Author

J. M. Phillip

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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Cancer Biology· 3 Bioengineering· 2 Pathology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 5 Research Focus:cell type annotation· 4 Organism:human· 4 Approach:deep learning· 3 Approach:experimental assay· 3 Research Focus:clustering· 2 Research Focus:differential expression· 2 Research Focus:cancer & tumor microenvironment· 1

Frequent Co-Authors

D. Wirtz· 4 shared J. Walston· 3 shared N. Zamponi· 3 shared P.-H. Wu· 3 shared B. Starich· 2 shared H. Jayatilaka· 2 shared L. Cerchietti· 2 shared A. Agrawal· 1 shared

Activity by Year

2020-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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4 shared papersCancer Biology

D. Wirtz

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

qMAP Enabled Microanatomical Mapping of Human Skin Aging

K. S. Han, I. B. Sander, J. Kumer, E. P. Resnick, C. Booth, Y. Im, G. Cheng, B. Starich, A. L. Kiemen, J. M. Phillip, S. Reddy, C. Joshu, J. Sunshine, J. Walston, D. Wirtz, P.-H. Wu

This study introduces qMAP, a deep learning-based workflow for microanatomical mapping of human skin, identifying 10 core processes strongly associated with aging and achieving age prediction accuracy comparable to epigenetic clocks.

bioRxiv · Apr 3, 2024 · PreprintPathology

Profiling Dynamic Patterns of Single-cell Motility

D. Maity, N. Sivakumar, P. Kamat, N. Zamponi, C. Min, W. Du, H. Jayatilaka, A. Giri, A. Johnston, B. Starich, M. Karl, A. Agrawal, D. Riley, L. Venturitti, A. Melnick, , J. M. Phillip

This study introduces CaMI, a framework to classify single-cell motility patterns, revealing heterogeneity and dynamics not captured by traditional ensemble methods.

bioRxiv · Sep 21, 2022Bioengineering

Senescent stroma induces nuclear deformations in cancer cells via the inhibition of RhoA/ROCK/myosin II-based cytoskeletal tension

I. Aifuwa, J. M. Phillip, B. Kim, T. Luperchio, A. Jimenez, T. Perestrelo, S.-H. Lee, N. Longe, K. Reddy, T. Ha, D. Wirtz

This study shows senescent stroma reduces cancer cell nuclear tension via RhoA/ROCK/myosin II inhibition, leading to morphological changes linked to malignancy.

bioRxiv · Nov 17, 2021Cancer Biology

Deep Learning Identification of Stiffness Markers in Breast Cancer

A. Sneider, J. H. Kim, A. Kiemen, P.-H. Wu, M. Habibi, M. White, J. M. Phillip, L. Gu, D. Wirtz

This study uses deep learning to identify stiffness markers in breast cancer tissue, finding that straight collagen percentage best correlates with tissue stiffness.

bioRxiv · Dec 17, 2020Cancer Biology

HSP90 facilitates oncogenic alterations of metabolism in B-cell lymphomas

M. N. Calvo-Vidal, N. Zamponi, J. Krumsiek, M. A. Stockslager, M. V. Revuelta, J. M. Phillip, R. Marullo, N. Kotlov, J. Patel, S. N. Yang, L. Yang, T. Taldone, C. Thieblemont, J. P. Leonard, P. Martin, , L. Cerchietti

This study shows HSP90 supports metabolic compartmentalization in B-cell lymphomas, and its inhibition reduces cancer metabolism.

bioRxiv · May 29, 2020 · PreprintCancer Biology

Fractional re-distribution among cell motility states during ageing

J. M. Phillip, N. Zamponi, M. P. Phillip, J. Daya, S. McGovern, W. Williams, K. Tschudi, H. Jayatilaka, P.-H. Wu, J. Walston, D. Wirtz

The paper shows that ageing reduces cell motility heterogeneity by redistributing cells among motility states rather than uniformly decreasing motility.

bioRxiv · Apr 29, 2020Bioengineering