Author

M. Na

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· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:mouse· 2 Assay:proteomics· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

A. Ashkenazi· 1 shared A. Barzel· 1 shared A. Gleiberman· 1 shared A. Gutwillig· 1 shared A. Khateeb· 1 shared A. Richter· 1 shared A. Zarfin· 1 shared A.-M. Liebhoff· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperImmunology

A. Ashkenazi

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Expression of modified FcγRI enables myeloid cells to elicit robust tumor-specific cytotoxicity

Y. Carmi, L. Farhat-Younis, M. Na, A. Zarfin, N. Santana-Magal, A. Richter, A. Khateeb, A. Gutwillig, D. Rasoulouniriana, A. Gleiberman, L. Beck, T. Giger, A. Ashkenazi, A. Barzel, P. Rider

This study modifies myeloid cells to elicit tumor-specific cytotoxicity using chimeric receptors that signal through IgM and bind tumor antigens.

bioRxiv · Sep 30, 2023Immunology

Efficient encoding of large antigenic spaces by epitope prioritization with Dolphyn

A.-M. Liebhoff, T. Venkataraman, W. R. Morgenlander, M. Na, T. Kula, K. Waugh, C. Morrison, M. Rewers, R. Longman, J. Round, S. Elledge, I. Ruczinski, B. Langmead, H. B. Larman

The paper develops Dolphyn, a machine learning method to improve PhIP-Seq by prioritizing epitopes, increasing antibody-bound peptides from 10% to 31% and reducing synthesized peptides by 78%.

bioRxiv · Jul 30, 2023Bioengineering

Fast volumetric imaging with line-scan confocal microscopy by an electro-tunable lens

D. K. Mac, M. M. Qureshi, M. Na, S. Chang, H. Kwon, T. J. Eom, H. S. Je, Y. R. Kim, E. Chung

This paper introduces an electro-tunable lens in line-scan confocal microscopy to enable fast volumetric imaging with high acquisition rates and depth resolution.

bioRxiv · Dec 1, 2021 · PreprintBioengineering