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Zemin Ning

Publications and source records attributed to Zemin Ning.

3 recordsLinked to original sources

The leukocyte receptor complex in chicken is characterized by massive expansion and diversification of immunoglobulin-like Loci.

The innate and adaptive immune systems of vertebrates possess complementary, but intertwined functions within immune responses. Receptors of the mammalian innate immune system play an essential role in the detection of infected or transformed cells and are vital for the initiation and regulation of a full adaptive immune response. The genes for several of these receptors are clustered within the leukocyte receptor complex (LRC). The purpose of this study was to carry out a detailed analysis of the chicken (Gallus gallus domesticus) LRC. Bacterial artificial chromosomes containing genes related to mammalian leukocyte immunoglobulin-like receptors were identified in a chicken genomic library and shown to map to a single microchromosome. Sequencing revealed 103 chicken immunoglobulin-like receptor (CHIR) loci (22 inhibitory, 25 activating, 15 bifunctional, and 41 pseudogenes). A very complex splicing pattern was found using transcript analyses and seven hypervariable regions were detected in the external CHIR domains. Phylogenetic and genomic analysis showed that CHIR genes evolved mainly by block duplications from an ancestral inhibitory receptor locus, with transformation into activating receptors occurring more than once. Evolutionary selection pressure has led not only to an exceptional expansion of the CHIR cluster but also to a dramatic diversification of CHIR loci and haplotypes. This indicates that CHIRs have the potential to complement the adaptive immune system in fighting pathogens.

Alternative Splicing↗

The phusion assembler.

The Phusion assembler has assembled the mouse genome from the whole-genome shotgun (WGS) dataset collected by the Mouse Genome Sequencing Consortium, at ~7.5x sequence coverage, producing a high-quality draft assembly 2.6 gigabases in size, of which 90% of these bases are in 479 scaffolds. For the mouse genome, which is a large and repeat-rich genome, the input dataset was designed to include a high proportion of paired end sequences of various size selected inserts, from 2-200 kbp lengths, into various host vector templates. Phusion uses sequence data, called reads, and information about reads that share common templates, called read pairs, to drive the assembly of this large genome to highly accurate results. The preassembly stage, which clusters the reads into sensible groups, is a key element of the entire assembler, because it permits a simple approach to parallelization of the assembly stage, as each cluster can be treated independent of the others. In addition to the application of Phusion to the mouse genome, we will also present results from the WGS assembly of Caenorhabditis briggsae sequenced to about 11x coverage. The C. briggsae assembly was accessioned through EMBL, http://www.ebi.ac.uk/services/index.html, using the series CAAC01000001-CAAC01000578, however, the Phusion mouse assembly described here was not accessioned. The mouse data was generated by the Mouse Genome Sequencing Consortium. The C. briggsae sequence was generated at The Wellcome Trust Sanger Institute and the Genome Sequencing Center, Washington University School of Medicine.

Animals↗