ArticleQuantitative plant biology2024
The Arabidopsis leaf quantitative atlas: a cellular and subcellular mapping through unified data integration.
Article in Quantitative plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- Methodological considerations in the analysis of guard cell starch metabolism.The New phytologist · 2026Article
- The chloroplast cysteine synthase complex in guard cells is critical for stress-induced stomatal closure.Plant physiology · 2026Article
- Single-cell proteomics of Arabidopsis leaf mesophyll reveals dynamic protein responses to water-deficit stress.Genome biology · 2026Article
- Localising enzymes to biomolecular condensates increases their accumulation and benefits engineered metabolic pathway performance in Nicotiana benthamiana.Plant biotechnology journal · 2026Article
- Subcellular plant carbohydrate metabolism under elevated temperature.Plant physiology · 2025Article
- Impact factor: Playing a number on you.Quantitative plant biology · 2025Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.