Abstract

Despite its demonstrated biological significance, time of day is a broadly overlooked biological variable in preclinical and clinical studies. How time of day affects the influence of peripheral tumors on central (brain) function remains unspecified. Thus, we tested the hypothesis that peripheral mammary cancer tumors alter the transcriptome of immune responses in the brain and that these responses vary based on time of day; we predicted that time of day sampling bias would alter the interpretation of the results. Brain tissues collected at mid dark and mid light from mammary tumor-bearing and vehicle injected mice were analyzed using the Nanostring nCounter immune panel. Peripheral mammary tumors significantly affected expression within the brain of over 100 unique genes of the 770 represented in the panel, and fewer than 25% of these genes were affected similarly across the day. Indeed, between 65 and 75% of GO biological processes represented by the differentially expressed genes were dependent upon time of day of sampling. The implications of time-of-day sampling bias in interpretation of research studies cannot be understated. We encourage considering time of day as a significant biological variable in studies and to appropriately control for it and clearly report time of day in findings.

Details

Title
Time of day bias for biological sampling in studies of mammary cancer
Author
Walton, James C. 1 ; Walker, William H. 1 ; Nelson, Randy J. 1 ; DeVries, A. Courtney 2 

 West Virginia University, Department of Neuroscience, Rockefeller Neuroscience Institute, Morgantown, USA (GRID:grid.268154.c) (ISNI:0000 0001 2156 6140) 
 West Virginia University, Department of Neuroscience, Rockefeller Neuroscience Institute, Morgantown, USA (GRID:grid.268154.c) (ISNI:0000 0001 2156 6140); West Virginia University, Department of Medicine, Division of Oncology/Hematology, Morgantown, USA (GRID:grid.268154.c) (ISNI:0000 0001 2156 6140); West Virginia University, West Virginia University Cancer Institute, Morgantown, USA (GRID:grid.268154.c) (ISNI:0000 0001 2156 6140) 
Pages
848
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2911680045
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.