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An Integrated Approach for Microprotein Identification and Sequence Analysis
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Published on: July 12, 2022

The reference human nuclear mitochondrial sequences compilation validated and implemented on the UCSC genome browser.

Domenico Simone1, Francesco Maria Calabrese, Martin Lang

  • 1Dipartimento di Biochimica e Biologia Molecolare E, Quagliariello, Università di Bari, Bari 70126, Italy.

BMC Genomics
|October 22, 2011
PubMed
Summary

This study presents RHNumtS.2, a comprehensive catalog of 585 human Nuclear mitochondrial Sequences (NumtS). This resource aids research into human variation, disease, and accurate mtDNA sequencing by identifying NumtS and potential heteroplasmic artifacts.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Human Genetics

Background:

  • Nuclear genomes contain Nuclear mitochondrial Sequences (NumtS), fragments of mitochondrial DNA with debated origins and roles.
  • NumtS are associated with chromosomal breaks, micro-deletions, and recombination events, influencing genome structure.
  • NumtS exhibit polymorphism, making them potential population markers, but also cause contamination in mtDNA sequencing.

Purpose of the Study:

  • To create the most exhaustive catalog of human NumtS (RHNumtS.2).
  • To provide a resource for studying human structural variation, diversity, and disease.
  • To aid in the detection of false heteroplasmic variants in mtDNA sequencing.

Main Methods:

  • Development of the RHNumtS.2 catalog, annotating 585 NumtS.
  • Validation of NumtS in European individuals and HapMap samples.
  • Implementation of NumtS tracks in the UCSC Genome Browser for accessibility.

Main Results:

  • The RHNumtS.2 catalog identifies 585 human NumtS, with 97% validated in population samples.
  • The complete NumtS dataset is accessible via the UCSC Genome Browser.
  • Sequences have been submitted to INSDC databases.

Conclusions:

  • The RHNumtS.2 catalog serves as a valuable resource for diverse research applications.
  • This resource supports studies on human structural variation, diversity, and disease.
  • The NumtS tracks facilitate the identification of heteroplasmic artifacts in mtDNA sequencing.