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Biomedical subjects

Jesse Li-Ling

Publications and source records attributed to Jesse Li-Ling.

3 recordsLinked to original sources

Comparative analysis of amino acid usage and protein length distribution between alternatively and non-alternatively spliced genes across six eukaryotic genomes.

Alternative splicing has been discovered in nearly all metazoan organisms as a mechanism to increase the diversity of gene products. However, the origin and evolution of alternatively spliced genes are still poorly understood. To understand the mechanisms for the evolution of alternatively spliced genes, it may be important to study the differences between alternatively and non-alternatively spliced genes. The aim of this research was to compare amino acid usage and protein length distribution between alternatively and non-alternatively spliced genes across six nearly complete eukaryotic genomes, including those of human (Homo sapiens), mouse (Mus musculus), rat (Rattus norvegicus), fruit fly (Drosophila melanogaster), Caenorhabditis elegans, and bovine (Bos taurus). Our results have suggested the following: (1) across the six species, alternatively and non-alternatively spliced genes have very similar tendency for amino acids usage for not only the overall scale but also those highly expressed genes, with all of the highly expressed genes having preferred amino acids including A, E, G, K, L, P, S, V, R, T, and D. (2) For not only the overall genes but also those highly expressed ones, the average length of the protein products of alternatively spliced genes is significantly greater than that of non-alternatively spliced ones. In contrast, distributions of protein lengths for the two groups of genes are very similar among all six species. Based on these results, we propose that alternatively spliced genes may have originated from non-alternatively spliced ones through events such as DNA mutations or gene fusion.

Alternative Splicing↗

Mining gene expression data using a novel approach based on hidden Markov models.

In this work we have developed a new framework for microarray gene expression data analysis. This framework is based on hidden Markov models. We have benchmarked the performance of this probability model-based clustering algorithm on several gene expression datasets for which external evaluation criteria were available. The results showed that this approach could produce clusters of quality comparable to two prevalent clustering algorithms, but with the major advantage of determining the number of clusters. We have also applied this algorithm to analyze published data of yeast cell cycle gene expression and found it able to successfully dig out biologically meaningful gene groups. In addition, this algorithm can also find correlation between different functional groups and distinguish between function genes and regulation genes, which is helpful to construct a network describing particular biological associations. Currently, this method is limited to time series data. Supplementary materials are available at http://www.bioinfo.tsinghua.edu.cn/~rich/hmmgep_supp/.

Algorithms↗

The Jing-Mai connections of the heart.

BACKGROUND: The Jing-Mai (variously translated as the Channel, Vessel or Meridians), as described by traditional Chinese medicine, probably exists and has represented the connections between various parts of human body during embryonic development. According to the Chinese theories, there are 14 major Jing-Mai within the human body, of which four are directly connected with the Heart. METHODS: The described paths of the four Jing-Mai were compared with features of congenital syndromes involving particular types of congenital heart defects. RESULTS: Specific correlation seem to exist between such four Jing-Mai and known developmental mechanisms underlying various congenital heart defects: the Kidney Jing-Mai-ectomesenchymal tissue migration abnormalities; the Spleen Jing-Mai-situs and looping defects; the Heart Jing-Mai-abnormal cell death; the Small Intestine Jing-Mai (and the Heart Jing-Mai)-extracellular matrix anomalies. CONCLUSIONS: The Chinese theories seem to provide some intriguing insights into the pathogeneses of congenital heart defects. The Jing-Mai seems to distinguish from, but nevertheless have a close relationship with the blood vessels. Utilization of the Jing-Mai will probably enable a better understanding and development of new treatments for cardiovascular diseases.

Heart Defects, Congenital↗