Author

F. J. Monsma

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· 1 Cell Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

L. Andres-Martin· 2 shared A. Daigavane· 1 shared A. DiFeo· 1 shared A. Duren-Lubanski· 1 shared A. Geraschenko· 1 shared A. Gladych-Macioszek· 1 shared A. Klupczynska - Gabryszak· 1 shared A. Narayanaswamy· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersCancer Biology

L. Andres-Martin

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Engineering Human Pluripotent Stem Cell Lines to Evade Xenogeneic Transplantation Barriers

H. A. Pizzato, P. Alonso-Guallart, J. Woods, B. Johannesson, J. P. Connelly, T. A. Fehniger, J. Atkinson, S. M. Pruett-Miller, F. J. Monsma, D. Bhattacharya

This study genetically modifies human pluripotent stem cells to evade immune rejection in mice by knocking out HLA genes and adding inhibitory factors, leading to persistent teratomas in immunocompetent models.

bioRxiv · Jun 27, 2023Immunology

Modeling of Intracellular Taurine Levels Associated with Ovarian Cancer Reveals Activation of p53, ERK, mTOR and DNA-damage-sensing-dependent Cell Protection

D. Centeno, S. Farsinejad, E. Kochetkova, T. Volpari, A. Gladych-Macioszek, A. Klupczynska - Gabryszak, T. Polotaye, M. Greenberg, D. Kung, E. Hyde, S. Alshehri, T. Pavlovic, W. Sullivan, S. Plewa, H. Vakifahmetoglu-Norberg, , M. Iwanicki

This study shows that increasing intracellular taurine in ovarian cancer cells reduces proliferation, glycolysis, and DNA damage, while activating protective pathways like p53 and mTOR.

bioRxiv · Feb 24, 2023Cancer Biology

Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts

L. Schiff, B. Migliori, Y. Chen, D. Carter, C. Bonilla, J. Hall, M. Fan, E. Tam, S. Ahadi, B. Fischbacher, A. Geraschenko, C. J. Hunter, S. Venugopalan, S. DesMarteau, A. Narayanaswamy, , Yang

This study develops a platform combining deep learning and high-content imaging to identify disease-specific phenotypes in Parkinson's fibroblasts, achieving high accuracy in distinguishing disease subtypes.

bioRxiv · Nov 13, 2020Cell Biology