Author

Isabella Siepe

BASF (Germany)ORCID 0000-0001-6661-5313Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Evolutionary Biology· 1 Microbiology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:fungi (other)· 1 Research Focus:genome assembly· 1

Frequent Co-Authors

Andrea Tobian Herreno· 2 shared Pu HuangiD· 2 shared Remco StamiD· 2 shared Crystel Barbisan· 1 shared Ilaria PiazzaiD· 1 shared Lukas ReiteriD· 1 shared Natalie de SouzaiD· 1 shared Nigel BeatoniD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersEvolutionary Biology

Andrea Tobian Herreno

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3 papers

Recent·Most cited

Evolutionary BiologybioRxivPreprintAug 22, 2026

Standing genetic variation buffers field populations of Zymoseptoria tritici against seasonal and fungicide selection

Andrea Tobian Herreno, Pu Huang, Isabella Siepe, Remco Stam

The paper analyzes whole-genome sequences from wheat fields to determine how seasonal changes and fungicide use affect genetic variation in Zymoseptoria tritici.

DOI 10.64898/2026.08.20.745885

fungi (other)whole-genome sequencing

𝕏 PostBluesky

MicrobiologyMolecular Plant-Microbe InteractionsPeer-reviewedJan 1, 2025

Zymoseptoria tritici show local differences in within-field diversity and effector variation

Andrea Tobian Herreno, Pu Huang, Isabella Siepe, Remco Stam

The paper analyzes whole-genome sequences of Zymoseptoria tritici from three fields to assess within-field diversity and effector variation, finding higher diversity than previously reported and effector haplotypes within single lesions.

2 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky

Systems BiologybioRxivPreprintDec 1, 2019

LiP-Quant, an automated chemoproteomic approach to identify drug targets in complex proteomes

Ilaria Piazza, Nigel Beaton, Roland Bruderer…·Lukas Reiter

LiP-Quant identifies drug targets in complex proteomes using limited proteolysis and mass spectrometry, providing EC50 estimates and distinguishing between homologous proteins.

5 citations

humanproteomics

𝕏 PostBluesky