Biomedical subjects

Chenhong Zhang

Publications and source records attributed to Chenhong Zhang.

3 recordsLinked to original sources

PubMed2007

BoLA class I allele diversity and polymorphism in a herd of cattle.

Major histocompatibility complex class I genes are among the most polymorphic genes characterized. The high level of polymorphism is essential for generating host immune responses. In humans, three distinct genomic loci encode human leukocyte antigen (HLA) class I genes, allowing individuals to express up to six different HLA class I molecules. In cattle, the number of distinct genomic loci are currently at least six, and the number of different bovine leukocyte antigens (BoLA) class I molecules that are expressed in individual animals are variable. The extent of allele variation within the cattle population is unknown. In this study, the number and variety of BoLA class I sequences expressed by 36 individuals were determined from full-length BoLA class I cDNA clones. Twenty distinct BoLA class I alleles were identified, with only four being previously reported. The number of expressed BoLA class I alleles in individual animals ranged between one and four, with none of the animals having an identical complement of BoLA class I molecules. Variation existed in the number of BoLA class I alleles expressed as well as the composition of expressed alleles, however, several BoLA class I alleles were found in multiple individual animals. Polymorphic amino acid sites were analyzed for positive and negative selection using the ADAPTSITE program. In the antigen recognition sites (ARS), there were eight positions that were predicted to be under positive selection and three positions that were predicted to be under negative selection from 62 positions. In contrast, for non-antigen recognition sites (non-ARS), there were three positions that were predicted to be under positive selection and 20 that were predicted to be under negative selection from 278, indicating that positive selection of amino acids occurs at a greater frequency within the antigen recognition sites.

Alleles↗

PubMed2006

Optimally-connected hidden markov models for predicting MHC-binding peptides.

Hidden Markov models (HMMs) are one of various methods that have been applied to prediction of major histo-compatibility complex (MHC) binding peptide. In terms of model topology, a fully-connected HMM (fcHMM) has the greatest potential to predict binders, at the cost of intensive computation. While a profile HMM (pHMM) performs dramatically fewer computations, it potentially merges overlapping patterns into one which results in some patterns being missed. In a profile HMM a state corresponds to a position on a peptide while in an fcHMM a state has no specific biological meaning. This work proposes optimally-connected HMMs (ocHMMs), which do not merge overlapping patterns and yet, by performing topological reductions, a model's connectivity is greatly reduced from an fcHMM. The parameters of ocHMMs are initialized using a novel amino acid grouping approach called "multiple property grouping." Each group represents a state in an ocHMM. The proposed ocHMMs are compared to a pHMM implementation using HMMER, based on performance tests on two MHC alleles HLA (Human Leukocyte Antigen)-A*0201 and HLA-B*3501. The results show that the heuristic approaches can be adjusted to make an ocHMM achieve higher predictive accuracy than HMMER. Hence, such obtained ocHMMs are worthy of trial for predicting MHC-binding peptides.

Amino Acid Sequence↗

PubMed2002

A comparative ultrastructural study of pollen development in Arabidopsis thaliana ecotype Columbia and male-sterile mutant apt1-3.

Adenine phosphoribosyltransferase (APT) catalyzes the conversion of adenine and cytokinin bases to the corresponding nucleotides. An Arabidopsis thaliana mutant lacking the major APT isoform, APT1, is male sterile due to defects soon after meiosis. We have now used electron microscopy to define the effects of APT1 deficiency on pollen development to determine whether the changes might be attributed to adenine or cytokinin metabolism. Changes were observed in mutant anthers in both tapetal and pollen mother cells prior to meiosis with additional defects found at later stages, in both compartments. Principal changes include altered lipid accumulation in the tapetal cells, changes in pollen cell wall development, and a loss of synchrony in the development of the tapetum and microspores. Taken together our results suggest that APT1 deficiency causes a general metabolic decrease in energy metabolism, due to the lack of adenine recycling into adenylate nucleotides, which ultimately leads to pollen abortion. The early onset of meiosis in the mutant may be associated with altered cytokinin metabolism.

Adenine Phosphoribosyltransferase↗