Cargando…

Agnostic detection of genomic alterations by holistic DNA structural interrogation

There is an established relationship between primary DNA sequence, secondary and tertiary chromatin structure, and transcriptional activity, suggesting that observed differences in one of these properties may reflect changes in the others. Here, we exploit these relationships to show that variations...

Descripción completa

Detalles Bibliográficos
Autores principales: Shultzaberger, Ryan K., Abrams, Rachel E., Sullivan, Challise J., Schmitt, Anthony D., Thompson, Thomas W. J., Dresios, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6264503/
https://www.ncbi.nlm.nih.gov/pubmed/30496256
http://dx.doi.org/10.1371/journal.pone.0208054
Descripción
Sumario:There is an established relationship between primary DNA sequence, secondary and tertiary chromatin structure, and transcriptional activity, suggesting that observed differences in one of these properties may reflect changes in the others. Here, we exploit these relationships to show that variations in DNA structure can be used to identify a wide range of genomic alterations in mammalian samples. In this proof-of-concept study we characterized and compared genome-wide histone occupancy by ChIP-Seq, DNA accessibility by ATAC-Seq, and chromosomal conformation by Hi-C for five CRISPR/Cas9-modified mammalian cell lines and their unmodified parent strains, as well as in one modified tissue sample and its parent strain. The results showed that the impact of genomic alterations on each of the levels of DNA organization varied depending on mutation type (insertion or deletion), size, and genomic location. The largest genomic alterations we identified included chromosomal rearrangements and deletions (greater than 200 Kb) in four of the modified cell lines, which can be difficult to identify by standard whole genome sequencing analysis. This multi-level DNA organizational analysis provides a sensitive approach for identifying a wide range of genomic and epigenomic perturbations that can be utilized for biomedical and biosecurity applications.