Author

M. Bern

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· 2 Immunology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:proteomics· 3 Research Focus:cell type annotation· 2 Organism:mouse· 2 Organism:bacteria (other)· 1 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1

Frequent Co-Authors

B. L. Schulz· 2 shared C. L. Pegg· 2 shared M. Colonna· 2 shared T. K. Phung· 2 shared W. M. Yokoyama· 2 shared A. Chernykh· 1 shared A. E. Acosta-Martin· 1 shared A. Nichols· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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2 shared papersBiochemistry

B. L. Schulz

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

The Transcription Factor Bach2 Negatively Regulates Natural Killer Cell Maturation and Function

S. Li, M. Bern, B. Miao, T. Inoue, S. J. Piersma, M. Colonna, T. Kurosaki, W. M. Yokoyama

This study shows Bach2 negatively regulates NK cell maturation and function by correlating with TCF1 and opposing effector molecule and cell cycle gene expression.

bioRxiv · Feb 14, 2022 · PreprintImmunology

PGfinder, a novel analysis pipeline for the consistent, reproducible and high- resolution structural analysis of bacterial peptidoglycans

A. V. Patel, R. D. Turner, A. Rifflet, A. E. Acosta-Martin, A. Nichols, M. M. Awad, D. Lyras, I. Gomperts Boneca, M. Bern, M. Collins, S. Mesnage

PGfinder provides an automated pipeline for high-resolution structural analysis of bacterial peptidoglycans, enabling consistent and reproducible quantification of PG fragments and discovery of novel structural features.

bioRxiv · Jun 1, 2021Microbiology

Community Evaluation of Glycoproteomics Informatics Solutions Reveals High-Performance Search Strategies of Serum N- and O-Glycopeptide Data

R. Kawahara, A. Chernykh, K. Alagesan, M. Bern, W. Cao, R. J. Chalkley, K. Cheng, M. S. Choo, N. Edwards, R. Goldman, M. Hoffmann, Y. Hu, Y. Huang, J. Y. Kim, D. Kletter, , Palmisano

This study evaluates glycoproteomics software performance using human serum datasets, identifies high-performance strategies, and provides recommendations for improved analysis.

bioRxiv · Mar 14, 2021 · PreprintBiochemistry

Quantitative data independent acquisition glycoproteomics of sparkling wine

C. L. Pegg, T. K. Phung, C. H. Caboche, S. Niamsuphap, M. Bern, K. Howell, B. L. Schulz

This study quantitatively analyzes glycoproteomics in sparkling wines to assess aging and yeast strain effects on glycosylation profiles.

bioRxiv · Jun 9, 2020Biochemistry

Toxoplasma gondii infection drives conversion of NK Cells into ILC1s

E. Park, S. Patel, Q. Wang, P. Andhey, K. Zaitsev, S. Porter, M. Hershey, M. Bern, B. Plougastel-Douglas, P. Collins, M. Colonna, K. M. Murphy, E. Oltz, M. Artyomov, L. D. Sibley, W. M. Yokoyama

This study shows Toxoplasma gondii infection converts NK cells into ILC1-like cells that persist and circulate independently of infection.

bioRxiv · May 17, 2019Immunology