Author

J. R. Heath

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· 4 Bioengineering· 2

Signature Assays, Organisms & Methods

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Organism:human· 6 Research Focus:cell type annotation· 5 Assay:CITE-seq· 3 Research Focus:differential expression· 3 Approach:experimental assay· 3 Assay:proteomics· 3 Approach:statistical model· 3 Research Focus:cell-cell communication· 2

Frequent Co-Authors

A. Xu· 2 shared D. Baltimore· 2 shared J. Choi· 2 shared J. D. Goldman· 2 shared L. L. Lanier· 2 shared N. Subramanian· 2 shared S. Huang· 2 shared S. Yang· 2 shared

Activity by Year

2019-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersImmunology

A. Xu

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6 papers

Recent·Most cited

CITE-seq analysis reveals human cytomegalovirus and diabetes-associated adaptive NK cell alterations in cardiovascular disease.

S. S. Armstrong, D. G. Chen, S. Kumar, J. R. Heath, M. Feinstein, J. R. Greenland, D. R. Calabrese, L. L. Lanier, K. Ley, A. Shemesh

The paper uses CITE-seq to analyze NK cell alterations in CAD patients, finding SPON2/IFNG ratio and adaptive NK cell signatures correlate with disease severity and inflammation.

bioRxiv · Mar 22, 2024 · PreprintImmunology

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

Multiomic Immunophenotyping of COVID-19 Patients Reveals Early Infection Trajectories

Y. Su, D. Chen, C. Lausted, D. Yuan, J. Choi, C. Dai, V. Voillet, K. Scherler, P. Troisch, V. R. Duvvuri, P. Baloni, G. Qin, B. Smith, S. Kornilov, C. Rostomily, , the

This study integrates multi-omic data from COVID-19 patients to identify immune response patterns linked to disease severity.

bioRxiv · Jul 27, 2020 · PreprintImmunology

Antibody-Recruiting Protein-Catalyzed Capture Agents to Combat Antibiotic-Resistant Bacteria

M. N. Idso, A. S. Akhade, M. L. Arrieta-Ortiz, B. T. Lai, V. Srinivas, J. P. Hopkins, A. Oliveira Gomes, N. Subramanian, N. Baliga, J. R. Heath

This paper develops AR-PCCs, a computational and synthetic approach, to rapidly create targeted antibiotics against drug-resistant bacteria by leveraging macrocyclic peptide ligands and antibody recruitment.

bioRxiv · Oct 29, 2019Bioengineering

Trajectories from Snapshots: Integrated proteomic and metabolic single-cell assays reveal multiple independent adaptive responses to drug tolerance in a BRAF-mutant melanoma cell line

Y. Su, G. Li, M. E. Ko, H. Cheng, R. Zhu, M. Xue, J. Wang, J. W. Lee, L. Frankiw, A. Xu, S. Wong, L. Robert, K. Takata, S. Huang, A. Ribas, , J. R. Heath

The paper uses integrated proteomic and metabolic single-cell assays to identify two distinct adaptive pathways in BRAF-mutant melanoma cells during drug treatment.

bioRxiv · Sep 12, 2019 · PreprintBioengineering

MATE-Seq: Microfluidic Antigen-TCR Engagement Sequencing

A. H. Ng, S. Peng, A. M. Xu, W. J. Noh, K. Guo, M. T. Bethune, W. Chour, J. Choi, S. Yang, D. Baltimore, J. R. Heath

MATE-Seq identifies antigen-specific T-cell receptors by isolating and sequencing T-cells bound to peptide-MHC tetramers with high sensitivity.

bioRxiv · Jul 18, 2019Immunology