ME-Scan

ME-Scan identifies polymorphic mobile element insertions (pMEIs) from the AluYb, L1HS, and SVA retrotransposon families in mammalian genomes, with a focus on human samples, to characterize genomic variation and impacts on gene expression, genome integrity, and disease.


Key Features:

  • Targeted identification: Detects insertions from the three major active human mobile element families AluYb, L1HS, and SVA.
  • High sensitivity and accuracy: Demonstrates reported sensitivity >90% and accuracy >95% for pMEI detection.
  • Library pooling for single-run detection: Pools libraries of the three element families to enable simultaneous identification of pMEIs in a single Illumina sequencing run.
  • Flexibility and adaptability: Protocol can be adapted for genomes beyond human to extend utility across species.
  • Comprehensive experimental and computational framework: Provides library design, sequencing protocols, and computational pipelines for downstream analyses.

Scientific Applications:

  • Genomic variation studies: Identification of pMEIs to analyze sources and consequences of genomic variation.
  • Gene expression regulation research: Examination of how mobile elements influence gene expression patterns.
  • Disease association studies: Investigation of the roles of pMEIs in disease etiology and progression.
  • Genome integrity analysis: Studies of mobile element impacts on genome stability and integrity.

Methodology:

The protocol includes computational pipelines for downstream analyses of Illumina sequencing data derived from selectively amplified insertion sites of active retrotransposons.

Topics

Details

License:
GPL-3.0
Tool Type:
command-line tool
Programming Languages:
Shell, Python
Added:
1/18/2021
Last Updated:
2/20/2021

Operations

Publications

Loh JW, Ha H, Lin T, Sun N, Burns KH, Xing J. Integrated Mobile Element Scanning (ME-Scan) method for identifying multiple types of polymorphic mobile element insertions. Mobile DNA. 2020;11(1). doi:10.1186/s13100-020-00207-x. PMID:32110248. PMCID:PMC7035633.

PMID: 32110248
PMCID: PMC7035633
Funding: - National Human Genome Research Institute: R00HG005846