Author

G. W. Klau

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1 Cell Biology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Research Focus:differential expression· 3 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Organism:Arabidopsis· 1 Assay:bulk RNA-seq· 1 Assay:CRISPR screen· 1

Frequent Co-Authors

A. Koprivova· 1 shared A. Lang· 1 shared B. J. Raphael· 1 shared C. Alter· 1 shared C. Dieterich· 1 shared C. Owenier· 1 shared J. F. Weber· 1 shared J. Hesse· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperPlant Biology

A. Koprivova

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Author profile →

3 papers

Recent·Most cited

Rhizobiales commensal bacteria promote Arabidopsis thaliana root growth via host sulfated peptide pathway

J. Hucklenbroich, T. Gigolashvili, A. Koprivova, P. Spohr, M. Nezamivand Chegini, G. W. Klau, S. Kopriva, R. T. Nakano

This study identifies TPST as a key mediator of Rhizobiales-induced root growth promotion in Arabidopsis, revealing lineage-specific mechanisms distinct from known sulfated peptide pathways.

bioRxiv · May 25, 2021 · PreprintPlant Biology

Single-cell transcriptomics defines heterogeneity of epicardial cells and fibroblasts within the infarcted heart

J. Hesse, C. Owenier, T. Lautwein, R. Zalfen, J. F. Weber, Z. Ding, C. Alter, A. Lang, M. Grandoch, N. Gerdes, J. W. Fischer, G. W. Klau, C. Dieterich, K. Köhrer, J. Schrader

The paper uses single-cell RNA sequencing to identify distinct epicardial stromal cell populations in infarcted mouse hearts and their potential cardiomyogenic properties.

bioRxiv · Jan 26, 2021Cell Biology

Integrating genetic dependencies and genomic alterations across pathways and cancer types

T. Y. Park, M. D. M. Leiserson, G. W. Klau, B. J. Raphael

The paper introduces SuperDendrix to analyze genetic dependencies and genomic alterations across cancer cell lines, revealing pathway-specific associations and lineage-specific transcription factor dependencies.

bioRxiv · Jul 13, 2020Cancer Biology