Evidence map›Paper›PMID 37941503›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2024

Mechanistic toxicology in light of genetic compensation.

Mary Jane Elizalde, Daniel A Gorelick

Open access · bronzeAbstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Toxics · 2026
    Article
  2. Article
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

2 authors at 1 institution in 1 country.

Mary Jane ElizaldeDepartment of Molecular & Cellular Biology, Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX 77030, United States.
Daniel A GorelickDepartment of Molecular & Cellular Biology, Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX 77030, United States.ORCID 0000-0001-5021-0020
Baylor College of Medicine · US

Funding

Hematology Training ProgramT32DK060445 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI GOODELL, MARGARET A. · 2002 to 2023
$8.3M
INVESTIGATING ARYL HYDROCARBON RECEPTOR-COFACTOR INTERACTIONS THAT MEDIATE TOXICITYR01ES026337 · NIEHS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Daniel Gorelick · 2016 to 2026
$3.9M
Plausible Causative Mechanism for Dolutegravir Developmental ToxicityR01HD100229 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI CABRERA, ROBERT M, GORELICK, DANIEL · 2019 to 2023
$3.4M
NICHD NIH HHS R01 HD100229NIDDK NIH HHS T32 DK060445NIEHS NIH HHS R01 ES026337NIH HHS R01ES026337NIH HHS R01HD100229NIH HHS T32DK060445
6 · The paper itself

Abstract

Mechanistic toxicology seeks to identify the molecular and cellular mechanisms by which toxicants exert their deleterious effects. One powerful approach is to generate mutations in genes that respond to a particular toxicant, and then test how such mutations change the effects of the toxicant. CRISPR is a rapid and versatile approach to generate mutations in cultured cells and in animal models. Many studies use CRISPR to generate short insertions or deletions in a target gene and then assume that the resulting mutation, such as a premature termination codon, causes a loss of functional protein. However, recent studies demonstrate that this assumption is flawed. Cells can compensate for short insertion and deletion mutations, leading toxicologists to draw erroneous conclusions from mutant studies. In this review, we will discuss mechanisms by which a mutation in one gene may be rescued by compensatory activity. We will discuss how CRISPR insertion and deletion mutations are susceptible to compensation by transcriptional adaptation, alternative splicing, and rescue by maternally derived gene products. We will review evidence that measuring levels of messenger RNA transcribed from a mutated gene is an unreliable indicator of the severity of the mutation. Finally, we provide guidelines for using CRISPR to generate mutations that avoid compensation.

Indexed as

CRISPRexposuresgenetic compensationmodel organismsmutagenesis

Identifiers

PMID37941503
PMCPMC10823772
OpenAlexW4388539923

What OpenQuestion 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 OpenQuestion graph.