American Association for Cancer Research
Browse
00085472can170833-sup-180820_2_supp_4265471_rw6rq9.docx (39.8 kB)

Supplementary Materials and Methods from Integrated Analysis of Whole-Genome ChIP-Seq and RNA-Seq Data of Primary Head and Neck Tumor Samples Associates HPV Integration Sites with Open Chromatin Marks

Download (39.8 kB)
journal contribution
posted on 2023-03-31, 01:10 authored by Dylan Z. Kelley, Emily L. Flam, Evgeny Izumchenko, Ludmila V. Danilova, Hildegard A. Wulf, Theresa Guo, Dzov A. Singman, Bahman Afsari, Alyza M. Skaist, Michael Considine, Jane A. Welch, Elena Stavrovskaya, Justin A. Bishop, William H. Westra, Zubair Khan, Wayne M. Koch, David Sidransky, Sarah J. Wheelan, Joseph A. Califano, Alexander V. Favorov, Elana J. Fertig, Daria A. Gaykalova

Description of Supplemental Materials and Methods

Funding

ALCF

IASLC

History

ARTICLE ABSTRACT

Chromatin alterations mediate mutations and gene expression changes in cancer. Chromatin immunoprecipitation followed by sequencing (ChIP-Seq) has been utilized to study genome-wide chromatin structure in human cancer cell lines, yet numerous technical challenges limit comparable analyses in primary tumors. Here we have developed a new whole-genome analytic pipeline to optimize ChIP-Seq protocols on patient-derived xenografts from human papillomavirus–related (HPV+) head and neck squamous cell carcinoma (HNSCC) samples. We further associated chromatin aberrations with gene expression changes from a larger cohort of the tumor and normal samples with RNA-Seq data. We detect differential histone enrichment associated with tumor-specific gene expression variation, sites of HPV integration in the human genome, and HPV-associated histone enrichment sites upstream of cancer driver genes, which play central roles in cancer-associated pathways. These comprehensive analyses enable unprecedented characterization of the complex network of molecular changes resulting from chromatin alterations that drive HPV-related tumorigenesis. Cancer Res; 77(23); 6538–50. ©2017 AACR.

Usage metrics

    Cancer Research

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC