Author

C. Ctortecka

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 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 5 Approach:experimental assay· 4 Organism:human· 4 Research Focus:cell type annotation· 3 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

K. Mechtler· 3 shared S. Mendjan· 3 shared A. Seth· 2 shared G. Krssakova· 2 shared K. Stejskal· 2 shared N. Udeshi· 2 shared S. A. Carr· 2 shared B. Boyle· 1 shared

Activity by Year

2021-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersBiochemistry

K. Mechtler

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Author profile →

5 papers

Recent·Most cited

Automated single-cell proteomics providing sufficient proteome depth to study complex biology beyond cell type classifications

C. Ctortecka, N. M. Clark, B. Boyle, A. Seth, D. R. Mani, N. Udeshi, S. A. Carr

This study presents an automated single-cell proteomics workflow that identifies over 4,000 proteins per cell and detects key regulatory proteins in LPS-perturbed THP-1 cells.

bioRxiv · Jan 20, 2024 · PreprintBiochemistry

Sensitive, high-throughput HLA-I and HLA-II immunopeptidomics using parallel accumulation-serial fragmentation mass spectrometry

K. Phulphagar, C. Ctortecka, S. Vaca, S. Klaeger, E. K. Verzani, G. M. Hernandez, N. Udeshi, K. R. Clauser, J. Abelin, S. A. Carr

This paper develops a high-throughput, sensitive MS-based immunopeptidomics workflow to identify HLA-I and HLA-II peptides from tumor samples, achieving improved coverage with reduced sample requirements.

bioRxiv · Mar 10, 2023Immunology

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