Author

Ping Chen

University of HelsinkiORCID 0000-0002-8068-1891Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Ping Chen3 papers · Guangxi Medical University

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:mouse· 2 Assay:scRNA-seq· 2 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Anton J. M. LarssoniD· 1 shared Christoph ZiegenhainiD· 1 shared Daniel RamsköldiD· 1 shared Darren J. BridgewateriD· 1 shared Gert‐Jan HendriksiD· 1 shared Heidi Anttonen· 1 shared Julia KoivulaiD· 1 shared Kristen KurtzeborniD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperGenomics

Anton J. M. LarssonORCID

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3 papers

Recent·Most cited

GUANACO: A Unified Web-Based Platform for Single-Cell Multi-Omics Data Visualization

Xiyuan Zhang, Marian Binte Mohammed Mainuddin Kuddus, Qianqian Xia, Yizhou Hu, Ping Chen

GUANACO provides a code-free, interactive platform for visualizing single-cell RNA-seq and ATAC-seq data, enabling non-computational users to explore and share results effectively.

bioRxiv · Sep 18, 2025 · PreprintBioinformatics

Biomechanical regulation of cell shapes promotes branching morphogenesis of the ureteric bud epithelium

Kristen Kurtzeborn, Vladislav Iaroshenko, Tomáš Zárybnický, Julia Koivula, Heidi Anttonen, Darren J. Bridgewater, Ramaswamy Krishnan, Ping Chen, Satu Kuure

This study investigates how biomechanical regulation of cell shapes influences branching morphogenesis in the ureteric bud epithelium, identifying key cellular mechanics involved in branch formation.

bioRxiv · Mar 28, 2024 · PreprintDevelopmental Biology

Single-cell RNA counting at allele- and isoform-resolution using Smart-seq3

Michael Hagemann-Jensen, Christoph Ziegenhain, Ping Chen, Daniel Ramsköld, Gert‐Jan Hendriks, Anton J. M. Larsson, Omid R. Faridani, Rickard Sandberg

This paper introduces Smart-seq3, a single-cell RNA sequencing method that enables allele- and isoform-resolution RNA counting, showing improved sensitivity and isoform regulation detection in mouse and human samples.

Nature Biotechnology · May 4, 2020Peer-reviewedGenomics