ArticleSTAR protocols2023
Protocol to measure ribosome density along mRNA transcripts of Arabidopsis thaliana tissues using Ribo-seq.
Article in STAR protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Transcriptome and translatome comparison of tissues from Arabidopsis thaliana.Scientific data · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ribosome profiling (Ribo-seq) measures ribosome density along messenger RNA (mRNA) transcripts and is used to estimate the "translational fitness" of a given mRNA in response to environmental or developmental cues with high resolution. Here, we describe a protocol for Ribo-seq in plants adapted for the model plant Arabidopsis thaliana. We describe steps for lysis and nucleolytic digestion and ribosome footprinting. We then detail library construction, sequencing, and data analysis.
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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.