The Arabidopsis Leaf Quantitative Atlas: a Cellular and Subcellular Mapping Through Unified Data Integration

Overview

Journal Quant Plant Biol

Specialty Biology

Date 2024 Apr 4

PMID 38572078

Authors

Dimitri Tolleter

Edward N Smith

Clemence Dupont-Thibert

Clarisse Uwizeye

Denis Vile

Pauline Gloaguen

Denis Falconet

Giovanni Finazzi

Yves Vandenbrouck

Gilles Curien

Affiliations

Soon will be listed here.

Abstract

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.

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