ReviewFrontiers in plant science2020
Systematic Multi-Omics Integration (MOI) Approach in Plant Systems Biology.
Review in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 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
67 citing papers in PubMed.
- Chemical Ontogeny in Plants: Developmental Dynamics of Specialized Metabolism and Implications for Ecology, Quality Control, and Bioprospecting.Plants (Basel, Switzerland) · 2026Review
- Non-coding RNAs as central regulators of phytohormone signaling in plant abiotic stress responses.Plant molecular biology · 2026Review
- Recent Advances inBiology · 2026Review
- Beyond CRISPR/Cas9: emerging genome editing technologies for next-generation crop improvement.Molecular biology reports · 2026Review
- CartograPlant: bridging genomic, phenotypic, and environmental data to advance plant resilience and eco-evolutionary insight.Genetics · 2026Article
- Review
- Chemical Signaling and Metabolomic Crosstalk in Endophytic Fungi-Medicinal Plant Symbioses for Natural Product Discovery and Sustainable Bioproduction.Metabolites · 2026Review
- AI-integrated digital breeding for crop improvement.Frontiers in plant science · 2026Review
- Decoding plant volatile stress signals across scales: from molecular responses to ecosystem dynamics.Frontiers in plant science · 2026Review
- Tissue-specific biosynthesis and spatial distribution of xanthones in Garcinia oblongifolia revealed by integrated metabolomic and full-length transcriptomic analyses.BMC genomics · 2025Article
- The circadian clock of Populus affects physiological, transcriptional and metabolomic responses to osmotic and ionic components of salt stress.Npj biological timing and sleep · 2025Article
- A gap and synergy analysis of the European research infrastructure (RI) ecosystem: advancing the novel GRACE-RI dedicated to plant genetic resources.Annals of botany · 2025Article
- Unlocking gene regulatory networks for crop resilience and sustainable agriculture.Nature biotechnology · 2025Review
- Integrating Redox Proteomics and Computational Modeling to Decipher Thiol-Based Oxidative Post-Translational Modifications (oxiPTMs) in Plant Stress Physiology.International journal of molecular sciences · 2025Review
- Unlocking Plant Resilience: Metabolomic Insights into Abiotic Stress Tolerance in Crops.Metabolites · 2025Review
- Integration of multi-omics data and deep phenotyping provides insights into responses to single and combined abiotic stress in potato.Plant physiology · 2025Article
- Integrative Multi-Omics Approaches for Identifying and Characterizing Biological Elements in Crop Traits: Current Progress and Future Prospects.International journal of molecular sciences · 2025Review
- Proteomics: An Essential Tool to Study Plant-Specialized Metabolism.Biomolecules · 2024Review
- Integrating Proteomics and Metabolomics Approaches to Elucidate the Mechanism of Responses to Combined Stress in the Bell Pepper (Plants (Basel, Switzerland) · 2024Article
- Genome assembly of Melilotus officinalis provides a new reference genome for functional genomics.BMC genomic data · 2024Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Across all facets of biology, the rapid progress in high-throughput data generation has enabled us to perform multi-omics systems biology research. Transcriptomics, proteomics, and metabolomics data can answer targeted biological questions regarding the expression of transcripts, proteins, and metabolites, independently, but a systematic multi-omics integration (MOI) can comprehensively assimilate, annotate, and model these large data sets. Previous MOI studies and reviews have detailed its usage and practicality on various organisms including human, animals, microbes, and plants. Plants are especially challenging due to large poorly annotated genomes, multi-organelles, and diverse secondary metabolites. Hence, constructive and methodological guidelines on how to perform MOI for plants are needed, particularly for researchers newly embarking on this topic. In this review, we thoroughly classify multi-omics studies on plants and verify workflows to ensure successful omics integration with accurate data representation. We also propose three levels of MOI, namely element-based (level 1), pathway-based (level 2), and mathematical-based integration (level 3). These MOI levels are described in relation to recent publications and tools, to highlight their practicality and function. The drawbacks and limitations of these MOI are also discussed for future improvement toward more amenable strategies in plant systems biology.
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