Frequency of MicroRNA Response Elements Identifies Pathologically Relevant Signaling Pathways in Triple-Negative Breast Cancer

Asha A. Nair, Xiaojia Tang, Kevin J. Thompson, Peter T. Vedell, Krishna R. Kalari, Subbaya Subramanian

Research output: Contribution to journalArticlepeer-review

Abstract

Biological Sciences; Bioinformatics; Cancer Systems Biology; Cancer

Original languageEnglish (US)
Article number101249
JournaliScience
Volume23
Issue number6
DOIs
StatePublished - Jun 26 2020

Bibliographical note

Funding Information:
This work is supported by the Center for Individualized Medicine, Mayo Clinic (CIM) and by the Mayo Clinic Breast Specialized Program of Research Excellence (SPORE) ( P50CA116201 ) at the Mayo Clinic in Rochester, MN, and funds from the University of Minnesota , Medical School Innovation award and the Department of Surgery , Research funds. We also thank Ce Yuan and the anonymous reviewers for their input and insightful comments that helped improve the quality of our manuscript. We thank Dr. Matthew Robertson and Ms. Sruthi Subramanian for assistance with manuscript editing.

Keywords

  • Bioinformatics
  • Biological Sciences
  • Cancer
  • Cancer Systems Biology

PubMed: MeSH publication types

  • Journal Article

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