Author

Siebren Frölich

Radboud University NijmegenORCID 0000-0001-6925-8446Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2 Developmental Biology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:gene regulatory network inference· 3 Assay:ATAC-seq· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Simon J. van HeeringeniD· 3 shared Gert Jan C. VeenstraiD· 2 shared Maarten van der SandeiD· 2 shared Alberto Pérez-PosadaiD· 1 shared Alexia GrassoiD· 1 shared Ann Rose BrightiD· 1 shared Anna Guixeras-FontanaiD· 1 shared Arie B. BrinkmaniD· 1 shared

Activity by Year

2021-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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3 shared papersSystems Biology

Simon J. van HeeringenORCID

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4 papers

Recent·Most cited

Systems BiologyNature CommunicationsPeer-reviewedNov 27, 2025

The Regulatory Logic of Planarian Stem Cell Differentiation

Alberto Pérez-Posada, Helena García-Castro, Elena Emili…·Jordi Solana

The paper integrates single cell transcriptomics and chromatin accessibility data to uncover the regulatory logic of planarian stem cell differentiation, validating predictions with TF knockdown experiments.

2 citations

plant (other)scRNA-seq

𝕏 PostBluesky

Molecular BiologybioRxivPreprintJun 18, 2025

Methylome profiling of SetDB1 deficient ESCs reveals diverse epigenetic cross-talk during pluripotency

Nick G.P. Bovee, Stefan H. A. Hoogland, Ehsan Habibi…·Hendrik Marks

This study investigates DNA methylation changes in SetDB1-deficient mouse ESCs, revealing its role in silencing retrotransposons and imprinted regions through coordination with H3K9me3.

DOI 10.1101/2025.06.18.660343

mouseDNA methylation

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Systems BiologyNucleic Acids ResearchPeer-reviewedJun 28, 2021

ANANSE: An enhancer network-based computational approach for predicting key transcription factors in cell fate determination

Quan Xu, Γεώργιος Γεωργίου, Siebren Frölich…·Simon J. van Heeringen

ANANSE predicts key transcription factors in cell fate determination by analyzing enhancer-based regulatory networks across 18 human tissues.

96 citationstop 2%

humanbulk RNA-seq

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Developmental BiologyThe EMBO JournalPeer-reviewedFeb 8, 2021

Combinatorial action of transcription factors in open chromatin contributes to early cellular heterogeneity and organizer mesendoderm specification.

Ann Rose Bright, Siebe T. van Genesen, Qingqing Li…·Gert Jan C. Veenstra

The paper investigates how transcription factor combinations acting on open chromatin influence early cellular heterogeneity and organizer mesendoderm specification in Xenopus during gastrulation.

29 citations

ATAC-seqscRNA-seq

𝕏 PostBluesky