Author

Julian A. Arts

Linköping UniversityORCID 0000-0002-0803-9511Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Assay:scRNA-seq· 3 Organism:human· 2 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Approach:optimal transport· 1 Assay:scATAC-seq· 1

Frequent Co-Authors

Huiqing ZhouiD· 3 shared Dulce Lima CunhaiD· 2 shared Jos G.A. SmitsiD· 2 shared Ava DashtiiD· 1 shared Daniel AberdamiD· 1 shared David Fragoso Bento· 1 shared Dina JavidjamiD· 1 shared Federico BocciiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersMolecular Biology

Huiqing ZhouORCID

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3 papers

Recent·Most cited

Mapping heterogeneity drivers in human PSC-derived limbal stem cell differentiation through single-cell multi-modal analysis

Julian A. Arts, Dulce Lima Cunha, Sonja Harjuntausta, Meri Vattulainen, Jos G.A. Smits, Ine Bonthuis, David Fragoso Bento, Federico Bocci, Heli Skottman, Huiqing Zhou

The paper uses single-cell multi-modal analysis to identify molecular drivers of limbal stem cell differentiation from human PSCs, revealing key transcription factors and enhancers involved in lineage specification.

bioRxiv · Sep 23, 2026 · PreprintMolecular Biology

Perturbation of epithelial and limbal stem cell identity in a mouse model of pathologic corneal neovascularization

Mojdeh Abbasi, Dina Javidjam, Julian A. Arts, Petros Moustardas, Ava Dashti, Daniel Aberdam, James Guy Lyons, Stephanie Louise Watson, Huiqing Zhou, Neil Lagali

This study examines the effects of corneal injury and duloxetine treatment on limbal stem cell identity using single-cell transcriptomics in a mouse model.

Communications Biology · Aug 6, 2026Peer-reviewedMolecular Biology

Prediction of Cell States and Key Transcription Factors of the Human Cornea through Integrated Single-Cell Omics Analyses

Julian A. Arts, Sofia Fallo, Melanie S. Florencio, Jos G.A. Smits, Dulce Lima Cunha, Janou A. Y. Roubroeks, Mor M. Dickman, Vanessa L.S. LaPointe, Rosemary Yu, Huiqing Zhou

This paper integrates single-cell RNA-seq data to create a human corneal cell state meta-atlas and develops a machine learning tool to annotate cell states and identify key transcription factors.

PNAS Nexus · Jul 29, 2025Peer-reviewedCell Biology