ReviewJournal of experimental botany2019
Sulphur systems biology-making sense of omics data.
Review in Journal of experimental botany, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
15 citing papers in PubMed.
- Hidden players in plant response to sulfur deficit and beyond: insights into the function of the proteins Sulfur Deficiency Induced and Response to Low Sulfur.Journal of experimental botany · 2026Review
- Sulfur Homeostasis in Rice as a Dynamic Regulatory Network: Functional Genomics, Metabolic Crosstalk, and miR395-Mediated Control.Molecular biotechnology · 2026Review
- Systems analysis of leaf anatomy and transcriptome using unsupervised machine learning provides insight on photosynthesis development and evolution in non-model grasses.Plant direct · 2026Article
- Molecular Evolution of Plant SULTR Proteins and Expression Analysis of HvSULTR Under Heat Stress in Barley.Plants (Basel, Switzerland) · 2025Article
- Sulfate Deficiency-Responsive MicroRNAs in Tomato Uncover an Expanded and Functionally Integrated Regulatory Network.International journal of molecular sciences · 2025Article
- Untargeted metabolomics reveals anion and organ-specific metabolic responses of salinity tolerance in willow.The Plant journal : for cell and molecular biology · 2025Article
- Development and applications of metabolic models in plant multi-omics research.Frontiers in plant science · 2024Review
- New insights into the regulation of plant metabolism by O-acetylserine: sulfate and beyond.Journal of experimental botany · 2023Article
- A Revised View of theInternational journal of molecular sciences · 2023Review
- The roles of plant proteases and protease inhibitors in drought response: a review.Frontiers in plant science · 2023Review
- Integrated transcriptomic and metabolomic analyses revealed the regulatory mechanism of sulfur application in grain yield and protein content in wheat (Frontiers in plant science · 2022Article
- Meeting the complexity of plant nutrient metabolism with multi-omics approaches.Journal of experimental botany · 2021Article
- Sulfur Homeostasis in Plants.International journal of molecular sciences · 2020Review
- Proteasomal Degradation of Proteins Is Important for the Proper Transcriptional Response to Sulfur Deficiency Conditions in Plants.Plant & cell physiology · 2020Article
- Transcriptomic analysis at organ and time scale reveals gene regulatory networks controlling the sulfate starvation response of Solanum lycopersicum.BMC plant biology · 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
No grant is acknowledged in the PubMed record.
Abstract
Systems biology approaches have been applied over the last two decades to study plant sulphur metabolism. These 'sulphur-omics' approaches have been developed in parallel with the advancing field of systems biology, which is characterized by permanent improvements of high-throughput methods to obtain system-wide data. The aim is to obtain a holistic view of sulphur metabolism and to generate models that allow predictions of metabolic and physiological responses. Besides known sulphur-responsive genes derived from previous studies, numerous genes have been identified in transcriptomics studies. This has not only increased our knowledge of sulphur metabolism but has also revealed links between metabolic processes, thus indicating a previously unexpected complex interconnectivity. The identification of response and control networks has been supported through metabolomics and proteomics studies. Due to the complex interlacing nature of biological processes, experimental validation using targeted or systems approaches is ongoing. There is still room for improvement in integrating the findings from studies of metabolomes, proteomes, and metabolic fluxes into a single unifying concept and to generate consistent models. We therefore suggest a joint effort of the sulphur research community to standardize data acquisition. Furthermore, focusing on a few different model plant systems would help overcome the problem of fragmented data, and would allow us to provide a standard data set against which future experiments can be designed and compared.
Indexed as
Identifiers
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.