Distinguishing the immunostimulatory properties of noncoding RNAs expressed in cancer cells

Abstract

Using an approach derived from statistical physics, we quantify transcriptome-wide motif usage in human and murine noncoding RNAs (ncRNAs), determining that most have motif usage consistent with the coding genome. However, an outlier subset of tumor-associated ncRNAs comprises repetitive elements whose motif usage patterns are more typically associated with the genomes of inflammatory pathogens. We demonstrate that a key subset of these elements directly activates the cellular innate immune response. We propose that the innate response in tumors partially originates from direct interaction of immunogenic ncRNAs preferentially expressed in cancer cells with innate pattern recognition receptors.

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 02, 2015
Source ID
10.1073/pnas.1517584112

Entities

People

  • Andrei V. Gudkov
  • Anna Puzio-kuter
  • Antoine Tanne
  • Arnold J. Levine
  • Benjamin D. Greenbaum
  • David T Ting
  • Katerina I. Leonova
  • Luciana R. Muniz
  • Nina Bhardwaj
  • Rémi Monasson
  • Simona Cocco

Organizations

  • Agence Nationale de la Recherche
  • Burroughs Wellcome Fund
  • Cancer Research Institute
  • Icahn School of Medicine at Mount Sinai
  • Institute for Advanced Study
  • Massachusetts General Hospital
  • National Cancer Institute
  • National Institute of Allergy and Infectious Diseases
  • Roswell Park Comprehensive Cancer Center
  • Rutgers University–New Brunswick
  • United States Army
  • École Normale Supérieure

Tags

Fields of Study

  • Biology

Readers

  • Immunology
  • Molecular Genetics
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML