Author

A. F. Kung

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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Research Focus:cell type annotation· 3 Assay:proteomics· 3 Approach:experimental assay· 2 Organism:human· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:mouse· 1

Frequent Co-Authors

J. L. DeRisi· 3 shared C. Mandel-Brehm· 2 shared M. R. Wilson· 2 shared M. S. Anderson· 2 shared S. E. Vazquez· 2 shared A. Bodansky· 1 shared A. Mitchell· 1 shared A. Ramesh· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersImmunology

J. L. DeRisi

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3 papers

Recent·Most cited

Validation of a murine proteome-wide phage display library for the identification of autoantibody specificities

E. Rackaityte, I. Proekt, H. S. Miller, A. Ramesh, J. F. Brooks, A. F. Kung, C. Mandel-Brehm, D. Yu, C. Zamecnik, R. Bair, S. E. Vazquez, S. Sunshine, C. L. Abram, C. A. Lowell, G. Rizzuto, , J. L. DeRisi

This paper validates a murine proteome-wide PhIP-seq library to identify autoantibody specificities in autoimmune disease models.

bioRxiv · Apr 7, 2023Immunology

Proteome-wide antigenic profiling in Ugandan cohorts identifies associations between age, exposure intensity, and responses to repeat-containing antigens in Plasmodium falciparum

M. Raghavan, K. L. Kalantar, E. Duarte, N. Teyssier, S. Takahashi, A. F. Kung, J. V. Rajan, J. Rek, K. K. A. Tetteh, C. Drakeley, I. Ssewanyana, I. Rodriguez-Barraquer, B. Greenhouse, J. L. DeRisi

The paper profiles antibody responses to Plasmodium falciparum antigens in Ugandan cohorts, finding that repeat-containing antigens show stronger exposure-dependent responses and shared cross-reactive motifs.

bioRxiv · Jun 24, 2022Immunology

Autoantibody discovery across monogenic, acquired, and COVID19-associated autoimmunity with scalable PhIP-Seq

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