with unknown functions, a high-throughput methylation-specific oligonucleotide microarray was used. The arrays were probed with bisulfite-converted DNA from 89 colorectal adenocarcinomas, 55 colorectal polyps, 31 inflammatory bowel disease, 115 extracolonic cancers, and 67 healthy tissues. The 20 most discriminating markers were highly methylated in colorectal neoplasia (area under the receiver operating characteristic curve > 0.8; P < 0.0001). Normal epithelium and extracolonic cancers revealed significantly lower methylation. Real-time PCR assays developed for 11 markers were tested on an independent set of 149 samples from colorectal adenocarcinomas, other diseases, and healthy tissues. Microarray results could be reproduced for 10 of 11 marker assays, including eight of the most discriminating markers (area under the receiver operating characteristic curve > 0.72; P < 0.009). The markers with high specificity for colorectal cancer have potential as blood-based screening markers whereas markers that are specific for multiple cancers could potentially be used as prognostic indicators, as biomarkers for therapeutic response monitoring or other diagnostic applications, compelling further investigation into their use in clinical testing and overall roles in tumorigenesis.     

Specificity and mechanism of JMJD2A, a trimethyllysine-specific histone demethylase

JMJD2A is a JmjC histone demethylase (HDM) that catalyzes the demethylation of di- and trimethylated Lys9 and Lys36 in histone H3 (H3K9me2/3 and H3K36me2/3). Here we present the crystal structures of the JMJD2A catalytic domain in complex with H3K9me3, H3K36me2 and H3K36me3 peptides. The structures reveal that histone substrates are recognized through a network of backbone hydrogen bonds and hydrophobic interactions that deposit the trimethyllysine into the active site. The trimethylated epsilon-ammonium cation is coordinated within a methylammonium-binding pocket through carbon-oxygen (CH...O) hydrogen bonds that position one of the zeta-methyl groups adjacent to the Fe(II) center for hydroxylation and demethylation. Mutations of the residues comprising this pocket abrogate demethylation by JMJD2A, with the exception of an S288A substitution, which augments activity, particularly toward H3K9me2. We propose that this residue modulates the methylation-state specificities of JMJD2 enzymes and other trimethyllysine-specific JmjC HDMs.     

Community development by forest understory plants after prolonged burial by tephra

Several processes bury plants, but sediment can also be subsequently removed, often by delayed erosion. Thus, the ability to survive multiple years of burial and to respond when released are important to vegetation changes and population dynamics. We experimentally evaluated the effects of delayed removal of tephra (aerially transported volcanic ejecta) in an old-growth forest understory near Mount St. Helens, using 1-m² plots assigned to three treatments: tephra removed 4 months after deposition (50 plots), tephra removed 28 months after deposition (the delayed erosion treatment, 50 plots), and undisturbed, natural tephra (100 plots). Prior to tephra removal, species density, cover, shoot density, and shoot size in the delayed erosion treatment were all similar to values in natural plots and significantly less than values in plots cleared initially, indicating that 24 months of additional burial adversely affected understory plants. However, all attributes eventually approached pre-eruption values for shrubs and herbs, indicating that erosion greatly facilitated vegetation recovery. Responses varied substantially among species and growth forms. Overall, our experimental results indicate that some plants of most species can respond effectively after release from burial of at least three growing seasons. In addition, the delay of erosion retards ecosystem recovery relative to early erosion, facilitates recovery relative to no erosion, and modifies the trajectory of post-disturbance vegetation change.

     

The use of environmental DNA metabarcoding and quantitative PCR for molecular detection of marine invasive non-native species associated with artificial structures

Biological Invasions - Artificial coastal structures associated with coastal defences, energy generation, ports, marinas and other developments, are known to support lower levels of biodiversity...     

DDD: Distributed Dataset DNS

Cluster Computing - The advent of inexpensive data storage has resulted in larger and larger datasets as the cost of pruning data becomes more expensive then storing it for future insights. This...     

Polybrominated Diphenyl Ethers (PBDEs) in Marine Fish and Dietary Exposure in Newfoundland

EcoHealth - Presence of PBDEs tested in 127 liver samples from Atlantic Cod (Gadus morhua) and Turbot (Scophthalmus Maximus) and 80 adult participants from two rural Newfoundland communities....     

ProSight Annotator: Complete control and customization of protein entries in UniProt XML files

The effectiveness of any proteomics database search depends on the theoretical candidate information contained in the protein database. Unfortunately, candidate entries from protein databases such as UniProt rarely contain all the post-translational modifications (PTMs), disulfide bonds, or endogenous cleavages of interest to researchers. These omissions can limit discovery of novel and biologically important proteoforms. Conversely, searching for a specific proteoform becomes a computationally difficult task for heavily modified proteins. Both situations require updates to the database through user-annotated entries. Unfortunately, manually creating properly formatted UniProt Extensible Markup Language (XML) files is tedious and prone to errors. ProSight Annotator solves these issues by providing a graphical interface for adding user-defined features to UniProt-formatted XML files for better informed proteoform searches. It can be downloaded from http://prosightannotator.northwestern.edu .