ReviewPlants (Basel, Switzerland)2019
Gene Expression Maps in Plants: Current State and Prospects.
Review in Plants (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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
11 citing papers in PubMed.
- Transcriptome assemblies for two drug-type cannabis chemotypes by long-read RNA sequencing.The plant genome · 2026Article
- Calm in the midst of the storm: inferring gene expression stability in flowering plants.Frontiers in plant science · 2026Article
- The Role of CRABS CLAW Transcription Factor in Floral Organ Development in Plants.International journal of molecular sciences · 2025Review
- Organ-specific transcriptional regulation by HFR1 and HY5 in response to shade in Arabidopsis.Frontiers in plant science · 2024Article
- Ribosome profiling reveals the translational landscape and allele-specific translational efficiency in rice.Plant communications · 2023Article
- Interspecific comparison of gene expression profiles using machine learning.PLoS computational biology · 2023Article
- Comparative transcriptomics reveals commonalities and differences in the genetic underpinnings of a floral dimorphism.Scientific reports · 2022Article
- De novo transcriptome assembly and comparative transcriptomic analysis provide molecular insights into low temperature stress response of Canarium album.Scientific reports · 2021Article
- Transcriptome atlas ofPeerJ · 2021Article
- Organ-Specific Transcriptome Analysis Identifies Candidate Genes Involved in the Stem Specialization of Bermudagrass (Frontiers in genetics · 2021Article
- eQTL mapping of the 12S globulin cruciferin gene PGCRURSE5 as a novel candidate associated with starch content in potato tubers.Scientific reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
For many years, progress in the identification of gene functions has been based on classical genetic approaches. However, considerable recent omics developments have brought to the fore indirect but high-resolution methods of gene function identification such as transcriptomics, proteomics, and metabolomics. A transcriptome map is a powerful source of functional information and the result of the genome-wide expression analysis of a broad sampling of tissues and/or organs from different developmental stages and/or environmental conditions. In plant science, the application of transcriptome maps extends from the inference of gene regulatory networks to evolutionary studies. However, only some of these data have been integrated into databases, thus enabling analyses to be conducted without raw data; without this integration, extensive data preprocessing is required, which limits data usability. In this review, we summarize the state of plant transcriptome maps, analyze the problems associated with the combined analysis of large-scale data from various studies, and outline possible solutions to these problems.
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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.