Integrated analyses of murine breast cancer models reveal critical parallels with human disease

Jonathan P. Rennhack; Briana To; Matthew Swiatnicki; Caleb Dulak; Martin P. Ogrodzinski; Yueqi Zhang; Caralynn Li; Evan Bylett; Christina Ross; Karol Szczepanek; William Hanrahan; Muthu Jayatissa; Sophia Y. Lunt; Kent Hunter; Eran R. Andrechek

doi:10.1038/s41467-019-11236-3

Nature Communications (Jul 2019)

Integrated analyses of murine breast cancer models reveal critical parallels with human disease

Jonathan P. Rennhack,
Briana To,
Matthew Swiatnicki,
Caleb Dulak,
Martin P. Ogrodzinski,
Yueqi Zhang,
Caralynn Li,
Evan Bylett,
Christina Ross,
Karol Szczepanek,
William Hanrahan,
Muthu Jayatissa,
Sophia Y. Lunt,
Kent Hunter,
Eran R. Andrechek

Affiliations

Jonathan P. Rennhack: Department of Physiology, Michigan State University
Briana To: Department of Physiology, Michigan State University
Matthew Swiatnicki: Department of Physiology, Michigan State University
Caleb Dulak: Department of Physiology, Michigan State University
Martin P. Ogrodzinski: Department of Physiology, Michigan State University
Yueqi Zhang: Department of Physiology, Michigan State University
Caralynn Li: Department of Physiology, Michigan State University
Evan Bylett: Department of Physiology, Michigan State University
Christina Ross: Department of Chemical Engineering and Materials Science, Michigan State University
Karol Szczepanek: Department of Chemical Engineering and Materials Science, Michigan State University
William Hanrahan: Department of Physiology, Michigan State University
Muthu Jayatissa: Department of Physiology, Michigan State University
Sophia Y. Lunt: Department of Biochemistry and Molecular Biology, Michigan State University
Kent Hunter: Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health
Eran R. Andrechek: Department of Physiology, Michigan State University

DOI: https://doi.org/10.1038/s41467-019-11236-3
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 12

Abstract

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Mouse models are an essential tool in breast cancer research. Here, the authors present the genomic and transcriptomic profiles of two widely used mouse models, revealing parallels with the human disease specifically with metastasis and treatment response.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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