Author

Christopher Mark Skopnik

Humboldt-Universität zu BerlinORCID 0000-0002-6089-4769Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Molecular Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Anastasiya BoltengageniD· 2 shared Christian HinzeiD· 2 shared Christine KocksiD· 2 shared Jan KlockeiD· 2 shared Kai Martin Schmidt-OttiD· 2 shared Kai‐Uwe EckardtiD· 2 shared Nikolaus RajewskyiD· 2 shared Philipp EnghardiD· 2 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersMolecular Biology

Anastasiya BoltengagenORCID

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2 papers

Recent·Most cited

Urinary single-cell sequencing captures intrarenal injury and repair processes in human acute kidney injury

Jan Klocke, Seung Joon Kim, Christopher Mark Skopnik, Christian Hinze, Anastasiya Boltengagen, Diana Metzke, Emil Grothgar, Luka Prskalo, Leonie Felicitas Wagner, Paul A. Freund, Nina Goerlich, Frédéric Muench, Kai Martin Schmidt-Ott, Mir‐Farzin Mashreghi, Christine Kocks, , Philipp Enghard

This study uses urinary single-cell RNA sequencing to analyze injury and repair processes in acute kidney injury, identifying distinct cellular and molecular dynamics.

Kidney International · Aug 29, 2022Peer-reviewedMolecular Biology

Transcriptomic responses of the human kidney to acute injury at single cell resolution

Christian Hinze, Christine Kocks, Janna Leiz, Nikos Karaiskos, Anastasiya Boltengagen, Christopher Mark Skopnik, Jan Klocke, Jan-Hendrik Hardenberg, Helena Stockmann, Inka Gotthardt, Benedikt Obermayer, Laleh Haghverdi, Emanuel Wyler, Markus Landthaler, Sebastian Bachmann, , Kai Martin Schmidt-Ott

This study uses single-nuclei transcriptomics to analyze human kidney injury responses, identifying four injury-associated cell states and showing similar gene expression changes between AKI patients with and without COVID-19.

bioRxiv · Dec 15, 2021 · PreprintMolecular Biology