| Xist nucleates local protein gradients to propagate silencing across the X chromosome Y Markaki, JG Chong, Y Wang, EC Jacobson, C Luong, SYX Tan, ... Cell 184 (25), 6174-6192. e32, 2021 | 80 | 2021 |
| Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data P Sahoo, X Yang, D Abler, D Maestrini, V Adhikarla, D Frankhouser, ... Journal of the Royal Society Interface 17 (162), 20190734, 2020 | 64 | 2020 |
| Long-range ordering of topological excitations in a two-dimensional superfluid far from equilibrium H Salman, D Maestrini Physical Review A 94 (4), 043642, 2016 | 28 | 2016 |
| State-transition analysis of time-sequential gene expression identifies critical points that predict development of acute myeloid leukemia RC Rockne, S Branciamore, J Qi, DE Frankhouser, D O'Meally, WK Hua, ... Cancer research 80 (15), 3157-3169, 2020 | 26 | 2020 |
| How naive T-cell clone counts are shaped by heterogeneous thymic output and homeostatic proliferation R Dessalles, Y Pan, M Xia, D Maestrini, MR D’Orsogna, T Chou Frontiers in immunology 12, 735135, 2022 | 13 | 2022 |
| Xist-seeded nucleation sites form local concentration gradients of silencing proteins to inactivate the X-chromosome Y Markaki, JG Chong, C Luong, SYX Tan, Y Wang, EC Jacobson, ... BioRxiv, 2020.11. 22.393546, 2020 | 11 | 2020 |
| Aging in a relativistic biological space-time D Maestrini, D Abler, V Adhikarla, S Armenian, S Branciamore, ... Frontiers in cell and developmental biology 6, 55, 2018 | 9 | 2018 |
| Entropy of negative temperature states for a point vortex gas D Maestrini, H Salman Journal of Statistical Physics 176, 981-1008, 2019 | 8 | 2019 |
| MicroRNA networks in FLT3-ITD acute myeloid leukemia DH Hoang, D Zhao, S Branciamore, D Maestrini, IR Rodriguez, YH Kuo, ... Proceedings of the National Academy of Sciences 119 (16), e2112482119, 2022 | 7 | 2022 |
| How heterogeneous thymic output and homeostatic proliferation shape naive T cell receptor clone abundance distributions R Dessalles, Y Pan, M Xia, D Maestrini, MR D'Orsogna, T Chou arXiv preprint arXiv:1906.07463, 2019 | 5 | 2019 |
| Evolutionary exploitation of PD-L1 expression in hormone receptor positive breast cancer J West, D Park, C Harmon, D Williamson, P Ashcroft, D Maestrini, ... bioRxiv, 454447, 2018 | 1 | 2018 |
| A mathematical model of reward-mediated learning in drug addiction D Maestrini, M D'Orsogna, T Chou APS March Meeting Abstracts 2021, S12. 014, 2021 | | 2021 |
| Rising Dragons V Adhikarla, D Abler, R Rockne, D Maestrini, P Sahoo The Art of Theoretical Biology, 14-15, 2020 | | 2020 |
| FLT3-ITD Activates Cytoplasmic Drosha-Dependent Non-Canonical Mechanisms of Mir-155 Biogenesis in Acute Myeloid Leukemia B Zhang, DH Hoang, D Zhao, S Branciamore, D Maestrini, SU Yu-Lin, ... Blood 134, 2722, 2019 | | 2019 |
| TMOD-18. EXPLORING THE FACTORS LEAD TO SUCCESS OF CAR T-CELL THERAPY IN GLIOBLASTOMA WITH COMPUTATIONAL MODELING AND IN VITRO DATA P Sahoo, X Yang, D Abler, D Maestrini, V Adhikarla, CE Brown, R Rockne Neuro-Oncology 21 (Suppl 6), vi266, 2019 | | 2019 |
| A mathematical modeling approach to explore kinetics of Chimeric Antigen Receptor (CAR) T-cell Response in glioma: the CARRGO model P Sahoo, X Yang, D Abler, D Maestrini, V Adhikarla, D Frankhouser, ... bioRxiv, 786020, 2019 | | 2019 |
| TMOD-01. THE ROLE OF PERSISTENCE, PROLIFERATION, AND TUMOR CELL KILLING EFFICIENCY IN DETERMINING RESPONSE TO CAR T-CELL THERAPY IN GLIOBLASTOMA: A MATHEMATICAL MODEL AND ANALYSIS P Sahoo, D Abler, V Adhikarla, D Maestrini, R Rockne Neuro-Oncology 20 (Suppl 6), vi268, 2018 | | 2018 |
| A Mathematical Model of Mirna Dynamics Predicts State Transition and Identifies Mirna-126 as an Onco-Mir Promoting Acute Myeloid Leukemia Driven by CBFB-MYH11 R Rockne, S Branciamore, J Qi, L Zhang, WK Hua, C Brewer, LX Nguyen, ... Experimental Hematology 64, S78, 2018 | | 2018 |
| State-Transition Analysis of Time-Sequential Gene Expression Identifies Critical Points That Predict Leukemia Development RC Rockne, S Branciamore, J Qi, D Frankhouser, D O’Meally, WK Hua, ... bioRxiv, 238923, 2017 | | 2017 |
| Transcriptome dynamics describe and predict state transition from health to leukemia RC Rockne, S Branciamore, J Qi, GJ Cook, WK Hua, E Carnahan, ... bioRxiv, 238923, 2017 | | 2017 |
Russell C. RockneAssociate Professor, Director of Mathematical Oncology and Computational Systems BiologyEmail verificata su coh.org
