Author

P. Lampe

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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Animal Behavior & Cognition· 1 Cell Biology· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:ecology & biodiversity· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

B. Freisleben· 2 shared J. Gottwald· 2 shared R. Brandl· 2 shared T. Nauss· 2 shared A. Antebi· 1 shared C. Calabrese· 1 shared D. G. Schabo· 1 shared D. Thomas· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersEcology

B. Freisleben

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Mitochondrial translocation of TFEB regulates complex I and inflammation

C. Calabrese, H. Nolte, M. R. Pitman, R. Ganesan, P. Lampe, R. Laboy, R. Ripa, J. Fischer, S. Chipurupalli, S. Gutierrez, R. Polara, D. Thomas, S. M. Pitson, A. Antebi, N. Robinson

This study shows TFEB regulates mitochondrial complex I and inflammation through non-transcriptional mechanisms, with implications for immune pathogenesis during infection.

bioRxiv · Feb 27, 2023Cell Biology

Automated non-lethal moth traps can be used for robust estimates of moth abundance

J. Mielke Moeglich, P. Lampe, M. Fickus, J. Gottwald, T. Nauss, R. Brandl, M. Braendle, N. Friess, B. Freisleben, L. Heidrich

This study evaluates an automated non-lethal moth trap's effectiveness in estimating moth abundance compared to a conventional lethal trap, finding similar seasonal patterns but requiring adjustments for long-term use.

bioRxiv · Jun 13, 2022 · PreprintEcology

Classifying the activity states of small vertebrates using automated VHF telemetry

J. Gottwald, R. Royaute, M. Becker, T. Geitz, J. Hoechst, P. Lampe, L. Leister, K. Lindner, J. Maier, S. Roesner, D. G. Schabo, B. Freisleben, T. Mueller, R. Brandl, N. Farwig, T. Nauss

This paper develops a random forest model to classify activity states of small vertebrates using VHF telemetry signals, achieving high accuracy across species.

bioRxiv · Mar 22, 2022Animal Behavior & Cognition