Author

A. Netzl

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· 3

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 3 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Assay:proteomics· 1 Organism:rat· 1

Frequent Co-Authors

D. J. Smith· 3 shared S. H. Wilks· 3 shared S. Tureli· 2 shared A. Jassem· 1 shared A. Mykytyn· 1 shared A. Roessler· 1 shared B. L. Haagmans· 1 shared B. Muehlemann· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersImmunology

D. J. Smith

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Direct comparison of SARS-CoV-2 variant specific neutralizing antibodies in human and hamster sera

A. Roessler, A. Netzl, L. Knabl, S. H. Wilks, B. Muehlemann, S. Tuereli, A. Mykytyn, D. von Laer, B. L. Haagmans, D. J. Smith, J. Kimpel

This study compares neutralizing antibody titers in human and hamster sera against SARS-CoV-2 variants using a live-virus neutralization assay, finding hamster sera show higher reactivity.

bioRxiv · Dec 19, 2023Immunology

Mapping SARS-CoV-2 antigenic relationships and serological responses

S. H. Wilks, B. Muhlemann, X. Shen, S. Tureli, E. B. LeGresley, A. Netzl, M. A. Caniza, J. N. Chacaltana-Huarcaya, V. M. Corman, X. Daniell, M. B. Datto, F. S. Dawood, T. N. Denny, C. Drosten, R. A. M. Fouchier, , D. J. Smith

The paper uses antigenic cartography to analyze cross-reactivity among SARS-CoV-2 variants and human sera, identifying amino acid substitutions and immunodominance patterns affecting immune escape and vaccine efficacy.

bioRxiv · Jan 28, 2022Immunology

Combining antigenic data from public sources gives an early indication of the immune escape of emerging virus variants

A. Netzl, S. Tureli, E. LeGresley, B. Mühlemann, S. H. Wilks, D. J. Smith

The paper aggregates and analyzes antigenic data from multiple sources to assess immune escape of the Omicron BA.1 variant and shows reliable results after one month of data collection.

bioRxiv · Dec 31, 2021 · PreprintImmunology