Author
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
6 papers
Recent·Most cited
N. A. Ewing-Crystal, N. M. Mroz, A. A. Chang, E. D. Merrill, S. E. Caryotakis, L. Teo, A. Larpthaveesarp, T. Tsukui, A. Katewa, R. Pennington, G. L. McKinsey, S. Nelson, A. Ciesielska, M. W. Dahlgren, H. Paidassi, , A. B. Molofsky
This study identifies dynamic fibroblast-immune interactions that regulate CNS wound healing and neuroinflammation after brain injury.
bioRxiv · Mar 13, 2024Immunology
G. L. McKinsey, N. Santander, X. Zhang, K. Kleemann, L. Tran, A. Katewa, K. Conant, M. Barraza, K. Waddell, C. O. Lizama, M. La Russa, J. H. Koo, H. Lee, D. Mukherjee, H. Paidassi, , T. D. Arnold
This study shows radial glia use integrin aVb8-TGFb1 signaling to promote microglial development, with disruptions causing dysmature microglia and neuromotor symptoms.
bioRxiv · Jul 13, 2023Immunology
C. P. McEntee, S. Houston, C. M. Finlay, S. Rossi, G. Liu, T. N. Shaw, J. Casulli, M. Fife, C. Smedley, T. S. Griffith, M. Pepper, T. Hussell, P. M. Hansbro, J.-M. Schwartz, H. Paidassi, M. A. Travis
The paper identifies a subset of CD4+ effector memory T cells that limit secondary immune responses to viral re-infection and prevent lung pathology by activating latent TGFβ.
bioRxiv · Mar 2, 2023 · PreprintImmunology
R. Kedmi, T. Najar, K. R. Mesa, A. Grayson, L. Kroehling, Y. Hao, S. Hao, M. Pokrovskii, M. Xu, J. Talbot, J. Wang, J. Germino, C. A. Lareau, A. T. Satpathy, M. S. Anderson, , D. R. Littman
This study identifies a distinct RORγt+ antigen presenting cell subset that mediates microbiota-driven regulatory T cell differentiation, revealing a mechanism for maintaining immune tolerance.
bioRxiv · Nov 19, 2021 · PreprintImmunology
A. Gainullina, L.-H. Huang, H. Todorov, K. Kim, L. S. Yng, A. Kent, B. Jia, K. Seddu, K. Krchma, J. Wu, K. Crozat, E. Tomasello, V. Narang, R. Dress, P. See, , ImmGen Consortium
The paper analyzes metabolic diversity in mononuclear phagocytes across tissues using integrated datasets and a network-based approach, identifying key metabolic subnetworks and their functional roles.
bioRxiv · Jul 15, 2020Immunology