Author

K. C. Nadeau

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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Immunology· 6

Signature Assays, Organisms & Methods

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Organism:human· 6 Research Focus:cell type annotation· 5 Research Focus:differential expression· 4 Approach:experimental assay· 3 Research Focus:gene regulatory network inference· 3 Assay:proteomics· 3 Approach:deep learning· 2 Assay:scRNA-seq· 2

Frequent Co-Authors

B. A. Pinsky· 2 shared C. A. Blish· 2 shared S. D. Boyd· 2 shared S. Yang· 2 shared A. Cassidy· 1 shared A. J. Rogers· 1 shared A. J. Wilk· 1 shared A. Kundaje· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersImmunology

B. A. Pinsky

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Author profile →

6 papers

Recent·Most cited

Disease diagnostics using machine learning of immune receptors

M. E. Zaslavsky, E. Craig, J. K. Michuda, N. Sehgal, N. Ram-Mohan, J.-Y. Lee, K. D. Nguyen, R. A. Hoh, T. D. Pham, K. Röltgen, B. Lam, E. S. Parsons, S. R. Macwana, W. DeJager, E. M. Drapeau, , S. D. Boyd

The paper develops Mal-ID, a machine learning framework using immune receptor data to diagnose diseases, detecting infections, autoimmune disorders, and vaccine responses.

bioRxiv · Apr 26, 2022Immunology

Exponential magnetophoretic gradient for the direct isolation of basophils from whole blood in a microfluidic system

N. Castano, S. Kim, A. M. Martin, S. J. Galli, K. C. Nadeau, S. K. Y. Tang

This paper presents a microfluidic device for rapid, high-purity basophil isolation from whole blood using an exponential magnetophoretic gradient, achieving 93.9% purity and 95.6% recovery.

bioRxiv · Feb 11, 2022Immunology

Structurally and functionally distinct early antibody responses predict COVID-19 disease trajectory and mRNA vaccine response

S. Chakraborty, J. C. Gonzalez, B. L. Sievers, V. Mallajosyula, M. Dubey, Y.-L. B. Cheng, K. Q. T. Tran, S. Chakraborty, A. Cassidy, S. T. Chen, A. Sinnott, T. Gelbart, Y. Golan, M. Prahl, U. Singh, , T. T. Wang

The paper identifies early antibody responses that predict COVID-19 severity and vaccine response, showing functional differences in inflammation regulation.

bioRxiv · May 25, 2021 · PreprintImmunology

Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19

D. Feyaerts, J. Hedou, J. Gillard, H. Chen, E. S. Tsai, L. S. Peterson, K. Ando, M. Manohar, E. Do, G. K. R. Dhondalay, J. Fitzpatrick, M. Artandi, I. Chang, T. T. Snow, R. S. Chinthrajah, , D. R. McIlwain

This study integrates plasma proteomics and single-cell immune features to classify COVID-19 severity and identify biological signatures of disease progression.

bioRxiv · Feb 9, 2021Immunology

Multi-omic profiling reveals widespread dysregulation of innate immunity and hematopoiesis in COVID-19

A. J. Wilk, M. J. Lee, B. Wei, B. Parks, R. Pi, G. J. Martinez-Colon, T. Ranganath, N. Q. Zhao, S. Taylor, W. Becker, Stanford COVID-19 Biobank, D. Jimenez-Morales, A. L. Blomkalns, R. O'Hara, E. A. Ashley, , C. A. Blish

Single-cell multi-omic profiling identifies immune dysregulation in severe COVID-19, including neutrophil hyperactivation and anti-inflammatory monocytes.

bioRxiv · Dec 18, 2020Immunology

Human IgE producing B cells have a unique transcriptional program and generate high affinity, allergen-specific antibodies

D. Croote, S. Darmanis, K. C. Nadeau, S. R. Quake

The paper isolates and characterizes IgE-producing B cells from allergic individuals using scRNA-seq, revealing unique transcriptional features, high-affinity antibodies, and convergent evolution in allergen specificity.

bioRxiv · May 22, 2018Immunology