Author

G. Krssakova

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· 4

Signature Assays, Organisms & Methods

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Assay:proteomics· 4 Research Focus:benchmarking· 2 Approach:deep learning· 2 Organism:human· 2 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

K. Mechtler· 4 shared K. Stejskal· 3 shared C. Ctortecka· 2 shared J. Stadlmann· 2 shared S. Mendjan· 2 shared A. Schmücker· 1 shared F. Berger· 1 shared G. Desmet· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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4 shared papersBiochemistry

K. Mechtler

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4 papers

Recent·Most cited

Wide Window Acquisition and AI-based data analysis to reach deep proteome coverage for a wide sample range, including single cell proteomic inputs

R. L. Mayer, M. Matzinger, A. Schmücker, K. Stejskal, G. Krssakova, F. Berger, K. Mechtler

The paper introduces a workflow combining micro pillar array columns, wide window acquisition, and AI-based search engine to enhance proteome coverage and throughput, particularly for single-cell samples.

bioRxiv · Sep 1, 2022 · PreprintBiochemistry

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

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

Improved Sensitivity in Low-Input Proteomics using Micro-Pillar Array-based Chromatography

J. Stadlmann, O. Hudecz, G. Krssakova, G. Van Raemdonck, J. Op De Beeck, G. Desmet, J. M. Penninger, P. Jacobs, K. Mechtler

The paper benchmarks a micro-pillar array column against a conventional nano-flow HPLC column, showing improved sensitivity and peptide/protein identification in low-input proteomics.

bioRxiv · Jun 21, 2019Biochemistry