Author

P. Pichler

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 Animal Behavior & Cognition· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 4 Assay:proteomics· 3 Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 2 Organism:human· 2 Assay:behavioral assay· 1 Research Focus:clustering· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

K. Mechtler· 3 shared M. Matzinger· 3 shared A. Kurnikowski· 1 shared B. Delanghe· 1 shared C. L. Buckley· 1 shared D. Saska· 1 shared E. Damoc· 1 shared E. Mueller· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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3 shared papersBiochemistry

K. Mechtler

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Author profile →

4 papers

Recent·Most cited

Challenging the Astral mass analyzer - up to 5300 proteins per single-cell at unseen quantitative accuracy to study cellular heterogeneity.

J. A. Bubis, T. N. Arrey, E. Damoc, B. Delanghe, J. Slovakova, T. M. Sommer, H. Kagawa, P. Pichler, N. C. Rivron, K. Mechtler, M. Matzinger

This paper introduces a high-throughput single-cell proteomics workflow achieving 5300 protein groups per cell with high accuracy, enabling the study of cellular heterogeneity and lineage differentiation.

bioRxiv · Feb 1, 2024 · PreprintBiochemistry

A method for deep and quantitative protein profiling of urine sediment, soluble and exosome fractions for biomarker research

P. Pichler, A. Kurnikowski, M. Matzinger, K. Mechtler

This paper introduces a method for deep quantitative proteomics profiling of urine sediment, soluble, and exosome fractions to identify potential biomarkers for kidney disease.

bioRxiv · Jun 26, 2023 · PreprintBiochemistry

Robust and easy-to-use one pot workflow for label free single cell proteomics

M. Matzinger, E. Mueller, G. Duernberger, P. Pichler, K. Mechtler

This paper introduces a one-pot workflow for label-free single-cell proteomics, achieving high sensitivity and reproducibility with a dynamic range of four orders of magnitude.

bioRxiv · Oct 3, 2022Biochemistry

Control algorithms underlying the translational optomotor response

J. G. Holman, W. W. K. Lai, P. Pichler, D. Saska, L. Lagnado, C. L. Buckley

This paper investigates the control algorithms of the translational optomotor response in larval zebrafish through computational modeling and behavioral experiments, finding that position stabilization is partial and gain-dependent.

bioRxiv · Mar 16, 2022 · PreprintAnimal Behavior & Cognition