Evidence map›Paper›PMID 26648080›Full record

ReviewCurrent drug targets2018

Ubiquitin and Ubiquitin-like proteins in cardiac disease and protection.

Jie Li, John A Johnson, Huabo Su

Abstract readReview
In one paragraph

Review in Current drug targets, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

17 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Proteomics of the heart.Physiological reviews · 2024
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Emerging Strategies Targeting Catabolic Muscle Stress Relief.International journal of molecular sciences · 2020
    Review
  14. Article
  15. Review
  16. Article
  17. 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

3 authors at 1 institution in 1 country.

Jie LiVascular Biology Center, Medical College of Georgia, Augusta University, Augusta, GA, United States.
John A JohnsonDepartment of Pharmacology and Toxicology, Medical College of Georgia, Augusta University, Augusta, GA, United States.
Huabo SuVascular Biology Center, Medical College of Georgia, Augusta University, Augusta, GA, United States.
Augusta University · US

Funding

Neddylation and cardiac protein quality controlR01HL124248 · NHLBI · AUGUSTA UNIVERSITY · PI SU, HUABO · 2014 to 2024
$4.1M
NHLBI NIH HHS R01 HL124248
6 · The paper itself

Abstract

Post-translational modification represents an important mechanism to regulate protein function in cardiac cells. Ubiquitin (Ub) and ubiquitin-like proteins (UBLs) are a family of protein modifiers that share a certain extent of sequence and structure similarity. Conjugation of Ub or UBLs to target proteins is dynamically regulated by a set of UBL-specific enzymes and modulates the physical and physiological properties of protein substrates. Ub and UBLs control a strikingly wide spectrum of cellular processes and not surprisingly are involved in the development of multiple human diseases including cardiac diseases. Further identification of novel UBL targets will expand our understanding of the functional diversity of UBL pathways in physiology and pathology. Here we review recent findings on the mechanisms, proteome and functions of a subset of UBLs and highlight their potential impacts on the development and progression of various forms of cardiac diseases.

Indexed as

AnimalsDisease ProgressionHeart DiseasesHumansProtein Processing, Post-TranslationalProteinsUbiquitinUbiquitinsProteinsUbiquitinUbiquitinscardiomyopathiesNEDD8proteasomeSUMOUbiquitinubiquitin-like proteins.

Identifiers

PMID26648080
PMCPMC4899309
OpenAlexW2419598250

What OpenQuestion holds

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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.