Literature DB >> 17629622

Aberrant transcriptional regulatory network in T cells of multiple sclerosis.

Jun-ichi Satoh1, Zsolt Illes, Agnes Peterfalvi, Hiroko Tabunoki, Csilla Rozsa, Takashi Yamamura.   

Abstract

To identify the molecular network of the genes deregulated in multiple sclerosis (MS), we studied gene expression profile of purified CD3(+) T cells isolated from Hungarian monozygotic MS twins by DNA microarray analysis. By comparing three concordant and one discordant pairs, we identified 20 differentially expressed genes (DEG) between the MS patient and the genetically identical healthy subject. Molecular network of 20 DEG analyzed by KeyMolnet, a comprehensive information platform, indicated the close relationship with transcriptional regulation by the Ets transcription factor family and the nuclear factor NF-kappaB. This novel bioinformatic approach proposes the logical hypothesis that aberrant regulation of the complex transcriptional regulatory network contributes to development of pathogenic T cells in MS.

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Year:  2007        PMID: 17629622     DOI: 10.1016/j.neulet.2007.05.056

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  4 in total

1.  Role of HDAC3 on p53 expression and apoptosis in T cells of patients with multiple sclerosis.

Authors:  Fanglin Zhang; Yaping Shi; Lily Wang; Subramaniam Sriram
Journal:  PLoS One       Date:  2011-02-08       Impact factor: 3.240

2.  A 17-molecule set as a predictor of complete response to neoadjuvant chemotherapy with docetaxel, cisplatin, and 5-fluorouracil in esophageal cancer.

Authors:  Hajime Fujishima; Shoichi Fumoto; Tomotaka Shibata; Kohei Nishiki; Yoshiyuki Tsukamoto; Tsuyoshi Etoh; Masatsugu Moriyama; Norio Shiraishi; Masafumi Inomata
Journal:  PLoS One       Date:  2017-11-14       Impact factor: 3.240

3.  Suppressed RNA-polymerase 1 pathway is associated with benign multiple sclerosis.

Authors:  Anat Achiron; Anna Feldman; David Magalashvili; Mark Dolev; Michael Gurevich
Journal:  PLoS One       Date:  2012-10-12       Impact factor: 3.240

4.  Alzheimer's disease master regulators analysis: search for potential molecular targets and drug repositioning candidates.

Authors:  D M Vargas; M A De Bastiani; E R Zimmer; F Klamt
Journal:  Alzheimers Res Ther       Date:  2018-06-23       Impact factor: 6.982

  4 in total

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