ArticleScientific data2025
Transcriptome and translatome comparison of tissues from Arabidopsis thaliana.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Genome-wide ribosome profiling reveals a dynamic translational landscape in Arabidopsis seedling roots under simulated microgravity.Communications biology · 2026Article
- Multiomics analysis of the Silkworm cocoon shell.Scientific data · 2025Article
- Transcriptome and translatome comparison of tissues from Arabidopsis thaliana.Scientific data · 2025Article
- Protocol to measure ribosome density along mRNA transcripts of Arabidopsis thaliana tissues using Ribo-seq.STAR protocols · 2023Article
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Authors and funding
5 authors.
Funding
Abstract
Translation is one of the multiple complementary steps that orchestrates gene activity. In contrast to the straightforwardness of transcriptional surveys, genome-wide profiles of the translational landscape of plant cells remain technically challenging and are thus less well explored. Protein-coding genes are expressed at a variable degree of efficiency, resulting in pronounced discordance among the regulatory levels that govern gene activity. Ribo-Seq is an extremely useful tool for estimating translation efficiency, but the data sets available for plants are limited. Here, we compare inventories of expressed and translated RNA populations, generated by mRNA sequencing (RNA-Seq) and ribosome footprinting (Ribo-Seq) from shoots and roots of Arabidopsis thaliana seedlings. Our data set provides information on the translational fitness of protein-coding mRNAs that may aid in obtaining a comprehensive picture of the regulatory levels governing genes activity across the genome.
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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.