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Yunxia Zhu

Publications and source records attributed to Yunxia Zhu.

3 recordsLinked to original sources

Controlling integration specificity of a yeast retrotransposon.

Retrotransposons and retroviruses integrate nonrandomly into eukaryotic genomes. For the yeast retrotransposon Ty5, integration preferentially occurs within domains of heterochromatin. Targeting to these locations is determined by interactions between an amino acid sequence motif at the C terminus of Ty5 integrase (IN) called the targeting domain, and the heterochromatin protein Sir4p. Here we show that new Ty5 integration hot spots are created when Sir4p is tethered to ectopic DNA sites. Targeting to sites of tethered Sir4p is abrogated by single amino acid substitutions in either IN or Sir4p that prevent their interaction. Ty5 target specificity can be altered by replacing the IN-targeting domain with other peptide motifs that interact with known protein partners. Integration occurs at high efficiency and in close proximity to DNA sites where the protein partners are tethered. These findings define a mechanism by which retrotransposons shape their host genomes and suggest ways in which retroviral integration can be controlled.

Bacterial Proteins↗

Integrating computationally assembled mouse transcript sequences with the Mouse Genome Informatics (MGI) database.

Databases of experimentally generated and computationally derived transcript sequences are valuable resources for genome analysis and annotation. The utility of such databases is enhanced when the sequences they contain are integrated with such biological information as genomic location, gene function, gene expression and phenotypic variation. We present the analysis and results of a semi-automated process of connecting transcript assemblies with highly curated biological information for mouse genes that is available through the Mouse Genome Informatics (MGI) database.

Animals↗

Connecting sequence and biology in the laboratory mouse.

The Mouse Genome Sequencing Consortium and the RIKEN Genome Exploration Research grouphave generated large sets of sequence data representing the mouse genome and transcriptome, respectively. These data provide a valuable foundation for genomic research. The challenges for the informatics community are how to integrate these data with the ever-expanding knowledge about the roles of genes and gene products in biological processes, and how to provide useful views to the scientific community. Public resources, such as the National Center for Biotechnology Information (NCBI; http://www.ncbi.nih.gov), and model organism databases, such as the Mouse Genome Informatics database (MGI; http://www.informatics.jax.org), maintain the primary data and provide connections between sequence and biology. In this paper, we describe how the partnership of MGI and NCBI LocusLink contributes to the integration of sequence and biology, especially in the context of the large-scale genome and transcriptome data now available for the laboratory mouse. In particular, we describe the methods and results of integration of 60,770 FANTOM2 mouse cDNAs with gene records in the databases of MGI and LocusLink.

Animals↗