ReviewCurrent opinion in plant biology2020
The promise of single-cell genomics in plants.
Review in Current opinion in plant biology, 2020. 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.
- Integrating single-cell omic techniques to resolve the spatio-temporal complexity of arbuscular mycorrhizal symbiosis.Journal of experimental botany · 2026Review
- Advances in the Application of Single-Cell Transcriptomics in Plant Systems and Synthetic Biology.Biodesign research · 2024Review
- Dynamics of alternative polyadenylation in single root cells ofFrontiers in plant science · 2024Article
- High expression of the MADS-box gene VRT2 increases the number of rudimentary basal spikelets in wheat.Plant physiology · 2022Article
- Single-Cell RNA Sequencing for Plant Research: Insights and Possible Benefits.International journal of molecular sciences · 2022Review
- A single-cell Arabidopsis root atlas reveals developmental trajectories in wild-type and cell identity mutants.Developmental cell · 2022Article
- Single-cell genomics in plants: current state, future directions, and hurdles to overcome.Plant physiology · 2022Article
- Advancing root developmental research through single-cell technologies.Current opinion in plant biology · 2022Review
- The biology of time: dynamic responses of cell types to developmental, circadian and environmental cues.The Plant journal : for cell and molecular biology · 2022Review
- Single-cell RNA-seq describes the transcriptome landscape and identifies critical transcription factors in the leaf blade of the allotetraploid peanut (Arachis hypogaea L.).Plant biotechnology journal · 2021Article
- Potentials of single-cell genomics in deciphering cellular phenotypes.Current opinion in plant biology · 2021Review
- Article
- Quantitative imaging of RNA polymerase II activity in plants reveals the single-cell basis of tissue-wide transcriptional dynamics.Nature plants · 2021Article
- The regulatory landscape of Arabidopsis thaliana roots at single-cell resolution.Nature communications · 2021Article
- A Sight on Single-Cell Transcriptomics in Plants Through the Prism of Cell-Based Computational Modeling Approaches: Benefits and Challenges for Data Analysis.Frontiers in genetics · 2021Review
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.
Funding
Abstract
Single-cell genomic approaches have the potential to revolutionize the study of plant systems. Here, we highlight newly developed techniques to analyze transcriptomes at single-cell resolution. We focus on the rigorous standards necessary to generate and compare these data sets introducing analysis methods that can be applied to interpret their results. Lastly, we discuss the inherent limitations of single-cell studies and address future directions for plant single-cell genomics.
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.