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Related Experiment Video

Updated: Jan 22, 2026

RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level
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A Systematic Bioinformatics Approach to Motif-Based Analysis of Human Locus Control Regions.

B Sharan Sharma1,2, Prabodha K Swain1, Ramtej J Verma2

  • 1Life Sciences Research Division, Indrashil Institute of Science and Technology (IIST), Indrashil University (IU), Mehsana, India.

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|July 16, 2019
PubMed
Summary

Locus control regions (LCRs) possess unique sequence signatures. Identifying these motifs, particularly those binding zinc finger proteins, enhances understanding of gene expression and aids in designing advanced gene therapy vectors.

Keywords:
RSATTomtomcis-regulatory elementoligostranscription factor (TF)

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Locus control regions (LCRs) are critical cis-acting regulatory elements controlling gene expression.
  • Their conserved nature and precise gene-specific activity make LCRs promising for gene therapy vectors.
  • Understanding LCRs' unique signatures is key to optimizing their use in genetic applications.

Purpose of the Study:

  • To identify unique sequence signatures within human LCRs using a bioinformatics approach.
  • To analyze the presence and identity of regulatory motifs within LCR sequences.
  • To explore the potential of these motifs in gene therapy vector design.

Main Methods:

  • Systematic bioinformatics analysis of human LCR sequences.
  • Utilized web-based Regulatory Sequence Analysis Tools (RSAT) for motif discovery.
  • Employed the Tomtom tool for motif identity comparison against known transcription factor binding sites.

Main Results:

  • RSAT analysis successfully identified significant motifs within LCR sequences.
  • Motif identity analysis revealed similarities to known transcription factor (TF) binding sites.
  • Top motifs corresponded to binding sites for zinc finger proteins, crucial for cellular activities.

Conclusions:

  • Motif-based analysis effectively reveals biological relevance and TF binding models within LCRs.
  • The identified unique signatures of LCRs are crucial for designing novel regulatory elements.
  • This research supports the development of next-generation gene therapy vectors incorporating LCRs.