Evidence map›Paper›PMID 35625630›Full record

ReviewBiomolecules2022

On the Study of Deubiquitinases: Using the Right Tools for the Job.

Cody Caba, Azam Mohammadzadeh, Yufeng Tong

Abstract readReview
In one paragraph

Review in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Effect of inactivation of the USP19 deubiquitinase gene in mice on important phenotypes of aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  2. USP11 alleviates pathological cardiac hypertrophy via stabilizing SIRT6.Cellular and molecular life sciences : CMLS · 2026
    Article
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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.

Cody CabaDepartment of Chemistry and Biochemistry, University of Windsor, Windsor, ON N9B 3P4, Canada.ORCID 0000-0002-9971-7962
Azam MohammadzadehDepartment of Chemistry and Biochemistry, University of Windsor, Windsor, ON N9B 3P4, Canada.
Yufeng TongDepartment of Chemistry and Biochemistry, University of Windsor, Windsor, ON N9B 3P4, Canada.ORCID 0000-0001-7740-1812

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deubiquitinases (DUBs) have been the subject of intense scrutiny in recent years. Many of their diverse enzymatic mechanisms are well characterized in vitro; however, our understanding of these enzymes at the cellular level lags due to the lack of quality tool reagents. DUBs play a role in seemingly every biological process and are central to many human pathologies, thus rendering them very desirable and challenging therapeutic targets. This review aims to provide researchers entering the field of ubiquitination with knowledge of the pharmacological modulators and tool molecules available to study DUBs. A focus is placed on small molecule inhibitors, ubiquitin variants (UbVs), and activity-based probes (ABPs). Leveraging these tools to uncover DUB biology at the cellular level is of particular importance and may lead to significant breakthroughs. Despite significant drug discovery efforts, only approximately 15 chemical probe-quality small molecule inhibitors have been reported, hitting just 6 of about 100 DUB targets. UbV technology is a promising approach to rapidly expand the library of known DUB inhibitors and may be used as a combinatorial platform for structure-guided drug design.

Indexed as

Drug DesignUbiquitinDrug DiscoveryHumansUbiquitinationUbiquitin ThiolesteraseUbiquitinUbiquitin Thiolesteraseactivity-based probes (ABP)deubiquitinase (DUB)inhibitorsubiquitin (Ub)ubiquitin variant (UbV)

Identifiers

PMID35625630
PMCPMC9139131

What OpenQuestion holds

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LicenceCC BY
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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.