Evidence map›Paper›PMID 23110892›Full record

ReviewThe Plant cell2012

Systems analysis of plant functional, transcriptional, physical interaction, and metabolic networks.

George W Bassel, Allison Gaudinier, Siobhan M Brady, Lars Hennig, Seung Y Rhee, Ive De Smet

Abstract readReview
In one paragraph

Review in The Plant cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

George W BasselSchool of Biosciences, University of Birmingham, Birmingham B15 2TT, United Kingdom.
Allison Gaudinier
Siobhan M Brady
Lars Hennig
Seung Y Rhee
Ive De Smet

Funding

Biotechnology and Biological Sciences Research Council BB_BB/H022457/1
6 · The paper itself

Abstract

Physiological responses, developmental programs, and cellular functions rely on complex networks of interactions at different levels and scales. Systems biology brings together high-throughput biochemical, genetic, and molecular approaches to generate omics data that can be analyzed and used in mathematical and computational models toward uncovering these networks on a global scale. Various approaches, including transcriptomics, proteomics, interactomics, and metabolomics, have been employed to obtain these data on the cellular, tissue, organ, and whole-plant level. We summarize progress on gene regulatory, cofunction, protein interaction, and metabolic networks. We also illustrate the main approaches that have been used to obtain these networks, with specific examples from Arabidopsis thaliana, and describe the pros and cons of each approach.

Indexed as

Metabolic Networks and PathwaysModels, BiologicalTranscription, GeneticArabidopsisGene Regulatory NetworksGenomicsMetabolomicsProteomicsSystems Biology

Identifiers

PMID23110892
PMCPMC3517224

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.