Evidence map›Paper›PMID 36444300›Full record

ReviewiScience2022

Casting CRISPR-Cas13d to fish for microprotein functions in animal development.

Anthony James Treichel, Ariel Alejandro Bazzini

Open access · goldAbstract readReview
In one paragraph

Review in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Sketching microprotein portraits.Protein science : a publication of the Protein Society · 2026
    Review
  2. Functional Testing of Microproteins in a Vertebrate Model of Development.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. eLife · 2023
    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.

Anthony James TreichelStowers Institute for Medical Research, Kansas City, MO, USA.
Ariel Alejandro BazziniStowers Institute for Medical Research, Kansas City, MO, USA.
Stowers Institute for Medical Research · US

Funding

Small translated ORFs in the 3'UTR enhance translation in vertebratesR01GM136849 · NIGMS · STOWERS INSTITUTE FOR MEDICAL RESEARCH · PI BAZZINI, ARIEL · 2021 to 2025
$2.0M
NIGMS NIH HHS R01 GM136849
6 · The paper itself

Abstract

Protein coding genes were originally identified with sequence-based definitions that included a 100-codon cutoff to avoid annotating irrelevant open reading frames. However, many active proteins contain less than 100 amino acids. Indeed, functional genetics, ribosome profiling, and proteomic profiling have identified many short, translated open reading frames, including those with biologically active peptide products (microproteins). Yet, functions for most of these peptide products remain unknown. Because microproteins often act as key signals or fine-tune processes, animal development has already revealed functions for a handful of microproteins and provides an ideal context to uncover additional microprotein functions. However, many mRNAs during early development are maternally provided and hinder targeted mutagenesis approaches to characterize developmental microprotein functions. The recently established, RNA-targeting CRISPR-Cas13d system in zebrafish overcomes this barrier and produces potent knockdown of targeted mRNA, including maternally provided mRNA, and enables flexible, efficient interrogation of microprotein functions in animal development.

Indexed as

Complex system biologyDevelopmental biologyGenetics

Identifiers

PMID36444300
PMCPMC9700322
OpenAlexW4308660994

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.