Structural and Functional Classification of G-Quadruplex Families within the Human Genome

Author:

Neupane Aryan1,Chariker Julia H.23,Rouchka Eric C.34ORCID

Affiliation:

1. School of Graduate and Interdisciplinary Studies, University of Louisville, Louisville, KY 40292, USA

2. Department of Neuroscience Training, University of Louisville, Louisville, KY 40292, USA

3. Kentucky IDeA Network of Biomedical Research Excellence (KY INBRE) Bioinformatics Core, University of Louisville, Louisville, KY 40292, USA

4. Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY 40292, USA

Abstract

G-quadruplexes (G4s) are short secondary DNA structures located throughout genomic DNA and transcribed RNA. Although G4 structures have been shown to form in vivo, no current search tools that examine these structures based on previously identified G-quadruplexes and filter them based on similar sequence, structure, and thermodynamic properties are known to exist. We present a framework for clustering G-quadruplex sequences into families using the CD-HIT, MeShClust, and DNACLUST methods along with a combination of Starcode and BLAST. Utilizing this framework to filter and annotate clusters, 95 families of G-quadruplex sequences were identified within the human genome. Profiles for each family were created using hidden Markov models to allow for the identification of additional family members and generate homology probability scores. The thermodynamic folding energy properties, functional annotation of genes associated with the sequences, scores from different prediction algorithms, and transcription factor binding motifs within a family were used to annotate and compare the diversity within and across clusters. The resulting set of G-quadruplex families can be used to further understand how different regions of the genome are regulated by factors targeting specific structures common to members of a specific cluster.

Funder

National Institutes of Health

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

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