Author

Zhaohui He

Humboldt-Universität zu BerlinORCID 0000-0002-8976-9494Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Approach:statistical model· 3 Organism:Arabidopsis· 2 Approach:experimental assay· 2 Assay:ATAC-seq· 1 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Kerstin KaufmanniD· 2 shared Xinkai ZhouiD· 2 shared Aleš PěnčíkiD· 1 shared Angel BaudoniD· 1 shared Caroline BraeuningiD· 1 shared Cezary SmaczniakiD· 1 shared Dijun CheniD· 1 shared Frederic CarewiD· 1 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersPlant Biology

Kerstin KaufmannORCID

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3 papers

Recent·Most cited

Ca2+ signature gates early auxin signaling in Arabidopsis roots

Huifang Song, Angel Baudon, Matthias Freund, Marek Randuch, Aleš Pěnčík, Ondřej Novák, Zhaohui He, Kerstin Kaufmann, Matthew Gilliham, Jiřı́ Friml, Rainer Hedrich, Shouguang Huang

The paper uses optogenetics to show that Ca2+ signals regulate early auxin signaling in Arabidopsis roots, affecting growth and transcriptional responses.

bioRxiv · Oct 4, 2025 · PreprintPlant Biology

Cellular dynamics and epidermal specialization during Arabidopsis floral development at single-cell resolution

Siye Chen, Manuel Neumann, Zhaohui He, Frederic Carew, Cezary Smaczniak, Caroline Braeuning, Sarah Richter, Yingjue Zhang, Xinkai Zhou, Kerstin Kaufmann

The paper constructs a single-nucleus transcriptomic atlas of Arabidopsis floral development and identifies key transcription factors regulating epidermal differentiation.

bioRxiv · Sep 1, 2025 · PreprintMolecular Biology

cisDynet: an integrated platform for modeling gene-regulatory dynamics and networks

Tao Zhu, Xinkai Zhou, Yuxin You, Lin Wang, Zhaohui He, Dijun Chen

cisDynet is a platform for analyzing chromatin accessibility data, integrating preprocessing, downstream analysis, and visualization to uncover gene regulatory networks and GWAS variant associations.

iMeta · Nov 1, 2023Peer-reviewedBioinformatics