ArticleBMC genomics2018
Plant stress RNA-seq Nexus: a stress-specific transcriptome database in plant cells.
Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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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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Who cites it
21 citing papers in PubMed.
- RNA-Seq Analysis in Plant Stress Memory: A Bioinformatics Protocol.Methods in molecular biology (Clifton, N.J.) · 2026Article
- PotatoBSLnc: a curated repository of potato long noncoding RNAs in response to biotic stress.Database : the journal of biological databases and curation · 2025Article
- Current methods and future needs for visible and non-visible detection of plant stress responses.Frontiers in plant science · 2025Review
- Integrated Transcriptomic, Proteomic, and Metabolomic Analyses Revealed Molecular Mechanism for Salt Resistance in Soybean (International journal of molecular sciences · 2024Article
- Confronting the data deluge: How artificial intelligence can be used in the study of plant stress.Computational and structural biotechnology journal · 2024Review
- Integrated miRNA and mRNA Transcriptome Analysis Reveals Regulatory Mechanisms in the Response of WinterInternational journal of molecular sciences · 2024Article
- Comparisons of two receptor-MAPK pathways in a single cell-type reveal mechanisms of signalling specificity.Nature plants · 2024Article
- Underground communication: Long non-coding RNA signaling in the plant rhizosphere.Plant communications · 2024Review
- Application of multiomics analysis to plant flooding response.Frontiers in plant science · 2024Review
- Specificity models in MAPK cascade signaling.FEBS open bio · 2023Review
- Roles of long non-coding RNAs in plant immunity.PLoS pathogens · 2023Review
- ASLncR: a novel computational tool for prediction of abiotic stress-responsive long non-coding RNAs in plants.Functional & integrative genomics · 2023Article
- Transcriptomics combined with physiological analysis reveals the mechanism of cadmium uptake and tolerance inFrontiers in plant science · 2023Article
- Multi-Omics Approaches and Resources for Systems-Level Gene Function Prediction in the Plant Kingdom.Plants (Basel, Switzerland) · 2022Review
- Physiological and transcriptome profiling revealed defense networks duringFrontiers in plant science · 2022Article
- Dynamic changes in the transcriptome landscape ofFrontiers in plant science · 2022Article
- Comparative transcriptomic analysis of the gene expression and underlying molecular mechanism of submergence stress response in orchardgrass roots.Frontiers in plant science · 2022Article
- Sorghum's Whole-Plant Transcriptome and Proteome Responses to Drought Stress: A Review.Life (Basel, Switzerland) · 2021Review
- Advances in Cereal Crop Genomics for Resilience under Climate Change.Life (Basel, Switzerland) · 2021Review
- Comparative transcriptomics reveals hidden issues in the plant response to arthropod herbivores.Journal of integrative plant biology · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundAbiotic and biotic stresses severely affect the growth and reproduction of plants and crops. Determining the critical molecular mechanisms and cellular processes in response to stresses will provide biological insight for addressing both climate change and food crises. RNA sequencing (RNA-Seq) is a revolutionary tool that has been used extensively in plant stress research. However, no existing large-scale RNA-Seq database has been designed to provide information on the stress-specific differentially expressed transcripts that occur across diverse plant species and various stresses.
resultsWe have constructed a comprehensive database, the plant stress RNA-Seq nexus (PSRN), which includes 12 plant species, 26 plant-stress RNA-Seq datasets, and 937 samples. All samples are assigned to 133 stress-specific subsets, which are constructed into 254 subset pairs, a comparison between selected two subsets, for stress-specific differentially expressed transcript identification.
conclusionsPSRN is an open resource for intuitive data exploration, providing expression profiles of coding-transcript/lncRNA and identifying which transcripts are differentially expressed between different stress-specific subsets, in order to support researchers generating new biological insights and hypotheses in molecular breeding or evolution. PSRN is freely available at http://syslab5.nchu.edu.tw/PSRN .
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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.