Author

K. Scherler

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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Bioengineering· 1 Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:human· 2 Assay:proteomics· 2 Research Focus:cell-cell communication· 1 Assay:CITE-seq· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

K. Wang· 2 shared A. Aderem· 1 shared A. F. Palmer· 1 shared A. Freeman· 1 shared A. Magis· 1 shared A. Rothchild· 1 shared A. Xu· 1 shared B. Smith· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioengineering

K. Wang

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Engineering a Single Extracellular Vesicle Protein and RNA Assay (siEVPRA) via In Situ Fluorescence Microscopy in a UV Micropatterned Array

J. Zhang, X. Wang, X. Y. Rima, L. T. H. Nguyen, K. Huntoon, Y. Ma, N. Walters, K. J. Kwak, M. J. Yoon, D. Lee, Y. Wang, J. Ha, K. Scherler, S. Fallen, I. Lee, , E. Reategui

The paper introduces siEVPRA, a method to detect proteins, mRNAs, and miRNAs in single EVs using fluorescence microscopy, showing high sensitivity and clinical utility in GBM samples.

bioRxiv · Aug 5, 2022Bioengineering

An inactivated multivalent influenza A virus vaccine is broadly protective in mice and ferrets

J. Park, S. Fong, L. M. Schwartzman, Z.-M. Sheng, A. Freeman, L. Matthews, Y. Xiao, M. D. Ramuta, N. A. Batchenkova, L. Qi, L. A. Rosas, S. Williams, K. Scherler, M. Gouzoulis, I. Bellayr, , J. K. Taubenberger

This study shows an inactivated multivalent influenza A vaccine provides broad protection against diverse IAV subtypes in mice and ferrets, including non-vaccine strains, suggesting its potential as a universal vaccine.

bioRxiv · Sep 10, 2021Microbiology

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