Author

P. Lasch

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· 3 Biochemistry· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 5 Assay:proteomics· 5 Research Focus:cell type annotation· 2 Organism:bacteria (other)· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

A. Schneider· 5 shared J. Doellinger· 4 shared C. Blumenscheit· 3 shared C. John· 1 shared D. Joerg· 1 shared D. Maus· 1 shared D. Schulze-Makuch· 1 shared G. Werner· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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5 shared papersMicrobiology

A. Schneider

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Increasing proteome depth while maintaining quantitative precision in short gradient data-independent acquisition proteomics

J. Doellinger, C. Blumenscheit, A. Schneider, P. Lasch

This paper shows that reducing data points per peak in short gradient DIA-MS increases proteome depth while maintaining quantitative precision.

bioRxiv · Sep 12, 2022 · PreprintBiochemistry

Perchlorate-Specific Proteomic Stress Responses of Debaryomyces hansenii Could Enable Microbial Survival in Martian Brines

J. Heinz, J. Doellinger, D. Maus, A. Schneider, P. Lasch, H.-P. Grossart, D. Schulze-Makuch

This study identifies perchlorate-specific proteomic stress responses in Debaryomyces hansenii, revealing mechanisms that may enable microbial survival in Martian brines.

bioRxiv · May 2, 2022Cell Biology

Unbiased antimicrobial resistance detection from clinical bacterial isolates using proteomics

C. Blumenscheit, Y. Pfeifer, G. Werner, C. John, A. Schneider, P. Lasch, D. Joerg

This study presents an unbiased proteomics workflow for detecting bacterial species and antimicrobial resistance proteins from clinical isolates in under 4 hours with high sensitivity and specificity.

bioRxiv · Nov 17, 2020 · PreprintMicrobiology

Evaluation of MALDI-ToF Mass Spectrometry for Rapid Detection of Cereulide from Bacillus cereus Cultures

J. Doellinger, A. Schneider, T. Stark, M. Ehling-Schulz, P. Lasch

This study evaluates MALDI-ToF MS for detecting cereulide in B. cereus cultures, proposing a workflow that enables rapid and sensitive identification of the toxin using standard equipment.

Frontiers in Microbiology · Oct 6, 2020Peer-reviewedMicrobiology

Identification of Microorganisms by Liquid Chromatography-Mass Spectrometry (LC-MS1) and in silico Peptide Mass Data

P. Lasch, A. Schneider, C. Blumenscheit, J. Doellinger

This study presents a rapid, accurate, and automatable method for microbial identification using LC-MS1 data and an in silico peptide mass library.

bioRxiv · Dec 10, 2019Microbiology