ArticleFrontiers in plant science2013
Catalyzing plant science research with RNA-seq.
Article in Frontiers in plant science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 2 of them syntheses that pooled it.
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.
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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.
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Who cites it
80 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Transcriptomic Landscape and Regulatory Pathways of Drought Response in Rice (International journal of molecular sciences · 2026Pooled it
- Using RNA-Seq Data to Evaluate Reference Genes Suitable for Gene Expression Studies in Soybean.PloS one · 2015Pooled it
- Selection and Validation of qRT-PCR Reference Genes inCurrent issues in molecular biology · 2026Article
- Advances in Functional Genomics and Biotechnology for Enhancing Therapeutic Potential of Medicinal Plants.International journal of molecular sciences · 2026Review
- Transcriptional reprogramming under drought reveals divergent adaptive strategies in Quinoa.BMC plant biology · 2025Article
- Exploring the Genetic Networks of HLB Tolerance in Citrus: Insights Across Species and Tissues.Plants (Basel, Switzerland) · 2025Article
- A split ribozyme system for in vivo plant RNA imaging and genetic engineering.Plant biotechnology journal · 2025Article
- Evaluation of drought-tolerant chickpea genotypes (Frontiers in plant science · 2025Article
- Water stress modulates terpene biosynthesis and morphophysiology at different ploidal levels in Lippia alba (Mill.) N. E. Brown (Verbenaceae).Protoplasma · 2024Article
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- Plant Transcriptome Analysis with HISAT-StringTie-Ballgown and TopHat-Cufflinks Pipelines.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Full-Length Transcriptome Sequencing Analysis and Characterization of WRKY Transcription Factors Responsive to Cadmium Stress inPlants (Basel, Switzerland) · 2023Article
- Pyramiding Breeding of Low-Glutelin-ContentPlants (Basel, Switzerland) · 2023Article
- Transcriptome Dynamic Analysis Reveals New Candidate Genes Associated with Resistance to Fusarium Head Blight in Two Chinese Contrasting Wheat Genotypes.International journal of molecular sciences · 2023Article
- The genusFrontiers in plant science · 2023Review
- Integrated analysis of transcriptome, metabolome, and histochemistry reveals the response mechanisms of different agesFrontiers in plant science · 2023Article
- De Novo Transcriptome Analysis Reveals Flowering-Related Genes That Potentially Contribute to Flowering-Time Control in the Japanese Cultivated GentianInternational journal of molecular sciences · 2022Article
- Alternative Splicing and Its Roles in Plant Metabolism.International journal of molecular sciences · 2022Review
- Multi-omics data integration reveals link between epigenetic modifications and gene expression in sugar beet (Beta vulgaris subsp. vulgaris) in response to cold.BMC genomics · 2022Article
20 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Next generation DNA sequencing technologies are driving increasingly rapid, affordable and high resolution analyses of plant transcriptomes through sequencing of their associated cDNA (complementary DNA) populations; an analytical platform commonly referred to as RNA-sequencing (RNA-seq). Since entering the arena of whole genome profiling technologies only a few years ago, RNA-seq has proven itself to be a powerful tool with a remarkably diverse range of applications, from detailed studies of biological processes at the cell type-specific level, to providing insights into fundamental questions in plant biology on an evolutionary time scale. Applications include generating genomic data for heretofore unsequenced species, thus expanding the boundaries of what had been considered "model organisms," elucidating structural and regulatory gene networks, revealing how plants respond to developmental cues and their environment, allowing a better understanding of the relationships between genes and their products, and uniting the "omics" fields of transcriptomics, proteomics, and metabolomics into a now common systems biology paradigm. We provide an overview of the breadth of such studies and summarize the range of RNA-seq protocols that have been developed to address questions spanning cell type-specific-based transcriptomics, transcript secondary structure and gene mapping.
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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.