Evidence map›Paper›PMID 41269562›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

A Versatile Ribo-seq Workflow for Enhanced Analysis of Ribosome Dynamics.

Hélène Hérault, Armelle Choquet, Alexandre David

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hélène HéraultIRCM, Univ Montpellier, ICM, INSERM, Montpellier, France.
Armelle ChoquetIRCM, Univ Montpellier, ICM, INSERM, Montpellier, France.
Alexandre DavidIRCM, Univ Montpellier, ICM, INSERM, Montpellier, France. alexandre.david@inserm.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ribosome profiling (or ribo-sequencing) is a powerful technique that enables high-resolution analysis of active translation by sequencing ribosome-protected mRNA fragments. Developed in 2009 by Nicholas Ingolia and Jonathan Weissman, it provides direct insights into which mRNAs are being translated and at what rate, surpassing traditional transcriptomic and proteomic methods. Ribo-seq allows for precise mapping of ribosome positions, enabling detailed characterization of ribosome dynamics and the identification of alternative translation initiation sites and upstream open reading frames. The standard workflow includes key steps such as ribosome stabilization, nuclease digestion, fragment isolation, and deep sequencing. The protocol described in this chapter incorporates a polysome profiling step prior to RNase treatment, allowing, for instance, the isolation of distinct ribosome species (also known as k-somes). Ribo-seq has transformed our understanding of translational regulation and has become an essential tool for omics studies in various fields such as developmental biology, cancer biology, virology, and microbiology.

Indexed as

High-Throughput Nucleotide SequencingRibosomesRNA, MessengerSequence Analysis, RNAHumansOpen Reading FramesPolyribosomesProtein BiosynthesisRibosome ProfilingWorkflowRNA, MessengerRibo-sequencingRibosome profilingRibosome-protected fragmentsTranslatome

Identifiers

PMID41269562

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.