Author

S. Scandola

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· 4

Signature Assays, Organisms & Methods

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Assay:proteomics· 4 Approach:experimental assay· 3 Assay:metabolomics· 3 Organism:Arabidopsis· 2 Research Focus:chromatin & epigenetic regulation· 2 Research Focus:development & morphogenesis· 2 Organism:plant (other)· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

D. Mehta· 4 shared R. G. Uhrig· 4 shared B. Castillo· 2 shared C. Kennedy· 1 shared C. Lummer· 1 shared E. Scarpella· 1 shared L. E. Grubb· 1 shared M. C. Rodriguez· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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4 shared papersPlant Biology

D. Mehta

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Author profile →

4 papers

Recent·Most cited

Twilight length alters growth, flowering time, and clock function in Arabidopsis via LHY/CCA1

D. Mehta, S. Scandola, C. Kennedy, C. Lummer, M. C. Rodriguez Gallo, L. E. Grubb, M. Tan, E. Scarpella, R. G. Uhrig

This study shows that twilight length affects Arabidopsis growth, flowering time, and circadian clock function through the LHY/CCA1 pathway.

bioRxiv · Jun 9, 2023Plant Biology

Integrated Systems-Level Proteomics and Metabolomics Reveals the Diel Molecular Landscape of Diverse Kale Cultivars

S. Scandola, D. Mehta, B. Castillo, N. Boyce, R. G. Uhrig

The paper analyzes diel proteome and metabolome changes in nine kale cultivars to understand their molecular landscape under vertical farming conditions.

bioRxiv · Apr 9, 2022Plant Biology

Multi-omic analysis of the Arabidopsis clock activator mutant rve 4 6 8 reveals connections to carbohydrate metabolism and proteasome regulation

S. Scandola, D. Mehta, Q. Li, M. C. Rodriguez, B. Castillo, R. G. Uhrig

This study uses multi-omics analysis to show that RVE8-like proteins in Arabidopsis affect carbohydrate metabolism and proteasome activity, leading to altered plant growth and physiology.

bioRxiv · Oct 25, 2021 · PreprintPlant Biology

Library-free BoxCarDIA solves the missing value problem in label-free quantitative proteomics

D. Mehta, S. Scandola, R. G. Uhrig

This paper introduces BoxCarDIA, a library-free method for label-free quantitative proteomics that improves protein quantification and addresses the missing-value problem in plant proteomics.

bioRxiv · Nov 7, 2020 · PreprintPlant Biology