Literature DB >> 10529375

An upstream repressor element that contributes to hepatocyte-specific expression of the rat serum amyloid A1 gene.

L Li1, W S Liao.   

Abstract

Serum amyloid A (SAA) is a major acute-phase protein whose expression can be dramatically induced in response to tissue damage, infection, and inflammation. Its expression is highly tissue-specific, restricted almost exclusively to liver hepatocytes. We have shown that a 320-bp fragment of the rat SAA1 promoter could confer liver-cell-specific expression on a reporter gene when transfected into cultured cells. Here we report the identification of a 29-bp regulatory element that possesses inhibitory activities on SAA1 promoter in HeLa cells but has no such effects in liver cells. Moreover, this regulatory element has properties of a transcriptional repressor; in that, it can function with a heterologous promoter and is independent of orientation and distance from the transcription initiation site. Protein binding studies showed that this regulatory element can form specific protein-DNA complexes with nuclear proteins from several nonliver cell lines (HeLa, 10T(1/2), and C2) and placenta. However, the same DNA-protein complex was not detected in extracts from liver or liver-derived cell lines (HepG2 and Hep3B). Taken together, our results demonstrate the presence of a DNA-binding protein, termed tissue-specific repressor, found only in nonhepatocytes which may function to repress SAA1 gene expression by interacting with a repressor element. Thus, liver-specific expression of the SAA1 gene is apparently regulated by both positive and negative regulatory elements and their interacting transcription factors to ensure that it is expressed only in suitable cell types. Copyright 1999 Academic Press.

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Year:  1999        PMID: 10529375     DOI: 10.1006/bbrc.1999.1527

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  2 in total

1.  Identifying In Vitro Cultured Human Hepatocytes Markers with Machine Learning Methods Based on Single-Cell RNA-Seq Data.

Authors:  ZhanDong Li; FeiMing Huang; Lei Chen; Tao Huang; Yu-Dong Cai
Journal:  Front Bioeng Biotechnol       Date:  2022-05-30

2.  Functional characterization of the pollen-specific SBgLR promoter from potato (Solanum tuberosum L.).

Authors:  Zhihong Lang; Peng Zhou; Jingjuan Yu; Guangming Ao; Qian Zhao
Journal:  Planta       Date:  2007-09-26       Impact factor: 4.116

  2 in total

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