Author

N. H. Packer

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 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell type annotation· 2 Organism:human· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:metabolomics· 1 Assay:metagenomics· 1 Organism:mouse· 1

Frequent Co-Authors

A. Everest-Dass· 1 shared A. M. M. Sathili· 1 shared C. Krisp· 1 shared D. Kolarich· 1 shared F. Altmann· 1 shared F. Schirmeister· 1 shared F. Yang· 1 shared G. Yan· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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1 shared paperBiochemistry

A. Everest-Dass

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Author profile →

3 papers

Recent·Most cited

Intermittent fasting has a diet-specific impact on the gut microbiota and colonic mucin O-glycosylation of mice

H. K. A. H. Gamage, A. M. M. Sathili, K. Nishtala, R. W. W. Chong, N. H. Packer, I. T. Paulsen

This study examines how intermittent fasting affects gut microbiota and mucin O-glycosylation in mice on different diets, finding diet-specific changes in microbial communities and glycan structures.

bioRxiv · Sep 15, 2022 · PreprintMicrobiology

Better together - Relative retention time plus spectral matching improves automated glycan characterization using PGC-nLC-IT-ESI-MS/MS

K. Alagesan, F. Schirmeister, U. Moeginger, A. Everest-Dass, F. Altmann, P. H. Seeberger, M. von Itzstein, N. H. Packer, D. Kolarich

The paper introduces GlycoRRT, a tool combining retention time and spectral analysis for automated glycan characterization using PGC-nLC-MS/MS, and applies it to human and animal glycomics data.

bioRxiv · Aug 4, 2021 · PreprintBiochemistry

An improved comprehensive strategy for deep and quantitative N-glycomics based on optimization of sample preparation, isotope-based data quality control and quantification, new N-glycan libraries and new algorithms

Y. Guan, J. Hu, W. Cao, W. Cui, F. Yang, C. Krisp, L. Lin, M. Zhang, H. Voss, R. Schuster, G. Yan, M. M. Fuh, M. Thaysen-Andersen, N. H. Packer, H. Shen, , H. Schlüter

The paper presents an improved strategy for deep N-glycomics with optimized sample prep, isotope-based QC, new libraries, and algorithms, but the manuscript was withdrawn due to incomplete data.

bioRxiv · Oct 15, 2020 · PreprintBiochemistry