Author
L. T. Donlin
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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2017-2023 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 45 mutual co-author links6 papers
Recent·Most cited
- ImmunologybioRxivPreprint
Clonal associations of lymphocyte subsets and functional states revealed by single cell antigen receptor profiling of T and B cells in rheumatoid arthritis synovium
G. S. Dunlap, A. Wagner, N. Meednu…·J. Anolik
This study uses single-cell antigen receptor profiling to identify clonal relationships and functional states of T and B cells in RA synovium.
- ImmunologybioRxivPreprint
Clonally expanded CD38hi cytotoxic CD8 T cells define the T cell infiltrate in checkpoint inhibitor-associated arthritis
R. Wang, A. Singaraju, K. E. Marks…·D. A. Rao
This study identifies a distinct CD38hi cytotoxic CD8 T cell subset in ICI-induced arthritis, showing clonal expansion and IFN-driven activation.
DOI 10.1101/2021.10.19.464961 - ImmunologybioRxiv
Defining Inflammatory Cell States in Rheumatoid Arthritis Joint Synovial Tissues by Integrating Single-cell Transcriptomics and Mass Cytometry
F. Zhang, K. Wei, K. Slowikowski…·S. Raychaudhuri
The paper identifies key inflammatory cell states in RA synovial tissues using integrated single-cell and mass cytometry data from patient samples.
- ImmunologybioRxiv
High dimensional analyses of cells dissociated from cryopreserved synovial tissue
L. T. Donlin, D. A. Rao, K. Wei…·M. B Brenner
This paper establishes a protocol for dissociating cryopreserved synovial tissue to obtain viable cells with preserved transcriptomes and surface markers, enabling high-dimensional analysis of rheumatoid arthritis pathology.
DOI 10.1186/s13075-018-1631-y - ImmunologybioRxiv
Single Cell Transcriptomics And Flow Cytometry Reveal Disease-Associated Fibroblast Subsets In Rheumatoid Arthritis
F. Mizoguchi, K. Slowikowski, J. L. Marshall…·M. B. Brenner
The paper identifies disease-associated fibroblast subsets in rheumatoid arthritis using single-cell transcriptomics and flow cytometry, revealing subset-specific markers and functional differences.