Author

Brandon M. Peoples

Auburn UniversityORCID 0000-0002-2960-9042Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Amber Sullivan· 1 shared Anna BonfittoiD· 1 shared Bessie Meechoovet· 1 shared Christian J. KelleyiD· 1 shared David T. ReddeniD· 1 shared Devin J. DrummeriD· 1 shared Elizabeth D. HutchinsiD· 1 shared Emma J. Frese· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Amber Sullivan

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Words Matter with Age: Instructions Dictate Self-Selected Walking Speed in Young and Older Adults

Kenneth D. Harrison, Sarah A. Brinkerhoff, Emma J. Frese, Brandon M. Peoples, Keven Santamaría-Guzmán, David T. Redden, Jaimie A. Roper

This study shows that walking speed in young and older adults varies similarly due to instructions, but age differences in response to instructions affect gait speed outcomes.

bioRxiv · Jul 18, 2025 · PreprintNeuroscience

Dynamic Transcriptomic Network Responses to Divergent Acute Exercise Challenges in Young Adults

Kaleen M. Lavin, Zachary Graham, Jeremy S. McAdam, Samia M. O’Bryan, Devin J. Drummer, Margaret B. Bell, Christian J. Kelley, Manoel E. Lixandrão, Brandon Peoples, S. Craig Tuggle, Regina S. Seay, Kendall R. Van Keuren‐Jensen, Matthew J. Huentelman, Patrick Pirrotte, Rebecca A. Reiman, , Marcas M. Bamman

The paper compares transcriptomic responses in skeletal muscle and extracellular vesicles after traditional and high-intensity exercise in young adults, finding more consistent gene responses to traditional exercise and unique microRNA responses to high-intensity training.

bioRxiv · Sep 14, 2022 · PreprintBioinformatics