Author

M. Napoli

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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Biochemistry· 1 Ecology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 3 Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

A. C. Garretson· 1 shared A. Yevtushenko· 1 shared B. L. Schulz· 1 shared B. Walzog· 1 shared C. Aitken· 1 shared C. B. Howard· 1 shared C. L. Pegg· 1 shared C. Marr· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperEcology

A. C. Garretson

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Cytosolic S100A8/A9 promotes Ca2+ supply at LFA-1 adhesion clusters during neutrophil recruitment

M. Napoli, R. Immler, I. Rohwedder, V. Lupperger, J. Pfabe, M. Gonzalez Pisfil, A. Yevtushenko, T. Vogl, J. Roth, M. Salvermoser, S. Dietzel, M. Slak Rupnik, C. Marr, B. Walzog, M. Sperandio, M. Pruenster

The paper shows that cytosolic S100A8/A9 is essential for neutrophil adhesion under flow by regulating Ca2+ availability at LFA-1 adhesion clusters.

bioRxiv · Apr 16, 2024Physiology

Networks of Phenological Synchrony Reveal a Highly Interconnected Ecosystem and Potential Vulnerability to Climate-Driven Mismatches

A. C. Garretson, N. Feldsine, M. Napoli, E. C. Long, R. E. Forkner

This study analyzes a long-term phenology dataset to show advancing species phenologies, highlights network synchrony, and identifies vulnerable species interactions under climate change.

bioRxiv · Jul 11, 2022 · PreprintEcology

Analysis of coagulation factor IX in bioreactor cell culture medium predicts yield and quality of the purified product

L. F. Zacchi, D. Roche Recinos, C. L. Pegg, T. K. Phung, M. Napoli, C. Aitken, V. Sandford, S. M. Mahler, Y. Y. Lee, B. L. Schulz, C. B. Howard

The paper uses DIA-MS proteomics to predict rFIX yield and quality by analyzing bioreactor supernatant, identifying PTMs and their impact on purification and function.

bioRxiv · Jun 3, 2020Biochemistry