ReviewInternational journal of molecular sciences2020
Plant Single-Cell Metabolomics-Challenges and Perspectives.
Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed, 76 citations in OpenAlex.
- Integrating Single-Cell and Spatial Multi-Omics to Decode Plant-Microbe Interactions at Cellular Resolution.Microorganisms · 2026Review
- Metabolic reprogramming in sepsis-associated encephalopathy: emerging mechanisms, candidate biomarkers, and future therapeutic directions.Frontiers in medicine · 2026Review
- Plant metabolism: Zoom in to the single-cell level.Plant physiology · 2025Review
- Advances in Functional Genomics for Exploring Abiotic Stress Tolerance Mechanisms in Cereals.Plants (Basel, Switzerland) · 2025Review
- Spatially Resolved Plant Metabolomics.Metabolites · 2025Review
- Resolving multi-image spatial lipidomic responses to inhaled toxicants by machine learning.Nature communications · 2025Article
- Metabolic reprogramming and therapeutic targeting in non-small cell lung cancer: emerging insights beyond the Warburg effect.Frontiers in oncology · 2025Review
- Metabolic strategies in hypoxic plants.Plant physiology · 2024Review
- Machine learning of metabolite-protein interactions from model-derived metabolic phenotypes.NAR genomics and bioinformatics · 2024Article
- Amino acids biosynthesis in root hair development: a mini-review.Biochemical Society transactions · 2024Review
- Quantitative Single-Cell Mass Spectrometry Provides a Highly Resolved Analysis of Natural Product Biosynthesis Partitioning in Plants.Journal of the American Chemical Society · 2024Article
- The Arabidopsis leaf quantitative atlas: a cellular and subcellular mapping through unified data integration.Quantitative plant biology · 2024Article
- Spatial regulation of plant hormone action.Journal of experimental botany · 2023Review
- Advances in single-cell metabolomics to unravel cellular heterogeneity in plant biology.Plant physiology · 2023Review
- Understanding plant pathogen interactions using spatial and single-cell technologies.Communications biology · 2023Review
- Fifty years of sperm cell isolations: from structural to omic studies.Journal of experimental botany · 2023Article
- Integrating multiomics data accelerates elucidation of plant primary and secondary metabolic pathways.aBIOTECH · 2023Review
- Metabolic pathways engineering for drought or/and heat tolerance in cereals.Frontiers in plant science · 2023Review
- Single-cell technologies: From research to application.Innovation (Cambridge (Mass.)) · 2022Review
- Metabolomics-Driven Mining of Metabolite Resources: Applications and Prospects for Improving Vegetable Crops.International journal of molecular sciences · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Omics approaches for investigating biological systems were introduced in the mid-1990s and quickly consolidated to become a fundamental pillar of modern biology. The idea of measuring the whole complement of genes, transcripts, proteins, and metabolites has since become widespread and routinely adopted in the pursuit of an infinity of scientific questions. Incremental improvements over technical aspects such as sampling, sensitivity, cost, and throughput pushed even further the boundaries of what these techniques can achieve. In this context, single-cell genomics and transcriptomics quickly became a well-established tool to answer fundamental questions challenging to assess at a whole tissue level. Following a similar trend as the original development of these techniques, proteomics alternatives for single-cell exploration have become more accessible and reliable, whilst metabolomics lag behind the rest. This review summarizes state-of-the-art technologies for spatially resolved metabolomics analysis, as well as the challenges hindering the achievement of sensu stricto metabolome coverage at the single-cell level. Furthermore, we discuss several essential contributions to understanding plant single-cell metabolism, finishing with our opinion on near-future developments and relevant scientific questions that will hopefully be tackled by incorporating these new exciting technologies.
Indexed as
Identifiers
What Socratic 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 Socratic graph.