Author

Niki Tavakoli

University of Southern California

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Systems Biology· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Stacey D. FinleyiD· 2 shared Abigail Coleman· 1 shared Elizabeth EltoniD· 1 shared Emma J. FongiD· 1 shared Handan ÇetiniD· 1 shared Heinz‐Josef LenziD· 1 shared Mathias Bigger· 1 shared Michael E. DocheiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersSystems Biology

Stacey D. FinleyORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintSep 30, 2025

Cancer-associated fibroblasts drive metabolic heterogeneity in KRAS-mutant colorectal cancer cells

Elizabeth Elton, Niki Tavakoli, Handan Çetin, Stacey D. Finley

This study uses computational methods to show that CAF-conditioned media increases metabolic heterogeneity in KRAS-mutant CRC cells following enzyme knockdowns.

DOI 10.1101/2025.09.30.679631

humanbulk RNA-seq

𝕏 PostBluesky

Systems Biologynpj Systems Biology and ApplicationsPeer-reviewedJan 28, 2025

Merging metabolic modeling and imaging for screening therapeutic targets in colorectal cancer

Niki Tavakoli, Emma J. Fong, Abigail Coleman…·Shannon M. Mumenthaler

The paper integrates computational metabolic modeling with experimental validation to identify hexokinase as a therapeutic target in colorectal cancer by analyzing CAF-conditioned tumor organoids.

11 citationstop 4%

humanproteomics

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