MicroRNAs of Gallid and Meleagrid herpesviruses show generally conserved genomic locations and are virus-specific.

Many herpesviruses, including Marek's disease viruses (MDV1 and MDV2), encode microRNAs. In this study, we report microRNAs of two related herpesviruses, infectious laryngotracheitis virus (ILTV) and herpesvirus of turkeys (HVT), as well as additional MDV2 microRNAs. The genome locations, but not microRNA sequences, are conserved among all four of these avian herpesviruses.

Sequence conservation and differential expression of Marek's disease virus microRNAs.

Marek's disease virus (MDV), a herpesvirus that causes a lymphoproliferative disorder in chickens, encodes a number of microRNAs derived primarily from two locations in the MDV genome. One cluster of microRNA genes flanks the meq oncogene, and a second cluster is found within the latency-associated transcript (LAT) region. The sequences of MDV microRNAs from a collection of field and reference strains with various levels of virulence were compared and found to be highly conserved.

Analysis of protein domains and Rett syndrome mutations indicate that multiple regions influence chromatin-binding dynamics of the chromatin-associated protein MECP2 in vivo.

The methyl-CpG-binding protein 2 (MECP2) serves both organizational and transcriptional functions in the nucleus, with two well-characterized domains integrally related to these functions. The recognition of methylated CpG dinucleotides is accomplished by the methyl-binding domain (MBD), and the transcriptional repression domain (TRD) facilitates protein-protein interactions with chromatin remodeling proteins. For each known function of MECP2, chromatin binding is a crucial activity.

Using name-internal and contextual features to classify biological terms.

There has been considerable work done recently in recognizing named entities in biomedical text. In this paper, we investigate the named entity classification task, an integral part of the named entity extraction task. We focus on the different sources of information that can be utilized for classification, and note the extent to which they are effective in classification.