ReviewThe Plant journal : for cell and molecular biology2020
Network-based approaches for understanding gene regulation and function in plants.
Review in The Plant journal : for cell and molecular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 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.
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Who cites it
39 citing papers in PubMed, 92 citations in OpenAlex.
- Predicting transcriptional regulators in plants in the era of artificial intelligence.Current opinion in plant biology · 2026Review
- From knowledge graph to topological data analysis: a novel framework to analyze gene regulatory networks for tomato-multi-pathogen interactions.The New phytologist · 2026Article
- Protocol for applying a network-enabled gene discovery pipeline to non-model plant species.STAR protocols · 2026Article
- A tissue-resolved, network-based transcriptomic framework for abiotic stress responses in sorghum.The Plant journal : for cell and molecular biology · 2026Article
- Integrative machine learning approach for identifying genes associated with quantitative traits: A soybean (Glycine max) yield case study.The plant genome · 2026Article
- ABI5-binding proteins are substrates of key components in the ABA core signaling pathway affecting seeds.Plant physiology · 2026Article
- Decoding nitrogen uptake efficiency in maize and sorghum: insights from comparative gene regulatory networks.The Plant journal : for cell and molecular biology · 2025Article
- cis- and trans-elements for the transcriptional regulation of sugar responsive genes: from current knowledge to future applications.Plant molecular biology · 2025Review
- Unlocking gene regulatory networks for crop resilience and sustainable agriculture.Nature biotechnology · 2025Review
- Improving plant breeding through AI-supported data integration.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- Article
- Comparative Transcriptomic Analyses Reveal Key Pathways in Response to Cold Stress at the Germination Stage of Quinoa (Plants (Basel, Switzerland) · 2025Article
- Accelerating crop improvement via integration of transcriptome-based network biology and genome editing.Planta · 2025Review
- Article
- Cytogenetic impact of gamma radiation and its effects on growth, yield and drought tolerance of maize (Zea mays L.).BMC plant biology · 2025Article
- A network-enabled pipeline for gene discovery and validation in non-model plant species.Cell reports methods · 2025Article
- Integrated gene network analysis and experimental validation identify key hub genes in potato response to Potato Virus Y infection.PloS one · 2025Article
- Epigenomic and 3D genomic mapping reveals developmental dynamics and subgenomic asymmetry of transcriptional regulatory architecture in allotetraploid cotton.Nature communications · 2024Article
- Systems genomics of salinity stress response in rice.bioRxiv : the preprint server for biology · 2024Article
- Transcriptional regulatory network reveals key transcription factors for regulating agronomic traits in soybean.Genome biology · 2024Article
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 at 1 institution in 1 country.
Funding
Abstract
Expression reprogramming directed by transcription factors is a primary gene regulation underlying most aspects of the biology of any organism. Our views of how gene regulation is coordinated are dramatically changing thanks to the advent and constant improvement of high-throughput profiling and transcriptional network inference methods: from activities of individual genes to functional interactions across genes. These technical and analytical advances can reveal the topology of transcriptional networks in which hundreds of genes are hierarchically regulated by multiple transcription factors at systems level. Here we review the state of the art of experimental and computational methods used in plant biology research to obtain large-scale datasets and model transcriptional networks. Examples of direct use of these network models and perspectives on their limitations and future directions are also discussed.
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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.