ReviewPlant science : an international journal of experimental plant biology2012
Technologies for systems-level analysis of specific cell types in plants.
Review in Plant science : an international journal of experimental plant biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Cell polarity: having and making sense of direction-on the evolutionary significance of the primary cilium/centrosome organ in Metazoa.Open biology · 2018Review
- Cell-Type Specific Metabolic Flux Analysis: A Challenge for Metabolic Phenotyping and a Potential Solution in Plants.Metabolites · 2017Article
- Circadian regulation of hormone signaling and plant physiology.Plant molecular biology · 2016Review
- Cell-type specific metabolic profiling ofMetabolomics : Official journal of the Metabolomic Society · 2015Article
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
The study of biological processes at cell type resolution requires the isolation of the specific cell types from an organism, but this presents a great technical challenge. In recent years a number of methods have been developed that allow deep analyses of the epigenome, transcriptome, and ribosome-associated mRNA populations in individual cell types. The application of these methods has lead to a clearer understanding of important issues in plant biology, including cell fate specification and cell type-specific responses to the environment. In this review, we discuss current mechanical- and affinity-based technologies available for isolation and analysis of individual cell types in a plant. The integration of these methods is proposed as a means of achieving a holistic view of cellular processes at all levels, from chromatin dynamics to metabolomics. Finally, we explore the limitations of current methods and the needs for future technological development.
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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.