Author

K. Denby

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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Plant Biology· 6

Signature Assays, Organisms & Methods

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Approach:statistical model· 5 Organism:Arabidopsis· 4 Assay:bulk RNA-seq· 4 Research Focus:gene regulatory network inference· 4 Organism:plant (other)· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

R. Hickman· 3 shared A. Talbot· 2 shared C. Yao· 2 shared D. Pink· 2 shared F. Gawthrop· 2 shared G. Higgins· 2 shared H. Pink· 2 shared J. Beynon· 2 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersPlant Biology

R. Hickman

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6 papers

Recent·Most cited

Identification of Lactuca sativa transcription factors impacting resistance to Botrytis cinerea through predictive network inference

H. Pink, A. Talbot, R. Carter, R. Hickman, O. Cooper, R. Law, G. Higgins, C. Yao, F. Gawthrop, P. Hand, D. Pink, J. Clarkson, K. Denby

The paper identifies transcription factors in lettuce that influence resistance to Botrytis cinerea by inferring gene regulatory networks from time-series expression data.

bioRxiv · Jul 19, 2023 · PreprintPlant Biology

Identification of genetic loci in lettuce mediating quantitative resistance to fungal pathogens

H. Pink, A. Talbot, A. Graceson, J. Graham, G. Higgins, A. Taylor, A. C. Jackson, M. Truco, R. Michelmore, C. Yao, F. Gawthrop, D. Pink, P. Hand, J. P. Clarkson, K. Denby

The paper identifies genetic loci in lettuce conferring quantitative resistance to fungal pathogens and predicts molecular mechanisms through transcriptome profiling.

bioRxiv · Mar 8, 2022Plant Biology

A high resolution single molecule sequencing-based Arabidopsis transcriptome using novel methods of Iso-seq analysis

R. Zhang, R. Kuo, M. Coulter, C. P. G. Calixto, J. C. Entizne, W. Guo, Y. Marquez, L. Milne, S. Riegler, A. Matsui, M. Tanaka, S. Harvey, G. Yubang, T. Wiebner-Kroh, M. Crespi, , J. W. Brown

This paper introduces a new Arabidopsis transcriptome dataset with improved accuracy and resolution using novel Iso-seq analysis methods, enhancing transcript expression and splicing analysis.

bioRxiv · Sep 2, 2021 · PreprintPlant Biology

Time series transcriptomics reveals a BBX32-directed control of dynamic acclimation to high light in mature Arabidopsis leaves

P. M. Mullineaux, R. Alvarez-Fernandez, C. A. Penfold, G. Galvez-Valdivieso, M. Exposito-Rodriguez, E. J. Stallard, L. Bowden, J. D. Moore, A. Mead, P. Davey, J. S. Matthews, J. Beynon, V. Buchanan-Wollaston, D. L. Wild, T. Lawson, , K. Denby

The paper identifies BBX32 as a key regulator of dynamic acclimation to high light in Arabidopsis by analyzing time-series transcriptomics data and constructing a gene regulatory network.

bioRxiv · Dec 23, 2020 · PreprintPlant Biology

Downy Mildew effector HaRxL21 interacts with the transcriptional repressor TOPLESS to promote pathogen susceptibility

S. Harvey, P. Kumari, D. Lapin, T. Griebel, R. Hickman, W. Guo, R. Zhang, J. E. Parker, J. Beynon, K. Denby, J. Steinbrenner

The paper identifies HaRxL21, an oomycete effector, and shows it interacts with TPL to suppress plant immunity and promote pathogen susceptibility.

bioRxiv · Apr 29, 2020Plant Biology

Transcriptional Dynamics of the Salicylic Acid Response and its Interplay with the Jasmonic Acid Pathway

R. Hickman, M. Pereira Mendes, M. C. Van Verk, A. J. H. Van Dijken, J. Di Sora, K. Denby, C. C. M. J. Pieterse, S. C. M. Van Wees

This study maps the transcriptional dynamics of salicylic acid (SA) response and its interaction with jasmonic acid (JA) in Arabidopsis using time-series gene expression data.

bioRxiv · Aug 24, 2019 · PreprintPlant Biology