Author

Taylor A. Harmon

National Institutes of HealthORCID 0000-0003-0465-2316Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

Adrian LitaiD· 1 shared Christel Herold Mende· 1 shared D. S. Davis· 1 shared Helena MuleyiD· 1 shared Iqbal MahmudiD· 1 shared Laurel E. MekeiD· 1 shared Laurence Zhang· 1 shared Meili ZhangiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperCancer Biology

Adrian LitaORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintJun 12, 2026

SCD1 inhibition synergizes with TMZ to improve IDH1 MUT glioma survival of mice via lipotoxic stress

Laurence Zhang, Tomohiro Yamasaki, Viney Kumar…·Mioara Larion

This paper shows that inhibiting SCD1 with MF-438 enhances TMZ effectiveness in IDH1-mutant glioma mouse models by inducing lipotoxic stress and ferroptosis.

DOI 10.64898/2026.06.09.731222

mouseproteomics

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BioinformaticsJournal of Proteome ResearchPeer-reviewedNov 20, 2025

Discrepancies in Biomarker Identification in Different Peak-Picking Strategies in Untargeted Metabolomics Analyses of Cells, Tissues, and Biofluids

Iqbal Mahmud, Taylor A. Harmon, Laurel E. Meke, Timothy J. Garrett

This study compares XCMS and MZmine 2 for peak picking in untargeted metabolomics and finds significant discrepancies in biomarker identification across different sample types and parameters.

3 citations

metabolomicsstatistical model

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