Author

J. Schrader

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· 2 Ecology· 2 Cell Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 4 Research Focus:cell type annotation· 2 Research Focus:drug response / drug discovery· 2 Research Focus:ecology & biodiversity· 2 Organism:mouse· 2 Organism:plant (other)· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1

Frequent Co-Authors

A. Taylor· 2 shared F. Essl· 2 shared H. Kreft· 2 shared J. Pergl· 2 shared L. Cai· 2 shared M. Winter· 2 shared P. Pysek· 2 shared P. Weigelt· 2 shared

Activity by Year

2020-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersEcology

A. Taylor

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

Phylogenetic endemism of the world's seed plants

L. Cai, H. Kreft, A. Taylor, J. Schrader, W. Dawson, F. Essl, M. van Kleunen, J. Pergl, P. Pysek, M. Winter, P. Weigelt

This study quantifies phylogenetic endemism in seed plants worldwide, identifying drivers and centers of neo- and paleoendemism, and highlights conservation priorities.

bioRxiv · Dec 28, 2022Ecology

Patient-derived tumoroids of advanced high-grade neuroendocrine neoplasms mimic patient chemotherapy responses and guide the design of personalized combination therapies

S. L. April-Monn, K. Detjen, P. Kirchner, K. Braeutigam, M. A. Trippel, T. Grob, C. Statzer, R. S. Maire, A. Kollar, A. Chouchane, C. A. Kunze, D. Horst, M. C. Sadowski, J. Schrader, I. Marinoni, , A. Perren

The paper develops patient-derived tumoroids to predict chemotherapy responses and identify synergistic drug combinations for high-grade GEP-NEN.

bioRxiv · Dec 10, 2022 · PreprintCancer Biology

Machine learning improves global models of plant diversity

L. Cai, H. Kreft, A. Taylor, P. Denelle, J. Schrader, F. Essl, M. v. Kleunen, J. Pergl, P. Pysek, A. Stein, M. Winter, J. F. Barcelona, N. Fuentes, I. Inderjit, D. N. Karger, , P. Weigelt

The paper uses machine learning and statistical models to predict global plant diversity patterns based on environmental data, achieving high accuracy for species and phylogenetic richness.

bioRxiv · Apr 8, 2022Ecology

Cdk5 drives formation of heterogeneous pancreatic neuroendocrine tumors

A. M. Carter, N. Kumar, B. Herring, C. Tan, R. Guenter, R. Telange, W. Howse, F. Viol, C. Graham, T. R. McCaw, h. Bickerton, F. Gillardon, E. A. Woltering, J. Totenhagen, R. Banerjee, , J. Bibb

This paper develops a mouse model of PanNETs driven by Cdk5 and shows its relevance to human tumors, supporting Cdk5 as a therapeutic target.

bioRxiv · May 25, 2021Cancer 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

Identification of fungal limonene-3-hydroxylases for biotechnological menthol production

F. M. Schempp, I. Strobel, M. M. W. Etschmann, E. Bierwirth, J. Panten, H. Schewe, J. Schrader, M. Buchhaupt

This study identifies fungal limonene-3-hydroxylases from Aureobasidium pullulans and Hormonema carpetanum for biotechnological menthol production.

bioRxiv · Nov 25, 2020Microbiology