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Cis-regulatory Sequences02:02

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mRNA Interactome Capture from Plant Protoplasts
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Arabidopsis Motif Scanner.

Giovanni Mele1

  • 1Institute of Agricultural Biology and Biotechnology (IBBA), National Council of Research (CNR), Via Salaria Km. 29.300, Monterotondo Scalo (Roma), 00015, Italy. melegio@ibba.cnr.it.

BMC Bioinformatics
|January 29, 2016
PubMed
Summary
This summary is machine-generated.

Arabidopsis Motif Scanner (AMS) is a new tool for analyzing gene networks in Arabidopsis. It integrates cis-regulatory element data with Next Generation Sequencing (NGS) and gene interaction information to understand transcription factor functions.

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Area of Science:

  • Plant molecular biology
  • Genomics
  • Bioinformatics

Background:

  • Gene expression regulation is crucial for cellular differentiation and development.
  • Cis-acting elements (enhancers, silencers) control gene transcription.
  • Genomic studies generate complex data requiring advanced interpretation tools.

Purpose of the Study:

  • To develop a novel computational tool for building gene networks.
  • To facilitate the interpretation of Next Generation Sequencing (NGS) data in plant research.
  • To aid in understanding gene relationships and transcription factor functions.

Main Methods:

  • Developed Arabidopsis Motif Scanner (AMS), a Windows application.
  • Identified cis-regulatory element positions in Arabidopsis thaliana.
  • Integrated cis-regulatory element data with NGS, DNA Chip Arrays, and gene interaction data.

Main Results:

  • AMS identifies gene networks regulated by transcription factors.
  • The software predicts direct target genes using expression data and binding site motifs.
  • AMS utilizes DNA-protein and protein-protein interactions to identify regulated metabolic pathways.

Conclusions:

  • Arabidopsis Motif Scanner (AMS) is a valuable tool for unraveling gene relationships and functions.
  • AMS aids in studying transcription factor impact on the transcriptome.
  • The tool correlates cis-acting element positions, gene expression, and interactions for enhanced analysis.