Literature DB >> 16546448

REFINEMENT: a search framework for the identification of interferon-responsive elements in DNA sequences--a case study with ISRE and GAS.

Takuma Tsukahara1, Sun Kim, Milton W Taylor.   

Abstract

Interferons (IFN) are a family of pleiotropic secreted proteins that play a key role in mediating antiviral and apoptotic responses, and in immune modulation. Interferons induce a large number of genes through activating the janus tyrosine kinase (JAK)-signal transducers and activators of transcription proteins (STAT) pathway, and the binding of transcription factors to upstream regions of the inducible genes (interferon-stimulated gene, ISG) at specific DNA regulatory elements known as interferon-stimulated response element (ISRE) and gamma-activated sequence (GAS). We have previously performed DNA micro-arrays on peripheral blood mononuclear cells (PBMC) treated with interferon-alpha in culture and showed that approximately 700 genes are significantly modulated (P < or = 0.001). In order to search for ISRE and GAS we have developed a framework called regulatory element finding with iteration and effective model refinement (REFINEMENT) using an existing program (HMMER) and a standard discriminating scoring technique. Although REFINEMENT uses existing programs, our framework itself is novel as it effectively discriminates occurrences using an iterative model refinement technique. REFINEMENT has detected either ISRE or GAS sequence in all of the genes shown to be induced at a P-value < or = 0.001. There were far more functional occurrences in ISRE than in GAS, suggesting that ISRE plays a greater role in response to interferon-alpha than GAS sequences. This method can be used to identify such sequences in any set of genes. REFINEMENT is non-commercial and is accessible at .

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Year:  2006        PMID: 16546448     DOI: 10.1016/j.compbiolchem.2006.01.002

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  7 in total

1.  Regulation of interferon pathway in 2-methoxyestradiol-treated osteosarcoma cells.

Authors:  Fritz Wimbauer; Caihong Yang; Kristen L Shogren; Minzhi Zhang; Ribu Goyal; Scott M Riester; Michael J Yaszemski; Avudaiappan Maran
Journal:  BMC Cancer       Date:  2012-03-19       Impact factor: 4.430

2.  Effect of type-I interferon on retroviruses.

Authors:  Esperanza Gómez-Lucía; Victorio M Collado; Guadalupe Miró; Ana Doménech
Journal:  Viruses       Date:  2009-10-27       Impact factor: 5.048

3.  HELZ2 Is an IFN Effector Mediating Suppression of Dengue Virus.

Authors:  Dahlene N Fusco; Henry Pratt; Stephen Kandilas; Scarlett Se Yun Cheon; Wenyu Lin; D Alex Cronkite; Megha Basavappa; Kate L Jeffrey; Anthony Anselmo; Ruslan Sadreyev; Clarence Yapp; Xu Shi; John F O'Sullivan; Robert E Gerszten; Takuya Tomaru; Satoshi Yoshino; Tetsurou Satoh; Raymond T Chung
Journal:  Front Microbiol       Date:  2017-02-20       Impact factor: 5.640

4.  Tissue and time specific expression pattern of interferon regulated genes in the chicken.

Authors:  Susanne Röll; Stefan Härtle; Thomas Lütteke; Bernd Kaspers; Sonja Härtle
Journal:  BMC Genomics       Date:  2017-03-28       Impact factor: 3.969

5.  Systematic identification of chicken type I, II and III interferon-stimulated genes.

Authors:  Manman Dai; Tingting Xie; Ming Liao; Xiquan Zhang; Min Feng
Journal:  Vet Res       Date:  2020-05-24       Impact factor: 3.683

6.  INTERFEROME: the database of interferon regulated genes.

Authors:  Shamith A Samarajiwa; Sam Forster; Katie Auchettl; Paul J Hertzog
Journal:  Nucleic Acids Res       Date:  2008-11-07       Impact factor: 16.971

7.  Genome-Wide Classification of Type I, Type II and Type III Interferon-Stimulated Genes in Chicken Fibroblasts.

Authors:  Diwakar Santhakumar; Mohammed A Rohaim; Muhammad Munir
Journal:  Vaccines (Basel)       Date:  2019-10-25
  7 in total

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