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Article Dans Une Revue Quantitative Plant Biology Année : 2024

The Arabidopsis leaf quantitative atlas: a cellular and subcellular mapping through unified data integration

Résumé

Quantitative analyses and models are required to connect a plant’s cellular organisation with its metabolism. However, quantitative data are often scattered over multiple studies, and finding such data and converting them into useful information is time-consuming. Consequently, there is a need to centralise the available data and to highlight the remaining knowledge gaps. Here, we present a step-by-step approach to manually extract quantitative data from various information sources, and to unify the data format. First, data from Arabidopsis leaf were collated, checked for consistency and correctness and curated by cross-checking sources. Second, quantitative data were combined by applying calculation rules. They were then integrated into a unique comprehensive, referenced, modifiable and reusable data compendium representing an Arabidopsis reference leaf. This atlas contains the metrics of the 15 cell types found in leaves at the cellular and subcellular levels.

Domaines

Botanique
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Origine : Publication financée par une institution
Licence : CC BY - Paternité

Dates et versions

hal-04504920 , version 1 (14-03-2024)

Licence

Paternité

Identifiants

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Dimitri Tolleter, Edward N Smith, Clémence Dupont-Thibert, Clarisse Uwizeye, Denis Vile, et al.. The Arabidopsis leaf quantitative atlas: a cellular and subcellular mapping through unified data integration. Quantitative Plant Biology, 2024, 5, pp.e2. ⟨10.1017/qpb.2024.1⟩. ⟨hal-04504920⟩
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