Evidence map›Paper›PMID 30926999›Full record

ArticleNucleic acids research2019

Generally applicable transcriptome-wide analysis of translation using anota2seq.

Christian Oertlin, Julie Lorent, Carl Murie, Luc Furic, Ivan Topisirovic, Ola Larsson

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
5.3field-weighted citation impact, top 3% of its field
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

63 citing papers in PubMed, 106 citations in OpenAlex.

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  7. Capturing Translation in Action with Protein Synthesis Profiling.bioRxiv : the preprint server for biology · 2025
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3 more citing papers are in PubMed but not listed here.

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

6 authors at 4 institutions in 3 countries.

Christian OertlinDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden.
Julie LorentDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden.
Carl MurieDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden.
Luc FuricCancer Program, Biomedicine Discovery Institute and Department of Anatomy & Developmental Biology, Monash University, VIC, Australia.
Ivan TopisirovicLady Davis Institute, SMBD Jewish General Hospital, Gerald Bronfman Department of Oncology, and Departments of Experimental Medicine, and Biochemistry McGill University, Montreal, Canada.
Ola LarssonDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SEScience for Life Laboratory · SEJewish General Hospital · CAMonash University · AU

Funding

Control of Protein Synthesis by the UPS Under StressR01CA202021 · NCI · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI RONAI, ZEEV A. · 2016 to 2020
$2.3M
NCI NIH HHS R01 CA202021
6 · The paper itself

Abstract

mRNA translation plays an evolutionarily conserved role in homeostasis and when dysregulated contributes to various disorders including metabolic and neurological diseases and cancer. Notwithstanding that optimal and universally applicable methods are critical for understanding the complex role of translational control under physiological and pathological conditions, approaches to analyze translatomes are largely underdeveloped. To address this, we developed the anota2seq algorithm which outperforms current methods for statistical identification of changes in translation. Notably, in contrast to available analytical methods, anota2seq also allows specific identification of an underappreciated mode of gene expression regulation whereby translation acts as a buffering mechanism which maintains protein levels despite fluctuations in corresponding mRNA abundance ('translational buffering'). Thus, the universal anota2seq algorithm allows efficient and hitherto unprecedented interrogation of translatomes which is anticipated to advance knowledge regarding the role of translation in homeostasis and disease.

Indexed as

AlgorithmsProtein BiosynthesisData Interpretation, StatisticalOligonucleotide Array Sequence AnalysisProteinsRibosomal ProteinsRibosomesSequence Analysis, RNATranscriptomeProteinsRibosomal Proteins

Identifiers

PMID30926999
PMCPMC6614820
OpenAlexW2932166412

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.