ArticlePlant physiology2017
Predictive Models of Spatial Transcriptional Response to High Salinity.
Article in Plant physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 30 citations in OpenAlex.
- Design and Testing of Root-Specific Synthetic Promoters by Machine Learning.International journal of molecular sciences · 2026Article
- Stage-resolved gene regulatory network analysis reveals developmental reprogramming and genes with robust stem-preferred expression in sorghum.BMC plant biology · 2025Article
- Cellular clarity: a logistic regression approach to identify root epidermal regulators of iron deficiency response.BMC genomics · 2023Article
- Machine learning: its challenges and opportunities in plant system biology.Applied microbiology and biotechnology · 2022Review
- Modeling temporal and hormonal regulation of plant transcriptional response to wounding.The Plant cell · 2022Article
- Machine learning models reveal the importance of time-point specific cis-regulatory elements in Arabidopsis thaliana wounding response.The Plant cell · 2022Article
- Prediction of conserved and variable heat and cold stress response in maize using cis-regulatory information.The Plant cell · 2022Article
- Temporal regulation of cold transcriptional response in switchgrass.Frontiers in plant science · 2022Article
- TheNAR genomics and bioinformatics · 2020Article
- Putative cis-Regulatory Elements Predict Iron Deficiency Responses in Arabidopsis Roots.Plant physiology · 2020Article
- Improved recovery of cell-cycle gene expression in Saccharomyces cerevisiae from regulatory interactions in multiple omics data.BMC genomics · 2020Article
- Cis-Regulatory Code for Predicting Plant Cell-Type Transcriptional Response to High Salinity.Plant physiology · 2019Article
- Article
- TF2Network: predicting transcription factor regulators and gene regulatory networks in Arabidopsis using publicly available binding site information.Nucleic acids research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plants are exposed to a variety of environmental conditions, and their ability to respond to environmental variation depends on the proper regulation of gene expression in an organ-, tissue-, and cell type-specific manner. Although our knowledge of how stress responses are regulated is accumulating, a genome-wide model of how plant transcription factors (TFs) and cis-regulatory elements control spatially specific stress response has yet to emerge. Using Arabidopsis (
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.