ReviewCurrent opinion in plant biology2012
Integrative systems biology: an attempt to describe a simple weed.
Review in Current opinion in plant biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- A Practical Guide to Inferring Multi-Omics Networks in Plant Systems.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Data Management and Modeling in Plant Biology.Frontiers in plant science · 2021Review
- Expression of Key Structural Genes of the Phenylpropanoid Pathway Associated with Catechin Epimerization in Tea Cultivars.Frontiers in plant science · 2017Article
- Drawing Links from Transcriptome to Metabolites: The Evolution of Aroma in the Ripening Berry of Moscato Bianco (Frontiers in plant science · 2017Article
- Article
- A Journey Through a Leaf: Phenomics Analysis of Leaf Growth in Arabidopsis thaliana.The arabidopsis book · 2015Article
- The female gametophyte: an emerging model for cell type-specific systems biology in plant development.Frontiers in plant science · 2015Review
- Metabolic studies in plant organs: don't forget dilution by growth.Frontiers in plant science · 2014Article
- The biology of habitat dominance; can microbes behave as weeds?Microbial biotechnology · 2013Review
- Metabolic and Transcriptional Reprogramming in Developing Soybean (Glycine max) Embryos.Metabolites · 2013Article
- Data Mining Methods for Omics and Knowledge of Crude Medicinal Plants toward Big Data Biology.Computational and structural biotechnology journal · 2013Review
- Complementary proteome and transcriptome profiling in phosphate-deficient Arabidopsis roots reveals multiple levels of gene regulation.Molecular & cellular proteomics : MCP · 2012Article
- Discovery of new modules in metabolic biology using ChemoMetabolomics.Plant physiology · 2012Article
- Polyploidy and the evolution of complex traits.International journal of evolutionary biology · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Genome-scale studies hold great promise for revealing novel plant biology. Because of the complexity of these techniques, numerous considerations need to be made before embarking on a study. Here we focus on the Arabidopsis model system because of the wealth of available genome-scale data. Many approaches are available that provide genome-scale information regarding the state of a given organism (e.g. genomics, epigenomics, transcriptomics, proteomics, metabolomics interactomics, ionomics, phenomics, etc.). Integration of all of these types of data will be necessary for a comprehensive description of Arabidopsis. In this review we propose that 'triangulation' among transcriptomics, proteomics and metabolomics is a meaningful approach for beginning this integrative analysis and uncovering a systems level perspective of Arabidopsis biology.
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Identifiers
What OpenQuestion holds
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.