Biomedical subjects

Jih-H Chen

Publications and source records attributed to Jih-H Chen.

2 recordsLinked to original sources

PubMed2003

Discovering well-ordered folding patterns in nucleotide sequences.

MOTIVATION: Growing evidence demonstrates that local well-ordered structures are closely correlated with cis-acting elements in the post-transcriptional regulation of gene expression. The prediction of a well-ordered folding sequence (WFS) in genomic sequences is very helpful in the determination of local RNA elements with structure-dependent functions in mRNAs. RESULTS: In this study, the quality of local WFS is assessed by the energy difference (E(diff)) between the free energies of the global minimal structure folded in the segment and its corresponding optimal restrained structure (ORS). The ORS is an optimal structure under the condition in which none of the base-pairs in the global minimal structure is allowed to form. Those WFSs in HIV-1 mRNA, various ferritin mRNAs and genomic sequences containing let-7 RNA gene were searched by a novel method, ed_scan. Our results indicate that the detected WFSs are coincident with known Rev response element in HIV-1 mRNA, iron-responsive elements in ferritin mRNAs and small let-7 RNAs in Caenorhabditis elegans, Caenorhabditis briggsae and Drosophila melanogaster genomic sequences. Statistical significance of the WFS is addressed by a quantitative measure Zscr(e) that is a z-score of E(diff) and extensive random simulations. We suggest that WFSs with high statistical significance have structural roles involving their sequence information. AVAILABILITY: The source code of ed_scan is available via anonymous ftp as ftp://ftp.ncifcrf.gov/pub/users/shuyun/scan/ed_scan.tar.

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PubMed2003

Statistical inference for well-ordered structures in nucleotide sequences.

Distinct, local structures are frequently correlated with functional RNA elements involved in post-transcriptional regulation of gene expression. Discovery of microRNAs (miRNAs) suggests that there are a large class of small non-coding RNAs in eukaryotic genomes. These miRNAs have the potential to form distinct fold-back stem-loop structures. The prediction of those well-ordered folding sequences (WFS) in genomic sequences is very helpful for our understanding of RNA-based gene regulation and the determination of local RNA elements with structure-dependent functions. In this study, we describe a novel method for discovering the local WFS in a nucleotide sequence by Monte Carlo simulation and RNA folding. In the approach the quality of a local WFS is assessed by the energy difference (E(diff)) between the optimal structure folded in the local segment and its corresponding optimal, restrained structure where all the previous base pairings formed in the optimal structure are prohibited. Distinct WFS can be discovered by scanning successive segments along a sequence for evaluating the difference between E(diff) of the natural sequence and those computed from randomly shuffled sequences. Our results indicate that the statistically significant WFS detected in the genomic sequences of Caenorhabditis elegans (C.elegans) F49E12, T07C5, T07D1, T10H9, Y56A3A and Y71G12B are coincident with known fold-back stem-loops found in miRNA precursors. The potential and implications of our method in searching for miRNAs in genomes is discussed.

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