Literature DB >> 12045007

Systems analysis of matrix metalloproteinase mRNA expression in skeletal tissues.

Lei Qian1, Yunlong Liu, Hui Bin Sun, Hiroki Yokota.   

Abstract

The availability of human genome sequences provides life scientists and biomedical engineers with a challenging opportunity to develop computational and experimental tools for quantitatively analyzing biological processes. In response to a growing need to integrate experimental mRNA expression data with human genome sequences, we present here a unique analysis named "Promoter-Based Estimation (PROBE)" analysis. The PROBE analysis is "systems analysis" of transcriptional processes using control and estimation theories. A linear model was built in order to estimate the mRNA levels of a group of genes from their regulatory DNA sequences. The model was also used to interpret two independent datasets in skeletal tissues. The results demonstrated that the mRNA levels of a family of matrix metalloproteinases can be modeled from a distribution of cis-acting elements on regulatory DNA sequences. The model accurately predicted a stimulatory role of cis-acting elements such as AP1, NFY, PEA3, and Sp1 as well as an inhibitory role of AP2. These predictions are consistent with biological observations, and a specific assay for testing such predictions is proposed. Although eukaryotic transcription is a complex mechanism, the two examples presented here support the potential use of the described analysis for elucidating the functional significance of DNA regulatory elements.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12045007     DOI: 10.2741/qian

Source DB:  PubMed          Journal:  Front Biosci        ISSN: 1093-4715


  2 in total

1.  Principal component analysis for predicting transcription-factor binding motifs from array-derived data.

Authors:  Yunlong Liu; Matthew P Vincenti; Hiroki Yokota
Journal:  BMC Bioinformatics       Date:  2005-11-18       Impact factor: 3.169

2.  Artificial ants deposit pheromone to search for regulatory DNA elements.

Authors:  Yunlong Liu; Hiroki Yokota
Journal:  BMC Genomics       Date:  2006-08-30       Impact factor: 3.969

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.