Author
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
7 papers
Recent·Most cited
S. V. Vasaikar, A. K. Savage, Q. Gong, E. Swanson, A. Talla, C. Lord, A. Heubeck, J. Reading, L. T. Graybuck, P. Meijer, T. R. Torgerson, P. Skene, T. Bumol, X.-j. Li
PALMO analyzes longitudinal multi-omics data by decomposing variations, identifying stable/variable features, and detecting markers across timepoints, validated on a complex dataset and external benchmarks.
bioRxiv · Oct 17, 2022 · PreprintImmunology
C. E. Gustafson, Z. Thomson, Z. He, E. Swanson, K. Henderson, M.-P. L. Pebworth, L. Y. Okada, A. T. Heubeck, C. R. Roll, V. Hernandez, M. D. Weiss, P. C. Genge, J. Reading, J. R. Giles, S. Manne, , P. J. Skene
The study identifies age-related differences in naive T cell compartments between children and adults, showing distinct molecular reprogramming in CD4 and CD8 subsets.
bioRxiv · Oct 4, 2022 · PreprintImmunology
A. Talla, S. V. Vasaikar, G. Szeto, M. P. Lemos, J. L. Czartoski, H. MacMillan, Z. Moodie, K. W. Cohen, L. B. Fleming, Z. Thomson, L. Okada, L. A. Becker, E. M. Coffey, S. C. DeRosa, E. W. Newell, , T. R. Torgerson
Serum proteome profiling identifies subsets of long COVID patients with evidence of persistent inflammation and key immune signaling pathways.
bioRxiv · May 9, 2022 · PreprintImmunology
S. E. Vazquez, S. A. Mann, A. Bodansky, A. F. Kung, Z. Quandt, E. M. N. Ferre, N. Landegren, D. Eriksson, P. Bastard, S.-Y. Zhang, J. Liu, A. Mitchell, C. Mandel-Brehm, B. Miao, G. Sowa, , J. L. DeRisi
This paper scales PhIP-Seq for autoantibody discovery across multiple autoimmune diseases and COVID19, enabling machine learning predictions and identification of disease-specific autoantigens.
bioRxiv · Mar 23, 2022Immunology
A. Talla, S. V. Vasaikar, M. P. Lemos, Z. Moodie, M.-P. L. Pebworth, K. E. Henderson, K. W. Cohen, J. L. Czartoski, L. Lai, M. S. Suthar, A. T. Heubeck, P. C. Genge, C. R. Roll, M. Weiss, J. Reading, , T. F. Bumol
The paper profiles longitudinal immune responses in mild COVID-19 patients to identify recovery and persistence signatures.
bioRxiv · May 26, 2021 · PreprintImmunology
A. K. Savage, M. V. Gutschow, T. Chiang, K. Henderson, R. Green, M. Chaudhari, E. Swanson, A. T. Heubeck, N. Kondza, K. C. Burley, P. C. Genge, C. Lord, T. Smith, Z. Thomson, A. Beaubien, , T. F. Bumol
This study shows that delayed blood processing causes significant changes in single-cell transcriptomes and plasma proteomes within 6 hours, potentially confounding disease-related biological variance.
bioRxiv · Oct 18, 2020Immunology
E. Swanson, C. Lord, J. Reading, A. T. Heubeck, A. K. Savage, R. Green, X.-j. Li, T. R. Torgerson, T. F. Bumol, L. T. Graybuck, P. J. Skene
The paper introduces TEA-seq, a trimodal assay that integrates scRNA-seq, cell surface epitopes, and scATAC-seq to improve single-cell analysis of transcription, epitopes, and chromatin accessibility.
bioRxiv · Sep 4, 2020 · PreprintImmunology