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

doi:10.1016/j.isci.2020.101249

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

Surgery

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

Biological

Original language	English (US)
Article number	101249
Journal	iScience
Volume	23
Issue number	6
DOIs	https://doi.org/10.1016/j.isci.2020.101249
State	Published - 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.

Publisher Copyright:
© 2020 The Author(s)

Keywords

Bioinformatics
Biological Sciences
Cancer
Cancer Systems Biology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.isci.2020.101249

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@article{7dd302212e20420f940203142693d763,

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

abstract = "Biological",

keywords = "Bioinformatics, Biological Sciences, Cancer, Cancer Systems Biology",

author = "Nair, {Asha A.} and Xiaojia Tang and Thompson, {Kevin J.} and Vedell, {Peter T.} and Kalari, {Krishna R.} and Subbaya Subramanian",

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. Publisher Copyright: {\textcopyright} 2020 The Author(s)",

year = "2020",

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doi = "10.1016/j.isci.2020.101249",

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AU - Nair, Asha A.

AU - Tang, Xiaojia

AU - Thompson, Kevin J.

AU - Vedell, Peter T.

AU - Kalari, Krishna R.

AU - Subramanian, Subbaya

N1 - 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. Publisher Copyright: © 2020 The Author(s)

PY - 2020/6/26

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N2 - Biological

AB - Biological

KW - Bioinformatics

KW - Biological Sciences

KW - Cancer

KW - Cancer Systems Biology

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ER -

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

Abstract

Bibliographical note

Keywords

UN SDGs

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