Mark Dane

Oregon Health & Science University — United States

Environmental Science · Physical Sciences

13h-index862citations58works0.82yr avg
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Research Topics

Bacteriophages and microbial interactions(14), Microbial Community Ecology and Physiology(14), Single-cell and spatial transcriptomics(11), Cell Image Analysis Techniques(11), Chromosomal and Genetic Variations(10)

Publications58 total

Treatment resistance to platinum-based chemotherapy in lung and ovarian cancer is driven by a targetable TGFβ senescent secretome
Nature Aging·2026· 1 citedOpen Access
S-nitrosylated COX-2 is a microenvironment-regulated breast cancer cell biomarker of mesenchymal phenotypes
Experimental Cell Research·2026Open Access
Growth factors maintain intratumoral heterogeneity and drive therapeutic resistance in triple-negative breast cancer
Cell Reports·2025Open Access
Identification of senescence-associated drivers of tumour growth and progression using a novel microarray platform
2025Open Access
Oncostatin M orchestrates collective epithelial migration via HIF1A activation
2025Open Access
S-Nitrosylated COX-2 is a TME-regulated breast cancer biomarker of mesenchymal phenotypes
2025Open Access
TNBC response to paclitaxel phenocopies interferon response which reveals cell cycle-associated resistance mechanisms
Scientific Reports·2025· 4 citedOpen Access
TNBC response to paclitaxel phenocopies interferon response which reveals cell cycle-associated resistance mechanisms
2024· 1 citedOpen Access
Functional delineation of the luminal epithelial microenvironment in breast using cell-based screening in combinatorial microenvironments
Cellular Signalling·2023Open Access
Analysis and modeling of cancer drug responses using cell cycle phase-specific rate effects
Nature Communications·2023· 42 citedOpen Access
Abstract 5504: A tumor-promoting senescent secretome triggered by platinum chemotherapy exploits a targetable TGFβR1/Akt-mTOR axis in lung cancer
Cancer Research·2023
Supplementary Information from Integrating Mathematical Modeling with High-Throughput Imaging Explains How Polyploid Populations Behave in Nutrient-Sparse Environments
2023Open Access
Data from Integrating Mathematical Modeling with High-Throughput Imaging Explains How Polyploid Populations Behave in Nutrient-Sparse Environments
2023Open Access
Supplementary Data 3 from Integrating Mathematical Modeling with High-Throughput Imaging Explains How Polyploid Populations Behave in Nutrient-Sparse Environments
2023Open Access
Supplementary Data 6 from Integrating Mathematical Modeling with High-Throughput Imaging Explains How Polyploid Populations Behave in Nutrient-Sparse Environments
2023Open Access
Supplementary Data 2 from Integrating Mathematical Modeling with High-Throughput Imaging Explains How Polyploid Populations Behave in Nutrient-Sparse Environments
2023Open Access
Supplementary Data 2 from Integrating Mathematical Modeling with High-Throughput Imaging Explains How Polyploid Populations Behave in Nutrient-Sparse Environments
2023Open Access
Supplementary Data 5 from Integrating Mathematical Modeling with High-Throughput Imaging Explains How Polyploid Populations Behave in Nutrient-Sparse Environments
2023Open Access
Supplementary Data 3 from Integrating Mathematical Modeling with High-Throughput Imaging Explains How Polyploid Populations Behave in Nutrient-Sparse Environments
2023Open Access
Supplementary Data 6 from Integrating Mathematical Modeling with High-Throughput Imaging Explains How Polyploid Populations Behave in Nutrient-Sparse Environments
2023Open Access
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Frequent Co-authors

Laura M. Heiser(41), James E. Korkola(24), Joe W. Gray(16), Sean M. Gross(14), Gregory J. Kimmel(13), Philipp M. Altrock(13), Noemi Andor(13), Elmar Bucher(10), Tiera Liby(9), Rebecca Smith(9), Kaylyn L. Devlin(9), Heidi S. Feiler(8), Gordon B. Mills(7), David Kilburn(7), Damir Sudar(6), Zhi Hu(6), Reuben Hoffmann(6), Michel Nederlof(4), Moqing Liu(4), Crystal Sanchez-Aguila(4)