Author

E. M. Keizer

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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Microbiology· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 2 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Assay:imaging· 2 Organism:Arabidopsis· 1 Organism:E. coli· 1 Assay:flow cytometry· 1 Approach:genetic perturbation / CRISPR· 1

Frequent Co-Authors

C. Fleck· 2 shared A. S. Meijers· 1 shared A. Schnittger· 1 shared C. Jimenez· 1 shared C. P. Kuijl· 1 shared E. N. G. Houben· 1 shared E. Wijnker· 1 shared F. Büke· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersMicrobiology

C. Fleck

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Author profile →

3 papers

Recent·Most cited

The ESX-1 substrate PPE68 has a key function in the ESX-1 mediated secretion in Mycobacterium marinum

M. P. M. Damen, A. S. Meijers, E. M. Keizer, S. R. Piersma, C. Jimenez, C. P. Kuijl, W. Bitter, E. N. G. Houben

This paper identifies PPE68 as essential for ESX-1 mediated secretion of EsxA and EspE in M. marinum, revealing distinct domains of PPE68 involved in different secretion processes.

bioRxiv · Jun 21, 2022Microbiology

Single Cell Variability of CRISPR-Cas Interference and Adaptation

R. E. McKenzie, E. M. Keizer, J. N. A. Vink, J. van Lopik, F. Büke, V. Kalkman, C. Fleck, S. J. Tans, S. J. J. Brouns

The paper studies CRISPR-Cas interference and adaptation in E. coli, finding cell-to-cell variability in clearance times due to primed adaptation, with Cascade binding as the main source of heterogeneity.

bioRxiv · Jul 21, 2021Microbiology

Live cell imaging of meiosis in Arabidopsis thaliana - a landmark system

M. A. Prusicki, E. M. Keizer, R. P. van Rosmalen, S. Komaki, F. Seifert, K. Müller, E. Wijnker, C. Fleck, A. Schnittger

The paper establishes a live cell imaging system to study meiotic progression in Arabidopsis, identifying 11 recurrent states that serve as landmarks for analyzing meiosis dynamics and evaluating mutants.

bioRxiv · Oct 18, 2018Cell Biology