Author

J. I. Griffiths

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 Ecology· 1

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Research Focus:cell type annotation· 4 Research Focus:differential expression· 3 Organism:human· 3 Assay:scRNA-seq· 3 Research Focus:cell-cell communication· 2 Research Focus:gene regulatory network inference· 2 Approach:machine learning (classical)· 2 Approach:statistical model· 2

Frequent Co-Authors

F. R. Adler· 3 shared J. T. Chang· 3 shared P. A. Cosgrove· 3 shared A. H. Bild· 2 shared J. Chen· 2 shared Q. J. Khan· 2 shared , I. Makhoul· 1 shared A. Bardia· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersCancer Biology

F. R. Adler

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Author profile →

4 papers

Recent·Most cited

Cancer cells communicate with macrophages to prevent T cell activation during development of cell cycle therapy resistance

J. I. Griffiths, P. A. Cosgrove, E. Medina Castaneda, A. Nath, J. Chen, F. R. Adler, J. T. Chang, Q. J. Khan, A. H. Bild

The paper shows cancer cells in resistant tumors promote immune-suppressive macrophages, reducing T-cell activation, and suggests balancing cell cycle inhibition with immune activation for better therapy.

bioRxiv · Sep 14, 2022 · PreprintCancer Biology

Convergent evolution of resistance pathways during early stage breast cancer treatment with combination cell cycle (CDK) and endocrine inhibitors

J. I. Griffiths, J. Chen, P. A. Cosgrove, A. O'Dea, P. Sharma, C. Ma, M. Trivedi, K. Kalinsky, K. B. Wisinski, R. O'Regan, , I. Makhoul, L. M. Spring, A. Bardia, F. R. Adler, A. L. Cohen, , A. Bild

This study examines how breast cancer tumors evolve during early stage treatment with combination CDK and endocrine inhibitors, finding convergent resistance pathways and increased subclonal diversity with combination therapy.

bioRxiv · Jan 19, 2021 · PreprintCancer Biology

Circulating immune cell phenotype dynamics reflect the strength of tumor-immune cell interactions in patients during immunotherapy

J. I. Griffiths, P. Wallet, L. T. Pflieger, D. Stenehjem, X. Liu, P. A. Cosgrove, N. A. Leggett, J. McQuerry, G. Shrestha, M. Rossetti, G. Sunga, P. J. Moos, F. R. Adler, J. T. Chang, S. Sharma, A. H. Bild

The paper shows that immune cell dynamics in peripheral blood reflect tumor-immune interactions during immunotherapy, with responder patients showing increased cytotoxic differentiation and interferon signaling.

Proceedings of the National Academy of Sciences · Jun 22, 2020Peer-reviewedCancer Biology

Dynamic species classification of microorganisms across time, abiotic and biotic environments - a sliding window approach

F. Pennekamp, J. I. Griffiths, E. A. Fronhofer, M. Seymour, A. Garnier, F. Altermatt, O. L. Petchey

This paper introduces a sliding window approach for classifying microorganisms under dynamic environmental conditions, showing it outperforms simplistic methods and matches manual classification accuracy.

bioRxiv · Feb 2, 2017Ecology