Author

M. Locard-Paulet

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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Cell Biology· 2 Biochemistry· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 4 Approach:experimental assay· 3 Organism:human· 3 Research Focus:differential expression· 2 Research Focus:protein folding & dynamics· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

L. J. Jensen· 2 shared A. Gyorgy Prosz· 1 shared B. Lopez-Mendez· 1 shared D. Zivkovic· 1 shared H. A. Anagho· 1 shared J. Lesne· 1 shared J. Marcoux· 1 shared J. Parra· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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2 shared papersBiochemistry

L. J. Jensen

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Author profile →

4 papers

Recent·Most cited

STREAMLINED PROTEOME-WIDE IDENTIFICATION OF DRUG TARGETS INDICATES ORGAN-SPECIFIC ENGAGEMENT

T. S. Batth, M. Locard-Paulet, N. T. Doncheva, B. Lopez-Mendez, L. J. Jensen, J. V. Olsen

The paper develops a proteomics method to identify drug targets across the proteome, revealing organ-specific interactions and global drug effects.

bioRxiv · Feb 8, 2024 · PreprintBiochemistry

A site-specific analysis of the ADP-Ribosylome unveils Homogeneous DNA Damage-Induced Serine ADP-Ribosylation across wild-type and BRCA-mutant Breast Cancer cell lines

H. A. Anagho, M. Mullari, A. Gyorgy Prosz, S. C. Buch-Larsen, M. Locard-Paulet, Z. Szallasi, M. L. Nielsen

The paper analyzes the ADP-ribosylome in breast cancer cell lines to identify site-specific ADP-ribosylation patterns and their relation to PARP inhibitor sensitivity.

bioRxiv · Dec 15, 2023 · PreprintCell Biology

Identifying the genes impacted by cell proliferation in proteomics and transcriptomics studies

M. Locard-Paulet, O. Palasca, L. J. Jensen

The paper identifies 223 genes correlated with cell proliferation rates across proteomics and transcriptomics datasets to improve analysis of high-throughput data by accounting for proliferation confounders.

bioRxiv · Mar 15, 2022Cell Biology

Conformational maps of human 20S proteasomes reveal PA28- and immuno-dependant inter-ring crosstalks

J. Lesne, M. Locard-Paulet, J. Parra, D. Zivkovic, M.-P. Bousquet, O. Burlet-Schiltz, J. Marcoux

The paper uses HDX-MS to show conformational differences between human 20S proteasomes and their PA28 activators, revealing allosteric changes upon binding.

bioRxiv · May 5, 2020Biophysics