Evidence map›Paper›PMID 36733466›Full record

ArticlemicroPublication biology2023

ADATscan - A flexible tool for scanning exomes for wobble inosine-dependent codons reveals a neurological bias for genes enriched in such codons in humans and mice.

Emery R Longan, Jillian Ramos, Dragony Fu

Open access · greenAbstract read
In one paragraph

Article in microPublication biology, 2023. 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, top 86% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 2 institutions in 1 country.

Emery R LonganUniversity of Rochester, Department of Biology, Rochester, NY 14620.
Jillian RamosDepartment of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, CO 80045.
Dragony FuUniversity of Rochester, Department of Biology, Rochester, NY 14620.
University of Rochester · USUniversity of Colorado Anschutz Medical Campus · US

Funding

VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Sally W Thurston · 1985 to 2026
$42.8M
NIEHS NIH HHS P30 ES001247
6 · The paper itself

Abstract

The conversion of adenosine to inosine at the wobble position of select tRNAs is essential for decoding specific codons in bacteria and eukarya. In eukarya, wobble inosine modification is catalyzed by the heterodimeric ADAT complex containing ADAT2 and ADAT3. Human individuals homozygous for loss of function variants in ADAT3 exhibit intellectual disability disorders. We created a flexible computational tool to scan the human, mouse, nematode, fruit fly, and yeast exomes for genes either enriched or depleted in ADAT-dependent codons as compared to background models of codon bias derived from the exomes themselves. We find that many genes are enriched or depleted for ADAT-dependent codons as compared to the genomic background in all five species. Among those genes enriched for ADAT-dependent codons in humans, we find there is significant Gene Ontology (GO) enrichment for genes involved in diverse neurological processes. This pattern persists in the mouse exome but not the fruit fly or nematode exome. In the nematode exome, genes enriched in ADAT-dependent codons are GO enriched for translation associated genes, and in yeast there is GO enrichment for genes involved in metabolic functions. There is also GO-term overlap between yeast and fruit flies. Importantly, in its generalized form, ADATscan can also be used to scan any exome for genes enriched in any subset of codons specified by the user.

Identifiers

PMID36733466
PMCPMC9887483
OpenAlexW4319062581

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Registered trials

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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.