Model-based analysis of matrix metalloproteinase expression under mechanical shear

Hui Bin Sun; Yunlong Liu; Lei Qian; Hiroki Yokota

doi:10.1114/1.1540635

Model-based analysis of matrix metalloproteinase expression under mechanical shear

Hui Bin Sun, Yunlong Liu, Lei Qian, Hiroki Yokota

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

The development of a model-based analysis for identification of the role of transcription factor (TF) binding motifs was reported. A nonlinear mathematical model was formulated to establish the quantitative relationship between the temporal expression profiles and the distribution of known TF binding motifs on regulatory DNA regions. Using the shear stress responses of a family of matrix metalloproteinases in human synovial cells as a model system, it was shown that the nonlinear formulation was able to approximate the experimentally observed expression profile better than the linear formulation.

Original language	English (US)
Pages (from-to)	171-180
Number of pages	10
Journal	Annals of Biomedical Engineering
Volume	31
Issue number	2
DOIs	https://doi.org/10.1114/1.1540635
State	Published - 2003
Externally published	Yes

Keywords

MMP
Mathematical model
Nonlinear
Regulatory DNA elements
Stress response
Transcription factor

ASJC Scopus subject areas

Biomedical Engineering

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10.1114/1.1540635

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title = "Model-based analysis of matrix metalloproteinase expression under mechanical shear",

abstract = "The development of a model-based analysis for identification of the role of transcription factor (TF) binding motifs was reported. A nonlinear mathematical model was formulated to establish the quantitative relationship between the temporal expression profiles and the distribution of known TF binding motifs on regulatory DNA regions. Using the shear stress responses of a family of matrix metalloproteinases in human synovial cells as a model system, it was shown that the nonlinear formulation was able to approximate the experimentally observed expression profile better than the linear formulation.",

keywords = "MMP, Mathematical model, Nonlinear, Regulatory DNA elements, Stress response, Transcription factor",

author = "Sun, {Hui Bin} and Yunlong Liu and Lei Qian and Hiroki Yokota",

note = "Funding Information: The authors thank Ying Bai and Sonsy Zachariah for the data collection, and Nicholus Laribee for critical reading of the manuscript. This study was supported by NIH Grant RR17012 and the Twenty-first Century Research and Technology Funds for one of the authors (H.Y.).",

year = "2003",

doi = "10.1114/1.1540635",

language = "English (US)",

volume = "31",

pages = "171--180",

journal = "Annals of Biomedical Engineering",

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TY - JOUR

T1 - Model-based analysis of matrix metalloproteinase expression under mechanical shear

AU - Sun, Hui Bin

AU - Liu, Yunlong

AU - Qian, Lei

AU - Yokota, Hiroki

N1 - Funding Information: The authors thank Ying Bai and Sonsy Zachariah for the data collection, and Nicholus Laribee for critical reading of the manuscript. This study was supported by NIH Grant RR17012 and the Twenty-first Century Research and Technology Funds for one of the authors (H.Y.).

PY - 2003

Y1 - 2003

N2 - The development of a model-based analysis for identification of the role of transcription factor (TF) binding motifs was reported. A nonlinear mathematical model was formulated to establish the quantitative relationship between the temporal expression profiles and the distribution of known TF binding motifs on regulatory DNA regions. Using the shear stress responses of a family of matrix metalloproteinases in human synovial cells as a model system, it was shown that the nonlinear formulation was able to approximate the experimentally observed expression profile better than the linear formulation.

AB - The development of a model-based analysis for identification of the role of transcription factor (TF) binding motifs was reported. A nonlinear mathematical model was formulated to establish the quantitative relationship between the temporal expression profiles and the distribution of known TF binding motifs on regulatory DNA regions. Using the shear stress responses of a family of matrix metalloproteinases in human synovial cells as a model system, it was shown that the nonlinear formulation was able to approximate the experimentally observed expression profile better than the linear formulation.

KW - MMP

KW - Mathematical model

KW - Nonlinear

KW - Regulatory DNA elements

KW - Stress response

KW - Transcription factor

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EP - 180

JO - Annals of Biomedical Engineering

JF - Annals of Biomedical Engineering

IS - 2

ER -

Model-based analysis of matrix metalloproteinase expression under mechanical shear

Abstract

Keywords

ASJC Scopus subject areas

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