Author

Nico Zinn

GlaxoSmithKline (Germany)ORCID 0000-0003-3592-5751Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Approach:genetic perturbation / CRISPR· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Stephan GadeiD· 2 shared Aikaterini GeladakiiD· 1 shared Alessandro Di Tullio· 1 shared Alex Phillipou· 1 shared Andres Quintero Moreno· 1 shared Ashley P. Hancock· 1 shared Benedetta Carbone· 1 shared Bin Sun· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersImmunology

Stephan GadeORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

ImmunologybioRxivPreprintSep 14, 2026

High-throughput platforms for genetic perturbation screening using CRISPR/Cas9 in human iPSC-derived macrophages for drug discovery

Matteo Martufi, Eleni Karagianni, Tasos Papanikos…·Lisa Mohamet

The paper establishes a CRISPR/Cas9 screening platform in hiPSC-derived macrophages to identify genetic targets influencing inflammatory responses and functional phenotypes.

DOI 10.64898/2026.09.11.750978

humanbulk RNA-seq

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ImmunologybioRxivPreprintNov 17, 2025

Discovery of an orally available potent ER aminopeptidase 1 (ERAP1) inhibitor that enhances anti-tumor responses and limits inflammatory autoimmunity in vivo.

Christopher P. Tinworth, Justyna Wojno, Michael Adam…·Efstratios Stratikos

DOI 10.1101/2025.11.17.686761

mouseexperimental assay

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BioinformaticsJournal of Proteome ResearchPeer-reviewedJan 22, 2025

PeptideForest: Semisupervised machine learning integrating multiple search engines for peptide identification

Tristan Ranff, Matthew Dennison, Jeroen Bédorf…·Christian Fufezan

PeptideForest improves peptide identification by integrating multiple search engines and increases PSMs with q-value <1% without compromising quantification quality.

2 citations

humanE. coli

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