Author

Nolan J. Hoffman

Australian Catholic UniversityORCID 0000-0001-5168-7082Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Physiology· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

Dale F. TayloriD· 2 shared David John BishopiD· 2 shared Elizabeth G. ReismaniD· 2 shared John Alan HawleyiD· 2 shared Nikeisha J. CaruanaiD· 2 shared ANDREW P. GARNHAMiD· 1 shared Cheng Huang· 1 shared David Ernest JamesiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersPhysiology

Dale F. TaylorORCID

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3 papers

Recent·Most cited

PhysiologybioRxivPreprintFeb 9, 2026

Subcellular proteomic profiling of human skeletal muscle reveals exercise-induced coordinated and compartment-specific protein remodeling

Elizabeth G. Reisman, Dale F. Taylor, Dingyi Yu…·Nolan J. Hoffman

This study profiles subcellular proteomes in human skeletal muscle during acute exercise and endurance training, revealing compartment-specific protein remodeling and sex-conserved responses.

1 citation

humanproteomics

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PhysiologybioRxivPreprintAug 17, 2025

✦ In-depth digest

Exercise induces time-dependent but not sex-specific transcriptomic changes in healthy human skeletal muscle

Dale F. Taylor, Elizabeth G. Reisman, ANDREW P. GARNHAM…·David John Bishop

Nine vastus lateralis biopsies from before exercise to 48 h after one high-intensity interval session reveal 16,625 exercise-responsive genes; only four respond differently between males and females.

3 citations

humanbulk RNA-seq

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Systems BiologyCell ReportsPeer-reviewedJan 1, 2020

PhosR enables processing and functional analysis of phosphoproteomic data

Hani Jieun Kim, Tai-Yun Kim, Nolan J. Hoffman…·Pengyi Yang

PhosR provides tools for processing and analyzing phosphoproteomic data, enabling data imputation, normalization, and functional analysis of kinase activity and signaling pathways.

120 citationstop 4%

proteomicsstatistical model

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