Author

S. Mendjan

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· 3

Signature Assays, Organisms & Methods

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Assay:proteomics· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:statistical model· 1

Frequent Co-Authors

C. Ctortecka· 3 shared K. Mechtler· 3 shared G. Krssakova· 2 shared K. Stejskal· 2 shared A. Seth· 1 shared D. Hartlmayr· 1 shared G. Tourniaire· 1 shared J. Penninger· 1 shared

Activity by Year

2021-2021 · peak 3/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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3 shared papersBiochemistry

C. Ctortecka

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Author profile →

3 papers

Recent·Most cited

Quantitative accuracy and precision in multiplexed single-cell proteomics.

C. Ctortecka, K. Stejskal, G. Krssakova, S. Mendjan, K. Mechtler

This study evaluates the impact of carrier spikes on quantitative accuracy in multiplexed single-cell proteomics and proposes optimized experimental designs.

bioRxiv · Sep 3, 2021Biochemistry

An automated workflow for multiplexed single-cell proteomics sample preparation at unprecedented sensitivity.

C. Ctortecka, D. Hartlmayr, A. Seth, S. Mendjan, G. Tourniaire, K. Mechtler

This paper introduces an automated workflow for single-cell proteomics with high sensitivity and throughput, demonstrating its ability to distinguish cell types and reveal biological insights.

bioRxiv · Apr 14, 2021 · PreprintBiochemistry

Comparative proteome signatures of trace samples by multiplexed Data-Independent Acquisition

C. Ctortecka, G. Krssakova, K. Stejskal, J. Penninger, S. Mendjan, K. Mechtler, J. Stadlmann

The paper develops a method to quantitatively compare proteome signatures from ultra-low input samples using DIA-TMT multiplexing and a novel analysis pipeline.

bioRxiv · Feb 11, 2021Biochemistry